Software Engineer, Distributed Systems

Location: San Francisco, CA (Remote/Hybrid Available)

What is the company?

The race to AI has become the race to power. Every breakthrough in artificial intelligence depends on one thing: access to electricity. But across the country, aging grid infrastructure and years-long interconnection queues are slowing the deployment of the data centers that will power the next generation of innovation. Solving this challenge isn't just about energy—it's about unlocking the future of AI.

At the company, we're building the energy intelligence platform for the AI economy. Our software helps the world's largest energy consumers achieve faster, cheaper, and cleaner power by combining real-time control of energy assets with complete visibility into their energy portfolio. Backed by Bessemer Venture Partners, GV, Coatue, and NVIDIA, and built by pioneers in grid-scale batteries, energy markets, and enterprise software, we're redefining how the world's most ambitious organizations access and manage energy.

The Role

As a Software Engineer focusing on Distributed Systems at the company, you will work in collaboration with some of the brightest industry experts in the field building cloud-native applications that scale to trillions of data points collected from electricity markets globally. You will be a part of a dynamic, robust team primarily supporting the backend needs of our Aria software product spanning hundreds of data sources, sinks, services, and jobs.

Your expertise will not only have a direct impact on product decisions, but you also be well-positioned to drive the development and trajectory of our entire platform and infrastructure and influence important architectural decisions that affect the whole organization.

Key Responsibilities

• Foster a culture and mindset of well-designed systems, test-driven software, and transparent communication with a high caliber of mutual respect and consideration for stakeholders

• Read and write a lot of Go, Python, and Protobuf

• Build, test, debug, maintain, and scale our ecosystem of backend services and APIs with hyper-precise data structure alignment

• Design, implement, and coordinate critical application interface and database model changes, migrate and evolve schemas, and scale queries for multiple product work streams

• Interoperate with various storage and retrieval systems for both structured and unstructured data sets across the entire stack

• Troubleshoot and enhance system performance, reliability, and security to meet the evolving needs of the business

• Collaborate closely with product managers, UX designers, and frontend engineers to vet user requirements and data provenance with an end-to-end mindset

• Work on occasion in the platform and infrastructure layers to develop deployment automation, observability, monitoring, and alerting tools

What We're Looking For (Minimum Qualifications)

• Fluency with Python or Go language runtimes, build tools, and library ecosystems

• First principles knowledge of modern distributed systems and how they apply to the needs of a small startup and throughout its growth phases

• Proven expertise in managing and orchestrating container-based deployments and microservices

• Command of complex application build configurations and workflows in a mono-repository setting

• Strong understanding of service oriented architectures, networking, and security fundamentals

• Technical leadership and commitment to delivering high quality software on time or ahead of schedule while adhering to best software development practices

What Will Make You Standout (Preferred Qualifications)

• A bachelor’s degree or higher, ideally in Computer Science or some STEM related field

• Demonstrated track record for Senior or Staff level software development talent and up

• Hands-on experience with Kubernetes, Google Cloud Platform and its various services.

• Advanced programming skills in systems languages such as Rust, Scala, Java, or C/C++, development shell runtimes, and configuration languages

• Familiarity with the gRPC + Protocol Buffer ecosystem

• Experience deploying internet security solutions across engineering and non-engineering teams to protect employee resources

• General knowledge of neural network architectures and AI/ML landscape is a big plus

What Makes the company a Great Place to Work?

• Lead with Empathy: We lift each other up with humility and kindness, always putting colleagues and customers first

• Be Honest & Transparent:  We prioritize effective communication to build trust with our team, customers, and stakeholders

• Move with Balance & Precision:  We believe speed and perseverance must be accompanied by thoughtfulness and reflection

• Leave the World a Better Place: We are passionate about our mission, and we strive to create a sustainable world for future generations

Base Pay Range

$150,000 - $240,000+

This is the estimated base salary range for this position, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to level, skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs.

Benefits and Employee Perks

• Competitive compensation and equity grant at a high-growth start up

• Comprehensive benefits package including medical, dental and vision insurance, and 401k

• Flexible hours and unlimited PTO

• Diverse and inclusive working environment

The company is an equal opportunity employer. All applicants and employees are considered for hire, promotion, and compensation without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, marital or familial status.