DevOps Engineer Job Openings in Bangalore & Mumbai!!!
AURIC AI Labs announced job vacancy for the post of DevOps Engineer.The place of posting will be at Bangalore & Mumbai.Candidates who have completed Graduate / Engineering / Post Graduate with Fresher / Experience are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows
Company Overview
| Name of the Company | AURIC AI Labs |
| Required Qualifications | Graduate |
| Skills | Firewalls, VPNs, DNS, TLS, ports/protocols, and hardening practices |
| Category | Technology |
| Work Type | Onsite |
They’re looking for a DevOps Engineer to co-manage and strengthen their infrastructure, spanning on-premises servers, network security, and their cloud environment. Working alongside the engineering team, you’ll help mature our platform through improved observability, automated deployments, and robust CI/CD practices. The core focus of this role is DevOps fundamentals, including infrastructure, networking, and automation, with a growing footprint in MLOps as our machine learning workflows move toward production-grade tooling.
Job Details
Θ Positions: DevOps Engineer
Θ Job Location: Bangalore & Mumbai
Θ Salary: As per company standards
Θ Job Type: Full Time
Θ Requisition ID: JRGDSQTN7
Roles and Responsibilities:
- Infrastructure & Security:
- Co-manage server infrastructure: provisioning, hardening, patching, backups, and access management
- Support firewall and network security operations: rule management, VPN access, segmentation, and anomaly monitoring
- Administer cloud resources: services, IAM, cost monitoring, and security configuration
- Automation & Tooling:
- Design and implement CI/CD pipelines for automated testing and deployment
- Introduce infrastructure-as-code to make environments reproducible and well-documented (Terraform, Ansible, or similar)
- Establish observability across servers, network, and applications: metrics, logging, alerting, and dashboards
- Reduce manual operational work through automation
- MLOps:
- Support ML workflows with pipeline automation, experiment tracking, and model deployment tooling
- Containerize and serve models, with monitoring for model and data health
- Contribute to establishing reproducible, versioned ML practices
Required Skills & Qualifications:
- 1+ years of hands-on experience in DevOps, systems administration, SRE, or infrastructure-focused roles
- Working knowledge of networking and network security: firewalls, VPNs, DNS, TLS, ports/protocols, and hardening practices
- Experience administering Linux servers (provisioning, users and permissions, services, troubleshooting)
- Familiarity with at least one major cloud provider (AWS, GCP, or Azure)
- Experience with containers (Docker) and scripting (Bash and/or Python)
- Exposure to CI/CD concepts and tooling (GitHub Actions, GitLab CI, Jenkins, etc.)
- Interest in MLOps and willingness to learn the ML lifecycle: training pipelines, model deployment, and monitoring
- Strong ownership mindset and clear communication around security and reliability trade-offs
Nice to Have
- Experience managing on-premises infrastructure (physical servers, local networking, hypervisors)
- Hands-on exposure to MLOps tooling (MLflow, Kubeflow, Airflow, model serving frameworks)
- Infrastructure-as-code experience (Terraform, Ansible, Pulumi)
- Kubernetes or other container orchestration experience
- Monitoring and observability stack experience (Prometheus, Grafana, Loki, ELK)
- GPU workload or ML infrastructure exposure
- Relevant certifications (cloud provider associate-level, networking, or security)
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