Technical Lead, Software Engineering

Litera•Denver, CO

17h•Hybrid

About The Position

Litera is seeking a Technical Lead, Software Engineering to help transform product vision into scalable, reliable, and AI-powered experiences for legal professionals. The role combines technical leadership with hands-on development and contributes to product performance, team effectiveness, engineering excellence, operational maturity, and innovation. This is a hybrid role based in Denver, Colorado, with an expectation to work in the office at least three days per week.

Requirements

At least 6 years of software development experience with a strong full-stack engineering background.
Strong front-end experience building modern web applications using TypeScript, React, and Next.js.
Deep expertise in at least one backend technology stack, such as .NET or Laravel.
Experience leading technical projects or initiatives while actively contributing to software delivery.
Experience designing and scaling cloud-native applications and distributed systems in AWS environments.
Bachelor’s degree in Computer Science, Engineering, or a related field.

Nice To Haves

Experience working in globally distributed teams and using AI-assisted development tools.
Knowledge of containerization and orchestration technologies such as Docker and Kubernetes.
Experience with PostgreSQL, MongoDB, DynamoDB, or other production-scale data platforms.

Responsibilities

Drive delivery of scalable, cloud-native software solutions that support Litera’s product strategy and long-term growth.
Lead technical execution of key initiatives, ensuring architecture, code quality, and engineering best practices support sustainable innovation.
Provide technical leadership and mentorship, and foster continuous learning and knowledge sharing.
Improve product quality and reliability through automation, testing strategies, observability, and operational excellence.
Turn complex business challenges into practical technical solutions that accelerate customer value and product adoption.
Advance AI capabilities by designing and optimizing agent workflows, evaluation frameworks, and intelligent automation solutions.
Improve visibility into system and AI-agent performance through monitoring, telemetry, and data-driven decision making.
Collaborate with Product, Architecture, DevOps, and Quality Engineering to deliver customer outcomes.