Senior Software Engineer, Infrastructure / Efficiency / Productivity

About This Opportunity

We are representing a confidential streaming technology organization in their search for a Senior Software Engineer focused on Infrastructure, Efficiency, and Productivity. This is a highly visible, technical leadership role reporting directly to a Vice President of Engineering, based in Cambridge with a hybrid working arrangement (Monday–Thursday in-office, flexible Fridays).

You will serve as a subject matter expert and technical leader in engineering infrastructure, productivity tooling, and enterprise automation, partnering with globally distributed Engineering, Product, and Security teams. This architect/strategist role drives organization-wide improvements in engineering productivity, delivery throughput, quality, security posture, and cost efficiency by building platforms, working practices, and AI-assisted automation that scale across geographies and time zones.

Responsibilities

AI-First Automation & Intelligent Tooling

• Define and lead an AI-first automation roadmap for engineering infrastructure and enterprise tooling, reducing waste, accelerating reviews, improving incident response, and increasing release confidence
• Architect and ship AI/LLM-enabled workflow automation across the SDLC, including risk assessment, automated build/test/deployment, intelligent test selection, change-impact analysis, and auto-triage of build/test failures
• Establish policies and guardrails for AI usage in internal tools: data handling, prompt/response logging, model/provider selection, evaluation, fallback behaviors, and abuse prevention

Developer Productivity & Enterprise Tooling (Global Scale)

• Set technical direction and standards for globally used developer tools, including build systems, source code management, branching/release strategy, and self-service support tools
• Architect and evolve CI/CD and build/test pipelines using Jenkins, Docker, and build systems (Bazel/BitBake/Yocto preferred) to support multi-site engineering environments
• Own and scale test and quality workflows leveraging test management systems such as TestRail or equivalent, enabling consistent traceability, reporting, and release sign-off across distributed teams
• Drive Jira workflow design and automation (templates, guardrails, integrations) to provide consistent cross-organization visibility and execution

Workflow Automation (Cross-Functional, Cross-Geo)

• Design and implement automation spanning Engineering, Product, Marketing, and Partners, including launch readiness, certification/release checklists, partner onboarding, and incident/change workflows
• Replace manual coordination with durable automation and integrations that work reliably across regions and time zones

Security, Cost, Performance, and Reliability

• Embed secure-by-default controls into pipelines and tooling: access control, secrets handling, audit trails, policy enforcement, including for AI-enabled systems
• Improve build/test performance and reliability through measurable KPIs: build times, test duration, flake reduction, and pipeline stability
• Drive cost efficiencies across tooling and infrastructure: compute utilization, caching strategies, license rationalization, including AI/runtime costs and ROI tracking

Technical Leadership & Stewardship

• Own cross-team architectures and standards; drive adoption through influence, clear technical judgment, and sustained multi-quarter execution
• Lead design reviews, mentor senior engineers, and unblock the hardest technical problems across distributed teams and systems
• Provide long-term stewardship via roadmaps, operational maturity (runbooks/SLOs), and incident/postmortem practices suitable for 24/7 global operations
• Establish yourself as the person others bring their hardest problems to

What We're Looking For

Required Experience & Skills:

• Bachelor's degree in Computer Science or Computer Engineering, or equivalent experience
• Prior experience at Staff, Principal, or Architect level
• Ownership experience in platform/infrastructure, developer productivity, CI/CD, build systems, or workflow automation, including work spanning globally distributed teams and systems
• Strong, hands-on knowledge of:
  • Git (workflows, branching strategies, release management)
  • Jenkins (CI/CD pipeline design, scaling, reliability)
  • Docker containers (reproducible build/test execution)
  • Build systems (BitBake/Yocto preferred)
  • Jira (workflow design/automation, cross-team visibility)
  • Test management systems such as TestRail or equivalent
• Demonstrated experience delivering automation at scale, including building platforms/components used by multiple teams
• Strong systems thinking across security, reliability, performance, and cost tradeoffs
• Excellent written communication for architecture documents, decision records, and operating procedures
• Extensive experience with software development on embedded Linux, multi-process architectures, and IPC mechanisms
• Experience working in large cross-functional teams and ability to influence teams that don't report to you
• Ability to see the big picture while focused on short-term objectives and deliverables
• Ability to multi-task and drive parallel projects and distributed teams with tight deadlines

Strongly Preferred (AI/Automation):

• Experience building AI-assisted developer tooling such as CI insights, test intelligence, code review automation, release risk scoring, or incident copilots
• Fluency across the agentic engineering toolchain: coding tools like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks
• Track record of shipping real projects using AI/agent tools, with ability to drive agents, verify output, and ramp on unfamiliar codebases with agent assistance
• Experience implementing evaluation/monitoring for AI systems: quality metrics, drift detection, offline test sets, and human feedback loops

How We Work With You

Our talent team at Get A Job.ai manages the full recruitment process on behalf of our client. Here's what to expect:

• Submit your application through the Get A Job.ai platform
• A recruiter from our team will conduct an initial screening to understand your experience and career goals
• Qualified candidates will be presented to our client for consideration
• We coordinate all interview scheduling and feedback throughout the process
• Please do not contact the client directly; all communication flows through Get A Job.ai to ensure a smooth, professional experience

Pay

Compensation details will be discussed during the screening process with our recruitment team.

Equal Employment Opportunity: Get A Job.ai is committed to providing equal employment opportunities to all applicants and does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, or any other protected characteristic. We welcome applicants from all backgrounds.