Agiloft

Staff Software Engineer - Backend

Job Description

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, documentation, and architectural guidance.
  • Ensure that architectural decisions are well-documented, discoverable, and actionable for engineering teams.
  • Mentorship & Organizational Impact
  • Mentor senior and mid-level engineers, raising the overall bar for architectural thinking and system design.
  • Serve as a technical multiplier—unblocking teams, accelerating decision-making, and reducing long-term complexity.
  • Communicate complex technical and architectural concepts clearly to both technical and non-technical stakeholders.
  • Stay ahead of industry trends in platform engineering, AI-enabled development, and cloud-native architectures, and drive pragmatic adoption where it delivers clear business 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.
  • 10+ years of professional software engineering experience, including sustained impact at a senior or staff level.
  • Strong proficiency in Java and SQL, with deep experience building and evolving large-scale backend systems.
  • Demonstrated experience owning and evolving architecture for complex, long-lived platforms.
  • Proven ability to lead architecture refactoring, modernization, and platform evolution initiatives while maintaining delivery velocity.
  • Experience designing, owning, and evolving CI/CD pipelines using infrastructure-as-code frameworks such as Terraform.
  • Strong proficiency with AI-assisted development tools (e.g., GitHub Copilot, JetBrains AI Assistant) and experience integrating them into day-to-day engineering workflows.
  • Ability to reason about systems holistically while also diving deep into critical technical details when needed.
  • Exceptional problem-solving skills, with a track record of making sound architectural trade-offs.
  • Demonstrated ability to influence technical direction across teams through expertise, communication, and trust.
  • Excellent written and verbal communication skills, particularly around architecture, risk, and long-term technical strategy.

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