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Capitole Consulting sigue creciendo ¡y queremos hacerlo contigo! Si sus habilidades, experiencia y cualificaciones coinciden con las de esta descripción del puesto, no demore su solicitud. Buscamos un/a DevOps Engineer…
Diseña e implementa infraestructuras en AWS usando CDK y CloudFormation, automatiza despliegues con Jenkins y Lambda (Node.js), y optimiza pipelines CI/CD con Docker y herramientas de seguridad.
Leads DevOps projects, designs scalable cloud platforms, and automates CI/CD pipelines while ensuring security, reliability, and observability in enterprise environments using Kubernetes, AWS, and Terraform.
Develops and maintains Node.js backend applications, REST APIs, and serverless services on AWS, ensuring scalability and code quality with SQL/DynamoDB/Elasticsearch.
This role involves full-stack development for client projects, requiring expertise in Java or Python, React, TypeScript, and the AWS ecosystem. The engineer will own features from conception to deployment while utilizing AI tools to optimize the development lifecycle.
Working at Signant Health puts you at the very heart of the world’s most exciting sector - a high-growth, dynamic company in an extraordinary industry. We’re radically changing the clinical trial landscape, driving…
DVT is a leading technology consulting and software engineering company delivering innovative solutions across Africa and internationally. We partner with clients to solve complex business challenges through software…
We are looking for a Senior DevOps / Backend Engineer (Java) to join our client's team on an outstaff basis. Client: USA Format: Full-time Duration: 3+ months Requirements: 4+ years of commercial experience…
Build and scale a cloud-native payment orchestration platform using React, Node.js, and AWS, integrating with payment providers like Stripe and Worldpay.
The Senior Technical Analyst, Data will design, build, and support data pipelines and integrations using AWS services to ensure reliable data flow for business decision-making. The role involves translating business requirements into technical specifications and providing informal leadership within an Agile data engineering team.
The Senior Principal Data Architect will design and maintain enterprise data architecture strategies using AWS and the Databricks Lakehouse ecosystem. This role involves leading data governance, mentoring teams, and integrating generative AI tools into daily data modeling and pipeline development workflows.
As a backend engineering intern at Capital One Canada, you will design, build, and scale core banking services, including KYC compliance APIs and ETL data pipelines, using Java, TypeScript, Python, and AWS cloud infrastructure.
This backend engineering internship involves building and scaling core financial services, including KYC compliance APIs and ETL data pipelines, using Java, TypeScript, and AWS. Interns will collaborate with cross-functional teams to develop features, write automated tests, and improve deployment pipelines.
Relay is a digital banking platform that gives self-made business owners the tools and know-how to be great with money—bringing clarity, confidence, and control to every dollar earned, so they can turn hard work into…
We have an exciting opportunity for an individual to join our Liverpool FC team as a Associate, Lead Data Engineer.You will help to deliver, maintain, and enhance the club's enterprise data platform and data warehouse…
Senior Data Engineer building enterprise-scale data platforms using Python, Snowflake, and SQL, focusing on ETL/ELT pipelines, data modeling, performance tuning, and governance.
Designs scalable AWS-based data pipelines and models, collaborating with clients and engineers to meet data needs while applying best practices in ingestion, storage, and processing.
Designs and builds scalable AWS data lakes and ingestion pipelines, bridging data science and engineering needs.
Builds and maintains scalable AWS data lakes, pipelines, and cloud infrastructure for analytics/ML, collaborating with analysts and architects to design data workflows.
Builds and maintains AWS-based data pipelines, transforming raw data into structured formats for analytics and ML models, using cloud-native tools and containerization.
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