Senior Backend Developer

Ellit Groups; Kuala Lumpur; On-site; MYR 180,000 - 240,000; Full time

Job summary

Ellit Groups in Kuala Lumpur seeks a senior software engineering leader to drive technical design, architecture, and AI‑driven workflows. You will guide cross‑functional teams, review architectures, and champion best practices across development, testing, deployment, and observability.

You will mentor engineers, promote scalable solutions, and collaborate with Data teams to leverage robust data foundations. This role emphasizes reliability, performance, and continuous improvement.

Qualifications

• Lead the technical design and implementation of scalable, maintainable software systems.
• Apply SOLID principles and clean architecture to engineering solutions.
• Provide clear technical direction to engineers and stakeholders.

Responsibilities

• Lead technical design and implementation of scalable, maintainable software systems.
• Apply strong design principles, patterns, SOLID, and clean architecture.
• Make sound technical decisions and guide engineers and cross‑functional teams.
• Review architecture, designs, and code for quality, scalability, security, and maintainability.
• Identify technical debt and drive improvements in reliability and productivity.
• Champion AI-first software development practices across the team.
• Apply agentic workflows using AI agents for coding, testing, debugging, and automation.
• Experiment with new AI tools and workflows to boost productivity and quality.
• Guide engineers to work with AI effectively, beyond just coding assistance.
• Establish best practices around prompting, context engineering, and human-in-the-loop workflows.
• Contribute to building reusable AI skills and workflows for the organization.
• Promote engineering best practices across development, testing, deployment, observability, and production operations.
• Conduct code and design reviews and ensure adherence to standards.
• Encourage CI/CD, observability, security, and operational excellence.
• Drive continuous improvements in development processes and productivity.
• Mentor engineers and develop their technical capabilities.
• Coach on software design, coding standards, system thinking, and engineering best practices.
• Foster knowledge sharing, ownership, experimentation, and continuous learning.
• Provide technical guidance enabling independent engineering decisions.
• Raise overall engineering maturity and quality of the team.
• Database and data engineering experience is an added advantage.
• Work with relational and NoSQL databases and understand core database concepts.
• Understand data modeling, indexing, queries, transactions, and performance.
• Collaborate with Data and Analytics teams for data-driven solutions.

Job description

Reponsibilities:

Technical Leadership & System Design

• Lead the technical design and implementation of scalable, maintainable, and reliable software systems.
• Apply strong software design principles, design patterns, SOLID principles, and clean architecture to engineering solutions.
• Make sound technical decisions and provide clear direction to engineers and cross-functional stakeholders.
• Review architecture, technical designs, and code to ensure quality, scalability, security, and maintainability.
• Identify technical debt and drive initiatives to improve system reliability, performance, and developer productivity.

AI & Agentic Ways of Working

• Champion AI-first software development practices across the engineering team.
• Understand and apply agentic workflows, including the use of AI agents for coding, testing, debugging, documentation, code reviews, and engineering automation.
• Experiment with and introduce new AI tools, agents, and workflows that improve engineering productivity and quality.
• Guide engineers in effectively working with AI rather than simply using AI as a coding assistant.
• Help establish best practices around prompting, context engineering, agent orchestration, validation, and human-in-the-loop workflows.
• Contribute to building reusable AI skills, agents, and engineering workflows for the wider organisation.

Engineering Excellence

• Establish and promote engineering best practices across development, testing, deployment, observability, and production operations.
• Conduct code and design reviews and ensure adherence to agreed engineering standards.
• Encourage CI/CD, observability, security, and operational excellence.
• Drive continuous improvements in development processes and engineering productivity.

Mentoring & Team member development

• Mentor engineers and help them grow their technical capabilities.
• Coach team members on software design, coding standards, system thinking, and engineering best practices.
• Create a culture of knowledge sharing, ownership, experimentation, and continuous learning.
• Provide technical guidance while enabling engineers to make independent decisions.
• Help raise the overall engineering maturity and quality bar of the team.

Data & Database

• Database and data engineering experience is an added advantage.
• Work effectively with relational and/or NoSQL databases and understand fundamental database concepts.
• Understand data modelling, indexing, query optimisation, transactions, and database performance.
• Collaborate with Data and Analytics teams where product and engineering solutions require strong data foundations.