Sr. Tech Lead

Core Responsibilities

• Drive technical design for team initiatives. Translate product direction and architectural guidance into clear technical approaches that engineers can execute with confidence.
• Stay deeply hands-on. Contribute to design and implementation, review code and technical changes, and lead by example through strong engineering practices.
• Guide day-to-day technical decision-making. Help engineers navigate tradeoffs, resolve complex technical problems, and choose solutions that balance quality, performance, and long-term maintainability.
• Uphold high engineering standards. Reinforce expectations around reliability, scalability, security, testing, and operational readiness across the team’s work.
• Mentor engineers through technical growth. Provide practical coaching, feedback, and technical guidance that helps teammates strengthen skills and judgment.
• Leverage cloud-first and AI-assisted engineering practices. Use modern cloud platforms and AI-enabled tools to reduce friction, improve code quality, and accelerate delivery.
• Identify and address technical risks and impediments. Surface concerns early, simplify constraints where possible, and partner with architects or subject-matter experts when deeper alignment is needed.
• Collaborate closely with the Delivery Manager and Product partners. Align on technical direction, sequencing, and dependencies to support effective delivery.
• Foster a culture of learning and continuous improvement. Encourage experimentation, reflection, and thoughtful evolution of technical approaches and team practices.
• Contribute beyond immediate team. Participate in cross-team initiatives, planning discussions, and special projects that strengthen engineering practices across the organization.

Requirements

• 8+ years of software development experience, including 2+ years in a Technical Lead role.
• Strong experience designing and delivering production-grade software in both legacy Java-based and cloud-based environments.
• Demonstrated technical leadership through hands-on contribution, mentoring, and technical guidance.
• A quality-first mindset, with experience building reliable, scalable, and observant systems.
• Comfort using AI-assisted engineering tools to improve developer productivity, code quality, and delivery flow.
• Ability to collaborate effectively with engineering managers, product partners, and cross-functional stakeholders.
• Familiarity with CI/CD pipelines and tooling, with preference for GitHub-based workflows.
• Strong backend development skills using Java, Spring Boot, ECS, Docker, TypeScript, NodeJS in an Agile environment with Jira and Confluence knowledge.
• Experience with frontend development technologies (Angular/React, JavaScript/TypeScript, CSS, Jest).
• Proficiency in Python.
• Proficiency in DevOps concepts, tools, and continuous delivery pipelines, specifically Git, GitHub, Splunk.
• Strong understanding of AWS technologies: CloudFront, S3, ECS, IAM, KMS, DynamoDB, Lambda, SNS, SQL, CloudFormation, API Gateway.
• Proficiency in authentication and authorization, e.g., Auth0, OIDC, Active Directory.
• Proficiency in relational databases, SQL, caching (e.g., Redis), and data modeling.
• Proficiency in shell scripting, Bash, Linux/Unix environment, PowerShell in Windows environment.

Optional Skill Set

• Proficiency in Honeycomb, Grafana, AWS Glue, Athena, Event Bridge, Step Functions, AEM.