Top Golang Jobs

Leads development of scalable, secure, cloud-native software solutions using Golang, public cloud, and Infrastructure as Code. Provides technical guidance, reviews production code, drives AI-assisted engineering practices, supports cloud migrations, and influences architecture, application functionality, and technical operations. Acts as a subject matter expert and promotes engineering standards, automation, resilience, security, and responsible AI usage across teams.

Lead the architecture and delivery of GitLab’s data products, including near-real-time data ingestion, knowledge graph integrations, data marketplaces, observability, and data-sharing APIs. Translate ambiguous 0-to-1 initiatives into roadmaps, resolve cross-team dependencies, ensure operational readiness across deployment surfaces, and mentor engineers. The role requires deep full-stack expertise, technical leadership, and experience with AI-powered orchestration and multi-tenant SaaS systems.

Leads complex software optimization initiatives from design through implementation and validation. Builds cloud-native services, data pipelines, dashboards, automation, and AI-enabled forecasting solutions. Analyzes cloud costs, resource utilization, reliability, capacity, and engineering productivity while partnering with Engineering, Finance, Product, Data, Platform, and SRE teams. Ensures scalable and secure integrations, testing, observability, financial data quality, and measurable savings. Provides technical leadership and mentorship to junior engineers without direct people-management responsibilities.

Leads software engineering projects and developers building cloud-native, distributed full-stack systems for credit decisioning. Responsibilities include designing microservices and APIs, partnering with architects and product managers, establishing engineering standards, mentoring developers, improving scalability and observability, reducing technical debt, and guiding technology strategy. The role uses AWS, multiple programming languages, databases, containers, Kubernetes, CI/CD, infrastructure as code, automated testing, and AI-based development tools.

Build and lead full-stack software engineering initiatives using Go and other modern languages, distributed microservices, cloud platforms, databases, APIs, and containerization. Lead developers, establish engineering standards, mentor engineers, partner with product managers and architects, improve system performance, reduce technical debt, and influence technology strategy. The role requires delivering scalable cloud-based solutions in an Agile, collaborative environment.

Build AI-driven governance and resilience solutions for enterprise cloud infrastructure. Design intelligent guardrails, distributed systems, microservices, and full-stack platforms using Go, Python, Java, TypeScript, AWS, Docker, and Kubernetes. Lead architectural vision, technical roadmaps, testing, deployment, and optimization while writing code, conducting reviews, mentoring engineers, and collaborating with product, data science, and risk teams.

Leads engineering teams and diverse technology projects involving distributed microservices, full-stack systems, and cloud-native architectures. Designs and implements highly reliable, scalable solutions using AWS and modern programming languages, establishes technical standards, shapes platform roadmaps, mentors engineers, and drives architectural reviews. The role also involves observability, performance optimization, CI/CD, infrastructure as code, automated testing, and collaboration with product and architecture leaders.

Build and lead full-stack software engineering initiatives using cloud-based, distributed microservices and full-stack systems. Lead developers, define service boundaries and integration patterns, establish engineering standards, mentor team members, and deliver AWS solutions. Responsibilities include refactoring, reducing technical debt, improving performance, developing synchronous and asynchronous APIs, using modern programming languages and databases, and driving technical strategy across Agile teams.

Develop and scale cloud-based software platforms for advertising measurement, attribution, optimization, and privacy-preserving data collaboration. Build microservices, APIs, reporting tools, and real-time or batch processing solutions using Go and cloud-native technologies. Implement automated testing, monitoring, CI/CD, infrastructure automation, and scalable data infrastructure. Collaborate with product, architecture, SRE, QA, compliance, and other cross-functional stakeholders while troubleshooting issues and contributing to technical decisions.

Manages a software engineering team responsible for high-scale ad-serving systems. Provides technical direction, supports architecture and engineering practices, collaborates with product management, drives infrastructure improvements, reviews work quality, and develops team performance. The role requires distributed application development experience, cloud deployment knowledge, strong SQL skills, monitoring tools expertise, and proficiency in C++, Java, Go, or Rust. This position is onsite four days per week in Englewood, Colorado.

Design, develop, and architect scalable Golang software supporting enterprise data architecture. Lead technical design, collaborate across teams, mentor engineers, solve complex technical problems, and contribute to Agile delivery practices. Ensure software quality through code reviews, automated testing, CI/CD, and operational support while shaping technical roadmaps and architectural direction.

