Top Senior 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.

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.

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.

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.

Lead development of scalable Go backend services and React.js applications, architect distributed systems and APIs, optimize performance, implement testing and cloud-native deployment practices, and guide security, observability, and technical strategy. Collaborate onsite with client stakeholders and engineering teams, mentor engineers, troubleshoot production issues, document systems, and contribute to agile delivery and AI-assisted development practices.

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 backend services, APIs, cloud-native applications, CLI tools, Kubernetes controllers, and internal platform tooling in Go. Responsibilities include distributed systems development, performance optimization, messaging and data-store integration, automated testing, observability, documentation, code reviews, and mentoring engineers.

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.

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 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 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.

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.

Lead the design, development, and operation of high-scale backend services in Go. Improve APIs, content delivery pipelines, media orchestration, reliability, performance, and resiliency across distributed systems. Partner with Product and engineering teams on architecture, technical planning, testing, observability, incident follow-up, and production support. Drive backend initiatives end to end and contribute to long-term platform strategy.

Design and implement infrastructure services for a GPU-as-a-Service platform. Build REST and gRPC APIs, bare-metal provisioning workflows, Kubernetes cluster automation, reconciliation loops, and durable asynchronous operations. Manage server enrollment, inspection, OS provisioning, cluster creation, hardware inventory interfaces, error handling, idempotency, and multi-tenant infrastructure reliability.

Build and maintain production-grade Golang backend services for an AI-driven investment platform. Design APIs and data pipelines supporting AI and reasoning systems, improve performance, reliability, and observability, review scalable architectures, and debug production issues. The role requires end-to-end system ownership, collaboration with AI and product teams, and mentoring as responsibilities grow.

The Senior Software Engineer will design and develop backend services and middleware for GM's infotainment systems, ensuring performance and scalability. Responsibilities include coding in Go, collaborating with teams, leading reviews, and mentoring junior engineers.

Design and maintain Golang backend services, APIs, microservices, automation tools, and Terraform infrastructure modules. Provision and manage cloud resources, troubleshoot application and deployment issues, and improve reliability and performance. Participate across the software development lifecycle, review code and infrastructure configurations, collaborate with technical teams, and communicate project risks. Use AI tools such as Claude, mentor colleagues, and contribute to client-focused technical solutions.

Define and operationalize reliability for a GPU-accelerated AI platform by creating SLIs, SLOs, error-budget practices, and high-quality alerting. Build APIs exposing reliability state to platform administrators, partner with infrastructure, storage, and networking teams on telemetry, and diagnose observability and performance issues across Kubernetes, bare-metal, and NVIDIA infrastructure in hybrid, edge, and air-gapped environments.

Design and build Go-based control-plane services, CSI drivers, storage integrations, observability tools, and infrastructure automation for Kubernetes AI platforms. Integrate enterprise and scale-out storage, support bare-metal and hybrid provisioning, and deliver declarative Terraform/OpenTofu and GitOps workflows. Architect reliable storage solutions for Kubernetes clusters, air-gapped environments, and sovereign infrastructure, including artifact mirrors and PKI/TLS.

Lead architecture and development of reliable, scalable distributed storage services for AI/ML. Build and maintain Go applications, containers, bindings, and CLI tools deployed on Kubernetes. Enhance availability, automate deployment and monitoring, and collaborate with research, product, engineering, and customers. Requires ownership of enterprise software throughout its lifecycle, with experience in distributed systems, cloud services, storage interfaces, and large-scale deployments.

Leads end-to-end design and delivery of scalable backend services for Disney’s News Distribution Platform. Sets architectural direction, improves availability, resiliency, latency, performance, observability, and operational excellence. Partners with product, editorial, and engineering teams, conducts code reviews, mentors engineers, manages technical initiatives, and supports CI/CD, incident response, monitoring, and documentation.

Design, build, and operate scalable production backend systems in Go, including APIs, distributed services, database schemas, infrastructure, CI/CD, and Kubernetes deployments. Improve observability, reliability, performance, and production troubleshooting. Own technical problems from design through deployment while collaborating with engineering, product, and business stakeholders and helping shape architecture and engineering practices.