Software Engineer
Company Overview
EV adoption continues to grow - but our power grid was not built to withstand this level of electricity demand, and charging remains a major challenge for drivers. With over 80% of EV charging occurring at home, ChargeScape was formed by some of the world's largest automakers (BMW, Ford, Honda, and Nissan - with more joining soon) with the mission to enable everyone to access sustainable, affordable energy from a reliable power grid. ChargeScape's software platform serves as the connective tissue between EV drivers and power utilities, using cloud-based commands to schedule EV charging for the most grid-friendly, low-carbon hours, all while putting money back in drivers' wallets. Backed by a well-capitalized joint venture, we are expanding our engineering team to continue scaling our vehicle-grid integration platform and supporting new technical initiatives.
Position Overview
ChargeScape is seeking a Senior Software Engineer to drive development across our software architecture and infrastructure. This is a high-impact individual contributor role focused on full-stack development, technical execution, and continuous improvement, with hands-on responsibilities across the full stack. You'll work closely with our engineering leadership and distributed teams to contribute to strategic engineering efforts on our utility and OEM platforms while supporting emerging technical initiatives.
Key Responsibilities
Full-Stack Development: Design, develop, test, and deploy high-quality, scalable web applications using React, Next.js, Java, and Spring Boot, running on AWS.
Architecture & System Design: Take an active role in architectural decisions and help design scalable, secure solutions in collaboration with senior engineers.
Platform Improvements: Build tools and systems for data ingestion, transformation, and partner integrations. Improve data flows, optimize performance, and ensure data integrity across the platform.
Infrastructure & Reliability: Enhance and maintain CI/CD pipelines, observability systems, and AWS infrastructure (EC2, Lambda, S3, API Gateway, etc.). Identify and help resolve performance, scalability, and security concerns.
Proofs of Concept & Technical Research: Design and build proofs of concept to evaluate new technologies and patterns. Contribute to experimentation with emerging tools and approaches, including AI and ML applications.
Technical Collaboration: Collaborate effectively across time zones and functions, especially with our Brazil-based developers. Support other engineers through code review, technical discussion, and knowledge sharing.
Hands-on Coding: Contribute production-quality code on both backend and frontend projects with a strong focus on maintainability and scalability.
Problem Solving: Navigate and resolve technical challenges with sound engineering judgment and creative problem-solving.
AI-Augmented Development: Leverage AI tools and modern developer workflows to rapidly prototype software, accelerate iteration cycles, and explore solutions faster than traditional approaches allow.
Qualifications
5+ years of experience in software engineering with a strong full-stack background and solid understanding of systems architecture.
Frontend: Proficiency in React and Next.js, with strong TypeScript expertise.
Backend: Strong expertise with Java and Spring Boot.
Cloud Infrastructure: Solid experience with AWS (EC2, Lambda, S3, API Gateway, etc.).
Databases: Experience with DynamoDB, PostgreSQL.
DevOps & Infrastructure: Familiarity with Docker, Kubernetes, CI/CD, and observability tooling.
Understanding of distributed systems, RESTful APIs, and microservices.
Proven track record of designing and building scalable systems.
Comfortable working on technical initiatives with general direction and support.
Strong verbal and written communication skills, with the ability to collaborate effectively across cultures and time zones.
Demonstrated interest in continuous learning and exploring emerging technologies.
Nice to Haves
Experience working with international engineering teams.
Familiarity with data integration, ETL pipelines, and data warehousing concepts.
Exposure to or curiosity about AI/ML technologies and their practical applications.
Compensation
Total Compensation: Competitive salary and bonus, with a total cash compensation range of $150,000-$200,000 per year.
Benefits
Comprehensive benefits package, including healthcare, 401(k), and unlimited PTO.
Location
This is a fully remote position open to candidates across the United States, with the expectation of traveling to Austin, TX approximately 8 to 10 times per year for in-person collaboration, company events, and team meetings. Travel expenses are covered by the company.