
Overview
Location: Remote
Experience: 3-5 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.
InfraMetrics Collector highly robust and scalable.
Role Overview:
We are seeking a highly skilled DevOps & Infrastructure Engineer to create, harden, and
maintain development, UAT, and production environments across bare metal and Red Hat Linux
systems.
The ideal candidate will have deep expertise in server security hardening, CI/CD pipelines,
Kubernetes (OpenShift), VMware, and cloud infrastructure. This role also involves supporting
the observability, alerting, and deployment processes for our SaaS platform and customer
on-prem installations.
This role will report into the Head of Software Engineering.
Key Responsibilities:
- Create and manage development (Dev), UAT, and production (Prod) environments on bare
- Harden Linux servers for security compliance, ensuring systems pass VAPT (Vulnerability
- Develop CI/CD pipelines from GitHub to Linux-based VMs running OpenShift Kubernetes
- Ensure high availability, observability, and proactive alerting for our SaaS platform.
- Automate deployment of our InfraMetrics Collector in customer on-prem environments.
- Work with VMware vCenter and Kubernetes Cluster APIs to manage infrastructure resources
- Monitor infrastructure performance and implement proactive scaling solutions.
- Collaborate with Head of Software Engineering to enforce API security, access control, and
- Work in Agile development cycles, and participate in sprint planning, code reviews, and
Experience:
- 5+ years of hands-on DevOps and infrastructure engineering experience managing
- Strong experience with Red Hat Linux and bare metal infrastructure management.
- Expertise in Linux security hardening (firewall configuration, SELinux, system patching).
- Deep knowledge of OpenShift Kubernetes (OCP) and container orchestration.
- Proficiency in CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, ArgoCD) for OpenShift &
- Hands-on experience with VMware vCenter API and Kubernetes Cluster API for infrastructure
- Cloud and on-prem experience, with exposure to AWS, GCP, Azure, and private cloud
- Scripting and automation expertise (Bash, Python, Ansible, Terraform, Pulumi).
- Strong security background, including API security, authentication (OAuth, JWT, mTLS), and
- Experience with observability and monitoring tools, including:
o ELKStack(Elasticsearch,Logstash,Kibana)
Must have:
- Red Hat Linux administration and server hardening for security compliance.
- CI/CD pipeline automation from GitHub to OpenShift & Linux VMs.
- Deep knowledge of OpenShift Kubernetes (deployment, scaling, monitoring, RBAC, network
- Experience with VMware vCenter API and Kubernetes Cluster API for infra management.
- Proficiency in Infrastructure-as-Code (Terraform, Ansible, Pulumi). Experience with
- Security compliance knowledge (VAPT testing, CIS benchmarks, API security hardening).
- Proven experience in maintaining high-availability infrastructure for SaaS Platforms.
- Experience with service mesh architectures (Istio, Linkerd).
- Familiarity with Zero Trust security models.
- Exposure to air-gapped Kubernetes deployments for security-sensitive environments.
- Experience with automated compliance enforcement tools (OpenSCAP, Falco, Aqua Security).
- Knowledge of hybrid cloud networking (VPCs, VPNs, private links between on- prem and
- Hands-on experience with HashiCorp Vault for secrets management.
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 /husnara@suventure.in