Jobs at NAB

Design, develop, test, deploy and maintain Java-based microservices. Contribute to system design and documentation, support production fail/fix, implement CI/CD and automated testing, and ensure cloud-native performance and resilience. Collaborate with stakeholders and support post-implementation reviews.

Design, build, and optimize large-scale data pipelines and Spark workloads; develop dbt transformations and PostgreSQL data models; implement ingestion using Lambda, Airflow, and PySpark; build Java/Spring Boot microservices; ensure AWS-native monitoring and data security; automate orchestration and CI/CD; collaborate with analysts and data scientists; provide technical leadership and mentor junior engineers.

Design, build, and optimize scalable AWS data solutions: Spark and PySpark workloads, DBT transformations, PostgreSQL tuning, Lambda-based ingestion, Airflow orchestration, Java/Spring Boot microservices, CI/CD and monitoring, and mentor junior engineers to ensure data reliability and security.

Design, build, and optimize scalable AWS data solutions: Spark workloads, DBT transformations, PySpark ingestion, PostgreSQL models, Airflow orchestration, Lambda functions, and Java/Spring Boot microservices. Ensure data reliability with AWS monitoring, apply security best practices, collaborate with analysts and data scientists, and provide technical leadership and mentorship.

Lead and deliver cloud-native, mission-critical microservices platforms (Java/Spring Boot/Kafka) across the full SDLC. Drive architecture, CI/CD, automated testing, resilience, documentation, and operational feasibility. Mentor engineering teams, influence stakeholders, ensure quality and regulatory compliance, and improve software delivery practices. Payments/financial services experience preferred.

Lead multiple engineering scrum teams owning service delivery and roadmaps. Ensure mission-critical Java/Spring Boot microservices at scale, cloud-native resilience (AWS/Azure), CI/CD and DevOps adoption, performance engineering, stakeholder alignment, and people leadership to drive business outcomes and innovation.

Design, build, and optimize scalable AWS data solutions: Spark/PySpark workloads, dbt transformations, PostgreSQL models, Lambda ingestion, Airflow orchestration, and Java/Spring Boot microservices. Ensure data reliability, security, CI/CD, and mentor junior engineers.

Design, build, and optimize distributed Spark and PySpark workloads and dbt models; develop data ingestion pipelines with Lambda and Airflow; create high-performance PostgreSQL schemas and queries; build/maintain Java/Spring Boot microservices; ensure data reliability with AWS monitoring tools; implement security best practices (IAM, KMS, VPC); collaborate with analytics/product teams and mentor junior engineers.

The Data Engineer will build and optimize data pipelines, using SQL and Python while working collaboratively to support business analytics and AI initiatives.

Lead deployment and ongoing governance of Active Operations Management (AOM). Coach leaders, facilitate workshops, drive AOM certification, embed metric-driven improvements, analyze operational data for insights, manage enterprise change requests, and engage senior stakeholders to realize efficiency and service benefits.

Lead quality engineering for ServiceNow platform: design and execute automated and manual tests, embed shift-left practices, validate integrations (REST/SOAP), manage end-to-end testing streams, reduce defects, and ensure production readiness through ATF-driven automation and stakeholder collaboration.

Lead technical delivery and stakeholder relationships for scalable, secure web services. Hands-on in architecture, implementation, CI/CD, cloud solutions, messaging systems, databases, team mentoring and project financials.

Design, build, and maintain scalable data pipelines, implement data quality and governance, optimize data processing performance, and collaborate with data scientists, analysts, product teams, and stakeholders to deliver analytical solutions that meet business needs.

Senior Analyst Engineer at NAB India Innovation Centre supporting technology and operations excellence. Contribute to innovation, deliver customer-focused technology solutions, collaborate with cross-functional teams, and benefit from hybrid working, professional development, and an inclusive culture focused on high performance and positive community impact.

Senior executive role at NAB Innovation Centre India focused on leading operations and technology excellence, recruiting and developing high-performing teams, and driving innovation to deliver better, faster, and more personalized customer experiences while fostering an inclusive workplace and colleague development.

Design, develop, test, debug and maintain mainframe applications using COBOL, JCL, VSAM, DB2, IMS, Assembler and CICS. Implement unit and integration tests, CI/CD and DevOps practices, automate build/test/deploy, optimize performance, maintain documentation, and use modern IDEs and source control (VS Code, Endevor, Git). Embrace cloud-native Java/Python and AI/ML-assisted refactoring and modernization.

Senior leadership role at NAB Innovation Centre India to drive operations and technology excellence, recruit and develop high-performing teams, and deliver better, faster, personalized customer experiences while supporting inclusive culture and colleague development.

Join NAB Innovation Centre India as an Analyst to support operations and technology excellence. Contribute to delivering faster, better, personalized customer experiences, collaborate in a diverse inclusive workplace, and grow through development programs and flexible working arrangements.

Lead technical strategy and architecture, design and deliver complex systems, mentor engineering teams, drive best practices, and collaborate with stakeholders to ensure high-quality product outcomes.

Lead Java enterprise architecture and hands-on development including PoCs for AI adoption, reduce technical debt, design resilient microservices, implement event-driven systems, ensure security, reliability, performance, and CI/CD practices while guiding stakeholders and engineering teams.