Key Responsibilities: OpenShift Platform Engineering: Deploy, manage, and maintain applications on OpenShift Container Platform. Configure and manage Operators, Helm charts, and OpenShift GitOps (Argo CD). Manage Red Hat Data Grid deployments and integrations. Support OCP cluster upgrades, patching, and troubleshooting. CI/CD Implementation & Automation: Design, implement, and manage CI/CD pipelines using Jenkins and Argo CD. Ensure seamless code integration, testing, and deployment processes with development teams. Infrastructure as Code (IaC): Automate infrastructure provisioning with tools like Terraform and Ansible. Manage hybrid infrastructure across on-prem and public clouds (AWS, Azure, or GCP). Monitoring & Performance Optimization: Implement and manage observability stacks (Prometheus, Grafana, ELK, etc.) for OCP and underlying services. Proactively identify and resolve system performance bottlenecks. Security & Compliance: Enforce security best practices in containerized and cloud environments. Conduct vulnerability assessments and ensure compliance with industry standards. Collaboration & Support: Collaborate with developers, QA, and IT teams to optimize DevOps workflows. Provide ongoing support and incident response for production and non-production environments. Required Skills & Qualifications: Technical Skills: Strong hands-on experience with OpenShift (v4.x) administration and operations. Proficiency in CI/CD tools: Jenkins, Argo CD, GitHub Actions, GitLab CI/CD. Deep understanding of Kubernetes, Docker, and container orchestration. Experience with Red Hat Data Grid or other in-memory data grids. Skilled in IaC tools: Terraform, Ansible, CloudFormation. Familiarity with monitoring and logging tools (Prometheus, Grafana, ELK, Splunk). Proficient in scripting languages: Bash, Python, or Shell. Soft Skills: Excellent problem-solving and analytical skills. Strong communication and collaboration abilities across cross-functional teams. Candidates should be able to work independently. Candidate should be able to provide solution based on customer requirements and work with customers DevOps team during the project implementation.

About Us: TechBulls was founded in 2011 with an aim to help customers develop products using cutting edge technologies. Were a growing team of global experts that believe in the transformative power of evaluation and learning. We help bring our clients product vision to action. We do Software development and UX Design for Startups determined to lead in the digital.Our teams are working on some of the industry's most significant futuristic financial solutions, which are reshaping financial services and people's everyday lives throughout the world. Role Overview: As a Backend Engineer at you will be instrumental in designing and implementing robust, scalable, and secure backend systems that power our AI-driven applications. Key Responsibilities: Build & Own Core Services: Design, develop, and own robust, scalable backend microservices and RESTful APIs that form the backbone of our AI- powered platform. Ensure low-latency performance for high-throughput requests and efficient handling of large ML data payloads, primarily using Python/FastAPI, Node.js/TypeScript, or Go. Architect for Scale: Lead the architectural design and evolution of distributed backend systems. Create solutions that are inherently scalable, fault-tolerant, and maintainable, specifically optimized for demanding AI/ML ads. Optimize AI Infrastructure: Strategically select, implement, and manage AWS services (including specialized compute for ML, optimized storage solutions, databases, messaging queues like Kafka/SQS, caching) to create a cost-effective, high-performance foundation for our backend and AI pipelines. What We Look For: 3+ years Experience . Strong proficiency in backend programming, particularly Python and Node.js (experience with Go is also valuable). Demonstrable experience building systems that handle large datasets, real-time processing, or high throughput. Experience with message queuing systems (e.g., Kafka, RabbitMQ, SQS). Deep understanding of database technologies and query optimization. Hands-on experience with cloud platforms (AWS preferred) and their core services. Hands-on experience with containerization (Docker) and deploying/managing services in containerized environments (Kubernetes familiarity is a plus). Solid grasp of software engineering principles, data structures, algorithms, and distributed systems concepts.

7+ years total experience, 5+ years in automation. Full-stack testing capabilities (functional, non-functional, security) Experience with complex cloud-hosted systems Strong individual contributor for all testing layers (API, UI, ITB)