Senior Engineering Manager, Infrastructure & Data Engineering
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Job Description
Senior Engineering Manager leading AWS infrastructure, DevOps, and data engineering for a virtual reading tutoring company. Owning platform strategy, team growth, and SOC2 compliance.
Responsibilities:
- Lead, manage, and grow the DevOps and Data Engineering teams
- Provide technical guidance, mentorship, and career development for six engineers
- Develop technical leads within each team
- Set and drive a unified platform roadmap with the Director of Engineering and VP of Data
- Balance infrastructure investment, data platform direction, technical debt, and delivery needs
- Ensure reliable, scalable, and secure AWS cloud infrastructure
- Maintain smooth and efficient deployment pipelines for the engineering organization
- Ensure the data platform serves product engineering and analytics/data science teams
- Establish clear intake, prioritization, and data quality standards
- Oversee monitoring, alerting, on-call, and incident response
- Own the annual SOC2 audit and penetration test cycles
- Coordinate auditors, vendors, and internal teams
- Track remediation
- Collaborate with development teams to integrate DevOps and data best practices into the software development lifecycle
- Write and collaborate on technical specifications
- Review designs and guide architectural decisions
- Model effective use of GitHub Copilot, Cursor, Claude, and similar AI tools
- Coach teams on AI-assisted development practices
- Track and share team-level AI adoption progress, wins, and learnings
Requirements:
- 8+ years in software, infrastructure, or data engineering
- 2+ years directly managing engineers
- Deep, hands-on expertise in cloud infrastructure/DevOps or modern data engineering
- Working fluency in the other domain
- Experience running a team serving multiple internal customers
- Familiarity with security and compliance standards such as SOC2
- Experience owning a compliance program end-to-end
- Experience developing senior engineers into technical leads
- Experience building team resilience through documentation, on-call health, and single-point-of-failure reduction
- Exceptional communication and interpersonal skills
- Strategic thinking and ability to balance short-term objectives with long-term goals
- Ability to be self-managing and flexible in a remote environment
- Demonstrated regular use of AI coding assistants
- Ability to validate AI outputs and identify when suggestions should be modified or rejected
- Understanding of when AI tools add value versus traditional approaches
- Willingness to learn, adapt to, and coach others on AI development tools and practices
Benefits:
- Employee Stock Options
- Medical, Dental, and Vision plans (80% employee coverage, 70% dependent coverage)
- Short-term Disability (100% employer paid)
- 401(k) retirement plans with company contribution
- 12-weeks paid parental leave
- Unlimited vacation days
- 12 paid holidays
- Technology Stipend
- Wellness Stipend
- Voluntary Life Insurance
- Professional Development Stipend
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