Methods is a £100M+ IT Services Consultancy who has partnered with a range of central government departments and agencies to transform the way the public sector operates in the UK. Established over 30 years ago and UK-based, we apply our skills in transformation, delivery, and collaboration from across the Methods Group, to create end-to-end business and technical solutions that are people-centred, safe, and designed for the future.

Our human touch sets us apart from other consultancies, system integrators and software houses - with people, technology, and data at the heart of who we are, we believe in creating value and sustainability through everything we do for our clients, staff, communities, and the planet.

We support our clients in the success of their projects while working collaboratively to share skill sets and solve problems. At Methods we have fun while working hard; we are not afraid of making mistakes and learning from them.

Methods was acquired by the Alten Group in early 2022.

The role is heavily AWS platform engineering focused. While Azure and DevSecOps experience are valuable, the day-to-day work is centred on designing, maintaining and improving AWS-hosted Identity platforms running on Kubernetes and ECS.

This is a hands on technical leadership role. You will be expected to lead by example, mentor engineers, influence technical decisions and own services throughout their lifecycle.

Core Technical Skills AWS Expected to have strong hands on experience across AWS services including:

• ECS
• EKS
• EC2
• IAM
• Auto Scaling Groups
• KMS
• CloudHSM
• Secrets Manager
• Systems Manager Parameter Store
• CloudWatch

This is an engineering role rather than an infrastructure administration role.

Infrastructure as Code Strong Terraform experience is expected.

This includes:

• Writing production-quality Terraform
• Creating and maintaining reusable Terraform modules
• Managing multiple environments using Terraform Workspaces
• Reviewing and improving existing modules
• Following engineering standards and code review practices

Kubernetes A high level of Kubernetes knowledge is expected.

Daily work includes:

• Deploying and operating applications on Amazon EKS
• Troubleshooting workloads
• Working with Deployments, Services, Ingress, ConfigMaps and Secrets
• Understanding RBAC
• Resource requests and limits
• Horizontal Pod Autoscaling
• Network Policies
• Kubernetes troubleshooting

Helm Helm is used extensively.

You will be expected to:

• Write Helm charts
• Maintain existing charts
• Build reusable templates
• Manage values across environments
• Debug Helm deployments

This is a core skill for the role.

ECS A significant amount of the estate still runs on ECS.

Expected knowledge includes:

• ECS Services
• Task Definitions
• Auto Scaling Groups
• Capacity Providers
• Deployment strategies
• Operational troubleshooting

The team owns the ECS platform.

Docker Almost every application is containerised.

Expected experience:

• Building images
• Writing Dockerfiles
• Multi stage builds
• Image optimisation
• Container troubleshooting

GitLab & CI/CD All source code is hosted in GitLab.

CI/CD is implemented using GitLab CI.

Expected experience includes:

• Writing GitLab CI pipelines
• Maintaining reusable pipeline fragments and templates
• Building and maintaining reusable CI/CD components
• Managing multi stage deployment pipelines across Development, Test, Stage and Production
• Pipeline troubleshooting
• Secure secret handling
• Build and deployment automation

Testing & Quality Engineering Testing is considered part of delivering a feature, not an optional activity.

Lead Engineers are expected to understand how to test infrastructure, platform code and applications, and to integrate those tests into automated delivery pipelines.

Expected experience includes:

• Writing and maintaining Terraform Tests
• Writing and maintaining Go based tests for Helm charts where appropriate
• Writing or extending application tests (for example Node.js unit or integration tests)
• Writing automated tests for Python tooling and applications using frameworks such as pytest
• Understanding test coverage and identifying gaps
• Integrating automated tests into GitLab CI pipelines
• Troubleshooting failing automated tests
• Building reusable testing stages within GitLab CI templates
• Running tests locally and within CI/CD pipelines
• Performance, load and stress testing using JMeter and k6
• Integrating performance testing into GitLab CI pipelines where appropriate
• Analysing performance test results and identifying bottlenecks
• Producing repeatable automated validation rather than relying on manual testing

Testing is expected to form part of the Definition of Done.

Identity & Security As an Identity programme, understanding authentication is important.

Expected knowledge includes:

• OAuth 2.0 flows
• OpenID Connect (OIDC)
• JWTs
• API authentication
• IAM
• Kubernetes RBAC

Knowledge of identity platforms and authentication patterns is highly desirable.

API Gateway The platform makes extensive use of Kong API Gateway.

Useful experience includes:

• Routing
• Authentication plugins
• OIDC integration
• Rate limiting
• Upstream configuration
• Troubleshooting gateway behaviour

Service Mesh Applications running on EKS use Istio.

Expected knowledge includes:

• Virtual Services
• Destination Rules
• Gateways
• mTLS
• Traffic routing
• Basic troubleshooting

Monitoring & Observability Current monitoring stack:

• Prometheus
• Grafana

The organisation is introducing Dynatrace, either alongside or as a future replacement.

Expected experience includes:

• Creating dashboards
• AlertingMetrics
• Performance troubleshooting
• Root cause analysis
• Monitoring production services

Technical Documentation Strong technical documentation is an expected part of the role.

You will be expected to:

• Produce clear Spike documentation covering the problem, investigation, options considered, recommendation and outcome
• Write implementation documentation for new features and architectural changes
• Maintain comprehensive README files for repositories, Terraform modules and Helm charts
• Produce operational runbooks
• Create support documentation
• Produce handover documentation where appropriate
• Record technical decisions and their reasoning
• Communicate ideas and proposals in a structured way
• Write high quality Jira stories, technical tasks and Spike tickets with clear acceptance criteria, implementation detail and expected outcomes

Good written communication is considered a core engineering skill.

Technical Ownership Lead Engineers are expected to take ownership of services rather than simply deliver individual pieces of work.

This includes:

• Owning services throughout their lifecycle, from design through to production support
• Understanding the wider platform and the impact of technical decisions
• Driving work forward with minimal supervision
• Identifying technical debt and proposing practical improvements
• Challenging designs where there are operational, security, resilience or scalability concerns
• Considering operational support as part of every solution
• Designing solutions that are maintainable by the wider engineering team
• Working across multiple repositories and services
• Being accountable for the quality of technical delivery
• Supporting incident investigation and root cause analysis through to completion

Agile Delivery & Ways of Working The team follows Agile delivery practices and Lead Engineers are expected to actively contribute to both technical delivery and the running of the team.

Expected experience includes:

• Working effectively within Agile delivery teams
• Participating in Sprint Planning, Sprint Reviews, Retrospectives and Daily Stand ups
• Leading Agile ceremonies when required, with all engineers taking turns facilitating stand ups, retrospectives and sprint planning
• Breaking down technical work into deliverable stories and tasks
• Writing high quality Jira stories, technical tasks and Spike investigations
• Producing clear acceptance criteria and technical implementation plans
• Contributing to backlog refinement by helping define technical requirements and identify dependencies
• Providing realistic estimates and identifying technical risks early
• Collaborating closely with Product Owners, Delivery Managers, Architects and other engineering teams
• Managing priorities while balancing feature delivery, technical debt, operational support and platform improvements
• Communicating progress, blockers and technical decisions clearly
• Promoting continuous improvement across engineering practices and delivery
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