Tech Lead Engineer

Elite is the trusted automation platform for law firm operations across most of the world’s largest and most successful law firms. Elite has guided firms through every technology shift and today delivers the only cloud-native SaaS platform that unifies financial, invoice, time, and data management into a single system of action. With embedded AI, predictive analytics, and integrated payments, Elite’s products enable firms to shorten billing cycles, reduce write-offs, and unlock firm-wide insights, making financial operations the foundation for law firm innovation and growth. Learn more at elite.com. Position Overview As a Tech Lead Engineer, you are a senior technical leader responsible for driving the successful execution of Elite’s product and platform roadmap. You combine deep hands-on engineering expertise with strong technical leadership, guiding architecture decisions, mentoring engineers, and ensuring high standards across the software development lifecycle. You will lead complex technical initiatives end-to-end, partner closely with Product and Engineering leadership, and serve as a role model for engineering excellence. This role requires someone who is execution-oriented, quality-driven, and passionate about building scalable, secure, cloud-native SaaS solutions in a high-performing environment Work Arrangement: ​Remote​ This role requires the individual to be based in ​Flexible across U.S. time zones​. Responsibilities Provide technical leadership for complex, high-impact initiatives, ensuring solutions are scalable, secure, maintainable, and aligned with product and business objectives. Lead system and component-level architecture design in partnership with engineers and architects. Own end-to-end technical execution for key projects, from design through delivery, proactively managing risks and dependencies. Translate high-level designs into well-scoped tasks, estimates, and implementation plans. Design, implement, and evolve cloud-native architectures using modern patterns (microservices, event-driven systems, API-first design), technologies and tools. Set and enforce high engineering standards through code reviews, CI/CD, testing, TDD, observability, and DevOps practices. Build, prioritize, and manage technical debt and drive performance, scalability, and reliability improvements using data-driven insights. Mentor and coach engineers, fostering strong engineering judgment, collaboration, ownership, continuous learning and skill development. Partner closely with Product Managers, UX, QA, Security, and Infrastructure teams to deliver solutions that meet functional and non-functional requirements. Clearly communicate technical trade-offs, risks, and recommendations to both technical and non-technical stakeholders. Support alignment between product priorities and technical execution, ensuring predictable, high-quality delivery. Remain deeply hands-on, contributing with high-quality, production-ready code for critical components and complex problem areas. Troubleshoot and resolve complex production issues, applying strong diagnostic and problem-solving skills. Continuously evaluate and adopt modern technologies and tools that improve system reliability and team effectiveness. Perform other duties as assigned to support departmental and company objectives.​ Qualifications ​​Bachelor's Degree​ in Computer Science, Software Engineering, or a related STEM field, or equivalent experience. ​​12+ years​ of professional software development experience building complex, scalable business applications. Expert-level proficiency in the Microsoft stack, including C# /.NET Core and Angular. Strong hands-on experience with Azure cloud services, including Azure Container Apps, App Services, Event Hub and API Management. Proven experience designing and operating distributed systems, microservices, and RESTful APIs. Deep experience with CI/CD pipelines, Terraform, Azure DevOps, GitHub, and modern DevOps practices. Strong database experience with SQL Server, Azure SQL, and Cosmos DB, including performance tuning and scalability. Strong knowledge of Real-Time & Event-Driven Architectures, optimizing low-latency data processing with Azure Event Hubs, Kafka, and OpenTelemetry monitoring. Excellent familiarity with a variety of automation concepts – unit, integration, end to end testing, as well as enforcement of testing best practices for full stack applications. Hands-on experience in Microsoft Fabric, Azure Data Factory, and Delta Lake for data engineering is a strong plus. Excellent problem-solving skills with a pragmatic, data-driven approach. Strong communication and influence skills, with the ability to lead through expertise rather than authority. A continuous improvement mindset with a demonstrated commitment to engineering excellence and professional growth. Ability to travel up ​