Senior Full Stack Developer

Алматы

Описание вакансии

About the Customer

This is a global energy technology company helping customers generate, transmit and transform energy reliably and sustainably. From power generation and grid technologies to renewable energy, our products, services and digital solutions help drive the energy transition. Join us to build software with real-world impact on the future of energy.

Your role

You will develop scalable, high-quality digital products for Energy business units and global functions, serving internal and external customers. We aim to be the company's most valued in-house delivery partner and a global software engineering leader. Across business areas, we harmonize tools, services and engineering practices to strengthen our digital foundation, accelerate delivery and enable remote diagnostics.

As a Senior Full Stack Developer, you will own end-to-end features across frontend applications, backend services and data layers, and help shape distributed product architecture. Working with product teams, designers, architects and domain experts, you will turn business needs into reliable, maintainable software and intuitive user experiences. We value architectural thinking, engineering principles and pragmatic technology choices over specialization in any one language or framework.

You will work in a multicultural environment, collaborating with colleagues across countries and backgrounds.

How you will make an impact

Design, develop and evolve end-to-end features for distributed web and edge solutions, balancing usability, scalability, resilience, security, maintainability and cost.
Build responsive, accessible user interfaces and reusable components; collaborate with UX/UI designers to translate user journeys and designs into intuitive, consistent experiences.
Translate business and system requirements into clear designs, APIs and integration contracts; connect frontend and backend layers in collaboration with product teams, architects and domain experts.
Build and optimize relational and NoSQL data models, database schemas, queries and data flows for reliable access and efficient processing.
Own software quality through unit, integration and end-to-end testing, code reviews and continuous refactoring; diagnose and improve frontend performance and production reliability.
Use modern LLM tools and AI-assisted workflows to accelerate development, testing and refactoring, while critically validating generated outputs.
Create and maintain architecture documentation, architecture decision records (ADRs), API specifications, component guidance and operational runbooks, using LLM-assisted approaches to keep documentation clear, accurate and aligned with the code.
Collaborate on CI/CD, containerized deployments, monitoring and logging across the stack; improve engineering processes and contribute reusable components and shared platform capabilities.
Mentor colleagues, share knowledge and work effectively in an agile, international, cross-functional team.

What you bring

Must Have

Senior full-stack experience: 5+ years of professional software development, with hands-on ownership of production web applications across frontend and backend with strong coding skills within some of these languages: TypeScript/Python/C#.
Frontend engineering: strong TypeScript; practical experience with React, Angular or a comparable framework, component-based design, state management, responsive layouts and accessibility.
Architecture and engineering fundamentals: proven ability to design and evolve modular web applications, explain frontend/backend trade-offs and apply sound principles for reliability, security and scalability.
Data and integration: strong SQL and relational data modeling, schema and query optimization, practical understanding of NoSQL databases, and experience designing and integrating RESTful APIs.
Web application security: practical understanding of authentication, authorization, secure client-server communication and common web risks such as XSS and CSRF; ability to apply secure coding practices across the stack.
Delivery and operations: practical experience with a major cloud platform (such as AWS or Azure), Git, Linux, Docker, CI/CD and automated testing across frontend and backend; ability to troubleshoot using logs and monitoring.
LLM-assisted development: confident, hands-on use of modern large language model (LLM) tools and approaches, such as GitHub Copilot or enterprise-approved assistants, for implementation, tests and refactoring; effective context and prompt design and critical review of generated output.
LLM-assisted documentation: demonstrated ability to create and continuously maintain technical documentation with LLM tools, including architecture decisions, API references, component documentation and runbooks; verify accuracy, traceability and consistency with implementation.
Responsible AI use: apply human review, testing and secure handling of code and data; understand LLM limitations and follow company confidentiality and security policies.
Collaboration and ownership: communicate clearly with engineers, business stakeholders and customers, contribute to code reviews and mentoring, and work independently as well as in a team.
English: upper-intermediate (B2) or above, with confidence writing technical documentation and collaborating in an international environment.

Nice to Have (Beneficial)

Preferred backend languages: Python and/or C#. However, we value analytical and systems thinking and understanding of modern programming languages and paradigms over specific technology expertise.
Platform experience: building or extending shared software platforms, reusable frontend components and backend services or working within a platform engineering team.
UI and data visualization: experience with design systems, UI libraries (such as MUI), visualization libraries (such as D3.js or ECharts) or complex data-driven interfaces.
Cloud and on-premises engineering: experience deploying and operating full-stack applications across cloud, on-premises or hybrid environments using Infrastructure as Code, Kubernetes and automated delivery; familiarity with secure networking, observability, resilience and event-driven messaging such as Kafka or RabbitMQ.
Integration and data engineering: GraphQL, gRPC/Protobuf, WebSockets; ETL pipelines, data modeling tools or semantic models (RDF/OWL).
Education and domain understanding: higher education in Computer Science, Electrical Engineering, Manufacturing and Automation, or Mechanical Engineering and Materials or a general understanding of at least one of these engineering domains.