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As a DevOps / Platform Engineer, you will:

Assess existing production environments and deployment processes to support Blue-Green deployment implementation.
Conduct technical discussions with application teams to understand application hosting, deployment workflows, infrastructure, network routing, and system dependencies.
Review existing CI/CD pipelines, Kubernetes environments, virtual machines, load balancers, ingress controllers, and gateway configurations.
Document application architecture, integrations, interfaces, and dependencies between applications and shared databases.
Identify opportunities to split traffic between existing and new application versions while ensuring minimal disruption to production services.
Build and configure Green environments using Infrastructure as Code (IaC) tools such as Terraform.
Configure traffic routing for test users through load balancers, ingress controllers, Route 53, and gateway rules.
Enhance CI/CD pipelines to support automated deployments, validation, rollback, and release management.
Implement monitoring, logging, and alerting to validate application health and deployment success.
Support database release activities, including migrations, backward-compatible schema changes, and rollback procedures.
Work closely with the Lead Architect and application teams to implement the designed solution and ensure production readiness.

What You Bring to the Table:

6+ years of overall experience in DevOps, Platform Engineering, or related infrastructure and deployment engineering roles.
Hands-on experience with Kubernetes platforms such as Amazon EKS or equivalent.
Practical experience with Helm, ArgoCD, Argo Rollouts, or similar deployment management tools.
Strong knowledge of AWS networking, including load balancers, Route 53, ingress controllers, and traffic routing.
Experience with at least two CI/CD tools: GitHub Actions, Jenkins, GitLab CI, or Azure DevOps.
Experience implementing Infrastructure as Code using Terraform or equivalent tools.
Understanding of Blue-Green deployment strategies, production validation, release management, and rollback mechanisms.
Basic database deployment knowledge, including schema migrations and backward-compatible changes.
Scripting experience using Python or Bash.
Familiarity with monitoring and logging tools such as AWS CloudWatch, ELK Stack, or Grafana.

You Should Possess the Ability to:

Analyze existing application environments, deployment pipelines, and infrastructure configurations.
Identify application dependencies, database connections, integration points, and potential deployment risks.
Assess the feasibility of Blue-Green deployments across applications and infrastructure components.
Design and implement traffic-splitting strategies for controlled testing of new application versions.
Automate infrastructure provisioning, deployment workflows, validation, and rollback procedures.
Troubleshoot Kubernetes, networking, pipeline, and application deployment issues in production environments.
Collaborate effectively with architects, developers, infrastructure teams, and application owners.
Maintain clear technical documentation, assessment findings, implementation plans, and follow-up actions.
Ensure deployments are reliable, observable, secure, and minimally disruptive to production services.

What We Bring to the Table:

An opportunity to work on a large-scale enterprise platform engineering initiative.
Hands-on exposure to Blue-Green deployment assessment, implementation, and production validation.
The opportunity to build automated deployment environments and modernize CI/CD workflows.
Collaboration with experienced architects and cross-functional technical teams.
Exposure to cloud infrastructure, Kubernetes, infrastructure automation, and advanced deployment strategies.
An opportunity to contribute to scalable, resilient, and reliable production systems.

Let’s Connect

Want to discuss this opportunity in more detail? Feel free to reach out.
Recruiter: Hema Murali
Phone: +31 20 369 0609 ; Extn :148
Email:
LinkedIn:

Devops / platform engineer

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