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

- NoSQL datastores

- Search platforms such as Elasticsearch

- Proven experience supporting mission-critical, always-on production systems

- Strong background in designing and operating monitoring and observability platforms

Preferred Qualifications

- Experience with SCADA systems or industrial communication protocols (Modbus, DNP3)

- Background in energy systems, grid infrastructure, or industrial IoT environments

- Experience with data visualization and analytics platforms such as Grafana or Power BI

- Experience building or operating low-latency, high-throughput data pipelines

- Prior experience supporting regulated or safety-critical systems

- Hands-on experience with AWS cloud services and infrastructure

Core Technologies and Platforms

- Java, Python (C++ a plus)

- Kubernetes and cloud-native infrastructure

- Real-time streaming and processing frameworks (Spark, Flink)

- SQL databases, NoSQL datastores, and Elasticsearch

- Observability platforms (metrics, logging, tracing)

- Grafana, Power BI

- SCADA and industrial control system integrations

Salary Range

$145,360.00 - $218,040.00

What We Offer:

At Stem, you will work in a growing, innovative, mission-driven company with talented colleagues that have a passion for building renewable energy systems. Stem offers competitive compensation as well as a comprehensive set of benefits to support the health and wellness of our employee including:

- A competitive compensation package, including eligibility for a bonus or commission based on the role, and equity

- Full health benefits on the first day of employment (several medical plan options-HDHP and PPO, dental plans, FSA/HSA-with employer contribution, employer paid vision/LTD/STD/Life, variety of voluntary coverage)

- 401k (pre- or post-tax) on first day of employment

- 12 paid calendar holidays per year

- Flexible time-off

Learn More

To learn more about Stem, visit our stem.com where you’ll find information about our solutions, technology, partners, case studies, resources, latest news and more. Here are some relevant links:

- Company Overview

- Newsroom

- Case Studies

- LinkedIn

Stem, Inc. is an equal opportunity employer committed to diversity in the workplace and does not discriminate against any employee or applicant for employment because of race, color, sex, pregnancy, religion, national origin, ethnicity, citizenship, sexual orientation, gender identity, age, marital status, disability, genetic information, military status, protected veteran status or any other factor protected by applicable federal, state or local laws.