Software Engineering Manager – Streaming & Cloud Platform Reliability

Job Overview

Software Engineering Manager – onsite in Cupertino, California with hybrid collaboration. Must be a US Citizen or Green Card holder.

• Own and drive post‑incident follow‑ups from the Incident Management process, turning incident reports into design and implementation work.
• Lead, mentor, and grow a 2‑4 person engineering team while contributing hands‑on code in production services.
• Design, implement, and harden streaming topologies using Kafka, Storm, and/or Flink (e.g., stats, telemetry, alerts, pcaps).
• Improve reliability of core APIs (REST API, Web Socket, Webhooks, etc.), including auth, rate limiting, and DR‑sensitive flows.
• Enhance observability and runbooks: add metrics, alerts, define SLOs, and codify playbooks for recurring incident patterns.
• Collaborate with SRE, Platform, and Data teams on DR, multi‑region, and multi‑cloud behavior (AWS, GCP, DR regions).
• Ensure robust testing and deployment practices (unit/integration tests, regression tests for past incidents, safe rollout/rollback).

• 7+ years total professional software engineering experience.
• 2+ years in a team lead role (mentors, performance feedback, prioritization), while remaining hands‑on technically.
• 5+ years building backend or distributed systems in Python, Go, or Java (proficiency in at least one).
• 3+ years designing, implementing, and operating distributed, event‑driven systems using Kafka and at least one of Flink or Storm.
• 3+ years building and operating RESTful APIs (service design, auth, rate limiting, client IP handling, versioning).
• 3+ years working with cloud‑native infrastructure (Kubernetes, containerized microservices, CI/CD pipelines).
• 3+ years with production data stores such as Redis, Postgres, Cassandra/Datastax, or S3/GCS.
• 2+ years directly involved in production incident response (on‑call participation, postmortems, remediation).
• Proven ability to debug latency, throughput, data correctness, and availability issues in streaming pipelines and/or APIs.
• Experience adding or improving metrics, logging, tracing, and alerts for production services.

• 2+ years working with big‑data / analytics or ETL systems (e.g., Apache Spark, Airflow, Snowflake).
• Experience with webhook or event‑delivery systems (idempotency, retries, ordering, DLQs).
• Exposure to multi‑region / DR design: cross‑cloud migrations, DNS and certificate management, environment‑driven configuration.
• Familiarity with Dev Ops practices, CI/CD automation, and service ownership.
• Experience with observability stacks such as Prometheus, Grafana, Kibana/Elasticsearch.

• Comprehensive health & wellbeing benefits for employees and dependents.
• Personal and professional development programs.
• Unconditional inclusion and diverse work environment.

Annual salary range: USD 155,500 – 315,000 (California). Variable incentives may also be offered.

Hewlett Packard Enterprise is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are based on qualifications, merit, and business need. We comply with all applicable laws related to employer use of arrest and conviction records.