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Growth Acceleration Partners•Colorado Springs, CO

About The Position

We are looking for a Staff Software Engineer to lead the design and delivery of scalable, cloud-native software platforms. In this role, you will serve as a technical authority responsible for defining architecture, guiding engineering teams, and ensuring the delivery of reliable, high-performance systems. As a Staff Engineer, you will play a critical role in shaping technical strategy, influencing engineering decisions, and mentoring developers while remaining hands-on with architecture and development. You will work closely with product leaders, DevOps teams, and engineering stakeholders to design microservices-based platforms that operate reliably in containerized cloud environments. This role is ideal for a senior technical leader who combines strong backend engineering expertise with architectural thinking and the ability to guide teams building modern distributed systems.

Requirements

10+ years of experience building enterprise software systems
Strong experience designing and delivering distributed systems and microservices architectures
Proven experience acting as a technical leader or Staff-level engineer guiding engineering teams
Extensive experience working with cloud-native environments and containerized infrastructure
Experience working across multiple projects and collaborating with cross-functional teams
Strong proficiency in Golang and Node.js
Experience building scalable services using TypeScript
Deep understanding of microservices architecture
Experience designing and building RESTful APIs
Experience with distributed systems and service-based architectures
Hands-on experience with Docker and Kubernetes
Experience building and maintaining CI/CD pipelines (Jenkins, GitLab CI/CD, Azure DevOps)
Experience deploying applications in AWS, GCP, or Azure
Experience working with SQL databases (PostgreSQL, MySQL)
Familiarity with NoSQL databases (MongoDB, Redis)
Understanding of performance optimization and data access patterns
Advanced English proficiency (written and verbal)
Strong technical leadership and communication skills
Ability to influence technical decisions across teams
Strong problem-solving and analytical mindset
Proven ability to mentor engineers and drive engineering excellence

Nice To Haves

Experience with serverless architectures
Experience with observability platforms such as Prometheus, Grafana, or Datadog
Experience scaling engineering teams and complex systems
Experience designing highly available distributed systems

Responsibilities

Lead the end-to-end architecture design of scalable applications
Define technical standards and best practices for development, architecture, and deployment
Guide technology stack selection, ensuring scalability, performance, and cost efficiency
Drive architectural decisions across microservices, APIs, and distributed systems
Conduct architecture reviews and provide technical guidance across teams
Design and build microservices-based architectures using Golang and Node.js
Develop clean, scalable, and maintainable applications using TypeScript
Implement secure and efficient RESTful APIs and backend services
Collaborate with DevOps teams to optimize containerized deployments using Docker and Kubernetes
Ensure applications meet high standards for availability, scalability, and fault tolerance
Design and support CI/CD pipelines to automate build, test, and deployment workflows
Optimize cloud infrastructure across AWS, GCP, or Azure
Support container orchestration and deployment strategies using Kubernetes
Monitor system performance and proactively address scalability or reliability issues
Mentor and guide engineers through code reviews, design discussions, and technical coaching
Help teams adopt modern development practices and engineering standards
Foster a collaborative engineering culture focused on continuous improvement
Support developer growth through mentorship and knowledge sharing
Lead technical risk assessments for new systems and platform changes
Align engineering solutions with business and product goals
Drive long-term architectural planning and system evolution
Influence platform strategy and technology adoption decisions