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Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity The Application Support Engineer serves as a Tier 2 (L2) technical support resource within the Association's Production Management organization. This role is responsible for monitoring, troubleshooting, incident resolution, service restoration, and operational support for critical business applications and services across the enterprise technology landscape. Working closely with the Availability Command Center (ACC), Tier 1 Operations, Application Engineering teams, Infrastructure teams, and external vendors, this position provides technical expertise for application incidents, operational issues, and service stability initiatives. The engineer investigates and resolves application performance issues, system alerts, batch processing failures, integration problems, middleware issues, and production incidents impacting business operations. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position is based in San Antonio, TX. Relocation assistance is not available for this position. What You'll Do: Design, develop, test, and implement technical solutions that support business objectives. Write, maintain, and enhance code to deliver new features, system improvements, and ongoing product enhancements. Troubleshoot, and resolve technical issues and production incidents to ensure system reliability and performance. Analyze systems and processes to identify opportunities for improvement and drive operational efficiency. Define technical specifications, standards, and requirements that support scalable and sustainable applications Follow established Software Development Lifecycle (SDLC) practices, including requirements gathering, development, testing, deployment, and maintenance. Ensure risks associated with business activities are appropriately identified, assessed, monitored, and managed in accordance with organizational risk and compliance standards. What You Have: Bachelor's degree; OR 4 years of relevant education and/or experience. Basic Understanding of one or more of the following: Java, Swift, Objective-C, JavaScript, Kotlin, C++, HTML, CSS, SQL, Go, and Python, Mainframe technologies including COBOL, JCL, CICS, DB2, IMS, MQ, and z/OS.+ Experience with enterprise monitoring and observability tools such as Splunk, Dynatrace, Datadog, New Relic, Grafana, AppDynamics, Azure Monitor, or similar platforms. Ability to analyze logs, traces, metrics, and application performance data to identify service degradation and outage conditions. Familiarity with Kubernetes, OpenShift, Docker containers, and microservice-based applications. Understanding of API-driven architectures and integration technologies. Experience with ServiceNow, Jira, Confluence, or similar operational platforms. Understanding of Incident, Problem, Change, Event, and Knowledge Management processes. What Sets You Apart: 2+ years of experience supporting enterprise applications, infrastructure, cloud platforms, or production environments, including troubleshooting across multiple technology domains. Experience in an Enterprise Availability Command Center (ACC), Production Operations, Site Reliability Engineering (SRE), or comparable service restoration environment, with direct involvement in high-severity incident response and recovery activities. Strong analytical and problem-solving skills, with the ability to correlate monitoring, logging, and operational data to diagnose issues and restore critical business services. Working knowledge of observability, automation, service resiliency, SRE principles, and operational process improvement. Experience working within Incident Management processes and operational support procedures, with the ability to coordinate technical teams and communicate effectively during service disruptions. Experience supporting highly regulated industries such as financial services, insurance, or healthcare; ITIL Foundation certification and Azure or AWS certifications preferred. US military experience gained through military service or gained as a military spouse / domestic partner Compensation range: The salary range for this position is: $ 77,120.00 - $ 147,390.00 . USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Candidates must be authorized to work in the United States without the need for current or future visa sponsorship. This position is for full-time, onsite employment at the Family Dollar Chesapeake, VA Store Support Center. We handle relocation for anyone interested outside of the Hampton Roads, VA area General Summary: The AI Lead Developer is a hands-on "builder" role, and a senior technical staff engineer who can lead a team of developers and can also builds new AI applications and software including agentic AI applications, analytical solutions and pilot new ideas from incubation to deployment. This role is a critical part of Family Dollar's capability to build our own AI applications inhouse using top of line agent development kits, APIs, software libraries and interface with our vendors and partners to trial their products for fit within Family Dollar's IT estate, including our cloud environments, digital applications, and our operational systems. This position is fully onsite. Principal Duties & Responsibilities: Translate business requirements into target AI solutions that can be delivered fast and iteratively on Google Cloud Platform. Develop agentic AI applications using modern agent development kits and frameworks (e.g., Google Agent Development Kit, Gemini Agent Platform, LangGraph, etc), including multi-agent workflows, tool integration, and human-in-the-loop checkpoints. Build and operate retrieval-augmented generation (RAG) solutions that ground LLMs in Family Dollar's enterprise data, including ingestion, embeddings and vectors. Deploy and maintain production-grade AI agents capable of reasoning, tool-use, and multi-step task execution. Establish and maintain MLOps and CI/CD pipelines for AI workloads, including model and prompt versioning, evaluation harnesses, monitoring, cost controls, and rollback procedures. Implement enterprise-grade guardrails for AI applications, prompt-injection defense, PII handling, content safety, role-based access controls, and audit logging; partnering with platform, security, infrastructure, and business stakeholders to meet Family Dollar's standards for identity, networking, data residency, and compliance. Define how AI applications integrate into Family Dollar's existing IT estate. Set integration patterns, APIs, and data contracts across identity, networking, data, and retail systems (POS, ERP, CRM, inventory, supply chain), partnering with the teams that own those systems. Own technical quality across the team's AI work - set and uphold engineering standards, review code, and keep technical debt low so solutions stay maintainable and easy to operate Partner with IT support to transition support gradually through SOPs, runbooks, dashboards, on-call coverage, and alerting, and escalation point after handover. Lead and mentor the engineering team, sharing knowledge and setting technical standards across the AI and Automation team. On call coverage (technical support) as needed. Performs other duties as assigned. Position Requirements: Fully onsite office work environment Minimum Requirements: Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (Master's preferred). 5+ years of progressive IT experience in large, cross-functional teams or projects, preferably in a retail environment. 2+ years developing AI solutions in a leading role Write clean, well-tested, well-documented code; conduct code reviews; and contribute to internal libraries, templates, and engineering best practices. Sense of urgency and the ability to drive a delivery team toward results in a dynamic environment. Ability in developing, presenting and communicating technical concepts to varying audiences Experience in retail, supply chain, or large-scale operational environments within retail systems (POS, ERP, CRM, inventory, supply chain, etc). Advanced knowledge of recent GenAI platform advancements. Experience in Google Cloud Platform, generative AI, LLMs, and agentic frameworks "Projected Salary Range: $132,000 to 160,000". 20% annual bonus opportunity plus other incentives Family Dollar is an equal opportunity employer and committed to recruiting, hiring, training, and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We are committed to complying with the Americans with Disabilities Act (ADA) and providing reasonable accommodations to qualified individuals with disabilities. Full time 510 Volvo Parkway,Chesapeake,Virginia 23320 IT Development Family Dollar

Candidates must be authorized to work in the United States without the need for current or future visa sponsorship. " This position is for full-time, onsite employment at the Family Dollar Chesapeake, VA Store Support Center. " General Summary: The Manager of Vendor Governance, FinOps, Asset Management & Contract Management serves as the centralized control-plane governance function within Family Dollar's Infrastructure Engineering organization. This is a unique, high-trust role designed with intentional independence - operating without dedicated direct reports to preserve separation of duties, eliminate conflicts of interest, and ensure objective oversight across all infrastructure engineering teams and BPO partners. This role provides the VP of Infrastructure Engineering & Operations with an independent, consolidated view of vendor performance, technology spend, asset health, and contractual obligations across all domains: Hybrid Cloud, Network Engineering, Automation, and Retail/Edge environments. It is the single source of truth for governance intelligence across a multi million infrastructure portfolio spanning 7,400+ stores, 9 distribution centers, 2 data centers, and 3 public cloud platforms. This is not an operational role. It is a governance, intelligence, and accountability function - one that provides executive-level visibility and keeps the infrastructure organization disciplined, cost-effective, and contractually sound. Principal Duties & Responsibilities: Vendor Governance & Performance Management Own the vendor governance framework for all infrastructure technology vendors and service providers Track and report on vendor SLA/KPI compliance across BPO, telecom, hardware, software, and cloud vendors Lead vendor performance reviews (QBRs, MBRs) and escalate performance gaps to the VP and relevant directors Maintain a vendor risk register and flag concentration risks, single-vendor dependencies, and end-of-life exposures Evaluate vendor roadmaps and alignment with Family Dollar's technology strategy Serve as an independent governance bridge between engineering teams and BPO partners - not embedded in either FinOps & Cost Optimization (Cloud + On-Premises) Lead FinOps practice across Azure, GCP, OCI, and on-premises infrastructure Own cost visibility dashboards, chargeback/showback models, and monthly spend reporting for the VP Identify and drive cost optimization opportunities: reserved instances, rightsizing, idle resource elimination, and license rationalization Define and enforce cloud cost governance policies in partnership with engineering teams Monitor cloud spend anomalies and alert leadership to budget variances in real time Maintain multi-year infrastructure cost forecasts and support annual budgeting cycles Partner with Finance to align infrastructure spend to business unit cost allocations Asset Management & Lifecycle Governance Own the end-to-end IT asset lifecycle governance process: procurement, deployment, tracking, and decommission Ensure CMDB accuracy and completeness as the authoritative system of record for all infrastructure assets Maintain hardware refresh schedules and lifecycle dashboards across stores, DCs, data centers, and cloud Partner with engineering teams to identify EoL/EoS risks and drive proactive refresh planning Govern software license entitlements and utilization to prevent compliance exposure Validate BPO asset inventory reporting and reconcile against procurement records Track and report on asset financial depreciation schedules in partnership with Finance Contract Management & Procurement Governance Own and manage all infrastructure technology contracts: renewal calendars, terms, SLAs, and obligations Lead contract renewals, amendments, and renegotiations in partnership with Legal, Procurement, and Finance Maintain a