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Lead DevOps engineer
Leads the design and automation of CI/CD pipelines and Kubernetes-based infrastructure for cloud storage and backup services using Jenkins, Helm, and ArgoCD.
Java Backend Engineer
NerdySoft is hiring a Java backend engineer to help a fintech client build a new digital banking and payments platform from scratch — designing event-driven backend services, bank/payment integrations, and PCI DSS-compliant code. Core stack: Java 17+, Spring Boot, Kafka/RabbitMQ, PostgreSQL, AWS, with daily AI-assisted development.
Engineer Manager(React.js+Node.js)
We're looking for a Senior Technical Architect to own the technical direction of our platform across web and backend systems. This is a hands-on leadership role: you'll set architecture standards, guide a team of 10–20…
Red Hat Openshift Administrator
Any Project specific Prerequisite skills Red Hat OpenShift Administrator with IBM MAS Detailed JD Job Title Red Hat OpenShift Administrator with IBM MAS Expertise Experience 8 -12 Years Travel As per project needs Role…
Senior AI Automation Engineer
Overview Design, develop, and maintain the enterprise AI Automation platform supporting 150+ automation workflows across Infrastructure Operations while maintaining 99% availability and SLA targets. Own automation and…
Associate Delivery Manager - Data Engineer
Job Summary We are seeking a highly skilled Python & Cloud Platform Engineer to support, modernize, and migrate Python-based applications currently running on Linux servers with load balancers to containerized…
Senior Java-разработчик
Мы разрабатываем высоконагруженное ядро платформы для персонализированных предложений миллионам клиентов банка. В зоне ответственности команды — базы данных, комплекс микросервисов и потоковая обработка событий.…
Associate Security Engineer - 11925
Early-career (0–2 years) security engineer at Coupa helping secure the company's spend-management platform: supporting multi-cloud (AWS/GCP/Azure) security controls, policy-as-code in CI/CD, Kubernetes and container hardening, and vulnerability triage, plus scripting security automations in Python/Bash/JavaScript.
National Lead - AI Unit
Job Purpose We are looking for a leader who can build and run AI product Pods for Credit Risk, Fraud Risk Management, and collection & recovery. This role will power next-generation decisioning across lending…
SDET( Automation Tester )
Role & responsibilities - Immediate to max 30days Joiner - Exp more than 6+ Years only Job Title: SDET (Software Development Engineer in Test)Automation Experience: 6+ Years Location: Pune / Bangalore / Chennai /…
Engineering Manager (Java/Kotlin Stack)
Engineering Manager We are looking for an Engineering Manager to lead a team of backend engineers building the systems behind our financial products. You will own the team's delivery, technical direction and people…
Senior Software Engineer
Job Purpose Will be a technical expert who have good experience in DOT NET Core, REST API Development and Production Support Duties and Responsibilities 3.PRINCIPAL ACCOUNTABILITIES (Accountabilities associated with…
Software Engineer - Fullstack (Java and Angular)
Full-stack developer at NielsenIQ's Pune office building scalable applications with Java/Spring Boot backends and Angular frontends, working with PL/SQL and PostgreSQL databases, messaging systems, and CI/CD pipelines in Agile teams. Snowflake, Azure, Docker/Kubernetes, and Python exposure are pluses.
DevOps / SRE Production & RUN GCP-Azure
🔹 Vos missions ✅ Gérer et résoudre les incidents de production. ✅ Diagnostiquer les dysfonctionnements systèmes, applicatifs et infrastructures. ✅ Assurer le maintien en conditions opérationnelles des plateformes…
Sr Site Reliability Engineer
About Responsive Responsive (formerly RFPIO) is the global leader in strategic response management software, transforming how organizations share and exchange critical information. The AI-powered Responsive Platform is…
Senior Data Engineer
Senior Data Engineer at NIQ, a consumer intelligence company, in Chennai: designs, builds, and operates large-scale batch and streaming pipelines, lakehouse platform components, and helps productionize ML/LLM workloads. Core stack: Python, Scala, Spark/Databricks, Kafka, Airflow, a major cloud (AWS/Azure/GCP), SQL, and Kubernetes.