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Build and deploy AI systems for a social media app, including RAG, multi-agent LLM workflows, and generative media, using Python, LangChain/LangGraph, and GCP.
Senior AI QA Engineer designs and runs automated tests for enterprise AI apps, including LLMs, RAG systems, and AI agents, using Python, Pytest, Playwright, and observability tools to ensure accuracy, reliability, and scalability.
Site Reliability Engineer in Porto maintaining and scaling Kubernetes-based infrastructure and observability platforms using GCP, Prometheus, Grafana, and OpenTelemetry.
GG-1447 - Site Reliability Engineer (SRE) – Platform Team (AWS + Hybrid) Location: Hyderabad, India; Kochi, India; Mohali, India Department: Software Development Experience: 6+ Site Reliability Engineer (SRE) –…
Maintain and improve monitoring and observability platforms for a telecom network control system, using tools like Checkmk, Grafana, Kibana, and OpenTelemetry across VMware and Kubernetes environments.
Booking Holdings Romania - Fullstack Software Engineer - Pipeline Location: Bucharest, Bucureşti, Romania Booking Holdings Romania is a Center of Excellence based in Bucharest, Romania and was created to support the…
Booking Holdings Romania - Senior Java Software Engineer - Pipeline Location: Bucharest, Bucureşti, Romania Booking Holdings Romania is a Center of Excellence based in Bucharest, Romania and was created to support the…
This role focuses on ensuring the reliability, performance, and cost-effectiveness of AI and agentic workloads running on cloud platforms, using observability, SLOs, and automation to maintain high-quality production systems.
Senior MLOps engineer at a large Asian bank, building and deploying AI models (traditional, generative, agentic) into production using cloud, containers, and CI/CD pipelines.
Designs, builds, and deploys AI/ML and GenAI solutions for cloud applications, owning the full lifecycle from model development to MLOps and monitoring.
Develops and maintains Java microservices and APIs to modernize mainframe systems, refactoring legacy code for cloud and mobile integration.
Designs and builds an enterprise-scale Agentic AI platform that lets engineering teams create, deploy, and run secure, governed AI agents using cloud-native tools and AI frameworks.
Develops and maintains cloud-native, distributed systems for datacenter networking, focusing on automation, observability, and CI/CD pipelines using tools like Kubernetes, Terraform, and OpenTelemetry.
Leads SDET efforts for HPE’s datacenter networking team, designing and automating large-scale cloud-native test frameworks for protocols like EVPN/VXLAN and BGP, with expertise in Python/Golang, Kubernetes, and observability tools.
Builds and maintains cloud-native networking software and automation tools using Python, Go, or Java, focusing on Kubernetes, OpenStack, and CI/CD pipelines.
Principal SDET designing and automating tests for HPE’s cloud-native datacenter networking products, focusing on protocols like EVPN/VXLAN and BGP with Python/Golang automation and CI/CD integration.
Builds and deploys AI/ML and GenAI models for cloud applications using Python, PyTorch/TensorFlow, and MLOps tools like MLflow and Langfuse.
Lead a new Site Reliability Engineering team to design and implement reliability frameworks (SLO/SLI, error budgets, incident response) for LSEG’s internal observability platform, shaping how teams across the company operate services.
Lead the reliability engineering strategy for large-scale cloud platforms, defining SLOs, automation, and observability while mentoring teams on SRE best practices.
Maintains and automates the reliability of Morgan Stanley’s financial trading systems, using Linux, Kubernetes, Python, and AI-enabled tooling to reduce downtime and improve operational efficiency.
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