Lead architecture and implementation of scalable full-stack systems powering agentic AI for supply chain workflows. Own POCs, build React front ends and Node.js/Python back ends, collaborate with AI researchers and product, ensure secure code, lead incident response, and manage customer data retention and deletion.
About BackOps AI
Role Overview
What You'll Do
What We're Looking For
What We Offer
BackOps AI is transforming supply chain operations with agentic AI solutions that automate complex workflows, freeing operations teams to focus on what matters most. Headquartered in the San Francisco Bay Area with flexible remote-friendly options, we foster a culture of innovation, ownership, and measurable impact.
As Senior Software Engineer, you’ll be a core member of the team, architecting and implementing the end-to-end systems that power our agentic solutions. This is a full-time, hybrid role where you’ll:
- Lead engineering efforts from design through production
- Build scalable products
- Collaborate closely with AI researchers, product, and operations teams to enrich business context for agents
- Influence our technical roadmap, tooling choices, and best practices
- Architect & Build: Design and develop robust, efficient systems that automate intricate supply chain workflows
- POC Leadership: Own proof-of-concept projects define requirements, write core code, iterate rapidly, and validate success with stakeholders
- Full-Stack Development: Implement new features across our React front end and Node.js/Python back end
- AI Agents: Building vertical agents that solved high impact problems
- Strategic Partnership: Shape product direction by providing architectural insights and technical feasibility assessments
- Maintain the confidentiality, integrity and availability of the information systems and processes for which they are responsible in compliance with BackOps.ai policies on information security and privacy
- Responsible for the development and deployment of secure code in accordance with BackOps.ai standards, policies and procedures
- Leader of the Incident Response team, responsible for incident response, documentation and lessons learned process
- Execution of customer data retention and deletion processes in accordance with company policy and customer requirements
- Experience: 5+ years of professional software development, with a track record of delivering production-scale web services
- Startup DNA: Proven ability to thrive in early-stage environments comfortable with ambiguity, rapid pivots, and wearing multiple hats
- POC Expertise: Demonstrated success leading proof-of-concept or pilot projects from zero to launch
- Technical Mastery: Deep understanding of modern front-end frameworks, and back-end languages (Node.js, Python)
- Problem Solver: Strong analytical skills and a bias for action able to break down complex problems and deliver pragmatic solutions
- Communicator: Exceptional written and verbal skills to articulate architecture decisions and partner effectively with non-technical stakeholders
- Equity & Ownership: Generous equity packages so you grow alongside the company and share in our upside
- Impact & Visibility: Direct access to co-founders and the ability to see your work drive real business results
- Collaborative Culture: A small, tight-knit team of seasoned operators and AI experts
- Flexible Work: Hybrid model with core Bay Area presence and remote flexibility
BackOps AI San Francisco, California, USA Office
San Francisco, CA, United States
BackOps AI San Ramon, California, USA Office
San Ramon, United States
Similar Jobs
Enterprise Web • Fintech • Payments • Software • Financial Services
Senior infrastructure/SRE engineer responsible for designing, implementing, and scaling AWS infrastructure, improving cloud networking, managing CI/CD and ephemeral environments, building observability tooling, reviewing code, driving testing practices, and participating in on-call rotations to support growth from hundreds to thousands of environments.
Top Skills:
AWSBashCi/CdEcsLinuxPostgresPythonTerraform
Digital Media • Information Technology • News + Entertainment
Design, customize, and maintain software applications; manage releases and documentation; collaborate with stakeholders and QA; mentor junior engineers; track performance metrics and apply market research to improve reliability and user experience. Must exercise independent judgment and work variable schedules including nights and weekends.
Top Skills:
C++SQL
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Design, build, and operate reliable infrastructure and observability tooling across the stack. Own IaC, incident response, monitoring, cost optimization, and production systems. Mentor engineers, participate in on-call rotations, run postmortems, and drive reliability and operational excellence for a high-volume platform.
Top Skills:
AthenaAuroraAws Ec2Ci/CdDistributed TracingDockerDynamoDBGoJavaKubernetesLambdaLinuxLoggingMetricsNew RelicPrometheusPythonRdsS3SplunkTerraformVpcsWindows
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
