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Fullstack Engineer working with Python and AWS to design, develop, and deploy cloud-based systems. Responsibilities include collaborating with teams to evaluate cloud solutions, modifying/improving existing systems, and maintaining cloud solutions according to best practices.
Builds configurable web applications by developing both frontend (VueJS) and backend (Laravel/PHP) components, ensuring global scalability and cross-team collaboration.
Designs and implements modern data architectures including medallion/lakehouse patterns, builds event-driven data pipelines processing billions of documents, and creates analytics infrastructure for AI/ML initiatives on AWS.
Salary: Competitive Salary with potential for LTI / ESOP We are excited to bring to market a newly created role with a financial services client that is in scale-up mode after launching a new and innovative lending…
Build and maintain full-stack fintech applications using C#, .NET Core, Angular, and SQL, deploying on AWS and integrating AI/ML models.
Builds and maintains travel booking platforms for luxury experiences, focusing on APIs, React/Node.js apps, and PostgreSQL-backed microservices while mentoring junior engineers and ensuring system reliability.
Design and develop full-stack features for a hospitality ERP platform, working end-to-end from Angular frontend to PHP/Laravel backend with relational databases and AWS infrastructure.
Job Title: Senior Software Developer-Backend Job ID: 2023-12220 Job Location: Morris Plains, NJ – Remote to start Job Travel Location(s): 0% # Positions: 2 Employment Type: W2 Candidate Constraints: Duration:Long Term…
Remote AWS Cloud Architect designing, implementing, and optimizing AWS infrastructures (EC2, RDS, S3, Lambda, VPC, CloudFormation) for SMB cloud migrations, with cost optimization and Zoho integration.
The Data Engineer will design, build, and maintain scalable data pipelines and infrastructure for Singapore government agencies. The role involves data extraction, transformation, and integration using cloud-based tools and big data frameworks.
Build AI-ready data products for pharmaceutical CMC workflows, integrating lab instruments and regulatory data to power predictive models and compliance frameworks.
DevOps Engineer III owning CI/CD pipelines, cloud infrastructure on AWS, Infrastructure as Code (Terraform), and observability for cloud-connected solar and energy storage platforms at Yotta Energy.
This role involves leading a team of engineers to develop a B2B2C e-commerce marketplace platform focused on live selling. The developer will work across the full stack using .NET, Golang, React, and TypeScript, while managing cloud infrastructure on AWS.
Own and scale the AI-SDLC platform’s deployment, CI/CD, and observability to productionise AI workflows for multiple teams, ensuring enterprise-grade reliability, security, and cost control.
Design and optimize cloud-native AWS solutions for clients, using serverless, containers, IaC, and DevOps practices to drive scalability, security, and innovation.
The Data Engineer will design and maintain API-driven data pipelines, data lakes, and warehouses to support AI initiatives and business intelligence. The role involves integrating enterprise systems like Salesforce and Oracle using AWS services, Python, and Spark.
We are looking for a forward-thinking and hands-on IT Manager to lead our technology team within a fast-paced software development environment. This role is responsible for driving both infrastructure engineering and…
The Data Engineer will design, build, and maintain scalable cloud-based data pipelines and ETL/ELT frameworks using Snowflake, DBT, AWS, Python, and SQL. The role involves developing data models, ensuring data quality, and implementing security and governance standards for enterprise data solutions.
Build data analytics and visualization tools for insurance companies using Java, React/Angular, and cloud-native stacks.
Senior ML Engineer at Kensho (S&P Global) building GenAI platforms, LLM-powered agents, and AI toolkits end to end, from modeling through production deployment using Python, LLM orchestration, and cloud infrastructure.
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