Software Engineer, Backend - L3 (Python)
Designs and builds scalable backend services in Python for Haptik’s conversational AI products, working with microservices, cloud platforms, and databases to support enterprise customers.
- Compensation
- Not disclosed
- Location
- Maharashtra, Mumbai, India
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 7+ years
- Category
- Backend
- Posted
Skills
Must have
- 7+ years of experience building highly scalable, resilient backend services in production.
- Strong expertise in Python, with hands-on experience using Django (preferred), Flask, or FastAPI.
- Proven experience in designing normalized and efficient database schemas for large-scale applications.
- Strong knowledge of SQL & NoSQL databases:
- MySQL / PostgreSQL
- MongoDB
- Elasticsearch for distributed search and analytics
- Experience working with in-memory data stores such as Redis or Memcached for caching and high-throughput use cases.
- Proficiency with Git and experience working in an Agile/Scrum environment (Jira exposure a plus).
- Good understanding of scalable system architecture, performance tuning, concurrency, and distributed systems principles.
- Hands-on experience with:
- Docker and containerized deployments
- Message brokers like RabbitMQ / Kafka / MQTT (bonus if used in production workloads)
- Web servers like Nginx / Apache
- Cron jobs, automation, background workers
- Exposure to cloud platforms (AWS/Azure/GCP) — Lambda/Serverless experience is a strong plus.
- Familiarity with monitoring and log analytics tools such as Kibana / Grafana.
- Excellent communication and collaboration skills — able to influence and mentor engineers.
- A strong team player with a self-driven, ownership-first mindset.
- Bachelor’s or higher degree in Computer Science or a related engineering field.
Full description
What we want to accomplish and why we need you?
Haptik is a leader in Conversational AI, offering commerce, marketing and customer care solutions, having reached over 500 million devices, and processed over 10+ billion AI driven interactions over the past decade. Haptik has been at the forefront of the AI revolution, which today is at the center of the world’s attention. We have built a robust set of technology and tools that enables both enterprises and SMBs to engage better with consumers. With a 250+ strong team, including some of the finest minds in the industry, Haptik is truly poised to lead the AI paradigm shift for many decades to come.
What will you do every day?
- Design, build, and maintain high-performance, scalable, and secure backend services that power Haptik’s conversational AI products.
- Own the complete lifecycle of features — from requirements gathering, technical design, development, testing, deployment, to monitoring in production.
- Write clean, efficient, maintainable code and perform peer code reviews to uphold engineering excellence.
- Work closely with cross-functional teams — Product, QA, DevOps, and Client Engineering — to deliver features that create real impact for enterprise customers.
- Identify system bottlenecks, troubleshoot production issues, and drive continuous improvements in performance and reliability.
- Contribute to architectural discussions and influence decision-making with strong technical judgment.
- Ensure industry-best practices in CI/CD, security, observability, and documentation.
- Mentor junior engineers and help uplift the overall technical strength of the team.
- Stay curious, bring new ideas, and help shape the evolution of Haptik’s backend technology stack
Ok, you are sold, but what are we looking for in the perfect candidate?
- Strong backend fundamentals with proficiency in Python.
- Experience building and scaling distributed, event-driven, and microservices architectures.
- Solid knowledge of databases - both relational (MySQL/Postgres) and NoSQL (MongoDB/Redis/Cassandra), along with experience in query optimization.
- Hands-on experience working with cloud-native environments (AWS/GCP/Azure) and containerization tools (Docker, Kubernetes).
- Understanding of system design, caching strategies, message queues, and API performance tuning.
- Familiarity with CI/CD pipelines, automated testing, and monitoring/observability tools.
- Strong focus on robustness, security, and clean code.