Senior / Principal Software Engineer, Cloud

Utilidata is a fast-growing NVIDIA-backed edge AI company enabling greater visibility and control of power utilization in energy-intensive infrastructure, like the electric grid and data centers.

Karman, the company’s distributed AI platform powered by a custom NVIDIA module, is transforming the way utility companies operate the grid edge and will enable data centers to unlock more compute for the same provisioned power.

We are seeking a senior software engineer to join our cloud engineering team at Utilidata.

This role will operate as an individual contributor, expected to contribute to the development of code and infrastructure, as well as serve as a technical leader on the cloud team, supporting the development of more junior engineers.

This role requires an individual who can produce high volumes of high-quality Python code while enhancing performance, stability, and extensibility as we scale our initial deployments to millions of units.

You will work directly with large datasets from our IoT fleet, implementing robust solutions and optimizing performance.

Additionally, you will play a crucial role in architecture decisions and provide mentorship to junior engineers.

The ideal candidate will have experience in Python, cloud technologies, continuous integration and deployment (CI / CD), and big data processing, with a proven ability to deliver scalable software solutions in a fast-paced environment.

We are looking for candidates who are collaborative, adaptive and mission-driven.

This is a remote position based in the United States.

Candidates will be expected to collaborate cross-functionally with remote teams based across the country.

Responsibilities Mentor and guide software engineers, fostering a collaborative and growth-oriented environment Write and maintain high-quality Python code to enhance the performance, stability, and extensibility of our cloud infrastructure as well as to implement new features for our customers Create and maintain CI / CD processes as necessary to support development and deployment Design, develop, and implement scalable solutions to handle large datasets from our IoT fleet Optimize existing code and infrastructure for improved performance and efficiency as we scale to millions of units Participate in architecture and design discussions, providing expert insights and recommendations Troubleshoot and resolve complex technical issues, ensuring the reliability and availability of our services Conduct code reviews to maintain code quality and consistency across the team Collaborate with cross-functional teams to define and prioritize features and improvements Develop and maintain automated tests to ensure robust and reliable software delivery Foster a culture of open communication, innovation, and continual improvement Stay current with industry trends and best practices, continuously integrating new knowledge into the development process Minimum Qualifications  8+ years of development with at least 5+ years experience with Python development, including writing, testing, and maintaining high-quality code Prior experience in mentoring and guiding junior engineers, with strong communication and leadership skills Strong background in cloud technologies, such as AWS, and familiarity with managing cloud infrastructure Demonstrated ability to design and implement scalable solutions for big data processing Solid understanding of performance optimization, stability improvements, and infrastructure extensibility Willingness to travel up to 20% of time Enhanced Qualifications (Nice to Have)  Experience with IoT systems and handling large datasets from a distributed fleet Expertise in data analytics and machine learning, particularly in the context of processing and deriving insights from IoT data Proven track record of successfully scaling software solutions from initial deployment to enterprise scale Salary Range :

• $155,000 to $185,000 base compensation depending on experience, plus a 10% annual bonus target and stock options.

Salary will be commensurate with an individual's skills, training, years of experience, and in line with internal compensation bands.  Location :

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