Senior Software Engineer

About the role

DeepIntent is the leading healthcare marketing platform, purpose-built to help marketers plan, activate, and optimize data-driven campaigns with speed and precision. Trusted by the world’s top healthcare brands and their agencies, DeepIntent uniquely unites media, identity, and real-world clinical data to power privacy-safe, omnichannel marketing across every screen. Backed by patented technology and proven outcomes, DeepIntent’s platform delivers measurable audience quality and script lift at scale. Learn more at www.deepintent.com.

What You’ll Do:

- Setting up formal data practices for the company.

- Building and running super stable and scalable data architectures.

- Design, develop, and maintain scalable, high-throughput backend services and REST APIs using Java and Spring Boot.

- Designing and delivering solutions for low-latency data problems at scale.

- Making it easy for folks to add and use new data with self-service pipelines.

- Getting DataOps practices in place.

- Designing, developing, and running data pipelines to help out Products, Analytics, data scientists and machine learning engineers.

- Creating simple, reliable data storage, ingestion, and transformation solutions that are a breeze to deploy and manage.

- Writing and Managing reporting API for different products.

- Implementing 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.

- Teaming up with all sorts of people – business folks, other software engineers, machine learning engineers, and analysts.

Who You Are:

- 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 like GCP or AWS.

- Experience with Apache open-source projects like Spark, Kafka, Druid, Airflow, and big data databases like BigQuery, Clickhouse.

- Experience making data architectures that are optimised for both performance and cost.

- Solid grounding in microservices, REST API design, and distributed systems fundamentals; GraphQL or gRPC exposure is a plus.

- Experience with relational and NoSQL databases (e.g., PostgreSQL, MySQL, Aerospike, or similar), including schema design and query optimisation.