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Paschall Truck Lines Has Open Driving Opportunities
Live Recruiters Available Now! Call REVVING THE DREAM Take your trucking career to the next level with PTL! We offer top tier pay, flexible home time, and outstanding benefits. Whether you prefer OTR (primarily running east of I-35), Dedicated, or Regional routes, we have options to fit your lifestyle. Why PTL?

• Higher Take-Home Pay - Get paid for every dispatched mile up to the day before payroll.
• Solo Drivers - Earn a starting base pay of $0.60 CPM , with milestone increases every 50,000 miles and no pay cap!
• Team Drivers - Start at $0.75 CPM , with increases every 100,000 miles starting from mile one!
• Military Veterans - We honor your service with extra pay for your time in the military, regardless of your MOS.
• 100% Employee-Owned - Earn company shares annually as part of our Employee Stock Ownership Plan (ESOP).

PTL at a Glance

• 85+ years in business
• 1,000+ trucks & 3,000+ trailers
• Average haul length: 700 miles
• 100% employee-owned company

INDUSTRY-LEADING PERKS Employee Ownership Program

• ESOP - Earned Equity
• 100% Employee-Owned!

Driver Perks

• Weekly Pay
• Paid Orientation
• Free Rider Program
• No-Deposit Pet Policy
• 100% No-Touch Freight
• Performance Bonuses
• Monthly Performance Bonus

Benefits Packages

• 401K Match
• Paid Vacation
• Free Life Insurance
• Medical, Dental & Vision Insurance

Driver Referral Awards

• Referral Bonuses - Get paid for bringing great drivers to PTL!

Additional Earnings Opportunities

• $75 for HAZMAT Loads
• $75 for Northeast Runs
• $100 for New York City Loads

REDISCOVER YOUR PASSION FOR THE OPEN ROAD. Make your dream a reality - apply today! Call or fill out our quick apply form now!

FirstFleet is now hiring CDL-A drivers
Local, Semi Local & Regional Route Options Available Find Your Local Terminal & Pay Rate:

• Auburn, ME: $1,400 - $2,100/wk
• Austin, MN: $1,200 - $1,300/wk
• Bardstown, KY: $1,400 - $2,000/wk
• Brattleboro, VT: $1,700 - $2,100/wk
• Cleveland, TN: $1,500 - $1,600/wk (Up to $2,300+ Year 2)
• Delaware, OH: $1,350 - $1,550/wk
• Denver, CO: $1,500/wk Average
• Lenexa, KS: $1,100 - $1,200/wk
• Lynchburg, VA: $1,200 - $1,600/wk
• Portland, TN: $1,670 - $1,800/wk
• Williamston, SC: $1,550/wk Average
• Winston-Salem, NC: $1,200 - $1,600/wk
• Indiana & Ohio Based Drivers Earn $1,800/Week + $4,500 Sign-On Bonus Paid Weekly for 6 Months
• Southeast Based Drivers Earn up to $1,670 - $1,800 Weekly Average ($2,200+/week for highest earners)

CDL-A Driver Benefits

• Premium Equipment: Drive assigned, late-model Volvo, International, and Peterbilt tractors.
• Unbeatable Healthcare: Protect your family with unbelievably low-cost medical, dental, vision, and hearing coverage.
• Guaranteed Pay Growth: Predictable, scheduled pay increases so your paycheck grows with your tenure.
• Performance Bonuses: Boost your earnings with our quarterly Safety & Fuel Bonus program.
• Long-Term Security: Matching 401(k) retirement plan, Paid Time Off (PTO), Life Insurance, and comprehensive Disability coverage.

CDL-A Driver Requirements

• At least 1 year of experience
• CDL A

FirstFleet is now hiring CDL-A drivers
Local, Semi Local & Regional Route Options Available Find Your Local Terminal & Pay Rate:

• Auburn, ME: $1,400 - $2,100/wk
• Austin, MN: $1,200 - $1,300/wk
• Bardstown, KY: $1,400 - $2,000/wk
• Brattleboro, VT: $1,700 - $2,100/wk
• Cleveland, TN: $1,500 - $1,600/wk (Up to $2,300+ Year 2)
• Delaware, OH: $1,350 - $1,550/wk
• Denver, CO: $1,500/wk Average
• Lenexa, KS: $1,100 - $1,200/wk
• Lynchburg, VA: $1,200 - $1,600/wk
• Portland, TN: $1,670 - $1,800/wk
• Williamston, SC: $1,550/wk Average
• Winston-Salem, NC: $1,200 - $1,600/wk
• Indiana & Ohio Based Drivers Earn $1,800/Week + $4,500 Sign-On Bonus Paid Weekly for 6 Months
• Southeast Based Drivers Earn up to $1,670 - $1,800 Weekly Average ($2,200+/week for highest earners)

CDL-A Driver Benefits

• Premium Equipment: Drive assigned, late-model Volvo, International, and Peterbilt tractors.
• Unbeatable Healthcare: Protect your family with unbelievably low-cost medical, dental, vision, and hearing coverage.
• Guaranteed Pay Growth: Predictable, scheduled pay increases so your paycheck grows with your tenure.
• Performance Bonuses: Boost your earnings with our quarterly Safety & Fuel Bonus program.
• Long-Term Security: Matching 401(k) retirement plan, Paid Time Off (PTO), Life Insurance, and comprehensive Disability coverage.

