Senior Cloud Architect

About GAINS

GAINS is on a mission to make supply chains smarter, faster, and self-improving, powered by AI. Our decision intelligence platform doesn't just support decisions, it drives them by aligning strategy, planning, and execution across every level of the supply chain. We serve inventory‑intensive industries where the stakes are high and the complexity is real, helping customers move from reactive, spreadsheet‑driven planning to continuously learning, AI‑led operations that deliver measurable results fast.

At GAINS, we call it Moving Forward Faster—and it's not a tagline, it's how we're redefining what's possible in driving supply chain decisions.

We're looking for a Senior Cloud Architect who thrives at the intersection of cloud infrastructure, Dev Ops engineering, and developer experience. This is a hands‑on IC role with broad influence - you'll own the evolution of our deployment pipelines, drive automation across roughly 100 single‑tenant customer environments, and partner directly with engineering teams to make shipping software faster, safer, and more repeatable.

This isn't a purely advisory role. You'll be expected to write Terraform, contribute to CI/CD pipelines, and where it makes sense, submit PRs to application code to enable better automation. You'll work across three distinct deployment targets: a single‑tenant Java application running on Linux, and two multi‑tenant SaaS applications (Python and .NET), each with their own pipeline and operational needs.

• Eliminate manual deployment steps - audit current deployment processes across all three product lines and systematically replace manual steps with automated, repeatable pipelines
• Accelerate developer feedback loops - optimize test execution in CI pipelines to reduce time‑to‑feedback; identify flaky, redundant, or poorly sequenced tests and work with teams to fix them
• Expand and mature our IaC footprint - build on an existing Terraform foundation to bring more of our Azure infrastructure under code, with a focus on consistency across ~100 customer environments
• Fleet automation for single‑tenant environments - design and implement tooling to manage, provision, update, and monitor a large number of per‑customer deployments at scale
• Establish pipeline standards - define and evangelize CI/CD best practices across Azure Dev Ops pipelines for dev, QA, and production environments
• Collaborate with engineering teams - work embedded with product engineers, contributing scripts and application‑level PRs that remove deployment friction and make services more automation‑friendly
• Drive observability and reliability - improve deployment monitoring, rollback capabilities, and environment consistency across the fleet

• 10+ years of experience in cloud architecture, Dev Ops, or infrastructure engineering
• Deep hands‑on experience with Azure (Azure Dev Ops, Azure Pipelines, AKS, App Services, or equivalent)
• Strong Infrastructure as Code skills
• Experience managing fleet‑scale deployments - automating operations across many environments, not just a handful
• Proficiency in scripting and automation (Bash, Python, or Power Shell) and comfort contributing to application codebases (Java, Python, or .NET)
• Solid understanding of CI/CD pipeline design - parallelization, test optimization, artifact management, environment promotion strategies
• Experience with Linux server administration and deploying Java‑based applications
• A track record of working cross‑functionally - influencing engineering teams through collaboration, documentation, and leading by example rather than by mandate
• Comfortable leveraging AI tools to accelerate productivity without sacrificing code quality or operational rigor

• Azure architect certifications in the AZ‑30X track
• Experience with containerization (Docker, Kubernetes) and migrating workloads toward container‑based deployments
• Familiarity with PostgreSQL or SQL Server in cloud‑hosted environments
• Experience with Kafka or other event‑driven infrastructure
• Background supporting both single‑tenant and multi‑tenant SaaS architectures simultaneously

• Work on software that leverages AI and ML to solve real logistics challenges for customers
• Direct impact on developer experience across the entire engineering org
• Collaborative, low‑bureaucracy environment where engineers own their work end‑to‑end
• Competitive compensation and benefits