
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 is the leader in observability for hybrid infrastructure. The AI-powered Virtana Platform delivers a unified view across applications, services, and underlying infrastructure, correlating user impact, service dependencies, performance bottlenecks, and cost drivers in real time. Trusted by Global 2000 enterprises, Virtana helps IT, operations, and platform teams improve efficiency, reduce risk, and make faster, AI-driven decisions across complex, dynamic environments. Learn more at virtana.com.
Virtana is proud to be an Equal Opportunity Employer. We value diversity and are committed to creating an inclusive environment for all employees.
Recent Milestones
- Acquired Zenoss to build a unified observability platform combining deep infrastructure analytics, AI-driven intelligence, and end-to-end service visibility.
- Launched AI Factory Observability (AIFO) to address the performance, cost, risk, and visibility challenges of AI infrastructure across GPU-driven and hybrid environments.
- Recognized as Best Hybrid Cloud Solution (2025) by The Cloud Awards.
- First to extend Agentic AI across the Enterprise Stack, enabling autonomous, full-stack intelligence.
- Patented Full-Stack Cloud Optimization for AI Environments, driving smarter performance and cost efficiency for modern AI workloads.
Tech stack
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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Key Responsibilities
AI Architecture & Solution Design
- Design end-to-end AI solution architectures, including:
- Generative AI and LLM-based systems
- Retrieval-Augmented Generation (RAG) pipelines
- Agentic and multi-agent workflows
- Define reference architectures and best practices for AI-enabled features within enterprise products.
- Ensure AI solutions integrate seamlessly with existing applications, data, and cloud architectures.
AI Integration & MCP Servers
- Design and implement Model Context Protocol (MCP) servers to securely expose tools, APIs, and data to AI agents.
- Define standards for tool interfaces, access control, auditing, and safety guardrails.
- Enable product teams to onboard AI tools and capabilities using reusable, scalable integration patterns.
Agentic AI & Workflow Enablement
- Architect AI-driven workflows that support collaboration between humans and AI agents.
- Design AI-to-AI (A2A) and AI-to-system interaction patterns.
- Ensure agent behaviors are deterministic, explainable, and aligned with enterprise requirements.
Hands-On Development & Prototyping
- Build proofs-of-concept and production-ready implementations using Python and/or TypeScript.
- Rapidly validate ideas from ideation to deployment.
- Establish reusable frameworks, libraries, and CI/CD pipelines for AI development.
AI Governance, Quality & Safety
- Implement guardrails to minimize hallucinations, unsafe actions, and data leakage.
- Define evaluation and monitoring strategies for AI systems, including prompt regression and RAG accuracy checks.
- Ensure AI solutions comply with enterprise security, privacy, and governance standards.
Developer Enablement & Collaboration
- Partner with Product, Engineering, QE, Performance, and Security teams to deliver AI capabilities.
- Mentor teams on AI design patterns, tooling, and best practices.
- Contribute to internal AI communities through demos, documentation, and knowledge sharing.
Qualifications :
Required Qualifications
- Bachelor’s degree in computer science, Engineering, or a related technical field, or equivalent practical experience.
- Demonstrated expertise in cloud‑native system design, distributed architectures, and enterprise‑scale integrations.
- Proven ability to architect and implement AI-enabled systems, including integrating Large Language Models (LLMs) into production-grade software.
- Strong ownership of architectural decisions, technical direction, and solution delivery across complex, cross-functional initiatives.
- Hands-on experience applying security, observability, and automation best practices within enterprise environments.
- 6–10 years of experience in software architecture and distributed systems.
- 5+ years of experience building Generative AI or LLM-based solutions.
- Practical experience designing and implementing:
- Retrieval-Augmented Generation (RAG) architectures
- Agentic AI systems
- Tool-calling frameworks and AI integration layers
- Proficiency in Python and/or .Net/TypeScript/Node.js.
- Experience working with major cloud platforms such as Azure, AWS, or Google Cloud Platform (GCP).
Preferred Qualifications
- Experience with OpenAI, Azure OpenAI, Anthropic, or similar LLM platforms.
- Familiarity with Model Context Protocol (MCP) or equivalent AI tool-integration frameworks.
- Experience applying AI engineering practices beyond prototyping, including evaluation, reliability, and scalability considerations.
- Ability to translate ambiguous business problems into clear technical architecture and execution plans.
- History of influencing technical standards and mentoring senior engineers or architects.
- Experience with vector databases, embeddings, and retrieval optimisation.