CDL-A Driver Requirements

• At least 1 year of experience
• CDL A

Innovation isn’t just a talking point at GM Financial, it’s how we operate. From generative AI and cloud-native technologies to peer-led learning and hackathons, our tech teams are building real solutions that make a difference. We’re committed to AI-powered transformation, using advanced machine learning and automation to help us reimagine customer interactions and modernize operations, positioning GM Financial as a leader in digital innovation within a dynamic industry.

Join us and discover a workplace where your ideas matter, your development is prioritized, and you can truly make a global impact.

This position will be posted until filled.

Responsibilities

About the Role:

At GM Financial, technology is a strategic differentiator. As we accelerate our transformation into an AI-enabled, data-driven global financial services organization, we are seeking a visionary Senior Vice President, Global Chief IT Architecture to define and lead the enterprise technology architecture that will power the next generation of automotive financing, digital experiences, intelligent operations, and innovation.

This is one of the most influential technology leadership roles in the company, partnering directly with executive leadership, business leaders, product teams, cybersecurity, engineering, data, and operations organizations to create a modern architecture strategy that enables growth, resilience, security, scalability, and AI-driven innovation across global markets.

The SVP Global Chief IT Architecture is responsible for leading enterprise architecture functions across application, solution, data, and cloud domains, while guiding innovation, defining standards, and ensuring architectural governance across all technology initiatives.

• Enterprise Strategy & Leadership
  • Establish and lead the enterprise technology architecture vision and roadmap
  • Provide significant input into GM Financial’s overall technology strategy and direction
  • Align architecture strategy with business priorities and corporate objectives
  • Advise executive leadership on emerging technologies and industry trends
• Architecture Governance & Standards
  • Establish architectural governance, standards, and decision frameworks
  • Ensure proper governance routines and compliance with standards
  • Define and maintain enterprise-wide architecture patterns and best practices
• Lead modernization of core applications, platforms, and infrastructure
• Drive cloud-native, API-first, and event-driven architecture strategies

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Micron Technology seeks a Senior/Principal SMTS in High-speed IO/Clocking Design Engineering to join our Boise, Idaho team. Relocation to Micron's Boise campus is required, with a focus on defining, designing and verifying IO and clocking circuits for next-generation DRAM products.

You will collaborate with Product Engineering, SI and process integration teams, mentor engineers, and drive robust design practices, timing and jitter analysis, and full-chip verification across product types.

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Overview

The AI Observability Architect is a senior technical leader responsible for designing, deploying, and operating an enterprise-grade, production-ready AI observability platform that spans the full spectrum of modern agentic AI — from large language model (LLM) workflows and multi-agent orchestration to physical AI systems, reinforcement learning harnesses, multi-modal pipelines, and agentic marketplaces. This role serves as the strategic and engineering authority for end-to-end telemetry, tracing, safety, and quality signals across heterogeneous agent frameworks and platforms.

The architect leads the convergence of AI observability with safety & security (including red teaming), Responsible AI (RAI), data science, physical AI, memory/skills engineering, agent fleet management, self-evolving harnesses, reinforcement learning, agent-to-agent protocols (A2A, UCP, AP2), and continuous quality engineering — making this a uniquely broad and high-impact role within the AI Solutions & Platforms organization.

The role also owns OpenTelemetry (OTEL) integration across third-party agentic platforms (Salesforce AgentForce, ServiceNow, Microsoft Agent 365, and others), enabling unified observability and governance at enterprise scale.

Responsibilities

Agentic AI Observability Architecture at Scale (30%)

• Define and own the enterprise observability architecture for AI agents, LLMs, multi-agent workflows, and physical AI systems — covering planner/executor loops, tool/function calls, RAG retrieval chains, and memory/state transitions.
• Build and operate unified telemetry pipelines incorporating metrics, logs, distributed traces, semantic/vector signals, and real-time event streaming (Kafka) at enterprise scale.
• Instrument OpenTelemetry (OTEL) across heterogeneous platforms including Salesforce AgentForce, ServiceNow, Microsoft Agent 365, and internal frameworks — delivering protocol-level observability for agent ecosystems including MCP, A2A, UCP, and AP2.
• Design and implement observability for Agent Fleets, multi-modal pipelines, physical AI systems, and self-evolving reinforcement learning harnesses — including signal capture for reward shaping and policy evaluation.
• Deliver dashboards, alerting, SLO/SLA management, incident runbook automation, and RCA tooling that drive measurable reliability improvements and reduce MTTR across agentic services.
• Establish cost telemetry and FinOps observability for AI workloads — token consumption, inference cost allocation, and GPU/compute efficiency across cloud environments (Azure, AWS, GCP).

Safety, Security & Red Teaming (15%)

• Lead observability-driven red team exercises targeting agentic AI systems — instrumenting attack surfaces, adversarial prompt injection vectors, model evasion attempts, and multi-agent trust boundary failures.
• Design telemetry pipelines that capture safety-critical signals: guardrail trigger rates, policy violation events, PII exposure risks, prompt leakage, and agent hallucination rates.
• Partner with Security and RAI teams to embed threat modeling, zero-trust agent authentication, and behavioral anomaly detection into the observability platform.
• Instrument secure policy enforcement layers across agent-to-agent communication protocols (A2A, UCP, AP2) and maintain audit-ready traceability for all AI decision events.
• Develop and maintain a Security Observability Playbook covering incident classification, escalation paths, and forensic trace retention policies for agentic AI systems.

