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IN_Senior Associate_Java Developer_GCC_Advisory_Bangalore
This role is for a Lead Full Stack Engineer to design and deliver scalable cloud applications using Java, Spring Boot, and React.js. The position involves modernizing legacy systems, mentoring engineering teams, and managing deployments via Docker and Kubernetes.
Senior Data Engineer (m/w/d)
Designs and builds high-performance on-premises/edge data platforms with Kubernetes, streaming pipelines, and modern open-source tools like Iceberg/Spark, while automating deployments and collaborating cross-functionally to integrate new technologies.
Engineer - Data Engineering
The Data Engineer will design and develop scalable data pipelines and processing applications on Google Cloud Platform to support Sysco's global foodservice operations. The role involves working in an Agile environment to maintain data solutions using Python, SQL, and various ETL/ELT tools.
Системный аналитик
The System Analyst will design and document an AI-driven autonomous pricing system for banking products, managing requirements and mentoring junior team members. The role involves working with BigData, REST, Kafka, and various modeling notations in a hybrid environment.
Senior Data Engineer
Builds and maintains scalable data pipelines for an edtech platform, focusing on real-time analytics, data ingestion, batch processing, and integration with educational tools. Core tech: SQL, Spark, Kafka, cloud platforms (AWS/Azure/GCP), and BI tools.
Software Engineer III - Java
As a Software Engineer III, you will design and deliver scalable technology solutions for consumer banking using Java, AWS, and microservices. The role involves leveraging AI-assisted development tools to improve code quality and productivity while maintaining secure, high-quality production systems.
Lead Software Engineer - Privilege Access Management
Lead Software Engineer designing, developing, and securing Privilege Access Management solutions for JPMorgan Chase, leveraging cloud platforms, AI-assisted tools, and DevOps practices to enhance security and operational stability in financial systems.
Sr Lead Software Engineer - F&O Execution Data Team
Designs and maintains real-time data pipelines and streaming solutions for JPMorgan Chase’s execution platform, using Java, Kafka, and AWS to process market and trading data at scale while ensuring compliance and performance.
Sr Lead Software Engineer - Java/Python, Data Engineering
Leads data engineering for JPMorgan Chase’s KYC and risk assessment platforms, designing secure, scalable AI-driven systems (LLMs, agentic workflows) and mentoring teams on cloud-native, big-data architectures.
Lead Software Engineer - Java/Python, Data Engineering
Lead a team building secure, scalable data platforms for risk assessment at a global bank, using Java/Python, cloud-native tools, and big data tech.
Middle DevOps Engineer
The Middle DevOps Engineer will build and maintain high-load, fault-tolerant infrastructure for an international travel product. The role focuses on either database management or CI/CD and Kubernetes, utilizing tools like Terraform, Ansible, Docker, and various monitoring systems.
Senior Java Entwickler:in
Senior Java developer building and modernizing document and process management systems for public-sector clients using Java 17+, Spring, and Kubernetes.
SDET (Software Development Engineer in Test)
Builds and maintains scalable automated test frameworks for front-end/back-end apps, ensuring quality via unit/integration tests, CI/CD integration, and cloud-based validation (AWS, Kafka, etc.).
Software Engineer II
Builds and maintains scalable data infrastructure for Uber’s global systems, focusing on distributed storage, messaging, and high-performance data pipelines to support real-time communication and business decisions at massive scale.
Software Engineer
Builds accessible front-end interfaces for a government system using Vue and JavaScript, ensuring WCAG/508 compliance via screen reader testing and automated tools.
AI Data Platform Engineer
Define and lead the architecture of an enterprise data platform (ingestion, storage, processing, governance, consumption) using lakehouse and warehouse technologies like Snowflake, Databricks, BigQuery, Spark, and Kafka for a U.S.-based tech consulting firm.