Staff Software Engineer

Snow Planet

10 - 15 years

6 - 9 Lacs

hyderabad

Posted:1 day ago| Platform:

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Skills Required

supply chain remediation backend github gcp mysql javascript open source distribution system monitoring

Work Mode

Work from Office

Job Type

Full Time

Job Description

Build AI-native systems
: Use AI-assisted development tools (e.g. Cursor, GitHub Copilot, Windsurf) to architect, code, and scale systems at the core of ServiceNow s cloud.
Design for agents
: Develop distributed systems and APIs that are legible to both human and AI agents, enabling autonomous monitoring, remediation, and scaling.
Collaborate with AI agents and humans
: Leverage AI copilots for design reviews, documentation, and test generation. Experiment with delegated agent workflows and LLM-integrated pipelines.
Own delivery end-to-end
: From requirements and design to implementation, testing, observability, and continuous delivery with AI in the loop.
Drive engineering enablement
: Help establish best practices for AI-native development and contribute to the internal evolution of our software supply chain and toolchain.
Continuously evolve your skills
: Use structured prompting, model fine-tuning, and feedback loops to co-evolve with rapidly advancing AI capabilities.

To be successful in this role you have:

Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AIs potential impact on the function or industry.
10+ years
of backend software engineering experience in a systems or platform role; experience in SaaS or hyperscale environments preferred.
Proficiency in Java
or another OO language; comfort with full-stack development including JavaScript and modern UI frameworks (React, Angular, Vue).
Strong foundation in distributed systems
, scalable architectures, API design, and infrastructure as code.
Experience with cloud ecosystems
like AWS, Azure, or GCP, and tools such as Kafka, RabbitMQ, Postgres, MySQL, or equivalent.
Experience
leveraging or critically evaluating how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI s potential impact on functions or industries.
Experience
influencing technical direction across multiple teams or large-scale projects
Experience
using AI productivity tools such as Windsurf, Cursor, etc., is a plus.

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