Responsible AI (RAI) & Governance (10%)

• Integrate RAI signal capture — fairness, bias detection, explainability, and safety metrics — directly into observability pipelines, making compliance measurable and audit-ready.
• Deliver governance dashboards that surface RAI compliance posture across all active AI agents and LLM deployments, aligned with global regulatory standards.
• Support risk assessments, gap analyses, and governance frameworks with real-time observability insights — enabling proactive risk mitigation rather than reactive audit responses.
• Collaborate with RAI CoE and Legal/Compliance teams to define data retention, consent logging, and model decision traceability standards embedded in the telemetry architecture.

Quality Engineering for Agentic Solutions — Post Go-Live & Continuous QE (10%)

• Own the Continuous Quality Engineering (CQE) framework for post-production agentic solutions — defining and tracking quality metrics across accuracy, latency, agent success rate, tool-call fidelity, and user outcome measures.
• Build automated quality gates within CI/CD pipelines that leverage observability data to detect regressions, drift, and degradation in agent performance — preventing silent failures in production.
• Instrument and monitor Skill Evaluations (evals) across the Memory, Skills, and MCP harness stack — providing traceability from eval results to production behavior.
• Partner with product and business stakeholders to define SLA-backed quality benchmarks and deliver automated alerting when quality thresholds are breached.
• Drive root-cause analysis for quality failures using distributed trace data, enabling rapid iteration and continuous improvement cycles for agentic solutions.

Memory, Skills, MCP & Harness Engineering Observability (10%)

• Design and implement observability for the agent memory layer — episodic, semantic, and working memory read/write operations — providing latency, accuracy, and drift monitoring across memory backends.
• Instrument MCP (Model Context Protocol) server interactions, tool registrations, skill invocations, and context injection pipelines with full trace propagation and semantic tagging.
• Own observability for self-evolving harness and reinforcement learning (RL) systems — capturing reward signals, policy update events, environment state transitions, and learning convergence metrics.
• Monitor harness execution fidelity, skill eval pass/fail rates, and regression signals across training, fine-tuning, and inference workflows — feeding data back into the quality engineering loop.

Data Science Observability & Hardcore Python Engineering (5%)

• Lead a team of senior Python engineers building high-performance, production-grade observability tooling — including custom OTEL exporters, semantic trace enrichers, signal aggregators, and anomaly detection pipelines.
• Apply data science methods — statistical process control, time-series anomaly detection, clustering, and causal inference — to transform raw telemetry into actionable AI operational intelligence.
• Build and maintain Python-native SDKs and libraries that simplify observability onboarding for agent developers across the organization.
• Establish code quality standards, testing frameworks, and peer review practices for the observability engineering team — embedding software craftsmanship into the team culture.

Agentic Marketplace, Registry & Ecosystem Observability (5%)

• Instrument the Agentic Marketplace and Agent Registry platforms — providing usage telemetry, adoption metrics, capability health scores, and dependency mapping for registered agents and skills.
• Design observability APIs and SDK hooks that allow marketplace-registered agents to self-report health, performance, and behavioral signals into the central observability platform.
• Monitor inter-agent communication patterns across the marketplace ecosystem — identifying latency hotspots, circular dependencies, and protocol mismatches in agent-to-agent (A2A) workflows.
• Deliver a Marketplace Observability Dashboard surfacing agent catalog health, adoption trends, quality scores, and incident history — supporting marketplace governance and curation decisions.

Integration, Deployment & CI/CD Automation (5%)

• Build and maintain CI/CD pipelines for observability services and agent operations center components, incorporating automated testing, deployment gates, and rollback mechanisms.
• Automate onboarding for new agent use cases using templates, scaffolding, and configuration validation — reducing time-to-observability from weeks to hours.
• Drive infrastructure-as-code (IaC) practices for observability platform components across Azure, AWS, and GCP — ensuring reproducible, version-controlled, and auditable deployments.

Product Delivery & Stakeholder Collaboration (10%)

• Operate with a product mindset — defining observability platform roadmaps, OKRs, adoption playbooks, and release milestones in partnership with AI platform and business teams.
• Collaborate with transformation teams, enterprise architects, security, and business stakeholders to tailor observability solutions to domain-specific requirements.
• Serve as the technical authority in executive and governance forums — translating complex observability data into business-relevant insights on risk, cost, and AI performance.
• Partner with SRE, AI platform, and product teams to drive standard adoption and reduce integration friction across the agentic AI ecosystem.

People Leadership & Team Development (5%)

• Build, mentor, and lead a high-performing observability engineering team — spanning Python developers, data scientists, and platform engineers — with talent initially based in India.
• Define career paths, skills development plans, and leveling criteria aligned with PepsiCo job architecture — fostering an inclusive, high-accountability team culture.
• Drive hiring, coaching, performance management, and succession planning across the observability function.

Decision-Making Autonomy

• High — Owns architecture decisions, platform roadmap, and engineering standards. Strategic alignment sought from AI Solutions Director on enterprise-level commitments.

Supervision Required

• Low to Moderate — Operates independently with periodic alignment reviews. Proactively escalates cross-organizational dependencies and risk trade-offs.

Role Complexity

• Very High — Spans observability, safety/security, RL harnesses, physical AI, multi-modal systems, agent protocols, quality engineering, and marketplace governance simultaneously

Compensation and Benefits:

• The expected compensation range for this position is between $123,500 - $206,750.
• Location, confirmed job-related skills, experience, and education will be considered in setting actual starting salary. Your recruiter can share more about the specific salary range during the hiring process.
• Bonus based on performance and eligibility target payout is 15% of annual salary paid out annually.
• Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement.
• In addition to salary, PepsiCo offers a comprehensive benefits package to support our employees and their families, subject to elections and eligibility: Medical, Dental, Vision, Disability, Health, and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan.

Qualifications

Minimum Education & Experience:

• Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, Software Engineering, or a related field (PhD a plus for research-heavy domains).
• 12+ years in technology with deep experience in enterprise observability, distributed systems, platform engineering, or AI/ML infrastructure.
• 5+ years in a senior/principal or architect-level role with demonstrated ownership of complex, cross-functional technical programs.

Core Technical Qualifications

• AI Observability & Distributed Systems: Expert-level knowledge of observability primitives (metrics, logs, traces, events) applied to LLM/ML/agentic systems; hands-on OpenTelemetry (OTEL) instrumentation including custom exporters, semantic conventions, and trace propagation across agent/tool boundaries.
• Agentic AI Frameworks: Direct experience with agentic AI platforms, multi-agent orchestration, LLM-based workflow design, and agent lifecycle management at production scale.
• Safety, Security & Red Teaming: Demonstrated experience conducting red team exercises against AI systems; knowledge of adversarial attack patterns, prompt injection, model evasion, and multi-agent trust boundary failures; ability to design safety telemetry pipelines.
• Memory, Skills & MCP: Working knowledge of agent memory architectures (episodic, semantic, working memory), Model Context Protocol (MCP), skill registries, and context injection patterns — with ability to design observability for these layers.
• Agent-to-Agent Protocols: Familiarity with A2A (Agent-to-Agent), UCP (Universal Communication Protocol), and AP2 patterns; ability to implement protocol-level observability and policy enforcement.
• Reinforcement Learning & Self-Evolving Harnesses: Understanding of RL training loops, reward signal capture, policy evaluation, and harness instrumentation for continuously improving agent systems.
• Physical AI & Multi-Modal Systems: Experience or strong familiarity with observability for physical AI pipelines (robotics, edge inference, sensor fusion) and multi-modal models (vision, audio, text).
• Data Science & Python Engineering: Proficiency in Python at a senior engineering level; experience with statistical anomaly detection, time-series analysis, and data pipeline design applied to observability data at scale.
• Platform Integrations (OTEL / Enterprise): Hands-on experience integrating OTEL with enterprise agentic platforms including Salesforce AgentForce, ServiceNow, Microsoft Agent 365, or similar; strong understanding of enterprise integration patterns and API design.
• Cloud & Infrastructure: Cloud fluency across Azure, AWS, and GCP; proficiency in Kubernetes, service mesh, IaC (Terraform/Bicep), and CI/CD tooling; experience with event streaming platforms (Kafka, Event Hubs).
• Quality Engineering for AI: Experience designing continuous quality frameworks (CQE) for agentic solutions including eval harnesses, regression detection, quality gates, and SLA-backed quality benchmarking.
• Responsible AI (RAI): Familiarity with RAI principles — fairness, bias detection, explainability, and safety — and ability to operationalize RAI signal capture within production observability pipelines.
• Agentic Marketplace & Registry: Experience or strong familiarity with agent marketplace architectures, capability registries, and platform governance — ideally with observability or monitoring responsibilities for marketplace-registered components.

Preferred / Differentiating Technical Skills

• Published contributions or hands-on experience with emerging agent frameworks (LangGraph, AutoGen, CrewAI, Semantic Kernel, Bedrock Agents, or equivalent).
• Experience with Grafana, Datadog, New Relic, Dynatrace, or equivalent enterprise observability platforms — ideally extended to support AI/LLM workloads.
• Familiarity with vector databases (Pinecone, Weaviate, pgvector) and semantic search observability patterns relevant to RAG pipelines.
• Background in MLOps, LLMOps, or model lifecycle management — including model versioning, drift detection, and deployment governance.
• Experience designing observability APIs and SDK hooks for developer self-service onboarding.
• Differentiating Competencies Required - Translates enterprise AI strategy into observability architecture that simultaneously enables governance, safety, quality, and scale — holding the full picture across deeply technical and business dimensions.
• Safety-First Engineering Mindset - Instinctively designs systems with security, adversarial resilience, and RAI compliance as first-class requirements — not retrofitted features. Leads red team exercises with intellectual rigor and operational discipline.
• Outcome & Quality Orientation - Drives measurable impact: reduced MTTR, audit readiness, SLA adherence, agent quality scores, and RL harness convergence — translating telemetry data into business-relevant results.
• Cross-Functional Influencing - Navigates complex organizational dynamics — aligning engineering, governance, security, data science, and business units around shared observability standards and practices.
• Governance by Design - Integrates RAI, compliance, and security controls into design decisions from inception — producing systems that are audit-ready by default, not by remediation
• Technical Leadership Presence - Commands credibility in both executive and deep-technical forums; able to shift fluidly between C-suite communication and whiteboard architecture sessions with engineers.
• Adaptability & Continuous Learning - Thrives in a rapidly evolving AI landscape; quickly absorbs and operationalizes new frameworks, protocols, and research — from emerging agent communication standards to novel RL paradigms.
• Python Engineering Excellence - Holds a high bar for Python code quality, software craftsmanship, testing discipline, and developer experience — modeling best practices for the engineering team.

Our Company will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Credit Reporting Act, and all other applicable laws, including but not limited to, San Francisco Police Code Sections , commonly referred to as the San Francisco Fair Chance Ordinance; and Chapter XVII, Article 9 of the Los Angeles Municipal Code, commonly referred to as the Fair Chance Initiative for Hiring Ordinance.All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.PepsiCo is an Equal Opportunity Employer: Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity / AgeIf you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law & EEO is the Law Supplement documents. View PepsiCo EEO Policy .Please view our Pay Transparency Statement .

