Backend Software Engineer

• Design, develop, and maintain backend services for Digital Banking platforms that support high transaction volume, security, scalability, and reliability.
• Lead distributed systems design across service decomposition, asynchronous communication, fault tolerance, idempotency, backpressure, consistency of trade-offs, and graceful degradation.
• Build Java microservices, REST APIs, batch jobs, and event-driven workflows using modern engineering patterns.
• Contribute to workflow implementations and champion workflow orchestration best practices across services.
• Engage in hands-on design and development as part of a nimble agile team, contributing to architecture, code quality, delivery execution, and operational readiness.
• Ensure platforms are safely extensible, scalable, observable, reliable, and aligned to SLAs for internaland external users.
• Design solutions that are testable, intuitive, maintainable, and easy for engineering teams to operate over time.
• Actively participate in design reviews, code reviews, and engineering discussions for key components and cross-enterprise initiatives.
• Partner with stakeholders to translate business capabilities into secure, performant, and maintainable technical solutions.
• Provide technical mentorship to engineers, help teams overcome complex problems, and raise engineering standards across the team.

• 8+ years of software development experience; bachelor’s or master’s degree in computer science, computer engineering, or related technical discipline preferred.
• Strong hands-on backend engineering experience with Java and its frameworks.
• Extensive hands-on experience building distributed applications and operating scalable, low-latency services across complex enterprise environments.
• Strong understanding of REST APIs, JSON, XML, service contracts, integration patterns, and API lifecycle practices.
• Hands-on experience with Spring, Spring Boot, Spring Batch, JUnit, JDBC, Gradle/Maven, Jenkins, and modern CI/CD practices.
• Experience with Kafka or similar streaming/event-driven technologies; Kafka Streams experience is highly desirable.
• Practical knowledge of distributed systems, caching, high availability techniques, multi-threading, and performance analysis.
• Experience with relational and NoSQL databases such as PostgreSQL, MongoDB, and similar data platforms.
• Commitment to continuous integration, automated/repeatable testing, secure coding practices, and collaborative engineering environments.
• Ability to think abstractly, work through ambiguous problems, and enable business capabilities through
• pragmatic technical decisions.
• Excellent written and verbal communication skills with the ability to partner across engineering, product, architecture, and operations.
• Experience mentoring, coaching, and influencing engineers while remaining hands-on with design and development.

You have strong expertise with the following:

• Docker, Github capabilities, and deployment automation in modern platform environments.
• Payment systems, real-time transaction platforms, customer account management, data/reporting, or
• fintech APIs.
• Full-stack development exposure and/or Data side experience with Python, Hadoop, or Spark.
• Experience with in-memory computing solutions and advanced performance optimization techniques.
• Leadership experience in a fast-paced development environment, including technical ownership, design
• facilitation, and delivery of accountability.

Big Plus if you have: The primary focus of this role is core backend engineering. GenAI experience is a preferred differentiator for candidates who can apply AI responsibly in regulated enterprise environments.

• Exposure to LLM-powered applications, prompt engineering, structured outputs, or tool/function calling.
• Familiarity with Retrieval-Augmented Generation patterns such as ingestion, chunking, embeddings,
• vector search, reranking, and relevance tuning.
• Awareness of GenAI guardrails, evaluation approaches, hallucination mitigation, PII handling, prompt
• injection risks, and data leakage controls.
• Experience with AWS services such as EC2, RDS, S3, and SQS, along with cloud-native architecture
• and DevOps practices.
• Experience working with governance practices such as data governance, secure data access, shared
• schemas, service contracts, auditability, compliance controls, and risk-aware engineering in regulated
• environments.
• Experience contributing to platform architecture across shared services, APIs, identity, payments,
• partner ecosystems, data governance, and modernization efforts.