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Senior Fullstack Engineer
Build and modernize banking payment systems for millions of users using Java, Spring Boot, and cloud-native tools like Kubernetes and Kafka.
Senior Software Engineer
Build and secure cloud-native backend systems for managing non-human identities using event-driven architecture, microservices, and big data pipelines.
Java Full Stack Developer
Role: Java Full Stack Developer Client Location: McLean, VA Work Mode: 5 days onsite (No remote/hybrid exceptions) Must Have Skills: Java, Spring boot, Kafka, AWS , Angular & NOSQL/ SQL DB Required Skills: 8 years of…
Software Engineer II - Streaming
Builds and maintains real-time streaming infrastructure for vehicle telemetry and AI/ML platforms using Kafka/Redpanda and Flink in a cloud-native environment.
Technical Architect - Full Stack
Lead the full-stack architecture of an AI-native ERP platform for global manufacturers, setting standards across frontend, backend, microservices, and cloud infrastructure.
Back-end Developer Golang
Build and maintain Go-based RESTful APIs, services, and async workflows with PostgreSQL, MongoDB, and Kafka while integrating AI tools for development support.
AI & Machine Learning Engineer
Build and deploy AI/ML solutions for telecom and media clients, including generative models, recommendation systems, and real-time analytics using Python, PyTorch, and cloud platforms.
Principal Data Engineer – PySpark & Real-Time Pipelines
Designs and maintains real-time and batch data pipelines using PySpark, Kafka, Flink, and Azure Data Factory, while mentoring a data engineering team.
Principal Data Engineer (PySpark)
Principal Data Engineer builds and scales real-time and batch data pipelines using PySpark, Kafka, Flink, and cloud orchestration tools, while leading a team to deliver robust analytics infrastructure.
Data Engineer (Data Bricks)
Senior Data Engineer builds and maintains scalable ETL/ELT pipelines on Azure Data Factory and Databricks, optimizing for cost, speed, and data quality.
Senior Data Engineer – AWS
Design and build scalable AWS-based data pipelines and warehouses using Glue, EMR, Redshift, and Lambda to support analytics and BI teams.
Principal Data Engineer: Real-Time PySpark Leader
Lead design and implementation of real-time and batch data pipelines using PySpark, Kafka, and Azure, while optimizing lakehouse storage and mentoring engineers.
Data Engineer
Build and maintain scalable data pipelines for AI systems, including ETL/ELT, data quality checks, and warehouse/lake architectures using Python, SQL, and cloud tools.
Data Engineer
Design and build data infrastructure—ETL pipelines, data warehouses, and streaming systems—using Python, SQL, and tools like Airflow, Spark, and Snowflake.
Data Engineer
Build and maintain scalable data pipelines and infrastructure to power analytics and AI-driven decisions for a fast-growing delivery logistics platform.
Cloud Data Engineer: Warehousing & ETL Pipelines
Designs and maintains scalable data platforms and ETL/ELT pipelines for enterprise data warehouses using Spark, Kafka, and cloud services like BigQuery.
Data Engineer
Build and maintain scalable data pipelines and infrastructure to power analytics and AI-driven decisions for a fast-growing delivery optimization platform.
Senior AI Solution Architect
Designs and integrates AI/ML solutions into a data lakehouse using Spark, Kafka, and Jupyter Enterprise Gateway for batch and real-time inference.
Data Engineer - PostEx
Builds and maintains scalable data pipelines and ClickHouse analytics for a logistics and fintech platform, ensuring reliable data flow and high-performance queries.
Senior AI Solution Architect
Designs and architects AI/ML solutions integrating batch and real-time inference using Spark, Kafka, and Jupyter Enterprise Gateway within a data lakehouse.