Software Engineer

• 35% - Backend Systems & APIs: Design and build scalable, high-performance backend services and APIs that power the enterprise platform, ensuring reliability and maintainability at scale.
• 25% - Data Pipelines & Integration: Develop and optimize robust data pipelines and ETL workflows that integrate complex, multi-source environmental and financial data, supporting efficient customer onboarding and large-scale migrations.
• 20% - Architecture & Technical Direction: Own features end-to-end from architecture through deployment and iteration; contribute to platform-wide design decisions and help evolve the technical roadmap.
• 10% - AI-Driven Automation: Help integrate AI agents into core business workflows, embedding intelligence into process automation to drive measurable business value.
• 10% - Quality, Mentorship & Reliability: Champion best practices through code reviews and mentorship; build with monitoring, metrics, and alerting in mind, and lead post-incident reviews to strengthen system resilience.

Platform Environment

• Languages: Java (Python a plus)
• Frameworks: Spring Boot, React
• Data & Messaging: Redis, RabbitMQ, WebSockets
• DevOps: GitLab, Ansible, Docker, CI/CD pipelines
• Cloud: AWS or Azure
• Emerging: ML frameworks (TensorFlow, PyTorch), LLMs, AI agents

Our client is seeking someone who brings deep engineering expertise, a strong Computer Science foundation, and a passion for solving real-world problems at scale. Experience with data-driven applications or highly regulated industries (energy, environmental, finance) is a plus., * Bachelor’s degree in Computer Science, Engineering, or a related technical field

• 5+ years of professional experience building and maintaining production-grade backend systems in a high-growth or enterprise environment
• Proven ability to design scalable architectures, write clean code, and ship high-quality software in Java, Python, or similar
• Strong experience with modern development practices - CI/CD pipelines, automated testing, and cloud-based infrastructure (AWS, Azure)
• Experience with data integration, ETL pipelines, and tools for migrating, transforming, and validating complex datasets
• Excellent problem-solving skills with a bias for action and a strong sense of ownership from design through deployment
• Collaborative team player with strong communication skills and a desire to mentor others

Nice to Have

• Familiarity with machine learning frameworks (TensorFlow, PyTorch) and interest in LLMs and AI agents
• Passion for innovation in AI/ML and a commitment to continuous learning
• Experience in highly regulated industries (energy, environmental, finance)

• Competitive market salary
• Paid Time Off (vacation, sick days, public holidays)
• Health care plan
• Flexible Spending Account & 401(k) retirement plan
• Pre-IPO stock options