Your goal is to act as a catalyst for continuous improvement-dedicating significant time to coding and POCs while leveraging your expertise to mentor engineers, drive cross-R&D initiatives, and align technology decisions with critical business objectives.
Key Responsibilities:
Technical Roadmap & Strategy: Plan and align the technical roadmap for your teams, collaborating closely with product stakeholders to ensure that architectural decisions support long-term business goals.
Hands-on Execution: Lead from the front by maintaining a strong hands-on presence. You will build Proofs of Concept (POCs), contribute to complex feature development, and solve the hardest technical challenges alongside your team.
Mentorship & Knowledge Transfer: Act as a force multiplier. You will lead technical forums, facilitate workshops, and personally mentor engineers to foster their ownership and technical growth.
Cross-R&D Leadership: Play an active role in the R&D Tech Leadership forum, driving engineering-wide initiatives, setting standards, and influencing technical decisions across the organization.
Operational Excellence: Champion a culture of quality. You will drive improvements in reliability, security, scalability, and cost-efficiency.
Efficiency & Innovation: Drive operational efficiency by promoting internal tooling, enforcing technical standards, and adopting AI-driven solutions (like GitHub Copilot) to reduce toil and improve the developer experience.
Modernization & Backlog Ownership: Own the technical health of your domain. You will actively manage the technical debt and modernization backlog, working with the Product Manager to prioritize and schedule essential architecture and system health improvements.
Your Experience & Qualifications:
Must Haves:
7+ years of experience as a senior engineer or technical leader in high-growth, data-driven environments.
Full-Stack Fluency: Deep hands-on experience with modern backend stacks (Java, Node.js, Python) and frontend frameworks (React, Angular, or Next.js).
Infrastructure Mastery: Strong proficiency with Cloud Native environments (AWS preferred), Kubernetes (K8s), Terraform, and managing complex CI/CD pipelines.
Modern Tooling Proficiency: Fluency with coding assistants (e.g., GitHub Copilot, Cursor); you treat them as a pair programmer to deliver production-grade software faster.
Architectural Depth: Proven ability to design and evolve microservices, event-driven architectures, and distributed systems, applying principles like Domain Modeling, DDD, and Clean Architecture.
Preferred / Bonus:
Data Engineering: Familiarity with Kafka, MySQL/PostgreSQL, Redis, and big data tools (Spark, Databricks, Snowflake).
AI & DevX: Experience integrating AI coding assistants (LLMs) and building internal developer tooling to boost velocity.
Experience with experimentation frameworks (e.g., LaunchDarkly) and static analysis platforms (e.g., SonarQube).
