This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Infrastructure Engineer based in India.
As an Infrastructure Engineer, you will help build, operate, and modernize a hybrid infrastructure environment spanning on-premises data centers and multiple public cloud platforms. You will play a key role in making infrastructure automation the standard approach to provisioning, deployment, and operations. Working alongside infrastructure, DevOps, site reliability, security, and product engineering teams, you will develop scalable, secure, and cost-effective solutions. Your work will help reduce manual processes, accelerate delivery, improve platform reliability, and strengthen operational efficiency. You will contribute to Infrastructure as Code, container orchestration, CI/CD pipelines, observability, and AI-driven operational improvements. This fully remote opportunity offers an environment where technical innovation, collaboration, and continuous improvement are central to delivering reliable infrastructure services.
Accountabilities
Contribute to the development and operation of a consistent hybrid infrastructure platform spanning on-premises virtualization technologies, including VMware vSphere, Nutanix, and Proxmox, as well as public cloud environments such as AWS, Azure, and GCP.
Support enterprise storage, networking, identity, and connectivity services, including iSCSI, Fibre Channel, NFS/SMB, object storage, Active Directory, DNS, DHCP, VPNs, and cloud connectivity solutions.
Develop, maintain, and improve Infrastructure as Code and configuration management solutions using Terraform, Ansible, CloudFormation, and related automation technologies.
Automate infrastructure provisioning, configuration, patching, upgrades, lifecycle management, and decommissioning through version-controlled, repeatable workflows.
Support virtualization, cloud, and container platform management, ensuring consistent, secure, and recoverable control planes across the hybrid environment.
Operate and improve container platforms, including Kubernetes, OpenShift, EKS, and AKS, using standardized Helm charts and GitOps deployment practices with tools such as Argo CD and Flux.
Build and maintain CI/CD pipelines using GitLab CI, GitHub Actions, Jenkins, or similar tools to enable reliable, secure, and repeatable software delivery.
Identify opportunities to replace manual, ticket-driven processes with automated workflows, self-service infrastructure provisioning, and reusable service catalogue items.
Integrate automation with IT service management platforms, particularly ServiceNow, to streamline provisioning, change management, event-driven remediation, and operational support.
Implement observability and site reliability engineering practices using Prometheus, Grafana, ELK/OpenSearch, and OpenTelemetry, supporting service-level objectives, incident response, and blameless post-incident reviews.
Develop automated remediation workflows and operational runbooks that improve NOC and SRE efficiency, reduce incident resolution times, and prevent recurring issues.
Monitor infrastructure health and capacity, analyze operational trends, anticipate resource requirements, and address potential performance or availability issues proactively.
Explore AI-driven operational enhancements, including AIOps, anomaly detection, intelligent reporting, and AI-assisted automation, to improve reliability and operational insight.
Maintain accurate infrastructure inventories, configuration records, and dependency documentation through automated asset discovery tools such as ITGlue and consistent metadata and tagging standards.
Strengthen security and compliance through policy as code, secrets management with HashiCorp Vault, image scanning, and automated compliance checks.
Apply automation to existing and legacy infrastructure, progressively modernizing systems while maintaining operational continuity and minimizing disruption.
Support cloud and infrastructure cost optimization through resource right-sizing, scheduling, utilization monitoring, and automated decommissioning, contributing to FinOps initiatives.
Follow engineering standards, develop reusable automation modules, review third-party delivery partner work, and collaborate with distributed engineering teams.
Share technical knowledge, document solutions, and help strengthen automation capabilities across the broader infrastructure organization.
Requirements
5–7 years of professional experience in infrastructure engineering, platform engineering, DevOps, or a related technical discipline.
Hands-on experience building and operating hybrid infrastructure environments across on-premises data centers and public cloud providers, including AWS, Azure, GCP, Hetzner, OVH, or comparable platforms.
Practical experience with Infrastructure as Code, particularly Terraform and Ansible, as well as configuration management and automated provisioning.
Experience with Kubernetes and container platforms, GitOps workflows, Helm, and CI/CD tools such as GitLab CI, GitHub Actions, or Jenkins.
Strong understanding of enterprise networking concepts, including routing, load balancing, DNS, firewalls, VPNs, Direct Connect, and ExpressRoute, alongside Linux and Windows server administration.
Working knowledge of enterprise storage technologies, including SAN/NAS, iSCSI, Fibre Channel, and domain services such as Active Directory, DNS, and DHCP.
Scripting or development skills in Python, Bash, PowerShell, or similar languages, with the ability to build reliable, secure, and maintainable automation solutions.
Demonstrated experience automating manual operational processes, developing runbooks, and encouraging the adoption of self-service infrastructure and repeatable workflows.
Familiarity with systems lifecycle management, infrastructure health and capacity monitoring, automated remediation, and operational support practices for NOC or SRE teams.
Exposure to asset discovery and documentation solutions, such as ITGlue, and an understanding of metadata and tagging standards that support infrastructure automation.
Interest in applying AI to infrastructure operations, including AIOps, anomaly detection, intelligent reporting, and AI-assisted workflows.
Ability to introduce automation into established environments, integrate with legacy systems, and modernize infrastructure incrementally rather than relying exclusively on greenfield implementations.
Experience collaborating with offshore engineering teams or third-party technology partners in distributed delivery environments.
Strong problem-solving, analytical, communication, and collaboration skills, with a proactive approach to identifying improvement opportunities and sharing technical knowledge.
Relevant certifications are an advantage, including AWS Solutions Architect – Associate, Azure Administrator, Certified Kubernetes Administrator (CKA), HashiCorp Terraform Associate, or Red Hat Ansible certifications.
Benefits
Fully remote work: Work remotely from India, with flexibility around work arrangements and location.
Flexible working environment: Benefit from adaptable work schedules and working arrangements designed to support productivity and work-life balance.
Competitive compensation: Access a competitive salary and benefits package.
Inclusive culture: Join a collaborative environment that values diverse perspectives, transparency, integrity, and mutual respect.
Career development: Access opportunities for professional growth, technical learning, and career development planning.
Innovation-driven environment: Work on infrastructure automation, AI/ML-enabled operations, cloud technologies, and next-generation networking solutions.
Collaborative global team: Work with colleagues across diverse backgrounds and disciplines in an international engineering environment.
Security-focused culture: Benefit from ongoing IT security training and awareness initiatives designed to strengthen cybersecurity knowledge and protect critical systems.
Sustainability initiatives: Contribute to environmental, social, and governance programs that support responsible business practices.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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