Infrastructure Engineer

• Lead infrastructure support and administration for Oracle EBS R12.2 environments.
• Manage and troubleshoot Oracle DBA activities, including performance tuning, backups, patching, and upgrades.
• Configure and maintain SSO and SSL setups for EBS and Fusion Applications.
• Administer Oracle Cloud Infrastructure (OCI) core components and Autonomous Databases (ADP/ADW).
• Implement and manage WebLogic domains and related Fusion Middleware components.
• Perform middleware patching, upgrades, and performance tuning.
• Support E-Business Suite R12.2 upgrades, patching, and maintenance activities.
• Deploy, maintain, and optimize Docker containers and Kubernetes clusters.
• Support and administer Apache Kafka clusters, topics, and message streaming workflows.
• Troubleshoot and resolve high-priority production issues efficiently.
• Participate in planning, designing, and implementing infrastructure projects and enhancements.
• Work in a shift-based environment, including weekends or off-hours as needed.
• Collaborate with cross-functional teams to ensure high availability, reliability, and performance.

Senior Infrastructure Specialist – Oracle

• As an Infrastructure Engineer, you will be a key driver and doer in a fundamental shift in how we architect and host our application estate.
• You will be an advocate to enable a composable technology foundation.
• Your focus will be on both assisting in the ideation and realization of what our next generation platform will encompass, as well as helping our Product teams in implementing products.
• Execute technical practices and engineering methodologies.
• Work on building high quality, architecturally sound systems that are aligned with our business needs.
• Participate in POCs for new technology solutions.
• Handling and automating day to day administration tasks including systems reporting and system tuning.

• Design, build, and operate the Kubernetes platform that powers GNI network automation, telemetry, and operations across data center, colocation, and cloud environments.
• Own the lifecycle management for GNI Kubernetes environments, including cluster onboarding, upgrades, capacity, availability, and recovery.
• Develop production-quality software and automation for cluster provisioning, validation, upgrades, remediation, and safe multi-cluster delivery through GitOps.
• Provide production support for network services hosted on the platform, working with Network Automation and service teams that retain ownership of application architecture, code, and features.
• Diagnose complex Kubernetes platform and hosted-service failures involving control-plane health, cluster networking, storage, scheduling, workload placement, and multi-cluster dependencies.
• Drive issues from initial signal through verified resolution.
• Define production-readiness and observability standards for the platform and hosted network services, including health signals, capacity, alerts, runbooks, and recovery.
• Participate in CFR’s production on-call rotation, including scheduled after-hours and weekend coverage.
• Lead incident response and recovery, then drive corrective actions to completion.

Senior Platform Engineer, Network Infrastructure

• Supporting the day-to-day operations; this involves engaging both internal and external stakeholders, at times utilizing a dotted-line leadership approach
• Automating and continuously improving Infrastructure and Cloud Security Governance reporting dashboards, scorecards and maturity models used to quantify and reduce cyber risks through actionable frameworks; this includes working with our Verizon India team to execute
• Supporting the designing of GTS On-Prem Network, Data centers and Cloud environments; along with GTS enterprise network and zero trust alignment
• Collaborating with stakeholders to identify gaps and process improvements in order to enhance security protections and improve cybersecurity maturity; this includes utilizing automation tools to measure program effectiveness
• Providing security awareness, training & compliance programs focused on Network Cybersecurity practices; this will require leveraging the Mavens program, a team of security professionals who facilitate adoption of Security by Design
• Partnering with our Verizon Cybersecurity teams; to include participating in Active Defense and Incident Response, Penetration Testing, Red team and Threat Hunt campaigns, as well as Tabletop Exercises when necessary
• Producing executive-level operational read-outs, metrics, and project statuses that accurately capture the effectiveness of our team’s mission
• Executing long-term and short-term strategic goals and ensuring proper updates are socialized to appropriate stakeholders; this requires cross-functional collaboration and relationship building to also achieve wider, organizational strategic goals
• Motivating, mentoring, and advising network & infrastructure analysts and engineers on how to build and maintain skills and techniques needed to produce quality work products. This includes hosting focused training sessions to teach new and specialized skill sets
• Promoting an environment of collaboration and individual accountability when it comes to problem-solving, decision-making, and process improvements

Infrastructure & Cloud Security Engineer

• Help design, shape and implement the automation pipelines (Github Actions, Terraform, ArgoCD)
• Improve dev infrastructure reliability and minimize wait times
• Help design, create and manage our cloud infrastructure (GCP managed services, Kubernetes (GKE), Terraform)
• Monitor our developer environments and help unblock developers
• Contribute and maintain documentation ensuring knowledge is shared

Staff Cloud Infrastructure Engineer

• Build and deploy comprehensive monitoring for GPU infrastructure using DCGM, NVML, and custom exporters; design metrics collection pipelines that track GPU health, utilization, thermal management, and performance across heterogeneous providers
• Deploy and manage production-scale Loki, Grafana, Tempo, and Mimir alongside Prometheus and Thanos/VictoriaMetrics; design retention strategies, aggregation rules, and query patterns that scale to thousands of GPUs
• Write Prometheus exporters in Go or Python for GPU metrics, platform services, and infrastructure components; implement proper metric naming, labeling strategies, and follow OpenMetrics standards
• Build custom controllers and operators for GPU workload management, scheduling, and resource allocation; instrument controllers with comprehensive metrics and tracing for observability
• Design and implement specialized observability for AI training workloads (GPU efficiency, distributed training performance, resource utilization) and inference services (latency percentiles, throughput, cost analytics)
• Deploy and manage SLURM clusters for HPC workloads, build observability for batch jobs, create bridges between SLURM and Kubernetes, and design unified monitoring across orchestrators
• Write and deploy systemd services for bare-metal GPU nodes including monitoring agents, metric collectors, and platform daemons; implement proper logging and error handling
• Manage infrastructure using ArgoCD and GitOps workflows, create observable platform abstractions that teams consume declaratively, build self-service capabilities with integrated monitoring
• Design intelligent, actionable alerting systems for GPU failures, thermal throttling, performance degradation, and workload anomalies; define platform SLOs and implement comprehensive monitoring to track reliability
• Build secure observability isolation ensuring customers access only their metrics and logs while maintaining platform-wide visibility for operations; implement query-time filtering and RBAC
• Implement automated collection of GPU and platform telemetry; integrate with OpenTelemetry for unified observability; manage cardinality and storage costs through intelligent aggregation
• Build monitoring pipelines that track GPU utilization, idle time, efficiency metrics, and cost allocation per tenant; create dashboards for platform economics and provider payout calculations
• Design systems that use observability data to detect hardware failures, trigger workload migration, and handle graceful degradation; ensure monitoring survives infrastructure changes
• Build intuitive dashboards, APIs, and alerting interfaces enabling providers to monitor hardware contributions and customers to track workload performance in real-time
• Use observability systems to rapidly identify root causes during production issues - GPU hardware failures, network bottlenecks, or workload problems; build tooling that reduces MTTD and MTTR
• Leverage observability data to identify bottlenecks in distributed training, inference latency issues, networking inefficiencies, and opportunities for GPU utilization improvement

• Design and operate cloud infrastructure supporting petabyte–exabyte‑scale systems.
• Manage and evolve production Kubernetes clusters with high availability and predictable scaling.
• Build and optimize CI/CD pipelines for faster builds, reliable tests, and safer deployments.
• Improve developer experience by reducing friction and automating workflows.
• Contribute to E2E testing and release‑confidence systems.
• Strengthen observability across logging, metrics, tracing, and alerting.
• Collaborate across engineering teams on architecture, reliability, and scaling challenges.
• Own customer‑facing technical integration — guide deployments, troubleshoot infra‑level issues in customer environments, and ensure Granica runs reliably within diverse cloud, data, and security stacks.
• Drive operational excellence through reliability, automation, and best practices.

Software Engineer, Infrastructure

• Design and provision complex Marketing Cloud environments
• Establish and maintain environment catalog with documentation
• Manage permission set stacking and licensing configurations
• Develop infrastructure-as-code templates
• Automate deployment workflows and CI/CD pipeline

Environment Infrastructure Engineer

• Act as the Level 2 escalation point for support teams, owning complex incidents and service requests requiring advanced infrastructure expertise
• Collaborate with Level 1 support, senior engineers, project teams, and vendors to resolve issues efficiently
• Mentor and guide Level 1 engineers by sharing troubleshooting techniques and providing clear direction for recurring issues
• Support and maintain infrastructure across: Networking, Servers, Virtualisation, Storage, Backup, Cloud platforms
• Administer and troubleshoot AWS and Microsoft Azure environments, including: Connectivity, Access management, Compute resources, Service availability
• Lead and contribute to infrastructure upgrades, patching, and changes in alignment with change control processes
• Investigate and resolve issues across: Network, Servers, Operating systems, Cloud, Applications
• Perform root cause analysis (RCA) to reduce recurring incidents
• Maintain comprehensive technical documentation, knowledge base articles, and incident records
• Identify opportunities to enhance: Monitoring, Alerting, Operational processes, Infrastructure reliability
• Leverage scripting and automation to streamline operations and reduce manual effort
• Drive service improvement through insights, lessons learned, and actionable recommendations
• Adhere to security, compliance, and change management policies
• Support audits, evidence collection, and vulnerability remediation activities
• Proactively escalate risks and service-impacting issues to senior stakeholders.

