Production Engineer
IBM
Production Engineer
Job Description
Production Engineer
📋 Job Overview
The Production Engineer at IBM will be responsible for scaling, automating, and optimizing multi-cloud platform infrastructure across AWS, GCP, and Azure. The role involves designing, implementing, and operating highly available systems using Kubernetes to support mission-critical applications, ensuring reliability, automation, and operational excellence.
📍 Location: BANGALORE, IN (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- Ensure platform reliability and performance: Monitor, troubleshoot, and optimize production systems running on Kubernetes (EKS, GKE, AKS)
- Automate operations: Develop and maintain automation for infrastructure provisioning, scaling, and incident response
- Incident response & on-call support: Participate in on-call rotations to quickly detect, mitigate, and resolve production incidents
- Kubernetes upgrades & management: Own and drive Kubernetes version upgrades, node pool scaling, and security patches
- Observability & monitoring: Implement and refine observability tools (Datadog, Prometheus, Splunk, Victoria Metric etc.) for proactive monitoring and alerting
- Infrastructure as Code (IaC): Manage infrastructure using Terraform, Terragrunt, Helm, and Kubernetes manifests
- CI/CD & release automation: Build, maintain, and improve CI/CD pipelines using GitHub Actions, ArgoCD, and related tooling to streamline application delivery and platform updates
- Cross-functional collaboration: Work closely with developers, SREs, and other teams to improve platform stability
- Performance tuning: Analyze and optimize cloud and containerized workloads for cost efficiency and high availability
- Security & compliance: Ensure platform security best practices, incident response, and compliance adherence
✅ Required Qualifications
- Strong expertise in Kubernetes (EKS, GKE, AKS) and container orchestration
- Experience with AWS, GCP, or Azure, particularly in managing large-scale cloud infrastructure
- Proficiency in Terraform, Helm, and Infrastructure as Code (IaC)
- Strong understanding of Linux systems, networking, and security best practices
- Experience with monitoring & logging tools (Datadog, Splunk, Prometheus, Grafana, Victoria Metrics, etc.)
- Hands-on experience with automation & scripting (Python, Go, Bash)
- Experience in incident management & debugging complex distributed systems
- Familiarity with CI/CD pipelines and release automation
🛠️ Required Skills
- Kubernetes
- EKS
- GKE
- AKS
- AWS
- GCP
- Azure
- Terraform
- Helm
- Infrastructure as Code (IaC)
- Linux
- Networking
- Security
- Datadog
- Splunk
- Prometheus
- Grafana
- Victoria Metrics
- Python
- Go
- Bash
- Incident management
- Debugging
- CI/CD
- GitHub Actions
- ArgoCD
- Terragrunt
- Kubernetes manifests
🎁 Benefits & Perks
- Opportunity to learn and develop career
- Encouragement to be courageous and experiment
- Continuous trust and support in an inclusive environment
- Growth-minded culture with openness to feedback and learning
- Opportunity to collaborate and drive exceptional outcomes for customers
Locations
- BANGALORE, IN, India (Remote)
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Kubernetesintermediate
- EKSintermediate
- GKEintermediate
- AKSintermediate
- AWSintermediate
- GCPintermediate
- Azureintermediate
- Terraformintermediate
- Helmintermediate
- Infrastructure as Code (IaC)intermediate
- Linuxintermediate
- Networkingintermediate
- Securityintermediate
- Datadogintermediate
- Splunkintermediate
- Prometheusintermediate
- Grafanaintermediate
- Victoria Metricsintermediate
- Pythonintermediate
- Gointermediate
- Bashintermediate
- Incident managementintermediate
- Debuggingintermediate
- CI/CDintermediate
- GitHub Actionsintermediate
- ArgoCDintermediate
- Terragruntintermediate
- Kubernetes manifestsintermediate
Required Qualifications
- Strong expertise in Kubernetes (EKS, GKE, AKS) and container orchestration (experience)
- Experience with AWS, GCP, or Azure, particularly in managing large-scale cloud infrastructure (experience)
- Proficiency in Terraform, Helm, and Infrastructure as Code (IaC) (experience)
- Strong understanding of Linux systems, networking, and security best practices (experience)
- Experience with monitoring & logging tools (Datadog, Splunk, Prometheus, Grafana, Victoria Metrics, etc.) (experience)
