ENFOS is redefining how global enterprises manage long-term environmental risk. As the category leader in Environmental Obligation Management, our platform centralizes and automates the full lifecycle of Environmental Remediation Obligations (EROs) and Asset Retirement Obligations (AROs)—replacing fragmented spreadsheets and outdated tools with a purpose-built, multi-tenant SaaS platform. For 25 years, ENFOS has helped the world’s leading industrial companies stay audit-ready, SOX-compliant, and financially in control of their environmental obligations. Privately held and profitable, ENFOS operates with no direct competitors and supports a blue-chip customer base spanning energy and natural resources, chemicals, manufacturing, and logistics end markets. With regulatory pressure rising and ESG scrutiny intensifying, ENFOS is uniquely positioned to empower Finance, Legal, and Remediation teams to improve decision-making, mitigate risk, and drive long-term balance sheet reliability. About the Role: As a Senior Software Engineer at ENFOS, you will report to the Head of Engineering and play a key role in shaping the future of our platform. You’ll be responsible for building and optimizing backend systems that power our enterprise SaaS solution—used by global industrial leaders to manage complex environmental obligations at scale. You bring deep engineering expertise, a strong foundation in Computer Science, and a passion for solving real-world problems. Experience with data-driven applications or highly regulated industries (e.g., energy, environmental, finance) is a plus. This role is critical to delivering the next generation of ENFOS capabilities—from API design to data architecture and platform scalability. You’ll work closely with product, design, and implementation teams while establishing engineering best practices, mentoring junior developers, and contributing to a culture of technical excellence and innovation. How We Work: Agile development : Operate in two-week sprints with clear goals, ownership, and rapid iteration. Code quality focus : Prioritize automated testing, code reviews, and clean architecture to ensure long-term maintainability. Modern toolset : Spring Boot, Java, Redis, RabbitMQ, WebSockets, GitLab, Ansible, Docker, and CI/CD pipelines to streamline development and deployment.Use React, Java, GitLab, Docker, and CI/CD pipelines to streamline development and deployment. Engineer empowerment : Encourage autonomy and initiative—developers are expected to improve performance, scalability, and user experience. Growth mindset: Offer mentorship, exposure to system-level thinking, and a clear path to senior ownership and technical leadership. Top Three Outcomes: Seamless Customer Onboarding & Data Integration: Design and implement robust data pipelines to support efficient customer onboarding and large-scale data migrations—ensuring accuracy, reliability, and minimal downtime. AI-Driven Workflow Automation: Lead the integration of AI agents into core business workflows, collaborating cross-functionally to embed intelligence into process automation and drive measurable business value. Scalable & Secure SaaS Architecture: Work on the server-side to enhance application security, scalability, and deployment processes. Partner with senior engineers to architect new features and evolve our cloud-based platform. 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 Qualification: Strong candidates are passionate about innovation in AI/ML, committed to continuous learning, and bring a team-first mindset focused on building robust, scalab