Job Description

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.

We are seeking a Principal Software Development Engineerto provide technical leadership and ownership of Stem’s core data platform and pipeline architecture Approximately70%of this role will focus on designing, scaling, andoperatinghigh-performance data pipelines and distributed backend systems. The remaining30%will support microservicesdevelopment

This is a technical leadership position responsible for defining platform architecture, setting engineering standards, and driving reliability, scalability, and operational excellence across the organization.

Key Responsibilities

• Architect, design, and own large-scale data pipelinesfor real-time and batch ingestion, transformation, and delivery

• Provide technical leadership and architectural direction for distributed backend and data platform systems

• Establish platform-wide standards for performance, reliability, security, and maintainability

• Lead technical design reviews and mentor senior engineers on data platform and infrastructure best practices

• Drive operational excellence, including observability, alerting, incident response, and post-incident improvements

• Own the reliability and correctness of systems powering analytics, forecasting, and control platforms

• Influence long-term technical roadmap and platform evolution in partnership with engineering leadership

• Collaborate closely with US-based engineering, product, and operations teams

• Support OpenADRintegrations and utility data import services

Required Qualifications

• 12+ years of experience in distributed systems, cloud infrastructure, or data platform engineering

• Expert-level programming skills in Java and Python(bothrequired)

• Deepexpertisein designing and operating data pipelines(streaming and batch)

• Strong understanding of distributed systems principles: fault tolerance, scalability, consistency, and performance

• Proven experience operating Kubernetes-based systemsin production environments

• Strong experience with real-time processing frameworks such as Spark or Flink

• Solid experience with:

• SQL and NoSQL datastores

• Search platforms such as Elasticsearch

• Proven leadership in building and operating monitoring, observability, and alerting platforms

• Demonstrated ability to influence architecture across multiple teams and services

Preferred Qualifications

• Bachelor's degree in computer science, Engineering, or a related technical field isrequired

• Experience with OpenADRor demand response / energy market integrations

• Experience designing utility data ingestionpipelines (e.g., meter data, market data, settlement files)

• Experience working in regulated, compliance-driven, or reliability-critical environments

• Strong hands-on experience with AWS

• Nice to have:Experience building or integrating AI agents or intelligent automation systems, such as LLM-based agents, workflow orchestration, or AI-driven operational tooling

Core Technologies and Platforms

• Java, Python

• Kubernetes and cloud-native infrastructure

• Large-scale data pipelines (streaming and batch)

• Spark, Flink, or similar processing frameworks

• SQL databases, NoSQL datastores, Elasticsearch

• Observability platforms (metrics, logging, tracing, alerting)

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.