Engineering Lead/Manager - Freelancer Platform

About Deccan AI

Deccan AI

The Role

hands-on Engineering Lead / Manager

Responsibilities

• Freelancer Journey

  : Own services for onboarding, assessments, notifications, courses, playgrounds, deployments, and payments.

• AI/ML Features

  : Build

  semantic search

  for talent discovery.
• Develop

  AI-driven interviews and assessments

  .
• Integrate

  fraud detection

  (ML pipelines, browser extensions).
• Deploy AI agents and workflow automation.

• Backend & Scale

  : Architect backend services in

  Java

  /

  Golang/Python

  with

  caching, queues, and APIs

  .

• Databases

  : Design and optimize

  Postgres/MySQL (relational)

  and

  MongoDB/DynamoDB (NoSQL)

  ; use

  VectorDBs

  for semantic search.

• Cloud & Infra

  : Deploy on

  AWS/GCP

  with Kubernetes, infra-as-code, CI/CD.

• Monitoring & Reliability

  : Build observability into all systems (Prometheus, Grafana, Datadog, OpenTelemetry).

• Leadership

  : Mentor engineers, run 1:1s, drive planning/execution, and uphold engineering quality.

• Product Alignment

  : Apply

  UI/UX understanding

  to align product decisions with stakeholder and freelancer needs.

Requirements

• 8+ years in software engineering, with 2–3+ years in leadership roles.
• Backend expertise in

  Java

  /

  Golang/Python, distributed systems, caching, queues

  .
• Database experience:

  Postgres/MySQL

  ,

  MongoDB/DynamoDB

  ,

  VectorDBs

  .
• Experience with

  AI-native workflows

  : semantic search, AI interviews, fraud detection, workflow automation.
• Cloud-native deployment experience (

  AWS/GCP, Kubernetes, infra-as-code, CI/CD

  ).
• Strong

  UI/UX awareness

  for stakeholder/product discussions.
• Proven track record of

  hands-on coding + leadership/mentorship

  .
• Bonus: Experience with marketplaces, payments, or workforce platforms.

Why Deccan.ai?

• Impact

  : Define the future of freelancer platforms with AI at the core.

• Balance

  : Stay hands-on while building and leading teams.

• Innovation

  : Deliver AI-powered features like semantic search, fraud detection, and automated workflows.

• Scale

  : Solve distributed systems challenges across onboarding, projects, and payments.

• Growth

  : Career-defining opportunity to own the full freelancer lifecycle.

freelancer-first systems