Senior Software Engineer - Backend

Overview

Senior Software Engineer (Backend) at DeepIntent, a healthcare marketing platform, building scalable data architectures, data pipelines and backend services.

What you'll do

• Set up formal data practices for the company.
• Build and run stable, scalable data architectures.
• Design, develop and maintain scalable, high-throughput backend services and REST APIs using Java and Spring Boot.
• Design and deliver solutions for low-latency data problems at scale.
• Make it easy to add and use new data with self-service pipelines.
• Put DataOps practices in place.
• Design, develop and run data pipelines to support Products, Analytics, data scientists and machine learning engineers.
• Create simple, reliable data storage, ingestion and transformation solutions that are easy to deploy and manage.
• Write and manage reporting APIs for different products.
• Implement different methodologies for different reporting needs.
• Develop event-driven and asynchronous services using messaging and streaming platforms such as Kafka, alongside other datastores.
• Follow and uphold engineering best practices around API design, code quality, testing, security and data privacy, with healthcare compliance expectations in mind.
• Use AI across the SDLC (design, coding, testing, reviews and documentation) to deliver production-grade data solutions, owning the review, testing and debugging of all AI-generated code.
• Work with business stakeholders, other software engineers, machine learning engineers and analysts.

What you'll need

• Bachelor's degree in engineering (CS / IT) or equivalent degree from a well-known Institute / University.
• 3.5+ years of experience managing data at scale and building and running both batch and streaming data pipelines.
• Experience with public clouds such as GCP or AWS.
• Experience with Apache open-source projects such as Spark, Kafka, Druid and Airflow, and big data databases such as BigQuery and Clickhouse.
• Experience making data architectures optimised for both performance and cost.
• Solid grounding in microservices, REST API design and distributed systems fundamentals.
• Experience with relational and NoSQL databases (e.g., PostgreSQL, MySQL, Aerospike, or similar), including schema design and query optimisation.
• Good grasp of software engineering, DataOps, data architecture, Agile and DevOps.
• Proficient in SQL, Java, Spring Boot, Python and Bash.
• Good communication skills for working with technical and non-technical people.
• Takes ownership of problems and is solution-oriented, starting from the problem and the outcome, not just the ticket.
• AI-native delivery skillset: has shipped real work using AI across the SDLC (design, coding, testing, reviews, documentation).
• Hands-on with agentic coding tools (Claude Code, Cursor, Copilot, or similar), and quick to pick up new ones.
• Treats AI as a pair programmer and owns the output: can review, test and debug AI-generated code.
• Strong fundamentals in system design, data structures and clean architecture.
• Understands security and data-privacy guardrails when using AI tools, particularly given the healthcare data handled.

Nice to have

• GraphQL or gRPC exposure.

Details

• Location: Pune, India.
• Hybrid-friendly culture with flexible work options.