Senior Platform Engineer

PonduranceMcLean, VA
Remote

About The Position

As a Senior Platform Engineer, you will play a key role in supporting and enhancing our AI-driven backend systems while delivering and maintaining our core MDR data pipeline. This role blends platform engineering (CI/CD, infrastructure, deployment systems) with backend development for our AI platform. You’ll be part of a small, highly cross-functional team and will contribute across multiple areas, balancing hands-on development with platform ownership and reliability.

Requirements

  • Strong experience developing production systems in Python (services, APIs, or data pipelines)
  • Experience working with CI/CD pipelines and infrastructure-as-code tools (e.g., GitHub Actions, Terraform)
  • Ability to work effectively in Linux-based environments and troubleshoot production systems
  • Familiarity with serverless architectures and AWS services such as Lambda (or equivalent)
  • Strong communication and documentation skills, especially in cross-functional settings
  • Ability to take ownership of work, prioritize effectively, and operate independently
  • Experience working on production systems with a focus on reliability and minimizing client impact
  • Demonstrated ability to work across both development (e.g., Python) and platform/infrastructure domains

Nice To Haves

  • Familiarity with AI-assisted and agentic development workflows to improve engineering velocity and code quality
  • Experience with container orchestration (Nomad, Kubernetes, Docker Compose)
  • Experience with monitoring and observability tools such as Datadog
  • Familiarity with configuration management tools (e.g., Salt, HashiCorp stack)
  • Experience working in environments with on-call responsibilities and production support
  • Familiarity with tools like Jira, Slack, and Google Workspace

Responsibilities

  • Own and evolve CI/CD pipelines using GitHub Actions, Terraform, and Nomad, including deployment of containerized services and AWS serverless components (e.g., Lambda)
  • Develop and enhance our growing AI platform
  • Own self-service deployment mechanisms for our platform frontend using GitHub Actions and Nomad
  • Collaborate with Front-End and Operations teams to define and deliver the roadmap for the AI platform
  • Manage configuration using Salt and HashiCorp tools
  • Oversee Docker-based systems to ensure reliable deployment and operation of applications
  • Maintain uptime and functionality of primary pipeline
  • Implement monitoring, alerting, and dataflow solutions using Datadog to proactively detect and resolve issues
  • Document processes, procedures, and troubleshooting steps to improve team efficiency and knowledge sharing
  • Provide secondary support to client-facing support teams on client device issues
  • Participate in on-call rotations, root cause analysis (RCA), and continuous improvement efforts

Benefits

  • Medical, dental, vision, disability, FSA, HSA, life and AD&D insurance, 401(k) Plan.
  • PTO, sick, holiday, & parental leave details are available
  • Competitive compensation packages based on the market and your overall credentials.
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