Tech jobs
Job listings
GenAI-Driven Cloud Data Engineer (AWS)
Designs AWS-based data pipelines, deploys GenAI models on SageMaker, and builds dashboards to extract business insights.
AI & Cloud Data Engineer (PySpark + GenAI)
Build and optimize cloud data pipelines with PySpark and AWS Glue, deploy ML models on SageMaker, and integrate Generative AI tools to turn raw data into actionable insights.
Sr. Fabric Data Engineer
Builds and optimizes scalable data pipelines using Microsoft Fabric, Azure Data Factory, PySpark, and SQL to enable real-time, secure data operations for analytics and AI workloads.
Senior Data Engineer
Senior Data Engineer builds and scales web-scale data pipelines for AI research, focusing on crawling, normalization, and metadata governance to power sovereign AI models like Ilmu.
AI DevOps Engineer (MLOps & Cloud)
Build and maintain cloud infrastructure and CI/CD pipelines for AI/ML systems, automate deployments, and ensure scalable, secure, and observable production environments.
Senior Cloud DevOps Engineer – AWS Platform & Automation
Designs and maintains AWS-based cloud infrastructure and automation pipelines, ensuring scalability, security, and self-service access for internal teams while driving cloud adoption.
DevOps Engineer -Lead(10+ years)
Lead a team to design CI/CD pipelines, automate cloud infrastructure, and implement DevSecOps practices using Azure/GCP, Kubernetes, and Terraform.
Senior DevOps Engineer: Data Platform & Pipelines
Own and scale data pipelines for a national payments network, ensuring reliable ingestion, storage, and governance for analytics and insights using cloud-native tools and CI/CD.
Senior Back-end Developer (Java & Spring Boot)
Builds and maintains high-performance Java/Spring Boot microservices, ensuring security and scalability while collaborating with cross-functional teams.
MLOps and AI Cloud DevOps Engineer
Designs and maintains scalable cloud infrastructure for AI/ML solutions using Terraform, AWS, and Azure, with a focus on MLOps and CI/CD automation.
DevOps Engineer - Cloud Infra, CI/CD & Reliability
Designs, deploys, and maintains cloud infrastructure across AWS, Azure, and on-prem; automates CI/CD pipelines; and ensures reliability and security for containerized workloads.
Hybrid Platform Engineer — DevOps & Cloud Automation
Builds and operates cloud infrastructure using IaC and CI/CD, focusing on DevOps automation and reliable production systems for a workflow automation platform.
Senior DevOps & Platform Engineering Leader
Leads a 30+ DevOps/SRE team to design scalable CI/CD pipelines and multi-cloud/hybrid deployments using IaC, improving deployment reliability and security for Bybit’s platform.
Senior DevOps Engineer (AI & Production Infrastructure)
Own and evolve production infrastructure for a global trading platform, using AI-assisted automation, Kubernetes, Terraform, and observability tools to keep systems running 24/7 under real uptime pressure.
DevOps Engineering with on-call (m/f/x)
Build and maintain CI/CD pipelines and cloud infrastructure on Azure, automate deployments, and provide 24/7 on-call support for a global engineering team.
DevOps Automation Engineer
Build and maintain CI/CD pipelines, automate infrastructure with IaC, and troubleshoot cloud environments using AWS/Azure/GCP, Docker, Kubernetes, and Terraform.
Cloud DevOps Engineer — Scalable, Secure Infra & CI/CD
Implement and manage cloud-native infrastructure in AWS/Azure/GCP, automate CI/CD pipelines with Terraform, and ensure secure, scalable systems for a global health services provider.
DevOps Lead
Lead cloud infrastructure and DevOps practices for a growing tech company, designing AWS-based systems, CI/CD pipelines, and automation while mentoring a small team.
Lead DevOps & Platform Engineer - AI-Driven Infra
Lead DevOps Engineer designs and maintains Kubernetes clusters, CI/CD pipelines, and an Internal Developer Platform using Terraform on AWS for a fintech company.
Cloud Platform Engineer – Multi-Cloud & DevOps
Designs, deploys, and secures multi-cloud platforms using IaC and DevOps practices to optimize cost and scalability for business units.