Job Description

Position Overview

We are seeking a highly skilled Senior Software Engineer to design, build, and evolve key backend components of Agiloft’s CLM Core platform. This role is focused on owning significant technical areas within the backend, contributing to architectural decisions, and delivering high-quality, scalable solutions that support product growth and customer needs.

As a Senior Engineer, you will work closely with other engineers, technical leads, and product partners to translate requirements into robust implementations. You will play an important role in advancing engineering best practices, improving system maintainability, and contributing to the thoughtful adoption of AI-assisted software development tools within day-to-day engineering workflows.

This is a hands-on role with meaningful technical ownership, strong influence within your team and adjacent teams, and opportunities to grow architectural and leadership responsibilities over time.

Job Responsibilities

Backend Design & Technical Ownership

Own the design, implementation, and evolution of one or more backend components or services within the CLM Core platform.

Contribute to system architecture by proposing, reviewing, and refining designs that improve scalability, extensibility, reliability, and maintainability.

Proactively identify and address technical debt within owned areas, balancing refactoring with feature delivery.

Implement clear APIs, contracts, and extension points that support safe and independent evolution of platform components.

Engineering Execution & Collaboration

Deliver high-quality, well-tested, and well-documented code that meets performance, security, and operational standards.

Collaborate closely with product managers, QA, and other engineers to clarify requirements, estimate work, and deliver solutions effectively.

Participate in technical design discussions and code reviews, providing constructive feedback and raising the overall quality bar.

Support and uphold the no-code principles within platform extensions under your ownership.

AI-assisted Development & Continuous Improvement

Leverage AI-assisted design- and development tools to improve development speed, code quality, and maintainability.

Contribute to team-level best practices for effective and responsible use of AI tools across design, implementation, testing, and refactoring.

Help evaluate new tooling, frameworks, or techniques—including AI-driven capabilities—that can improve developer productivity and system quality.

Engineering Excellence & Developer Experience

Uphold strong standards for code quality, testing, observability, security, and operational readiness.

Contribute to improvements in developer experience, including internal tooling, CI/CD pipelines, documentation, and architectural guidance.

Ensure technical decisions are clearly documented and accessible to other engineers.

Mentorship & Organizational Impact

Mentor mid-level and junior engineers through code reviews, pairing, and technical guidance.

Act as a reliable technical partner, helping unblock teammates and improve overall team execution.

Communicate technical concepts and trade-offs clearly to both technical and non-technical stakeholders.

Stay current with backend engineering trends, cloud-native architectures, and AI-enabled development, applying them pragmatically where they add value.

Other duties as assigned.

Required Qualifications

Bachelor’s and/or master’s degree in computer science, Information Systems, Software, Electrical, or Electronics Engineering, or a comparable field of study.

7+ years of professional software engineering experience with a strong focus on backend development.

Strong proficiency in Java and SQL, with experience building and maintaining large-scale backend systems.

Experience contributing to the design and evolution of complex, long-lived software platforms.

Proven ability to deliver refactoring and modernization efforts while maintaining feature velocity.

Experience working with CI/CD pipelines and infrastructure-as-code tools such as Terraform.

Familiarity with AI-assisted development tools and demonstrated ability to use them effectively in daily engineering work.

Strong problem-solving skills and the ability to reason about trade-offs in system design.

Excellent written and verbal communication skills.

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