[Hiring] Senior Platform Engineer @Pondurance

Role Description

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.

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

Qualifications

• 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

Requirements

• 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

Benefits

• The opportunity to apply your expertise, take on new challenges, and help customers address their biggest security objectives.
• An inclusive culture of teamwork that embraces the diversity of our people and communities in which we work.
• Some of the corporate benefits (there are more) for full-time employees include:
  • Medical, dental, vision, disability, FSA, HSA, life and AD&D insurance, 401(k) Plan.
  • Time off: PTO, sick, holiday, & parental leave details are available
  • Competitive compensation packages based on the market and your overall credentials.
• Although this is a remote role, if you live close by, you’ll have access to our office location in McLean, VA.
• To promote a healthy and safe work community we require background and drug screenings as part of our hiring process. Details of our process will be provided upon request.