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The Senior Data Engineer will design and implement end-to-end AI features, including data pipelines, Generative AI, and agentic workflows. The role involves building scalable systems using Python, SQL, and modern frameworks like LangChain and Spark while managing MLOps practices across major cloud platforms.
Designs and delivers AI-driven automation solutions using Microsoft Power Platform and Azure for enterprise clients, focusing on workflow optimization and digital transformation.
Leads and builds intelligent automation solutions using Microsoft Power Platform and Azure for enterprise clients, focusing on workflow optimization and AI-driven processes.
Builds and maintains cloud-native integration portals and microservices for H&M’s global retail tech stack, focusing on Azure-based backend solutions, CI/CD pipelines, and cross-team collaboration to enable seamless integrations for internal and external partners.
OppFi is a leading tech-enabled digital finance platform that works with banks to provide financial products and services for everyday Americans. Through a transparent and responsible platform, which includes financial…
Build and operate an AI platform connecting engineers to LLM providers (Anthropic, Bedrock, OpenAI) via API gateways, orchestration tooling, and governance controls using Python or Go.
Designs, secures, and operates Front’s internal platform infrastructure (AWS/Snowflake) for GTM teams, defining security standards, IaC, CI/CD, and observability while collaborating with engineering to ensure safe, scalable operations.
On-site SecDevOps Engineer at an aerospace jet-engine manufacturer, responsible for embedding automated security controls into CI/CD pipelines, managing Kubernetes clusters, building IaC with Terraform, and integrating cybersecurity tooling like SIEM, EDR, and vulnerability scanners.
Senior Data Engineer builds GCP-based lakehouse pipelines in Python/Spark, enabling cross-platform data sharing between BigQuery, Snowflake, and Databricks using Iceberg UniForm, Delta Sharing, and Kafka CDC.
Cloud & DevOps Engineer designs, deploys, and automates cloud-native infrastructures on Azure/AWS, focusing on Kubernetes, IaC, CI/CD, observability, and security for clients.
Owns cloud security detection and response for Veeam’s SaaS platform on Azure/AWS, building a security data lake, writing detections as code, and automating remediation via Terraform and Python.
Designs and deploys AI security controls for Veeam’s multi-cloud SaaS platform, focusing on LLM input/output safeguards, vulnerability reduction, and threat modeling for AI tools. Shapes internal AI security practices and integrates LLM-driven security into CI/CD pipelines.
Dexis Development is looking for a Senior Penetration Tester / Application Security Engineer for an upcoming European client project. Start: Q4 2026 Format: Remote Engagement: Project-based / part-time Main scope: Web…
We are still looking for the very Top Talent…and we would be delighted if you were to join our team! More in details, UST is a multinational company based in North America, certified as a Top Employer and Great Place…
Build and maintain CI/CD pipelines and cloud infrastructure for a Conversational AI platform using Azure, Kubernetes, Helm, and Terraform.
DevOps Engineer automates cloud deployments, CI/CD pipelines, and identity management (Azure AD, Okta) to ensure resilient infrastructure and secure access for XTEL’s AI-driven consumer goods solutions.
Designs and automates secure cloud platforms and CI/CD pipelines, integrating SAST/SCA scanning and Kubernetes security for clients in defense, mobility, and telecom.
Builds secure, automated DevOps environments by designing CI/CD pipelines, managing cloud infrastructure, and hardening container/Kubernetes setups with security controls.
Build and own secure, production-grade full-stack systems and AI agent platforms in Python/TypeScript, deploying on GCP/Kubernetes to support clinical R&D and corporate workflows in a regulated biotech environment.
The Solutions Architect designs and delivers technical foundations for AI-enabled products within the Kroger Precision Marketing portfolio. This role involves defining architecture patterns, building prototypes, and collaborating with cross-functional teams to scale data and API solutions.
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