... AI‑accelerated development. Core Engineering Skills (12–15+ years in software engineering (back‑end or full‑stack). Expertise with Java, Spring Boot, microservices, cloud-native patterns, and distributed systems. Strong understanding of cloud platforms (Azure or AWS) and containerization (Docker/Kubernetes). Messaging technologies ...
... Boot background - Hands-on experience in Scala development - Exposure to Agentic AI frameworks and implementations - PostgreSQL integration and optimization - AWS EMR, Spark/Hadoop ecosystem - Distributed systems and large-scale cloud-based applications Experience: 6+ years - India (Hybrid/Remote) - Strong Java and Spring ...
... ideal candidate should have hands-on experience building scalable backend applications, implementing CI/CD pipelines, and deploying cloud-native solutions across AWS and GCP. Key Responsibilities: - Design, develop, and maintain scalable Java/Spring Boot microservices and REST APIs. - Build and deploy cloud-native applications ...
... software development and engineering experience. Ten or more years designing, implementing and evangelizing large scale distributed systems Prior experience with cloud technology and networking, load balancers, routing platforms, control plane, SDN, Docker, Kubernetes, public cloud (Azure, AWS) etc. Experience with any commercial ...
... Azure ML Studio, Google Vertex AI Visualization & BI: Tableau, Power BI, Looker (with AI/ML integrations) AutoML & Predictive Modeling: Google AutoML, IBM Watson Studio, BigML Degree in Computer Science, Data Science, Statistics, or related field. Experience in cloud-based environments (AWS, GCP, Azure) for ML workloads.
... LLMs, RAG, and prompt engineering . - Develop and orchestrate multi-agent systems , including tool use and agent workflows. - Deploy AI solutions across secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock . - Build and maintain robust data pipelines and ETL processes ...
... delivery. Engineering Excellence: Advocate for best practices in software engineering, including continuous integration, test-driven development, secure coding, and cloud optimization (AWS/Azure). Performance Optimization: Identify and resolve performance bottlenecks, optimize code, and ensure scalability and reliability in system ...
... databases, evaluations, and AI agent orchestration.- 3+ years of experience with cloud-native engineering, using FaaS, PaaS, or micro-services on any of the cloud hyperscalers such as Azure, AWS, or GCP, including their AI/ML services such as Azure OpenAI, AWS Bedrock, or Vertex AI, plus application-level infrastructure-as-code ...
... 1 year of experience in software development Code Writing: Demonstrated proficiency writing maintainable, effective code in high-level programming languages. Cloud - Cloud Platforms Experience: 1 year of academic or professional experience with cloud platforms (e.g., AWS, Azure, Google, Oracle Cloud). Testing and Automation ...
Meet the team The Cloud Security organization is part of Security Business Group (SBG) and its mission is to help people connect securely with confidence on any device, to any application, anywhere, anytime. The Cloud Security Escalations team, which is part of the Cloud Security organization focuses on delivering rapid ...
... normalization and design principles. Ability to work independently and in a team in a remote setting. Experience with ETL processes and data warehousing. Knowledge of cloud-based databases (AWS RDS, Google BigQuery, Azure SQL). Familiarity with database performance tuning and indexing strategies. Exposure to Python or other scripting ...
... LLMs, RAG, and prompt engineering . - Develop and orchestrate multi-agent systems , including tool use and agent workflows. - Deploy AI solutions across secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock . - Build and maintain robust data pipelines and ETL processes ...
... 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 ...
... 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 ...
App Framework Team • 80% Backend / 20% Frontend • 8+ Years Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that unifies identity, intelligence, and omnichannel activation into a single platform – powered by trillions of consumer signals and one of the industry's largest proprietary databases. Our enterprise clients ...
... Title: AWS Developer-Senior Job Description: We are seeking a skilled AWS Developer ( 6+ years of Experience) with strong experience in building and managing cloud-based data and application solutions. The ideal candidate will have hands-on expertise in AWS services, data processing frameworks, and Python development, with ...
... relational database (Oracle, Mysql, etc.) is a significant plus - Experience working with Hadoop technologies and Spark framework. - Foundational understanding of Cloud based development in general and working on AWS deployed applications in particular. - Foundational understanding of HDFS based systems and NoSQL databases like ...
... https://jobeax.com/link/JSd7UYCSg572jJDY, and React.js. - Strong grasp of container-based technologies. - Proficiency in Kubernetes concepts and networking. - Solid understanding of cloud platforms and services (e.g., AWS, Azure, GCP). - Expertise in operating systems such as Linux and Unix-based systems. - Proficiency in networking protocols: ...