Software Engineer (Go, k8s, AWS/GCP)

Colossus Technologies Group; Sunnyvale (CA); On-site; USD 120,000 - 170,000; Full time

Job summary

Colossus Technologies Group seeks a Backend Software Engineer in Sunnyvale to design, build, and scale our cloud-native platform. You will own core services, APIs, and infrastructure components, working hands-on with modern cloud technologies in a fast-paced startup environment.

You should have 3+ years in backend development, experience with Kubernetes and AWS, and be comfortable with REST/microservices and system design.

Qualifications

• 3+ years of professional software engineering experience with a backend focus.
• Hands-on Kubernetes experience with containerized applications.
• Strong AWS experience and knowledge of cloud services.
• Experience designing REST APIs and microservices.
• Solid fundamentals in data structures and system design.
• Experience shipping production software in a fast-paced environment.

Responsibilities

• Design, develop, and maintain scalable backend services and APIs.
• Build cloud-native applications and distributed systems.
• Deploy services in Kubernetes on AWS.
• Contribute to core infrastructure architecture and components.
• Support networking, security, and communication between services.
• Troubleshoot performance, reliability, and scalability in distributed environments.
• Collaborate with a small team to take features from concept to production.

Skills

Backend dev

Golang

Kubernetes

AWS

REST APIs

Microservices

System design

Data structures

Production software

Independent work

Tools

Kubernetes

AWS

Job description

We're partnering with an exciting early-stage startup building next-generation networking and security infrastructure for AI agents. The company is developing a cloud-native platform focused on secure communication, distributed systems, and scalable infrastructure.

We're looking for talented Backend Software Engineers to join a growing engineering team and help design, build, and scale the company's core platform. This is a highly hands-on engineering opportunity for someone who enjoys solving complex technical problems, working with modern cloud technologies, and taking ownership of meaningful projects in a startup environment. Startup experience and startup mindset is a must.

What You'll Do:

• Design, develop, and maintain scalable backend services and APIs.
• Build cloud-native applications and distributed systems using modern programming languages.
• Develop and deploy services in Kubernetes environments running on AWS.
• Contribute to the architecture and development of core infrastructure components.
• Work on backend systems supporting networking, security, and communication between services.
• Troubleshoot performance, reliability, and scalability challenges across distributed environments.
• Collaborate with a small engineering team to build new features and take products from concept to production.

What We're Looking For:

• 3+ years of professional software engineering experience, with a strong backend development focus.
• Golang experience preferred, but open to engineers with strong object-oriented programming backgrounds in Java, Python, C++, or similar languages.
• Hands-on Kubernetes experience, including deploying, managing, or developing containerized applications.
• Strong AWS experience, with an understanding of cloud infrastructure and services.
• Experience designing and developing REST APIs, microservices, or distributed backend applications.
• Solid understanding of software engineering fundamentals, data structures, and system design.
• Experience building and maintaining production software.
• Ability to work independently and thrive in a fast-paced, early-stage environment.

Nice to Have:

• Experience with networking infrastructure, proxies, API gateways, or load balancers.
• Familiarity with Layer 4–7 networking concepts.
• Experience with cloud security, authentication, authorization, or identity management.
• Exposure to Kubernetes networking, service meshes, or infrastructure automation.
• Experience with AI agents, LLM infrastructure, or emerging AI technologies.
• Previous experience working at a startup or on a small engineering team.