Software Engineer (Platform/Backend) - ClickHouse

Omnissa•Atlanta, GA

4d•$120,675 - $180,000•Hybrid

About The Position

We are Omnissa, the first AI-driven digital work platform, built to support flexible, secure, work-from-anywhere experiences. We integrate industry-leading solutions—including Unified Endpoint Management, Virtual Apps and Desktops, Digital Employee Experience, and Security & Compliance—into a seamless, autonomous workspace that adapts to how people work. Our platform boosts employee engagement while optimizing IT operations, security, and cost. Guided by our core values—Act in Alignment, Build Trust, Foster Inclusiveness, Drive Efficiency, and Maximize Customer Value—we're growing rapidly and committed to delivering meaningful impact. If you're passionate about shaping the future of work, we'd love to hear from you. At Omnissa, we are committed to maintaining a fair, consistent, and secure hiring process for all candidates. As part of this approach, we use standard interview and verification practices designed to ensure alignment and protect both candidates and the organization. These practices are applied thoughtfully and with respect for candidate privacy.

Requirements

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.

Nice To Haves

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.
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.

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.