• As an AI Infrastructure Engineer, you are a deep technical contributor with subsystem ownership and notable technical influence.
• Your role will be crucial in ensuring that the AI solutions you contribute to are consistent, secure, and reliable.
• Architect reusable Terraform modules and Crossplane compositions for multi-environment use
• Design and maintain multi-environment GitOps structures with FluxCD
• Engineer advanced ADO pipeline patterns (multi-stage, gated, reusable templates)
• Solve complex AKS issue (networking, scaling, controllers, identity integration)
• Implement and maintain Workload identity patterns for AKS workloads
• Improve team practices through tooling, documentation, and automation improvements
• Perform technical reviews to ensure quality, security, and consistency
• Mentor junior AI Infrastructure Engineers, fostering growth and development of team members through knowledge-sharing, constructive code review, and by setting the standard for best practices

AI Infrastructure Engineer, Level 3

• Lead and operate vulnerability management across infrastructure, platforms, and applications
• Build, operate, and mature SIEM/XDR capabilities
• Investigate and respond to security incidents
• Design and implement detection strategies for suspicious activity
• Drive infrastructure and CI/CD hardening initiatives

Senior Security Infrastructure Engineer

• Deploy a full Google SecOps instance in our lab environment with a focus on the back end development of the SIEM (SOC operations and front end work is handled by our SOC operations platform / other teams)
• Administrate the lab environment as you work with us to integrate Google SecOps into our service offering. You will troubleshooting issues, train team members, and create procedures to avoid common problems
• Once the offering is stood up, role will transition to provide onboarding and production services/support to our customer base.
• Act as primary point of support and escalations for the Google SecOps engineers hired in each region including guiding other SIEM infrastructure engineers who will also support Google SecOps customers
• Identify gaps in processes and procedures and mature areas of improvement
• Work with our VP to help distribute the Google SecOps workload amongst engineering resources in each region
• Ensure security, availability, and confidentiality of all sensitive data collected, processed, or stored by this position

Managed Infrastructure Engineer III, SecOps

• Design and implement AWS infrastructure for Amazon Connect environments
• Deploy and manage Amazon Connect environments across Dev, Staging, and Production
• Utilize AWS services such as Lambda, S3, EventBridge, Data Bridges, and related services to support deployments
• Develop and maintain Infrastructure as Code (IaC) modules using Terraform Enterprise
• Ensure Terraform code is maintainable, reusable, and aligned with best practices
• Build and manage CI/CD pipelines for automated infrastructure deployment and updates
• Integrate Terraform Enterprise with CI/CD pipelines for seamless deployments
• Monitor infrastructure performance and troubleshoot deployment-related issues
• Collaborate with cross-functional teams to ensure secure, scalable, and reliable cloud solutions

AWS Infrastructure Engineer

• Lead the design, implementation, and maintenance of robust infrastructure solutions to meet organizational needs.
• Optimize infrastructure performance, troubleshoot issues, and ensure high availability and reliability.
• Collaborate with cross-functional teams to align infrastructure architecture with enterprise goals.
• Conduct regular system audits and provide recommendations for upgrades and improvements.
• Stay updated with the latest infrastructure technologies and trends to drive continuous improvement.

Infrastructure Engineering Advisor

• Design, implement, and support fault-tolerant, highly available architectures across Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), including redundancy, load balancing, and automated failover strategies.
• Deploy, manage, and optimize cloud infrastructure using infrastructure-as-code (IaC) tools such as Terraform and Ansible.
• Implement and maintain monitoring, alerting, and logging solutions using tools such as Splunk, Azure Monitor, Dynatrace, and AWS CloudWatch or similar to detect and resolve issues proactively.
• Lead incident response activities, including real-time troubleshooting, root-cause analysis, post-incident reviews, and continuous improvement actions to increase uptime and resilience.
• Perform capacity planning and performance engineering by forecasting demand, tuning systems, and implementing autoscaling and performance best practices.
• Develop and maintain automation scripts and internal tools using Python, PowerShell, Bash, or similar languages to reduce manual intervention and operational toil.
• Collaborate with security teams to implement secure infrastructure practices including encryption, role-based access control, auditing, and vulnerability management.
• Work closely with engineering and DevOps teams to promote reliability best practices and contribute to a collaborative, blameless culture that improves consistency and quality of operations.

Tech Lead, Infrastructure Engineering

• Design, deploy, and manage Kubernetes-based platforms in production
• Implement and manage automation frameworks for infrastructure provisioning and operations
• Administer and optimize VMware environments (vSphere, ESXi, vCenter)
• Support infrastructure across compute, storage, and networking layers
• Build and maintain Infrastructure as Code (IaC) using automation tools
• Troubleshoot performance, scalability, and availability issues
• Automate deployment workflows and operational tasks
• Collaborate with architecture and delivery teams on solution design

Infrastructure Engineer jobs in India

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Senior Infrastructure Specialist – Oracle

Infrastructure Engineer

Senior Platform Engineer, Network Infrastructure

Infrastructure & Cloud Security Engineer

Staff Cloud Infrastructure Engineer

Infrastructure Engineer

Software Engineer, Infrastructure

Environment Infrastructure Engineer

Infrastructure Engineer

AI Infrastructure Engineer, Level 3

Senior Security Infrastructure Engineer

Managed Infrastructure Engineer III, SecOps

AWS Infrastructure Engineer

Infrastructure Engineering Advisor

Tech Lead, Infrastructure Engineering

Data Center Infrastructure Engineer