Principal Platform Engineer - Hybrid/Remote

About Midwestern Interactive Growth Team Midwestern Interactive | Great vision needs great people to bring it to life. Midwestern Interactive is a premier talent partner for the tech ecosystem with 13+ years of experience empowering visionaries to achieve their boldest ambitions. We've served 120+ clients from Fortune 500 to early-stage startups, delivering 250K+ hours annually on products that have raised over $450M. Unlike traditional staffing agencies focused on headcount, we provide remarkable talent driven to serve through three tailored solutions: Embedded Teams We integrate deeply with your organization, providing design, engineering, and management expertise that scales with your business cycles. Our model eliminates the risk of rigid staffing when priorities shift. Scoped Services From brand development to product MVP discovery, we deliver high-impact results that transform your vision into reality with technical precision and strategic alignment. Recruiting Services Whether you need embedded recruiters, contract-to-hire, or direct placement, we source hidden talent that aligns with your technical needs and company culture. Our teams don't just code—they think beyond to business outcomes. While your competitors fall behind casting vision with no execution, you'll take hold of unrealized opportunities with builders who deliver. The distance between impossible and inevitable is shorter than you think

Midwestern Interactive Growth Team

Tech talent partner | Embedded Teams: design, eng + recruiting. 13yrs/120+clients | midwestern.com | Scale responsibly

Cloud SoftwareMobile ApplicationsDigital StrategyCreative SolutionsStaff AugmentationSoftware EngineeringDesign ServicesCustom WebsitesCopywritingand Embedded Teams

M

midwestern.com

51-200 employees

Software Development

Joplin, MO

2012

Public Company

3.1k LinkedIn followers

• Drive the platform's architecture and runtime direction, including convergence
• onto one container-orchestrated runtime, tenancy-grade isolation between client
• engagements, and the contracts every product inherits.
• Design composable infrastructure as code at fleet scale, with clear input
• contracts and state boundaries, published as versioned templates and images for
• every core component.
• Make the environment lifecycle a one-command operation: created by merging a
• pull request, destroyed by deleting it, with automated proof nothing is left
• behind.
• Design identity and network as a federated, credential-free system — one
• identity per engagement, just-in-time audited privileged access, separate
• internal and external edges.
• Ship telemetry and cost visibility out of the box for every service: standard
• alerting, service-level objectives on live data, fault injection, and
• per-engagement cost attribution including AI spend.
• Drive the shared delivery pipelines every product runs through, and the
• pluggable gate framework that quality, security, and AI-governance checks plug
• into with block-on-fail enforcement.
• Implement security and compliance as code: release-blocking scanning on every
• repository, policy and admission control, signed and attested artifacts, and an
• audit trail and software bill of materials, including AI components, on every
• build as SOC2 / ISO 27001 evidence.
• Package the AI-assisted development environment as a versioned, first-class
• deliverable, and enforce the sandbox boundary for coding agents: default-deny
• egress, short-lived credentials, isolated shared runners.
• Run the platform as a product measured by developer outcomes — setup time,
• time to first commit, pipeline duration, gate false-positive rate, adoption —
• pruning or redesigning controls when governance burden outgrows benefit, and
• proving every golden path by shipping through it yourself. Technical Leadership
• Lead the platform's strategic architecture decisions — multi-tenancy, cloud
• posture, identity provider, network edge — as evidence-based decision documents
• with real trade-offs, and own the security and reliability evidence the program
• reports against.
• Serve as a go-to technical authority on platform architecture and delivery
• engineering, consulted by senior stakeholders at the design and strategy stages,
• translating trade-offs and platform risk into actionable guidance, and mentoring
• engineers and vendor partners with observable improvement in design quality and
• production readiness.

Required

• 15+ years for the Staff level and 10+ years for the Principal level - software
• engineering, platform or infrastructure engineering, or a closely related
• technical field.
• Deep, hands-on expertise in infrastructure as code at fleet scale (Terraform
• or OpenTofu with Terragrunt or equivalent): module architecture, remote state,
• multi-environment topology.
• Demonstrated experience operating multi-tenant Kubernetes platforms in
• production: GitOps, network and admission policy, workload identity, tenant
• isolation.
• Proven track record building CI/CD as a shared platform (GitHub Actions or
• equivalent), with reusable workflow contracts, fleet-scale branch protection,
• and enforced quality and security gates.
• Strong hands-on command of cloud identity and network security on
• Azure/AWS/GCP or a comparable hyperscaler: workload identity federation, RBAC,
• private networking, WAF, DNS.
• Substantive experience with security and compliance as code: scanning
• toolchains (Snyk, Checkov, Trivy), policy engines (OPA, Kyverno, Azure Policy),
• supply chain controls (signing, provenance, SBOM), and SOC2 / ISO 27001 control
• evidence.
• Production observability with OpenTelemetry or equivalent: collector topology,
• SLOs and error budgets, alert routing, incident management, fault injection.
• Has built and operated production application software as a software engineer,
• in at least one of Go, Python, or TypeScript, and is fluent in testing strategy,
• code review, trunk-based delivery, and release management.
• Excellent written and verbal communication skills in English; ability to
• translate complex technical topics to diverse audiences, including executive
• stakeholders.
• Experience with Agile methodologies and cross-functional product team
• collaboration.

Preferred

• Experience building platforms for consulting, advisory, or professional
• services, including client-isolation and data-residency requirements.
• Familiarity with virtual-cluster and control-plane tooling (vcluster,
• Crossplane) and developer portals (Backstage, Port).
• Experience operating a platform used by AI coding assistants (Claude Code,
• GitHub Copilot or similar), including sandboxing of agent tooling.
• Advanced certifications in cloud architecture, Kubernetes, or security (e.g.,
• Azure Solutions Architect, CKA/CKS, CISSP). ● FinOps experience: cost
• allocation, showback, and cloud cost optimization.
• Demonstrated enthusiasm for developer education — writing internal guides,
• running workshops, or building internal tooling communities.