We are seeking a highly skilled Technology Engineer with strong expertise in DevOps, CI/CD, and Big Data platforms. The ideal candidate will be responsible for building scalable infrastructure, automating deployment pipelines, and designing robust data solutions. This role requires hands-on experience in modern DevOps practices, distributed systems, and collaboration across cross-functional teams.
Requirements
Key ResponsibilitiesDevOps & CI/CD-
Design, implement, and manage CI/CD pipelines using tools such as Jenkins, GitOps, and similar technologies
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Automate software delivery processes to improve efficiency and reduce deployment risks
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Ensure smooth integration and continuous deployment across environments
Containerization & Orchestration-
Deploy, manage, and scale containerized applications using Kubernetes and OpenShift
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Ensure high availability, fault tolerance, and performance of containerized workloads
Infrastructure Management-
Develop and maintain Infrastructure as Code (IaC) using Terraform, Ansible, or similar tools
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Manage cloud/on-prem infrastructure with a focus on scalability and reliability
Big Data & Distributed Systems-
Architect and implement Big Data solutions using Hadoop, Spark, Kafka, or related technologies
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Design and manage distributed data systems for high-performance data processing and storage
Monitoring & Optimization-
Implement monitoring, logging, and alerting systems
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Continuously optimize system performance, scalability, and reliability
Collaboration-
Work closely with development, operations, and data teams to deliver end-to-end solutions
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Participate in design discussions and provide technical insights
Security & Compliance-
Ensure infrastructure and applications follow security best practices
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Maintain compliance with organizational and regulatory standards
Required Skills & Qualifications-
Strong experience in DevOps and CI/CD tools (Jenkins, GitOps, etc.)
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Hands-on experience with Kubernetes and container orchestration
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Proficiency in Terraform, Ansible, or other IaC tools
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Experience with Big Data technologies (Hadoop, Spark, Kafka)
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Understanding of distributed systems and microservices architecture
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Experience with monitoring tools like Prometheus, Grafana, ELK stack (preferred)
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Strong problem-solving and analytical skills
Preferred Qualifications-
Experience in banking or financial services domain
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Knowledge of cloud platforms (AWS, Azure, GCP)
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Familiarity with security frameworks and compliance standards
Soft Skills-
Strong communication and collaboration abilities
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Ability to work in a fast-paced, agile environment
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Ownership mindset and proactive problem-solving approach
