Senior DevOps Engineer
(AWS, Azure, or GCP)

Job Description

We are looking for a full-time, remote Senior DevOps Engineer with 5+ years of experience of cloud and DevOps experience to join the core team of our U.S. client. In this role, you will work on both our client’s and their clients’ software products bridging the gap between development and operations. You will do so by leveraging your expertise in cloud technologies and DevOps principles to design, build, deploy, and manage cloud infrastructure and applications.

Our client is a venture studio that surrounds industry subject matter experts with senior technical talent to build AI-native software solving real-world problems as well as consulting services to propel software companies along their AI journey.

Responsibilities

  • Design, build, and maintain scalable cloud infrastructure and deployment pipelines
  • Develop and implement automated CI/CD workflows
  • Partner with engineering and data teams to operationalize AI/ML models, services, and applications in production environments
  • Establish best practices for infrastructure as code (IaC), observability, reliability, and security
  • Build frameworks and tooling to streamline feature release velocity while maintaining system stability and compliance
  • Evaluate and integrate emerging AI tooling (e.g., code generation, testing automation, AIOps) into DevOps workflows
  • Optimize cloud resource utilization and cost efficiency across distributed systems
  • Lead incident response, root cause analysis, and continuous improvement of system resilience
  • Advise on DevOps maturity, cloud architecture, and AI-enabled engineering practices

Experience

Required

  • Excellent English communication and teamwork skills
  • 5+ years of experience in DevOps, Cloud Engineering, or Site Reliability Engineering (SRE) roles
  • Strong expertise in cloud platforms (e.g., AWS, GCP, or Azure) and cloud-native architectures
  • Proven experience building and managing CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Jenkins, ArgoCD)
  • Deep knowledge of containerization and orchestration (e.g., Docker, Kubernetes)
  • Hands-on experience with Infrastructure as Code tools (e.g., Terraform, AWS CloudFormation)
  • Familiarity with AI-assisted development tools (e.g., GitHub Copilot, CodeWhisperer, LLM APIs) and their integration into workflows
  • Strong scripting/programming skills (e.g., Python, Bash)
  • Solid understanding of monitoring, logging, and observability tools (e.g., Prometheus, Grafana, Datadog)
  • Experience with security best practices in cloud and DevOps environments (e.g., IAM, secrets management, compliance)
  • Ability to design systems that balance delivery speed with reliability and governance
  • Strong communication skills with the ability to work across engineering, product, and executive stakeholders
  • Proven ability to stay self-motivated, work hard, own problems from start to finish, and deliver in a vibrant, fast-moving environment
  • Demonstrated ability to work independently or as part of a broader team.
  • Trustworthy, team-oriented, and transparent

Desired

  • University degree in a technical field
  • Experience with AWS

Additional Info

  • Knowing your ideas are heard and matter – think big!
  • You get to own your job and be recognized for your contributions
  • Work with smart and creative people
  • Making mistakes is human. Let’s learn from them. Be transparent!
  • We recognize you as an individual – no presumptions or judgment. Be the extraordinary you!
  • 15 days Paid Time Off (PTO), 1 floating day, 3 sick days, and designated national holidays
  • Start: ASAP

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