Platform Engineer

• Security Tooling & Compliance Codification: Partner with the Security Team to intake defined compliance baselines and translate them into automated configuration management playbooks for enterprise tools.
• IaC Deployment & Configuration Automation: Build, maintain, and scale automated IaC deployments to ensure operational environments and tools are managed as code.
• Access & Identity Automation: Collaborate with Security and Platform team members to automate user provisioning and access through existing application features, APIs and IaC methodologies.
• DevSecOps: Embed security concepts and tooling into the development and deployment pipeline to facilitate early identification and remediation opportunities.
• Cloud Network Security: Implement and harden automated security groups, network policies, and cloud infrastructure to securely segment dataflows across environments following Zero Trust principals.
• Secure Package Management: Deploy, configure, and maintain secure package management proxies and local repos to safeguard infrastructure pipelines and the software supply chain.
• Hands-on Engineering (70%): Write clean, reusable infrastructure code, configuration scripts, and API integrations, setting the technical pattern for secure-by-default platform architecture.
• Cross-Functional Alignment (30%): Collaborate with engineering and security teams to embed security tools directly into core infrastructure pipelines, breaking down work and resolving deployment bottlenecks.

Senior Platform Engineer, Security

• Lead and grow a distributed platform and infrastructure organization, staying hands-on with the team when issues arise.
• Drive infrastructure modernization and cloud migration initiatives, including moving services to managed cloud offerings.
• Own reliability, deployment, and disaster recovery practices across the organization's core environments.
• Set engineering standards for infrastructure automation, CI/CD, and operational resilience.
• Partner with engineering and senior leadership to translate platform strategy into practical roadmaps.

Director – Platform & Infrastructure

• Identify problems across technology teams and design platform-level solutions
• Build and operate self-service infrastructure and CI/CD pipelines
• Drive site reliability design and reduce production toil
• Own multi-cloud infrastructure as code
• Integrate AI capabilities into internal developer tooling
• Lead system design and architecture decisions
• Collaborate with technology teams to understand pain points and measure impact

Engineer II – Platform

• Implement highly scalable, secure, resilient cloud-native application platforms that host core company applications, toolings, and other services vital to enabling our product to perform in all AWS regions where we are deployed.
• Identify, design, and deploy improvements in development and deployment processes so engineers can begin deploying anytime with confidence.
• Design and implement tooling for the internal platform to collect telemetry data used to gauge its effectiveness in supporting H3's engineers.
• Help create an effective documentation culture within the Engineering Organization (Confluence, Documentation as code).
• Participate in effective project management and work allocation (Jira, Agile Concepts).
• Create Terraform modules and Crossplane compositions that are easily consumed by all of engineering.
• Be a positive example of automation for infrastructure-as-code, platform operations, and overall CI/CD methodologies.
• Evaluate new technologies and patterns for automation, application hosting, and improving infrastructure provisioning. Recommend and define the work needed.

Federal Platform Engineer

• Dig into inherited Scala systems to find where the real problems are, separate symptoms from causes, and make them scale
• Redesign the data layer our ML and AI products depend on — this is an open, hard problem
• Build out a Rust framework that lets teams ship correct, performant services without reinventing fundamentals
• Improve observability and resilience across the platform so we find problems before our customers do
• Shape developer tooling and engineering standards — your work multiplies everyone else's effectiveness
• Drive AI tool adoption across the company, figuring out what actually helps engineers work better
• Work across the full stack: JVM (Java/Scala), Rust, Python, SQL, and Spark

Staff Software Engineer – Platform Team

• Provides enterprise-level technical leadership and architectural direction for platform engineering
• Defines long-term strategies, standards, and scalable operating models for build, integration, data migration, and release management
• Shapes cross-functional technology decisions spanning applications, data, security, and infrastructure
• Drives the development of new platform capabilities to support organizational objectives
• Acts as a recognized authority influencing multi-year transformation initiatives
• Ensures alignment to enterprise architecture and business outcomes
• Defines and evolves the enterprise platform engineering strategy
• Establishes architectural direction for core systems
• Introduces and institutionalizes new platform capabilities, tooling frameworks, and engineering practices
• Provides strategic oversight of platform delivery across build, release, integration, and data migration domains
• Mentors senior engineers and technical leads

