Associate Tech Lead, DevOps
London Stock Exchange Group2 months 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.
Tech Stack
Categories
About London Stock Exchange Group
London Stock Exchange Group (LSEG) provides market infrastructure, financial data, and analytics to banks, asset managers, and corporations. Its businesses span capital markets (London Stock Exchange), post-trade clearing (LCH), and information services including FTSE Russell indices and the Refinitiv data platform, funded by transaction fees, subscriptions, and licensing. Headquartered in London and publicly listed on the LSE, the group serves global customers seeking trading, clearing, benchmarks, and enterprise data solutions.