tvara

3 Job openings at tvara
DevOps Engineer (Cloud Infrastructure & Automation) bengaluru,karnataka,india 4 years None Not disclosed On-site Full Time

DevOps Engineer (Cloud Infrastructure & Automation) Location: Bangalore (Hybrid) Experience: 0–4 years Department: Engineering Role Overview We’re looking for a DevOps Engineer who can build, manage, and scale cloud infrastructure across AWS and GCP . You’ll focus on automation, deployments, and performance optimization - ensuring systems are secure, reliable, and always available. This role does not use Jenkins - we rely on GitHub Actions , Docker , and cloud-native tools. Key Responsibilities Deploy and manage microservices on AWS and GCP (ECS, EC2, Lambda, Cloud Run, Cloud Functions). Create and maintain CI/CD pipelines using GitHub Actions . Work with Docker for containerized builds and deployments. Configure load balancers , auto-scaling , and API gateways for production environments. Manage database connectivity and monitoring using SQL Studio and Cloud SQL tools . Implement monitoring, logging, and alerting using CloudWatch , Cloud Monitoring , or Grafana . Manage IAM roles , VPCs , and security groups for access control. Automate build, test, and deployment workflows for staging and production. Collaborate with developers, AI, and database engineers for reliable, optimized releases. Requirements 0–4 years of experience in DevOps , Cloud , or Infrastructure roles. Hands-on experience with AWS (ECS, Lambda, RDS, S3, CloudWatch) or GCP (Cloud Run, Cloud SQL, VPC, Cloud Functions) . Proficiency in GitHub Actions for CI/CD. Knowledge of Docker and container orchestration. Familiarity with SQL Studio , database connections , and cloud database setup . Understanding of networking, DNS, SSL , and load balancing . Comfortable with Linux , Bash scripting , and basic automation . Strong debugging and problem-solving skills. Share your Resume at careers@tvara.org

Database Engineer (Cloud SQL / RDS) bengaluru,karnataka,india 4 years None Not disclosed On-site Full Time

Database Engineer (Cloud SQL / RDS) Location: Bangalore (Hybrid) Experience: 0–4 years Department: Engineering Role Overview We’re looking for a Database Engineer who can design, optimize, and maintain cloud-based databases that power our AI and automation systems. You’ll work on PostgreSQL databases deployed on GCP Cloud SQL and AWS RDS , ensuring speed, reliability, and security at scale. Key Responsibilities Design and maintain PostgreSQL schemas for scalable applications. Manage and monitor databases on Cloud SQL and RDS . Write, test, and optimize SQL queries and indexes . Set up backups , replication , and failover mechanisms. Handle connection pooling and optimize performance under load. Ensure data security , encryption , and access control . Collaborate with developers and AI teams for data architecture design. Requirements 0–4 years of experience working with PostgreSQL or MySQL Knowledge of GCP Cloud SQL or AWS RDS database setup and management. Understanding of schema design , indexing , and query optimization . Basic knowledge of backups , replication , and data recovery . Familiarity with Cloud Monitoring , IAM , and data security practices . Scripting experience in Python or Node.js is a plus. Strong problem-solving skills and attention to detail. Nice to Have Exposure to vector databases (Weaviate, FAISS, or Qdrant). Experience with ORMs (Prisma, Sequelize, TypeORM). Knowledge of Redis caching or multi-region setups . Share your Resume at careers@tvara.org

AI Engineer - LangChain & Agentic Systems (Python) bengaluru,karnataka,india 0 years None Not disclosed On-site Full Time

Company: Tech Tvara Underpinning LLP Location: Bangalore (WFO) Type: Full-time About the Role Be part of Tvara’s AI-first team by building agentic AI systems and RAG pipelines using LangChain and Python. You’ll create intelligent workflows, test models, and make AI systems usable in real-world business scenarios. Key Responsibilities Develop LangChain-based agents with memory, tool use, and reasoning. Implement RAG pipelines: document chunking, embeddings, and retrieval. Build evaluators to measure accuracy, latency, and safety of outputs. Integrate AI workflows with APIs, databases, and other backend services. Optimize inference for speed and cost efficiency. Document workflows and support sales/product teams with POCs. Requirements Proficiency in Python programming. Familiarity with LangChain/LangGraph or similar frameworks. Understanding of embeddings, retrieval, and vector databases (FAISS/Chroma/Supabase). Basic knowledge of AWS for deployment and scaling. Good problem-solving and experimentation mindset. Send your resume at : - careers@tvara.org