Senior Platform Engineer

About this role

Who we are:
MHC is a global provider of AI-powered SaaS solutions for document, communication, and payment automation - purpose-built for highly regulated industries. We simplify complexity and unlock intelligence so organizations can deliver exceptional experiences with confidence.
Our platform helps enterprise and mid-market organizations improve efficiency, ensure compliance, and modernize customer communications at scale. Customers use MHC solutions to generate more than 10 billion documents and process billions in AP payments annually. Recognized as a Leader in multiple G2 reports and featured in analyst reports from Gartner, IDC, Aspire, and Aragon, MHC is built for organizations that can't afford to get it wrong.
People are at the center of everything we do - for our customers and within our own walls. MHC supports a flexible, work-where-you-live model, and for five consecutive years has been named one of Minnesota's Top Workplaces by the Star Tribune, based entirely on employee feedback. We are a team driven to grow, committed to being better than yesterday, and stronger together. We earn trust every day with our customers, our partners, and each other. We experiment boldly, and when our customers win, we win.
For more information, visit mhcautomation.com.
Who we are looking for:
A motivated and technically skilled Senior Platform Engineer to join our growing Technology Operations team. The ideal candidate has hands-on experience building and maintaining cloud infrastructure, CI/CD pipelines, and developer tooling. You thrive in a collaborative environment, take pride in clean automation, and are passionate about improving the development experience for the engineering teams you support.
As MHC continues to adopt AI-assisted and autonomous agentic development practices, this role will play a key part in ensuring our platform is ready to support the full SDLC and emerging AI development lifecycle (AIDLC) safely, at scale, and without friction.
What you will get to do:
Platform & Infrastructure:

• Build, deploy, and maintain infrastructure automation solutions for development, testing, and production environments using Terraform and related IaC tooling.

• Design and provision reliable cloud resources across AWS and Azure, including compute, networking, and storage.

• Manage and operate Kubernetes clusters and containerized workloads using Docker and Helm charts.

• Build and maintain networking fundamentals including DNS, load balancing, and firewall configurations.

• Support troubleshooting across scalability, high availability, performance, backup, and restore scenarios.

• Assist with cloud cost monitoring and identify optimization opportunities across AWS and Azure environments.

CI/CD & GitOps:

• Support and improve CI/CD pipelines in Azure DevOps, including YAML pipelines, self-hosted agent pools, and service integrations.

• Implement and maintain GitOps workflows using ArgoCD or Flux, managing desired state through version control.

• Develop and maintain reusable pipeline templates and shared workflow libraries so application teams aren’t reinventing the wheel for every service.

• Collaborate with engineering teams to plan and execute releases and patches.

Developer Experience & Internal Tooling:

• Contribute to self-service developer tooling and internal platform capabilities that reduce friction and ticket-driven workflows for engineering teams.

• Help define and maintain “Golden Path” templates — standardized, pre-approved workflows for common tasks like deploying a new service or provisioning a database.

• Gather developer feedback and iterate on platform tooling to measurably improve engineering velocity.

• Create and maintain clear documentation for platform capabilities and self-service processes.

SDLC & Agentic AI Development Support:

• Support the end-to-end software development lifecycle (SDLC) from planning and coding through testing, review, deployment, and operations by ensuring platform infrastructure is purpose-built to accelerate each stage.

• Build and maintain platform capabilities that support the AI-assisted development lifecycle (AIDLC), including infrastructure and runtime environments that enable autonomous agentic coding tools to operate safely within engineering workflows.

• Provision and manage compute environments, access controls, and sandboxed execution contexts for agentic development tools (e.g., Claude Code, Cursor, or similar), ensuring they can run autonomously without compromising security or stability.

• Collaborate with engineering teams to design guardrails, human-in-the-loop checkpoints, and audit trails for autonomous agent workflows including automated build diagnosis, infrastructure remediation, and code generation pipelines.

• Support integration of AI agents into CI/CD pipelines, enabling agentic systems to participate in testing, code review, and deployment workflows with appropriate oversight controls.

• Help establish platform standards for LLMOps concerns — including prompt versioning, agent output observability, and per-call cost attribution — as agentic systems move into production use.

Observability, Security & Compliance:

• Build and maintain logging, monitoring, and alerting solutions using the ELK stack or Prometheus and Grafana.

• Support the availability, reliability, and performance of mission-critical hosted services.

• Implement and maintain policy enforcement tooling (e.g., OPA Gatekeeper or Kyverno) to ensure security and compliance guardrails are built into platform workflows.

• Support InfoSec scans, compliance audits, and SOC 2-related operational controls.

• Stay current on emerging technologies and contribute ideas for improving platform capabilities.

What you will need to succeed:
Knowledge and Skills:

• Experience building and maintaining cloud infrastructure on AWS and/or Azure, including compute, networking, and storage

• Hands-on experience with Kubernetes and Docker in a…