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Build and maintain CI/CD pipelines, infrastructure as code, and AWS environments for a federal program, using GitHub Actions, CloudFormation, Terraform, and Docker.
Build and maintain healthcare EHR integrations (Epic, Cerner) using FHIR/HL7 APIs, ensuring reliable data flows for AI-powered clinical decision support in hospitals.
Principal Data Scientist / ML Consultant (Contract) Duration: 6 Months Engagement: Full-Time Contract Working Model: Hybrid (UK-based) Location: Client site attendance as required Start Date: ASAP Overview We are…
About Us We're a technology consultancy that partners with scale ups, SMEs, and enterprise organisations to accelerate business value, speed, and quality of delivery. Our consultants bring hands on experience from…
Leads AI/ML product strategy for data-quality and evaluation systems, defining roadmaps for agentic workflows, synthetic data, and expert contributor tools to improve AI-ready dataset delivery.
Cloud DevOps Engineer building CI/CD pipelines and IaC at scale across Linux, Windows, and cloud-native environments in a compliance-driven setting (NIST 800-53, FedRAMP, DISA STIGs).
The Web Developer will work in the Tampa office to design, develop, and maintain various software and web applications, providing technical expertise for operational and exercise requirements.
Cloud Security Engineer responsible for vulnerability management, operating security tooling across AWS and Azure, and performing architecture reviews to drive remediation outcomes across engineering teams.
Job Description Everforth ECS is seeking a highly skilled DevOps Engineer with extensive experience in independently applying a wide set of engineering disciplines for system design, analysis, coding, testing,…
Build and enhance proprietary executive-network platforms using TypeScript, React, Node.js, and AWS, integrating AI to improve user experience and system performance.
Design and build scalable AWS-based data pipelines and storage systems using Python, PySpark, and AWS services to support automation and cloud migration for Fortune 500 clients.
Builds backend data services and React dashboards for rail inspection analytics, using Python, AWS, and modern frontend tooling to deliver inspection insights to stakeholders.
Build and maintain data pipelines, ML models, and APIs on AWS that power Zula 2.0, a rail-inspection data platform ranking and fusing inspection outputs.
Designs and optimizes ETL pipelines, MLOps workflows, and data lakehouse architecture to power analytics and AI/ML systems for an edtech company.
Builds and maintains a Python/React-based platform for rail inspection products, focusing on backend services, frontend apps, and AWS infrastructure while ensuring reliability, resilience, and incident response.
Design, build, and run AWS cloud infrastructure for a rail-inspection company, migrating legacy systems to the cloud while ensuring security, reliability, and cross-timezone collaboration with a UK team.
Designs, builds, and maintains scalable AWS infrastructure using IaC and containers, ensuring high availability and security while collaborating with global teams.
Design, build, and maintain AWS cloud infrastructure and containerized services using IaC, ECS, and API Gateway to ensure scalable, secure, and automated deployments.
Leads a scrum team to design and build scalable, cloud-native web apps for higher-ed institutions using C#, .NET, AWS, and React/Vue, while mentoring peers and improving system performance.
Leads data stack modernization by migrating SQL Server models to Snowflake/AWS cloud, building scalable ELT pipelines with Python, Airflow, and DBT, ensuring data quality, and collaborating with stakeholders to deliver analytics solutions.
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