centralized contract repository with renewal triggers, expiration tracking, and risk flags Evaluate vendor proposals and new contracts to ensure alignment with technical and financial requirements Identify contract optimization opportunities: consolidation, renegotiation, and elimination of redundant agreements Enforce contract SLA commitments and hold vendors accountable through structured performance reviews Support RFP / RFI processes for infrastructure technology procurements Executive Reporting & Governance Intelligence Produce monthly and quarterly infrastructure governance dashboards for the VP, covering: vendor health, cost posture, asset lifecycle status, and contract obligations Maintain a unified governance scorecard across all infrastructure domains Prepare executive briefings, board-level summaries, and business case materials as needed Identify and escalate emerging governance risks: compliance gaps, cost overruns, vendor failures, and contractual exposure Develop and maintain governance policies, standards, and procedures for vendor, asset, and contract management BPO Oversight & Accountability Independently validate BPO performance against contracted SLAs and KPIs - separate from engineering directors Audit BPO invoices against contracted rates and service delivery Maintain a BPO performance scorecard and present findings to the VP on a regular cadence Identify BPO delivery gaps and work with the VP to initiate corrective action plans Track BPO-driven cost savings and efficiency commitments against actuals Security & Compliance Governance Support Maintain a mapping of infrastructure assets and vendors to regulatory and compliance frameworks (PCI-DSS, SOX) Track patch compliance and remediation SLAs across managed infrastructure domains Support audit readiness by maintaining governance documentation, contract evidence, and asset records Flag vendor or asset lifecycle risks that create compliance exposure Position Requirements Technical Knowledge Solid understanding of cloud platforms (Azure, GCP, OCI) and hybrid cloud cost structures Familiarity with enterprise infrastructure domains: networking, compute, storage, backup, and cloud Working knowledge of CMDB tooling (ServiceNow or equivalent) and asset lifecycle processes Understanding of software licensing models (perpetual, subscription, consumption-based) Proficiency with FinOps tooling and cloud cost management platforms (e.g., Apptio, CloudHealth, native cloud billing) Governance & Commercial Skills Proven expertise in contract lifecycle management: negotiation, renewal, compliance enforcement Experience building and executing vendor governance frameworks including SLA tracking and QBRs FinOps practitioner experience: chargeback, showback, reserved instance strategy, rightsizing Ability to develop executive-ready dashboards, governance reports, and financial models Strong analytical skills - able to synthesize complex data into actionable insights Familiarity with IT procurement and sourcing best practices Minimum Requirements: Education & Experience Bachelor's degree in Business, Information Technology, Finance, or a related field 8+ years of experience in IT governance, vendor management, FinOps, or IT asset management - within a large enterprise environment 3+ years in a role with direct accountability for technology contracts, vendor performance, or infrastructure cost management Experience operating in a multi-vendor, BPO-partnered IT delivery model Exposure to large-scale retail or distributed enterprise environments strongly preferred Preferred Qualifications: FinOps Certified Practitioner (FinOps Foundation) ITIL v4 Certification - Asset Management or Service Management tracks Certified Technology Procurement Professional (CTPP) or equivalent IAITAM Certified Asset Manager (ICAMP or CHAMP) Experience with ServiceNow ITAM/SAM, Flexera, or Snow Software Prior experience at a large-format retailer (Dollar General, Walmart, Target, etc.) Exposure to TSA (Transition Service Agreement) governance environments "Projected Salary Range: $120,000 - $135,000". Family Dollar is an equal opportunity employer and committed to recruiting, hiring, training, and promoting qualified people of all backgrounds, and makes all employment decisions without regard to any protected status. We are committed to complying with the Americans with Disabilities Act (ADA) and providing reasonable accommodations to qualified individuals with disabilities. Full time 510 Volvo Parkway,Chesapeake,Virginia 23320 IT Security Family Dollar

Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Senior technology leader to provide enterprise-wide direction and operational leadership for the company's internal information technology function while also contributing technical expertise to selected customer opportunities and engagements. This role is accountable for the strategy, security, reliability, scalability, and business value of the technology environment supporting approximately 1,500 employees, including responsible adoption of artificial intelligence across the enterprise. The successful candidate will combine executive-level judgment with current technical credibility. The role will lead a team of approximately 16 IT professionals, translate business priorities into a practical technology roadmap, strengthen cybersecurity and operational discipline, and ensure that employees have secure, dependable, and effective technology services. Responsibilities include but are not limited to the duties listed below Enterprise Technology Strategy and Governance • Develop and execute an enterprise IT strategy and multi-year roadmap aligned with company growth, workforce needs, operational priorities, customer commitments, and risk tolerance. • Serve as the principal advisor to executive leadership on technology investment, architecture, cybersecurity risk, operational resilience, emerging capabilities, and technology enabled business improvement. • Establish clear governance, architecture standards, policies, decision rights, and lifecycle practices for infrastructure, cloud services, enterprise applications, data, end-user technology, and technology vendors. • Create a disciplined investment process that balances modernization, security, service quality, technical debt, scalability, and total cost of ownership. • Define meaningful service, risk, financial, and delivery metrics; communicate performance, priorities, tradeoffs, and emerging issues to senior leadership in business terms. Artificial Intelligence Strategy and Enterprise Adoption • Define and communicate a clear Credence vision for the role of artificial intelligence in the company's business, workforce, and operating model, giving leaders and employees a consistent message about priorities, opportunities, expectations, and responsible use. • Develop and execute an enterprise AI strategy and roadmap that embeds practical AI capabilities into core workflows, improves productivity and decision-making, and supports scalable growth. • Partner with business and functional leaders to identify high-value use cases, prioritize pilots and investments, redesign workflows, measure results, and scale successful solutions. • Establish AI governance and guardrails addressing security, privacy, data protection, legal and contractual compliance, acceptable use, human oversight, vendor selection, and risk. • Build organizational AI literacy and adoption through executive engagement, employee communication, training, change leadership, communities of practice, and accessible support. IT Operations, Infrastructure, and Service Delivery • Lead the internal IT organization and provide accountable oversight of service desk operations, endpoint services, identity and access, networks, collaboration platforms, cloud and hosting environments, enterprise applications, integrations, asset management, and related support services. • Ensure reliable and secure day-to-day operations through mature incident, problem, request, change, configuration, release, and knowledge-management practices. • Establish service expectations and operating measures that improve responsiveness, user experience, availability, capacity, and accountability across a geographically distributed workforce. • Guide modernization of legacy platforms and adoption of cloud, automation, infrastructure-as-code, monitoring, data, and AI-enabled capabilities when they provide clear business value and manageable risk. • Maintain effective business continuity, disaster recovery, backup, crisis response, and technology resilience capabilities; periodically test plans and close identified gaps. • Own IT financial planning, forecasting, procurement, software and license optimization, vendor performance, contract management, and the business cases for significant technology investments. Cybersecurity, Compliance, and Risk • Provide executive accountability for the protection of corporate systems, information, and technology assets in coordination with cybersecurity, compliance, legal, contracts, and business leadership. • Maintain a risk-based security program appropriate for a federal contractor, including identity governance, access control, vulnerability and patch management, security monitoring, incident response, third-party risk, data protection, and employee awareness. • Ensure internal technology practices support applicable federal cybersecurity frameworks, contractual requirements, audits, assessments, and customer security expectations. • Brief executives on material technology and cybersecurity risks, recommend mitigation priorities, and ensure corrective actions are owned, funded, tracked, and completed. Leadership and Organizational Development • Lead, coach, and develop a high-performing team of approximately 16 IT professionals; establish clear accountability, service ownership, succession plans, and development pathways. • Design the organization, staffing model, sourcing approach, and partner ecosystem needed to support current operations and future growth. • Build trusted relationships across business functions, listen closely to internal customers, and lead change with clear communication and practical adoption support. • Create a culture of service, security, documentation, continuous improvement, collaboration, and responsible innovation. Customer-Facing Technology Leadership • Serve as a senior technical advisor or delivery leader on selected customer engagements, particularly those involving enterprise IT modernization, cloud, cybersecurity, DevSecOps, data, AI, infrastructure, or managed services. • Support capture and proposal efforts by shaping technical approaches, reviewing solution architectures, contributing written content, participating in color-team reviews, and presenting in customer meetings or oral proposals. • Help translate customer missions and requirements into feasible, secure, and differentiated solutions that reflect delivery realities, compliance obligations, cost, schedule, and risk. • Provide technical oversight, independent reviews, issue resolution, or executive sponsorship for strategically important programs when requested. • Connect lessons, talent, tools, and reusable capabilities across corporate IT and customer delivery while maintaining appropriate boundaries between internal and customer environments. Requirements • Bachelor's degree in information technology, computer science, engineering, management information systems, or a related field are required; equivalent combinations of education and relevant experience may be considered. • Active federal security clearance, or eligibility and willingness to obtain one; a current Secret, Top Secret, or TS/SCI clearance is advantageous but not required. • Typically, 15 or more years of progressive technology experience, including at least 7 years leading technical teams, programs, or functions with increasing organizational scope and accountability are required. • Must have demonstrated ability to set enterprise technology strategy and to lead reliable day-to-day operations in a growing, geographically distributed organization. • Must have broad technical understanding across enterprise infrastructure, networks, cloud platforms, identity and access management, endpoint computing, enterprise applications, IT service management, cybersecurity, data protection, resilience, and systems integration. • Must have experience managing budgets, forecasts, vendors, contracts, licenses, staffing, and investment priorities, with the ability to connect technology decisions to business outcomes. • Must have experience communicating with executive leaders and presenting complex technical, financial, and risk matters clearly to nontechnical audiences. • Must have demonstrated success building and developing teams, establishing operating discipline, leading organizational change, and earning trust across functions. • Must have experience supporting customers in a consultative, solutioning, program leadership, or technical delivery capacity. Leadership Competencies • Enterprise perspective and business judgment • Strategic thinking paired with practical execution • Technical credibility and intellectual curiosity • Executive communication and influence • Customer and employee service orientation • Cybersecurity and risk ownership • Financial and vendor management discipline • Talent development, collaboration, and accountability • Calm, decisive leadership during incidents and periods of change Preferred Qualifications • Leadership experience within a federal government contractor, technology services firm, or similarly regulated and security-sensitive organization. • Experience supporting federal civilian, defense, intelligence . click apply for full job details

