Senior Go Engineer

We’re looking for a Go Engineer to join our team on a project with one of the world’s largest network infrastructure providers. The client is a Fortune 500 organization operating globally and developing next-generation platforms that support complex enterprise service delivery.
You will join a team working on a modern service order management platform built in Golang and Temporal, with a JSON-based service catalog and a highly automated, AI-assisted development model.
This is a hands-on engineering role for someone who can quickly understand a complex existing platform, work effectively with a large codebase, troubleshoot issues across application and cloud environments, and make sound engineering decisions.
The role is expected to start as a strong individual contributor at Principal/Senior level, with the potential to take broader technical leadership responsibilities as the engagement evolves.
A key aspect of the project is its AI-native, spec-driven development approach. Engineers act as the “human in the loop” throughout the development lifecycle: reviewing generated specifications, validating implementation decisions, inspecting code and tests, debugging issues, and guiding AI-assisted development toward production-quality outcomes.

Technology Environment

Primary Language: Golang
Workflow Orchestration: Temporal
Platform Model: JSON-based service catalog and workflow-driven services
Architecture: Distributed systems and service-oriented / microservices architecture
Cloud: Cloud-based production environments
Infrastructure: Containerized environments, Kubernetes
Development Approach: AI-assisted, spec-driven software development
Additional technologies: Exact cloud services, observability, messaging, databases, and platform tooling will depend on the specific system area and will be discussed during the technical interview.

Responsibilities

• Design, develop, maintain, and enhance core platform capabilities using Golang.
• Work with Temporal-based workflows and services running on top of the core platform.
• Quickly understand and navigate an existing complex codebase.
• Analyze technical problems across application, platform, and cloud environments.
• Contribute hands-on to implementation, debugging, testing, and production readiness.
• Act as a human-in-the-loop engineer within an AI-assisted development process.
• Review AI-generated specifications before implementation.
• Validate AI-generated code, tests, and technical decisions rather than accepting generated output without engineering review.
• Identify missing requirements, edge cases, security concerns, scalability issues, and implementation gaps.
• Guide AI tooling through iterative specification, implementation, testing, and correction cycles.
• Review code and automated tests and ensure engineering quality.
• Participate in architectural and technical design discussions.
• Help establish and maintain engineering standards and development practices.
• Collaborate closely with client engineers, architects, platform teams, and other technical stakeholders.
• Provide technical guidance and mentoring to other engineers where required.
• Potentially take on Lead responsibilities as the team and engagement evolve.

Candidate Requirements

Must-have

• Strong hands-on professional experience with Golang.
• Strong overall software engineering background.
• Ability to understand and work effectively with large and unfamiliar codebases.
• Strong debugging and problem-solving capabilities.
• Experience designing and developing distributed or service-oriented applications.
• Experience working with cloud-based environments.
• Experience with containerized applications and modern deployment environments.
• Solid understanding of APIs, integrations, asynchronous processing, and workflow-based systems.
• Strong understanding of automated testing and software quality practices.
• Ability to make sound technical decisions independently.
• Ability to review code critically and identify architectural, functional, and operational issues.
• Strong communication skills and ability to collaborate directly with distributed client and engineering teams.

AI / Spec-Driven Engineering Mindset

This project uses AI as an integral part of the software development lifecycle rather than only as a coding assistant.
We are looking for engineers who are comfortable working in an environment where development may follow a process such as:
existing requirements/code → specification generation → human review → implementation → automated testing → engineering validation → iteration
The engineer remains responsible for the quality of the resulting software.
Candidates should be comfortable:

• using AI-assisted development tools as part of their daily engineering workflow;
• reviewing AI-generated specifications and implementation plans;
• validating generated source code and automated tests;
• debugging generated implementations when they do not work as expected;
• providing technical direction and context back to AI tools;
• identifying incorrect assumptions or missing edge cases;
• ensuring generated solutions meet production engineering standards.

Experience with AI-assisted development, agentic engineering, AI coding tools, or spec-driven development is strongly preferred.
Previous experience with a particular AI product is not required. Strong engineering judgment and the ability to effectively guide and validate AI-generated output are more important than expertise with any individual tool.

Nice-to-have

• Hands-on experience with Temporal or similar workflow orchestration platforms.
• Experience implementing workflow-driven distributed systems.
• Experience with JSON/configuration-driven platform development.
• Experience with Kubernetes.
• Experience with event-driven architectures and asynchronous messaging.
• Experience with cloud-native applications.
• Experience with observability and troubleshooting distributed production systems.
• Experience working on enterprise-scale platforms.
• Experience mentoring engineers or acting as a technical lead.
• Experience with modernization or rewriting of legacy applications.
• Experience working directly with U.S.-based enterprise clients.

Engineering Practices & Patterns

Relevant experience may include:

• Distributed systems design
• Workflow orchestration
• Event-driven architectures
• Idempotency
• Retry and failure-handling patterns
• API design and integration
• Automated testing
• Observability and troubleshooting
• Resilience and fault tolerance
• Microservices / service-oriented architecture
• Domain-driven design
• Cloud-native engineering

What We Value

We are looking for a strong engineer first.
Deep knowledge of a particular framework or AI tool is less important than the ability to:

• understand how a system works;
• read and reason about existing code;
• investigate and debug complex issues;
• make good engineering decisions;
• learn unfamiliar technologies quickly;
• understand AI-generated code rather than simply accept it;
• take ownership of delivering reliable software.

Why Work With Us?

Our Culture

• Open communication and a focus on psychological safety
• Recognition of achievements and individual contributions
• Collaboration across multicultural and distributed teams
• Less bureaucracy and greater focus on outcomes
• Opportunity to work with modern AI-assisted engineering practices
• Direct involvement in technically challenging enterprise platforms

Hiring Process

1. Intro Call
2. Technical Interview
3. Manager Interview
4. Client Technical \ Manager Interview
5. Pre-offer Stage + Reference Check, if requested
6. Official Offer