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The Architecture Group Manager is accountable for management of complex/critical/large professional disciplinary areas. Leads and directs a team of professionals. Requires a comprehensive understanding of multiple areas within a function and how they interact in order to achieve the objectives of the function. Applies in-depth understanding of the business impact of technical contributions. Strong commercial awareness is a necessity. Generally accountable for delivery of a full range of services to one or more businesses/ geographic regions. Excellent communication skills required in order to negotiate internally, often at a senior level. Some external communication may be necessary. Accountable for the end results of an area. Exercises control over resources, policy formulation and planning. Primarily affects a sub‑function. Involved in short- to medium‑term planning of actions and resources for own area. Full management responsibility of a team or multiple teams, including management of people, budget and planning, to include performance evaluation, compensation, hiring, disciplinary actions and terminations and budget approval.

Responsibilities

• Strategic Leadership: Stay abreast of emerging trends in enterprise data architecture and data engineering. Identify opportunities to leverage these technologies to address business challenges within the banking industry. Contribute to the development and execution of Citigroup’s overall data strategy.
• Data Architecture and Engineering: Design and implement state‑of‑the‑art data flows, including cloud migration strategies, big data deployment plans, integrations, and supporting infrastructure. Analyze and optimize data storage, governance, and organizational needs across various business units. Develop and maintain a robust and scalable data architecture that supports Citigroup’s current and future needs.
• Technical Expertise: Strong experience defining and executing cloud‑first data architecture strategies across public and private cloud environments. Hands‑on expertise with modern data platforms (data warehouses, lakes, lakehouse architectures) and familiarity with data fabric or data mesh patterns. Proven experience in API‑driven data architecture and governance, including standards, lifecycle management, security, and reusable data services. Working knowledge of AI‑ and analytics‑ready data architectures, enabling ML, advanced analytics, and real‑time data use cases. Experience with distributed data processing technologies such as Spark, Presto/Trino, and Hadoop ecosystems.
• Team Management and Collaboration: Effectively lead and manage a geographically dispersed team of data architects and engineers. Collaborate with senior management, business stakeholders, and technical teams to gather requirements, present solutions, and drive consensus. Foster a culture of innovation, collaboration, and continuous improvement within the team.
• Communication and Influence: Possess exceptional communication and presentation skills, with the ability to articulate complex technical concepts to both technical and non‑technical audiences. Effectively communicate and present design reports to senior management and C‑level executives. Influence decision‑making and drive alignment across different stakeholders through strong diplomacy and negotiation skills.
• Risk Management and Compliance: Demonstrate a strong understanding of risk management principles and ensure compliance with relevant laws, regulations, and internal policies. Proactively identify and mitigate potential risks associated with data architecture and management.

Qualifications

• Minimum of 15 years of experience in data architecture, data engineering, or related field.
• Prior experience as Data Engineer, Data Manager, or Data Scientist is highly preferred.
• Strong understanding of data governance policies and procedures.
• Proven ability to manage complex projects and deliver results in fast‑paced environments.

Key Skills

• Strong communication, diplomacy, and stakeholder management skills.
• Excellent visual presentation and articulation skills.
• Deep understanding of data warehousing, data lakes, and data lakehouse architectures.
• Experience with data governance, data quality, and data security best practices.
• Strong analytical and problem‑solving skills.
• Working knowledge of Public Cloud ecosystem (preferably AWS or GCP).
• Hands‑on experience with Snowflake or Databricks.
• Prior experience with messaging queues like Kafka/Raven. ETL experience a plus.

Education

Bachelor’s/University degree or equivalent experience, potentially Masters degree.

This job description provides a high‑level review of the types of work performed. Other job‑related duties may be assigned as required.

Location & Compensation

Primary Location: Irving, Texas, United States

Salary Range: $156,160.00 - $234,240.00

In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays.

Equal Opportunity Employer

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

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Lead design, growth, revenue, profitability, staff management, and client relationships for the local market
Oversee finances, business development, operations, and team member management
Ensure all client and consultant proposals and contracts are in place
Review and sign off on project budget reports before contract execution
Maintain organizational charts and review office forecasts, financials, and staffing needs with the Region's operations manager
Ensure positive team culture, morale, and general wellbeing
Review monthly project revenue projections and provide weekly updates
Prepare monthly business reports and participate in monthly meetings
Develop client relationships and increase market share and won work
Attend business development and networking functions
Track business development activity using the Ware Malcomb CRM system
Review group workload and attend scheduling meetings
Proactively manage project liability issues
Maintain regular team meetings and communication
Collaborate with Talent Acquisition to recruit new team members

Requirements

• 10+ years of experience within the field of interior design
• Prior experience leading a team or studio
• Proposals experience
• Experience developing and maintaining client relationships in the local market
• Bachelor's Degree in Interior Design or Architecture
• Ability to lead and foster a team environment
• Registered Interior Designer, Licensed Architect, or NCIDQ Certification strongly preferred

Core Competencies

Demonstrates extensive experience in leading teams within the interior design field, focusing on client relationship management, business development, and financial oversight. Proficient in developing proposals and maintaining a positive team culture while driving revenue growth and market share.

