Software Engineer III - Data Platform

Responsibilities

• Build and maintain automated reliability tooling, infrastructure as code, and observability systems that enhance uptime and service performance.
• Develop monitoring, logging, and alerting frameworks such as Prometheus, Grafana, and OpenTelemetry.
• Implement automated architectural reviews and reliability guardrails for agent-developed applications.
• Partner with engineering teams to design and implement scalable, fault-tolerant systems that meet defined SLIs and SLOs.
• Automate repetitive operational tasks and develop self-healing and auto-remediation mechanisms.
• Participate in on-call rotations and lead incident response efforts, including post-incident reviews and systemic improvements.
• Improve deployment and release processes using CI/CD pipelines and progressive delivery techniques.
• Champion observability, reliability, and operational readiness reviews.
• Collaborate with Security and Compliance teams to meet FedRAMP, NIST, and internal policy requirements.
• Contribute to documentation, runbooks, and internal tooling.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.
• 3–5 years of experience in Site Reliability Engineering, DevOps, or Infrastructure Engineering.
• 2+ years of hands-on experience managing and scaling services in AWS, Google Cloud, or Azure.
• 1+ year of proficiency in at least one modern programming language such as Java, Go, Python, Ruby, or JavaScript.

Nice-to-haves

• Strong understanding of Docker and Kubernetes.
• Experience implementing and maintaining CI/CD pipelines and automation frameworks.
• Working knowledge of observability systems, including metrics, tracing, logging, and alerting.
• Experience building automated recovery, failover, or chaos-engineering systems.
• Familiarity with event-driven architecture and asynchronous processing systems.
• Knowledge of distributed systems design, load balancing, and performance optimization.
• Exposure to Terraform, Pulumi, Ansible, and GitOps practices.
• Understanding of FedRAMP, SOC 2, or NIST 800-53.
• Strong analytical and troubleshooting skills across network and application layers.
• Excellent communication and documentation skills.
• Experience using AI agentic coding assistants and deploying custom AI agents or automated workflows into production.

Compensation and Benefits

• Annual base salary: $172,528–$201,375 USD.
• Compensation may vary based on qualifications, experience, skills, education, training, geographic location, and other job-related factors.
• Benefits include medical, dental, vision, HSA, FSA, commuter benefits, life and disability insurance, 401(k) with company match, parental leave, paid time off, company holidays, employee assistance, pet insurance, wellbeing and childcare discounts, learning and development benefits, and other programs.