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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineering Manager 1 - Streaming & Cloud Platform Reliability - **Company:** Hewlett-Packard Enterprise - **Location:** Cupertino, CA, United States - **Experience:** Experienced - **Salary:** $155,500.0 - $315,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Airflow, Amazon Web Services, Amazon S3, Data Analysis, Big Data, Continuous Integration, Data Control, Extract Transform Load (ETL), Software Debugging, DevOps, Distributed Data Store, Distributed Systems, Domain Name System (DNS), Elasticsearch, Python (Programming Language), PostgreSQL, Scrum Methodology, Redis, Regression Testing, Prometheus, Service Design, Software Engineering, Data Streaming, Management of Software Versions, WebSocket, SSL Certificate Management, Data Logging, Cloud Platform System, Datastax, Snowflake, Grafana, Apache Spark, Multi-Cloud, Backend, Event Driven Architecture, Integration Tests, Kubernetes, Apache Flink, Cassandra, Production Code, Apache Kafka, Cloud Migration, Kibana, Restful APIs, Webhooks, Microservices - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=afc9539d5550acf0 ## About the Role * 7+ years total professional software engineering experience. * This is a hybrid role requiring on-site collaboration multiple days per week in Cupertino, California. Due to the requirements of this position, this role requires a US Citizen or Green Card holder. * 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 of these languages to lead design reviews and contribute production code. * 3+ years designing, implementing, and operating distributed, event-driven systems using: + Kafka and at least one of Flink or Storm, or a comparable streaming framework. * 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 datastores such as: + Redis, Postgres, Cassandra/Datastax, S3/GCS, or similar distributed storage systems. * 2+ years directly involved in production incident response: + On-call participation, postmortems, and driving remediation work through to completion. * 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. Preferred Qualifications * 2+ years working with big-data / analytics or ETL systems (e.g., Apache Spark, Airflow, Snowflake, or similar). * 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 DevOps practices, CI/CD automation, and service ownership. * Experience with observability stacks such as Prometheus, Grafana, Kibana/Elasticsearch. ## Description We're looking for a hands-on Software Engineering Manager to lead a small team (2-4 developers) focused on improving the reliability of Mist's cloud platform by driving concrete postmortem action items from our incident management process. This team owns follow-ups from production incidents-especially those involving our streaming data pipelines (Kafka / Flink / Storm) and core APIs. You'll work closely with senior engineers to turn incident learnings into durable engineering improvements. This is a hybrid role requiring on-site collaboration multiple days per week in Cupertino, California. Due to the requirements of this position, this role requires a US Citizen or Green Card holder. What You'll Do * Own and drive post-incident follow-ups from our 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, WebSocket, 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)., * Direct, visible impact on the stability and reliability of Mist's cloud platform and AI-driven networking products. * A focused charter with real, concrete backlogs driven by incidents-not vague "platform work." * Close collaboration with strong senior engineers and SREs, with room to shape both technical direction and team culture. Additional Skills: Accountability, Accountability, Action Planning, Active Learning, Active Listening, Agile Methodology, Agile Scrum Development, Analytical Thinking, Bias, Coaching, Creativity, Critical Thinking, Cross-Functional Teamwork, Data Analysis Management, Data Collection Management (Inactive), Data Controls, Design, Design Thinking, Empathy, Follow-Through, Group Problem Solving, Growth Mindset, Intellectual Curiosity (Inactive), Long Term Planning, Managing Ambiguity {+ 5 more} What We Can Offer You: Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. ## Related Videos - [Remote Driving on Plant Grounds with State-of-the-Art Cloud Technologies](https://www.wearedevelopers.com/videos/251-remote-driving-on-plant-grounds-with-state-of-the-art-cloud-technologies) - [Debug a Kubernetes Operator](https://www.wearedevelopers.com/videos/487-debug-a-kubernetes-operator) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Add Location-based Searching to Site with ElasticSearch](https://www.wearedevelopers.com/videos/77-add-location-based-searching-to-site-with-elasticsearch) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Best Countries for Software Engineers](https://www.wearedevelopers.com/magazine/267-best-countries-for-software-engineers) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [The 12 Best Jobs for Software Engineers](https://www.wearedevelopers.com/magazine/401-the-12-best-jobs-for-software-engineers)