Senior Software Engineer

The Platform & Infrastructure Engineering team sits at the core of our Data Infrastructure organization, responsible for the availability, reliability, scalability, and security of the company’s data platform We build and operate the foundational systems that underpin data ingestion, transformation, analytics, and internal AI workloads at scale — delivering with production-grade discipline across mission-critical services Our work is guided by a commitment to automation, deep observability, and resilience, supporting stringent uptime requirements that the broader organization depends on As a Senior Software Engineer, you will take end-to-end ownership of the reliability and performance of our Kubernetes-based data platform You will architect and operate highly available, multi-region systems designed to meet rigorous uptime and latency standards Your day-to-day work will span scaling infrastructure, optimizing deployment pipelines, and strengthening our security posture — while playing a central role in building, testing, and managing scalable systems that are production-ready from day one You love building highly reliable systems that operate at scale. Must-have experience Data Platform Experience: Familiarity operating data platforms or data-intensive workloads, including distributed processing and streaming frameworks such as Spark, Airflow, Kafka, or Flink. CI/CD Systems: Proven track record building and operating robust CI/CD pipelines using tools such as Argo CD and GitHub Actions. Distributed Systems: Hands‑on experience developing large-scale distributed systems, databases, and backend APIs. Cloud‑Native Security: Hands‑on experience applying security best practices in cloud-native settings, including secrets management, network policies, and vulnerability scanning. We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren’t a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. Desired qualities You bring 7+ years of hands‑on experience in Platform Engineering, Infrastructure Engineering, or building highly scalable distributed systems — with a strong foundation in software design, development, and algorithmic problem‑solving. Observability: Strong experience building and owning full‑stack observability solutions, including metrics, logging, and distributed tracing using tools such as Prometheus, Grafana, and OpenTelemetry. You’re an expert in diagnosing and solving complex distributed systems problems. Production Ownership: Demonstrated experience owning mission‑critical systems with high availability requirements (≥99.99% uptime), including incident response, SLI/SLO/SLA definition, error budget management, and blameless postmortems. Infrastructure as Code: Proficiency with IaC tooling such as Helm, Terraform, or Pulumi, and experience with automated environment provisioning. Multi‑Region Architecture: Practical experience designing and operating geo‑replicated, active‑active, multi‑region systems — with a solid grasp of traffic routing, failover strategies, and data consistency tradeoffs. Performance & Capacity: Strong command of system performance tuning, capacity planning, and resource optimization in distributed environments. You’re curious about how to continuously improve system resilience, security, and operations. Kubernetes & Containerization: Deep expertise in Kubernetes cluster design, day‑to‑day operations, and production troubleshooting across containerized service environments. Regulated Environments: Experience working within compliance‑driven environments and a working knowledge of regulatory frameworks such as GDPR, SOC 2, HIPAA, or SOX. Internal Developer Platforms: Background in designing and building internal developer platforms or self‑service infrastructure tooling that empowers engineering teams to move faster and operate independently. Wondering if you’re a good fit? #J-18808-Ljbffr