Note: The job is a remote job and is open to candidates in USA. Merative is a company focused on healthcare IT solutions, and they are seeking a proven and forward-thinking Sr. Manager, Software Engineering to lead a team of 10-15 software engineers. This role is central to driving technical excellence, developer productivity, and the thoughtful adoption of AI-assisted development practices across the engineering organization.
Responsibilities
- Set and evolve the technical direction for the team, ensuring architectural decisions align with product goals, scalability requirements, and industry best practices
- Champion the adoption of GenAI-powered developer tooling (e.g., GitHub Copilot, Claude Code) to accelerate delivery and improve code quality
- Conduct and guide rigorous code reviews, architecture discussions, and design sessions to maintain high engineering standards
- Stay current with emerging technologies, frameworks, and AI/ML advancements relevant to enterprise SaaS development
- Has full accountability for technical output within the group, ensuring solutions are scalable, secure, and maintainable
- Lead, mentor, and grow a team of 10-15 engineers of varying experience levels, including senior engineers and individual contributors
- Own the full talent lifecycle: hiring, onboarding, performance management, career development, compensation planning, and retention
- Foster a culture of technical curiosity and continuous improvement, where engineers feel empowered to experiment with new technologies and tools, including AI-assisted workflows
- Identify skills gaps and build targeted development plans, advocate for team members’ growth and promotion opportunities
- Responsible for a major engineering function, demonstrating strong leadership and management skills with the ability to manage mid-sized teams
- The role’s core accountability is ensuring the team delivers high-quality, reliable software that meets enterprise-grade reliability and compliance requirements
- Partner with Product Management and Design to translate business requirements into well-scoped engineering deliverables
- Own sprint planning, capacity management, and roadmap execution, balancing feature velocity with technical debt reduction
- Drive a culture of engineering rigor: automated testing, CI/CD maturity, observability, and incident response
- Define, track, and report on delivery metrics (cycle time, defect rates, deployment frequency) using data-driven approaches
- Manage competing priorities with transparency, proactively communicating risks and trade-offs to stakeholders
- Develops operational plans for the group based on broader engineering and corporate strategy; strategic decisions have a 2-4 year impact horizon
- Lead by example in the evaluation, piloting, and scaled rollout of generative AI tools for code generation, test automation, documentation, and developer workflows
- Define best practices and guardrails for responsible GenAI use within the software development lifecycle (SDLC), including security, IP, and compliance considerations
- Partner with platform and DevOps teams to integrate AI tooling into CI/CD pipelines and developer environments
- Measure and communicate the ROI of GenAI adoption through productivity metrics and developer experience surveys
- Act as an internal evangelist for AI-augmented engineering, educating teams, leadership, and stakeholders on capabilities and responsible use
- Serve as the primary engineering point of contact for product, design, security, and customer success teams
- Collaborate with architects, platform engineering, and other group managers to drive consistency in technology choices, shared services, and reusable components
- Engage with customers and partners when needed to understand technical requirements and provide confidence in engineering capabilities
- Represent the engineering team in executive reviews, quarterly planning, and cross-functional forums
- Ensure software development practices comply with enterprise security standards and relevant regulatory requirements (e.g., SOC 2, HIPAA where applicable)
- Instill quality engineering practices: code coverage standards, static analysis, security scanning, and vulnerability management within the SDLC
- Partner with QA and security teams to define and enforce quality gates across the delivery pipeline
Skills
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field
- Equivalent practical experience in lieu of formal education will be considered
- 10+ years of software engineering experience, including 5+ years in an engineering management or technical lead role
- 5+ years of experience managing teams of 8 or more engineers in an enterprise SaaS company
- Demonstrated experience driving the adoption of generative AI tooling within a software development team
- Background in building and shipping enterprise software products with high reliability, security, and scalability requirements
- Proficiency in one or more enterprise-grade programming languages and frameworks (e.g., Java, Python, Node.js, React, Go)
- Hands-on experience with generative AI coding tools (GitHub Copilot, Claude Code) and AI-assisted testing/documentation pipelines
- Solid understanding of cloud-native development on AWS, Azure, or GCP; familiarity with containerization (Docker, Kubernetes) and serverless architectures
- Experience with CI/CD pipelines, DevOps practices, and modern build/deploy tooling (GitHub Actions, Jenkins, ArgoCD, etc.)
- Familiarity with microservices architecture, API design (REST, GraphQL), and distributed systems patterns
- Working knowledge of security best practices within the SDLC, including OWASP, SAST/DAST tooling, and secrets management
- Proficient with engineering productivity and observability tooling (Jira, Datadog, Splunk, PagerDuty, or equivalents)
- Experienced people manager with a track record of developing engineers at all levels, including senior and staff-level contributors
- Skilled at navigating performance management, compensation conversations, and career pathing in a structured, equitable manner
- Ability to build team cohesion and maintain morale through periods of organizational change, ambiguity, or high delivery pressure
- Experience managing in a globally distributed or remote-first engineering environment
- Experience working in regulated or compliance-sensitive industries (healthcare IT, fintech, or similar) is a plus
Benefits
- Vacation to help you rest, recharge, and connect with loved ones
- Paid leave benefits
- Extended health, paramedical, dental, and vision benefits
- Registered retirement and tax-free savings plans
- Tuition reimbursement, life insurance, EAP – and more!
Company Overview