Master Platform Engineer

• Collaborate with engineers across the company to understand and support their development workflows.
• Own technical projects from start to finish and be responsible for major technical decisions and tradeoffs.
• Lead complex projects that span teams, with many partners and customers.
• Effectively participate in planning, code reviews, and design discussions.
• Contribute impactful projects to the team’s roadmap.
• Thrive in a fast-paced, collaborative work environment where impact is a result of your efforts and where your contribution is highly visible.
• Drive software engineering best practices both within our team and across engineering.
• Create tooling that encourages and supports these practices.
• Mentoring and up-leveling other engineers on the team.
• Conduct technical interviews with well-calibrated standards and play a crucial role in recruiting activities.
• Be a positive contributor to our team culture.

Senior AI/ML Engineer – Autonomy CI Platform

• develop, improve, and support Power Apps and Power Automate solutions
• work directly with a Power Platform Architect
• manage SharePoint sites that support applications and automations
• maintain existing lists, ensuring data structures and permissions are correctly implemented
• assist with managing the Power Platform environment
• build new Canvas Apps
• refine the user experience of existing tools
• troubleshoot automations
• update SharePoint list schema
• validate details with stakeholders
• explore newer Power Platform capabilities, including Copilot

Power Platform Developer

• Build and own the agentic harness Bloomerang engineering runs on—agent workflows, tool and model integrations, orchestration, and the guardrails and evaluation infrastructure that keep AI-driven development reliable and safe.
• Use the throughput AI-driven development unlocks to follow through on delivery—ship minimum viable increments, then gather real customer feedback, run A/B tests, measure what shipped, and iterate until it makes a meaningful difference for nonprofits.
• Own cross-cutting AI-platform concerns while standardizing prompt and context pipelines and consolidating local development environments across our products and teams.
• Continually evaluate new models, AI tools, harnesses, and approaches—running rigorous evals and turning the winners into paved-road tooling the whole organization can rely on.
• Design, build, and own backend services at the core of our platform—in the near term, our authentication chain (centralized authentication and session management), advancing toward a unified identity solution, primarily in C#/.NET.
• Diagnose and resolve complex technical bottlenecks across distributed services and the AI tooling that sits on top of them.
• Improve the engineering standards, automation, developer tooling, and AI harness the team relies on.
• Help the team deliver in a continuous-flow (Kanban) model.
• Use your experience to shape our software and delivery tooling—raising the bar on engineering standards, teaching and learning alongside the organization, and helping us ship better products for the nonprofits we serve.
• Actively explore, integrate, and help lead the responsible use of AI across the team.

Senior Software Engineer – Platform, AI

• Design and implement embedded security solutions for next-generation automotive platforms.
• Translate high-level security and system requirements into scalable, secure embedded system designs.
• Collaborate with systems engineering to refine requirements and ensure feasibility in embedded environments.
• Partner with cybersecurity teams to define and implement security architectures and platform-level security components.
• Work closely with test teams to support validation activities, including test case development and issue resolution.
• Identify gaps in existing architecture and design, then build and integrate missing components end-to-end.
• Develop, maintain, and optimize embedded software using Embedded C as the primary language.
• Implement and support unit testing and participate in broader system and integration testing efforts.
• Utilize Git for version control and Jira for task/issue tracking to manage day-to-day development work.
• Contribute to secure services, key provisioning workflows, and cryptographic operations within the platform.
• Troubleshoot complex issues in a Linux-based embedded environment, including performance and security-related defects.
• Operate as a self-directed engineer, driving delivery of key platform milestones and contributing production-level code on aggressive timelines.

