• Design, implement, and maintain CI/CD pipelines. • Manage and optimize Azure infrastructure. • Collaborate with development teams to improve deployment workflows. • Plan, execute, and manage application deployments across development, staging, and production environments. • Work directly with clients to understand requirements, provide technical guidance, and resolve issues. • Prepare documentation and reports for internal teams and clients.

• Design, implement, and manage CI/CD pipelines using tools such as Jenkins, GitHub Actions, or Azure DevOps • Develop and maintain Infrastructure-as-Code using Terraform • Manage and scale container orchestration environments using Kubernetes, including experience with larger production-grade clusters • Ensure cloud infrastructure is optimized, secure, and monitored effectively • Collaborate with data science teams to support ML model deployment and operationalization • Implement MLOps best practices, including model versioning, deployment strategies (e.g., blue-green), monitoring (data drift, concept drift), and experiment tracking (e.g., MLflow) • Build and maintain automated ML pipelines to streamline model lifecycle management

• Work alongside DevOps and engineering teams to ensure our platforms, repositories and CI/CD pipelines are secure by default while remaining easy to build, test, and deploy against • Identify security risks through tools, audits, and monitoring, and drive them to resolution — whether that means changing a policy, updating infrastructure, or improving a pipeline • Take ownership of the security posture across multiple AWS accounts and continuously improve it over time • Design and maintain security guardrails around IAM, logging, monitoring, and encryption • Manage repository-level security scanning (SAST, dependency scanning, secrets detection) using tools such as Aikido or similar, and ensure findings are actionable • Support security and compliance initiatives (e.g., SOC 2, TX-RAMP, or similar) by implementing and maintaining required technical controls and automation, in partnership with a Security Analyst • Partner with DevOps teams to secure Kubernetes clusters, with a strong focus on Rancher • Improve security visibility through monitoring, logging, and reporting • Automate security controls and validations using Infrastructure as Code and scripting • Help document security standards, patterns, and operational runbooks

• We are seeking an experienced Site Reliability Engineer (SRE) with expertise in Infrastructure as Code tools like Terraform, core CI/CD tools such as Azure DevOps, and monitoring tools including DataDog and AWS CloudWatch. • The ideal candidate will have commercial experience in technologies like Dotnet or Java, and be skilled in troubleshooting, incident resolution, and improving service and change management processes. • Strong leadership in client-facing discussions and engagement with third-party suppliers is essential. • An SRE Foundation certificate and a cloud provider associate-level certification are highly beneficial.