Cloud DevOps Engineer

White Tower Software is a collection of skilled, curious problem-solvers obsessed with helping businesses advance and expand through technology. From customer-facing products and enterprise-grade platforms to data engineering, machine learning, and AI, we partner with our clients to deliver real business transformation — where humans lead and AI multiplies.

We're seeking a qualified Cloud DevOps Engineer ready to do the best work of their career. You'll join a small, agile pod of cross-disciplinary experts who collaborate closely, move fast, and own the outcomes for our growing base of first-class business clients. We look for people who insist on high standards, earn trust through what they deliver, and stay relentlessly customer-centric — listening, inventing, and personalizing for every client. Bring proactive communication, a passion for quality, and a hands-on, AI-first mindset.

• Design, build, and operate CI/CD pipelines (Github Actions, Azure DevOps, or equivalent) for reliable, repeatable delivery.
• Provision and manage cloud infrastructure as code (Terraform, Bicep/ARM, or CloudFormation) with versioning, peer review, and automated promotion across environments.
• Design and provision identity and access management (IAM) — RBAC role provisioning, least-privilege access, and directory integration (Azure AD / Entra ID, or equivalent).
• Architect secure network topologies — Virtual Private Networks (VPNs), VNets/VPCs, private endpoints, and zero trust access controls.
• Build and operate infrastructure that supports big data workloads and pipelines at scale.
• Practice chaos engineering to validate resilience, harden failure modes, and improve reliability.
• Continuously optimize cloud cost — right-sizing, autoscaling, reserved/spot capacity, and FinOps practices that cut waste without sacrificing reliability.
• Establish cost visibility and accountability — resource tagging, budgets, alerts, showback/chargeback, and regular cost reviews with engineering and stakeholders.
• Profile, benchmark, and tune workloads — identify bottlenecks and optimize compute, storage, and network for latency, throughput, and scale.
• Automate environment provisioning, configuration, secrets management, and release processes end to end.
• Build observability into the platform: monitoring, alerting, logging, and dashboards.
• Harden pipelines and infrastructure with SecDevOps practices — scanning, least privilege, and policy as code.
• Use state of the art AI tooling to accelerate automation, delivery, and operational insight.

• Strong, demonstrable hands-on Cloud DevOps experience — Azure preferred, but AWS or GCP expertise is welcome and transferable.
• Hands-on experience with CI/CD pipelines (Azure DevOps, GitHub Actions, GitLab CI, or similar).
• Proven experience with Infrastructure as Code in production — Terraform, Bicep/ARM, or CloudFormation.
• Solid experience with IAM and RBAC role provisioning (least privilege, directory integration).
• Hands-on experience designing secure networking — VPNs, VNets/VPCs, and private endpoints.
• Working knowledge of zero trust architecture principles.
• Experience supporting big data platforms and pipelines (e.g. Spark, Databricks, data lakes, streaming).
• Exposure to chaos engineering / resilience testing.
• Demonstrable track record in cloud cost optimization — right-sizing, autoscaling, reserved/spot/savings plans, and waste elimination with measurable savings.
• Strong performance engineering skills — profiling, benchmarking, load testing, and tuning compute, storage, and network for latency and throughput.
• Experience with FinOps tooling and cloud cost management (Azure Cost Management, AWS Cost Explorer, or similar).
• Scripting and automation skills (PowerShell, Bash, or Python).
• Experience with containers and orchestration (Docker, Kubernetes / AKS / EKS / GKE).
• Proficiency with monitoring and observability tooling.
• Demonstrable experience using Git and its workflows.
• Hands-on AI practitioner.

Must be very proactive in communication.