Golang Developer

Bright Vision Technologies•Atlanta, GA
•$100,000 - $130,000•Remote

About The Position

Bright Vision Technologies is seeking a mid-career software engineer to contribute to scalable, modern platforms that power critical business services and support the organization’s evolution in cloud-based technologies. The role is described as part of an Edge platform team responsible for the end-to-end software lifecycle, including development, build systems, testing, release automation, and platform operations. Its scope includes software development, CLI tooling, CI/CD pipelines, infrastructure-as-code development, and root cause analysis of complex engineering issues. The developer will design, build, test, operate, and continuously improve platform engineering solutions; own technical problems end-to-end; and collaborate with stakeholders and engineering teams. The role contributes to product and platform roadmaps while considering performance, reliability, observability, operability, and testability. It also involves incident investigation and troubleshooting, resolving issues across internal systems and downstream dependencies, and following engineering standards while contributing to technical discussions and process improvements. The posting identifies the position as full-time, direct W2, with a stated location of 100% remote in the United States. It lists a salary range of $100,000–$130,000 annually and 6+ years of experience, while the qualifications section separately lists 3+ years of professional software engineering experience. The posting also says the role is with a team in Atlanta. Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

Requirements

  • Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
  • 3+ years of professional software engineering experience.
  • Experience developing software in Linux or macOS environments.
  • Proficiency in at least one modern programming language, preferably Golang.
  • Strong understanding of software engineering fundamentals, including data structures, algorithms, and system design.
  • Familiarity with distributed systems concepts and modern software architectures.
  • Experience using Git-based source control workflows such as GitHub or GitLab.
  • Exposure to containerized application development using Docker and Kubernetes.
  • Familiarity with cloud platforms, preferably Google Cloud Platform (GCP).
  • Strong desire to learn and contribute across a broad technical landscape.
  • Strong analytical and problem-solving skills, including the ability to investigate complex technical issues.
  • Effective verbal and written communication skills, including communicating technical concepts to technical and non-technical audiences.
  • Ability to estimate work, manage priorities, and deliver commitments within a team environment.
  • Understanding of infrastructure and systems concepts, including networking, compute, storage, security, containers, and platform operations.
  • Understanding of modern software development methodologies, including Agile and iterative development practices.
  • Positive attitude, strong work ethic, and commitment to continuous improvement and collaboration.
  • The posting lists 6+ years of experience in its position details.

Nice To Haves

  • Professional experience developing applications or tooling in Golang.
  • Experience building and updating GraphQL types, queries, and mutations for backend Golang APIs.
  • Experience designing, operating, or supporting distributed systems with consideration for scalability, performance, availability, and observability.
  • Experience with platform engineering practices and tools, including GitOps, CI/CD, OCI artifacts, test infrastructure, or build systems.
  • Experience working with Kubernetes clusters and associated ecosystem components.
  • Familiarity with infrastructure-as-code and developer productivity tooling.
  • Experience contributing to open-source projects.
  • Professional experience administering or developing with Bazel or other large-scale build systems.
  • Experience with AI application development using modern LLM platforms, including agentic workflows, skills/tool definitions, prompt engineering, model evaluation, or integration with commercial and open-source AI models.
  • Experience developing CLI tools and developer workflows.
  • Experience creating or maintaining Kubernetes Custom Resource Definitions (CRDs) and custom controllers/operators.
  • Experience troubleshooting complex build, deployment, or infrastructure-related issues across large distributed systems.
  • Experience with developer platforms or internal engineering productivity initiatives.
  • Working knowledge of Google Cloud Platform and cloud-native technologies.

Responsibilities

  • Design, build, test, operate, and continuously improve platform engineering solutions.
  • Own technical problems end-to-end and collaborate with stakeholders and engineering teams to deliver scalable, reliable solutions.
  • Contribute to product and platform roadmaps with consideration for performance, reliability, observability, operability, and testability.
  • Participate in root cause analysis, incident investigation, troubleshooting, and continuous improvement efforts.
  • Diagnose and resolve issues across internal systems and downstream dependencies, partnering with other teams when necessary.
  • Follow established engineering standards, participate in technical discussions, and provide constructive feedback to improve processes and tooling.
  • Collaborate with teammates and continue learning across a broad technical landscape.
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