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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer, Backend/Distributed Systems - AI Security & Governance - **Company:** Omnissa, LLC - **Location:** Atlanta, GA, United States - **Experience:** Expert - **Salary:** $141,000 - $250,000 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Data Analysis, Apache HTTP Server, Automation of Tests, Client Server Models, Software as a Service, Cloud Engineering, Profiling, Code Review, Computer Programming, Databases, Concurrent Computing, Continuous Integration, Information Engineering, Data Security, Data Structures, Data Stores, Cursor, Software Debugging, Distributed Systems, Fault Tolerance, Protocol Buffers, PostgreSQL, Load Testing, Online Analytical Processing, Networking Basics, Performance Tuning, Query Optimization, Queueing Systems, Redis, Prometheus, Software Deployment, Software Engineering, Data Streaming, Transaction Data, Data Logging, Cloud Platform System, Data Ingestion, GitHub Copilot, System Availability, Claude Code, Grafana, Concurrency, Database Optimization, Caching, Indexer, AI Coding Agents, Backend, Rate Limiting, Event Driven Architecture, Containerization, Kubernetes, Storage Technologies, Druid, Low Latency, Deployment Automation, Apache Kafka, Front End Software Development, Vertica, Restful APIs, Stream Processing, Stream Analytics, Dynatrace, Docker, Golang, Microservices - **Published:** November 14, 2026 - **Apply:** https://startup.jobs/senior-software-engineer-backend-distributed-systems-ai-security-governance-omnissa-llc-10774838 ## About the Role * 5+ years of professional software engineering experience, with substantial experience building backend services and distributed systems. * Strong hands-on programming expertise in Go (Golang), including concurrency, goroutines, channels, context management, and performance profiling. * Solid understanding of distributed systems concepts, microservices architecture, asynchronous processing, and fault-tolerant system design. * Strong experience with PostgreSQL, including schema design, query optimization, indexing, transactions, and database performance tuning. * Hands-on experience with Redis or similar in-memory data stores for caching, high-throughput data access, and distributed application patterns. * Experience designing and developing RESTful APIs, gRPC services, and secure client-server communication. * Strong knowledge of data structures, algorithms, networking fundamentals, and concurrent programming. * Experience building scalable, highly available services in containerized environments using Docker and Kubernetes or equivalent orchestration platforms. * Familiarity with event-driven architectures, message queues, or streaming platforms such as Kafka. * Experience with observability, debugging, performance optimization, and production incident troubleshooting. * Understanding of authentication, authorization, encryption, and secure backend development practices., * Experience building large-scale SaaS platforms, endpoint management systems, cybersecurity products, or high-volume telemetry processing services. * Hands-on experience with ClickHouse, StarRocks or similar real-time analytical databases. * Experience designing high-throughput ingestion pipelines, columnar storage architectures, and near-real-time analytics systems. * Knowledge of Apache Kafka, event-stream processing, and distributed messaging patterns. * Experience managing persistent connections with large numbers of distributed clients using gRPC streaming or similar protocols. * Experience with Redis Cluster, PostgreSQL partitioning, replication, connection pooling, and database scalability patterns. * Familiarity with Prometheus, Grafana, OpenTelemetry, Loki, or similar observability technologies. * Experience with Kubernetes, HashiStack (Nomad, Consul, Vault), or other cloud-native infrastructure platforms. * Knowledge of multi-tenant SaaS architectures, tenant-level data isolation, and enterprise security requirements., Education: Bachelor's Degree preferred, or equivalent combination of education and relevant professional experience. ## Description * Agents are part of the team. AI coding agents are built into how we design, build, test, and debug. Our approved tools include Claude Code, Cursor and GitHub Copilot. * Humans own the judgment. Engineers own architecture, security decisions, and final review, and are accountable for everything that ships. * Guardrails are first-class work. Excellent documentation, strong CI, and test automation are what let us move fast safely. We build on each other's work. Reusable agent skills, prompts are tooling means you start productive on day one and every improvement benefits the whole team. What You'll Do Backend Engineering & Distributed Systems * Design, develop, and maintain scalable, high-performance backend services and APIs using Go (Golang). * Build cloud-native, distributed microservices supporting enterprise endpoint management, AI security monitoring, and governance workflows. * Design and implement secure, efficient communication between millions of endpoint agents and backend services using gRPC, Protocol Buffers, HTTP/2, and REST APIs. * Optimize concurrency, resource utilization, throughput, and latency across distributed services. * Design secure multi-tenant architectures with strong tenant isolation, authorization, and data protection. * Develop automated unit, integration, performance, and end-to-end tests. * Participate in architecture reviews, code reviews, and technical design discussions. * Contribute to CI/CD automation, infrastructure-as-code, and reliable production deployments. * Collaborate closely with endpoint engineering, security, frontend, and product teams to deliver end-to-end capabilities. Data Engineering, Storage & Real-Time Analytics * Design and optimize transactional data models, queries, indexing strategies, and database interactions using PostgreSQL. * Implement high-performance caching, distributed coordination, and low-latency data access using Redis or Valkey. * Evaluate and integrate analytical data platforms such as ClickHouse, StarRocks, Apache Druid, or similar OLAP technologies to support high-volume, low-latency analytical queries. Performance, Scalability & Reliability * Design services for high availability, fault tolerance, horizontal scalability, and graceful degradation. * Optimize backend systems for high-concurrency workloads, large-scale telemetry ingestion, and low-latency policy operations. * Implement robust retry mechanisms, backpressure, rate limiting, idempotency, and failure recovery across distributed services. * Establish observability through metrics, structured logging, distributed tracing, and actionable alerting. * Conduct performance profiling, load testing, capacity planning, and production troubleshooting. * Collaborate with SRE and platform engineering teams to improve service reliability, operational efficiency, and deployment automation.