We're at an exciting juncture to redefine the future of EC2 networking for Cloud Computing in 2026. To achieve our ambitious goals, we're expanding our team and looking for talented engineers like you to be part of this journey. You will be part of a team that owns the software-defined networking (SDN) dataplane stack that powers EC2 networking across diverse applications such as Machine Learning, Cloud Gaming, Health, Fintech, and Video Streaming. Your work will impact millions of customers globally, delivering secure, scalable, and high-performance networking solutions at incredible scale. As a Sr. SDE on this team, you will own defining, implementing, and delivering performance and availability optimizations that power Machine Learning workloads across HPC and Accelerated Platforms in EC2 Nitro. We are seeking a Sr. Software Engineer with experience in Dataplane development, System Software/Embedded software, Cloud Computing, and Networking to join our team. This role will allow you to influence and impact multiple technology areas, providing an opportunity to innovate across a variety of platforms and systems. With the extensive network and access to Principal, Sr. Principal and Distinguished Engineers across EC2, AWS and Amazon, you are surrounded by talent that will provide you opportunities to grow your skills and knowledge. Key job responsibilities - Lead the end-to-end design, scoping, implementation, and integration testing of performance optimizations and dataplane features that run on the EC2 Nitro System that power Machine Learning workloads. - You set high standards for development processes, tools, and automation to enhance team productivity and quality. - Own the team architecture and define best engineering practices on design and coding. - You identify business problems and opportunities, and advocate for technical solutions that influences the technical roadmap for your team and partner teams. - Mentor junior engineers with scoping, design, and developing scalable and maintainable code. - Collaborate with Principal Engineers, Product Managers, Sr TPMs, and cross-functional teams to define requirements, system architectures, and implement robust and scalable solutions. BASIC QUALIFICATIONS - Bachelor's degree in computer science or equivalent - 7+ years of non-internship professional software development experience - 7+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 7+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Experience as a mentor, tech lead or leading an engineering team - Experience in embedded development in C/C++ - Knowledge of system performance, memory management, and parallel computing principles PREFERRED QUALIFICATIONS - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution - Knowledge of machine learning model architecture and inference - Experience developing low-level systems software, networking dataplane, or performance-critical services Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 168 400.00 USD annually

Fast Growing Renewables Company This Jobot Job is hosted by: Milan Kacar Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $175,000 - $210,000 per year A bit about us: We are an established, industry-leading organization with a large-scale operational footprint and a continued investment in modernizing our enterprise data platforms, Microsoft ecosystem, and AI capabilities. We are looking for a highly experienced Lead AI & Data Architect to help shape our next generation of enterprise data and intelligent business solutions. This is a unique hybrid position combining approximately 65% data/platform architecture and 35% hands-on AI engineering. The ideal candidate brings deep experience with Microsoft Fabric, Azure, enterprise data architecture, and modern AI technologies including RAG, AI agents, Python, and API integrations. We need someone who can architect enterprise-grade solutions and personally build critical components, not someone limited to high-level diagrams or strategy. Why join us? $175-$210K proposed base compensation range High-impact technical leadership role shaping enterprise data and AI architecture Opportunity to design the Microsoft Fabric/Azure foundation for future AI initiatives Build production AI agents, RAG solutions, and intelligent enterprise integrations Balance strategic architecture decisions with meaningful hands-on engineering Collaborate with existing SQL/data engineering and Power Platform developers Influence security, governance, scalability, and long-term technical direction Join an established organization investing in data modernization and AI innovation Opportunity for the role to evolve toward greater AI engineering ownership over time Job Details Job Details We are seeking a hands-on Lead AI & Data Architect who can design scalable enterprise data platforms and engineer AI solutions that securely connect to real business systems. This is not a pure AI research position, a traditional data architect role, or a Power Platform development position. The ideal candidate combines enterprise data architecture expertise with the ability to personally develop AI agents, integrations, and proof-of-value solutions that can evolve into production systems. What You'll Be Doing Architect and modernize enterprise data platforms using Microsoft Fabric, Azure, SQL, Lakehouse and data warehouse technologies Design dimensional data models, star/snowflake schemas, semantic layers and governed enterprise datasets Define scalable data ingestion, transformation, integration and orchestration patterns Architect Azure AI Foundry solutions and enterprise AI applications Design and implement RAG architectures, vector/search solutions, grounding strategies and enterprise knowledge retrieval Develop AI agent and tool-integration architectures, including MCP where appropriate Build hands-on Python services, APIs, agents and integration components Establish secure data and AI access patterns using Microsoft Entra, row-level security, governance and enterprise controls Collaborate with existing SQL developers on data engineering and platform implementation Partner with the Power Platform developer on Power Apps, Power Automate and Copilot Studio integrations Translate business requirements into scalable, production-ready architecture and AI solutions Establish architectural standards and mentor developers while remaining technically hands-on What We're Looking For Senior/principal-level experience in enterprise data architecture and engineering Strong hands-on Microsoft Fabric and Azure architecture expertise Advanced SQL, dimensional modeling, data warehousing and semantic modeling skills Experience with Azure AI Foundry or related Azure AI services Practical knowledge of RAG, vector search, grounding and AI agents Strong Python development, API integration and enterprise systems integration experience Familiarity with agent tools, function calling and MCP architecture Experience designing secure systems with Entra, RLS, data governance and access controls Ability to make sound architecture decisions and personally build working solutions Strong collaboration and technical leadership skills technologies including RAG, AI agents, Python, and API integrations. We need someone who can architect enterprise-grade solutions and personally build critical components, not someone limited to high-level diagrams or strategy. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Fintech firm hiring remote Principal Data Engineer / Generous pay + benefits This Jobot Job is hosted by: Christine McNamara Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $170,000 - $205,000 per year A bit about us: We are seeking a highly skilled Principal Data Engineer to join our Data & Analytics team. This individual will play a critical role in designing, building, and scaling modern data pipelines and architectures to support enterprise analytics, reporting, and data products. The ideal candidate has deep expertise in ELT development, dimensional modeling, and modern cloud data platforms, with a strong focus on performance, scalability, and data quality. This is a highly technical, hands-on role with significant ownership across the data lifecycle-from ingestion through curated data marts. Why join us? Annual performance bonus Medical, dental, vision coverage 401k with 4% match Unlimited PTO Remote flexibility Competitive compensation packages Job Details Qualifications: Required: Bachelor's degree in Computer Science, Engineering, or equivalent experience 5+ years of experience building ELT pipelines in a Data Warehouse environment Strong experience with dimensional data modeling (Kimball, Data Vault, Medallion) Hands-on expertise with: dbt, Airflow or Dagster Strong experience with: o Snowflake or similar cloud data warehouses o Distributed data systems o Kubernetes environments Deep understanding of: o Append-only data modeling & point-in-time data structures o Column-oriented / analytical SQL modeling Strong proficiency in: o Python o SQL Experience implementing: o Test-driven development (TDD) for data pipelines o Git-based workflows and CI/CD best practices Preferred: Experience working within modern data mesh or data platform architecture Exposure to real-time or streaming pipelines Experience supporting large-scale analytics or BI environments Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Fintech firm hiring remote Principal Data Engineer / Generous pay + benefits This Jobot Job is hosted by: Christine McNamara Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $170,000 - $205,000 per year A bit about us: We are seeking a highly skilled Principal Data Engineer to join our Data & Analytics team. This individual will play a critical role in designing, building, and scaling modern data pipelines and architectures to support enterprise analytics, reporting, and data products. The ideal candidate has deep expertise in ELT development, dimensional modeling, and modern cloud data platforms, with a strong focus on performance, scalability, and data quality. This is a highly technical, hands-on role with significant ownership across the data lifecycle-from ingestion through curated data marts. Why join us? Annual performance bonus Medical, dental, vision coverage 401k with 4% match Unlimited PTO Remote flexibility Competitive compensation packages Job Details Qualifications: Required: Bachelor's degree in Computer Science, Engineering, or equivalent experience 5+ years of experience building ELT pipelines in a Data Warehouse environment Strong experience with dimensional data modeling (Kimball, Data Vault, Medallion) Hands-on expertise with: dbt, Airflow or Dagster Strong experience with: o Snowflake or similar cloud data warehouses o Distributed data systems o Kubernetes environments Deep understanding of: o Append-only data modeling & point-in-time data structures o Column-oriented / analytical SQL modeling Strong proficiency in: o Python o SQL Experience implementing: o Test-driven development (TDD) for data pipelines o Git-based workflows and CI/CD best practices Preferred: Experience working within modern data mesh or data platform architecture Exposure to real-time or streaming pipelines Experience supporting large-scale analytics or BI environments Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Build