Senior Software Engineer

Who We Are

Arcadia is the technology company empowering energy innovators and consumers to fight the climate crisis. Our software and APIs are revolutionizing an industry held back by outdated systems and institutions by creating unprecedented access to the data and clean energy needed to make a decarbonized energy grid possible.

In 2014, Arcadia set out on its mission to break the fossil fuel monopoly and since then we have been knocking down the institutional barriers to unlock decarbonization. To date, we have connected hundreds of thousands of consumers and small businesses with high-quality clean energy options. Fast forward to today, and now, we’re thinking even bigger. We have launched Arc, an industry-defining SaaS platform that empowers developers and energy innovators to deliver their own custom, personalized energy experiences, accelerating the transformation of the industry from an analog energy system into a digitized information network.

Tackling one of the world’s biggest challenges requires out-of-the-box thinking & diverse perspectives. We’re building a team of individuals from different backgrounds, industries, & educational experiences. If you share our passion for ushering in the era of the clean electron, we look forward to learning what you would uniquely bring to Arcadia!

What we’re looking for:

We are seeking a resourceful and versatile Senior Backend or Full Stack Engineer to join the Engineering team and help bring our visions to life. The ideal candidate is a low-ego team player who approaches engineering problems and potential solutions with curiosity and attention to detail. Although energy industry knowledge is preferred, a strong candidate will have demonstrated software engineering projects in a regulated industry or one requiring deep domain knowledge. We are an analytical group – there is no shortage of challenges operating large API applications at scale, but our core business logic demands comfort performing numerical calculations. The ideal candidate will have demonstrated ownership of features and modules developed while collaborating with Subject Matter Experts and colleagues across Product, Design, and Marketing.

The Energy Analytics group builds industry-leading data modeling products to predict energy costs and calculate the benefits of DER interventions such as adding solar or battery storage. If you got a quote to put solar panels on your roof, odds are your ROI calculation flowed through our Genability Signal and Switch API’s by way of our enterprise customers. We build performance models of battery systems, and we use ML techniques to predict energy datasets. Solving the climate crisis requires a mass deployment of clean energy technologies, and our products give the economic insights to most effectively deploy projects today.

Arcadia is open to fully remote candidates and employees have access to co-working spaces.

#LI-REMOTE

What you'll do:

• Make meaningful contributions to the industry-leading energy cost modeling API
• Design and develop new products and modules
• Translate product and SME requirements into engineering-ready designs, specifications, and implementation plans
• Participate in peer technical design review sessions to ensure efficient and maintainable code
• Work with build/release engineering, QA, and support to ensure all aspects of a project are well documented, tested, and supported
• Write integration and unit tests to validate your implementation
• Work with remote teams

What will help you succeed:

Must Haves:

• Bachelor’s degree in Computer Science or related field required
• 4+ years of software development experience at a SaaS or technology company
• Experience building REST API’s
• Experience with enterprise Java (Spring, Spring Boot preferred)
• Experience with SQL and/or NoSQL databases
• Deployed systems on AWS or similar
• Demonstrated ability to work with small teams as well as independently

The preferred candidate will also demonstrate:

• Experience designing, operating, and troubleshooting large web API systems at scale
• Experience with Python-based data science ecosystem (Jupyter, Pandas, etc.)
• Front-end experience in React
• Experience working with Kubernetes and containerized platforms

Benefits:

• "Remote first" culture - work anywhere in the US as long as you have a reliable internet connection
• Flexible PTO - no accrued hours and no limit on the number of vacation days exempt employees can take each year
• 17 annual company-wide holidays including a week long "summer break"
• 10 days sick leave
• Up to 4 weeks bereavement leave
• 2 volunteer days off
• 2 professional development days off
• 12 weeks paid parental leave for all parents
• 80-95% employer cost coverage for medical, dental, and vision benefits for employees and dependents
• A supportive engineering culture that values diversity, empathy, teamwork, trust, and efficiency

Eliminating carbon footprints, eliminating carbon copies.

Here at Arcadia, we cultivate diversity, celebrate individuality, and believe unique perspectives are key to our collective success in creating a clean energy future. Arcadia is committed to equal employment opportunities regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, protected veteran status, or any status protected by applicable federal, state, or local law. We are proud to offer visa sponsorship opportunities for qualified candidates interested in joining our team.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Target Annual Compensation Range for this role will be $150,000 to $200,000. There will also be a competitive benefits and equity (bonus if applicable) component to the package. The exact compensation at which this job is filled will be determined by the skills, experience, and location of the qualified candidate.

Thank you