Were much more than our job descriptions, but heres where youll begin:

Lead and deliver large-scale platform and product initiatives that impact millions of users.

Collaborate with product, design, and business teams to translate complex business

problems into scalable technical solutions.

Guide the team in adopting AI/ML models and frameworks, exploring their application in

personalization, credit risk, fraud detection, or smart recommendations.

Review architecture, suggest best practices, and ensure resilient, performant, and secure

code.

ROLE: Engineering manager

LOCATION: Bengaluru

Perform technical mentorship and code reviews to build a culture of engineering

excellence.

Take ownership of system design and architecture for key services.

Set up and maintain CI/CD pipelines and contribute towards infrastructure decisions.

Ensure rigorous security and data protection practices in collaboration with DevSecOps.

Stay ahead of the curve by continuously evaluating and integrating new tools, trends, and

AI technologies.

What youll need

8+ years of experience in backend/frontend engineering roles with at least 2+ years in tech

leadership or architect roles.

Proven track record of leading engineering teams on complex projects from idea to

production.

Strong coding skills in Node.js, Python, JavaScript, and proficiency in web frameworks.

Comfortable with cron jobs, RESTful APIs, containerization (Docker/Kubernetes) and

GCP/AWS.

Experience with RDBMS and NoSQL databases like MySQL, MongoDB, Redis,

Elasticsearch.

Familiarity with modern frontend practices using HTML, CSS, JS, and build tools like

Webpack, NPM.

Solid grasp on Git and code lifecycle workflows.

Exposure to or working knowledge of AI/ML concepts, such as:

Personalization engines

Predictive modeling (risk/fraud)

NLP (chatbots, document classification)

Working with APIs from platforms like OpenAI, HuggingFace, Langchain, or Vertex

AI.

Engineering Manager