• Get up to speed on VDC workloads, dependencies, and operational workflows by reading code, docs, and working with SMEs. • Write and maintain runbooks, incident guides, and operational documentation. • Support knowledge transfer and contribute to onboarding materials for the team. • Participate in incident response including triage, investigation, mitigation, and postmortems. • Help implement and maintain SLIs, SLOs, and error budgets defined by the team. • Identify reliability issues during incidents or reviews and propose concrete improvements. • Support high availability and fault tolerance work on Azure, including Azure Government. • Close monitoring gaps by implementing instrumentation, alerting, and dashboards based on team standards. • Contribute to toil reduction through automation and tooling improvements. • Participate in on-call rotations. • Work with IaC, CI/CD pipelines, and deployment tooling in compliance-restricted environments. • Support testing, canary deployments, and release validation workflows. • Implement changes to infrastructure and configuration following established patterns and review processes. • Work with engineering, security, compliance, and operations teams to execute on reliability improvements. • Communicate clearly about system behavior, risk, and status — in writing and in meetings. • Raise blockers and gaps proactively; don't wait for problems to escalate.

Role Description We’re searching for a Senior DevOps Engineer to help scale and automate our cloud infrastructure, software delivery pipelines, and deployment processes across modern cloud-based environments. - Build, configure, and maintain production-grade Kubernetes environments from the ground up across cloud and hybrid infrastructure. - Develop, scale, and maintain robust Infrastructure as Code (IaC) pipelines, primarily leveraging Terraform to orchestrate cloud resources. - Automate and secure cloud infrastructure in Azure, AWS, or both. - Manage and optimize advanced Helm deployments and containerized workloads. - Implement and manage observability and alerting using the Prometheus/Grafana stack (Loki, Alloy, Tempo) to monitor platform performance and reliability. - Support database orchestration and optimization strategies (such as PITR for PostgreSQL or managing Apache Pinot and Cassandra) across environments. - Work closely with engineering teams to streamline software delivery and ensure seamless CI/CD processes. - Troubleshoot complex operational issues, mitigate infrastructure vulnerabilities, and enforce strict cloud security profiles. - Innovate and automate to generate business value. - Support and mentor junior DevOps team members. Qualifications - Minimum 5+ years’ experience in complex product environments. - Strong experience in DevOps, Cloud Engineering, or Platform Engineering. - A long history of Linux administration and engineering experience. - Proven track record of provisioning cloud infrastructure. - Hands-on experience building, administering, and maintaining Kubernetes clusters. - Deep experience with either AWS or Azure infrastructure, core cloud services, and secure networking. - Strong scripting capability in Bash, Python, or PowerShell. - The ability to read and comprehend segments of application code, such as Node.js or Java. - A solid understanding of cloud security, governance, and operational best practices (e.g., identity federation, workload identities). Requirements - Nice to have: Certified Kubernetes Administrator (CKA) or equivalent CNCF certification. - Experience in fintech or regulated environments. - Advanced Database Administration experience, including performance optimization, handling CDC artifacts, or deduplication strategies. - Experience with GitLab CI/CD. Company Description While the position is remote, we’re only able to proceed with candidates who already hold the legal right to live and work in South Africa.

• Execute installation, commissioning, startup, and infrastructure validation activities for modular data center deployments • Perform hands-on technical work across electrical, mechanical, controls/BAS, networking, and low-voltage systems • Execute deployment procedures, commissioning plans, operational readiness testing, and infrastructure validation processes • Conduct site assessments and maintain field documentation including commissioning reports, punch lists, and as-built updates • Ensure deployment activities are completed in accordance with Armada operational, engineering, and safety standards • Troubleshoot infrastructure issues across power, cooling, controls, monitoring, and network-connected systems • Read, interpret, and apply electrical schematics, mechanical drawings, and control diagrams during deployment and operational activities • Utilize field diagnostic tools and test equipment to identify and resolve infrastructure issues • Participate in root cause analysis and corrective action implementation during deployment and operational incidents • Exercise independent technical judgment while escalating high-risk or complex issues appropriately • Execute BMS, EPMS, and DCIM integration and validation activities • Support system startup, alarm validation, monitoring verification, and operational turnover processes • Verify infrastructure systems meet operational, performance, and quality requirements prior to deployment completion • Participate in incident response and operational recovery activities as required • Partner with Senior Deployment Engineers, Engineering, Manufacturing, Supply Chain, and Customer Operations teams during deployment execution • Coordinate field activities with vendors, subcontractors, and third-party service providers • Provide operational feedback and field observations that improve deployment quality, repeatability, and infrastructure reliability • Maintain clear communication with internal and external stakeholders throughout deployment activities

• Ensure the availability, reliability, and performance of high-traffic Java-based applications in a distributed environment • Troubleshoot and resolve complex issues across production and non-production environments • Participate in pre- and post-deployment performance testing and monitoring to continuously improve application performance • Design, build, and operate agentic AI workflows that automate operational tasks such as alert triage and root cause analysis