Senior Software Engineer - 2026

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Remediation Obligations (EROs) and Asset Retirement Obligations (AROs)—replacing fragmented spreadsheets and outdated tools with a purpose-built, multi-tenant SaaS platform.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.

Why ENFOS?
Every major industrial company carries Environmental Obligations: the legal and financial commitments to remediate, restore, and account for the footprint of their operations. These obligations represent billions of dollars of liabilities, span decades, and have historically been managed across spreadsheets, inboxes, and institutional knowledge.

ENFOS is the enterprise system of record that replaces all of that. The world's leading energy, chemical, mining, manufacturing, and industrial companies run their Environmental Obligation programs on our platform.

Our advantage isn't a generic AI model. It's decades of domain expertise, structured enterprise data, and mission-critical workflows that competitors cannot easily replicate. We are profitable, growing quickly, and transforming our platform from a record system into an AI-enabled system of intelligence. If you're excited about building durable enterprise software, solving complex technical problems, and shaping the future of EOM, we'd love to meet you.

• Agile development: We operate in two-week sprints with clear ownership, rapid iteration, and continuous customer feedback.
• Modern platform: Our technology stack includes Spring Boot, Java, Redis, RabbitMQ, WebSockets, Docker, GitLab, Ansible, and AWS.
• Engineer excellence: Clean architecture, automated testing, code reviews, and maintainable software are foundational to how we build.
• Continuous growth: We invest in mentorship, system-level thinking, and technical leadership, creating opportunities to influence the platform and grow your career.

• →Design and build resilient, high-performance backend services and APIs that power our enterprise platform.
• →Develop and optimize data pipelines that integrate complex financial, scientific, and operational datasets.
• →Build AI-powered capabilities and intelligent agents that automate customer workflows and deliver measurable business value.
• →Define architectural standards for scalability, security, performance, observability, and API design.
• →Architect customer onboarding and large-scale data migrations with accuracy, reliability, and minimal downtime.
• →Own features end-to-end, from architecture through implementation, deployment, and continuous improvement.
• →Partner closely with Product, Engineering, and Implementation to influence roadmap and long-term platform architecture.
• →Build highly observable systems with monitoring, metrics, alerting, and post-incident learning.
• →Present and defend technical architecture and engineering decisions to leadership, customers, and technical stakeholders.

• 5+ years of hands-on backend software engineering experience in production enterprise environments
• Proven ability to architect scalable backend systems and deliver high-quality software using Java, Python, or a comparable language

• Demonstrated experience building and operating complex B2B SaaS platforms
• Strong experience designing data integration pipelines, ETL workflows, and complex data transformation systems
• Strong command of modern engineering practices, including CI/CD, automated testing, and cloud infrastructure such as AWS or Azure
• Strong systems thinking with the ability to translate financial and regulatory requirements into reliable technical solutions
• Excellent communication skills with the ability to explain and defend architectural decisions across technical and non-technical audiences

• Experience building financial, regulated, or audit-driven enterprise software
• Experience integrating LLMs, AI agents, or other AI capabilities into production enterprise applications
• Familiarity with machine learning frameworks such as TensorFlow or PyTorch
• Experience with Spring Boot, Redis, RabbitMQ, WebSockets, Docker, GitLab, and Ansible
• Experience modernizing legacy backend architectures within large, multi-module platforms