Senior Backend developer with Data skills

We are seeking a strong Backend Developer with solid experience in building scalable, high-performance systems and working with data-centric applications. The role will focus on developing backend services, APIs, and integrations for a Monetization and Data Platform that drives business insights, customer personalization, and revenue enablement.

What You'll Do:

• Design, develop, and maintain backend microservices supporting data ingestion, processing, and monetization workflows.
• Collaborate with data engineering and product teams to integrate data pipelines and business logic into backend systems.
• Implement APIs and services that expose data insights and monetization metrics to internal and external consumers.
• Optimize system performance, reliability, and scalability for high-volume data transactions.
• Contribute to architecture discussions, technical design, and solution reviews.
• Ensure adherence to best practices in coding, testing, CI/CD, and observability.
• Work closely with cross-functional teams to translate business requirements into technical solutions.

What You Know:

• Programming: Strong expertise in Java / Spring Boot (or Node.js, Python if applicable).
• Frameworks: Spring WebFlux / Reactive programming experience preferred.
• Databases: Experience with MongoDB, PostgreSQL, or other NoSQL/SQL databases.
• Data Exposure: Hands-on with data processing, ETL integration, Kafka, or streaming data platforms.
• APIs: RESTful and GraphQL API design and implementation.
• Cloud Platforms: Familiarity with AWS / Google Cloud Platform / Azure and related data or storage services.
• DevOps: Exposure to Docker, Kubernetes, CI/CD pipelines, Git, and Jenkins.
• Monitoring & Logging: Proficiency with tools like Prometheus, Grafana, ELK Stack, etc.
• Strong understanding of distributed system concepts, performance tuning, and asynchronous processing.

Good to Have:

• Experience with data monetization, ad tech, or subscription platforms.
• Knowledge of data governance, PII handling, and data security best practices.
• Exposure to machine learning model integration or data analytics pipelines.
• Familiarity with Python / Spark / Databricks for data workflows.

Soft Skills:

• Strong problem-solving, analytical, and communication skills.
• Ability to collaborate effectively with product, data, and business teams.
• Ownership mindset with a focus on delivery quality and continuous improvement.

Education:

• Bachelor's degree in computer science, Engineering, or a related field (Master's preferred).

Compensation Band:
$120 - $130K per annum