- Hands-on experience with automation & scripting (Python, Go, Bash) (experience)
- Experience in incident management & debugging complex distributed systems (experience)
- Familiarity with CI/CD pipelines and release automation (experience)
Responsibilities
- Ensure platform reliability and performance: Monitor, troubleshoot, and optimize production systems running on Kubernetes (EKS, GKE, AKS)
- Automate operations: Develop and maintain automation for infrastructure provisioning, scaling, and incident response
- Incident response & on-call support: Participate in on-call rotations to quickly detect, mitigate, and resolve production incidents
- Kubernetes upgrades & management: Own and drive Kubernetes version upgrades, node pool scaling, and security patches
- Observability & monitoring: Implement and refine observability tools (Datadog, Prometheus, Splunk, Victoria Metric etc.) for proactive monitoring and alerting
- Infrastructure as Code (IaC): Manage infrastructure using Terraform, Terragrunt, Helm, and Kubernetes manifests
- CI/CD & release automation: Build, maintain, and improve CI/CD pipelines using GitHub Actions, ArgoCD, and related tooling to streamline application delivery and platform updates
- Cross-functional collaboration: Work closely with developers, SREs, and other teams to improve platform stability
- Performance tuning: Analyze and optimize cloud and containerized workloads for cost efficiency and high availability
- Security & compliance: Ensure platform security best practices, incident response, and compliance adherence
Benefits
- general: Opportunity to learn and develop career
- general: Encouragement to be courageous and experiment
- general: Continuous trust and support in an inclusive environment
- general: Growth-minded culture with openness to feedback and learning
- general: Opportunity to collaborate and drive exceptional outcomes for customers
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Answer 10 quick questions to check your fit for Production Engineer @ IBM.
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Production Engineer
IBM
Production Engineer
Job Description
Production Engineer
📋 Job Overview
The Production Engineer at IBM will be responsible for scaling, automating, and optimizing multi-cloud platform infrastructure across AWS, GCP, and Azure. The role involves designing, implementing, and operating highly available systems using Kubernetes to support mission-critical applications, ensuring reliability, automation, and operational excellence.
📍 Location: BANGALORE, IN (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- Ensure platform reliability and performance: Monitor, troubleshoot, and optimize production systems running on Kubernetes (EKS, GKE, AKS)
- Automate operations: Develop and maintain automation for infrastructure provisioning, scaling, and incident response
- Incident response & on-call support: Participate in on-call rotations to quickly detect, mitigate, and resolve production incidents
- Kubernetes upgrades & management: Own and drive Kubernetes version upgrades, node pool scaling, and security patches
- Observability & monitoring: Implement and refine observability tools (Datadog, Prometheus, Splunk, Victoria Metric etc.) for proactive monitoring and alerting
- Infrastructure as Code (IaC): Manage infrastructure using Terraform, Terragrunt, Helm, and Kubernetes manifests
- CI/CD & release automation: Build, maintain, and improve CI/CD pipelines using GitHub Actions, ArgoCD, and related tooling to streamline application delivery and platform updates
- Cross-functional collaboration: Work closely with developers, SREs, and other teams to improve platform stability
- Performance tuning: Analyze and optimize cloud and containerized workloads for cost efficiency and high availability
- Security & compliance: Ensure platform security best practices, incident response, and compliance adherence
✅ Required Qualifications
- Strong expertise in Kubernetes (EKS, GKE, AKS) and container orchestration
- Experience with AWS, GCP, or Azure, particularly in managing large-scale cloud infrastructure
- Proficiency in Terraform, Helm, and Infrastructure as Code (IaC)
- Strong understanding of Linux systems, networking, and security best practices
- Experience with monitoring & logging tools (Datadog, Splunk, Prometheus, Grafana, Victoria Metrics, etc.)
