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Build and evolve Node.js backend microservices on AWS (serverless, event-driven) that power Alegra's cloud accounting and invoicing platform for SMEs across Latin America, including integrating AI agents and migrating legacy systems. Role is 100% remote with a fixed Mon-Fri schedule.
Build and operate data and analytics services that power critical markets risk decisions at scale. In this senior, hands-on role, you will lead complex engineering initiatives across a modern cloud and big data stack…
Senior DevOps Engineer on Healix, Deloitte's AI-native healthcare venture: owns and evolves an AWS cloud platform with production-grade EKS/Kubernetes, Terraform/Terragrunt infrastructure as code, CI/CD, observability and on-call production support, while leading pragmatic AI adoption for infrastructure and platform work. Hybrid role across multiple Canadian cities.
We are extending our Integrity teams and seeking for several Senior/Principal Backend Engineers for IC (Individual Contributor) and Tech Lead roles with strong expertise in Java, backend technologies and AWS…
A staff-level data engineer who builds and maintains dbt transformation models and Snowflake SQL pipelines, develops Airflow DAGs on AWS ECS, and supports Python/AWS Lambda-based ingestion from S3. Core stack: dbt Core, SnowSQL, Airflow, and a broad set of AWS data services.
Senior Data Engineer in Kuala Lumpur building and maintaining scalable AWS-based data platforms (Glue, Redshift, S3, Apache Iceberg) for an insurance client. Day to day involves ETL/ELT pipeline development, Terraform IaC, data governance and quality, monitoring, and disaster recovery support.
A full stack engineer in London joining an existing team to write production-quality code, troubleshoot distributed systems, and drive deliverables through to deployment. Core stack spans the MEAN stack (MongoDB, Express, Angular, Node.js) plus C#/.NET Core, SQL Server, Apache Kafka, Docker and AWS.
Part-time remote contract (~20 hrs/week) for a hands-on Senior DevOps/Platform Engineer modernizing a SaaS platform serving ~800 flooring businesses from legacy .NET/SQL Server to React, Node.js, TypeScript, native PostgreSQL, and AWS. The engineer owns CI/CD, observability, security, and safe, frequent releases, including the Babelfish-to-PostgreSQL transition.
Long-term contract role in London (hybrid, 2-3 days/week in office) owning a critical backend data layer: designing, securing and tuning NoSQL databases and building event-driven services on AWS (Lambda, API Gateway, SQS/SNS/EventBridge, Step Functions) using TypeScript/Node.js, Python or Java, with Terraform/CloudFormation/CDK and CloudWatch observability.
Semi Senior Java backend developer in Buenos Aires (hybrid) who builds and evolves payment-platform solutions: developing Java 17 / Spring Boot 3 microservices on AWS, integrating external payment services, writing unit/integration tests, and collaborating in agile teams with code reviews and CI/CD.
Senior Data Engineer builds and maintains scalable data pipelines and document-oriented data models for Volkswagen Group’s Digital:Hub in Spain, using Python, Kafka, MongoDB, and AWS services.
Senior software engineer at IT services firm YASH Technologies in Bangalore who designs and maintains enterprise integrations using IBM DataPower and App Connect Enterprise (ACE), including migrating those workloads to AWS (ECS/EKS, Lambda, IaC), managing TLS/security policies, CI/CD deployments, and platform health.
A Cloud ML Engineer at Vodafone VOIS in Pune designs, builds, and productionizes machine learning systems and end-to-end ML pipelines on AWS (SageMaker, CloudFormation, CodePipeline, etc.), while automating model training, enhancing data pipelines, and evolving Big Data platform capabilities. Requires 5+ years in AI/ML engineering with strong Java and Python skills.
Designs and leads delivery of modern, governed AWS data platforms for analytics, AI/GenAI, largely for UK public-sector clients. Day to day: data integration, lakehouse/warehouse architecture on S3, Glue, Redshift, Athena and Lake Formation, plus security, IaC-driven CI/CD (Terraform/CDK) and FinOps, working hybrid from Birmingham.
A senior engineer in Capgemini's Insights & Data practice in Wrocław who designs and builds scalable cloud data platforms on AWS, Azure, or GCP — batch and streaming pipelines, data models, orchestration, and operationalizing ML models. Core stack: Spark/Snowflake/Delta Lake, SQL/NoSQL, Python/Scala, Docker/Kubernetes, CI/CD.
AI engineer on Deloitte's Connection Layer / AI Banking Platform team in Madrid, designing secure, governed connectivity between AI agents, MCP servers, gateways, and corporate APIs. Day to day spans MCP server analysis, OAuth 2.0/JWT/mTLS identity and authorization design, and AWS-based cloud security architecture.
Onsite technical lead role in Dallas, TX designing and delivering enterprise-scale cloud-native applications. Day-to-day involves leading dev teams, architecting Node.js/React microservices on AWS (Serverless, Kubernetes, Kafka), mentoring via code reviews, and driving CI/CD and architecture best practices.
A full-stack engineer at Capgemini's Irving, TX office (hybrid) who builds and supports cloud-native, serverless applications using Node.js, React, AWS services, and microservices. Day-to-day work includes developing backend services and REST/GraphQL APIs, contributing to CI/CD pipelines, code reviews, sprint planning, production support, and mentoring junior developers in an Agile environment.
Capgemini is hiring an AWS Solution Architect in New York, NY to design end-to-end enterprise architectures on AWS (Lambda, EKS, API Gateway, Terraform), set React frontend standards, define API/integration strategies, and mentor development teams while driving DevSecOps, CI/CD, and modernization initiatives.
As a Snowflake Platform Engineer on Boehringer Ingelheim's global Data Platforms team, you will administer, secure, and automate the company's enterprise Snowflake platform on AWS, monitor performance and costs, and act as a Snowflake subject-matter expert helping teams worldwide adopt best practices.
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