the Future of Agentic AI Staff/Senior Engineer Up to $250K + Equity High-Growth AI Startup This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $200,000 - $250,000 per year A bit about us: We are partnering with an exceptionally exciting, well-funded AI startup that is building next-generation technology to solve complex, high-impact challenges across government, enterprise, and highly regulated industries. Backed by leading institutional investors and an accomplished founding team with experience spanning major technology companies and senior government institutions, this organization is developing sophisticated AI-powered platforms that fundamentally transform how organizations access intelligence, conduct research, and execute complex workflows. This is an opportunity to join an ambitious startup at a pivotal stage of growth, working directly with the CTO and founding team to architect and build the core infrastructure powering its agentic AI platform. Unlike traditional software engineering roles focused on maintaining existing products, this position offers tremendous technical ownership, architectural influence, and the opportunity to build production-grade autonomous AI systems from the ground up. Why join us? Exceptional Technical Ownership: Own foundational AI infrastructure rather than a small component of an established platform. Your architectural decisions will directly influence the company's technology and future products. Direct Access to Leadership: Report directly to the CTO and collaborate closely with an accomplished founding team. Frontier Agentic AI Development: Work on genuinely complex AI engineering challenges involving autonomous agents, orchestration, reasoning, persistent memory, secure tool execution, and production reliability. Meaningful Equity & Startup Upside: Join a funded, high-potential AI startup at an early stage, with an opportunity to participate in the company's long-term success. High-Impact Applications: Build technology addressing sophisticated challenges across government, enterprise, and other mission-critical environments. Builder-Focused Engineering Culture: Work alongside ambitious, technically accomplished professionals who value ownership, execution, collaboration, and solving difficult problems. Compensation & Work Environment Base Salary: Up to $250,000 annually, with flexibility for exceptional candidates. Equity: Meaningful equity participation. Location: SoHo, New York City. Onsite Requirement: Five days per week, with 13 remote days available per quarter. Employment: Full-time, direct hire. This is an in-person, highly collaborative startup environment designed for engineers who thrive when working directly with leadership, moving quickly, and building innovative technology from the ground up. If you are passionate about agentic AI, enjoy solving technically challenging problems, and want the opportunity to make a meaningful impact on the future of autonomous AI systems, we would love to connect. Job Details tems, asynchronous execution, state management, APIs, and fault-tolerant application design. Experience with retrieval-augmented generation (RAG), context management, or knowledge retrieval systems. Understanding of the challenges associated with nondeterministic AI behavior, including reliability, evaluation, observability, and failure recovery. Ability to independently own complex engineering initiatives, make architectural decisions, and deliver production-ready solutions. Comfortable working in a fast-moving, early-stage startup environment with significant individual ownership. Preferred Qualifications Experience with agent orchestration technologies such as LangGraph, LangChain, AutoGen, CrewAI, or custom-built agent frameworks. Experience building persistent agent memory, multi-agent coordination, or long-running autonomous workflows. Experience developing AI evaluation frameworks, tracing infrastructure, or model observability platforms. Familiarity with multi-provider LLM architectures, inference optimization, and model-routing strategies. Experience with secure tool execution, permissioned actions, and human-in-the-loop approval systems. Background building AI platforms for government, defense, financial services, healthcare, legal technology, or other highly regulated environments. Previous experience at an early-stage AI startup or in a Staff/Principal-level engineering role. Experience building systems where source attribution, data provenance, and factual accuracy are essential. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity The Application Support Engineer serves as a Tier 2 (L2) technical support resource within the Association's Production Management organization. This role is responsible for monitoring, troubleshooting, incident resolution, service restoration, and operational support for critical business applications and services across the enterprise technology landscape. Working closely with the Availability Command Center (ACC), Tier 1 Operations, Application Engineering teams, Infrastructure teams, and external vendors, this position provides technical expertise for application incidents, operational issues, and service stability initiatives. The engineer investigates and resolves application performance issues, system alerts, batch processing failures, integration problems, middleware issues, and production incidents impacting business operations. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position is based in San Antonio, TX. Relocation assistance is not available for this position. What You'll Do: Design, develop, test, and implement technical solutions that support business objectives. Write, maintain, and enhance code to deliver new features, system improvements, and ongoing product enhancements. Troubleshoot, and resolve technical issues and production incidents to ensure system reliability and performance. Analyze systems and processes to identify opportunities for improvement and drive operational efficiency. Define technical specifications, standards, and requirements that support scalable and sustainable applications Follow established Software Development Lifecycle (SDLC) practices, including requirements gathering, development, testing, deployment, and maintenance. Ensure risks associated with business activities are appropriately identified, assessed, monitored, and managed in accordance with organizational risk and compliance standards. What You Have: Bachelor's degree; OR 4 years of relevant education and/or experience. Basic Understanding of one or more of the following: Java, Swift, Objective-C, JavaScript, Kotlin, C++, HTML, CSS, SQL, Go, and Python, Mainframe technologies including COBOL, JCL, CICS, DB2, IMS, MQ, and z/OS.+ Experience with enterprise monitoring and observability tools such as Splunk, Dynatrace, Datadog, New Relic, Grafana, AppDynamics, Azure Monitor, or similar platforms. Ability to analyze logs, traces, metrics, and application performance data to identify service degradation and outage conditions. Familiarity with Kubernetes, OpenShift, Docker containers, and microservice-based applications. Understanding of API-driven architectures and integration technologies. Experience with ServiceNow, Jira, Confluence, or similar operational platforms. Understanding of Incident, Problem, Change, Event, and Knowledge Management processes. What Sets You Apart: 2+ years of experience supporting enterprise applications, infrastructure, cloud platforms, or production environments, including troubleshooting across multiple technology domains. Experience in an Enterprise Availability Command Center (ACC), Production Operations, Site Reliability Engineering (SRE), or comparable service restoration environment, with direct involvement in high-severity incident response and recovery activities. Strong analytical and problem-solving skills, with the ability to correlate monitoring, logging, and operational data to diagnose issues and restore critical business services. Working knowledge of observability, automation, service resiliency, SRE principles, and operational process improvement. Experience working within Incident Management processes and operational support procedures, with the ability to coordinate technical teams and communicate effectively during service disruptions. Experience supporting highly regulated industries such as financial services, insurance, or healthcare; ITIL Foundation certification and Azure or AWS certifications preferred. US military experience gained through military service or gained as a military spouse / domestic partner Compensation range: The salary range for this position is: $77,120.00 - $147,390.00. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Principal AI Engineer provides the highest level of individual-contributor technical leadership for the company's AI platform, operating one level above the Lead AI Engineer role. This person sets the multi-year architecture strategy for agentic and LLM-powered systems - spanning model strategy, retrieval-augmented generation (RAG), tool/connector ecosystems, and evaluation/governance tooling - across every team that builds on the AI platform, not just one. In a highly regulated healthcare environment, the Principal AI Engineer resolves the hardest, most ambiguous technical problems facing the platform, is a primary technical voice with executive leadership on AI strategy and risk, and shapes how the entire engineering organization adopts AI safely and effectively. Success is measured by the durability and adoption of the technical strategy this role sets across multiple teams, this role's ability to unblock cross-organizational technical risk before it becomes a delivery or compliance problem, and its influence on AI investment decisions at the executive level. Key Responsibilities Enterprise AI Strategy: Own the multi-year technical strategy and roadmap for the AI platform across all teams building on it, not a single product or team - model strategy, RAG/retrieval architecture, connector ecosystems, and evaluation frameworks. Technical Authority: Serve as the final technical escalation point for the hardest, most ambiguous architecture and reliability problems on the AI platform, spanning multiple teams and systems. Cross-Team Standards: Set architecture, security, and evaluation standards that multiple Lead AI Engineers and their teams adopt; audit and evolve those standards as the platform and threat landscape change. Executive Advisory: Serve as a primary technical voice to VP- and executive-level leadership on AI platform strategy, model risk, and investment trade-offs. Deep Technical Delivery: Personally lead architecture and prototyping for the organization's highest-ambiguity, highest-risk AI initiatives - the problems no existing team or pattern already solves. Mentorship at Scale: Develop Lead and Senior AI Engineers into stronger technical leaders through design review, technical coaching, and structured knowledge-sharing across teams. Responsible AI & Governance: Shape enterprise-wide AI governance policy - model risk review, connector/tool approval frameworks, and PHI-handling standards - in partnership with Legal/Compliance/Privacy leadership. Vendor & Model Strategy at Scale: Own evaluation and long-term strategy for foundation model providers and AI infrastructure vendors across the company, not just a single team's stack. External Technical Representation: Represent the company's AI engineering capability externally - industry forums, partner/vendor technical relationships, and recruiting for senior technical talent. Organizational Impact: Influence AI platform direction and investment across the broader enterprise, extending beyond a single business unit. Priority will be given to candidates who reside in the Columbus, OH metropolitan area. We are unable to provide sponsorship for this role, presently or in the future. Minimum Requirements Bachelor's degree or equivalent experience; typically 12+ years of software engineering experience, including 6+ years focused on AI/ML, LLM, or NLP systems in production and 3+ years operating as a senior individual-contributor technical leader. Fewer years required with a relevant Master's or Doctorate. Critical Skills One level of demonstrated technical leadership above a Lead AI Engineer - e.g., setting technical direction and standards across multiple teams, not just owning architecture for a single team or platform area. Proven track record setting technical strategy