We are looking for a Senior Java Developer to join our growing team and contribute to building a new product focused on Container Risk Analysis. As an Experienced Backend Engineer, you will play a crucial role in the design, development, and maintenance of our data platform. This platform supports critical data-driven decision-making throughout the organization. You will ensure smooth data flow and optimize our services by working closely with cross-functional teams, including data scientists, analysts, and other software engineers. Requirements: - Bachelor's degree in Computer Science, Engineering, or a related field; - A minimum of 5 years of professional experience as a Backend Engineer; - Full proficiency in Java (specifically Spring Boot) and Kafka, with a strong background in developing micro-services architecture and streaming solutions; - Proficiency with Generative AI (GenAI) and Large Language Model (LLM) tools; - Proactively utilized and consistently engaged with LLM and AI tools (e.g., Claude) throughout the development lifecycle; - Expertise in AWS services for data storage, processing, and analytics; - Demonstrated experience in designing and implementing robust ETL (Extract, Transform, Load) processes for data transformation and integration; - Good working knowledge of Python; - Experience with MySQL; - Exceptional problem-solving skills and meticulous attention to detail; - Ability to work independently and take ownership of tasks; - Good command of English, both written and verbal. Nice to Have: - Familiarity with data processing technologies like Spark; - Experience with SingleStore. Responsibilities: - Utilize Java, including Spring Boot, to build robust and high-performance data processing services within our data platform; - Implement real-time data streaming solutions using Kafka, ensuring timely data ingestion and availability; - Collaborate closely with cross-functional teams to comprehend data requirements, identify opportunities for data optimization, and support data-driven initiatives; - Lead the design, development, and maintenance of efficient and scalable data pipelines, facilitating data collection, processing, and transformation from diverse sources; - Leverage AWS services for data storage, processing, and analytics, adhering to security and performance best practices; - Monitor and troubleshoot service performance, proactively identifying bottlenecks and implementing optimizations; - Uphold data integrity, reliability, and availability by implementing effective ETL processes and conducting data quality checks. What we offer: - We value your skills and ensure you’re rewarded accordingly; - Enjoy 15 days of annual leave to recharge and maintain a healthy work-life balance; - Fully remote work with a flexible setup; - Our supportive and approachable HR team is always here to help you thrive.

• Own the entire service from end-to-end: No committees or overzealous PMs, the destiny of the ingestion pipeline will be in your hands. • Build open-source software: You'll be able to show your Rust-fu to your friends and family (and security researchers too). • Build in the hot path: Your code will decide whether our customers and engineers have a good time or not. • Start from first principles: No cookie-cutter solutions here, you'll be safe from AI agents for a good while. • See immediate results: Small, confident, frequent steps forward – that's how we like to move. • Develop the infrastructure to capture data, process it reliably, and provide it to other parts of PostHog's platform, such as product analytics, feature flags, CDP, and more.

• Lead & Mentor a squad of engineers • Architect & Execute using Python expertise • Work closely with stakeholders for product ownership

• Designing and implementing scalable solutions powered by Akamai's Cloud Platform • Developing and maintaining data pipelines for ingesting, processing, and analyzing data • Creating new features from scratch, while enhancing and optimizing existing ones • Implementing Unit and Integration Tests • Participating in an On Call Rotation • Collaborating with various Stakeholders, such as Data Science, SecOps, and QA