... them to focus on the core competencies needed to drive their business. Our solutions portfolio includes Standard Data Feeds, Exchange Data Feeds, OnDemand/APIs, Cloud Deliveries, Cornerstone and User Defined Feeds, and Benchmark Feeds. 0-1 years of client-facing experience in the Fintech industry and having worked and delivered ...
... build is customer-facing. Development & Implementation - Build scalable backend services, APIs, and AI-powered features using TypeScript/Node.js, Python, and cloud platforms. Build and ship features end-to-end, from backend services to customer-facing interfaces. Work on AI-powered workflows: prompt design, evaluation, ...
... IDS/IPS, Firewalls and IPsec VPN.- Strong understanding and hands-on experience with site-to-site VPN technologies, including IPsec, GRE, mGRE, DMVPN, FlexVPN, and cloud-based VPN integrations (e.g., Azure, AWS, GCP) for secure and scalable inter-site connectivity.- Hands-on experience with Remote Access VPN solutions using protocols ...
... understanding of deep learning algorithms, NLP frameworks, transformer architecture, data structures, and model optimization techniques - Experience working with cloud AI platforms and services (e.g., GCP, AWS SageMaker, Google AI Platform, Azure ML) , preferably GCP - Ability to clearly communicate technical concepts to both ...
... in the US, our clients span the globe and include more than 300 of the Fortune 500 companies. We bring deep expertise across Atlassian, IBM Apptio,ServiceNow, cloud, data, and enterprise agilityto enable intelligent enterprises where people and AI orchestrate as one. Work Schedule: The role operates primarily in US Shift ...
... Copilot platforms or AI assistant products. Familiarity with: LangChain LangGraph LlamaIndex CrewAI AutoGen Semantic Kernel Experience deploying AI systems on cloud platforms such as: AWS Azure GCP Exposure to MLOps / LLMOps workflows. Experience with Docker, Kubernetes, CI/CD pipelines, and scalable deployment architectures. ...
... deep-tech IT services company dedicated to transforming businesses with cutting-edge solutions. Our expertise spans Data Analytics, Engineering, and Visualization; Cloud services including DevOps, InfoSecOps, and InfraOps; Software development and modernization; and Generative AI-driven business applications. As a trusted partner ...
... engineering basics for coding or productivity use cases Experience establishing or improving AI-tool usage guidelines/policies on an engineering team Experience with cloud infrastructure (AWS, GCP, or Azure) and container orchestration (Kubernetes) Contributions to internal tooling, developer experience, or engineering productivity ...
... technologies such as Docker and deployment on Kubernetes/OpenShift. Experience or exposure to Camunda BPM or workflow tools. Frontend exposure using React.js. Cloud platform exposure (AWS preferred). Knowledge of CI/CD pipelines and DevOps practices. Prior experience in banking or financial services domain. You may be assessed ...
... models and monitoring the server infrastructure using industry standard tools. Experience in docker based deployment models. - Hands on experience in one or more cloud technologies like AWS, Azure, Google Cloud to create Deployment Architecture for enterprise solutions. - Experience in designing and developing micro-services-based ...
... Administration Proven experience in planning, deploying, supporting, and optimizing highly scalable and resilient SAP HANA database systems. Familiarity with public cloud platforms such as GCP, AWS, or Azure Understands Agile principles and methodologies. Strong understanding of database architecture Experience in database design ...
... components You like to take risks when looking for novel solutions to complex problems. Python for data pipelining and automation. Airbyte for ETL purpose Google Cloud Platform (GCP)/AWS, Snowflake, Terraform, Kubernetes, Cloud SQL, Cloud Functions, BigQuery, DataStore, and more: we keep adopting new tools as we grow! Airflow ...
... and testing. Strong experience in https://jobeax.com/link/JSd7UYCSg572jJDY as the primary backend technology. Experience in TypeScript. Strong experience with AWS Cloud Platform. Hands-on experience with AWS Serverless technologies including Lambda, API Gateway, DynamoDB, S3, EventBridge, SQS, SNS, etc. Strong experience ...
... cloud data platforms, or big data technologies. - Technical Skills: A deep understanding of Databricks architecture and Apache Spark™, along with experience in cloud platforms like AWS, Azure, or GCP, is essential. Strong capabilities in designing and managing data pipelines, distributed computing are required. Proficiency ...
... experience in Python, SQL, Scala, Java, or R. - Experience building distributed data systems at enterprise scale. - Hands-on experience with at least one major public cloud (AWS, Azure, or GCP). - Available to travel to customers in your region and occasionally internationally. - Nice to have: prior experience working in or with ...
... management, and process automation platforms. ITIL v4 Foundation or Intermediate (Service Operations, Service Transition) Google Workspace Administrator Professional AWS Certified SysOps Administrator, Azure Administrator, or similar cloud certifications Experience supporting payroll/HRIS/ERP systems and understanding of related ...
... are necessary for scalability and performance. You will also need knowledge and experience with data modeling and relational databases. Our application runs on AWS, so experience with containerization and cloud deployments is desirable. We're using Springboot, Hibernate, MySQL, and JSON, so familiarity with these technologies ...
... and database integration Network Protocols: Database Skills: Experience with both relational databases and time-series databases for network metrics storage Cloud Services: Hands-on experience with AWS/Azure/GCP services, particularly networking and compute services Understanding of WebSocket, Server-Sent Events, or similar ...
... components You like to take risks when looking for novel solutions to complex problems. Python for data pipelining and automation. Airbyte for ETL purpose Google Cloud Platform (GCP)/AWS, Snowflake, Terraform, Kubernetes, Cloud SQL, Cloud Functions, BigQuery, DataStore, and more: we keep adopting new tools as we grow! Airflow ...