Senior Software Engineer

Introduction:

is building an autonomous AI Workforce for Debt collection. Our platform empowers AI agents that don't just talk — they think, plan, and act. These agents understand data, predict intent, choose the right strategies, and execute personalized communication flows across channels — all while staying compliant.

The Opportunity:

As a Senior Software Engineer, you will be a critical part of our backend team, focusing on building and scaling the complex systems that power our enterprise applications. You are a "polyglot" engineer at heart with a deep specialization in Python, a strong command of database internals, and a passion for building resilient, high-performance systems.

You will be responsible for designing data models, architecting asynchronous workflows, and ensuring our infrastructure is scalable and efficient. This role demands a strong understanding of system design, from the database query plan up to the serverless deployment environment.

Who You Are:

• A First-Principles Thinker:
  You excel at breaking down complex problems to their fundamental truths and building pragmatic, effective solutions from the ground up.
• A Pragmatic Problem-Solver:
  You understand the trade-offs in engineering and know when to build for long-term scale and when to deliver a practical, immediate solution.
• A Strong Owner:
  You demonstrate deep ownership, taking full responsibility for your deliverables from concept and design through to production and maintenance.
• A Collaborative Team Player:
  You thrive in a collaborative environment, communicating clearly, sharing knowledge, and working together with the team to achieve common goals.

Responsibilities:

• System Architecture:
  Design, build, and maintain scalable and reliable backend services and APIs.
• Database Expertise:
  Own database design, implementation, and optimization. Dive deep into
  PostgreSQL
  internals to troubleshoot performance bottlenecks, optimize complex queries, and ensure data integrity.
• Application Development:
  Write clean, high-performance, and maintainable code primarily in
  Python
  , leveraging frameworks and tools effectively.
• Data Modeling:
  Implement data access layers using
  ORMs
  in a highly scalable manner. You must be an expert in avoiding common pitfalls (like N+1 queries, inefficient joins, and transaction misuse) and teaching best practices to the team.
• Asynchronous Systems:
  Architect and manage robust asynchronous processing workflows using
  message queues
  to ensure system resilience and decoupling.
• Infrastructure & Deployment:
  Own the full deployment lifecycle for enterprise applications, deploying services to serverless container platforms like
  Azure Container Apps
  ,
  Google Cloud Run
  , or
  AWS
  Fargate
  .
• Caching & Data Stores:
  Implement and manage
  Redis
  for various high-scale use cases, including caching, session management, real-time data storage, and lightweight queuing.

Qualifications:

• 4+ years
  of software engineering experience, with a proven track record of working on
  enterprise-level applications
  .
• Minimum of a Bachelor's degree
  (B.Tech or equivalent)
  in Computer Science, Engineering, or a related field.
• Strong understanding of the full software
  deployment lifecycle
  (SDLC), CI/CD, and agile methodologies.
• Expert-level skills in
  Python
  and experience building complex applications. Comfortable in a polyglot environment, but Python is your core strength.
• Deep understanding of
  Relational Databases (RDBMS)
  . Specific, hands-on experience with
  PostgreSQL
  and knowledge of its internals (query optimization, indexing, transaction management) is essential.
• Demonstrable expertise in using
  ORMs
  scalably. You can articulate common ORM pitfalls and architectural patterns to avoid them.
• Strong experience designing and implementing systems using message queues (e.g., RabbitMQ, Kafka, SQS) and asynchronous processing patterns.
• In-depth knowledge of
  Redis
  and its advanced, scalable use cases (caching strategies, data structures, pub/sub).
• Experience with
  Observability and Monitoring
  tools (like Grafana / OpenObserve / New Relic) and
  OpenTelemetry
  .

Nice To Have:

• Significant experience with
  Django
  and/or
  FastAPI
  .
• Specific experience with
  Azure Service Bus
  .
• Previous experience in an
  early-stage startup
  , especially as a founding or core team member.
• Curiosity or experience in
  Voice AI, telephony integrations
  (SIP, Asterisk), or building AI Agents.
• Experience with other languages like Go, Node JS or Java.

Why Join Us?

• High Impact, Real Users:
  Your work directly affects thousands of customers across India, making collections more humane and effective.
• Cutting-Edge Stack:
  Work with open-source LLMs, multilingual pipelines, and Omnichannel AI Agents in a real-world product.
• Flexible and Focused Team:
  Join a small, agile team that deeply values execution, creative problem-solving, and shipping fast.