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Backend developer bridging backend and data engineering on a greenfield content platform for a media client, using Java 21, Python, Go, and AWS services to build data pipelines and APIs.
Build and scale data infrastructure for traffic and road IT analytics, developing ETL/ELT pipelines, SQL, and Python code on AWS cloud while ensuring data quality and operational excellence across agile squads.
Design, develop, and optimize scalable ETL/ELT data pipelines using Python, PySpark, and SQL for a Singapore-based consulting firm serving banking clients.
Leads Oracle ERP modernization programs using AI-driven multi-agent solutions, bridging technical and business teams to integrate AI into complex enterprise systems for faster, safer transformations.
Senior Data Engineer designing and building scalable data pipelines and transformation workflows using Databricks or Snowflake with dbt, following ELT and medallion architecture patterns for enterprise data platforms.
Designs and scales AI-driven backend systems for real-time social media analytics, focusing on agentic workflows, LLM pipelines, and cloud infrastructure to deliver actionable insights.
Embeds with federal/national-security customers to build and deploy AI-enabled applications, workflow automation, and integrations in secure environments, solving mission-critical problems through hands-on engineering and cross-functional collaboration.
A senior engineer builds and deploys AI agents and workflow automation for enterprise customers, splitting time between core platform development and hands-on customer delivery in regulated industries like healthcare and national security.
Build and deploy AI agents and workflow automation for enterprise customers, splitting time between core platform development and hands-on customer delivery in regulated industries like healthcare and energy.
Build and secure AI-enabled applications using LLMs, RAG pipelines, and vector search; deploy in FedRAMP environments and ensure compliance with accessibility and adversarial testing standards.
Designs and operates AI-scale compute clusters, automating provisioning, security, and lifecycle management across clouds and datacenters to support model training and production services.
The Data Pipeline & Analytics Engineer will design, build, and optimize scalable ETL/ELT pipelines and analytics-ready data models. The role involves using tools like Airflow, dbt, and Spark to ensure data quality and enable data-driven decision-making through dashboards.
Design and build cloud-native solutions in Azure/AWS, lead technical delivery for client projects, and mentor teams using TypeScript, Python, and AI frameworks like LangGraph.
Build and deploy full-stack cloud solutions in Azure/AWS using Python, TypeScript, FastAPI, and Next.js, while helping financial institutions adopt AI solutions.
Senior AI Engineer builds and deploys generative AI systems using LLMs, RAG, agents, and vector search, working remotely in LATAM or the US.
Builds and scales high-performance data pipelines and production-ready systems using Python, SQL, Databricks/PySpark, and modern data engineering practices.
Lead the design and delivery of real-time data pipelines and backend microservices for InMobi’s DSP, processing billions of bid-stream events daily to power bidding intelligence, audience targeting, and campaign analytics using Python/Java/Scala, Kafka/Flink, StarRocks, and Kubernetes.
Senior Backend Engineer building durable workflows and microservices for SuperNova, a mobile-first super app for brand ambassadors, using an AI-native monorepo, Google Cloud, Encore, Docker Compose, and hermetic build systems.
This Senior Software Engineer role focuses on building and maintaining scalable data pipelines, offline experimentation tooling, and route simulation services for Lyft's mapping team. The position involves working with technologies like AWS, Databricks, Kubernetes, and Airflow to improve routing accuracy and travel time estimations.
Develops Python-based systems for quantitative investment strategies and index calculations, collaborating with quant researchers to build, optimize, and maintain production-grade code for index construction, rebalancing, and strategy implementation.
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