Remote | DevOps Engineer; Kubernetes, AWS & Terraform

We are sharing a specialised full-time opportunity for experienced Cloud and Dev Ops Engineers with strong hands‑on expertise in Kubernetes operations, AWS infrastructure, Infrastructure-as-Code, and production CI/CD environments.

This role supports advanced infrastructure-focused technical work involving cloud systems, cluster operations, infrastructure automation, and deployment pipelines. Selected engineers will design and evaluate challenging technical tasks, diagnose production‑style infrastructure issues, develop rigorous solutions, and contribute expert feedback across Kubernetes, AWS, IaC, and Dev Ops workflows.

• Design and evaluate technically challenging Kubernetes infrastructure tasks
• Diagnose cluster failures and identify underlying configuration, networking, scheduling, resource, or service issues
• Develop technically accurate solutions to complex Kubernetes operational problems
• Review proposed remediation approaches for correctness and production feasibility
• Apply hands‑on operational judgement beyond basic manifest authoring or managed‑control‑plane usage

• Design and review infrastructure scenarios involving production AWS environments
• Evaluate integrations involving AWS Lambda, API Gateway, and DynamoDB
• Assess architecture, service configuration, dependencies, and operational considerations
• Identify technically incorrect assumptions or weak infrastructure designs
• Review solutions for scalability, reliability, and practical implementation quality

• Design and evaluate infrastructure automation using Terraform and/or AWS CDK
• Review IaC architecture, resource definitions, dependencies, and deployment approaches
• Assess maintainability, correctness, and operational safety of infrastructure definitions
• Identify configuration weaknesses and infrastructure automation risks
• Develop clear reference solutions for complex IaC scenarios

• Evaluate CI/CD pipeline designs and deployment workflows
• Review build, test, release, and deployment automation for technical soundness
• Assess pipeline dependencies, failure handling, and operational reliability
• Identify gaps in deployment logic, validation, or rollback planning
• Evaluate approaches for maintaining reliable delivery across production environments

• Design challenging, domain-relevant problems involving cloud infrastructure, Kubernetes, and automation
• Write accurate and well‑structured solutions to infrastructure engineering tasks
• Develop scenarios that test practical diagnostic and engineering judgement
• Ensure tasks reflect realistic production environments and engineering constraints
• Calibrate technical difficulty and expected solution quality

• Evaluate infrastructure engineering tasks and proposed solutions
• Assess technical work for correctness, completeness, and production readiness
• Identify infrastructure, architectural, automation, and reasoning errors
• Provide clear written technical feedback
• Distinguish substantive engineering failures from minor implementation differences

• Develop detailed evaluation frameworks for infrastructure engineering tasks
• Define criteria for cluster failure diagnosis, IaC design quality, and CI/CD reasoning
• Establish clear standards for technically correct and production‑appropriate solutions
• Apply evaluation criteria consistently across complex engineering scenarios
• Collaborate with other technical experts to maintain accuracy and consistency

• Help identify gaps in cloud infrastructure and Dev Ops reasoning
• Contribute expert knowledge across Kubernetes operations, AWS services, Infrastructure-as-Code, and deployment…