Location: Remote
Experience: 4-5 years
Type: 3 months contract
About the Company and SaaS product:
We are a dynamic startup revolutionizing how AI resources are consumed optimally with our
innovative SaaS B2B platform. Our mission is to simplify decision-making for CIOs by providing
tailored recommendations that balance cost, power consumption, and compatibility with existing
IT environments. We take the complexity out of choosing the right infrastructure, optimizing both
cost and power consumption while delivering high-performance AI and IT workloads.
Our platform, designed by esteemed professors in AI/ML, industry CIOs, and brought to market
by experienced software industry executives, addresses the critical challenges CIOs face in
navigating the rapidly evolving AI landscape.
By offering real-time, tailored recommendations, we enable CIOs to make informed decisions
quickly, reducing complexity and driving immediate benefits. Join us to be part of a team that is
shaping the future of AI infrastructure with innovation, expertise, and a commitment to
excellence.
The role covers multi-cloud monitoring expertise and security compliance, making our
InfraMetrics Collector highly robust and scalable.
Role Overview:
We are seeking a highly experienced Backend Engineer skilled in GoLang to build and deploy
our InfraMetrics Collector. This engineer will play a critical role in: • Developing a highly secure,
containerized infrastructure monitoring component • Seamlessly integrating with on-prem &
cloud environments • Ensuring VAPT compliance and API security • Pushing collected metrics
to our SaaS platform efficiently
This role requires deep expertise in cloud-native architectures, API security, Kubernetes APIs,
and infrastructure monitoring.
This role will report to the Head of Software Engineering.
Key Responsibilities:
• Develop our InfraMetrics Collector using GoLang for seamless integration with customer
on-prem data centers and cloud environments.
• Collect infrastructure and Kubernetes cluster resource metrics from various environments,
ensuring accuracy and reliability.
• Call Kubernetes APIs to install infrastructure toolkits on customer VMware vCenter or
Kubernetes clusters.
• Ensure the component meets high security standards, passes Vulnerability Assessment &
Penetration Testing (VAPT), and complies with API security best practices.
• Deploy the component as a secure containerized service (Docker, Kubernetes) to be easily run
in customer environments.
• Push collected infrastructure metrics to our SaaS platform into a distributed (e.g., Cassandra)
or relational (e.g., PostgreSQL) database, applying time-series segregation for analytics.
• Implement unit and integration tests to validate performance, reliability, and security.
• Optimize the system for minimal resource usage, ensuring high availability and scalability.
• Work in Agile development cycles, participating in sprint planning, code reviews, and security
audits.
Experience:
• 5+ years of hands-on backend engineering experience in building enterprise-grade production
applications.
• Strong expertise in GoLang and Python for backend development.
• Experience with infrastructure monitoring tools (Prometheus, Grafana, OpenTelemetry,
Telegraf, etc.).
• Deep understanding of Kubernetes APIs, including resource metrics collection and
automation.
• Experience integrating with cloud/on-prem platforms such as AWS, Azure, GCP, VMware
vCenter, OpenShift.
• Strong security background, including API security (OAuth, JWT, mTLS) and VAPT
compliance.
• Containerization expertise using Docker, Kubernetes, Helm.
• Hands-on experience with time-series and distributed databases (e.g., Cassandra,
PostgreSQL).
• Experience building CI/CD pipelines to automate testing and secure deployment.
• Proficiency in RESTful and gRPC API development and security best practices.
Nice to have:
• Experience with server-side rendering (Next.js).
• Knowledge of WebSockets and real-time data streaming in dashboards.
• Familiarity with cloud platforms (AWS, GCP, or Azure).
• Experience with front-end performance optimization techniques.
Why Join Us?
🚀 Innovate in a fast-growing AI SaaS startup shaping enterprise AI infrastructure.
💡 Work on cutting-edge technologies with AI/ML-driven decision-making.
🌍 Flexible remote work culture with a collaborative and dynamic team.
📈 Career growth opportunities in a rapidly evolving AI/GPU/Data centers domain.
Interested candidates can send their updated resumes to careers@suventure.in /madhuri@suventure.in
