... managers and technical leads - Proven success in scaling high-performing engineering orgs in product-led environments - Deep understanding of modern system design, cloud infra (AWS/GCP), microservices, and data-intensive applications - Hands-on understanding of AI/ML systems and LLM architecture to set direction and ensure teams ...
... experience managing cloud data engagements like data migration, data lake/data warehouse build, data engineering, data science projects. Hands-on experience in modern cloud data stack (e.g., Databricks, Spark, Python, AWS, Azure, GCP, etc.) Hands-on knowledge of implementation of PM tools and techniques (like Jira, Trello, Zoho ...
... years of experience in MLOps, LLMOps, ML Engineering, DevOps, or Platform Engineering.- Strong Python and software engineering skills, with CI/CD (Jenkins), cloud (AWS), Docker, and infrastructure-as-code (Terraform).- Hands-on experience deploying, scaling, and monitoring ML models in production.- Practical experience ...
... Experience/knowledge into JavaScript + Angular/React Js/Typescript, Graph Query Language (GQL) Experience of working with Elasticsearch/Solr Experience with Cloud Computing platforms like AWS/GCP/Azure Cloud Experience building or integrating AI-enabled capabilities, intelligent workflows, or automation features into backend ...
... R, React, NodeJS , and Jupyter Notebooks . Build, deploy, and manage containerized applications with Docker and Kubernetes . Develop and maintain solutions on AWS and/or Google Cloud (GCP) platforms. Work with GenAI, Agentic AI, and Machine Learning technologies , including hands-on experience with platforms like Dataiku, ...
... Agentic AI / Multi-Agent architectures- Experience with tool use, memory, planning, guardrails, observability and Human-in-the-Loop (HITL) workflows- Hands-on cloud deployment experience in Azure / AWS / GCP- Experience with enterprise integrations such as Graph API, Power Automate, Salesforce, etc.- Understanding of secure ...
... Knowledge of security frameworks (OWASP Top 10, NIST, CIS). - Experience in threat modeling (experience with commercial tools is a plus). - Familiarity with cloud and container security (AWS, Azure, Kubernetes). - Bachelor's degree in Computer Science, Cybersecurity, or related field . CISSP, CSSLP, or CEH (with application ...
... Cloud/Python Developer to be a member of the Media Products development https://jobeax.com/link/gkiiESyp1RQ3C2dK Stack:- 8+ years building backend services for cloud-based SaaS products.- Solid AWS fundamentals: IAM, ECS/EKS, RDS/Aurora, SQS/SNS, Secrets Manager, and CloudWatch.- Experience with multi-tenant systems and the ...
... Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : AWS Analytics Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Engineer, ...
... transition the proof-of-concept into production. Create Technical documents, develop, test, and deploy data analytics processes using REACT, Python, SQL on Azure/AWS platforms Can interact with client on GenAI related capabilities and use cases Qualification: - B-Tech or BE in Computer Science / Computer Applications from ...
We are seeking a Senior GCP Data Engineer to design, build, and operate scalable batch and real-time data pipelines on Google Cloud Platform (GCP) . The ideal candidate has strong foundations in cloud-native data engineering, is highly self-driven, accountable, and excels as a collaborative team player in Agile environments. ...
... integrating Salesforce with SAP/Oracle ERP or other manufacturing ERP systems.- Knowledge of MuleSoft or other middleware platforms.- Experience with Manufacturing Cloud data model and industry-specific business processes.- Experience with Sales Cloud, Service Cloud, Experience Cloud, CPQ, or Data Cloud.- Knowledge of Salesforce ...
... architecture, engineering productivity, code quality, testing, documentation, troubleshooting, and business outcomes. - Hands-on experience with several modern cloud and data platforms, such as Snowflake, Databricks, Google BigQuery, AWS, Microsoft Azure, and Google Cloud Platform . - Strong data engineering experience with ...
... protocols . - Familiarity with Windows and Linux security . - Understanding of OWASP Top 10 and common cybersecurity threats. - Experience with Microsoft Azure/AWS security is an advantage. Why Join Relay Human Cloud Excellent work-life balance – 5-day workweek Generous paid time off and holidays Employee development programs ...
... Agentic AI / Multi-Agent architectures- Experience with tool use, memory, planning, guardrails, observability and Human-in-the-Loop (HITL) workflows- Hands-on cloud deployment experience in Azure / AWS / GCP- Experience with enterprise integrations such as Graph API, Power Automate, Salesforce, etc.- Understanding of secure ...
Solution Architecture & Deployment Build and deploy REST APIs for AI/ML models. Work with Docker, Kubernetes in cloud environments (AWS/Azure/GCP). GenAI & LLM Development Implement RAG pipelines, embedding, and prompt engineering techniques. Work with commercial and open-source LLMs (GPT, Claude, LLaMA, Phi). Agentic AI ...
... we handle a diverse set of tasks from across the DevOps spectrum. Build and maintain secure, scalable, HIPAA- and HITRUST-compliant infrastructure on multiple cloud platforms (AWS and Azure). Design, implement, and manage scalable, secure, and highly available cloud infrastructure. Contribute to DevOps architecture best ...
... framework. J2EE, SQL, AJX, java-script, Application Servers Exposure to Cluster and Fault-tolerance Architecture. Excellent Java programming skills. Good Exposure to Cloud services is a plus. Good knowledge in database design and some experience in PL SQL. Good exposure to core design patterns. Positive attitude and ability to ...
... serving infrastructure Experience with Snowflake Cortex AI functions or similar LLM API integrations for data enrichment and AI-ready data product development Cloud infrastructure (AWS, Azure, or GCP) — including infrastructure-as-code and cost management Knowledge of streaming ingestion patterns (Kafka, Snowpipe Streaming) ...