Software Engineer, Backend

• 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 and code quality issues.
• you will take ownership of engineering initiatives and promote a culture of high ownership, continuous improvement, and engineering excellence.
• Active engagement with different stake holders - Product Managers, Solution Architects, Security Engineering, other members within Engineering and External Partners as needed to define and deliver the required solution.
• We operate with Dev own quality mindset, which will require your active participation in all stages of software development - requirement, design, coding, test automation and debugging.

• Perform code reviews and ensure coding best practices., * Ensure compliance with all organizational and regulatory requirements, particularly in the areas of incident response, access control, and continuous monitoring.

• Maintain awareness of evolving threats and vulnerabilities.

• Participate in role-based security and privacy training annually.

• Report security incidents promptly and accurately in accordance with organizational procedures.

• Protect sensitive data in accordance with organizational and regulatory requirements.

You areexpected to be proficient in the following:

• US Citizenship required
• High proficiency and experience in Unix/Linux platforms.
• Working experience with Python, Docker, Kafka and Redis/Valkey.
• 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).
• 2-10 years of experience in software engineering.

Additionally, the following skills and qualifications will help you stand-out:

• 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 like MSK and Aurora, OpenSearch.
• Working knowledge of infrastructure technologies such as OS (Linux and Windows), Network, Database, Server, Storage, etc., Education: Bachelor’s Degree preferred, or equivalent combination of education and relevant professional experience.

Compensation: The typical base salary for this role is between USD $120,675 - $201,125 per year and it may be eligible for participation in a corporate bonus program. Actual compensation offer may vary from posted hiring range based upon geographic location, work experience, education, skill level, or other relevant factors. In addition to competitive compensation, Omnissa offers a variety of benefits such as employee ownership, health insurance, 401k with matching contributions, disability insurance, paid-time off, growth opportunities, and more.

Omnissa is 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.