Associate Tech Lead, DevOps
London Stock Exchange Group2 hours ago
Colombo, Sri LankaSenior
Responsibilities
- Design, build, operate, and improve CI/CD pipelines for backend, data, machine learning, AI, and containerised services.
- Implement and maintain infrastructure-as-code and reusable environment orchestration across development, test, and production environments.
- Deploy, operate, scale, and troubleshoot Kubernetes and AWS EKS workloads, including worker nodes, resources, and deployment patterns.
- Establish observability through logging, metrics, tracing, dashboards, alerting, and operational health monitoring.
- Support operational readiness through runbooks, support models, incident response, post-incident improvements, and recovery paths.
- Design and support AWS serverless and event-driven architectures using services such as Lambda, S3, SQS, API Gateway, DynamoDB, IAM, Secrets Manager, and Step Functions.
- Collaborate with ML and AI engineers on model packaging, deployment, versioning, inference services, monitoring hooks, and retraining workflows.
- Embed security, compliance, auditability, policy, vulnerability scanning, and cost controls into pipelines and infrastructure.
- Contribute to platform documentation, engineering standards, reusable templates, planning, reviews, and retrospectives.
Requirements
- 5–6 years of experience in DevOps or Platform Engineering roles.
- Experience designing and operating CI/CD pipelines, preferably with GitLab CI/CD, for backend, data, ML, and containerised services.
- Practical infrastructure-as-code experience, preferably with Terraform, plus exposure to Terragrunt or reusable environment orchestration.
- Strong understanding of Linux, networking, and AWS cloud environments.
- Experience with production monitoring, logging, tracing, dashboards, and alerting using tools such as OpenTelemetry, DataDog, Grafana/Prometheus, Sentry, or PagerDuty.
- Strong hands-on experience deploying, operating, and troubleshooting containerised workloads on Kubernetes, preferably AWS EKS.
- Experience with AWS serverless and event-driven services including Lambda, S3, SQS, API Gateway, IAM, and Secrets Manager.
- Ability to collaborate with ML and AI engineers on production workloads.
- Preferred experience with MLOps patterns, SageMaker endpoints, containerised inference services, AWS Bedrock, ML platforms, data pipelines, secure cloud engineering, regulated or high-reliability environments, GitOps, and security or infrastructure scanning tools.
- Preferred experience with Spark, Semgrep, Trivy, Checkov, Open Policy Agent, TFLint, Infracost, GuardDuty, AWS ECR, Artifactory, Flux, or Argo CD.
Benefits
- Hybrid workstyle with three days in the office.
- Standard UK Shift of 12:30 PM to 9:30 PM Sri Lankan Time.
- Healthcare, retirement planning, paid volunteering days, and wellbeing initiatives.
- Opportunities for hands-on ownership, professional growth, and collaboration with data, ML, and AI engineering teams.
- Equal-opportunity workplace with reasonable accommodations for religious practices, mental health, and physical disability needs.
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