
1001 - 5000 employees
Founded 2002
đŒ Consulting
đ„ Healthcare
đ Automotive
Consulting âą Healthcare âą Automotive
Sigma Software Group is a multinational company, established in 2002, that specializes in providing high-quality software development, graphic design, testing, and support services. The company focuses on delivering solutions across various industries such as automotive, telecommunications, aviation, advertising, gaming, banking, real estate, and healthcare. Sigma Software values professional growth, offers remote work opportunities worldwide, and caters to world-renowned clients like AstraZeneca, Scania, and SAS. The company emphasizes a culture of continuous education, mentorship, and flexible work environments, making it a preferred workplace for IT specialists aiming to work on complex solutions utilizing cutting-edge technologies. Sigma Software is committed to innovative solutions and engineering the future while also contributing to social causes such as charitable work in Ukraine.
đ„ 31 minutes ago
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1001 - 5000 employees
Founded 2002
đŒ Consulting
đ„ Healthcare
đ Automotive
Consulting âą Healthcare âą Automotive
Sigma Software Group is a multinational company, established in 2002, that specializes in providing high-quality software development, graphic design, testing, and support services. The company focuses on delivering solutions across various industries such as automotive, telecommunications, aviation, advertising, gaming, banking, real estate, and healthcare. Sigma Software values professional growth, offers remote work opportunities worldwide, and caters to world-renowned clients like AstraZeneca, Scania, and SAS. The company emphasizes a culture of continuous education, mentorship, and flexible work environments, making it a preferred workplace for IT specialists aiming to work on complex solutions utilizing cutting-edge technologies. Sigma Software is committed to innovative solutions and engineering the future while also contributing to social causes such as charitable work in Ukraine.
âą Develop and maintain high-performance back-end microservices and AI-enabled services using TypeScript and Node.js âą Design, implement, and integrate AI- and LLM-powered platform features âą Build scalable serverless solutions using AWS Lambda, API Gateway, DynamoDB, and EventBridge âą Collaborate with cross-functional teams on API-first architecture and OpenAPI specifications âą Ensure tenant data isolation and compliance with established AdTech data models âą Contribute to reusable libraries, templates, AI integration patterns, and engineering standards âą Participate in code reviews focused on performance, reliability, observability, and service quality âą Translate product and AI feature requirements into scalable technical solutions âą Support the platform transformation toward automation, standardization, and intelligent reusability âą Contribute to continuous improvement initiatives and technical decision-making processes
âą 7+ years of commercial experience as a Back-end Developer âą Strong hands-on experience with TypeScript and Node.js âą Experience building API-first microservice architectures âą Practical experience integrating AI services, LLM APIs, or AI-assisted workflows âą Hands-on experience with AWS serverless technologies including Lambda, API Gateway, DynamoDB, and EventBridge âą Understanding of RESTful and GraphQL APIs âą Knowledge of prompt engineering concepts and AI integration approaches âą Understanding of multi-tenant architectures and logical data isolation principles âą Interest in AdTech products, automation, and AI-driven optimization âą Upper-Intermediate or higher English level âą Strong analytical and problem-solving skills âą Proactive and ownership-driven mindset âą Passion for modern Back-end engineering and AI technologies âą Ability to collaborate effectively within distributed international teams âą Interest in innovation, experimentation, and continuous learning âą Strong communication skills and attention to engineering quality âą Plus: Experience with ML and AI experimentation projects âą Plus: Exposure to recommendation systems or data intelligence platforms âą Plus: Experience working with vector databases âą Plus: Familiarity with Infrastructure as Code tools such as Terraform or CloudFormation âą Plus: Understanding of observability and monitoring practices in distributed systems âą Plus: Experience working with scalable cloud-native architectures
âą Remote work arrangement âą Opportunity to grow expertise in AI integrations, cloud platforms, and scalable distributed systems âą Work on a product trusted by globally recognized publishers âą Distributed international team collaboration âą Continuous learning and experimentation opportunities
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