Software Engineer - Java and Spring Boot

APM Terminals; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Maersk is seeking a JL3 Software Engineer to build and run core services in the MRE ecosystem. You will develop backend Java/Spring Boot microservices, integrate via Kafka and APIs, and ship resilient scalable flows that influence pricing and downstream systems.

You will apply AI-assisted practices with GitHub Copilot and Cursor, participate in CI/CD, observability, and secure engineering patterns, collaborating with product, architecture, and platform teams to deliver measurable business value.

Qualifications

• Strong backend engineering fundamentals with Java/Spring Boot.
• Experience with Kafka or equivalent messaging platforms and REST APIs.
• Understanding of distributed systems, concurrency, retries, idempotency, and eventual consistency.

Responsibilities

• Build and own backend Java/Spring Boot services for rate ingestion, validation, transformation, and publishing.
• Design robust API/event integration patterns between MRE and connected systems.
• Improve reliability, latency, throughput, and fault tolerance of distributed services.

Skills

Java (11+/17+)

Spring Boot

Kafka

Distributed systems

Azure AKS

CI/CD

AI-assisted tools

Education

Bachelor's degree in CS/IT/Engineering

Tools

GitHub Copilot

Cursor

Job description

Team/Opportunity: We are hiring a JL3 Software Engineer to build and run core services in the Maersk Rate Engine (MRE) ecosystem. You will work on high-scale rate flows across various upstream, master data, and downstream execution systems through Kafka events and APIs, building resilient microservices and integrations that directly impact pricing quality, speed, and downstream commercial systems. You will also leverage AI-assisted engineering practices to accelerate delivery, improve software quality, and enhance operational efficiency. This includes practical use of tools such as GitHub Copilot, Cursor, and AI-powered development workflows, as well as leveraging AI-enabled capabilities and engineering solutions where they create measurable business and operational value. The role combines strong backend engineering fundamentals with a modern AI-enabled software development mindset.

What You'll Do

• Build and own backend services in Java and Spring Boot for rate ingestion, validation, transformation, and publishing.
• Design robust integration patterns (APIs and events) between MRE and connected systems.
• Improve reliability and performance of distributed services, including latency, throughput, fault tolerance, and recovery.
• Implement observability practices through metrics, logging, tracing, and alerting, and participate in production incident response and root cause analysis.
• Contribute to secure engineering practices including authentication, authorization, secrets management, and service hardening.
• Work in modern delivery workflows using GitHub, GitHub Actions, CI/CD, code reviews, and AI-assisted engineering tools such as GitHub Copilot and Cursor to improve software quality and delivery speed.
• Collaborate with product, architecture, and platform teams on technical design and delivery.
• Design and build services that enable automation, operational insights, and data-driven decision-making across the MRE ecosystem.
• Collaborate with platform and architecture teams to evaluate and adopt emerging AI technologies, patterns, and engineering practices that improve developer experience and operational excellence.
• Contribute to observability and analytical capabilities that support predictive monitoring, anomaly detection, and operational insights.
• Own and operate production services, ensuring high availability, rapid incident resolution, and continuous operational improvement.

Must-Have Skills & Experience

• 3–6 years of backend engineering experience (JL3 level).
• Strong coding skills in Java (11/17+) and Spring Boot microservices.
• Good understanding of distributed systems fundamentals, including concurrency, idempotency, retries, circuit breakers, and eventual consistency.
• Hands-on experience with Kafka (or equivalent messaging platforms), REST APIs, and integration-heavy services.
• Experience deploying and operating workloads on Azure, preferably AKS and related cloud services.
• Familiarity with CI/CD and Git-based engineering workflows using GitHub.
• Familiarity with AI-assisted engineering tools such as GitHub Copilot, Cursor, or equivalent platforms.
• Strong debugging skills, ownership mindset, and communication skills.

Education

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline (or equivalent practical experience).

Good-to-Have

• Experience in pricing, rates, logistics, transportation, or supply chain domains.
• Exposure to performance tuning of high-volume transactional systems.
• Experience integrating AI services, LLM APIs, or intelligent automation capabilities into enterprise applications.
• Exposure to Azure AI, OpenAI, MLOps concepts, or model-serving platforms.
• Experience using AI-assisted engineering tools in design, development, testing, and code review workflows.

What Success Looks Like

• Successfully delivers multiple production features within the MRE platform with minimal supervision.
• Owns at least one critical MRE service or integration flow end-to-end.
• Improves one measurable system KPI such as service reliability, latency, throughput, incident reduction, data quality, or mean time to recovery (MTTR).
• Maintains high engineering quality through automated testing, observability, code reviews, and operational best practices.
• Demonstrates effective use of AI-assisted development tools to accelerate delivery and improve engineering efficiency.
• Becomes a trusted contributor in technical design discussions and cross-team engineering initiatives.
• Consistently exhibits ownership, accountability, and a customer-focused mindset in delivering business-critical solutions.

Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing [e-mail].

A.P. Moller - Maersk is an integrated container logistics company working to connect and simplify its customer's supply chains. As the global leader in shipping services, the company operates in 130 countries and employs roughly 100,000 people. With simple end-to-end offering of products and digital services, seamless customer engagement and a superior end-to-end delivery network, Maersk enables its customers to trade and grow by transporting goods anywhere - all over the world. For more information. All the way.