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Software Engineering Manager
Career TEAMSoftware Engineering Manager leading Career Edge, Career Team’s workforce-development software platform. Managing engineers, product delivery, cloud systems, Agile execution, and responsible AI adoption.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong leadership in managing cross-functional engineering teams, with a focus on delivering high-quality software products in a SaaS environment. Proficient in Agile methodologies, technical architecture, and fostering a culture of continuous improvement and AI adoption.
Highest-signal resume keywords
Engineering ManagementFull-Stack JavaScript/TypeScriptNode.js DevelopmentAWS Cloud ExperienceScrum/Agile Implementation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Software EngineeringAPI DesignCI/CD PipelinesObservability PracticesTesting MethodologiesArchitecture ReviewDORA MetricsIncident ResponseAgile ProcessesSaaS Delivery
Soft Skills
CommunicationCoachingTeam DevelopmentRisk ManagementAdaptability
Tools & Technologies
ReactNext.jsCloud InfrastructureScrum ToolsAI Tooling
Industry Keywords
Product-Led EnvironmentRemote TeamsDelivery QualityEngineering QualityBackground Check
Tech Stack
Tools & technologiesAWSCloudJavaScriptNext.jsNode.jsReactTypeScript
About the role
Key responsibilities & impact- Lead cross-functional engineering teams and own delivery for a defined product or platform area
- Own sprint planning, execution, delivery quality, risk management, and committed-work accountability
- Partner with Product and Design to turn roadmap priorities into executable plans
- Improve Scrum/Agile processes, backlog readiness, estimation, velocity, throughput, cycle time, and team operating rhythm
- Provide technical leadership across the modern web stack and cloud infrastructure
- Review designs, architecture proposals, and critical code paths
- Improve CI/CD, code review, observability, testing, and incident response practices
- Use DORA metrics to identify bottlenecks and guide engineering improvements
- Champion responsible AI adoption across the software development lifecycle and evaluate AI tooling
- Manage, coach, and develop engineers through 1:1s, feedback, growth plans, hiring, onboarding, and retention
- Mentor senior engineers and emerging technical leaders
- Collaborate with U.S.-based stakeholders and Product, QA, DevOps, and business teams
- Communicate tradeoffs, risks, and delivery status to technical and non-technical partners
Requirements
What you’ll need- 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
- Track record implementing or maturing Scrum/Agile practices
- Strong full-stack JavaScript/TypeScript background
- Hands-on experience with Node.js, React/Next.js, and API design and consumption
- 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
- Strong communication and coaching abilities
- Ability to balance speed, quality, and business priorities
- Ability to work deeply technically without becoming a bottleneck
- Ability to remain calm under ambiguity in a fast-moving environment
- Passion for AI and active experimentation with AI-assisted development
- Successful completion of a background check, including criminal, prior employment, and education verification
- Availability for night-shift hours flexible within 6:00 PM–7:00 AM PHT, with overlap with U.S. teams
Benefits
Comp & perks- 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
- Mandate and tooling to modernize how software gets built with AI
- Equal Opportunity Employer