Senior Infrastructure and Cloud Engineer (Agentic Managed Services)

This role owns the day-to-day build and operation of the AMS platform’s cloud infrastructure - the foundation on which the AI agent fleet runs - working in close partnership with the infrastructure architecture lead. It is a hands-on role with end-to-end ownership of outcomes, using AI agents extensively for routine infrastructure work.

What You’ll Do

• Own daily build and operations of a Crossplane-based fleet control plane on Kubernetes (Amazon EKS): authoring compositions and custom resource definitions, and contributing to composition functions written in Go.

• Operate the CI-driven deployment model - GitHub Actions with OIDC-based cloud access - that applies desired state across the fleet.

• Apply AI agents to routine infrastructure work - provisioning, patching, drift remediation - and contribute improvements to the team’s shared agent tooling.

• Support deployment operations across single-tenant client environments: coordinated rollouts, version management, and telemetry under constrained network egress.

• Run the platform’s managed observability and secrets foundations: Amazon Managed Prometheus and Grafana, and External Secrets Operator backed by AWS Secrets Manager.

• Maintain infrastructure runbooks and roadmaps to the team’s documentation standards, escalating novel architecture decisions to the infrastructure lead., AI agents are central to how this team works. In this role, you will coordinate multi-step agent workflows as part of your daily work, drawing on and extending the team’s shared library of agent tooling, and reviewing agent-produced work by verifying evidence of correct behavior. Candidates should expect - and want - a working style in which AI multiplies their individual output several times over.

This team is built on two commitments: deep craft - in engineering, architecture, product, operations, or compliance - and genuine fluency in AI-assisted ways of working. If you are excited by what your discipline becomes when AI agents handle the routine, we would like to meet you.

7+ years in infrastructure or platform engineering with strong software engineering fundamentals (Go, Python, or TypeScript).

• Production experience with Kubernetes and control-plane-based infrastructure management (Crossplane or similar).

• Deep AWS experience, including workload identity (IRSA / OIDC federation) and operating under a no-static-credentials posture.

• Real-world experience applying AI agents to infrastructure workflows beyond code completion.

• Strong operational judgment: knowing when to automate, when to escalate, and when to halt a rollout.

What Sets You Apart

• Deep Crossplane experience: compositions, XRDs, providers, and composition functions in Go.

• Experience deploying into customer-owned cloud accounts or network-restricted environments.

• Software supply-chain security experience: image signing, provenance attestation, and admission policy enforcement.

What sets us apart? We believe work should be challenging and fulfilling, not perfect, but possible. That’s why we prioritize purpose, flexibility, connection, and recognition, so our people can thrive and love what they do, most days.

Compensation and Benefits

Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that includemeaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance.

Slalom is committed to fair and equitable compensation practices.For this role, the targeted base salary pay range for the Senior Principal level is $165,000 to $201,000. In addition, individuals may be eligible for an annual discretionary bonus.Actual compensation will depend upon an individual’s skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.

We will accept applicants until September 2nd 2026 or until the position is filled.

The Agentic Managed Services (AMS) Group at Slalom is redefining how technology managed services are delivered - combining an AI-agent platform, experienced engineers, and global operations to run critical systems for enterprise clients. The AMS Product Engineering team designs and builds the platform at the center of this model, used by Slalom teams and enterprise clients around the world. It is a small, senior team that moves quickly, holds a high technical bar, and scales its impact through automation and AI rather than team size., Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries partner with clients to co-create powerful customer experiences, modern ways of working, and meaningful impact., Schweitzer Engineering Laboratories Pullman, Washington $97,700.00 - $144,400.00 per year Engineering 1 minute ago Lead Process Engineer Schweitzer Engineering Laboratories Pullman, Washington $115,300.00 - $150,000.00 per year