Staff SE - Java+Data

Responsibilities:

• Design, develop, and optimise highly scalable backend services and distributed systems using Java, Spring Boot, microservices, REST APIs, and event-driven architectures.
• Own complex technical solutions from design through implementation, testing, deployment, observability, and production support.
• Define and influence technical architecture across multiple services and teams, balancing scalability, reliability, performance, security, and maintainability.
• Build reusable components, frameworks, APIs, and engineering capabilities that improve developer productivity and accelerate product delivery.
• Design and implement event-driven solutions using technologies such as Apache Kafka, ensuring reliable and scalable communication across distributed services.
• Integrate backend applications with enterprise data platforms and support batch and streaming data processing use cases.
• Apply working knowledge of Apache Spark and distributed data processing concepts when developing or integrating data-intensive applications.
• Collaborate with Data Engineering, AI/ML, Platform, Infrastructure, and Product teams to deliver scalable solutions supporting operational, analytical, and AI/ML workloads.
• Drive engineering excellence through code reviews, architecture reviews, automated testing, CI/CD, observability, performance engineering, and operational best practices.
• Identify and resolve complex production issues through structured debugging, root cause analysis, and sustainable corrective actions.
• Mentor engineers through technical guidance, design discussions, code reviews, and knowledge sharing.
• Influence engineering standards, design patterns, and best practices across teams.
• Evaluate emerging technologies and drive adoption of solutions that improve scalability, reliability, developer productivity, and customer experience.
• Maintain architectural decision records and communicate technical decisions, trade-offs, and long-term implications to stakeholders.
• Partner with Product and business stakeholders to translate complex requirements into scalable and measurable technical solutions.

Requirements:

• 10+ years of software engineering experience with significant experience building and operating large-scale backend applications.
• Strong hands-on expertise in Java and modern backend frameworks such as Spring Boot.
• Deep understanding of microservices, distributed systems, API design, and event-driven architectures.
• Strong experience with REST APIs, asynchronous processing, messaging systems, and SQL/NoSQL databases.
• Experience with Apache Kafka or similar distributed messaging and streaming technologies.
• Working knowledge of data engineering concepts, including ETL/ELT, batch and streaming processing, data pipelines, and data quality.
• Familiarity with Apache Spark or other distributed data processing frameworks; hands-on experience is a plus.
• Understanding of cloud-native development and experience with platforms such as Azure, AWS, or GCP.
• Experience with Docker, Kubernetes, CI/CD, and observability/monitoring.
• Strong understanding of software architecture, design patterns, performance optimisation, resiliency, and fault-tolerant systems.
• Experience designing systems for high availability, scalability, and operational excellence.
• Strong problem-solving skills with the ability to simplify complex technical problems and make sound architectural decisions.
• Ability to influence technical direction across teams without relying on formal authority.
• Demonstrated ability to mentor engineers and raise engineering standards across the organisation.
• Strong communication and collaboration skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
• Passion for continuous learning, innovation, automation, and improving engineering productivity.
• Experience integrating AI/ML capabilities or GenAI tools into software solutions is a plus.