• Architect, implement, and maintain GitLab CI/CD pipelines supporting automated build, test, and deployment workflows. • Develop reusable GitLab pipeline templates and integrate automated security scanning, artifact management, and quality gates. • Continuously improve pipeline performance, reliability, and maintainability. • Build and optimize Docker or Docker-equivalent (OCI-compatible) container images for development, testing, and production workloads. • Manage container registries, image versioning, and security best practices. • Develop automated build environments using container-native tooling (Docker, Podman, Buildah, etc.). • Support Infrastructure-as-Code (IaC) workflows using Terraform, AWS CloudFormation, or AWS CDK. • Automate provisioning, configuration, and orchestration using tools such as Ansible. • Integrate build and release automation into cloud-hosted and hybrid environments. • Troubleshoot CI/CD issues, container build problems, and environment inconsistencies. • Provide expert support to software teams during build failures and deployment troubleshooting. • Maintain accurate, high-quality documentation of pipelines, container standards, and automation patterns. • Work across engineering teams to implement DevOps best practices. • Participate in Agile ceremonies including planning, daily standups, and retrospectives. • Recommend process improvements and automation enhancements to increase delivery velocity.

• 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.