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Lead and automate cloud operations for AWS environments, mentoring teams on CI/CD, security, and cost optimization while managing production support and monitoring tools.
Build cloud-native backend services for a globally distributed messaging platform, focusing on secure, scalable microservices that power real-time customer communications and AI-powered experiences.
If you are looking for a meaningful career where people work and act with passion, rethink the existing and always strive to find the best solution - you have come to the right place. We develop future technologies to…
Build and maintain AWS cloud infrastructure and data pipelines for a large fintech firm, automating deployments with Terraform and CI/CD tools while ensuring security and scalability.
Build and maintain scalable data pipelines, ETL/ELT solutions, and data warehouses using PySpark, AWS, and modern data platforms to process and analyze large-scale financial data securely.
Build and maintain scalable data pipelines and infrastructure using PostgreSQL, Python, AWS, and ETL tools to support analytics and reporting for client projects.
Build and modernize full-stack applications using Python, AWS services, and ETL pipelines while leading a small team in an agile environment.
Build and maintain Java/Spring microservices on AWS for Webfleet’s fleet-management platform, handling data pipelines with Kafka and optimizing cloud infrastructure.
Build and maintain enterprise digital platforms using Adobe Experience Manager (AEM) and AWS, automating deployments and tests to deliver secure, scalable web solutions for a global asset manager.
Designs, develops, and maintains Adobe Experience Manager (AEM) and AWS-based enterprise digital platforms, focusing on automation, CI/CD, and test frameworks to improve scalability and reliability for internal business units.
Responsibilities: Design and govern application architectures in collaboration with Solution Architects, development teams, and business stakeholders. Translate business and technical requirements into scalable,…
Build and integrate AI features (LLMs, agents, RAG) into existing products to automate data extraction, QA/QC, and infrastructure asset recognition for civil/transportation use cases.
Build and maintain a modern cloud data platform using Snowflake, Fivetran, dbt, and Airflow to enable analytics and AI-driven insights for a mortgage insurer.
Builds and maintains large-scale data pipelines on Palantir Foundry/AIP, designing scalable solutions for enterprise datasets, and enabling AI/ML use cases using Python, PySpark, TypeScript, and AWS services like S3/Redshift.
Do you want to be in the forefront of engineering big data analytical solutions that takes Amazon's Finance Operations Accounting and Analysis (FOAA) Ordering-Operations models to the next generation? Do you have a…
Build and maintain AWS serverless backend services and cloud-native systems that power large-scale live events like the Olympics, using Node.js, TypeScript, and AWS CDK.
Builds scalable distributed systems and microservices for NVIDIA’s AI infrastructure, enabling autonomous-vehicle deep learning at petabyte scale.
Lead the architecture and development of cloud-native, event-driven supply-chain platforms using Python, FastAPI, Kafka, and AWS, while mentoring teams and integrating AI tools.
Build and maintain ETL pipelines using Python, PySpark, and AWS Glue, orchestrating workflows with Step Functions and Lambda while optimizing Redshift and S3 storage solutions.
Build and maintain AWS-based ETL pipelines using Python, PySpark, and AWS Glue/Lambda/Step Functions to move and transform data in S3, Redshift, and RDS.
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