Staff Software Engineer, Site Reliability

Posted 21 Hours Ago
Be an Early Applicant
Bengaluru, Karnataka
Senior level
Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Software
The AI copilot that takes the friction out of work.
The Role
As a Staff Site Reliability Engineer, you will architect and manage AI cloud infrastructure at Moveworks, focusing on building resilient, secure systems to support rapid feature releases. Responsibilities include enhancing system observability, improving debugging capabilities, and leading technical projects for distributed systems.
Summary Generated by Built In
Who We Are 

Moveworks is the universal AI copilot for search and automation across all your business applications. We give employees one place to go to find information and get support while reducing costs for your business. The Moveworks Copilot is powered by an industry-leading Reasoning Engine that uses a combination of public and proprietary language models to understand employee queries, then build and execute multi-step plans that achieve them. It does this by linking into systems (like ITSM, HRIS, ERP, identity management, and more) with native and custom-built integrations that turn natural language into powerful automations for employees.  

The world’s most innovative brands like Databricks, Broadcom, Hearst, and Palo Alto Networks trust Moveworks to eliminate repetitive support issues, deliver instant knowledge, and empower employees to work faster across applications.

Founded in 2016, Moveworks has raised $315 million in funding, at a valuation of $2.1 billion, thanks to our award-winning product and team. In 2023, we were included in the Forbes Cloud 100 list as well as the Forbes AI 50 for the fifth consecutive year. We were also recognized by the 2023 Edison Awards for AI Optimized Productivity, and were included on Fast Company's Most Innovative Companies list for 2024! 

Moveworks has over 500 employees in six offices around the world, and is backed by some of the world's most prominent investors, including Kleiner Perkins, Lightspeed, Bain Capital Ventures, Sapphire Ventures, Iconiq, and more.

Come join one of the most innovative teams on the planet!

About The Job

Site Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, distributed, fault-tolerant systems.

We are looking for a passionate Staff Software Engineer, Site Reliability to join our team. As the founding member of the SRE team at Moveworks in Bengaluru, you will be responsible for architecting and managing Moveworks AI cloud infrastructure and strategy. As Moveworks grows fast, this team will be tasked with designing and operating resilient and secure cloud and infrastructure that allows our products to operate reliably and our engineering teams to build and release customer facing features very rapidly.

You will get to work closely with platform, infrastructure, machine learning, search, data, DevOps, and frontend teams, and build systems that allow these teams to ship high quality software at a rapid pace. This might include building/improving CI/CD pipelines, supporting blue/green deployments, creating/managing canary environments and ensuring that the likelihood of bad code getting into production is minimized.

What Will You Do?

  • Improve observability and reliability of Moveworks systems by managing/building monitoring and alerting infrastructure.
  • Improve debuggability -  build / manage systems that help debug issues in production and analyze performance.
  • Architect, design, and execute projects to improve the reliability of our applications and systems.
  • Be a technical lead for the adjacent teams in Bengaluru.

What You Bring To The Table?

  • Bachelor’s degree in Computer Science or a related field.
  • 8+ years of experience in software engineering / SRE with significant experience in Python / Go.
  • 2+ years of experience leading projects and designing, analyzing, and troubleshooting distributed systems.
  • Experience in managing/building infrastructure systems for deployment and management of workloads in AWS. Familiarity with Jenkins, Terraform, Ansible, Helm, etc. 
  • Experience with Azure would be a plus.

*Our compensation package includes a market competitive salary, equity for all full time roles, exceptional benefits, and, for applicable roles, commissions or bonus plans. 
Ultimately, in determining pay, final offers may vary from the amount listed based on geography, the role’s scope and complexity, the candidate’s experience and expertise, and other factors.

Moveworks Is An Equal Opportunity Employer
*Moveworks is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other characteristics protected by law.

Top Skills

Go
Python
The Company
HQ: Mountain View, CA
485 Employees
Hybrid Workplace
Year Founded: 2016

What We Do

The Moveworks Copilot unifies every business system, giving employees one place to go to find information and automate tasks, increasing employee productivity by simplifying work. Powered by a genAI infrastructure that leverages the world’s most advanced LLMs and our proprietary MoveLM models, the Moveworks Copilot understands employee requests, devises intelligent plans, then executes actions to get work done across application boundaries.

The world’s most recognizable brands like Databricks, Broadcom, Hearst, and Palo Alto Networks trust Moveworks to automate repetitive support issues, to provide a universal search interface, and for common use cases across different applications. Learn more at Moveworks.com.

Why Work With Us

Company culture is difficult to distill. Sure, we could tell you about our 5-star rating on Glassdoor, or about how we were named to the Forbes AI 50 list. But the truth is that no talking point can capture what it’s like to work alongside this team every day, as we continue to push the boundaries of what’s possible with enterprise AI.

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