Software Engineer (Platform/Backend) - ClickHouse

Omnissa is an AI-driven digital work platform company that provides secure, flexible digital workplace solutions. The Software Engineer will design, build, and maintain scalable platform services centered on ClickHouse, troubleshoot performance and data-layer issues, and participate across the full software development lifecycle. The role also involves operating distributed analytical systems, supporting high-throughput ingestion, and collaborating with engineering and product stakeholders.

Responsibilities:

• Design, build, and maintain reliable, reusable, testable code that expands our platform's core services and capabilities, while also enhancing their scalability and resilience
• Identify and troubleshoot performance, scalability, and code quality issues across application, ingestion, and data layers
• Take ownership of engineering initiatives and promote a culture of high ownership, continuous improvement, and engineering excellence
• Actively engage with various stakeholders within Engineering, Product Management, Security Engineering, and External Partners as needed to define and deliver the required solution
• Operate with a Dev own quality mindset, participating in all stages of software development—requirements, design, coding, test automation, debugging, deployment, and production support
• Perform code reviews and ensure coding best practices

Requirements:

• You are expected to have strong experience in the following:
• • Deep hands-on experience with ClickHouse table design for analytical workloads: sorting key and sparse primary key design; partition strategy; data skipping indexes; materialized views for pre-aggregation; codec and compression selection per column type; and TTL policies for retention and data tiering
• • Proven experience operating ClickHouse in production: distributed cluster design with ClickHouse Keeper; sharding and Distributed table architecture; high-throughput ingestion patterns; query profiling; diagnosing merge backpressure, part explosion, and mutation storms; memory and thread tuning via server/user profiles; storage tiering with storage policies; and monitoring with Prometheus/Grafana using ClickHouse-native metrics
• • Familiarity with ClickHouse projections, query result caching, RBAC and row-level security, and experience managing version upgrades across breaking changes
• • Strong understanding of analytical data modeling and trade-offs between transactional and analytical storage patterns
• • Experience building or supporting high-throughput ingestion pipelines involving streaming systems, asynchronous processing, batch loading, or change-data-capture style workflows
• • Experience with PostgreSQL, especially where it is used as a transactional state store alongside an analytical database
• • High proficiency and experience in Unix/Linux platforms
• • Strong working experience with C#, Go, and Docker
• • Good understanding of and experience in software architecture and high-performance, scalable distributed systems
• • Solid grasp of application architecture, networking, security, reliability, and scalability concepts
• • Strong DevOps experience, including building and maintaining CI/CD pipelines
• • Collaboration skills for working with distributed teams (Omnissa has teams globally)
• • 5-10 years of experience in software engineering
• **Location:**Atlanta, GA OR Canada
• Travel Expectations: None 
• • Experience with large-scale JOIN-heavy analytical workloads and query patterns that require predictable low-latency responses
• • Comprehensive knowledge and work experience with any or all of the following technologies: Redis, PostgreSQL, Kafka, and OpenSearch
• • Strong foundation in Linux file systems, memory, and multi-threading
• • Experience maintaining a large number of production deployments
• • Hands-on experience with AWS Cloud solutions and managed cloud services
• • Working knowledge of infrastructure technologies such as OS (Linux and Windows), Network, Database, Server, Storage, etc
• This job requisition is not eligible for employment-based immigration sponsorship by Omnissa.
• • Hands-on experience with Kafka, including event-driven or streaming architectures beyond basic pub/sub
• • Experience designing systems for non-blocking ingestion, asynchronous processing, internal queueing, file-based loaders, or decoupled write pipelines
• Education: Bachelor's Degree preferred, or equivalent combination of education and relevant professional experience