Software Engineer at BP in Kuala Lumpur
- Company: BP
- Location: Malaysia - Kuala Lumpur
- Job type: full time
- Workplace: onsite
- Posted: 2026-11-03
Job description
Entity: Technology Job Family Group: IT&S Group Job Description: BP International Limited is seeking a talented Software Engineer to design, develop, and support digital products that enable critical trading, shipping and business operations. Working as part of a multidisciplinary agile team, you will build scalable web, mobile, cloud, and AI-enabled solutions while partnering closely with business users, product managers, and stakeholders across the organization. This role requires strong software engineering fundamentals, a customer-focused mindset, and the ability to leverage modern development tools, including generative AI, to deliver innovative technology solutions that create measurable business value. Key Responsibilities Design, develop, test, deploy, and maintain business-critical applications and services across web, mobile, API, and cloud platforms. Partner directly with business users and stakeholders to understand operational processes, gather requirements, identify opportunities for improvement, and translate business needs into effective technical solutions. Build modern software solutions using technologies such as C#, .NET, React, TypeScript, Flutter, AWS, SQL Server, REST APIs, and event-driven architectures. Collaborate with product managers, architects, designers, and engineers to deliver high-quality products and features. Participate in all agile delivery activities including planning, estimation, refinement, sprint reviews, and retrospectives. Develop integrations with enterprise platforms and third-party systems to support end-to-end business workflows. Leverage AI-assisted development tools and generative AI technologies to improve productivity, accelerate delivery, and enhance solution design. Contribute to automation initiatives and digital capabilities that improve user experience, operational efficiency, and business outcomes. Apply engineering best practices including code reviews, automated testing, CI/CD pipelines, monitoring, and observability. Ensure solutions are secure, resilient, scalable, and aligned with enterprise technology and cybersecurity standards. Investigate and resolve production issues, continuously improving system reliability, performance, and maintainability. Share knowledge, mentor team members, and contribute to a collaborative engineering culture focused on innovation and continuous improvement. Required Experience & Skills Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related discipline, or equivalent practical experience. Experience developing software applications using modern programming languages and frameworks such as C#, .NET, React, TypeScript, Flutter, JavaScript, or similar technologies. Experience building and consuming RESTful APIs and integrating with enterprise systems and services. Knowledge of cloud-native development and deployment practices, preferably on Microsoft Azure. Experience working with relational databases such as SQL Server and familiarity with modern data management practices. Understanding of software development lifecycle practices, including source control, automated testing, CI/CD, and DevOps methodologies. Strong analytical and problem-solving skills with the ability to solve complex technical and business challenges. Excellent communication and stakeholder engagement skills, with the ability to work directly with business users and translate complex requirements into practical technology solutions. Demonstrated aptitude for building trusted relationships with business stakeholders and collaborating effectively across technical and non-technical teams. Experience working in agile product teams and contributing to iterative delivery. Strong aptitude for effectively utilizing AI-powered tools, generative AI platforms, and prompt-based workflows to support software development, problem solving, and business process automation. Exposure to AI, machine learning, intelligent automation, or generative
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