Software Engineering Manager - Infrastructure & DevOps - AI Confidential Computing Startup

Software Engineering Manager - Infrastructure & DevOps - AI Confidential Computing Startup

San Francisco, CA (you can work from home 3x/week)

The company's product is transforming and accelerating AI innovation. It involves AI infrastructure, data security/privacy, and confidential computing.

The company has raised series B Funding, has 30 employees and 20 engineers, and is rapidly growing.

Work hours average 40-50/week.

The company will pay $250k-280k in salary plus equity which could be lucrative.

Job Responsibilities:

- Leading, mentoring, and growinga team of infrastructure and DevOps engineers focused on platform components based on Kubernetes.

- Balancing technical leadership with people management: conducting 1:1s, performance reviews, and career development planning.

- Collaborating cross-functionally with Product Growth teams, leadership, and Engineering teams to ensure alignment on foundation priorities in a dynamically-changing startup environment.

- Owning the design, implementation, and maintenance of cloud infrastructure (AWS/GCP/Azure) and building for scale, resilience and security.

- Ensuring scalability, availability, and performance of systems across distributed, mission-critical environments for production, development and sandbox environments.

- Driving automation initiatives to eliminate toil and improve efficiency in infrastructure and developer workflows.

- Overseeing on-call operations, incident response, and root cause analysis, improving mean time to recovery (MTTR) and drive to key KPIs ( DORA or similar).

- Managing cloud costs and driving architectures to manage and maintain cloud costs.

- Building and maintaining CI/CD pipelines to accelerate development velocity while ensuring security and compliance.

- Developing and enforcing Infrastructure-as-Code practices (Terraform, Pulumi, CloudFormation, Helm and Azure marketplace automation and deployments).

- Driving observability: logging, monitoring, metrics, tracing, and alerting best practices.

- Understanding security considerations in AWS, Azure, and GCP, and partnering with Security to harden infrastructure and implement compliance frameworks (SOC2, ISO27001, HIPAA, etc.).

- Defining long-term infrastructure strategy for scalability and cost optimization.

- Introducing and evaluating emerging technologies, tools, and methodologies to continuously improve infra systems.

- Leading large-scale migration projects (e.g., monolith to microservices, IaC, Kubernetes secure image production and networking architectures).

Qualifications:

- At least 10 years (preferably more) of experience in Enterprise level SaaS, Infrastructure, or DevOps roles, with at least 3 years (preferably more) leading technical teams in a hands on capacity.

- Track record of managing infrastructure at scale (multi-region, high-traffic, high-availability systems).

- Strong hands-on expertise in cloud platforms (AWS, GCP, or Azure), Kubernetes, containerization, and orchestration with deep understanding on how they work technically.

- Proficient in CI,Github actions, automation frameworks, and developer productivity tooling.

- Strong knowledge of distributed systems in production based on Kubernetes deployments.

- Deep experience in GCP, Azure or AWS.

- Strong technical expertise in Infrastructure-as-Code (e.g Terraform, Helm or similar) cloud services.

- Strong coding ability in Python, Go or similar.

- Expertise with monitoring/observability stacks (Prometheus, Grafana, ELK/EFK, OpenTelemetry).

- Understanding of databases (SQL/NoSQL), caching systems, and data pipelines from an infra perspective.

- Knowledge of compliance frameworks (SOC2, ISO, HIPAA, PCI).

- Ability to lead by example and remain hands-on while guiding a team.

- Skill in balancing business goals with technical excellence.

- Solid experience with JIRA and agile targeted towards infrastructure/foundation teams.

- Experience recruiting, hiring, and retaining world-class engineers.

Nice to Have:

- Experience in startups or hyper-growth environments.

- Experience with confidential computing platforms.

- Background in security and GenAI products, workflow related products and infrastructures supporting these products.

- Contributions to open-source infra/devops projects.

- Experience with multi-cloud strategies or hybrid cloud environments including client side deployments.

About Skyrocket Ventures

Skyrocket Ventures is a recruiting firm for hundreds of high growth technology companies that range from industry leaders to top-tier startups. This opportunity is with one of our client companies for a full-time permanent hire. Please only apply if you are authorized to work in the U.S.

Please note that even if this job is not a perfect match, we encourage you to apply as long as it is in the ballpark. Companies are often flexible in hiring candidates who do not perfectly fit their written job description, as long as the most important qualifications are there and the candidate is good in general.

Most of the jobs we are recruiting for are not posted online, so if you would like to know of all the opportunities we have that match your interests and qualifications, then please get in touch with us.

After you apply to this job posting, we’ll consider you for this job as well as any other potential matches with our client companies. If we have any potential matches, we’ll share your resume with those companies and contact you about any interview opportunities we can get you.

Thank you, and we wish you a great job search!