Senior Software Engineer - 2026
Builds and optimizes scalable backend systems, data pipelines, and AI integrations for enterprise SaaS platform managing environmental obligations. Requires 5+ years backend experience, Bachelor's in CS/Engineering, and expertise in Java/Python, cloud infra, and ML frameworks.
About the job
Responsibilities
- Design and build scalable backend systems: Develop high-performance services and APIs that power ENFOS' enterprise platform, ensuring reliability and maintainability at scale.
- Develop and maintain robust data pipelines: Create and optimize workflows that integrate complex, multi-source environmental and financial data.
- Own features end-to-end: Drive features from architecture through implementation, deployment, and iteration—balancing quality with speed.
- Collaborate cross-functionally: Partner with product, implementation, and engineering teams to translate customer and business needs into elegant technical solutions.
- Influence architecture and long-term technical direction: Contribute to platform-wide design decisions and help evolve ENFOS' technical roadmap.
- Champion quality and best practices: Set a high bar through code reviews, mentorship, and driving clean, maintainable design patterns.
- Prioritize reliability and observability: Build with monitoring, metrics, and alerting in mind. Lead post-incident reviews and contribute to system resilience.
- Support team growth and hiring: Participate in interviews, help onboard new engineers, and foster a collaborative, high-performance culture.
Requirements
- 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 languages such as Java, Python, or similar
- Strong experience with modern development practices, including CI/CD pipelines, automated testing, and cloud-based infrastructure (e.g., AWS, Azure)
- Experience with data integration, ETL pipelines, and tools for migrating, transforming, and validating complex datasets
- Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and interest in emerging technologies like LLMs and AI agents
- Excellent problem-solving skills with a bias for action and strong sense of ownership from design through deployment
- Collaborative team player with strong communication skills and a desire to mentor others, contribute to architectural decisions, and elevate the engineering culture
- Alignment with ENFOS values: accountability, continuous improvement, and building solutions that drive real-world impact in highly regulated industries
Preferred Qualifications
- Strong candidates are passionate about innovation in AI/ML, committed to continuous learning, and bring a team-first mindset focused on building robust, scalable, and impactful systems.
Benefits
- Salary is competitive with the market
- Paid Time Off (Vacation, Sick Days, Public Holidays)
- Health Care Plan, Flexible Spending Account & Retirement Plan (401k)
- Pre-IPO Stock Options
Skills
Java, Python, Spring Boot, Redis, RabbitMQ, WebSockets, Docker, GitLab, CI/CD, AWS, ETL, TensorFlow, PyTorch, Ansible
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