/LLMOps workflows. Collaborate with Data Scientists to deploy, serve, and monitor LLMs in real-time and batch environments using Amazon SageMaker, Bedrock Implement Infrastructure-as-Code with AWS CDK, CloudFormation to provision and manage cloud environments. Build and maintain CI/CD pipelines using GitHub Actions, AWS CodePipeline, CodeBuild, Jenkins. Integrate monitoring and … observability tools such as AWS CloudWatch, Prometheus, Grafana for infrastructure and model health tracking. Ensure software quality through Test-Driven Development (TDD), unit testing frameworks (e.g., pytest, unittest), and automated integration tests. Conduct regular code reviews, participate in pair programming, and advocate for clean code, modular design, and maintainable architecture. Collaborate with architects and stakeholders to design high … level system architecture for cloud-first, AI-integrated products. Enforce security best practices (IAM, encryption, VPC configuration, audit logging) using AWS native services and third-party tools. Embed security throughout the software development lifecycle by integrating static and dynamic code analysis, vulnerability scanning, and policy-as-code tools into CI/CD pipelines-ensuring DevSecOps principles are applied More ❯
of software development life cycle ideally with Java or Go based development teams Proven experience with tools such as Jenkins, Gitlab, SonarQube, Docker and platform like OpenShift, Kubernetes , AWS Infrastructure as Code experience with CloudFormation or Terraform Passionate to improve developer experience by leveraging latest tools, technologies and industry trends in DevOps landscape Some other highly … include: An automation mind-set An exposure to test automation, test driven development (TDD) and agile delivery practices Understanding of monitoring and observability tools such as AppDynamics, ELK, AWS CloudWatch, AWS XRay etc Strong communication, verbally and in writing, able to tailor messages appropriately to the audience You may be assessed on the key critical skills More ❯
a passion for using technology to solve business problems, working in partnership with our clients to help in achieving their goals. About the role: We're hiring an AWS DevOps Engineer to join our team on a permanent basis, supporting the evolution of critical systems across our client base. This isn't your typical cloud-native DevOps role. … using lift-and-shift methods, but with a modern DevOps mindset. Your focus will be on automating deployment and configuration at the application level, working alongside our existing AWS infrastructure specialists. This is a delivery-focused engineering role - ideal for someone who likes to build, script, and configure, rather than design architecture from scratch. As the AWS DevOps Engineer, you will be: Automating the deployment and support of AWS-hosted environments. Using tools such as Ansible, Puppet, Chef, or Chocolatey for application-level configuration management. Writing scripts and pipelines to support lift-and-shift deployments and prepare environments for future use. Supporting monitoring and observability using tools like Splunk, Cloudability, Wiz, AWSMore ❯
bring: Development experience in scripting language such as Python Experience using React, React Testing Library, and React Query Experience with cloud platforms, infrastructure as code using Terraform or CloudFormation Experience in using CI/CD pipelines, preferably in GitLab, GitHub, or similar Bonus points for: Familiarity with Generative AI, Agentic (LangGraph for extra points) Experience in distributed systems … including integration methods using REST APIs or KAFKA Experience with cloud platforms (AWS, OpenShift) Hands-on Microservices You may be assessed on key critical skills relevant for success in role, such as risk and controls, communication skills, interaction with a diverse range of stakeholders, as well as job-specific technical skills. This role can be based in either More ❯
