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
Similar Jobs
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Design and build scalable AI platform capabilities to enable multi-step GenAI workflows, model execution, and integrations. Implement backend services, execution infrastructure, APIs, and observability to support production GenAI experiences across sales and product teams. Collaborate with AI engineers, data scientists, and product partners to turn AI use cases into reliable, extensible platform features.
Top Skills:
GenaiGoGongJavaLangchainLlmsMcpOpenai SdkOutreachPythonRetrieval SystemsSalesforceStreaming Voice/Chat PipelinesVector Databases
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Design and build end-to-end web and AI-powered dashboard features, scale cross-platform full-stack infrastructure, standardize product patterns, mentor engineers, lead cross-team technical projects, and collaborate with product and design to improve user workflows and AI adoption.
Top Skills:
Claude CodeCopilotCursorCustom AgentsGoPythonTypescript
.png)
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Design and deliver blockchain network infrastructure and platform APIs, lead multi-quarter initiatives (chain integrations, re-architecture, data migrations), define APIs/SLOs/observability and on-call ownership, ship SDKs and platform primitives, establish data contracts, and simplify cross-chain operations to enable analytics, ML, and data engineering teams.
Top Skills:
APIsBitcoinBlockchainEthereumGenerative AiGoKafkaMongoDBRedisSdks
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
