
Company Overview:
Virtana delivers the industry’s only unified platform for Hybrid Cloud Performance, Capacity and Cost Management. Our platform provides unparalleled, real-time visibility into the performance, utilization, and cost of infrastructure across the hybrid cloud – empowering customers to manage their mission critical applications across physical, virtual, and cloud computing environments. Our SaaS platform allows organizations to easily manage and optimize their spend in the public cloud, assure resources are performing properly through real-time monitoring, and provide the unique ability to plan migrations across the hybrid cloud.
As we continue to expand our portfolio, we are seeking a highly skilled and hands-on Staff Software Engineer in backend technologies to contribute to the futuristic development of our sophisticated monitoring products.
Position Overview:
As a Staff Software Engineer specializing in backend technologies for Storage and Network monitoring in an AI enabled Data center as well as Cloud, you will play a critical role in designing, developing, and delivering high-quality features within aggressive timelines. Your expertise in microservices-based streaming architectures and strong hands-on development skills are essential to solve complex problems related to large-scale data processing. Proficiency in backend technologies such as Java, Python is crucial.
Work Location: Pune
Job Type: Hybrid
Key Responsibilities:
- Hands-on Development: Actively participate in the design, development, and delivery of high-quality features, demonstrating strong hands-on expertise in backend technologies like Java, Python, Go or related languages.
- Microservices and Streaming Architectures: Design and implement microservices-based streaming architectures to efficiently process and analyze large volumes of data, ensuring real-time insights and optimal performance.
- Agile Development: Collaborate within an agile development environment to deliver features on aggressive schedules, maintaining a high standard of quality in code, design, and architecture.
- Feature Ownership: Take ownership of features from inception to deployment, ensuring they meet product requirements and align with the overall product vision.
- Problem Solving and Optimization: Tackle complex technical challenges related to data processing, storage, and real-time monitoring, and optimize backend systems for high throughput and low latency.
- Code Reviews and Best Practices: Conduct code reviews, provide constructive feedback, and promote best practices to maintain a high-quality and maintainable codebase.
- Collaboration and Communication: Work closely with cross-functional teams, including UI/UX designers, product managers, and QA engineers, to ensure smooth integration and alignment with product goals.
- Documentation: Create and maintain technical documentation, including system architecture, design decisions, and API documentation, to facilitate knowledge sharing and onboarding.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
- 8+ years of hands-on experience in backend development, demonstrating expertise in Java, Python or related technologies.
- Strong domain knowledge in Storage and Networking, with exposure to monitoring technologies and practices.
- Experience is handling the large data-lakes with purpose-built data stores (Vector databases, no-SQL, Graph, Time-series).
- Practical knowledge of OO design patterns and Frameworks like Spring, Hibernate.
- Extensive experience with cloud platforms such as AWS, Azure or GCP and development expertise on Kubernetes, Docker, etc.
- Solid experience designing and delivering features with high quality on aggressive schedules.
- Proven experience in microservices-based streaming architectures, particularly in handling large amounts of data for storage and networking monitoring.
- Familiarity with performance optimization techniques and principles for backend systems.
- Excellent problem-solving and critical-thinking abilities.
- Outstanding communication and collaboration skills.
Why Join Us:
- Opportunity to be a key contributor in the development of a leading performance monitoring company specializing in AI-powered Storage and Network monitoring.
- Collaborative and innovative work environment.
- Competitive salary and benefits package.
- Professional growth and development opportunities.
- Chance to work on cutting-edge technology and products that make a real impact.
If you are a hands-on technologist with a proven track record of designing and delivering high-quality features on aggressive schedules and possess strong expertise in microservices-based streaming architectures, we invite you to apply and help us redefine the future of performance monitoring.

About Virtana
About
Virtana’s AI-powered platform delivers the deepest hybrid infrastructure observability, empowering you to optimize performance, reduce costs, and mitigate risks.
Founded in 2008, more than 150 Global 2000 enterprise customers such as AstraZeneca, Dell, Apple, Geico, Costco, Nasdaq, and Boeing, have long valued Virtana's software solutions. With advanced AI-powered capabilities, Virtana helps IT teams proactively address issues, streamline operations, and transform infrastructure into strategic assets in today's rapidly evolving digital landscape.
In 2023 Virtana Corp. was named:
- Top 20 Coolest Cloud Monitoring Companies (Cloud 100) by CRN.
- Best Place to Work in the Bay Area by Comparably.
- In eight Gartner® reports for innovation in Infrastructure Monitoring and Artificial Intelligence for IT Operations (AIOps).
💰 Funding details
In the most recent funding round, Virtana raised $73 million in Series C funding in January 2022, led by Atalaya Capital Management and Elm Park Capital Management, among others. Virtana has raised a total of $192.42 million so far!
Candid answers by the company
Virtana builds the industry’s deepest hybrid infrastructure observability platform, giving enterprises unmatched visibility into their complex IT environments -whether on‑premises, in the cloud, or across both.
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