Associate Software Engineer at A.P. Moller - Maersk

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

16 Oct, 26

Salary

0.0

Posted On

18 Jul, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Development, Code Refactoring, Technical Debt Resolution, Process Automation, DevOps, CI/CD, Dashboard & Reporting, AI/ML Fundamentals, SQL, Git, Problem Solving, Agile Collaboration

Industry

Logistics;Transportation;Supply Chain and Storage

Description

Associate Software Engineer – Vessel Operations Job Summary We are seeking an Associate Software Engineer to join the Vessel Operations team. In this role, you will contribute to developing and maintaining software solutions that support vessel operations while improving system performance, automation, and operational efficiency. You will work closely with Engineering, Product, and QA teams to build scalable applications, reduce technical debt, automate workflows, and support data-driven solutions. The ideal candidate is passionate about software development, problem-solving, and learning modern engineering practices. Key Responsibilities Develop, enhance, and maintain software applications supporting vessel operations. Analyse business requirements and translate them into scalable software solutions. Identify and refactor legacy code to improve performance, maintainability, and reliability. Standardize logging, error handling, and contribute to code cleanup and documentation. Build internal tools and automate repetitive engineering and reporting tasks. Support CI/CD pipeline improvements and DevOps practices. Contribute to dashboards and reporting solutions for operational insights. Explore AI/ML use cases such as predictive maintenance and anomaly detection. Participate in code reviews, Agile ceremonies, testing, and bug resolution. Ensure build quality, follow branching strategies, and contribute to timely product delivery. Required Qualifications Bachelor’s degree in computer science, Software Engineering, Information Technology, or a related field. 0–2 years of software development experience, including internships or academic projects. Knowledge of one or more programming languages such as C#, Java, Python, or JavaScript. Basic understanding of SQL, Git, and software development principles. Strong analytical, problem-solving, and communication skills. Preferred Qualifications Exposure to DevOps, CI/CD, cloud platforms, or automation tools. Basic knowledge of AI/ML concepts or dashboarding tools (Power BI, Tableau, Grafana). Familiarity with REST APIs, Agile methodologies, and software testing. Skills Software Development Code Refactoring & Technical Debt Resolution Process Automation DevOps & CI/CD Fundamentals Dashboard & Reporting AI/ML Fundamentals SQL & Git Problem Solving Agile Collaboration What We Offer Opportunity to work on impactful vessel operations solutions. Mentorship from experienced engineering professionals. Collaborative and innovation-driven work environment. Career growth and learning opportunities. 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 accommodationrequests@maersk.com.

Responsibilities

Develop and maintain software applications to support vessel operations while improving system performance and automation. Collaborate with cross-functional teams to reduce technical debt and implement data-driven solutions like AI/ML for predictive maintenance.