3 Dgraph Jobs

As an AI Platform Engineer, you should have a minimum of 8 years of experience in the relevant field, with internships, prototypes, and personal projects not being considered. Proficiency in coding is essential, preferably in Python or Java. You should possess experience in DevOps Culture, including owning development and deployment processes end-to-end. Additionally, you should have hands-on experience in building or deploying solutions in the cloud, either using Cloud Native services like S3, Lambda, AWS Batch, and ECS, or Cloud Agnostic solutions such as Kubernetes services. Having experience in Continuous Integration and Continuous Deployment (CICD) is crucial, with familiarity in tools like Github Actions or Jenkins. Proficiency in Infrastructure as Code using Terraform is highly desirable. Moreover, you should have expertise in at least one of the following focus areas: 1. Big Data: Experience in building Big Data pipelines or platforms to process petabytes of data using technologies like Kafka, Debezium, Lakehouse (Hudi/Iceberg/Delta Lake), Spark, Glue, and EMR is preferred. 2. Graph Databases: Proficiency in ingesting and consuming data in Graph Databases like Neo4J, JanusGraph, or DGraph would be beneficial. 3. MLOps: Knowledge in infrastructure and operation, including technologies such as Kafka, KNative, KServe, Nvidia Triton, Ray Serve, MLflow, and Sagemaker, is advantageous. Your role as an AI Platform Engineer will involve leveraging your expertise in these areas to contribute to the development and deployment of cutting-edge AI solutions within a dynamic and innovative environment.,

You are a proactive and experienced QA Engineer with 4-8 years of expertise in automation testing, API testing using Postman, and hands-on experience validating AI/ML models and working with OpenSearch. You are passionate about delivering high-quality software and thrive in fast-paced, data-driven environments. Your key responsibilities include designing, developing, and maintaining automated test frameworks and test scripts for web, backend, and data-intensive systems. You will create and execute test plans for API testing using Postman, Swagger, or similar tools. You will validate AI/ML model outputs for accuracy, fairness, performance, and edge cases. Additionally, you will develop test strategies for systems using OpenSearch or Elasticsearch, perform functional, regression, integration, and performance testing across products, identify, log, and track bugs using tools like JIRA, and actively participate in sprint planning, story grooming, and retrospectives. Furthermore, you will contribute to the continuous improvement of QA processes, automation coverage, and test pipelines. Your required skills include proficiency in automation testing using Selenium, Playwright, Cypress, or similar frameworks, API testing with tools like Postman, REST Assured, Swagger, scripting/programming in Python, JavaScript, or Java, basic understanding of ML models for AI testing, experience with OpenSearch/Elasticsearch for search validation, familiarity with CI/CD integration tools like Jenkins, GitHub Actions, and version control systems like Git/GitLab/Bitbucket. Preferred qualifications include experience working with large-scale data-driven applications, familiarity with Docker, Kubernetes, or cloud platforms (AWS, Azure, GCP), knowledge of security testing or performance testing tools (e.g., JMeter, Locust), exposure to Agile/Scrum methodologies, and test case management tools (e.g., TestRail, Zephyr). Your soft skills include strong analytical and problem-solving skills, excellent written and verbal communication, ability to work independently and in a collaborative team environment, and a detail-oriented mindset with a passion for quality. Lendfoundry is part of Sigma Infosolutions Limited, launched in 2004 with offices in Bangalore, Ahmedabad, Jodhpur, and Indore. Lendfoundry, founded in Irvine, California in 2015, aims to build systems that allow marketplace lenders to eliminate tech buildout, minimize IT infrastructure, and accelerate their growth strategy. LendFoundry offers a turnkey solution for fintech startups and existing marketplace ventures, providing end-to-end loan origination and loan management processes to approve, disburse, and manage loans quickly and easily.,

Data Engineer and Developer We are seeking a Data Engineer who will define and build the foundational architecture for our data platform the bedrock upon which our applications will thrive. You all will collaborate closely with application developers, translating their needs into platform capabilities that turbocharge development. From the start, you all will architect for scale, ensuring our data flows seamlessly through every stage of its lifecycle: collection, modeling, cleansing, enrichment, securing, and storing data in an optimal format. Think of yourself as the mastermind orchestrating an evolving data ecosystem, engineered to adapt and excel amid tomorrow's challenges. We are looking for a Data Engineer with 5+ years of experience who has: Database Versatility: Deep expertise working with relational databases (PostgreSQL, MS SQL, and beyond) as well as NoSQL systems (such as MongoDB, Cassandra, Elasticsearch). Graph Database: Design and implement scalable graph databases to model complex relationships between entities for use in GenAI agent architectures using Neo4J, Dgraph, ArangoDB and query languages such as Cypher, SPARQL, GraphQL. Data Lifecycle Expertise: Skilled in all aspects of data management collection, storage, integration, quality, and pipeline design. Programming Proficiency: Adept in programming languages such as Python, Go. Collaborative Mindset: Experienced in partnering with GenAI Engineers and Data Scientists. Modern Data Paradigms: A strong grasp of Data Mesh and Data Products, Data Fabric. Understanding of Data Ops and Domain Driven Design (DDD) is a plus.