- Experience building AI-enabled developer tooling and CI/CD pipelines.
- Prior experience in enterprise SaaS environments.
We’re expanding our product offerings and are looking for an experienced Product Manager to execute our product vision and strategy. The ideal candidate will spot gaps in our product, identify opportunities for innovation, and turn insights into impactful solutions. You’ll own the product lifecycle end-to-end—from strategy and ideation to launch and adoption—driving measurable business outcomes along the way. This postion is a high impact role working directly with the founders and engineering team to drive product and GTM execution. This is an in-office position based in Coimbatore.
Objectives of this Role
Lead product and business planning across cross-functional teams.
Analyze customer needs, market trends, and competitor offerings to shape product direction.
Translate requirements into clear product strategies, roadmaps, and execution plans.
Appraise new product ideas and define effective go-to-market strategies.
Maintain production timelines and align stakeholders across departments.
Responsibilities
Create & Implement Product Strategy
- Translate business strategy into actionable product strategy.
- Own and prioritize the product roadmap.
- Drive execution to deliver impactful products.
- Lead cross-functional alignment to get products to market.
- Plan and manage product launches.
- Contribute to product profitability and long-term commercial success.
Conduct Market & User Research
- Research market trends, competitors, and customer needs to inform product direction.
- Generate and validate ideas through data-driven analysis and stakeholder input.
- Continuously evaluate opportunities for differentiation.
Oversee Product Development & Design
- Guide product development with a focus on customer-centric design.
- Leverage customer and stakeholder feedback to refine features.
- Ensure seamless collaboration with design, engineering, and business teams.
Drive Communication & Stakeholder Alignment
- Clearly communicate strategy, priorities, and progress to all stakeholders.
- Align teams before major milestones (feature definition, pricing, launch, testing, post-launch review).
Lead Product Launches & Adoption
- Develop and implement go-to-market strategies.
- Partner with marketing, sales, and customer success to enable effective rollout.
- Leverage CRM, analytics, and project management tools to track impact.
Enable Training & Knowledge Sharing
- Create training resources, help pages, and customer-facing materials.
- Collaborate with engineering and customer success teams to ensure product adoption.
Required Skills & Qualifications
Proven experience in product management within a fast-paced environment.
Track record of overseeing the full product development lifecycle.
Strong ability to design and execute product marketing strategies.
Excellent communication skills—writing, presenting, and influencing across levels.
Preferred Skills & Qualifications
Bachelor’s degree (or equivalent) in product design, engineering, or related field.
Previous experience in software or web development.
Demonstrated success as a hands-on product developer before moving into management.
Job Overview:
We are looking for a seasoned OpenStack Administrator with strong expertise in managing large-scale production environments. The ideal candidate should have hands-on experience with Linux, Kubernetes, and OpenShift, and be capable of performing routine maintenance, upgrades, and troubleshooting in complex cloud infrastructures.
The candidate must also be comfortable working with Red Hat support, managing escalations, and communicating effectively with both internal teams and external clients.
Key Skills & Qualifications:
- Proven experience managing OpenStack infrastructure in production.
- Strong proficiency in Linux system administration (RHEL/CentOS preferred).
- Hands-on experience with Kubernetes and OpenShift.
- Experience with system monitoring, log management, and troubleshooting tools.
- Familiarity with RH support portal, managing cases, and following up on resolutions.
- Excellent problem-solving skills and ability to work under pressure.
- Strong client communication skills and ability to articulate technical issues clearly.
- Proven ability to work in and manage large-scale production environments.
Candidates with OpenStack certification will be preferred.
Responsibilities:
Ensure product delivery is fast, low-cost and sustainable.
Take responsibility from development to customer support.
Research and implement things wherever needed, improve efficiency using
automation, and methods like test driven development.
Setting up events for user, performance and error analytics.
Participate in product and design ideation, collaborate with the team to
implement high-quality features.
Skills & Qualifications
2 years of experience in software development preferably B2C experience.
Experience in React native, Javascript.
Experience with popular React workflows (such as Flux or Redux).
Familiarity with newer specifications of ECMAScript (ES6 & ES5 ).
Familiarity with RESTful APIs.
Experience in working with the MERN stack or similar frameworks
Job Title: ELK Stack Engineer
Position Overview:
We are seeking a skilled and experienced Senior Elasticsearch Developer to join our team. The ideal candidate will be responsible for designing, developing, and maintaining data pipelines using the ELK Stack (Elasticsearch 7.1 or higher, Logstash, Kibana). The Senior Elasticsearch Developer will play a key role in managing large datasets, optimizing complex queries, and maintaining self-hosted Elastic Search clusters.
