Senior Engineering Manager, Infrastructure & Data Engineering

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead, manage, and expand the DevOps and Data Engineering teams.

• Offer technical guidance, mentorship, and career growth opportunities for six engineers.

• Cultivate technical leads within each team.

• Define and drive a cohesive platform roadmap in collaboration with the Director of Engineering and VP of Data.

• Balance investments in infrastructure, direction for the data platform, technical debt, and delivery requirements.

• Ensure a reliable, scalable, and secure AWS cloud infrastructure.

• Maintain efficient and smooth deployment pipelines for the engineering organization.

• Ensure the data platform adequately supports product engineering and analytics/data science teams.

• Establish clear standards for intake, prioritization, and data quality.

• Oversee monitoring, alerting, on-call responsibilities, and incident response.

• Manage the annual SOC2 audit and penetration testing cycles.

• Coordinate with auditors, vendors, and internal teams.

• Track and oversee remediation efforts.

• Collaborate with development teams to integrate DevOps and data best practices into the software development lifecycle.

• Draft and collaborate on technical specifications.

• Review architectural designs and guide decision-making processes.

• Exemplify effective use of GitHub Copilot, Cursor, Claude, and similar AI tools.

• Coach teams on practices involving AI-assisted development.

• Monitor and share progress, successes, and insights related to team-level AI adoption.

⛳️ Requirements

• Over 8 years of experience in software, infrastructure, or data engineering.

• More than 2 years of direct experience managing engineers.

• Extensive hands-on expertise in cloud infrastructure/DevOps or modern data engineering.

• Proficient working fluency in the other domain.

• Experience managing a team that serves multiple internal customers.

• Familiarity with security and compliance standards, such as SOC2.

• Proven experience in owning a compliance program from start to finish.

• Experience developing senior engineers into technical leaders.

• Experience in building team resilience through documentation, on-call health initiatives, and reducing single points of failure.

• Exceptional communication and interpersonal abilities.

• Strategic mindset with the ability to balance immediate objectives with long-term goals.

• Capable of self-management and adaptability in a remote working environment.

• Demonstrated consistent use of AI coding assistants.

• Ability to assess AI outputs and determine when modifications or rejections are necessary.

• Understanding of the value AI tools can add compared to traditional methods.

• Willingness to learn, adapt, and guide others on AI development tools and practices.

🏝️ Benefits

• Employee Stock Options.

• Medical, Dental, and Vision plans with 80% employee coverage and 70% dependent coverage.

• Short-term Disability coverage fully paid by the employer.

• 401(k) retirement plans with company contributions.

• 12 weeks of paid parental leave.

• Unlimited vacation days.

• 12 paid holidays.

• Technology Stipend.

• Wellness Stipend.

• Voluntary Life Insurance.

• Professional Development Stipend.