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Build and secure Azure-based AI infrastructure using Terraform/Bicep, AKS, KEDA, and CI/CD pipelines to automate deployment and scaling of agentic workflow automation platforms for financial services clients.
Build and secure Azure landing zones, CI/CD pipelines, and MLOps/LLMOps automation to safely deploy AI agents and apps across sandbox, staging, and production environments.
Mid-level DevOps engineer focused on cloud security, automating secure deployments and maintaining Kubernetes environments with IaC and CI/CD pipelines.
Build and own a data-quality platform’s React UI and FastAPI backend, integrating AI services and cloud infra to deliver scalable, secure workflows for enterprise users.
Maintains and optimizes enterprise database systems (SQL Server, PostgreSQL, MySQL, Aurora) on AWS, ensuring high availability, security, and performance for production environments.
Senior Full Stack Engineer building secure, scalable backend systems with TypeScript/Node.js, PostgreSQL, and compliance-focused workflows for a fintech startup.
Position: DevOps Engineer Company : OMPAY powered by Omantel | Location: Muscat, Oman Experience: 3 – 5 years | Job Type: Full-time Job Summary We are seeking an experienced DevOps Engineer with a strong background in…
Designs and builds a scalable full-stack architecture for internal AI tools, mentors junior engineers, and implements security and CI/CD pipelines.
Build and maintain Databricks pipelines and AWS data lake components during a Redshift-to-Databricks migration, focusing on data governance and RBAC.
Architect and build Factored OS, a modular full-stack platform enabling teams to ship tools efficiently, using Node.js/React and cloud services.
Build full-stack AI products with TypeScript, React, Next.js, Supabase, and Tailwind, focusing on AI agent integrations, MCP servers, and LLM workflows using AI-assisted development tools like Cursor.
Builds secure, cloud-native transaction-processing portals and APIs using React/Next.js, Node.js, and SQL, with a focus on PCI-DSS compliance and secure data handling.
Senior Data Engineer builds scalable pipelines, warehouses (Snowflake), and ML workflows in Azure to power analytics and AI agents, collaborating with scientists and product teams.
Build Databricks pipelines and migrate data from Amazon Redshift to Databricks using AWS S3, Glue, and Athena while implementing data governance practices.
Build and run Linqia’s AWS-based, Kubernetes-powered influencer marketing platform, automating deployments with Terraform, Jenkins, and GitOps while optimizing cloud costs and reliability.
Design and maintain secure, scalable Azure cloud infrastructure using Terraform, CI/CD pipelines (Jenkins/GitHub Actions), and Linux automation for global tech teams.
Build and maintain scalable Java/Spring Boot microservices, REST/GraphQL APIs, and secure multi-tenant systems in a cloud-native environment.
Build and maintain Factored OS, a modular full-stack platform enabling internal teams to ship tools efficiently, using Node.js/React and cloud infrastructure.
Build and scale an on-premise Kubernetes-based data platform for a global payments unicorn, blending SRE, data, and ML engineering to support real-time transactions and GenAI services.
Builds and maintains a secure, self-service data platform for engineers using Databricks, Delta Lake, Terraform, and CI/CD pipelines to enable global data access.
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