Design and implement scalable, secure cloud-native microservices and data platforms. Collaborate with product and stakeholders, mentor junior engineers, build CI/CD pipelines, and translate business needs into developer-ready stories.
This is a remote position.
The senior software engineer position is focused on a modern technology stack using the latest software development frameworks, data-intensive distributed microservices, relational and nonrelational database management systems, and containerized cloud infrastructure within a well-established continuous-delivery and Agile development process. You’ll help us with our mission and commitment to a sustainable future.
The ideal candidate will have expertise in Java programming, Docker, and data modeling. You should have strong knowledge of software design patterns and be able to work both independently and through team collaboration. You should be able to break down complex software initiatives into clear and manageable developer-ready user stories. You must be able to review your peers’ code and provide recommendations, and willing to stay up to speed on the latest trends in distributed systems, containerization, microservices, and event-driven technologies. You should have strong leadership skills with the ability to develop and mentor the junior engineers on the team.
What you’ll do
- Collaborate with product and engineering leadership to help define product architecture and implement secure, reliable, scalable software products
- Collaborate with internal and client stakeholders to translate business problems into technical solutions
- Mentor junior software engineers on best practices for building scalable cloud applications
- Participate in continuous learning activities to understand latest technology trends and share knowledge across the team and organization
What will make you a good fit
- At least five years of experience in Java (8 or 11+) software development
- Experience architecting software solutions within the AWS Cloud Platform
- Experience with data modeling and relational database design and implementation
- Experience with NoSQL databases such as MongoDB and Cassandra
- Experience with enterprise integration patterns and creating and managing microservices in a containerized environment (Spring Boot, Docker, and Kubernetes)
- Experience with knowledge graph technologies and techniques
- Experience programming with Python
- Experience working with GIT and GITOPS, and building CI/CD pipelines with Jenkins or AWS code pipelines
- Product-oriented mindset
- Proven track record of efficiently designing, developing, and releasing software products both independently and collaboratively
- Creative mind, keen ability, and the initiative to think beyond
- Ability to effectively communicate with technical teams and business stakeholders
- Passion for energy and the environment
- BS or MS in software engineering, computer science, or a related field of study
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What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
