DevOps Engineer - Cloud Infrastructure (4-5 yrs)

Position : Devops Engineer

Exp : 4+ Years

Location : Ahmedabad

Job Description :

We are looking for a seasoned DevOps Engineer with a strong background in solution architecture, ideally from the Banking or BFSI (Banking, Financial Services, and Insurance) domain. This role is crucial for implementing scalable, secure infrastructure and CI/CD practices tailored to the needs of high-compliance, high-availability environments. The ideal candidate will have deep expertise in Docker, Kubernetes, cloud platforms, and solution architecture, with knowledge of ML/AI and database management as a plus.

Key Responsibilities :

- Infrastructure & Solution Architecture : Design secure, compliant, and high- performance cloud infrastructures (AWS, Azure, or GCP) optimized for BFSI-specific applications.

- Containerization & Orchestration : Lead Docker and Kubernetes initiatives, deploying applications with a focus on security, compliance, and resilience.

- CI/CD Pipelines : Build and maintain CI/CD pipelines suited to BFSI workflows, incorporating automated testing, security checks, and rollback mechanisms.

- Cloud Infrastructure & Database Management : Manage cloud resources and automate provisioning using Terraform, ensuring security standards. Optimize relational and NoSQL databases for BFSI application needs.

- Monitoring & Incident Response : Implement monitoring and alerting (e.g., Prometheus, Grafana) for rapid incident response, ensuring uptime and reliability.

- Collaboration : Work closely with compliance, security, and development teams, aligning infrastructure with BFSI standards and regulations.

Qualifications :

Education : Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.

Experience : 5+ years of experience in DevOps with cloud infrastructure and solution architecture expertise, ideally in ML/AI environments.

Technical Skills :

- Cloud Platforms : Proficient in AWS, Azure, or GCP; certifications (e.g., AWS Solutions Architect, Azure Solutions Architect) are a plus.

- Containerization & Orchestration : Expertise with Docker and Kubernetes, including experience deploying and managing clusters at scale.

- CI/CD Pipelines : Hands-on experience with CI/CD tools like Jenkins, GitLab CI, or GitHub Actions, with automation and integration for ML/AI workflows preferred.

- Infrastructure as Code : Strong knowledge of Terraform and/or CloudFormation for infrastructure provisioning.

- Database Management : Proficiency in relational databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB, DynamoDB), with a focus on optimization and scalability.

- ML/AI Infrastructure : Experience supporting ML/AI pipelines, model serving, and data processing within cloud or hybrid environments.

- Monitoring and Logging : Proficient in monitoring tools like Prometheus and Grafana, and log management solutions like ELK Stack or Splunk.

- Scripting and Automation : Strong skills in Python, Bash, or PowerShell for scripting and automating