Software Engineer - Full stack

Damco Spain SL; Bengaluru; On-site; INR 1,500,000 - 2,700,000; Full time

Job summary

Maersk is hiring a Full-Stack Software Engineer in the Data & AI team to build data-driven applications across UI, backend, APIs, and integrations. You will prototype rapidly, translate requirements into production-ready solutions, and collaborate with data engineers and platform teams to enable AI-enabled insights.

The role emphasizes CI/CD, observability, and security, with production-grade delivery and strong engineering fundamentals. 3+ years of experience and a CS degree are favored.

Qualifications

• Strong software engineering fundamentals with backend/full-stack experience.
• Working knowledge of SQL, data analytics concepts, and data pipelines.
• Familiarity with cloud platforms, CI/CD, monitoring, troubleshooting, and DevOps practices.
• Basic knowledge of AI/ML concepts is an advantage.

Responsibilities

• Design and build practical, data-driven business applications using modern software engineering practices.
• Develop end-to-end solutions across UI, APIs, backend services, and data integrations.
• Create quick end-to-end prototypes to validate business requirements.
• Work with SQL, data flows, APIs, and basic pipeline concepts to integrate data into solutions.
• Support analytics and reporting use cases by understanding data structures and consumption needs.
• Collaborate with data engineers, platform teams, and product teams.

Education

BE / B.Tech in Computer Science

3+ years of software engineering experience

Job description

At Maersk, we are redefining global logistics through data, platform engineering, and AI-driven innovation. As part of this journey, we are building scalable platforms and intelligent systems that enable faster decision-making, operational efficiency, and seamless integration across the enterprise.

As a Full-Stack Software Engineer in the Data & AI team, you will build practical software solutions that help business users access, understand, and act on data and AI-driven insights.

You will work across user interfaces, backend services, APIs, and data integrations, with a working understanding of SQL, data flows, and analytics use cases. The role requires someone who can partner with product owners and business stakeholders to clarify requirements, build quick end-to-end prototypes, and help evolve validated solutions into production-ready products with appropriate engineering and DevOps practices.

Key Responsibilities:

Application Development & Prototyping

Design and build practical, data-driven business applications using modern software engineering practices

Develop end-to-end solutions across UI, APIs, backend services, and data integrations

Create quick end-to-end prototypes to validate business requirements and help evolve validated solutions into production-ready capabilities where needed

Work with SQL, data flows, APIs, and basic pipeline concepts to integrate data into end-to-end software solutions

Support analytics and reporting use cases by understanding data structures, business definitions, and consumption needs

Collaborate with data engineers, platform teams, and product teams where deeper data engineering or platform expertise is required

Full-Stack Software Engineering & Platform Development

Build scalable, secure backend services, APIs, and reusable components to support AI and data applications

Follow modern engineering practices including CI/CD, automated testing, observability, security, and DevOps ways of working

Cross-Functional Delivery

Work with product owners, business stakeholders, data teams, and platform teams to clarify requirements and deliver pragmatic end-to-end solutions

Translate business requirements and user feedback into working prototypes, technical designs, and implementation plans

Support integrations across enterprise applications where required

Operational Excellence

Build production-ready solutions that are reliable, scalable, secure, and supportable

Participate in DevOps ways of working, including CI/CD, monitoring, troubleshooting, support, and continuous improvement for solutions owned by the team

Contribute to automation, observability, and operational supportability across software, data integration, and analytics-enabled solutions

Our Ideal Candidate:

Strong software engineering fundamentals with hands-on experience in backend, full-stack, or application development

Curious, hands-on problem solver who is comfortable engaging with business stakeholders to understand the real requirement and deliver practical outcomes

Comfortable moving between rapid prototyping and production-grade engineering based on business need

Working understanding of SQL, data structures, data flows, basic pipeline concepts, APIs, and analytics use cases

Familiarity with cloud platforms, preferably Azure, and DevOps ways of working

Required Skills/Experience:

BE or B Tech in Computer Science or a related science/engineering discipline

More than 3 years of experience in software engineering, full-stack application development, or backend engineering with exposure to data-driven applications

Working knowledge of SQL, data analytics concepts, and basic data pipeline or ETL/ELT processes

Exposure to cloud platforms, CI/CD, monitoring, troubleshooting, and DevOps practices in a team-owned delivery model

Basic knowledge of AI/ML concepts or interest in building AI-driven solutions is an advantage

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.

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