Staff/Senior Operations Engineer

Description

About CloudBees:

CloudBees helps organizations build, run, and govern software factories, giving enterprises the confidence to ship software better, faster, and safer.

Writing code is no longer the bottleneck. Governing what reaches production and validating its impact is. As enterprises adopt agentic coding, software is created faster than most teams can review, secure, and validate. Without consistent governance, organizations risk shipping code they cannot explain, audit, or trust.

CloudBees addresses this challenge without asking teams to replace the tools they already use. Across every toolchain a customer runs, CloudBees makes each change, human or AI, visible, auditable, and accountable before it reaches production. CloudBees Unify is the product behind this: a governance layer, with context and control-plane capabilities, that enforces consistent policy and evidence across every tool, team, and workflow.

Founded in 2010, CloudBees is backed by Goldman Sachs, Morgan Stanley, Bridgepoint Capital, HSBC, Golub Capital, Delta-v Capital, Matrix Partners, and Lightspeed Venture Partners.

Visit us at www.cloudbees.com .

About the Role:

To support the delivery of CloudBees products (both internal and external), our Operations team designs, deploys, secures and manages a variety of software systems and the related GCP / AWS infrastructure that underpins these software engineering objectives. Our guiding principle is simple - “Make Engineering Faster”. Underpinning this are the challenges of security, process change, technical change that all must be met to varying degrees. Further, we are passionate about reducing the manual work that plagues IT teams - Engineering / Ops / Support / Security - and are empowered to re-engineer processes and technology to achieve those objectives.

We are looking for someone who:

• •Is able to troubleshoot complex issues calmly.
• •An open communicator, capable of bringing new ideas to the team
• •Is able to learn from colleagues at all levels
• •Understands, and is motivated by, rapidly changing technologies and has demonstrable competence with modern AI tools.

You are:

• •self-motivated and enjoy solving problems
• •excited by the opportunity to automate yourself out of recurring workable to self-organize and document your work and decisions effectively
• •You will liaise directly with the software engineers across all teams, ensuring that decisions are agreed internally and externally to Operations and that they meet our technical and non-technical objectives.

How you’ll work:

• •In a geographically distributed team (APAC, US, EMEA) of peers
• •Choose your own work in tandem with the team, team-leader, and manager
• •Flexible working hours - while there will be some core hours required for meeting with Engineering and Operations teams - much latitude is given in getting work done.
• •Hybrid work based out of our Chennai hub

Requirements

What you’ll Do:

Team-building - inside the team and across teams - you’ll be proposing new ideas and helping implement them Thinking - coming up with new ways of solving problems - and working with the team to prove them out and then implement them. Keeping up to speed with the latest technology, and proactively making use of tools like coding assistants and AI agents to accelerate your work. Documenting - describing problems, how your proposed solution solves those problems, and how your implemented solutions are operated. Optimizing - working with Engineering teams to optimize their build systems. Managing and developing tools which enable Engineers to ship faster. Defining - writing / modifying Terraform to handle our infrastructure, and helping teams define their infrastructure using our modules. Coding - you’ll be writing code in Golang - we occasionally write code in TypeScript, Python, and Groovy Securing

• •working with our security team to drive operational change in engineering teams
• •working with our security team to drive organizational security changes (logging, auditing, monitoring, alerting)

Observing - adding the right monitoring so that we are alerted before our customers notice, and not alerted when the system is able to heal itself Alerting - getting alerts and working with team members to solve the initial problem, documenting the problem and then working out how to stop them happening again DevOps / DevSecOps - We’re not “DevOps” engineers, but we do help our teams become more proficient in doing Dev and Ops (and embracing Total Ownership). We build the guard rails to help them do it safely and align tech-stacks across the company. What you will work on -

• •IaaS - GCP, AWS
• •AI tooling and automation - Claude Code, Codex, AWS Bedrock Agentcore, Software Factories
• •Platform tools - Kubernetes, terraform, helm, docker
• •Language tools - Golang
• •Engineering tools - Jenkins, Backstage
• •Operations tools - PagerDuty, DataDog

Role Requirements:

• •Bachelor's or Master's degree in computer science or related field
• •8+ years working in a DevOps style environment - building automations, writing software, solving problems
• •2+ years working in AWS (preferred) or GCP
• •2+ years experience in a high level programming language (Golang / Python / Ruby / Java or similar)
• •Experience of working asynchronously in a distributed team.
• •Experience of contributing to your team’s technical strategy
• •Strong self organization skills and communication skills

You have experience in:

• •programming in various languages and domains
• •Development with agentic AI and administration of tools
• •the "modern Ops stack" (e.g. monitoring, alerting, cloud-based provisioning, Docker, Kubernetes)
• •Linux systems administration
• •cloud-based operations (GCP, AWS, or Azure)
• •cluster orchestration and management tools (e.g. k8s / ECS / Terraform / etc)
• •continuous integration / continuous delivery tools (Jenkins / Tekton etc)
• •modern software engineering practices: code reviews, unit / acceptance testing, source control, etc.
• •You have experience using work tools like GSuite, GitHub, Jira, Confluence, and Slack.
• •Experience of managing and responding to production incidents