Staff Platform Security Engineer

• Build and maintain production-grade automation using Ansible Terraform and Go
• Develop and enhance core services behind VKE VLB (HAProxy) VCR (Container Registry) and Inference
• Engage deeply with Kubernetes internals (scheduler kubelet controllers CRDs)
• Design implement and improve container runtime integrations (containerd runc OCI)
• Architect CI/CD improvements and deployment pipelines for large-scale systems
• Troubleshoot complex issues across networking load balancing containers and distributed systems
• Harden platform infrastructure through security best practices including vulnerability scanning container image signing admission controllers and secrets management
• Contribute directly to Vultr's open-source ecosystem (terraform provider crossplane vultr-cli govultr)
• Improve overall reliability observability and operability of cloud-native services
• Collaborate with product platform and infrastructure teams on feature delivery

• Learn and contribute to production infrastructure automation using Ansible and Terraform
• Assist in building and maintaining cloud-native services across VKE VLB and VCR
• Develop hands-on skills with Kubernetes and container runtimes through guided project work
• Write and improve tooling and scripts (Go, Python, Bash) to support platform operations
• Support CI/CD pipelines and deployment workflows for platform services
• Dig into issues across networking containers and Linux systems with curiosity and persistence
• Contribute to Vultr's open-source tools and libraries with guidance from senior engineers
• Participate in on-call rotation and incident response as you build operational experience

Associate Platform Engineer

• Transform legacy workflows into secure, user-friendly digital tools
• Replace outdated tracking tools with secure Power Apps, Power Pages, and Power BI solutions, using Figma prototypes to deliver clean, intuitive user interfaces.
• Streamline financial workflows by configuring automated processes, custom connectors, and Dataverse structures that reliably link disparate agency databases.
• Maintain software stability and seamless release cycles using Azure DevOps or GitHub for version control and deployment within an Agile environment.
• Partner with architects, business analysts, and agency stakeholders to translate complex financial compliance needs into clear technical requirements and design standards.

Power Platform Developer – UI/UX

• Develops a data platform infrastructure strategy that tackles large, open-ended problems using forward-thinking approaches.
• Contributes to the strategic direction of the Platform Engineering team.
• Creates technical strategy for broad or complex requirements with forward-looking approaches that go beyond the Platform Engineering team and solve large open-ended problems.
• Leads all aspects of technical architecture, design, prototyping and implementation in support of both Platform Engineering needs, as well as overall technology strategy.
• Provides leadership and technical expertise in support of building a technical plan; provides follow through on execution.
• Builds cross-functional relationships with peers and internally within the Platform Engineering team.
• Takes part in high visibility technical projects from inception to implementation.
• Stays current with industry trends and innovations through continuing education in Platform Engineering utilizing company provided training.
• Mentors junior team members with guidance around techniques, tools, and best practices.
• Supports the company’s commitment to risk management and protecting the integrity and confidentiality of systems and data.

Staff Engineer – Platform Engineering

• Own the design and implementation of platform subsystems end to end, from technical design through production and ongoing improvement.
• Anchor meaningful projects, making the design tradeoffs that balance reliability, scalability, and time to market.
• Write production-ready code aligned with the overall system architecture, with observability, testing, and error handling built in.
• Produce clear design docs and work breakdowns that the team can plan and build against.
• Mentor SWE and SWE II engineers and contribute to a strong code review culture across the team.
• Contribute to technical decisions alongside technical leads, product, and engineering leadership on behalf of the team.
• Contribute to the open-source ToolHive codebase and collaborate with community contributors on shared work.

Senior Software Engineer – Platform

• Build and deliver features across the platform services that make up Stacklok Enterprise, including the runtime, Kubernetes operator, gateway, and registry
• Fix bugs and harden platform systems for enterprise production use, improving stability across customer deployments
• Write testable, readable code that accounts for edge cases and error handling, and produce clear design docs for the work you take on
• Review pull requests and contribute to design discussions, working alongside technical leads, product, and fellow engineers on shared platform efforts
• Plan and sequence your own tasks and small epics independently, knowing when to pull in a teammate or escalate a design question
• Contribute to the open-source ToolHive codebase and collaborate with community contributors on shared work.

