ai - DevOps Engineer - CI/CD Pipeline

What are we looking for?

We're seeking an experienced DevOps Engineer to join our engineering team and help design, build, and scale secure, high-performance infrastructure for our Cognitive Automation product. This role is not just about managing pipelines and cloud platforms-it's about architecting resilient systems, driving automation, and enabling seamless deployments across global financial firms. We're looking for self-driven, energetic professionals eager to innovate in a fast-paced, domain-tech environment.

Responsibilities :

- Design, build, and maintain scalable CI/CD pipelines using tools like Jenkins, GitLab CI, or GitHub Actions.

- Manage and optimize cloud infrastructure on AWS and Azure.

- Automate infrastructure provisioning using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation.

- Implement and manage containerization with Docker and orchestration with Kubernetes.

- Monitor system performance, reliability, and security using tools like Prometheus, Grafana, ELK, or similar.

- Collaborate with development, QA, and product teams to streamline development-to-deployment workflows.

- Perform root cause analysis for production errors and implement fixes and improvements.

- Design and implement cost-effective infrastructure solutions that optimize performance, scalability, and resource utilization across cloud and hybrid environments.

- Ensure High Availability (HA) and fault tolerance in all infrastructure components to meet business continuity and uptime requirements.

- Build and manage secure infrastructure in line with financial industry regulations (e.g., PCI-DSS, SOC 2, ISO 27001), applying security-by-design principles across the DevOps lifecycle.

- Proven experience in migrating infrastructure and workloads from On-Premise to Cloud and Cloud to On-Prem, with deep understanding of hybrid cloud architecture, network connectivity, and data transfer strategies.

- Hands-on familiarity with most major cloud services and features in AWS and Azure, including but not limited to compute, storage, networking, IAM, monitoring, autoscaling, disaster recovery, and cost management tools.

Requisites :

- Bachelor's degree in computer science, Engineering, or related field (or equivalent experience).

- 5+ years of experience in a DevOps or Site Reliability Engineering (SRE) role.

- Hands-on experience with AWS and Azure cloud platforms (compute, storage, networking, IAM).

- Strong knowledge of CI/CD tools (e.g., Jenkins, GitLab CI/CD, GitHub Actions, Azure DevOps).

- Experience with Docker, Kubernetes, and container orchestration.

- Proficiency in scripting languages such as Bash, Python, or PowerShell.

- Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack, CloudWatch).

- Solid understanding of networking concepts, load balancing, and DNS.

- Experience in managing hybrid or multi-cloud environments.

- Familiarity with SIEM tools, vaulting solutions (e.g., HashiCorp Vault), and network security.

- Knowledge of financial data security standards: PCI-DSS, GDPR, SOX, etc.

- Hands on experience in writing deployment pipeline files/script.

Good to have :

- Certifications like AWS Certified DevOps Engineer, Azure DevOps Engineer Expert, etc.

- Experience working in financial services, banking, or fintech environments.

- Familiarity with GitOps principles and tools like ArgoCD or Flux.

- Familiarity with AI/ML services and integrations offered by major cloud providers (e.g., AWS SageMaker, Azure ML, Vertex AI) and the ability to support infrastructure for data science and machine learning workflows.

- Experience with Google Cloud Platform (GCP) services such as Compute Engine, Cloud Functions, BigQuery, and GKE.

- Exposure to multi-cloud or cloud-agnostic architectures, ensuring portability and resilience across AWS, Azure, and GCP.

- Basic understanding of MLOps practices, pipelines, and model deployment lifecycle.