Highest-signal resume keywords

• 10+ Years Experience In Interior Design
• Team Leadership
• Client Relationship Development
• Proposals Experience
• Bachelor's Degree In Interior Design Or Architecture

ATS Optimization Keywords

Soft Skills

• Team Environment Leadership
• Positive Team Culture Management

Certifications & Qualifications

• Registered Interior Designer
• Licensed Architect
• NCIDQ Certification

Industry Keywords

• Business Development
• Project Budget Management
• Client Proposals
• Market Share Growth
• Staff Management

Tools & Technologies

• Ware Malcomb CRM System

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As a Product Architecture Engineer for DRAM, you will play a key role in defining how Micron memory technologies enable AI training and inference platforms. This role blends deep technical exploration with industry engagement and internal collaboration. You will help translate system-level challenges into differentiated DRAM solutions while influencing both customer designs and Micron’s product roadmap.

Responsibilities

• Explore and evaluate system architectures using modeling, simulation, and prototyping tools
• Engage customers and partners to identify system bottlenecks and future memory innovations
• Pathfind AI-focused architectures using LPDDR and DDR DRAM technologies
• Define and explore DRAM features that increase value in AI and high-performance systems
• Mentor and coach junior architects and engineers

Minimum Qualifications

• Bachelor’s degree in Electrical Engineering or equivalent practical experience
• 10+ years of experience in product engineering or product architecture
• Familiarity with DRAM architectures, including LPDDR and/or DDR technologies
• Understanding of memory hierarchy, memory controllers, and PHY fundamentals
• Strong communication skills and ability to work independently and collaboratively

Preferred Qualifications

• Experience with memory subsystems in high-performance or AI/ML computing platforms
• Exposure to JEDEC or memory specification development processes
• Experience influencing system-level design decisions with customers or ecosystem partners
• Demonstrated technical leadership or mentoring experience

Benefits

Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time‑off program and paid holidays.

Equal Opportunity Statement

Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.

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Job Description: Senior Technical Manager

Overview

We are seeking a highly capable, hands-on Technical Leader who can operate as both an onsite technical lead and a seasoned full-stack engineer. The ideal candidate is an expert in modern JavaScript/TypeScript-based architectures with strong proficiency in React on the front end and NestJS and/or Python on the back end. This individual must demonstrate strong communication skills, high technical ownership, and the ability to guide engineering teams in delivering scalable, high-quality software solutions.

Experience in media, content, marketing intelligence, audience engagement, or similar ecosystems (e.g., organizations comparable to BrightTalk, Informa, TechTarget, BrightEdge) is advantageous but not required.

Key Responsibilities

Technical Leadership

• Serve as the onsite technical lead, providing architectural guidance, technical oversight, and hands-on development support across multiple workstreams.
• Define and uphold engineering best practices, coding standards, and design patterns for full-stack development.
• Lead solution design sessions; translate business requirements into scalable technical architectures and implementation plans.
• Drive technical decision-making related to system design, frameworks, security, integrations, data flows, and cloud infrastructure.
• Collaborate closely with Product, Design, Data, DevOps, and QA teams to ensure delivery quality and cross-functional alignment.

Team Management and Mentorship

• Manage, mentor, and elevate engineers of varying levels, fostering a culture of continuous learning and accountability.
• Provide structured technical coaching, code reviews, and career development guidance.
• Facilitate transparent communication across distributed teams, ensuring clarity of scope, delivery expectations, and technical direction.

Full-Stack Engineering

• Contribute directly to codebases, particularly in areas of complex feature development, architectural frameworks, and performance optimization.
• Develop and maintain scalable front-end applications using React, TypeScript, state management frameworks, and modern component architectures.
• Build and maintain back-end services and APIs in NestJS and Python, including microservices, asynchronous processing, and service orchestration.
• Ensure system resiliency, security, and performance through rigorous engineering standards.

Delivery and Execution

• Lead technical planning and estimation during roadmap and sprint planning cycles.
• Identify and mitigate technical risks, dependencies, and architectural constraints.
• Establish metrics and observability practices to monitor system health and performance.
• Partner with project and product leadership to ensure predictable, high-quality delivery.

Required Qualifications

• 10+ years of professional software engineering experience with 4+ years in a senior technical leadership capacity.
• Proven expertise in React, TypeScript, modular UI architectures, and modern front-end tooling.
• Proven expertise in NestJS, Node.js, or Python back-end frameworks.
• Strong understanding of relational and non-relational databases, caching strategies, and data modeling.
• Hands-on experience with cloud platforms (AWS, Azure, or GCP), CI/CD pipelines, and containerization.
• Demonstrated success leading engineering teams or technical initiatives in mid-size or enterprise environments.
• Excellent communication skills with the ability to translate complex technical concepts to diverse stakeholders.
• Strong problem-solving skills, ownership mindset, and a collaborative working style.

Preferred Qualifications

• Experience in MediaTech, Content Marketing, Audience Intelligence, Digital Publishing, or related industries. (Optional)
• Familiarity with systems supporting content delivery, personalization, SEO, analytics, or audience engagement workflows.
• Exposure to data engineering, ML-driven recommendations, or search technologies.
• Prior experience modernizing legacy systems or leading large-scale platform transformations.

What We Offer

• The opportunity to shape technical direction and drive engineering excellence within a high-impact environment.
• A role that combines leadership, architecture, and deep hands-on engineering.
• Collaborative cross-functional culture with strong executive support for technical innovation.
• Competitive compensation, benefits, and opportunities for career advancement.

