Job
Description
We are looking for a Team Lead - Full Stack Software Developer to join our Engineering Services Organization. In this role, you will take on senior-level, hands-on development responsibilities for internal engineering applications and enhance our Application Lifecycle Management toolchain to support the R&D organization. Key Responsibilities Application Development: Design and develop internal engineering applications, dashboards, and workflows to accelerate product delivery for the R&D team. Toolchain Integration: Lead projects that integrate various engineering tools to improve workflows, scorecards, and metrics across product management, development, quality assurance, and infrastructure. Data Management: Establish data feeds into a centralized data lake for operational metrics. Collaboration: Work closely with engineering service teams to support CI/CD, SRE, and SDLC best practices. Mentorship: Mentor your scrum team by conducting regular one-on-ones to foster collaboration, discuss key projects, and help remove roadblocks. Project Execution: Drive software development projects by formulating approaches, leading design discussions, and guiding the team to successful delivery. Hands-On Development: Dive into code to resolve issues and perform proof of concept and rapid prototyping as needed. Minimum Requirements Education: MS/BS in Computer Science, Engineering, or a related discipline. Experience: 6+ years in software development. 3+ years in technical leadership roles. 3+ years of Agile software development experience. Communication Skills: Strong oral and written communication abilities. Qualifications Front-End Development: Experience with Angular, React, web components, JavaScript, TypeScript, Progressive Web Apps, HTML5, and CSS. Back-End Development: Proficiency in Golang, Python, TypeScript, or similar languages. API Development: Skilled in creating RESTful APIs and integrating backend and client-side services. SaaS Development: Experience developing SaaS applications on Amazon Web Services (AWS). Containerization and Orchestration: Familiarity with tools like Docker, Kubernetes, and Harness. Message Brokers: Experience with solutions such as Amazon SQS or Kafka. Data Architecture: Knowledge of SQL and NoSQL technologies, including Postgres and Redis. Mentorship Experience: Proven ability to mentor developers and drive R&D execution within your scrum team.
