Engineering Lead

‍Were looking for a hands-on Engineering lead to lead our companys growing engineering team. This role combines technical leadership with people management: youll lead a team of engineers both inhouse and offshore, and work closely with the CTO and VP Product leading the company through a transformational phase of significant growth, to deliver a reliable, scalable, and cost-efficient companys Customer Intelligence & Decisioning Platform.This role is a leadership hands on role: youll get your hands dirty writing code, review and design, and at the same time act as a leader who set standards, processes, coach engineers, and ensure smooth collaboration across the entire team.Key ResponsibilitiesTeam Leadership & GrowthManage and mentor the company engineering team.Create a culture of ownership, collaboration, and accountability. Maintain high standards of work methodologies and delivery.Establish effective communication and delivery rhythms across our cross functional teamsHands-On Technical LeadershipLead & contribute to design, coding, and reviews of the platform, backend , data and MLE functions.Guide architectural decisions, ensuring scalability, reliability, and cost efficiency, while supporting significant customer growth.Ensure high-quality engineering standards, CI/CD practices, and observability.Own Production End-to-End: Delivery & ExecutionOwn engineering delivery timelines and release cadence.Coordinate between core and offshore engineers to ensure a unified execution pipeline.Balance short-term feature delivery with long-term technical health.Define SLO, build observability, lead on-call, incident response, and postmortemsCollaborationWork closely with the CTO and VP Product on architecture, integrations, and security.Work with the CEO to ensure that delivery is aligned with the companys mid-long term vision.Partner with Product on roadmap prioritization and execution.Ensure smooth onboarding and ongoing collaboration with customer-facing teams.Requirements: ⁠Have 6 years of software engineering experience, and experience managing a team.A mix of Management with Hands-on role: lead and mentor in-house offshore engineers, keep coding/reviewing, and set the bar on architecture, reliability, and delivery.Worked in cloud-based Big Data environments, Orchestrated and designed data pipelines, and has some experience in holding a robust Machine Learning (AI) stack, including MLOps.Own production end-to-end: CI/CD, observability, on-call, incident response/postmortems - while balancing fast features with long-term technical health and cost.Partner closely with the CTO and Product on roadmap, integrations, and security; high autonomy and impact.What helps:Strong backend (Python/Scala), AWS, and ML-in-prod (registries/monitoring/rollback); track record of high-scale systems; data platforms/personalization a plus.Basic know how in FE (TS/React)Preferred SkillsExperience in, Data Platforms, Personalization, Marketing Intelligence Solutions or decisioning systems.Background in ML model productionization (registries, monitoring, rollback).Familiarity with privacy-by-design and compliance-driven delivery.This position is open to all candidates.