Mindtickle - Senior Engineering Manager - Microservices Architecture

Job Snapshot :

We are looking for a seasoned Senior Engineering Manager (815 years of experience) to lead, scale, and inspire high-performing engineering teams. You will be responsible for the delivery of mission-critical products while fostering a culture of technical excellence and high-agency performance.

This is a core engineering leadership role that sits at the intersection of technical strategy and operational execution. While you will lead a broad range of engineering initiatives, you will also oversee key AI-integrated projects , requiring a solid understanding of how to manage the unique lifecycles of AI-based features.

Furthermore, you will be expected to champion AI-powered optimization of our internal engineering processes to drive team velocity.

This role is for you if :

- You believe that a high-performing team is built on trust, high agency, and the removal of administrative friction.

- You are an engineer at heart who can go deep on architectural trade-offs, write exemplary code, do thought-provoking code reviews, and thus, lead by example. You should be a sought-after person for high-stakes incident debugging sessions.

- You thrive on the challenge of implementing solutions at scale while maintaining a positive, growth-oriented team vibe.

- You have a "Product Mindset" and realize that the best code is the code that solves a real customer problem.

- You will partner directly with Product and Program management to identify risks and define the future, but your primary mission is to be a performance multiplier ensuring your team has the clarity, energy, and technical standards to win.

Tech stack you will get exposure to :

- GoLang, Java, Python, NodeJS, Serverless Technologies (AWS Lambda, AWS Step Functions), Kafka.

Whats in it for you ?

- Execution & Delivery: Own the end-to-end delivery of mission-critical products, ensuring team commitments are met with high velocity and quality.

- Strategic Alignment: Partner with Product and Business to define roadmaps and translate customer needs, including AI-integrated features, into actionable engineering plans.

- High-Performance Leadership: Hire, mentor, and develop a diverse team of engineers, fostering a culture of high agency, growth, and collective success.

- Technical Stewardship: Collaborate with Tech Leads and Architects to solve complex problems, influence design discussions, and drive long-term architectural planning.

- Data & Innovation: Develop robust strategies for effective data engineering and scalable system design to support both core features and AI initiatives.

- Operational Excellence: Drive engineering best practices, ensuring technical debt is managed and systems are built for long-term reliability.

- Process Optimization: Continuously evaluate and implement AI-powered tools (e.g., LLM-based coding assistants, automated documentation etc.) to streamline internal workflows and boost team productivity.

Requirements :

- Bachelor's degree in Computer Science.

- 8 to 15 years of experience in software engineering.

- 2 to 4 years of experience in leading engineering teams.

- Strong experience in Agile software development processes such as Scrum and Kanban.

- Good written and verbal communication skills.

- Ability to build strong relationships with people and drive them towards a common goal.

- Demonstrated leadership in a cross-functional, highly collaborative environment.

- Demonstrated focus on continuous improvement of systems, software, and processes through data analysis and metrics.

- 5+ years of hands-on experience with Golang / Java / Python / Node.js, SQL, and Kafka.

- Solid understanding of Event First/Microservices/Serverless Architecture, Schema Evolution.

- Knowledge of modern DevOps tools and techniques.

- Experience with setting up/tracking key engineering metrics and summarising them for executive decision-making.