that multiple teams adopt, not just delivering within one team's roadmap. Deep, hands-on expertise building production LLM applications at scale: prompt engineering, RAG, agentic workflows, tool use, and evaluation harnesses - with the judgment to know which patterns will and won't hold up over multiple years. Experience with commercial large language model APIs (e.g., Anthropic, OpenAI) and tool-integration protocols such as Model Context Protocol (MCP), including evaluating emerging alternatives. Strong software engineering fundamentals: Python and/or Java, REST APIs, event-driven architecture, microservices, and cloud-native design (Azure preferred; AWS/GCP acceptable). Experience with vector/graph retrieval systems, embeddings, and knowledge-base architectures at production scale across multiple products. Deep working knowledge of LLMOps/MLOps: usage attribution, cost/spend monitoring, abuse detection, and model evaluation pipelines, including designing these systems from scratch. Demonstrated ability to influence and align senior engineering and executive stakeholders without direct authority. Deep familiarity with regulated/healthcare data environments and AI governance frameworks (model risk review, connector approval tiers, PHI handling). Preferred Qualifications Advanced degree (M.S. or Ph.D.) in Computer Science, AI/ML, or a related technical field. Prior experience as a Principal, Staff, or Distinguished Engineer setting AI/ML technical strategy across multiple teams inside healthcare IT or another highly regulated industry. Track record of publications, patents, open-source contributions, or industry speaking on applied AI/LLM systems. Experience shaping enterprise-wide AI governance policy in partnership with Legal, Compliance, and Privacy leadership. Additional Skills Deep awareness of the fast-moving GenAI/agentic landscape and a demonstrated ability to separate durable technical bets from hype. Experience managing strategic relationships with AI infrastructure vendors and model providers at the enterprise level. Exceptional written and verbal communication for executive, board-level, and external technical audiences. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $195,000 - $325,000 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

About the role: • We're seeking a Principal Backend Engineer to set the technical vision for our backend platform and drive its architecture, service design, and delivery across multiple teams. • Our backend is built as Go-based microservices, and you'll be the technical authority on how those services are designed, built, operated, and evolved. • You'll operate at the intersection of engineering, product, and architecture - shaping not just how services get built, but what gets prioritized and why. • You'll own the API and event contracts that the front end and other systems depend on, and hold end-to-end accountability for the platform's engineering foundations: service boundaries, data modeling, reliability, observability, performance, security, and testing strategy. • You'll also be a force multiplier for the engineering org - raising the technical bar through mentorship, architecture reviews, and by modeling how ambiguous, cross-team problems get solved.

Job Title: Senior / Principal Solution Architect - Contact Center Duration: Long term Job Type: C2C/W2/1099 Location: Remote Primary Skills: NICE CXone, Amazon Connect (AWS), Siera Role Overview We are looking for an experienced End-to-End Contact Center Solution Architect with deep expertise in NICE CXone, Siera and Amazon Connect to lead enterprise contact center transformation initiatives. The architect will be responsible for solution discovery, architecture, design, integration, implementation, migration, and deployment of cloud-based omnichannel contact center platforms. The ideal candidate must have strong hands-on architecture experience, particularly integrating contact center platforms with Salesforce Service Cloud, enterprise applications, and AI-powered customer service solutions. Hiring Preference: Candidates with expertise across NICE CXone, Siera, Amazon Connect, Salesforce Service Cloud, and AI-enabled contact center transformation will be prioritized. Key Responsibilities Own end-to-end solution architecture for NICE CXone and Amazon Connect implementations, modernization, and migration programs. Design enterprise contact center capabilities, including IVR, ACD, CTI, omnichannel routing, inbound/outbound calling, and digital engagement. Architect Salesforce Service Cloud integrations, including agent desktop, screen pops, customer 360, case management, and workflow automation. Design conversational AI, virtual agents, intelligent routing, agent assist, real-time transcription, call summarization, and sentiment analysis solutions. Define integration architecture using AWS Lambda, Lex, Bedrock, API Gateway, REST APIs, and event-driven services. Lead legacy contact center migrations, telephony integrations, data migration, testing, cutover, and production deployment. Develop high-level and low-level architecture, integration specifications, solution estimates, and implementation roadmaps. Ensure security, scalability, high availability, disaster recovery, performance, and regulatory compliance. Provide technical leadership to engineering teams and collaborate with business stakeholders, enterprise architects, and client leadership. Required Technical Skills NICE CXone / Siera: ACD, Studio, IVR, digital channels, skills-based routing, APIs, recording, analytics, and workforce engagement management. Amazon Connect: Contact flows, routing profiles, queues, CCP, Contact Lens, Amazon Lex, and AWS Lambda. Salesforce: Service Cloud, CTI integration, Salesforce Voice capabilities, Omni-Channel, and Agentforce. AWS: Lambda, Bedrock, API Gateway, S3, IAM, CloudWatch, EventBridge, and serverless architecture. Telephony: SIP, PSTN, SBC, carrier connectivity, call recording, and voice infrastructure. Integration: REST APIs, webhooks, middleware, event-driven integration, and enterprise application connectivity. Architecture: Cloud-native architecture, HLD/LLD, security, scalability, observability, and HA/DR. Preferred Qualifications Proven experience architecting at least two enterprise-scale contact center implementations. Strong hands-on experience in NICE CXone or Amazon Connect, preferably both platforms. Experience integrating Salesforce Service Cloud with enterprise contact center platforms. Knowledge of GenAI, conversational AI, agentic workflows, and contact center automation. AWS Solutions Architect and/or NICE CXone certifications preferred. Strong client-facing communication, solution estimation, technical leadership, and stakeholder management skills. Mandatory Candidate Screening Criteria Must have independently owned end-to-end contact center solution architecture, not just development or configuration. Must demonstrate deep architectural expertise in NICE CXone or Amazon Connect, with exposure to both preferred. Must have experience with Salesforce Service Cloud / CTI integration. Must have delivered at least two production contact center implementations or migrations. Must be capable of leading architecture discussions, technical estimations, and solution design with enterprise clients.

At Credit Acceptance, we are building on the foundation of a successful business while investing in the future through technology, data, AI, and continuous improvement. As we continue to evolve, our Team Members play an active role in improving experiences, driving meaningful change, and shaping the future of our business. We foster an environment where people are empowered to contribute ideas, develop their careers, make an impact, and help lead our continued transformation. Our Engineering teams are helping shape the future of Credit Acceptance through innovation. Team Members collaborate across the organization to solve complex challenges, build impactful solutions, challenge the status quo, and support informed business decisions. We value curiosity, continuous learning, and new ideas from people who are passionate about driving modernization and meaningful business impact. Outcomes and Activities Enterprise target architecture: Convene the principal and staff engineers who own each domain to define the end-state architecture across originations, servicing, marketplace, data, and AI, and use it to drive the multi-year plan. Ensure every component has a defined interface with stated inputs and outputs, every unmade decision has a written principle standing in for it, and the document states honestly how close the organization is to the end state. Publish the architecture, including the tradeoffs that were rejected and why. Agentic AI architecture across the enterprise: Own the enterprise agent architecture spanning servicing and collections, the dealer side, originations, and internal engineering and back-office workflows, built on one common foundation rather than one stack per team. Establish a governed way for agents to discover and call business capabilities, data, and tools, using the Model Context Protocol as the integration layer. Define an identity and authorization model that treats an agent as a first-class actor with its own least-privilege entitlements, along with observability, evaluation, and cost controls that work consistently for every agent. Set policy on what an agent may decide independently versus what stays with a person, and define where that line moves and on what evidence. Design the architecture to produce an examiner-ready record of what each agent saw, recommended, and touched, and set the evaluation and adversarial testing approach that makes agent outcomes defensible. Ensure the same foundation and controls apply to agents built by outside firms on the company's behalf. Migration off on-premises infrastructure: Own the technical strategy for migrating transactional and analytical workloads off on-premises infrastructure to the company's strategic targets - AWS for transactional workloads and Databricks for analytical workloads - determining what lifts and shifts, what replatforms, what gets re-architected on the way versus after, and what the steady-state cost looks like. Own the resilience and recovery architecture for the target state. Data platform architecture: Set the architecture for change-data-capture-based ingestion, streaming where warranted, and a modern warehouse with no job-scheduling dependency, moving the organization from largely batch analytical data movement to real time. Help settle the open question of who owns the transactional and analytical data models. Real-time decisioning, model serving, and experimentation: Architect for pricing and credit model and scorecard updates that drop in as a layer rather than requiring a multi-quarter rebuild, and for an experimentation platform that supports orders of magnitude more concurrent experiments than a conventional release process allows. Marketplace and search architecture: Own the architecture and interfaces for a unified vehicle inventory, consumer search, and lead routing platform, ensuring the data model supports more than one class of seller from the start. AI-native engineering practice: Define the golden path for how software is specified, generated, reviewed, tested, and deployed, including the analyzers and gates that enforce it, and measure the inputs to that practice rather than just the outputs. Hold the build-versus-buy bar for AI capability, building what is core competency and about to scale, and renting the rest. Performance and peak readiness: Own the instrumentation, baseline, and remediation architecture needed to meet the standard that no page takes more than one second. Own peak-event headroom, including understanding the limits of each system and maintaining tested degradation levers ahead of need. Operating approach: Move the organization from project-shaped systems toward owned platforms with stated contracts. Document every component's inputs and outputs, and be ready to argue why closely coupled components should not be consolidated into one. Work toward a two-week requirement-to-production iteration bar, treating architecture that cannot be delivered incrementally as unfinished. Name what comes off the plan whenever a change in direction is requested. Make the call and own the outcome on architectural recommendations. Treat security, privacy, auditability, and regulatory obligation as design inputs from the start in this