Senior Full Stack Engineer

About the Company:

EverestEngineering is a global technology consultancy focused on building high-quality digital products with a human-centric engineering culture. Founded in 2018 with roots in Australia and India, Everest has grown into a distributed engineering organisation of 260+ engineers across multiple regions. Our Malaysian team is our newest chapter, operating as a remote-first engineering hub working with global clients and high-growth startups. We believe high performance comes from great people, strong engineering discipline, and sustainable work practices.

At Everest:

• We work five-day weeks with minimal overtime
• We prioritise psychological safety and continuous learning
• We believe great software comes from great engineering fundamentals

Learn more about our work: everest.engineering/our-work

About the Role:

We are looking for a Mid-Senior Full Stack Engineer with a consultative mindset who combines deep technical expertise with strong engineering judgment. This is not just a coding role, you will act as a technical partner and consultant to clients, helping translate complex product ideas into reliable, scalable systems. Additionally, you will work closely with client teams and Everest's engineers to design and deliver modern software systems, while championing best-in-class engineering practices across the stack. This role suits engineers who enjoy solving real product problems, shaping architecture decisions, and mentoring others through example.

Responsibilities:

• Shape Technical Direction: Drive architecture and technical decisions across the stack, balancing simplicity, scalability, reliability, and time-to-market.
• Build High-Quality Software: Design, develop, and operate modern cloud-native applications using clean architecture, testable code, and automated deployment pipelines.
• Partner with Clients: Work closely with product managers, designers, and stakeholders to turn ambiguous business problems into pragmatic engineering solutions.
• Advocate for Engineering Excellence where you will champion strong engineering practices including Test-Driven Development (TDD), Clean Architecture and Design Patterns, Secure Coding Standards, CI/CD Automation, and Observability, Monitoring, and Reliability.
• Mentor and Elevate Teams: Guide engineers through code reviews, technical discussions, and collaborative problem solving while helping strengthen overall team capability.
• Own Production Outcomes: Take responsibility for the health of the systems you build, including performance, reliability, and operational support.

Qualifications & Required Skills:

We are technology-agnostic, but our projects commonly involve the following technologies and skills:

• You have between 6 - 10 years of strong engineering fundamentals where you will bring deep experiences in System Design and Architecture, Scalable Backend Systems, Software Reliability and Performance, Secure Coding and Production Operations.
• Experience across both Backend Development (NodeJS,Python, Go, Ruby) and Frontend Development (ReactJS, Vue,TypeScript).
• Experience building and operating systems in Cloud environments such as AWS, Google Cloud, and/or Azure along with modern DevOps practices including CI/CD pipelines (GitHub Actions, Jenkins, CircleCI), Infrastructure automation, and/or Monitoring and Observability
• Demonstrated experience applying modern development practices across Test-Driven Development (TDD), Behaviour-Driven Development (BDD), Code review discipline, API design and Distributed Systems Architecture.
• Comfortable making engineering trade-offs and communicating technical decisions clearly to both technical and non-technical stakeholders.

Join us in shaping the future of engineering at Everest as we are evolving how we build software through AI-augmented engineering practices where you'll progressively work with:

• AI-Assisted Development using tools like Language Learning Models (LLM) to accelerate development and maintain code quality.
• Spec-Driven Development (SDD) where transforming product requirements into structured specifications that AI agents can help implement Agentic Workflows, and leveraging multi-agent coding systems to automate repetitive engineering tasks and improve delivery speed.