Career Team Enterprises - Software Engineering Manager
Requirements
• 6+ years in software engineering • 2–4+ years leading teams as an Engineering Manager, Team Lead, or equivalent • Experience delivering production software in a SaaS, web platform, or product-led environment • Experience working with distributed or remote teams • Demonstrated track record implementing or maturing Scrum/Agile practice on a team that previously lacked it • Technical Background • Strong full-stack engineering background in the JavaScript / TypeScript ecosystem • Hands-on experience with Node.js and React / Next.js, and with designing and consuming APIs • Experience running production workloads on a major cloud platform (AWS preferred) • Working knowledge of CI/CD pipelines and modern software delivery workflows • Strong understanding of maintainable architecture, delivery tradeoffs, and engineering quality • MongoDB and/or MySQL at production scale • Docker and containerized deployment • Broader DevOps and infrastructure-as-code practices • Leadership Traits • Leadership Traits • Strong communicator and coach • Comfortable balancing speed, quality, and business priorities • Able to go deep technically without becoming a bottleneck • Calm under ambiguity and effective in a fast-moving environment • Genuinely passionate about AI — actively experimenting, and opinionated about where it helps and where it doesn't
Responsibilities
• Team Leadership & Delivery • Lead cross-functional engineering teams • Own sprint planning, execution, delivery quality, and risk management • Partner with Product and Design to turn roadmap priorities into executable plans • Remove blockers and improve team operating rhythm across a distributed environment • Drive visibility, predictability, and accountability for committed work • Agile Process & Team Operating Rhythm • Establish and continuously improve a disciplined Scrum/Agile process — sprint planning, backlog refinement, daily standups, sprint reviews, and retrospectives that actually change behavior • Partner with Product to keep the backlog groomed, well-estimated, and prioritized at least one to two sprints ahead • Drive accurate estimation and sprint commitment; track velocity, throughput, and cycle time to make delivery predictable rather than optimistic • Enforce clear definitions of ready and done, including test coverage, code review, and documentation standards • Run blameless retrospectives and close the loop on action items sprint over sprint • Adapt ceremonies to a distributed, night-shift team — async-first updates, tight written communication, and minimal meeting overhead • Coach engineers on breaking work into small, independently shippable increments • Technical Guidance • Technical Guidance • Provide technical leadership across the team's modern web stack and cloud infrastructure • Review designs, architecture proposals, and critical code paths • Support scalable, secure, and maintainable system design within your team's domain • Improve engineering practices around CI/CD, code review, observability, testing, and incident response • Use delivery metrics such as DORA (deployment frequency, lead time, change failure rate, time to restore) to identify bottlenecks and guide improvement • AI-Enabled Engineering • Champion AI adoption across the SDLC — planning, code generation, review, testing, documentation, and incident response • Set standards for responsible AI-assisted development: what gets reviewed, how quality bars hold, and where human judgment is non-negotiable • Evaluate and roll out AI tooling (Claude Code, Copilot, Cursor, agentic workflows, MCP-based integrations) and measure real impact on velocity and quality • Coach engineers to shift from writing every line to specifying, reviewing, and validating AI-generated work • Stay current as tooling evolves rapidly and bring practical ideas back to the team • People Management • People Management • Manage, coach, and develop software engineers through regular 1:1s, feedback, and growth plans • Support performance management, hiring, onboarding, and retention • Foster a culture of ownership, collaboration, code quality, and continuous learning • Mentor senior engineers and emerging technical leaders • Cross-Functional Collaboration • Work closely with U.S.-based stakeholders during overlap hours • Partner with Product, QA, DevOps, and business teams to keep delivery aligned with company goals • Communicate tradeoffs, risks, and delivery status clearly to technical and non-technical partners
Benefits
• Build technology that impacts real lives • Work with a mission-driven global team • Stay close to product and code while growing as a leader • Help shape how Career Team scales its engineering organization • Work somewhere AI is genuinely embraced — you will have the mandate and the tooling to modernize how software gets built here • Compensation will be commensurate with experience, qualifications, and overall fit for the role. • Career Team’s outstanding record has resulted in numerous honors, including: • Named by Inc. Magazine as one of America's 500 fastest growing privately held companies • Recipient of the US Chamber of Commerce Blue Chip Enterprise Award for innovation • Featured by 60 Minutes, CNN, Money Magazine, Inc. Magazine and the British Broadcasting Network as an innovative, government funded solutions program • Invited to the White House after being cited by the National Welfare-to-Work Partnership and National Alliance of Business as a top 10 US training provider
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