GSSTech Group
Tech / AI / Software
TechnologyEngineer-DevOps&DataPlatforms
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Technology Engineer - DevOps & Data Platforms at GSSTech Group. Skills: DevOps, containerization, big data technologies, Kubernetes, OpenShift, Terraform, Ansible, Hadoop, Spark, Kafka. Design, implement, and maintain robust CI/CD pipelines. Automate build, deployment, and release processes”
What You'll Achieve.
improve efficiency and reliability; Ensure high availability, scalability, and resilience of applications; Maintain version-controlled infrastructure for consistency and scalability; Optimize data storage and processing performance across systems; Continuously optimize system performance, reliability, and cost-efficiency
Industry & Context.
problem-solving and analytical skills
What They're Looking For.
Must Have
DevOps and CI/CD pipelines, Kubernetes and OpenShift, Terraform / Ansible (IaC tools), big data technologies (Hadoop, Spark, Kafka), distributed systems architecture, cloud platforms (AWS/Azure/GCP preferred)
Nice to Have
banking or financial services domain, GitOps practices, monitoring tools (Prometheus, Grafana, ELK, etc. )
What You'll Do.
and maintain robust CI/CD pipelines
and release processes
Deploy and manage containerized applications
Ensure high availability
and resilience of applications
Develop and manage infrastructure using Terraform
Maintain version-controlled infrastructure
Architect and implement data solutions
Handle large-scale data processing and streaming pipelines
Design and manage distributed data architectures
Optimize data storage and processing performance
and alerting solutions
Continuously optimize system performance
Ensure infrastructure and data platforms follow security best practices
Maintain compliance with enterprise and regulatory standards
How You'll Work.
Team & Collaboration
Work closely with engineering, DevOps, and data teams to deliver end-to-end solutions; Translate business and technical requirements into scalable implementations
Full Job Description
We are looking for a highly skilled **Technology Engineer** with strong expertise in **DevOps, containerization, and big data technologies** to support enterprise-scale digital and data platform initiatives. The ideal candidate will play a critical role in designing, implementing, and optimizing scalable infrastructure and data solutions. ### **Key Responsibilities** **DevOps & CI/CD** * Design, implement, and maintain robust CI/CD pipelines using tools such as **Jenkins, GitOps** * Automate build, deployment, and release processes to improve efficiency and reliability **Containerization & Orchestration** * Deploy and manage containerized applications using **Kubernetes and OpenShift** * Ensure high availability, scalability, and resilience of applications **Infrastructure as Code (IaC)** * Develop and manage infrastructure using **Terraform, Ansible** , or similar tools * Maintain version-controlled infrastructure for consistency and scalability **Big Data Engineering** * Architect and implement data solutions using **Hadoop, Spark, Kafka** * Handle large-scale data processing and streaming pipelines **Distributed Systems** * Design and manage distributed data architectures * Optimize data storage and processing performance across systems **Collaboration** * Work closely with engineering, DevOps, and data teams to deliver end-to-end solutions * Translate business and technical requirements into scalable implementations **Monitoring & Performance Optimization** * Implement monitoring, logging, and alerting solutions * Continuously optimize system performance, reliability, and cost-efficiency **Security & Compliance** * Ensure infrastructure and data platforms follow security best practices * Maintain compliance with enterprise and regulatory standards ### **Required Skills & Experience** * Strong experience in **DevOps and CI/CD pipelines** * Hands-on expertise with **Kubernetes and OpenShift** * Proficiency in **Terraform / Ansible (IaC tools)** * Experience with *
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