• Assist in building, implementing, and operating services in Microsoft Azure • Support ensuring smooth operation and continuous monitoring of our services • Help adjust and optimize our cloud environments for current workloads • Participate in automating recurring cloud processes • Support responsible account management in compliance with GDPR • Work closely with our development and testing teams to continuously improve our products

• Reliability Engineering: Ensure the stability, scalability, and security of our cloud infrastructure, Partly & 3rd party applications in our Kubernetes powered clusters. Leverage Infrastructure-as-Code and automation (Terraform for GCP, GitOps with ArgoCD, Custom scripts in Python/Bash, etc.) to deploy and manage workloads and resources in a repeatable, automated way. • Cost Optimisation: Monitor and optimise costs across our cloud and on-prem infrastructure, ensuring we get maximum value from our investments. Make recommendations for resource allocation or architecture changes to improve cost-efficiency without sacrificing reliability or performance. • Cross-Functional Collaboration: Work closely with developers, data engineers, and leadership to plan infrastructure needs and improvements. Provide tooling, guidance and training to the engineering team on SRE practices, and collaborate during software delivery to ensure smooth integrations from code to production. • Software Engineering: Make sure our software meets high production readiness standards. When you see a problem or an opportunity to improve, you drive the solution. • Troubleshooting: participate in incidents resolutions, give developers helping hand in debugging applications, networks, databases, compute systems.

• Own infrastructure deployment, monitoring, and scaling across AWS, GCP, or Azure. • Build and maintain CI/CD pipelines, containerized environments (Docker, Kubernetes), and automated deployment flows. • Design isolated multi-tenant environments for enterprise customers. • Implement and manage infrastructure monitoring, alerting, and performance dashboards. • Lead initiatives in data protection, encryption, and threat detection. • Manage infrastructure as code (Terraform, Ansible) to ensure reproducibility and version control. • Partner with engineering to plan and execute a migration toward a more efficient, secure cloud architecture. • Support ongoing security reviews, compliance efforts, and audits.

• Own the entire Laboratory Operations Software release process execution, ensuring smooth and timely software releases with minimal downtime. • Continuously monitor the effectiveness of the release process and implement improvements to increase efficiency, reduce errors, and enhance overall quality. • Act as an internal consultant and subject matter expert, coaching individual product teams on best-in-class DevOps practices, including infrastructure-as-code (IaC), monitoring, logging, and security integration. • Embed with development teams to assess and improve DevOps maturity, delivery practices, and operational readiness. • Design and implement a variety of projects to support extreme growth of complexity of applications as well as to enable innovation. • Provide hands-on guidance in CI/CD, cloud infrastructure usage, Kubernetes operations, and observability. • Help teams adopt existing infrastructure, platforms, and tooling provided by central Cloud / Platform teams. • Promote and reinforce technical standards, guardrails, and best practices that allow teams to operate autonomously while remaining compliant and secure. • Guide teams in applying organizational expectations around reliability, security, and cost management through automation rather than manual controls. • Serve as a feedback channel to central platform and cloud teams, sharing adoption challenges and improvement opportunities. • Continuously improve and automate infrastructure provisioning, configuration management, application deployment, and testing using tools like Terraform, Kubernetes and CI/CD. • Advocate for automation-first approaches to reduce operational toil and risk. • Partner with teams to define and implement Service Level Indicators (SLIs), Service Level Objectives (SLOs), and operational dashboards for their services. • Guide teams through incident response, post-incident reviews, and reliability improvements. • Identify systemic reliability issues and escalate platform-level concerns to the appropriate owning teams. • Drive capacity planning and performance tuning activities to ensure scalability and efficiency. • Provide expert-level support for complex infrastructure and deployment issues escalated by the product teams. • Assist teams in root cause analysis and long-term remediation. • Create and maintain clear documentation, runbooks, release process, CI/CD pipelines, and regression testing procedures. • Maintain comprehensive documentation of the release process, CI/CD pipelines, and regression testing procedures. • Share best practices and lessons learned across teams to raise overall DevOps maturity.