[Remote] Lead DevOps Engineer: Developer Experience

Note: The job is a remote job and is open to candidates in USA. Convene, Inc. is a technology services organization seeking a Lead DevOps Engineer to design, build, and support an AI-native Software Development Platform for critical online transaction-processing systems. The role will establish developer-experience capabilities, validate agentic development, guide engineering adoption, and evolve the platform as the business and AI technologies advance.

Responsibilities

• Work with DevOps, Enterprise Architecture, and Software Engineering team members to design, build, and roll out a Software Development Platform for traditional, AI-assisted, and agentic development that optimally integrates the tools our developers use every day
• Work with the Senior Enterprise Architect for Developer Experience to define and implement patterns, guardrails, skills, harnesses, metrics, and experiences that support high-quality, timely delivery
• Validate the agentic development capability by using it to design, build, and verify production-grade software examples
• Guide software engineers as they adopt the Software Development Platform, raising the bar on software quality, security, delivery velocity, and operational excellence
• Continue to evolve our Software Development Platform as our business grows and AI advances

Skills

• * 8+ years of professional software engineering experience, with 3+ years directing, mentoring, or leading other software engineers
• * Deep, hands-on experience designing and building production back-end systems and APIs, including RESTful services, event-driven architectures, and the data stores behind them
• * Experience with front-end development using React or a similar framework
• * Strong command of C#, .NET, and Azure, with a track record of writing code that is clean, testable, and operable in production
• * Practical experience building and operating cloud-native services on Microsoft Azure, including Azure API Management, Web Apps and Functions; identity; networking; and observability
• * Proficiency with the modern engineering toolchain company relies on, including Git, Azure DevOps (pipelines, repos, boards), VS Code, and SonarQube or comparable static analysis tools
• * Experience using Generative AI to develop enterprise software and production AI infrastructure such as MCP Servers
• * A demonstrated entrepreneurial mindset: broadly collaborative across disciplines, tolerant of ambiguity, biased toward action, and motivated by the opportunity to innovate and to build new organizational capability
• * Familiarity with additional relevant languages, frameworks, and runtimes such as React, Python, or Drupal/PHP
• * Experience leading platform or developer-productivity initiatives that impacted multiple engineering teams
• * Background in financial services, consumer credit, payments, or another regulated industry, including familiarity with the controls these environments require
• * Experience integrating AI into enterprise SDLC tooling, including governance, secrets handling, and audit considerations
• * Relevant contributions to open-source projects, technical writing, teaching, or speaking engagements

Company Overview

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