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A leading technology firm based in California is looking for a skilled UI developer to create user-facing features using React.js. The ideal candidate will excel in building reusable components and enhancing the performance of consumer web applications. Responsibilities also include integrating with APIs and ensuring a fantastic UI/UX across applications. If you have a passion for frontend development, we want to hear from you!
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Darwin Recruitment is seeking a Senior Autonomous Aviation Software Architect in Florida (remote) to own the software architecture for its autonomous C-UAS platform, guiding onboard computer and Ground Control Station development. You will code in C++ and Python, integrate AI/ML perception, sensor fusion, flight-control and navigation, and work closely with hardware, AI/ML and systems engineers.

Expect travel to flight-test events (~25%), and contribute technical leadership across GCS and

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At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

Modern data analysis employs sophisticated methods such as machine learning that go well beyond the roll-up and drill-down capabilities of traditional SQL query engines. As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science.

Below are some example projects:

Apache Spark : Develop the de facto open source standard framework for big data.

Data Plane Storage : Provide reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store.

Delta Lake : A storage management system that combines the scale and cost-efficiency of data lakes, the performance and reliability of a data warehouse, and the low latency of streaming. Its higher level abstractions and guarantees, including ACID transactions and time travel, drastically simplify the complexity of real-world data engineering architecture.

Delta Pipelines : It's difficult to manage even a single data engineering pipeline. The goal of the Delta Pipelines project is to make it simple and possible to orchestrate and operate tens of thousands of data pipelines. It provides a higher level abstraction for expressing data pipelines and enables customers to deploy, test & upgrade pipelines and eliminate operational burdens for managing and building high quality data pipelines.

Performance Engineering : Build the next generation query optimizer and execution engine that's fast, tuning free, scalable, and robust.

What we look for:

• BS (or higher) in Computer Science, related technical field or equivalent practical experience.
• Comfortable working towards a multi-year vision with incremental deliverables.
• Motivated by delivering customer value and impact.
• 5+ years of production level experience in either Java, Scala or C++.
• Strong foundation in algorithms and data structures and their real-world use cases.
• Experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop).

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here .

Local Pay Range

$166,000 — $225,000 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook .
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit .

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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Kobie, a remote-first loyalty technology leader, is seeking a Manager of Software Engineering to guide multiple Agile squads in building scalable platform capabilities. You will partner with Product Owners, Architects, and QA to translate business needs into robust technical solutions, mentoring engineers and driving modern distributed systems.

You will lead end-to-end delivery, champion best practices, and ensure high-quality releases while fostering a collaborative culture across

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Echodyne is seeking a Principal DevOps Engineer to lead secure development and deployment practices across our software and hardware-in-the-loop stack. This is a high-impact, hands-on role where you will own the DevOps space and our stack for managing the CI/CD pipeline and help define SecOps strategy working with our VP of Cybersecurity.

This role will design secure pipelines, migrate legacy infrastructure from on-prem to cloud platforms, and ensure compliance with defense and commercial

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A technology consulting firm is seeking an experienced Technical Architect with 15+ years of IT experience and expertise in Azure and SAP RISE integration. The ideal candidate will also have proficiency in Spanish to engage with global stakeholders. Responsibilities include guiding best practices for Azure-SAP integration and providing architectural recommendations. Strong communication and presentation skills are essential, along with technical qualifications in security and compliance design.
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Kobie is seeking a Manager of Software Engineering to lead Agile squads, translate business requirements into scalable software solutions, and drive end‑to‑end delivery. You will mentor engineers, shape modern distributed systems, and champion best practices across CI/CD, testing, and collaboration with cross‑functional teams.

Join a remote‑first organization with a flexible work environment, travel as needed, and a focus on growth, development, and personal well-being.

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General Motors Financial Company, Inc. is seeking a Senior Vice President, Global Chief IT Architecture to lead enterprise technology architecture in Arlington, Texas. This influential role focuses on driving AI-enabled innovation and modern architecture strategies across global markets.

The successful candidate will align technology initiatives with corporate objectives, establish standards, and enhance application governance to support growth and resilience within the organization.

Join GM Financial to make a global impact via technological transformation!

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A leading architecture and engineering firm in Honolulu, HI seeks a Principal Architectural Lead to manage complex projects and enhance client relationships. This senior role requires 15+ years in the AEC industry and an architectural or engineering degree. Candidates should possess strong business development skills, leadership capabilities, and knowledge of federal codes. Join the firm to advance its operations in the Indo-Pacific region while collaborating with multiple teams across North America. Competitive salary of $132,000 to $198,000 annually is offered.
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If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Sr Manager, Software Engineering

FullTime Senior Management Dallas, TX, US

30+ days ago Requisition ID: 1989

Salary Range: $155,000.00 To $175,000.00 Annually

POSITION SUMMARY

The Sr. Manager, Software Engineering will provide hands-on technical and architectural leadership spanningproduct, platform, and integration initiatives. This role requires a tactful, action-oriented leader whostays deeply involved in architecture and day-to-day engineering execution—driving delivery through Agile methodologies—while coaching and mentoring engineersandbuilding a high-performing team aligned with EG4’s mission.

The ideal candidateis a hands-on architect and engineer, proficient in Angular, React, Java, Python, and AWS cloud services, with strong full-stack application development experience and a proven track record of leading Agile teams. Experience with VPPs, solar market operations, third-party API integrations, and firmware collaboration for safety and UL compliance is strongly preferred.

