Staff Engineer: Scalable Go Backend Systems

Omnissa; Atlanta (GA); Hybrid; USD 165,000 - 274,000; Full time

Benefits offered by this job

Employee ownership

Health insurance

401k with matching contributions

Disability insurance

Paid time off

Growth opportunities

Job summary

Omnissa in Atlanta, GA, is hiring a Staff Engineer to design and build large-scale distributed systems powering its AI-driven digital work platform. You will own architecture, performance, and operations across services written in Go, with strong emphasis on reliability and observability.

You will drive system design, data modeling, and API interfaces, while optimizing CPU, memory, and I/O usage. The role demands deep Linux knowledge, Docker, Kubernetes, Kafka, and cloud experience.

Qualifications

• Strong programming expertise in Go, with deep understanding of concurrency, memory management, and performance tuning.
• Extensive experience building distributed systems and microservices architectures at scale.
• Strong understanding of system design principles, including scalability, fault tolerance, consistency models, and trade-offs.
• Deep knowledge of Linux systems, including processes, networking stack, file systems, and performance diagnostics.
• Hands-on experience with containerization (Docker) and orchestration using Kubernetes or HashiStack (Nomad, Consul, Vault).
• Strong experience with event-driven and data-intensive systems using Apache Kafka.
• Experience with databases and storage systems, including PostgreSQL, OpenSearch, and caching systems like Redis.
• Solid experience with cloud platforms, preferably Amazon Web Services, including managed services (MSK, Aurora, OpenSearch).
• Proven ability to analyze and optimize system performance, including profiling, benchmarking, and capacity planning.
• Strong troubleshooting skills across application, infrastructure, and network layers.
• Experience building and maintaining CI/CD pipelines and DevOps workflows.
• 8–12+ years of software engineering experience with a strong focus on backend systems and distributed architectures

Responsibilities

• Design and implement scalable, high-performance backend systems using Go, with a strong focus on reliability, observability, and efficiency.
• Own end-to-end architecture and system design, including service decomposition, data modeling, API design, and inter-service communication patterns.
• Drive performance optimization initiatives across services (CPU, memory, I/O, network), and identify bottlenecks using profiling and observability tools.
• Troubleshoot complex production issues, including distributed system failures, latency spikes, and resource contention across multi-service environments.
• Build and operate systems leveraging Kafka, PostgreSQL, OpenSearch, and caching layers (Redis/Valkey) for high-scale workloads.
• Design and operate services in containerized environments (Docker) orchestrated via Kubernetes or HashiStack (Nomad/Consul/Vault).
• Collaborate with Product, SRE, and Security teams to ensure resilient, secure, and production-ready solutions.
• Contribute to and drive engineering excellence through design reviews, code reviews, and mentoring junior engineers.
• Participate in full software lifecycle ownership: requirements, design, implementation, testing, deployment, and production support.
• Champion DevOps and “You build it, you run it” culture, including CI/CD pipelines, monitoring, alerting, and incident response.

Skills

Go

Distributed systems

Microservices

Linux

Docker

Kubernetes

HashiStack

Kafka

PostgreSQL

OpenSearch

Redis

AWS

CI/CD

DevOps

Backend architectures

Education

Bachelor's Degree preferred

Tools

Docker

Kubernetes

HashiStack

Job description

Omnissa in Atlanta, GA, is hiring a Staff Engineer to design and build large-scale distributed systems powering its AI-driven digital work platform. You will own architecture, performance, and operations across services written in Go, with strong emphasis on reliability and observability.

You will drive system design, data modeling, and API interfaces, while optimizing CPU, memory, and I/O usage. The role demands deep Linux knowledge, Docker, Kubernetes, Kafka, and cloud experience.