Responsibilities:
- Design, develop, and maintain data pipelines using the ELK Stack.
- Handle large datasets (3 billion+ records, 100+ fields per index) with efficiency and accuracy.
- Develop and optimize complex Elasticsearch queries for efficient data retrieval and analysis.
- Manage and maintain self-hosted Elastic Search clusters.
- Implement DevOps practices, including containerization with Docker.
- Perform backups, disaster recovery, and index migrations to ensure data security and integrity.
- Execute data processing and cleaning techniques, including writing custom scripts to extract and transform data into usable formats.
- Collaborate with the engineering team to integrate Elastic Search with other systems.
Requirements:
- Bachelor's degree in Computer Science, Engineering, or related field.
- Minimum 5+ years of experience in designing, developing, and maintaining data pipelines using the ELK Stack.
- Hands-on experience handling large datasets (3 million+ records, 50+ fields per index).
- Strong proficiency in developing and optimizing complex Elasticsearch queries.
- Experience managing and maintaining self-hosted ElasticSearch clusters.
- Proficiency in DevOps practices, including containerization with Docker.
- Knowledge of security best practices, including backups, disaster recovery, and index migrations.
- Experience with database administration and data processing techniques.
- Excellent communication and teamwork skills.
Benefits:
- Competitive salary and benefits package between 20 to 35 LPA.
- Opportunities for professional development and growth.
- Collaborative and inclusive work environment.
- Flexible work hours and remote work options.
You will design and b
uild scalable systems to be used by millions of farmers and agri businesses
You will work on building progressive web apps forked off open source frameworks that work equally well on low end devices, low bandwidth network and even offline
You will work with spatiel imagery data to build maps based solutions for farmers and businesses
We believe in a small and effective team - you will have a say in what to build and then own it
You will lead a team of both Android, web and back end developers
We are paranoid about performance - you will investigate performance scalability bottlenecks and existing queries and / or write new queries with performance optimisation in mind
Identify libraries and technologies that solve our problems and / or worth experimentation
Requirements
Have 10-15 years of experience in web development including managing a team
Come up with your own and team's goals and dont need heavy direction or check-ins
Have experience in setting up the, full dev workflow - right from Dev, test, build to deployment
Have command over one language, preferably python, else java / JS/ Ruby - including debugging and performance analysis
Have clear understanding of databases - Relational and non relational - their data models and performance trade offs; experience designing database and querying to optimize performance
Have experience in developing webapps with atleast one framework (Django, flask, ROR) etc
Have handson experience with caching techniques and utilities like memcache / Redis
Have experience in implementing and deploying distributed systemes on AWS / GCP et c
Have clear understanding of data structures and algorithms
Showcase your work available in opensource, online courses etc
technical solutions implementation, architecture design, evaluation
and investigation in a cloud environment (specifically AWS and/or
Azure), preferably with IoT products.
● Working with smaller startups or mid-sized companies
Experience in one of following programming languages:
Python/Node.js
● Python and restful API frameworks. Experience of
working/integrating with cloud services providers like AWS
(preferred) / Azure / GCP
● Good understanding of HTML, CSS, Javascript & jQuery. Hands
on experience with React.js/React.native Experience in REST APIs,
SSO.
● Experience with server-side programming in a high volume
large system / application environment including the availability,
scalability, resiliency, and performance design patterns
● Management of hosting environment, including database
administration (preferably relational databases MySQL, Postgres etc.)
● Familiarity with software configuration management tools,
defect tracking tools, peer review tools and source control systems
(like git). Create and maintain good quality software documentation.
● Experience & willingness to work with overseas (e.g. USA)
customers and product management teams
● Experience building, leading, managing and mentoring highperformance engineering teams of 3-10 engineers
● Good verbal & written communication skills in English
Roles and Responsibilities
Develop and Implement Technology Solutions
Understand Functional Specifications and transform into technical programs specs to code, test and debug programs
Develop, Code and execute unit tests, systems and integration and acceptance tests and testing tools for functions of high complexity.
Perform performance tuning to improve performance over multiple functions.
Troubleshooting and resolving issues to optimize performance
Support functional consultants in designing solutions for the gaps identified.
