Lead DevOps Engineer
Indexed description
The infrastructure behind all of this needs to be as resilient and sharp as the intelligence it delivers. We're looking for a Lead DevOps Engineer to own and evolve our DevOps practices. This is a role for someone who combines deep technical ability with a genuine passion for growing the team. You'll lead a team of DevOps engineers while staying close to the technical work, setting direction on infrastructure, automation, and reliability.
The Impact You Will Have
As a Lead DevOps Engineer at Elliptic, you will have a deep impact across the company by championing DevOps, security, and reliability principles. You’ll help build a culture of automation, efficiency, and continuous improvement, empowering teams to deliver secure, high-quality software with confidence. You’ll work alongside experienced and passionate engineers who enjoy solving tough challenges and learning from one another. This is a hands-on team Lead role where you will balance technical expertise with team leadership.
What You Will Do
- Own the DevOps and Platform roadmap, defining the automation, scaling, and multi-tenant Kubernetes-based Internal Developer Platform (IDP).
- Lead by doing - engineer, review, and enhance Kubernetes and CNCF-aligned infrastructure, setting technical standards.
- Architect multi-cluster, multi-region environments using Istio/Linkerd, Cluster API, and Kyverno.
- Build progressive delivery frameworks with Flux and Flagger for GitOps-driven, canary, and automated releases.
- Implement modern provisioning with controllers like Crossplane and ACK for Kubernetes-native cloud integration.
- Define and enforce Zero Trust architecture with Vault, Boundary, service identity, and mTLS-secured meshes.
- Engineer policy-driven automation and compliance using OPA, Kyverno, and secure supply chain configurations.
- Establish IaC and GitOps standards, adding automated testing to every infrastructure change.
- Prototype agentic infrastructure components, including deployment and observability platforms in service meshes.
- Design AI Gateways and Registries for traffic and event routing between microservices and autonomous agents via CNCF Gateway APIs.
- Champion DevSecOps maturity by embedding SAST/DAST, chaos engineering, and error budget monitoring.
- Collaborate with Security, Data, and AI teams to shape DevOps and AI platform architectures with regulatory compliance.
- Stay ahead of CNCF and AI ecosystem innovations, from eBPF observability to agent-aware orchestration.
Core Expertise
- Experience leading or mentoring engineering teams with the ability to set direction and contribute hands-on.
- Strong Kubernetes knowledge, including cluster lifecycle management, API extensions, Operators, Helm, and the broader CNCF ecosystem (Cilium, ExternalDNS, Kyverno, Gatekeeper).
- Designing and operating multi-cluster, multi-region Kubernetes platforms with service meshes such as Istio, Consul, or Linkerd and policy-based workload placement.
- Writing Infrastructure-as-Code with Terraform on AWS or GCP using modular design, GitOps integration, and automated testing (Terratest, InSpec).
- Implementing GitOps pipelines with ArgoCD or FluxCD for progressive delivery, drift correction, and multi-environment releases.
- Building containerized, serverless, or event-driven systems with strong observability using DataDog, Splunk, or OpenTelemetry.
- Strengthening platform security through Vault-based secret management, least privilege access, and compliance automation.
- Designing CI/CD workflows that include SAST, DAST, policy enforcement, and performance telemetry.
- Improving reliability and resilience through SLOs, error budgets, and chaos engineering.
- Are passionate about building secure, scalable, and reliable systems and helping others do the same.
- Have a strong customer and product mindset.
- Take ownership and make thoughtful, data-informed decisions.
- Enjoy building high-performing, inclusive, and autonomous teams.
- Align technical leadership with business outcomes.
- Collaborate openly and continuously seek to learn and grow.
- Leading platform modernisation or reliability initiatives in scale-up or regulated environments.
- Experience with Operator development, CRD automation, eBPF, or Cilium for observability.
- Expertise in policy-as-code using OPA or Kyverno within secure supply chain or CSPM frameworks.
- Exposure to AI-driven internal developer platforms or predictive observability using AI or LLMs.
- Experience designing agentic or autonomous infrastructures with observability for AI agents.
- Familiarity with MCP and A2A orchestration patterns in Kubernetes service mesh environments.
- Understanding of Agent Gateways and Registries connecting microservices and AI agents.
- Background in secure containers, sandboxing, or confidential computing for regulated workloads.
- Experience with data-intensive systems such as Spark, Databricks, or Data Mesh.
- Programming experience in Go, Python, or TypeScript.
- Contributions to open-source or CNCF community projects.
- Hybrid working and the option to work from almost anywhere for up to 90 days per year
- £500 Remote working budget to set up your home office space
- $1,000 Learning & Development budget to use on anything (agreed with your manager) that contributes to your growth and development
- Holidays: 25 days of annual leave + bank holidays
- An extra day for your birthday
- Enhanced parental leave: we provide eligible employees, regardless of gender or whether they become a parent by birth or adoption, 16 weeks fully-paid leave and leave.
- Private Health Insurance - we use Vitality!
- Full access to Spill Mental Health Support
- Life Assurance: we hope you will never need this - but our cover is for 4 times your salary to your beneficiaries
- Cycle to Work Scheme
Create a free Caio profile to unlock more results and save your role and location preferences.
Unlock free search