About the role

Senior Software Engineer responsible for backend design and development in Agiloft's CLM Core platform. Collaborating with teams to deliver high-quality scalable solutions.

Responsibilities

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.
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.
Leverage AI-assisted design- and development tools to improve development speed, code quality, and maintainability.
Uphold strong standards for code quality, testing, observability, security, and operational readiness.
Mentor mid-level and junior engineers through code reviews, pairing, and technical guidance.

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.