Desired Candidate Profile
7- 12 Years of ABAP Experience
Strong Object Orientation experience
SAP ABAP and Netweaver / Webdynpro Development
SAP H4 HANA 1709 and above
Experience in third party integration
Knowledge and experience of delivering projects in an agile framework
Strong analytical and problem solving skills
Ability to write technical speficifications
Great interpersonal and communication skills
SAP Certification is a plus
Work Experience in a pharma company is another big plus
Purpose of the Role
To design and implement the Peak AI System - a new system of intelligence that allows companies to quickly harness the power of AI.
The Opportunity
Peak is a Decision Intelligence company - we are on a mission to help organisations use AI to make great commercial decisions, all the time. Just as importantly, we are also focused on building an amazing company - one where we truly value our people & culture, and strive to make an amazing and diverse place to work. Our recent Best Companies award & 3 star accreditation for being one of the top companies to work for is a testament to this.
We have ambitious plans over the coming years; to launch and lead a new category of technology (Decision Intelligence), expand our operations and create the best working culture possible. This is a great time to join Peak and the Engineering team, as we start the next stage of our global growth.
The Role
Based in Jaipur or Pune, you will be working in a collaborative team on cutting edge technologies in a supportive and dynamic environment. Ultimately you are responsible for building the CODI and on-boarding new clients - this involves:
- Developing a good understanding of the solutions which Peak delivers, and how these link to Peak’s overall strategy.
- Making suggestions towards shaping the strategy for a feature and engineering design.
- Managing own workload and usually delivering unsupervised. Accountable for their own workstream or the work of a small team.
- Understanding Engineering priorities and is able to focus on these, helping others to remain focussed too
- Acting as the Lead Engineer on a project. Helps ensure others follow Peak processes, such as release and version control.
- An active member of the team, through useful contributions to projects and in team meetings.
- Supervising others. Deputising for a Lead and/or support them with tasks. Mentoring new joiners/interns and Masters students. Sharing knowledge and learnings with the team.
Required Skills and Experience
We are building a team of world class engineers in Jaipur / Pune, essentially we are looking for bright, talented engineers looking to work at the cutting edge of practical AI.
- Acquired strong proven professional programming experience.
- Strong command of Algorithms, Data structures, Design patterns, and Product Architectural Design.
- Good understanding of DevOps, Cloud technologies, CI/CD, Serverless and Docker, preferable AWS
- Proven track record and expert in one of the field - DevOps/Frontend/Backend
- Excellent coding and debugging skills in any language with command on any one programming paradigm, preferred Javascript/Python/Go
- Experience with at least one of the Database systems - RDBMS and NoSQL
- Ability to document requirements and specifications.
- A naturally inquisitive and problem-solving mindset.
- Strong experience in using AGILE or SCRUM techniques to build quality software.
- Advantage: experience in React js, AWS, Nodejs, Golang, Apache Spark, ETL tool, data integration system, certification in AWS, worked in a Product company and involved in making it from scratch, Good communication skills, open-source contributions, proven competitive coding pro
As well as doing great work we have created an award-winning, fun and exciting workplace that people love to be, we are looking for people to join us who share our values and are:
- Open - Always up for new ideas and able to take and give feedback in a positive way.
- Driven - sets high goals, doesn’t give up, and make sacrifices to ensure that their job gets done on time and meets/exceeds expectations.
- Curious - Aware of new technologies and uses them to make new improvements in the Engineering ecosystem.
- Smart - Innovative and thinks out of the box, in difficult situations finds a way to succeed no matter what
- Responsible - takes ownership of tasks given and has a strong work ethic.
About Peak
In an age when becoming AI and data-driven is one of the most important things businesses must do, it can also be one of the most challenging. That’s where Peak comes in; our CODI system sits at the heart of our client’s businesses, enabling the rapid unification, modelling and - most importantly - use of data - helping decision makers make great commercial decisions, powered by AI. All supported by our world-class data science team.
Founded in 2014, Peak has grown rapidly, in line with the world’s fastest growing SaaS companies, winning numerous awards and attracted significant funding to support the company’s ongoing investment in machine learning and AI technologies. All to further our mission to become the world’s leading AI System business.
Headquartered in Manchester, Peak also has offices in London, Edinburgh, Jaipur and Brisbane. Our clients include some of the world's leading retailers, manufacturers and well-known brands alongside highly innovative and tech-savvy businesses. Peak is an Amazon Web Services (AWS) Partner, and holds Machine Learning Competency and Retail Competency status.














