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Sr Engineering Manager Infrastructure

Hybrid (San Francisco)

About OPAQUE
OPAQUE is the Confidential AI company. Born from UC Berkeley’s RISELab, we solve the core challenge blocking AI adoption at scale: security concerns about data leaks or compliance violations. OPAQUE provides verifiable privacy and governance for AI so organizations can safely run models, agents, and workflows on their most sensitive data. Its Confidential AI platform delivers verifiable runtime governance backed by cryptographic proof that data, models, and agent actions remain private, governed, and compliant with approved policies throughout every AI workflow. This extends traditional data governance tools with real runtime verification, enabling teams to responsibly deploy AI using their most valuable proprietary data, and move from pilot to production 4-5X faster. Customers and partners include ServiceNow, Anthropic, Encore Capital, Accenture, and leaders across high tech, financial services, insurance, and healthcare.

Learn More at Opaque.co

Read about our Values at Opaque.co/about

 

Overview

We are seeking an exceptionally technical and hands-on Sr Engineering Managerto lead our Infrastructure Foundation team. This role is ideal for a senior engineer who has scaled systems in production, built resilient infrastructure platforms, and has a proven track record of managing and mentoring engineers. You will drive strategy, architecture, and execution for our infrastructure and developer tooling, ensuring our systems are reliable, secure, and efficient at scale. The role is highly technical and requires hands-on experience in Azure, GCP or AWS and has fundamental requirements in understanding networking architectures, Kubernetes, Docker, agile, automated testing for infrastructure and team leadership.  You will lead a team of devops and platform engineers focused on kubernetes, confidential compute, cloud and building infrastructure as code platform as a primary responsibility. 

Key Responsibilities

  • Leadership & Management

    • Lead, mentor, and grow a team of infrastructure, DevOps engineers focused on platform components based on Kubernetes

    • Balance technical leadership with people management: conduct 1:1s, performance reviews, and career development planning.

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

  • Infrastructure & Operations

    • Own the design, implementation, and maintenance of cloud infrastructure (AWS/GCP/Azure) and build for scale, resilience and security

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

    • Drive automation initiatives to eliminate toil and improve efficiency in infrastructure and developer workflows.

    • Oversee on-call operations, incident response, and root cause analysis, improving mean time to recovery (MTTR) and drive to key KPIs ( DORA or similar)
    •  
    • Manage cloud costs and drive architectures to manage and maintain cloud costs

  • DevOps & Platform Engineering

    • Build and maintain CI/CD pipelines to accelerate development velocity while ensuring security and compliance.

    • Develop and enforce Infrastructure-as-Code practices (Terraform, Pulumi, CloudFormation, Helm and Azure marketplace automation and deployments).

    • Drive observability: logging, monitoring, metrics, tracing, and alerting best practices.

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

  • Technical Strategy & Execution

    • Define long-term infrastructure strategy for scalability and cost optimization.

    • Introduce and evaluate emerging technologies, tools, and methodologies to continuously improve infra systems.

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

Qualifications

  • Experience
    • 10+ years of experience in Enterprise level SaaS,  Infrastructure, or DevOps roles, with at least 7+ years leading technical teams in a hands on capacity
    • Proven track record managing infrastructure at scale (multi-region, high-traffic, high-availability systems).
    • Deep hands-on expertise in cloud platforms (AWS, GCP, or Azure), Kubernetes, containerization, and orchestration with deep understanding on how they work technically
    • Strong background in CI,Github actions, automation frameworks, and developer productivity tooling.
    • Strong understanding of distributed systems in production based on Kubernetes deployments 
    •  
  • Technical Skills
    • Deep cloud experience in GCP, Azure or AWS ( GCP preferred )
    • Deep 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).
    • Knowledge of databases (SQL/NoSQL), caching systems, and data pipelines from an infra perspective.
    • Familiar with compliance frameworks (SOC2, ISO, HIPAA, PCI).

  • Leadership Skills
    • Demonstrated ability to lead by example and remain hands-on while guiding a team.
    • Skilled at 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.
  • Must be Able to:
    • Come into the San Francisco office 2-3 days per week

Nice-to-Haves

  • Prior experience in startups or hyper-growth environments and confidential computing platforms a huge plus
  • 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.

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