GCP DevOps Engineer
- Globallogic
- 5 - 10 years
- Pune
- 24 days ago
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Job Description
Description:Proven experience in managing and deploying applications across Google Cloud Platform
(GCP)
Hands-on experience with Infrastructure as Code tools such as Terraform and Terragrunt to
automate the provisioning, configuration, and management of cloud resources.
Strong knowledge of containerisation technologies like Docker for building, packaging, and
distributing applications.
Experience with Kubernetes container orchestration, including cluster configuration and scaling.
Proficiency in Helm charts for managing deployments and configurations is highly desirable.
Proficiency in scripting languages such as Python or Bash to automate repetitive tasks,
streamline workflows, and develop custom scripts.
Experience designing, implementing, and maintaining CI/CD pipelines using GitLab CI/CD or
similar tools.
Hands-on experience with monitoring and observability tools such as Datadog, Prometheus, and
Grafana to ensure system reliability, performance, and availability.
Requirements:
Design, implement, and maintain Infrastructure as Code using Terraform and Terragrunt to
ensure consistent, scalable, and repeatable cloud environments across GCP, Azure, and AWS.
Develop robust CI/CD pipelines using GitLab to automate application build, test, and deployment
processes, ensuring fast and reliable delivery of software updates.
Continuously optimise infrastructure for cost efficiency, scalability, and high availability by
analysing usage patterns, identifying bottlenecks, and implementing improvements.
Monitoring
Establish comprehensive monitoring, logging, and alerting solutions using Datadog to ensure
high system visibility, rapid issue resolution, and proactive performance management.
Create and maintain intuitive dashboards and data visualisations using Datadog to provide
real-time insights into platform health, resource utilisation, and key performance metrics.
Leverage Prometheus for collecting and querying time-series data, enabling detailed analysis of
system behavior and custom metric tracking for critical components.
Collaboration
Partner with product owners, engineers, and cross-functional teams to align DevOps strategies
with business objectives, ensuring seamless integration of workflows.
Provide guidance and mentorship to developers and teams on DevOps principles, cloud
architecture design, containerisation, and automation tools.
Lead troubleshooting efforts and root cause analysis for infrastructure or application-related
incidents, implementing documentation and preventative measures to avoid recurrence.
Job Responsibilities:
Infrastructure
Design, implement, and maintain Infrastructure as Code using Terraform and Terragrunt to
ensure consistent, scalable, and repeatable cloud environments across GCP, Azure, and AWS.
Develop robust CI/CD pipelines using GitLab to automate application build, test, and deployment
processes, ensuring fast and reliable delivery of software updates.
Continuously optimise infrastructure for cost efficiency, scalability, and high availability by
analysing usage patterns, identifying bottlenecks, and implementing improvements.
Monitoring
Establish comprehensive monitoring, logging, and alerting solutions using Datadog to ensure
high system visibility, rapid issue resolution, and proactive performance management.
Create and maintain intuitive dashboards and data visualisations using Datadog to provide
real-time insights into platform health, resource utilisation, and key performance metrics.
Leverage Prometheus for collecting and querying time-series data, enabling detailed analysis of
system behavior and custom metric tracking for critical components.
Collaboration
Partner with product owners, engineers, and cross-functional teams to align DevOps strategies
with business objectives, ensuring seamless integration of workflows.
Provide guidance and mentorship to developers and teams on DevOps principles, cloud
architecture design, containerisation, and automation tools.
Lead troubleshooting efforts and root cause analysis for infrastructure or application-related
incidents, implementing documentation and preventative measures to avoid recurrence.
What We Offer:
Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.
Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment or even abroad in one of our global centers or client facilities!
Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.
Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings.
Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.
Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: DevOpsRole: DevOps EngineerEmployement Type: Full timeContact Details:
Company: GloballogicLocation(s): Pune
Keyskills: container kubernetes continuous integration orchestration helm charts ci/cd helm docker cloud containerization gcp devops datadog prometheus scripting languages architecture cd python microsoft azure gitlab ci / cd gitlab ci grafana terraform gitlab bash aws ci cd pipeline
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