Top Tech Jobs & Startup Jobs in Pune

Develop and maintain scalable backend-to-UI applications using Java, Python, JavaScript, cloud technologies, microservices, CI/CD, and infrastructure as code. Perform testing, deployments, documentation, troubleshooting, performance optimization, and issue resolution. Participate in requirements analysis, estimation, architecture and roadmap discussions, agile planning, system integration, and sprint delivery. Collaborate across teams while focusing on security, scalability, operational excellence, and software quality.

Configure, operate, and monitor high-volume batch data delivery workflows on Google Cloud using Apache Airflow. Execute data pipelines, validate data quality, troubleshoot configuration and scheduling issues, maintain documentation, and support client fulfillment inquiries. Collaborate with Engineering and Data Operations, follow security and SDLC practices, and contribute to process automation and improvement. The role may provide production incident support and requires familiarity with cloud platforms, data processing, configuration files, APIs, scripting, and monitoring tools.

Configure, operate, and monitor high-volume batch data delivery workflows on Google Cloud. Deploy and manage Apache Airflow pipelines, perform data quality checks, troubleshoot configuration and scheduling issues, support client fulfillment inquiries, and maintain documentation. Collaborate with Engineering and Data Operations, follow security and SDLC procedures, and contribute to process automation and production incident support.

Leads and mentors cross-functional engineering teams while defining technical direction, architecture, software quality, security, reliability, and financial-performance practices. Designs, develops, and deploys cloud-native microservices and big-data solutions using Java, Spring Boot, GCP, Kubernetes, and related technologies. Oversees CI/CD, infrastructure as code, service-level objectives, documentation, sprint activities, technical presentations, prototyping, and architecture decisions.

Develop and operate scalable full-stack applications using Java, Angular, cloud platforms, microservices, serverless computing, CI/CD, and infrastructure as code. Responsibilities include application development, testing, deployment, documentation, performance troubleshooting, issue resolution, system integration, architecture discussions, and sprint delivery within an agile engineering team.

Develop and maintain scalable applications across backend and UI layers using modern software practices. Responsibilities include coding, unit testing, deployment, documentation, performance troubleshooting, issue resolution, architecture discussions, system integration, and sprint delivery. The role requires collaboration in an agile engineering team and experience with Java, Python, JavaScript, web development, build tools, testing practices, and cloud technologies.

Configure, deploy, operate, and monitor high-volume batch data delivery workflows on Google Cloud using Apache Airflow. Perform data quality validation, troubleshoot scheduling and dependency issues, maintain configuration documentation, support client fulfillment inquiries, and collaborate with Engineering and Data Operations. The role also contributes to process automation, platform improvements, production incident support, and secure SDLC-compliant deployments.

Configure, deploy, operate, and monitor high-volume batch data delivery workflows on Google Cloud using Apache Airflow. Perform data quality validation, troubleshoot configuration and scheduling issues, support production incidents, maintain documentation, and collaborate with Engineering and Data Operations to improve reliability, automation, and client data delivery.

Lead a team of software engineers to develop cloud-native solutions, manage project delivery, and collaborate with stakeholders in a full stack environment.

Design, develop, deploy, operate, and improve high-scale cloud-native applications using Java, Spring Boot, microservices, and modern DevOps practices. Integrate internal systems, troubleshoot production issues, contribute to architecture and technology roadmaps, manage project deliverables, and participate in Agile ceremonies. The role also involves developing scalable data solutions, collaborating across globally distributed teams, and supporting CI/CD, infrastructure-as-code, and Kubernetes-based deployments.