Full Stack Engineer

Overview

Design, build, and maintain full‑stack cloud applications with database and DevOps expertise.

Key Responsibilities

• database management
• backend development
• frontend development
• cloud integration
• ci/cd automation
• performance optimization

Tasks

-Architect, manage, and optimize SQL and NoSQL databases (e.g., Pracle, MySQL, PostgreSQL, MongoDB, DynamoDB.), including schema design and query optimization. -Support Development backend services using languages such as Node.js, Python, Java, or .NET. -Implement robust back-end services and APIs using server-side languages like Java, Node.js, Python, or .NET. -Develop responsive user interfaces using technologies like HTML, CSS, JavaScript, and modern frameworks such as React or Angular. -Integrate and manage cloud platform services (preferably AWS), utilizing AWS-managed services such as Lambda, EC2, S3, RDS, and DynamoDB. -Deploy and maintain applications on cloud platforms (AWS, Azure, GCP). -Support Implementation of authentication, authorization, and session management features. -Ensure optimal performance, scalability, and security for databases and application stacks. -Monitor application performance, troubleshoot issues, and optimize for scalability Required Skills: -Monitor, troubleshoot, and resolve production issues for database and application layers. -Automate infrastructure provisioning and deployments using Infrastructure as Code (CloudFormation, Terraform), and maintain CI/CD pipelines. -Participate in code reviews, testing, and agile team collaboration Support Full Stack Application Development -Collaborate with designers to ensure intuitive UI/UX aligned with user needs. DevOps & Cloud Integration -Automate testing, CI/CD pipelines, and infrastructure as code where applicable. -Design, develop, and maintain database-driven web applications covering both front-end and back-end. -Develop RESTful APIs and ensure seamless front-end/back-end integration. -Support Build responsive, dynamic web applications using modern front-end frameworks (e.g., React, Angular, Vue.js).

Requirements

• power bi
• databricks
• mongodb
• azure
• docker
• terraform

What You Bring

-Enterprise AI -Analytics - Microsoft Power BI Data Analyst Associate (PL-300) Additional Information: - The candidate should have minimum 12 years of experience in Database Management. - This position is based at our Bengaluru office. - A 15 year full time education is required. -Cloud Native and Containers -Agentic AI Framework (CrewAI, LangGraph, AutoGen) and Responsible AI Concepts and AI Guardrails Mandatory Certifications Database Type Recommended Certifications -Data Engineering - Databricks Certified Data Engineer Associate -MongoDB Certified Developer or DBA -Oracle Database SQL Certified Associate -Database Systems (RDBMS, No SQL and Cloud DB) -Commvault, IBM, Hitachi Backup, Cloud Front, Amazon S3, Azure Storage. -Infrastructure as a Code & Scripting -IIS, Apache, JBOSS, WebSphere/ Web Logic MFTs, MQ Series, Control M or Autosys or TWS and MTFs -Microsoft Certified: Azure Database Administrator Associate (DP-300) -AWS / Azure/ GCP - S3, Blobs, VPCs, vNet, LBs Cloud Watch, Stack Driver, Azure Mon -EDB Certified PostgreSQL Associate or Professional MySQL -Windows/ ADS or AIX and Solaris and HPUX -SQL / Relational DBs -Public Cloud IaaS and Associated PaaS -Oracle and MS SQL or MySQL and MongoDB Postgres DB- Cloud DB. -observability tools (Nagios /SolarWinds/Netcool, Prometheus, ELK) and Environment Health and Capacity Management and Tech Debt and FinOps -PODMAN, Docker Openshift and AKS and GKE and EKE -Middleware (Web Servers, Message Qs, Managed Apps, MFT, Job Schedulers -Oracle Certified Professional, MySQL Database Administrator NoSQL / Modern DBs -Terraform or Ansible - Shell Scripting and Python, Power Shell, Power CLi

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