14 days ago
London, United KingdomSenior
Responsibilities
- Design, implement, and support secure, scalable AWS infrastructure and AI platforms using Terraform, GitHub Actions, Ansible, ECS/Fargate, and AWS services.
- Build and operationalize enterprise Generative AI solutions using Amazon Bedrock, LLMs, RAG pipelines, vector databases, embeddings, chunking strategies, workflow orchestration, and AI observability.
- Develop and maintain CI/CD pipelines, Infrastructure as Code, API integrations, cloud security, IAM governance, monitoring, logging, and production support.
- Configure Datadog observability dashboards, APM, log analytics, infrastructure monitoring, alerting, and operational health reporting.
- Design and implement API proxy workflows, authentication, routing, policies, transformations, and integrations.
- Collaborate with architects, developers, security teams, and business stakeholders to deliver secure, resilient, scalable, and cost-effective cloud and AI solutions.
Requirements
- Strong hands-on experience with AWS services including Amazon Bedrock, ECS/Fargate, Lambda, EC2, API Gateway, VPC, ALB, IAM, CloudWatch, S3, EFS, DynamoDB, and Neptune.
- Strong Infrastructure as Code and DevSecOps experience with Terraform, GitHub Actions, Ansible, Docker, CI/CD automation, security scanning, secrets management, monitoring, logging, and production support.
- Understanding of LLMOps concepts including LLMs, RAG, embeddings, chunking, vectorization, vector databases, semantic search, prompt engineering, DAG/LangGraph orchestration, AI guardrails, and model evaluation.
- Strong experience with API management platforms such as Amazon API Gateway, Kong, or Apigee.
- Strong Datadog or equivalent monitoring-platform experience covering dashboards, application monitoring, alerting, APM, log analytics, and performance troubleshooting.
- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
- Excellent communication, stakeholder management, and client-facing skills.
- Must currently reside in the United Kingdom, be available to start within four weeks of receiving an offer, and hold or be eligible to obtain UK Security Check (SC) clearance.
- Preferred experience includes Kubernetes/EKS, ServiceNow, Jira, GitHub Runners, CloudFormation, Route 53, WAF, EventBridge, Step Functions, serverless architectures, Python, AI data pipelines, prompt development, OpenSearch, LangChain/LangGraph, knowledge graphs, cloud networking, security practices, cost optimization, and enterprise production support.
Benefits
- Full-time hybrid role in London with 50% work from the client office.
- Candidates must be available to start within four weeks of receiving an offer.
- UK Security Check (SC) clearance is required or must be obtainable.
Tech Stack
Categories
About Cognizant
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value. We build full-stack AI solutions powered by deep industry, process and engineering expertise — embedding an organization's unique context into technology systems that amplify human potential and drive tangible outcomes. From strategy to deployment, we help global enterprises move from AI ambition to AI impact and stay ahead in a fast-changing world. See how at cognizant.ai | Follow us @cognizant