regulated environment. Hands-on, not hands-off: This is not optional. Stay personally engaged in the technical work rather than directing it from a distance. Join design reviews, write proofs of concept, read code, and engage in incident analysis. This hands-on time does not replace the work the teams own, and it is not a fallback when delivery slips. Every engineer in the organization will read how you write, how you argue a design, how you handle being wrong, and how you treat engineers who disagree with you as the bar. Staff and principal engineers should be measurably better at this work for having worked with you. Success measures: A published target architecture the domain owners agree with and that the annual and long-range plans are actually written against; an enterprise agent foundation that internal teams and partners build on, with access controls, evaluation, and audit records in place; a credible, dated, costed migration path off on-premises infrastructure and demonstrated progress against it; measured improvement in chosen input metrics such as latency, availability, recovery objectives, deployment frequency, and experiment throughput; growth in the number of principal and staff engineers who are better at this work as a result of this role; and architectural decisions that stop being relitigated because the reasoning was written down and the interfaces were clear. Competencies Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer's shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner's Mindset: Owner's Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Requirements Bachelor's degree in Computer Science, Information Systems, or closely related field of study; or equivalent work experience Minimum 10 years of software engineering experience or comparable depth of experience A track record of setting and delivering multi-year technical strategy at enterprise scale, as an individual contributor rather than through a reporting line. Depth in distributed systems architecture, and in at least two of: agentic or LLM-based systems in production; large-scale cloud migration of transactional systems; modern data platform and lakehouse architecture; machine learning platform and model serving; high-traffic consumer or marketplace applications. Architecture ownership of agentic or LLM-based systems that reached production, including how tool and data access were governed, how the system was evaluated, and what its failure modes turned out to be. Demonstrated ownership of a legacy-to-modern migration of systems the business runs on, including the sequencing, the cost case, and the failure modes, with production revenue at stake rather than only familiarity with the concept. Hands-on credibility today: actively reads code, writes proofs of concept, joins design reviews, and participates in incident analysis. Evidence of influence without authority across organizational boundaries, including work that changed direction at the executive level. Strong written communication; architecture here is carried by documents that other people can act on without the author in the room. Demonstrated ability to develop staff and principal engineers, and to raise the technical bar of engineers not directly managed. Experience delivering in a regulated industry, or a clear ability to work inside audit, security, and compliance constraints without treating them as an obstacle. Candidates must reside in or be willing to relocate to one of the following hub locations: the greater Southfield, Michigan . click apply for full job details

About Arcticom Offering a broad range of information technology solutions, Arcticom, LLC provides network and systems administration, enterprise architecture and resource planning, certification and accreditation, software design, programming, maintenance of telecommunications and land mobile radio equipment and systems, help desk support and IT transformation services among other services. Arcticom offers impressive performance that is routinely recognized with exceptional ratings and commendations tied to installation successes. Satisfied Bering Straits Native Corporation (BSNC) family customers include the U.S. Air Force, Army, Navy, Coast Guard, the Departments of State, Justice, Commerce, Agriculture, Interior, Homeland Security, the General Services Administration, the Defense Logistics Agency and the U.S Census Bureau. About this position: Public Member Consultant in Washington, DC The Essential Duties and Responsibilities are intended to present a descriptive list of the range of duties performed for this position and are not intended to reflect all duties performed within the job. Other duties may be assigned. To perform this job successfully, an individual must be able to satisfactorily perform each essential duty. The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of the position. Arcticom, a company within the BSNC family, is currently seeking a Public Member Consultant career professional to support The Department of State, Office of Performance Evaluation in performing annual reviews of Foreign Service personnel. This position requires an individual with experience in one of the following career areas: Information Technology, Law Enforcement, Educators (at all levels), Medical Practitioners, Business, Human Resources, Building Operations, Transportation and Freight, Security Engineer, Media, or Finance Professionals. This effort requires availability of 40 hours per week (minimum) from mid-May to the mid-August and some part-time consulting from September thru April. However, two weeks of board training must be in-person in Wash DC where all members meet the Foreign Service members you may be assigned to work with during the summer cycle. After the training period, the summer board cycle will continue full-time virtually. Travel costs are reimbursed if outside the DMV area, according to standard government rates. The basic requirements include being a US Citizen with a college degree that can pass a background check (an unclassified security clearance) without any a legal or financial conflict of interest and has traveled or worked/lived abroad. Background: The Department of State maintains a rigorous system to promote employees (worldwide) on an annual basis as required under the Foreign Service Act of 1980. One key requirement is to include (1) Public Member consultant on each of the multiple Foreign Service Selection Boards that review performance records of Foreign Service personnel; recommend employees for promotion; and recommend other personnel actions when warranted. Each board will consist of 4 Department of State professionals and 1 Public Member. Public members bring diverse experience and perspectives to Board deliberations that enhance the integrity of the performance review process for employees who represent the United States. Essential Duties & Responsibilities The Department of State, Office of Performance Evaluation Boards, can meet from four to nine weeks. The projected time frame for concentrated board activity is approximately mid-May to mid-August, each year. Selected individuals must be available and online during core business hours of 8:00 AM to 5:00 PM or longer, if necessary, which may include weekends and holidays. After this period, there may be other (shorter) boards for which the Arcticom Program Manager would recall interested individuals for additional board assignments. Such boards could include but are not limited to: Department Senior Review Board, the Interagency Review Board, Performance Pay Board, and Reconstituted Boards to review a limited number of personnel files. The first 2 weeks of on-site training will occur at U.S Department of State, SA- G St NW, Washington, DC 20520 or other local government buildings. The remainder of the board record reviews will be performed remotely. Required (Minimum Necessary) Qualifications Education Requirements: Bachelor's degree Have overseas experience, which can be through work, education, or personal travel. Be available to serve on a full-time basis during the entire time that the boards are in session. Not be employed in the Federal service at the time of appointment or during his or her service on a Selection Board. Not be a registered agent of a foreign principal, a lobbyist for a foreign entity, or receive income from a government of a foreign country. Not be a retiree from State, USAID, Foreign Commercial Service, Foreign Agriculture Service, or USGMA. Not be a friend, relative or other personal contact of any person employed in the Global Talent Management Office of Performance Evaluation (GTM/PE), the Office of the Director General and the Director of Global Talent (DGTM), or any office or individual involved in the selection/formalization of the service of the public member. Not be a direct recipient of grants or other funding from the Department of State such that it could be deemed a conflict of interest. Prior Experience: Public Member Consultant candidates experience including but not limited to: Information Technology, Law Enforcement, Educators (all levels), Medical Practitioners, Business, Human Resources, Building Operations, Transportation and Freight, Security Engineer, Media, or Finance Professionals. Required: US Citizen, Overseas travel or work, pass a background check, and accept up to a one-year consultant assignment. (please list countries of international travel and interest in International Affairs on resume) Knowledge, Skills, Abilities, and Other Characteristics Knowledge of organizational procedures and workflows - understanding how work moves through a company. Basic knowledge of relevant technologies or tools - e.g., Microsoft 365, communication platforms, or industry standard software. Knowledge of customer service practices - principles of providing quality service and managing inquiries professionally. Knowledge of data privacy and confidentiality principles - awareness of proper handling of sensitive information. Communication skills (written and verbal) - ability to convey information clearly and professionally. Time management and prioritization - balancing multiple tasks and meeting deadlines. Problem solving and critical thinking - analyzing issues and selecting appropriate solutions. Interpersonal and teamwork skills - building rapport and collaborating effectively with others. Attention to detail - producing accurate, error free work. Preferred N/A Necessary Physical Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this role. Employees must always maintain a constant state of mental alertness. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Essential and marginal functions may require maintaining the physical condition necessary for bending, stooping, sitting, walking, or standing for prolonged periods of time; most of the time is spent sitting in a comfortable position with frequent opportunities to move about. Work Environment The work environmental characteristics described here are representative of those that must be borne by an employee to successfully perform the essential functions of the role. Employees must always maintain a constant state of situational awareness. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Job is performed in an office setting with exposure to computer screens and requires extensive use of a computer, keyboard, mouse, and multi-line telephone system. The work described herein is primarily a modern office setting. Occasional travel may be required. Supervisory Responsibilities This position will not have supervisory responsibilities. DOT Covered/Safety-Sensitive Role Requirements This position is not subject to federal requirements regarding Department of Transportation "safety-sensitive" functions. Additional Qualifying Factors As a condition of employment, you will be required to pass a pre-employment drug screening and have acceptable background check results. If applicable to the contract, you must also obtain and maintain the appropriate clearance levels required and must also be able to obtain access to military installations. Shareholder Preference BSNC gives hiring, promotion, training, and retention preference to BSNC shareholders, shareholder descendants and shareholder spouses who meet the minimum qualifications for the job. Bering Straits Native Corporation is an equal opportunity employer. All applicants will receive consideration for employment without regard to any status protected by state or federal law, or any other basis prohibited by law.

