Senior Cloud Developer
This role has been designed as "Onsite" with an expectation that you will primarily work from an HPE office.
Who We Are
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world.
Job Description
Job Family Definition:
The Cloud Developer builds from the ground up to meet the needs of mission-critical applications and is always looking for innovative approaches to deliver end-to-end technical solutions to solve customer problems. Brings technical thinking to break down complex data and to engineer new ideas and methods for solving, prototyping, designing, and implementing cloud-based solutions. Collaborates with project managers and development partners to ensure effective and efficient delivery, deployment, operation, monitoring, and support of Cloud engagements. The Cloud Developer provides business value expertise to drive the development of innovative service offerings that enrich HPE's Cloud Services portfolio across multiple systems, platforms, and applications.
Management Level Definition:
Contributions impact technical components of HPE products, solutions, or services regularly and sustainable. Applies advanced subject matter knowledge to solve complex business issues and is regarded as a subject matter expert. Provides expertise and partnership to functional and technical project teams and may participate in cross-functional initiatives. Exercises significant independent judgment to determine best method for achieving objectives. May provide team leadership and mentoring to others.
Responsibilities
•Lead the design and development of complex, large-scale platforms: solution design, analysis, coding, testing, and integration of scalable, robust cloud subsystems.
•Review designs, test plans, and code for alignment with engineering standards and best practices, and give clear, actionable feedback to improve quality and reduce risk.
•Analyze complex application, infrastructure, and data-processing problems and deliver sound, maintainable solutions.
•Apply AI-assisted workflows across the software development lifecycle (design, coding, testing, review, release, and support), and continuously improve them.
•Represent the engineering team in technical forums, and mentor and coach less-experienced engineers.
•Evaluate and introduce new technologies and approaches that raise the team's engineering effectiveness.
Required Qualifications
•Bachelor's or master's degree in computer science, engineering, information systems, or a related quantitative field, or equivalent experience.
•8+ years of professional software engineering experience.
•Strong programming skills in Python, Java, and Go. Experience with other languages, such as Rust, is a plus.
•Strong grounding in microservices architecture and in building containerized services on Kubernetes.
•Experience building, deploying, and operating scalable, stateless REST APIs and web services on Kubernetes and/or public cloud (AWS, Azure, or GCP).
•Solid understanding of the Kubernetes ecosystem, including autoscaling, and of infrastructure and application observability.
•Experience contributing at every stage of the software development lifecycle.
•Experience designing and integrating polyglot systems across multiple platforms.
•Strong testing discipline: test planning, automation, debugging, and tooling.
•Deep proficiency with Git and the ability to establish and drive effective code-review practices.
•Proven record of mentoring engineers and helping plan and deliver complex, cross-team projects.
•Excellent written and verbal communication, including presenting architecture and design proposals to senior leaders.
AI-First Engineering (Required)
•Hands-on expertise with AI-assisted software development lifecycle (AI-SDLC) practices and workflows.
•Working knowledge of at least one AI coding assistant or agent environment.
•Experience with agents and sub-agents, and with reusable skills or instructions that guide them.
•Initiative in adopting emerging AI capabilities in daily engineering work and product support, including monitoring and analyzing those workflows to improve them over time.
Preferred Qualifications
•Deep knowledge of observability principles (metrics, logs, traces) and experience building products in that space.
•Experience with distributed data pipelines, streaming, or time-series systems.
•Experience with infrastructure-as-code and CI/CD automation.
Accessibility
HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing the secure form linked on the posting.
What We Can Offer You
Health & Wellbeing — a comprehensive suite of benefits that supports physical, financial, and emotional wellbeing for team members and their loved ones.
Personal & Professional Development — programs catered to helping you reach your career goals, whether becoming a knowledge expert in your field or applying your skills to another division.
Unconditional Inclusion — an unconditionally inclusive way of working that celebrates individual uniqueness, with flexibility to manage work and personal needs.
Salary
The expected salary/wage range for this position: United States of America — Annual Salary USD 160,000 - 325,000 in California. Actual offer may vary based upon geographic location, work experience, education/training, and/or skill level. The listed salary range reflects base salary; variable incentives may also be offered.
Information about employee benefits offered in the US can be found at the company's rewards site.