Software Engineer II – Platform

• Own end-to-end cloud architecture decisions across AWS and Azure, including multi-account AWS environments (Control Tower, cross-account networking, resource sharing, IAM structures) and the existing Azure footprint, with minimal ramp-up time in a multi-cloud environment.
• Lead technical execution on major infrastructure initiatives independently, without requiring architectural supervision; most immediately, the Google Workspace → Microsoft 365 migration (group/permissions reconciliation, dependency remediation).
• Design and maintain Infrastructure-as-Code (Terraform) at scale across a rapidly growing set of repositories and environments, setting patterns other engineers build against.
• Own cross-cloud networking: transit routing, VPC endpoints, cloud-to-cloud peering, load balancer/health-path configuration, and multi-region connectivity.
• Serve as a senior technical resource and mentor for Engineer II/III-level staff; a force multiplier, not a peer requiring equivalent mentorship.
• Support the organization's compliance posture (HITRUST/SOC2, HIPAA) from an infrastructure perspective; access controls, logging/monitoring, and secure architecture review.
• Engage credibly with external architecture stakeholders (security, compliance, vendor architects) at a level reflecting the program's maturity.
• Participate in on-call/incident response for high-priority infrastructure issues.

Enterprise Platform Engineer V

• Own the end-to-end architecture of the Core Platform, including backend services, SDKs, AI-enabled components, and related infrastructure.
• Design and implement scalable APIs, event-driven systems, distributed services, and AI-integrated capabilities (including AI/ML and MCP integrations).
• Architect systems that reliably incorporate AI models into production environments, with strong attention to observability, latency, cost management, and failure handling.
• Lead API design and implementation with a focus on usability, performance, and long-term maintainability.
• Architect and evolve microservices using domain-driven design principles.
• Build platform abstractions and primitives that enable AI-driven workflows and agent-based capabilities.
• Partner closely with Product, Infra, and Customer Success teams to deliver seamless, customer-centric integration capabilities.
• Provide technical leadership, mentorship, and architectural guidance to engineers.
• Establish and elevate engineering best practices across design, development, testing, and operations.

Senior Platform Engineer

• Create realistic cloud infrastructure tasks involving distributed systems, networking, security, scalability, and reliability
• Build reproducible, containerized environments with valid reference solutions and intentionally defective variants
• Define measurable requirements across infrastructure configuration, deployed topology, and runtime behavior
• Develop deterministic integration, load, security, failure-injection, deployment, and recovery tests
• Debug environments, document technical decisions, and review tasks created by other experts.

• Define AI feature specifications upfront — including acceptance criteria, evaluation metrics, prompt contracts, and expected behaviors
• Own end-to-end AI feature delivery across the full AI SDLC: spec definition, prototyping, development, evaluation, deployment, and production monitoring
• Build production-grade LLM and agentic AI applications using Spring AI
• Architect and operate AWS AI infrastructure alongside core AWS services
• Design and implement scalable microservices and distributed systems in Java, TypeScript, and Python
• Build CI/CD pipelines for AI workloads
• Drive AI-specific operational practices: observability, drift detection, quality scoring
• Communicate technical concepts clearly to both technical and non-technical stakeholders
• Mentor engineers, conduct thorough code reviews, and champion engineering excellence

Platform Engineer jobs in United States

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Senior Platform Engineer, Security

Director – Platform & Infrastructure

Engineer II – Platform

Federal Platform Engineer

Staff Software Engineer – Platform Team

Master Platform Engineer

Senior AI/ML Engineer – Autonomy CI Platform

Power Platform Developer

Senior Software Engineer – Platform, AI

Staff Platform Security Engineer

Platform Engineer

Associate Platform Engineer

Power Platform Developer – UI/UX

Staff Engineer – Platform Engineering

Senior Software Engineer – Platform

Software Engineer II – Platform

Enterprise Platform Engineer V

Senior Platform Engineer

Senior Platform Engineer

Senior AI Platform Engineer