CFSA requires a senior, deeply hands-on Solution Architect resource to serve as the technical design authority for STAAND (Stronger Together Against Abuse and Neglect in DC), the District's federally certified Comprehensive Child Welfare Information System (CCWIS). STAAND is a person-centric, AI-enabled platform built on Microsoft Dynamics 365 and the Power Platform hosted in a Government Community Cloud (GCC) tenant, with Azure services operating in Microsoft's commercial cloud. It supports CFSA social workers, supervisors, private agency partners, providers, resource parents, and District sister agencies across nine functional modules - Intake and Investigations, Case Management, ICPC, Finance (Contracts, Service Logs, and Fiscal), Provider, Eligibility and Subsidy, Placement, Services, and Management Reports - plus six external portals (Mandated Reporter, MPD, NYTD, OSSE, Resource Parent, and Community). STAAND also fields CORA, an AI assistant supporting natural-language search and AI-assisted contact notes among other use cases. The Resource will own architecture, security design, AI engineering, and the platform-release change cadence required to keep STAAND current and improving. This is a build-and-design role, not an advisory or oversight role. The Resource is expected to personally configure, code, prototype, review, and troubleshoot in the platform while serving as the credible technical voice to CFSA executive leadership, STAAND Product Team, OCTO, Microsoft, and Federal Partners (ACF/Children's Bureau). The Resource will work under the direct supervision of the District DevOps Manager. Scope of Work and Responsibilities 3.1 Solution and Platform Architecture • Own and maintain the authoritative STAAND architecture: logical and physical data models, Dataverse table and relationship design, solution segmentation, environment strategy, and integration topology. • Personally build in the platform - model-driven app configuration, plug-ins and custom APIs (C#/.NET), PCF controls, TypeScript/JavaScript client extensions, Power Fx, and plug-in pipeline optimization. • Establish and enforce architecture standards, design patterns, naming conventions, and technical debt registers across all modules and portals. • Chair design authority review for significant changes; sign off on solution designs before build. • Diagnose deep platform issues: performance degradation, API and service-protection limits, plug-in execution ordering, solution layering conflicts, storage growth, portal rendering. • Maintain architecture artifacts sufficient to satisfy CCWIS review, federal audit, and District IT governance. 3.2 Cross-Cloud Architecture: GCC and Commercial Azure • Design, document, and harden the boundary between the GCC Dynamics/Power Platform tenant and Azure commercial-cloud services. • Define what data may traverse that boundary, in what form (de-identified, tokenized, aggregated, or full record), under what authorization, and with what logging - including explicit architectural boundaries for protected data categories such as Medicaid Enrollment. • Implement cross-tenant identity, managed identities, service principals, Key Vault secret lifecycle, private networking, and API gateway patterns. • Maintain a defensible position on data residency and FedRAMP authorization boundaries for every commercial-cloud service in use, and present that position to auditors and federal reviewers. 3.3 AI and Agentic Development • Serve as hands-on technical lead for CFSA's AI capability, including CORA and its expansion into agentic workflows. • Design, build, evaluate, and productionize agents in Azure AI Foundry and Copilot Studio: tool and function calling, orchestration and multi-agent patterns, grounding and retrieval over Dataverse and document stores, prompt and context engineering, structured output, and human-in-the-loop checkpoints. • Own AI evaluation discipline: golden datasets, automated evals, groundedness and hallucination measurement, regression testing on model or prompt changes, latency and cost benchmarking, controlled rollout. • Manage the AI model lifecycle - track model releases and deprecations, run comparative evaluation before adopting a new model, execute migrations without regression to worker-facing quality. • Implement responsible AI controls appropriate to a child welfare setting: content safety, PII/PHI handling, bias and fairness testing, explainability, audit logging of AI-influenced actions, and clear framing of AI output as decision support rather than decision making. • Support predictive and analytic capability aligned to agency mission priorities, ensuring models are validated, monitored for drift, and governed. • Build reusable AI platform assets - prompt libraries, agent templates, evaluation harnesses, observability dashboards. 3.4 Application and Platform Security • Own the security architecture of STAAND end to end; serve as technical counterpart to the agency ISSO, OCTO security, and District privacy officials. • Apply and evidence compliance with OCTO IT policies (octo.dc.gov/page/it-policies), NIST SP 800-53, FISMA, FedRAMP, HIPAA, 45 CFR 1355 (CCWIS), Title IV-E confidentiality, and District data protection law including DC Code 28-3851 et seq. breach notification obligations. • Design and enforce least privilege: Dataverse business unit and role architecture, row/column-level security, portal web roles and table permissions, privileged access management, separation of duties for finance and eligibility functions. • Lead secure SDLC: threat modeling, secure code review, static and dynamic analysis, dependency and supply-chain scanning, secrets management, remediation tracking with severity-based SLAs. • Support penetration tests, vulnerability assessments, and audit response; own STAAND-assigned POA&M items. • Define AI-specific security requirements: prompt injection defenses, tool-permission scoping, data exfiltration prevention, agent action auditing. • Contribute to incident response, continuity, and disaster recovery planning; validate RTO/RPO through periodic exercises. 3.5 Continuous Improvement and Release Management • Own the STAAND change pipeline from enhancement request through design, build, test, release, and post-release verification, including published release notes and coordination with the CISA training organization. • Plan and execute against Microsoft's Dynamics 365 biannual release waves and Power Platform service updates: early-access testing in a dedicated environment, deprecation and breaking-change assessment, and a documented impact and remediation plan per wave. • Evaluate new platform, Azure, and AI capabilities against the STAAND roadmap; run structured proofs of concept and make evidence-based adopt / trial / hold / retire recommendations. • Maintain a rolling multi-year technical roadmap balancing stabilization, platform health, security, federal compliance, and innovation. • Drive performance, reliability, and cost optimization - capacity and license consumption, Azure spend, storage tiering, API efficiency. • Advance DevOps maturity: source-controlled solutions, automated build and deploy pipelines, environment refresh, automated regression testing, release quality metrics. • Maintain and report the technical issues and risk register with mitigation owners and timelines. 3.6 Data, Interoperability, and Federal Reporting • Own the data architecture supporting AFCARS, NCANDS, NYTD, CFSR, and Title IV-E reporting, including lineage, quality rules, exception handling, and submission validation. • Design and maintain bi-directional exchanges with District and external partners consistent with CCWIS interoperability requirements. • Establish automated data quality controls, duplicate person detection and merge integrity, and reconciliation with legacy records. 3.7 Stakeholder and Senior Leadership Engagement • Translate between social work practice and technical architecture; observe real workflow with intake workers, investigators, case managers, placement staff, and fiscal teams before designing for it. • Brief the CFSA IT Steering Committee Members, CIO, STAAND Product Leadership, OCTO leadership, Council oversight staff, court monitors, and ACF/Children's Bureau reviewers, calibrating to each audience. • Serve as principal technical liaison to Microsoft (Industry Solutions Delivery, Customer Success, product groups) and to implementation and support vendors; hold them to architectural and quality standards. • Author decision memos, architecture decision records, briefing decks, and federal reporting content requiring minimal editing. • Mentor CFSA staff and other contract resources; build internal capability and reduce single-point-of-failure dependency. Dynamics 365 Customer Service (MB-230) Microsoft Certified: Power Platform Solution Architect Expert (PL-600) Microsoft Certified: Azure Solutions Architect Expert (AZ-305) Bachelor's degree in Computer Science, Software Engineering, Information Systems, Data Science, or a closely related technical discipline from an accr Progressive IT experience Solution or enterprise architecture on enterprise-scale, mission-critical systems Microsoft Dynamics 365 CE / Dataverse / Power Platform - hands-on Lead or principal architect on full D365 implementation lifecycles (min. 2 lifecycles) Microsoft Azure architecture and hands-on build (PaaS integration, data, identity) Generative AI / agentic development in production - Azure AI Foundry, Azure OpenAI, or Copilot Studio RAG / grounding, tool calling, agent orchestration, and AI evaluation methodology Application security in a regulated environment (NIST 800-53 or equivalent, threat modeling, secure SDLC) Government cloud delivery - GCC, GCC High, or Azure Government Pro-code D365 extensibility - C#/.NET plug-ins, custom APIs . click apply for full job details

