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Python Fullstack Developer

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Onsite

Python Fullstack Developer

Zensar

Python Fullstack Developer

Skills

Google Cloud PlatformMongoDBDockerReactTypescriptPythonMicroservicesPostgreSQLCassandraGrafanaAIAWSPrometheusGitHubKubernetesNo-code AutomationsDatabase AdministrationComplianceJavascript

10 days ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

9 October 2026

What they need


Role Summary
Build automation solutions, APIs, AI-powered tools, and self-service platforms that simplify database operations, reduce manual effort, and improve reliability across enterprise-scale database environments.

Key Responsibilities

Develop Python-based automation for database administration tasks, cluster expansions, health checks, compliance validation, self-heal.

Build full-stack applications using React, JavaScript/TypeScript, APIs, and microservices.

Leverage Generative AI, Agentic AI, and LLM technologies to create intelligent operational assistants and workflow automation.

Design integrations with databases, cloud services, ticketing platforms, monitoring systems, and CI/CD pipelines.

Collaborate with DBAs, SREs, and platform engineers to eliminate repetitive operational work.

Create dashboards, self-service portals, and reporting solutions.

Maintain coding standards, security controls, testing, and documentation.

Required Qualifications

3+ years of software development experience.

Strong Python programming skills.

Experience with JavaScript and React.

Experience developing REST APIs and integrations.

Hands-on experience with Generative AI, Agentic AI, and LLM frameworks.

Strong problem-solving and automation-first mindset.

Preferred Qualifications

Database experience (PostgreSQL, Cassandra, MongoDB, Couchbase, Yugabyte, etc.).

Experience with AWS and/or GCP.

Hands-on experience Docker, Kubernetes, GitHub Actions, CI/CD pipelines.

Monitoring and observability tools such as Prometheus and Grafana.

Knowledge of infrastructure automation and DevOps practices.

Success Measures

Reduction in manual operational effort.

Improved reliability and faster issue resolution.

Increased automation coverage across database platforms.

Adoption of self-service tools by engineering teams.

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