Design and build high-performance Go backend services, infrastructure tooling, and cloud-native applications. Develop APIs, Kubernetes-native systems, and distributed services while addressing concurrency, latency, networking, data storage, CI/CD, and container deployment. Collaborate with cross-functional teams, translate ambiguous requirements into solutions, conduct code and design reviews, improve production reliability, and mentor junior engineers.

Designs and builds high-performance Go backend services, infrastructure tooling, and cloud-native applications. Develops APIs, Kubernetes-native systems, and distributed services while addressing concurrency, networking, latency, and operational efficiency. Collaborates with cross-functional teams, translates ambiguous requirements into production-ready solutions, participates in code and design reviews, mentors junior engineers, and contributes to debugging, performance engineering, documentation, and engineering standards.

Build and scale low-latency ad-serving software handling billions of daily auctions. Responsibilities include developing data- and model-driven features, optimizing algorithms and architectures, reducing cloud costs, extending observability, supporting distributed infrastructure, participating in on-call rotations, and documenting systems and incident procedures.

Leads the architecture, development, and evolution of cloud-native platform services, shared APIs, SDKs, automation, and developer self-service capabilities. Establishes standards for reliability, security, CI/CD, governance, observability, and scalable platform adoption. Drives AI-enabled engineering platforms, including LLMs, agents, MCP, and RAG, while providing technical leadership, mentoring, and cross-functional collaboration across engineering, product, security, architecture, and operations teams.

Design and build high-performance Go backend services, APIs, cloud-native applications, CLI tools, Kubernetes controllers, and operators. Develop gRPC and REST APIs, integrate messaging systems and data stores, optimize performance, implement testing and observability, and maintain secure, production-ready systems. Lead code and design reviews, mentor engineers, contribute to shared libraries and platform tooling, and maintain technical documentation.

Design and build hyperscale observability infrastructure for metrics, logs, and traces. Develop fault-tolerant, high-throughput distributed services; operate Kubernetes-based production systems; improve self-healing, autoscaling, reliability, and incident response; and collaborate with SREs and platform teams. The role includes architecture reviews, production readiness work, post-incident improvements, open-source contributions, and participation in an on-call rotation.

Build, maintain, and deploy a high-volume, fault-tolerant observability platform. Architect and develop OpenTelemetry-based systems, implement services in Go (concurrency/gRPC), work with ClickHouse/Postgres, Kafka/Redis streaming, and containerized deployments on Kubernetes/Docker. Evaluate new tools and improve platform reliability and performance.

Build software, data pipelines, dashboards, and automation for cloud cost visibility, infrastructure efficiency, reliability, engineering productivity, and financial accountability. Analyze workloads and billing data, implement AI- and analytics-enabled forecasting and anomaly detection, develop cloud-native services, and support capacity planning, cost allocation, and optimization. Collaborate with Engineering, Finance, Data, Platform, SRE, Architecture, and Product teams while testing, troubleshooting, documenting, and communicating recommendations and business value.

Develop, test, deploy, and operate integrated software systems; design application and third-party service infrastructure; build quality APIs; architect scalable and maintainable solutions; and collaborate with stakeholders and vendors. Provide technical leadership and mentorship, experiment with new technologies, automate workflows, and support systems engineering, integration, deployment, and operations in a defense and intelligence environment.

Develop, test, deploy, and operate integrated software and supporting infrastructure. Build APIs and integrations with internal and third-party services, collaborate with cross-functional stakeholders, research innovative technologies, and support systems engineering, integration, testing, deployment, and operations for defense and intelligence applications.

Design and build data-driven advertising software features, scale distributed applications and infrastructure, optimize algorithms and architectures, reduce cloud costs, and improve observability. Participate in on-call rotations and incident escalation, create technical documentation and playbooks, and collaborate with distributed teams across time zones. The role requires strong software architecture, performance optimization, data modeling, Linux, and compiled-language expertise.

Design, build, test, deploy, and maintain features for internal content workflow and distribution systems. Collaborate with product managers, project managers, and engineers to scope work, estimate effort, and plan sprints. Participate in code reviews, debug production issues, support on-call operations, use AI tools for engineering efficiency, and contribute to team quality and communication.

Design, build, test, deploy, and maintain features for internal content workflow and distribution systems. Collaborate with product managers, technical project managers, and engineers to plan work, estimate effort, review code, troubleshoot production issues, and participate in on-call support. Use AI tools to improve development efficiency while contributing to team communication, code quality, and shared ownership.

Design, build, test, and ship features for internal content workflow and distribution systems. Collaborate with product and technical project managers to scope work, estimate effort, and plan sprints. Participate in code reviews, troubleshoot production issues, support on-call operations, and use AI tools to improve development speed and solution quality.