CORE RESPONSIBILITIES

• Designandexecutethe software engineering strategyin alignmentwith EG4’s product and business goals, ensuring scalability, security, and maintainability.
• Lead, coach, and mentor a team of engineers, fostering a culture of ownership, accountability, and continuous improvement.
• Manage 5-6 concurrent projects using Agile methodologies (Scrum/Kanban)—including sprint planning,backlog grooming, and iterative releases—providing tactfulleadership to remove roadblocks, gain cross-functional alignment, and ensuretimelydelivery.
• Directly accountable toarchitect, design, and hands-on develop full-stack applications (Angular, React, Java, Python) supporting EG4’s monitoring platforms, EMS, and customer-facing solutions.
• Lead and hands-on contribute to cloudarchitecture anddevelopment on AWS, implementing best practices for CI/CD, infrastructure-as-code, and scalable, cost-efficientdeployments.
• Drive API development and third-party integrations, supporting VPP participation, utility interfaces, and TPO (Third-Party Ownership) models.
• Collaborate with firmware engineering teams to align software development with device-level firmware logic, safety, and UL/IEEE compliance requirements.
• Establish andmaintainengineering bestpractices, including code reviews, testing, and documentation standards.
• Work closely with product management, hardware, and compliance teams to plan, build, and launch new products supporting EG4’s roadmap.
• Guide the implementation of monitoring, analytics, and observability frameworks for deployed applications and services.
• Stay informed on industry trends and compliance standards (UL1741, UL1973, Sunspec and IEEE 2030.5) and proactively align the software roadmap to evolving requirements.

QUALIFICATIONS

Required Experience:

• Bachelor’s or Master’s degree in Computer Science , Electrical Engineering, or a related technical field.
• 8+ years of hands-on software engineering experience with at least 2-3 years leading or mentoring engineering teams.
• Proven hands-on coding and architectural experience in:
• Front-end: Angular, React;Back-end: Java, Python;Cloud: AWS(deep, hands-on), CI/CD, container orchestration.
• Experience with full-stack application development and deployment in production environments.
• Knowledge of solar and energy storage systems, VPP frameworks, and utility program integration.
• Experience with third-party API integrations.
• Familiarity withsolarcompliance standards and applying them in product development.
• Strong leadership and coaching skills, witha track recordof developing engineering talent.
• Demonstrated experience leading Agile teams (Scrum/Kanban) and managing 5-6 concurrent projects from planning through delivery.
• Excellent communication and the ability to work tactfully across teams to align priorities and deliver results.

Preferred Background:

• Experience in the solar and renewable energy sector.
• Familiarity with firmware development and hardware/software integration.
• Understanding ofTPO business models and grid-interactive energy systems.
• Experience implementing monitoring, observability, and edge device communication protocols.

Physical Requirements

This position may require the ability to perform tasks that involve sitting, standing, walking, lifting 25+ lbs , computer work, and other physical activities. Candidates should be able to meet these physical demands with or without reasonable accommodations.

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Job Description

As an Oracle SCM Cloud Manager, you are responsible for leading projects and teams, implementing multiple Cloud Supply Chain and Manufacturing modules. The ideal candidate should collaborate with our Clients to understand their business requirements, design solutions and support the implementation process to facilitate successful project delivery. In this position, you’ll be collaborating with our talented and dynamic group of consultants and getting a glimpse of our company’s culture of being a dependable advisor to our Clients. You’ll have the chance to bring in innovative concepts and ideas while utilizing our well established processes and best practices. In addition, this role will involve close coordination with project and support colleagues located in India.

Responsibilities

• Review, analyze, and evaluate business systems and user needs.
• Determine requirements by interviewing client personnel, reviewing documentation, and facilitating working sessions.
• Recommends, develops, and executes plans for additional software module implementations based on business requirements.
• Prepare design documentation and work with application delivery resources as necessary to support business requirements.
• Prepare and present updates on projects to executive management.
• Work with clients to develop testing scenarios and test scripts and work with various teams (in an offshore-onsite model) to handle the integration and acceptance testing.
• Create business process models based on the requirements.
• Adept at mapping industry trends and best practices to the client’s unique requirements and processes to determine applicable fit.
• Use Oracle applications functionality, tools, templates, and method to set up the system to meet the desired business process and requirements.
• Engage with business stakeholders to understand data improvement and focus areas of business for Information Management.

Mandatory Skills

• At least 15+ years of Implementation / Support experience in implementing Oracle ERP Applications.
• At least 4 Oracle Cloud SCM/MFG implementations, working as Lead functional consultant.
• Have strong business communication and customer management skills.
• Ability to interact at all levels of clients’ organizations.
• Ability to work and manage multiple projects at the same time and to contribute to Practice improvements.
• Strong Functional Knowledge of Oracle’s ERP & SCM Cloud modules, including:
  • Order Management
  • Shipping Execution
  • Advanced Pricing
  • Purchasing
  • Inventory
  • Bill of Material
  • Procurement
  • Costing or Quality Cost Planning
  • Central Advanced Supply Chain Planning
  • Global Order Promising Production Scheduling
  • Sales & Operation Planning
  • Discrete Manufacturing suite WMS
  • MSCA Business Intelligence EDI

Academic Qualifications

Bachelor’s degree or the equivalent combination of education plus relevant experience.

Compensation

• The total compensation for this position for fulltime employment will be in the range of $160,000 to $200,000.

Other Benefits

• Medical, Dental, and Vision insurance, Short-term and Long-term disability insurance, Life insurance, and AD&D
• Health care and dependent care Flexible Spending Accounts (FSA), Health Spending Account (HSA)

Infovity Inc. is an Equal Opportunity Employer.

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