Staff Cloud Infrastructure Engineer

About Stem - Driven by human and artificial intelligence – Stem is unlocking energy intelligence.

Stem is a global leader reimagining technology to support the energy transition. Turning complexity into clarity, and potential into performance.
We help asset owners, operators and stakeholders benefit from the full value of their energy portfolio by enabling the intelligent development, deployment, and operation of clean energy assets. Our integrated software suite, PowerTrack, is the industry standard and best-in-class for asset monitoring, supported by professional and managed services, under one roof. Meant to tackle challenges as seamlessly as possible, Stem shows the information needed clearly and accurately and helps harness raw data to inform actionable insight. With global projects managed in 55 countries – from Germany to Japan and across North America – customers have relied on Stem for nearly 20 years to maximize the value of their clean energy projects.

Stem’s culture embodies diversity & inclusion beyond the traditional facets of gender, ethnicity, age, disabilities, and sexual orientation to include experience, personality, communication, workstyles, and more. At our core, Stem is at the momentous intersection of clean energy and software technology where diverse ideas, experiences, and professional skills converge to make the inclusive culture we have today. Together, we are turning old school thoughts about software and energy into progressive, collaborative, and innovative solutions. By joining our team, you will be collaborating with data scientists, energy experts, skilled salespeople, thought-leading executives and more from a range of backgrounds. This intersection of ideas, beliefs, and skills is what makes us unique enough to lead the world’s largest network of digitally connected energy storage systems.

Role Overview 

Stem is seeking a Staff Cloud Infrastructure Engineer to design, build, and operate highly reliable, real-time backend systems that power critical energy infrastructure. This role focuses on large-scale distributed systems, cloud-native infrastructure, and operational excellence in always-on, mission-critical environments. 

Key Responsibilities 

• Design, build, and operate highly available cloud infrastructure supporting real-time, mission-critical workloads 

• Own and enhance distributed systems that power data ingestion, streaming, analytics, and control pipelines 

• Support real-time data streaming, alerting, and analytics platforms used for grid-scale energy operations 

• Design and operate systems that integrate with SCADA and industrial control protocols (e.g., Modbus, DNP3) 

• Build and maintain comprehensive observability solutions, including metrics, logging, and distributed tracing 

• Participate in on-call and pager-duty rotations, ensuring high reliability and rapid incident response 

• Collaborate closely with product, data, and application engineering teams to deliver scalable and resilient solutions 

• Drive architectural decisions with a focus on scalability, performance, security, and operational excellence 

Required Qualifications 

• B.S./M.S. in Computer Science or related field, or equivalent experience.
• 8+ years of experience in cloud infrastructure, backend systems, or distributed systems engineering 

• Strong programming experience in Java and Python; C++ experience is a plus 

• Deep understanding of distributed systems principles, including consistency models, fault tolerance, and scalability 

• Hands-on production experience operating Kubernetes-based, containerized workloads 

• Experience with real-time and streaming data platforms (e.g., Spark, Flink) 

• Solid experience with data storage technologies, including: 

• Relational (SQL) databases