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 processes.
