Senior Software Engineer, Cloud

Posted 12 Days Ago
Providence, RI
135K-165K Annually
Senior level
Artificial Intelligence • Software • Energy • Utilities
The Role
The Senior Software Engineer will develop and maintain Python code for cloud infrastructure, enhance performance and stability, and implement scalable solutions for large IoT datasets. The role includes mentoring junior engineers and participating in architecture decisions while fostering collaboration across remote teams.
Summary Generated by Built In

Utilidata is a fast-growing energy technology company using distributed artificial intelligence (AI) to accelerate the clean energy transition and better serve utility customers. As the electric grid becomes more complex with the rapid increase of electric vehicles, distributed solar, batteries, heat pumps and extreme weather, utilities need real-time visibility of grid conditions. Utilidata’s distributed AI platform, powered by our custom NVIDIA chip, is transforming the way utility companies operate with real-time visibility at the grid edge to better utilize customer energy resources, reduce power outages, and enable quicker storm recovery. 
We are seeking a Senior Software Engineer to join our cloud engineering team at Utilidata, focusing on individual contribution and the development of code and infrastructure. 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

  • 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
  • Mentor and guide software engineers, fostering a collaborative and growth-oriented environment
  • 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
  • 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
  • Prior experience in mentoring and guiding junior engineers, with strong communication and leadership skills

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: $135,000 - $165,000 depending on experience
Location: This position can be performed remotely from anywhere in the United States.
Our Commitments:
Utilidata values the diversity of our team. We provide equal employment opportunities without regard to race, color, religion, creed, sex, gender, sexual orientation, gender identity or expression, national origin, age, physical disability, mental disability, medical condition, pregnancy or childbirth, sexual orientation, genetics, genetic information, marital status, or status as a covered veteran or any other basis protected by applicable federal, state and local laws.
We are committed to

  • Creating a diverse and inclusive workplace that is welcoming, supportive, affirming and respectful
  • Empowering employees to solve problems and work together to make a difference
  • Providing mentorship and growth opportunities as part of a collaborative team
  • A flexible work environment with flexible paid time off
  • Competitive compensation and benefits, including health, dental, vision, and employer-match 401k

Top Skills

Python
The Company
Providence, RI
77 Employees
On-site Workplace
Year Founded: 2012

What We Do

Utilidata is an AI-powered technology company that is working with NVIDIA to create the next generation of AI-embedded infrastructure, starting with the electric grid. Karman, our distributed AI platform, operates on our custom NVIDIA module, makes data available for accelerated computing at the edge, and trains AI models locally.

Karman is embedded in grid devices - starting with smart meters - to transform the way utility companies operate. As the electric grid becomes more complex with the rapid increase of electric vehicles, distributed solar, batteries, heat pumps and extreme weather, utilities need real-time visibility of grid conditions and dynamic, software-defined infrastructure. Karman provides real-time visibility and AI at the grid edge so utilities can better utilize customer energy resources, reduce power outages, and enable quicker storm recovery.

We are a mission-driven, collaborative, and adaptive team working to do what’s right, even when it’s hard. With backgrounds in electric engineering, power systems engineering, software engineering, data science, and energy policy, we bring a unique perspective on the solutions the energy industry needs.

We are committed to ensuring a diverse, inclusive, and flexible workplace where employees are provided mentorship and growth opportunities and are empowered to solve problems as part of a collaborative team.

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