We are looking for a strong Tech Lead with deep software engineering and backend expertise to lead a small engineering team and take ownership of technical decisions, architecture, and engineering quality.
This is a hands-on role — you will drive the technical direction of the team while staying deeply involved in production development, architecture, and solving complex engineering challenges.
You will lead a small cross-functional team consisting of 3 Software Engineers and 2 QA Engineers.
Our core backend stack is Go, so we are looking for someone with strong commercial Golang experience and a solid background in building scalable, distributed systems.
We also expect you to actively leverage AI tools to improve engineering quality, productivity, and development velocity.
Responsibilities
- Lead the technical direction of the team and own key architecture decisions.
- Design and develop scalable backend services and APIs using Go.
- Stay hands-on with production code and solve complex technical challenges.
- Design reliable, scalable, and maintainable distributed systems.
- Lead code reviews and maintain high engineering standards across the team.
- Improve system performance, reliability, observability, and scalability.
- Identify technical risks, bottlenecks, and areas for improvement.
- Mentor Software Engineers and support their technical growth.
- Help increase team productivity and improve engineering efficiency.
- Collaborate closely with Product, QA, and other engineering teams.
- Continuously improve development processes, engineering practices, and delivery quality.
- Actively use AI-powered development tools to accelerate engineering workflows and improve code quality.
Requirements
- 7+ years of software engineering experience.
- Strong commercial experience with Go (Golang).
- Strong backend and software engineering background.
- Experience designing scalable architectures and distributed systems.
- Strong understanding of microservices architecture and asynchronous communication patterns.
- Solid experience with PostgreSQL, Redis, and REST APIs.
- Experience with message brokers such as RabbitMQ, Kafka, or similar.
- Experience with Docker and CI/CD pipelines.
- Experience leading engineers and driving technical and architectural decisions.
- Strong hands-on approach — you are comfortable staying close to the code and contributing to production development.
- Strong understanding of engineering best practices, code quality, testing, and system reliability.
- Experience using AI development tools such as Cursor, GitHub Copilot, Claude Code, or similar in daily development.
Nice to Have
- Experience with Kubernetes and GitOps.
- Experience building high-load or high-availability systems.
- Experience with event-driven architectures.
- Experience with Web3, blockchain, fintech, or other transaction-heavy products.
- Experience integrating LLM APIs or AI capabilities into production products.
- Experience with TypeScript / Node.js or other backend technologies.
Benefits
- Professional growth: support for courses, conferences, and English learning (up to 100% coverage).
- Work-life fit: remote or hybrid format with flexible hours across international teams.
- Paid leave: up to 20 vacation days + 8 company holidays + 5 personal days per year
- Recognition programs: structured performance reviews and team awards.
- Team culture: retreats in international locations (for example, company apartments in Cyprus).
Similar Jobs
What you need to know about the Chicago Tech Scene
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory



