

BELTECH ARTIFICIAL INTELLIGENCE PRIVATE LIMITED
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Jobs at BELTECH ARTIFICIAL INTELLIGENCE PRIVATE LIMITED

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The DevOps Engineer's core responsibilities include automated configuration and management
of infrastructure, continuous integration and delivery of distributed systems at scale in a Hybrid
environment.
Must-Have:
● You have 4-10 years of experience in DevOps
● You have experience in managing IT infrastructure at scale
● You have experience in automation of deployment of distributed systems and in
infrastructure provisioning at scale.
● You have in-depth hands-on experience on Linux and Linux-based systems, Linux
scripting
● You have experience in Server hardware, Networking, firewalls
● You have experience in source code management, configuration management,
continuous integration, continuous testing, continuous monitoring
● You have experience with CI/CD and related tools
* You have experience with Monitoring tools like ELK, Grafana, Prometheus
● You have experience with containerization, container orchestration, management
● Have a penchant for solving complex and interesting problems.
● Worked in startup-like environments with high levels of ownership and commitment.
● BTech, MTech or Ph.D. in Computer Science or related Technical Discipline

The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
The Senior Software development engineer core responsibilities include technically leading a
small team of software development engineers along with writing code in a highly modular,
scalable, maintainable, unit tested platform. You will be working in a fast-paced, agile, dynamic
work environment that has an immediate business impact.
MUST HAVE
● You have 5-7 years of relevant Industry experience.
● You have experience in technically leading a small team of highly motivated engineers,
in guiding them in understanding of requirements, in architecture/design (high level/low
level) of the applications, in best coding and QA practices, in reviewing their software
artefacts.
● You are a rockstar programmer/coder - should be able to convert requirements/design
into code fluently.
● You have a strong concept in design principles, patterns.
● You have good experience in Linux OS.
● You have a solid foundation in computer science, with strong competencies in data
structures, algorithms and software design.
● Have a penchant for solving complex and interesting problems.
● Worked in startups like environment with high levels of ownership and commitment.
● BTech, MTech or PhD in Computer Science or related Technical Discipline - preferably
from premier Engineering colleges.
● Good skills to write unit & integration tests with reasonable coverage of code &
interfaces.
NICE TO HAVE
● Knowledge of databases, Cloud, preferably AWS
● Experience in Python, Python frameworks and libraries, and NodeJS.
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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.
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