Lead and oversee multiple onshore/offshore Agile development pods for a 1-year remote contract. Manage Scrum/Kanban/SAFe teams, drive CI/CD via Azure DevOps, and deliver solutions built on Microsoft Power Platform (Power Apps/Power Automate). Must provide high schedule flexibility to coordinate across time zones; government/regulatory experience preferred.
A premier client has an immediate opening due to a recent candidate back-out! We need senior-level engineering leadership options lined up ASAP before the client PM returns on July 10.
⏳ Duration: 1-Year Contract (July 2026 – July 2027)
📍 Location: 100% Remote (US-Based)
🔑 Critical Requirement: High schedule flexibility (split morning and evening availability with breaks) to effectively oversee both onshore and offshore development pods.
Requirements🎯 Core Tech & Leadership Stack:
- 8+ Years of experience in software development, engineering management, or technical delivery leadership.
- Proven background managing multiple Agile (Scrum/Kanban/SAFe) development pods in large-scale enterprise environments.
- Deep experience with Microsoft Power Platform (Power Apps, Power Automate) and Azure DevOps / CI/CD pipeline automation.
- Experience in government or regulated environments (DHS / Federal / State compliance or IV&V) is highly preferred.
📥 Fast-Track Your Application: If you have the required schedule flexibility and enterprise engineering leadership background, email your CV & LinkedIn URL directly to [email protected] for immediate submission!
Similar Jobs
Artificial Intelligence • Machine Learning
Embed with life sciences customers to build and deploy production-grade AI/MLOps solutions on the Domino platform. Deliver end-to-end ML workflows, cloud and Kubernetes integrations, GPU workloads, monitoring, and reusable playbooks. Advise technical and business stakeholders, translate field feedback to product teams, and own customer engagements from onboarding through strategic scale.
Top Skills:
Agent FrameworksAksAWSAzureBashDockerDominoEksGCPGenerative AiGkeGpuKubernetesMlopsPythonRSQL
Artificial Intelligence • Cloud • Consumer Web • eCommerce • Information Technology • Software
Lead strategy and execution for foundational platform products (data & analytics, enterprise search, auth/entitlement/billing), own portfolio P&L, establish governance and cross-team planning, drive adoption, mentor PMs, coordinate with Google Cloud partners, and deliver measurable commercial outcomes while enabling AI-native workflows.
Top Skills:
APIsAuth SystemsBilling SystemsChatgptClaudeCliData PipelinesDeveloper ToolingEnterprise SearchEntitlement SystemsGecxGCPGoogle Merchant CenterGoogle ShoppingGoogle UcpMcpSemantic Search
Artificial Intelligence • Cloud • Software
Manage and maintain compliance with security and privacy frameworks (ISO 27001, SOC 2, HIPAA, PCI DSS). Coordinate audits, drive remediation, improve controls and evidence management, support security questionnaires for deal cycles, and design compliance training while partnering across teams to integrate controls into the SDLC.
Top Skills:
AWSAzureDatadogDrataFrontend DevelopmentHipaaIso 27001LinearOpen Source ComponentsPci DssSdlcSoc 2
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine



