Senior Platform Engineer

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 production environment
• Proficiency with infrastructure automation using Terraform or comparable IaC tooling
• Experience supporting and improving CI/CD pipelines in Azure DevOps, including YAML pipelines and agent pools
• Experience with GitOps workflows using ArgoCD or Flux
• Working knowledge of networking fundamentals including DNS, load balancing, and firewall configurations
• Proficiency in at least one scripting language (Python, Bash, PowerShell, or similar)
• Familiarity with logging, monitoring, and alerting tools such as the ELK stack or Prometheus and Grafana
• Experience with Helm charts and Git version control best practices
• Working knowledge of database technologies such as PostgreSQL or MS SQL Server
• Experience supporting Linux and/or Windows server environments
• Familiarity with APM tooling such as Elastic APM or New Relic
• Strong written and verbal communication skills with the ability to document platform capabilities clearly for engineering audiences
• Ability to manage competing priorities in a fast-paced environment, including work across onshore and offshore team structures
• Experience working within Agile or Scrum methodologies

Education and Qualifications: 

• Bachelor's degree in Computer Science, Engineering, or a related field required; equivalent practical experience considered
• 5+ years of experience in a DevOps, platform engineering, or cloud infrastructure role
• 2 or more years of hands-on experience with AWS and/or Azure

Nice to Have: 

• Familiarity with Internal Developer Platform (IDP) tooling such as Backstage, Port, or Cortex.
• Experience with policy enforcement tooling: OPA Gatekeeper, Kyverno, or Sigstore.
• Experience with Keycloak or other identity providers.
• Experience with image building tools such as Packer.
• Hands-on experience with agentic coding tools (e.g., Claude Code, Cursor, GitHub Copilot Workspace) and building platform infrastructure to support them.
• Familiarity with agentic orchestration frameworks such as LangGraph, CrewAI, or AutoGen.
• Understanding of LLMOps concepts: prompt versioning, agent observability, hallucination detection, and cost attribution for AI workloads.
• Azure and/or AWS certifications, including CKA (Certified Kubernetes Administrator).

Worksite Location: This is a remote role. Candidates must be based in the United States.  

This role is not eligible for visa sponsorship.

MHC Comprehensive Benefits Package

We offer a robust benefits package designed to support the well-being and financial security of our employees. 

Our Benefits Include:

• Workplace Flexibility
• 401(k) Plan: Deferred and Roth options available to help you save for retirement, with a generous employer match of 50% up to maximum of 4.5% of gross pay.
• Medical Plans: Comprehensive co-pay or HSA coverage options to keep you and your family healthy.
• Dental and Vision Plans: Access to a large network of providers for dental and vision health. 
• Daycare and Medical FSA/HSA: Save on eligible daycare and healthcare expenses with our flexible spending and health savings account plans.
• Group Term Life Insurance: Coverage of $50,000 to provide peace of mind.
• Generous Paid Time Off (PTO) Policies: Ample time to relax and recharge.
• Employee Assistance Program (EAP): Support for personal and professional challenges.

 Voluntary Benefits Available:

• Additional Life Insurance
• Critical Illness Insurance
• Accident, Cancer & Hospital Indemnity Insurance
• Legal/ID Shield
• Pet Insurance

Parental Leave:

If your state offers a paid family or medical leave program, you will have access to those benefits. For employees in states without a state program, we offer:

• Four weeks of paid paternity leave, available after one year of employment, with partial eligibility beginning at six months.
• Twelve weeks of paid leave for the birth parent, eligibility rules apply.

We are proud to be an equal opportunity employer and welcome our employee’s differences, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or Veteran status. Different makes us better - Join us.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

While we may use AI tools to support parts of our hiring process, applicants and candidates may not use AI tools (such as chatbots, writing assistants, or real-time response generators etc.) to complete application materials, assessments, or interviews. Responses should reflect your own knowledge, skills, and communication style. If our review indicates that AI was used in a manner inconsistent with this expectation, we will not move forward with your candidacy.