Staff Software Engineer - Backend

As the most trusted global leader in data-first contract lifecycle management (CLM) software, Agiloft helps organizations manage the end-to-end process of proposing, negotiating, signing, and leveraging contracts using our flexible Data-first Agreement Platform (DAP). With contract data as the foundation, customers quickly and collaboratively reach agreement and leverage contract visibility to thrive with competitive advantage. Employing powerful, pragmatic artificial intelligence as a legal force multiplier, and robust integration capabilities as a data liberator, organizations around the world trust Agiloft’s certified implementers to deliver connected, intelligent, and autonomous solutions across the entire contract lifecycle.
Top analysts like Gartner, Forrester, and IDC agree, all showing Agiloft as a leader in the CLM space. Our no code platform is easily managed and administered by business users, which is why Agiloft is the contract you keep: nearly a full 100% of new customers are satisfied with their initial implementations, and some 97% of customers renew every year. Ours is a growing, vibrant, successful company that is at the forefront of a market that is becoming a must-have for all organizations.
We believe that the way to build the strongest, most vibrant place to work is to bring in individuals from all walks of life, and to support them in bringing their authentic selves to their day, every day. Our working philosophy is that “EX = CX”: when employee experience is excellent, so is customer experience. We support multiple Employee Resource Groups (ERGs), and offer a working environment that supports healthy work/life balance, including floating holidays and a quarterly, no-questions-asked wellness day.
Position Overview
We are seeking an experienced Staff Software Engineer to own and evolve the architecture of major backend components of Agiloft’s CLM Core platform with end-to-end accountability. This role operates at the platform and organizational level, with accountability for architectural outcomes, long-term system health, and engineering leverage across teams.You will partner closely with the Engineering leadership, senior engineers, and product leaders to translate business strategy into durable architectural direction and executable technical plans. A core focus of this role is to lead the adoption and enablement of AI-driven software development capabilities, shaping how AI tools are used to accelerate extension development, improve maintainability, and reduce long-term operational and technical friction.
This is a hands-on leadership role that combines deep technical expertise with broad influence. Your work will directly shape Agiloft’s technical roadmap, developer experience, and the future evolution of the platform.

Job Responsibilities

• Architecture Ownership & Stewardship
• Own the architecture of one or more critical backend platform domains, with responsibility for design integrity, evolution, and technical debt management over time.
• Act as the architectural steward, ensuring systems remain coherent, extensible, secure, and maintainable as product and customer demands evolve.
• Define architectural boundaries, extension points, and contracts that enable independent evolution of platform components.
• Strategic Technical Leadership
• Lead the planning and execution of architecture- and code changes that improve scalability, extensibility, reliability, and developer productivity.
• Ensure maintenance of the no-code principal in all platform extensions that are under your stewardship
• Translate architectural vision into mid- and long-term technical roadmaps, balancing near-term delivery with long-term platform sustainability.
• Drive cross-team alignment on architectural direction, standards, and trade-offs, influencing without direct authority.
•  AI-Forward Engineering Enablement
• Champion a forward-leaning adoption of AI-assisted software engineering, shaping how AI tools are used across design, implementation, testing, refactoring, and maintenance.
• Design platform components and extension frameworks that are AI-friendly by design, enabling automated reasoning, safer modifications, and faster iteration.
• Collaborate with senior engineers and with engineering leadership to define best practices and guardrails for responsible, secure, and effective use of AI tools within the SDLC.
• Continuously evaluate emerging AI capabilities and integrate those that provide material improvements in engineering leverage and system quality.
• Engineering Excellence & Developer Experience
• Set and uphold high standards for code quality, testing, observability, security, and operational excellence.
• Drive improvements to internal developer experience, including tooling, CI/CD pipelines, documentati