Product Engineer – Platform reliability

Reposted 2 Days Ago
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Pune, Mahārāshtra
In-Office
Entry level
Artificial Intelligence • Automotive • Information Technology • Software
The Role
Responsible for building reliability and scalability for systems, defining SLIs and SLOs, and automating operations. Work with developers on system insights and advocate for reliability in SDLC.
Summary Generated by Built In

About the Role

As a Site Reliability Engineer (SRE), you will be responsible for building the reliability, scalability, and automation foundation for our systems. As the first SRE hire, you will not only be hands-on in ensuring system health and performance but also shape our reliability culture and engineering best practices as we scale.

What You Will Do

  • Align our platform’s behaviour in production with our ambitions and customer expectations by defining, monitoring, and maintaining Service Level Objectives (SLOs), Service Level Indicators (SLIs), and error budgets

  • Proactively identify, prioritize and eliminate single points of failure to ensure system resilience across critical workflows.

  • Pioneer the use of LLMs and AI agents to intelligently analyze logs, metrics, and automate root cause analysis.

  • Work at the intersection of CI/CD and IaC to automate operations and enable seamless disaster recovery.

  • Partner closely with developers to empower them with real-time insights about the systems they are working on, while also advocating automation and reliability in the SDLC..

  • Drive blameless postmortems after incidents, to support the team in improving its processes continuously and help us stay as close as possible to seamless operations.

Who you are

You are passionate about making systems scale reliably, and excited to put this expertise at the service of engineering companies pushing the limits of physical product innovation with AI. You bring:

  • Strong background in distributed systems at scale, on cloud, and on-prem HPC infrastructure

  • You hate solving the same problem twice and automate everything you can.

  • You are convinced observability is at the root of every stable system, and you know how to design and build it.

  • A deep understanding of programming, OS, and system architecture, enabling you to quickly connect the dots in case ofan issue.

  • A holistic understanding of systems and their impact, combined with excellent communication skills, to prioritize solutions effectively and informing stakeholders effectively in case of an issue.

You get

  • Work with a world-class technology team – our engineers are top-notch, and we always aim for excellence.

  • Benefit from a competitive salary and rewarding opportunities as we continue to scale.

  • Thrive in a collaborative, multicultural environment where your work is visible and recognized.

  • Develop professionally alongside talented colleagues who share knowledge freely and support one another.

  • Make a global impact by helping customers shift to AI-assisted design, making innovation faster, smarter, and more sustainable.

  • Balance life and work with a hybrid model (40% remote) and flexible hours—we care about results, not rigid schedules.

We're proud to be an equal opportunity employer, and we're committed to building a diverse and inclusive environment where you can thrive.

Top Skills

AI
Ci/Cd
Distributed Systems
Iac
Llms
Observability
Os
Programming
System Architecture
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The Company
HQ: Lausanne
91 Employees
Year Founded: 2018

What We Do

Neural Concept is revolutionizing engineering with AI.
We provide a leading end-to-end platform that places AI at the center of the product development process, helping engineers design faster, smarter, and better. Our Engineering Intelligence platform empowers teams to build and deploy AI-driven workflows that drastically shorten development cycles, boost design quality, and increase competitiveness — all while embedding the team’s know-how into the tools they use every day.

Spun out from EPFL in 2018, Neural Concept works with over 70% of the world’s largest OEMs and 40 of the top 100 Tier-1 suppliers.
Neural Concept is backed by Forestay Capital and the D.E. Shaw group.

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