Senior Software Engineer

What You’ll Do 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. About the Role As a Senior Software Engineer, you will take end‑to‑day 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. Who You Are 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. Familiarity operating data platforms or data‑intensive workloads, including distributed processing and streaming frameworks such as Spark, Airflow, Kafka, or Flink. Deep expertise in Kubernetes cluster design, day‑to‑day operations, and production troubleshooting across containerized service environments. Proven track record building and operating robust CI/CD pipelines using tools such as Argo CD and GitHub Actions. 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 post‑mortems. Hands‑on experience developing large‑scale distributed systems, databases, and backend APIs. Practical experience designing and operating geo‑replicated, active‑active, multi‑region systems, with a solid grasp of traffic routing, fail‑over strategies, and data consistency trade‑offs. Strong experience building and owning full‑stack observability solutions, including metrics, logging, and distributed tracing using tools such as Prometheus, Grafana, and OpenTelemetry. Proficiency with IaC tooling such as Helm, Terraform, or Pulumi, and experience with automated environment provisioning. Strong command of system performance tuning, capacity planning, and resource optimization in distributed environments. Hands‑on experience applying security best practices in cloud‑native settings, including secrets management, network policies, and vulnerability scanning. Preferred Experience working within compliance‑driven environments and a working knowledge of regulatory frameworks such as GDPR, SOC 2, HIPAA, or SOX. Background in designing and building internal developer platforms or self‑service infrastructure tooling that empowers engineering teams to move faster and operate independently. #J-18808-Ljbffr PVH (Tommy Hilfiger/Calvin Klein)