Note: The job is a remote job and is open to candidates in USA. Pondurance is a company focused on redefining the security and cyber risk landscape. As a Senior Platform Engineer, you will support and enhance AI-driven backend systems while maintaining the core MDR data pipeline, blending platform engineering with backend development.

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

Skills

• 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
• 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
• 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

• Medical, dental, vision, disability, FSA, HSA, life and AD&D insurance, 401(k) Plan.
• Time off: PTO, sick, holiday, & parental leave details are available
• Money: We provide 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.

Company Overview