Senior Go Engineer to build secure, scalable backend solutions for the banking industry, contributing to architectural decisions and taking ownership of services from design through production.
Locations (2)
Vilnius, Vilnius City Municipality, Lithuania
Poland
Compensation
For employees: 5 500 EUR to 7000 EUR monthly (gross).
For contractors: 35 EUR to 45 EUR per hour (plus VAT).
Responsibilities
Design, develop, and maintain reliable backend services and APIs in Go
Build secure integrations between systems, ensuring data consistency and resilient processing through appropriate transaction handling, retries, and idempotency
Contribute to architectural decisions, evaluate technical trade-offs, and improve application performance, scalability, and maintainability
Ensure software quality through automated testing, code reviews, monitoring, and troubleshooting production issues
Collaborate with cross-functional teams, share engineering knowledge, and use approved AI-assisted development tools while validating the quality and security of their output
Define, design, and maintain enterprise AI solution architecture, technical standards, design patterns, and integration approaches supporting SIAM and ITSM.
Compensation
Salary Range: $75.00 - $78.00/Hour on W2 (Without Benefits).
Responsibilities
Define and maintain the AI solution architecture, technical standards, design patterns, and integration approach supporting SIAM and ITSM.
Provide architectural and technical oversight for the Enterprise AI & Copilot Developer and Senior ServiceNow AI Developer.
Work with SMO Global Process Owners and SIAM Leads to identify, assess, prioritize, and architect AI opportunities that improve service management and SIAM capabilities.
Determine the appropriate technology and architecture for AI use cases, including Microsoft 365 Copilot, Copilot Studio, ServiceNow AI, Azure AI services, custom AI solutions, and supporting enterprise technologies.
Design architectures for AI agents, multi-agent solutions, orchestration, enterprise knowledge, RAG, workflows, APIs, connectors, MCP integrations, and other enterprise integration patterns.
Requirements
Bachelor’s degree in computer science, Information Technology, Software Engineering, Artificial Intelligence, Information Systems, or a related technical discipline required or equivalent relevant professional experience; master's degree preferred.
Nice to have: Microsoft certifications related to Azure AI, solution architecture, Power Platform
