Globaldev Group

    DevOps Engineer

    Globaldev Group
    Posted 11/11/2025Senior Level
    Full-time
    Technology
    AWS
    Kubernetes
    Infrastructure As Code
    CI/CD
    Monitoring

    Job Description

    We are looking for an experienced Senior DevOps Engineer to join our growing fintech project. This role will play a key part in building secure, reliable, and automated cloud infrastructure while ensuring smooth deployment and monitoring of production systems.

    Responsibilities:

    • Design, implement, and maintain scalable, secure, and highly available infrastructure on AWS.
    • Manage production deployments with a focus on reliability, automation, and zero-downtime operations.
    • Deploy and operate Kubernetes (EKS or self-managed clusters).
    • Leverage AWS serverless components (Lambda, Step Functions, API Gateway) to optimize performance and costs.
    • Implement robust monitoring, logging, and alerting solutions for full observability and proactive incident response.
    • Ensure security best practices, including encryption, IAM management, secrets handling, and compliance with fintech-grade standards.
    • Build and maintain CI/CD pipelines supporting application and data workflows.
    • Collaborate closely with developers, data engineers, and business stakeholders to deliver production-grade solutions.

    Requirements:

    4+ years of hands-on experience as a DevOps / Cloud Infrastructure Engineer, ideally in fintech or other regulated industries.

    • Proven expertise with AWS services (EC2, S3, RDS, Redshift, IAM, CloudWatch, etc.).
    • Strong hands-on experience with Kubernetes (EKS or self-managed): design, deployment, scaling, and ongoing operations.
    • Solid background in managing high-availability, production environments.
    • Proficiency in Infrastructure as Code (Terraform, AWS CDK, or CloudFormation).
    • Experience with monitoring and observability tools (CloudWatch, Prometheus, Grafana, ELK, etc.).
    • Skilled in CI/CD pipeline design and maintenance (GitLab CI, Jenkins, GitHub Actions, or similar).
    • Strong scripting/programming skills (Python, Bash).

    Would be a plus:

    • Experience with ML-Ops frameworks (e.g., MLflow) and managing machine learning pipelines in production.
    • Hands-on experience with other cloud providers — Google Cloud, Oracle Cloud, or Microsoft Azure.

    What we offer:

    • Flexible work arrangements.

    20 working days per year as Non-Operational Allowance for personal recreation, fully compensated. 10 sick leaves.

    • Collaborative and supportive team culture.
    • Truly competitive salary.
    • Supportive HR and management team.

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