Candidates must be authorized to work in the United States without the need for current or future visa sponsorship. This position is for full-time, onsite employment at the Family Dollar Chesapeake, VA Store Support Center. We handle relocation for anyone interested outside of the Hampton Roads, VA area Summary of Position (Job Purpose) This is an exciting opportunity to join the Data & Analytics Delivery Organization at Family Dollar. The company is undergoing a major transformation, and data driven insights are playing a critical role in delivering the best possible customer experience. We are seeking a Data Engineer who combines strong business acumen with hands on technical expertise. This role requires someone who can partner with key stakeholders to understand business challenges and translate them into world class technical solutions using modern cloud technologies. You will be responsible for designing and building data engineering solutions on our cloud based data platform. The role includes contributing to technical design, developing scalable data pipelines, and supporting data engineering workloads. Principal Duties and Responsibilities: Collaborate closely with stakeholders across product, architecture, development, business intelligence, and executive teams. Analyze data from multiple sources and develop solutions to integrate data into the enterprise data ecosystem Develop automated pipelines to ingest and process structured and unstructured data using both batch and streaming patterns with cloud native toolsets Work with diverse datasets and technologies to understand cross system correlations, patterns, and data relationships Build, schedule, and monitor data pipeline orchestrations Implement automation to optimize compute and storage usage across the cloud data platform Develop and enhance end to end monitoring and observability capabilities for cloud based data platforms Support knowledge sharing, cross training, and onboarding activities for team members Provide clear and frequent updates to stakeholders on progress, risks, and deliverables Participate in daily Scrum standups and contribute to an agile development environment Stay current on emerging trends and technologies in Data Warehousing and Analytics-particularly within retail. Minimum Requirements/Qualifications: Bachelor's degree or higher in Computer Science, Engineering, or a related field. 3+ years of experience in data engineering or data analytics. Strong understanding of RDBMS concepts with 3+ years of advanced SQL and data analysis experience. 2+ years of experience with Linux command line tools and scripting. 3+ years of Python development experience with expert level proficiency. 1+ year working with Big Data processing frameworks and tools. Hands on experience with GCP services such as Cloud Storage, Dataflow, Pub/Sub, and BigQuery. Strong proficiency in SQL, Python, Linux shell scripting, and data modeling. Solid knowledge of data modeling techniques Ability to analyze source systems and transform data to meet target data model requirements. Experience working with large scale data warehouses (10+ TB) and high volume ETL/ELT workloads (50M+ records/day). Demonstrated experience delivering end to end technical solutions within enterprise BI/Data Warehousing environments. Experience with performance tuning and optimization across the data delivery pipeline-from ingestion through analytics. Experience migrating data of various formats (JSON, delimited files, APIs, real time feeds) into Google BigQuery is strongly preferred. Experience working in a Scrum/Agile environment and tools such as Jira. Nice to have: Experience working with a data science workbench or ML development environment. Familiarity with data engineering aspects of machine learning pipelines (e.g., data prep, splitting, feature engineering, scoring) "Projected Salary Range: $95,000 - $118,500". 10% annual bonus opportunity This is not to be considered a complete list of job duties, as they may be amended or added to as needed. Family Dollar is an equal opportunity employer and committed to recruiting, hiring, training, and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We are committed to complying with the Americans with Disabilities Act (ADA) and providing reasonable accommodations to qualified individuals with disabilities. Full time 510 Volvo Parkway,Chesapeake,Virginia 23320 Transportation Family Dollar

Candidates must be authorized to work in the United States without the need for current or future visa sponsorship. This position is for full-time, onsite employment at the Family Dollar Chesapeake, VA Store Support Center. We handle relocation for anyone interested outside of the Hampton Roads, VA area Summary of Position (Job Purpose) This is an exciting opportunity to join the Data & Analytics Delivery Organization at Family Dollar. The company is undergoing a major transformation, and data driven insights are playing a critical role in delivering the best possible customer experience. We are seeking a Data Engineer who combines strong business acumen with hands on technical expertise. This role requires someone who can partner with key stakeholders to understand business challenges and translate them into world class technical solutions using modern cloud technologies. You will be responsible for designing and building data engineering solutions on our cloud based data platform. The role includes contributing to technical design, developing scalable data pipelines, and supporting data engineering workloads. Principal Duties and Responsibilities: Collaborate closely with stakeholders across product, architecture, development, business intelligence, and executive teams. Analyze data from multiple sources and develop solutions to integrate data into the enterprise data ecosystem Develop automated pipelines to ingest and process structured and unstructured data using both batch and streaming patterns with cloud native toolsets Work with diverse datasets and technologies to understand cross system correlations, patterns, and data relationships Build, schedule, and monitor data pipeline orchestrations Implement automation to optimize compute and storage usage across the cloud data platform Develop and enhance end to end monitoring and observability capabilities for cloud based data platforms Support knowledge sharing, cross training, and onboarding activities for team members Provide clear and frequent updates to stakeholders on progress, risks, and deliverables Participate in daily Scrum standups and contribute to an agile development environment Stay current on emerging trends and technologies in Data Warehousing and Analytics-particularly within retail. Minimum Requirements/Qualifications: Bachelor's degree or higher in Computer Science, Engineering, or a related field. 3+ years of experience in data engineering or data analytics. Strong understanding of RDBMS concepts with 3+ years of advanced SQL and data analysis experience. 2+ years of experience with Linux command line tools and scripting. 3+ years of Python development experience with expert level proficiency. 1+ year working with Big Data processing frameworks and tools. Hands on experience with GCP services such as Cloud Storage, Dataflow, Pub/Sub, and BigQuery. Strong proficiency in SQL, Python, Linux shell scripting, and data modeling. Solid knowledge of data modeling techniques Ability to analyze source systems and transform data to meet target data model requirements. Experience working with large scale data warehouses (10+ TB) and high volume ETL/ELT workloads (50M+ records/day). Demonstrated experience delivering end to end technical solutions within enterprise BI/Data Warehousing environments. Experience with performance tuning and optimization across the data delivery pipeline-from ingestion through analytics. Experience migrating data of various formats (JSON, delimited files, APIs, real time feeds) into Google BigQuery is strongly preferred. Experience working in a Scrum/Agile environment and tools such as Jira. Nice to have: Experience working with a data science workbench or ML development environment. Familiarity with data engineering aspects of machine learning pipelines (e.g., data prep, splitting, feature engineering, scoring) "Projected Salary Range: $95,000 - $118,500". 10% annual bonus opportunity This is not to be considered a complete list of job duties, as they may be amended or added to as needed. Family Dollar is an equal opportunity employer and committed to recruiting, hiring, training, and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We are committed to complying with the Americans with Disabilities Act (ADA) and providing reasonable accommodations to qualified individuals with disabilities. Full time 510 Volvo Parkway,Chesapeake,Virginia 23320 Transportation Family Dollar

Candidates must be authorized to work in the United States without the need for current or future visa sponsorship. This position is for full-time, onsite employment at the Family Dollar Chesapeake, VA Store Support Center. We handle relocation for anyone interested outside of the Hampton Roads, VA area General Summary: The AI Lead Developer is a hands-on "builder" role, and a senior technical staff engineer who can lead a team of developers and can also builds new AI applications and software including agentic AI applications, analytical solutions and pilot new ideas from incubation to deployment. This role is a critical part of Family Dollar's capability to build our own AI applications inhouse using top of line agent development kits, APIs, software libraries and interface with our vendors and partners to trial their products for fit within Family Dollar's IT estate, including our cloud environments, digital applications, and our operational systems. This position is fully onsite. Principal Duties & Responsibilities: Translate business requirements into target AI solutions that can be delivered fast and iteratively on Google Cloud Platform. Develop agentic AI applications using modern agent development kits and frameworks (e.g., Google Agent Development Kit, Gemini Agent Platform, LangGraph, etc), including multi-agent workflows, tool integration, and human-in-the-loop checkpoints. Build and operate retrieval-augmented generation (RAG) solutions that ground LLMs in Family Dollar's enterprise data, including ingestion, embeddings and vectors. Deploy and maintain production-grade AI agents capable of reasoning, tool-use, and multi-step task execution. Establish and maintain MLOps and CI/CD pipelines for AI workloads, including model and prompt versioning, evaluation harnesses, monitoring, cost controls, and rollback procedures. Implement enterprise-grade guardrails for AI applications, prompt-injection defense, PII handling, content safety, role-based access controls, and audit logging; partnering with platform, security, infrastructure, and business stakeholders to meet Family Dollar's standards for identity, networking, data residency, and compliance. Define how AI applications integrate into Family Dollar's existing IT estate. Set integration patterns, APIs, and data contracts across identity, networking, data, and retail systems (POS, ERP, CRM, inventory, supply chain), partnering with the teams that own those systems. Own technical quality across the team's AI work - set and uphold engineering standards, review code, and keep technical debt low so solutions stay maintainable and easy to operate Partner with IT support to transition support gradually through SOPs, runbooks, dashboards, on-call coverage, and alerting, and escalation point after handover. Lead and mentor the engineering team, sharing knowledge and setting technical standards across the AI and Automation team. On call coverage (technical support) as needed. Performs other duties as assigned. Position Requirements: Fully onsite office work environment Minimum Requirements: Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (Master's preferred). 5+ years of progressive IT experience in large, cross-functional teams or projects, preferably in a retail environment. 2+ years developing AI solutions in a leading role Write clean, well-tested, well-documented code; conduct code reviews; and contribute to internal libraries, templates, and engineering best practices. Sense of urgency and the ability to drive a delivery team toward results in a dynamic environment. Ability in developing, presenting and communicating technical concepts to varying audiences Experience in retail, supply chain, or large-scale operational environments within retail systems (POS, ERP, CRM, inventory, supply chain, etc). Advanced knowledge of recent GenAI platform advancements. Experience in Google Cloud Platform, generative AI, LLMs, and agentic frameworks "Projected Salary Range: $132,000 to 160,000". 20% annual bonus opportunity plus other incentives Family Dollar is an equal opportunity employer and committed to recruiting, hiring, training, and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We are committed to complying with the Americans with Disabilities Act (ADA) and providing reasonable accommodations to qualified individuals with disabilities. Full time 510 Volvo Parkway,Chesapeake,Virginia 23320 IT Development Family Dollar