- Hands-on experience with automation & scripting (Python, Go, Bash)
- Experience in incident management & debugging complex distributed systems
- Familiarity with CI/CD pipelines and release automation
🛠️ Required Skills
- Kubernetes
- EKS
- GKE
- AKS
- AWS
- GCP
- Azure
- Terraform
- Helm
- Infrastructure as Code (IaC)
- Linux
- Networking
- Security
- Datadog
- Splunk
- Prometheus
- Grafana
- Victoria Metrics
- Python
- Go
- Bash
- Incident management
- Debugging
- CI/CD
- GitHub Actions
- ArgoCD
- Terragrunt
- Kubernetes manifests
🎁 Benefits & Perks
- Opportunity to learn and develop career
- Encouragement to be courageous and experiment
- Continuous trust and support in an inclusive environment
- Growth-minded culture with openness to feedback and learning
- Opportunity to collaborate and drive exceptional outcomes for customers
Locations
- BANGALORE, IN, India (Remote)
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Kubernetesintermediate
- EKSintermediate
- GKEintermediate
- AKSintermediate
- AWSintermediate
- GCPintermediate
- Azureintermediate
- Terraformintermediate
- Helmintermediate
- Infrastructure as Code (IaC)intermediate
- Linuxintermediate
- Networkingintermediate
- Securityintermediate
- Datadogintermediate
- Splunkintermediate
- Prometheusintermediate
- Grafanaintermediate
- Victoria Metricsintermediate
- Pythonintermediate
- Gointermediate
- Bashintermediate
- Incident managementintermediate
- Debuggingintermediate
- CI/CDintermediate
- GitHub Actionsintermediate
- ArgoCDintermediate
- Terragruntintermediate
- Kubernetes manifestsintermediate
Required Qualifications
- Strong expertise in Kubernetes (EKS, GKE, AKS) and container orchestration (experience)
- Experience with AWS, GCP, or Azure, particularly in managing large-scale cloud infrastructure (experience)
- Proficiency in Terraform, Helm, and Infrastructure as Code (IaC) (experience)
- Strong understanding of Linux systems, networking, and security best practices (experience)
- Experience with monitoring & logging tools (Datadog, Splunk, Prometheus, Grafana, Victoria Metrics, etc.) (experience)
- Hands-on experience with automation & scripting (Python, Go, Bash) (experience)
- Experience in incident management & debugging complex distributed systems (experience)
- Familiarity with CI/CD pipelines and release automation (experience)
Responsibilities
- Ensure platform reliability and performance: Monitor, troubleshoot, and optimize production systems running on Kubernetes (EKS, GKE, AKS)
- Automate operations: Develop and maintain automation for infrastructure provisioning, scaling, and incident response
- Incident response & on-call support: Participate in on-call rotations to quickly detect, mitigate, and resolve production incidents
- Kubernetes upgrades & management: Own and drive Kubernetes version upgrades, node pool scaling, and security patches
- Observability & monitoring: Implement and refine observability tools (Datadog, Prometheus, Splunk, Victoria Metric etc.) for proactive monitoring and alerting
- Infrastructure as Code (IaC): Manage infrastructure using Terraform, Terragrunt, Helm, and Kubernetes manifests
- CI/CD & release automation: Build, maintain, and improve CI/CD pipelines using GitHub Actions, ArgoCD, and related tooling to streamline application delivery and platform updates
- Cross-functional collaboration: Work closely with developers, SREs, and other teams to improve platform stability
- Performance tuning: Analyze and optimize cloud and containerized workloads for cost efficiency and high availability
- Security & compliance: Ensure platform security best practices, incident response, and compliance adherence
Benefits
- general: Opportunity to learn and develop career
- general: Encouragement to be courageous and experiment
- general: Continuous trust and support in an inclusive environment
- general: Growth-minded culture with openness to feedback and learning
- general: Opportunity to collaborate and drive exceptional outcomes for customers
Tags & Categories
Answer 10 quick questions to check your fit for Production Engineer @ IBM.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs