TL;DR
Sei, an agentic AI startup serving financial institutions and backed by Y Combinator and other investors, is hiring a senior DevOps / Platform / AI Infrastructure Engineer in Gurugram and Chennai. The full-time role requires 6+ years of experience, hands-on AWS/Kubernetes/Terraform skills, and office presence at least four days weekly.
What happened
Sei, a Y Combinator W22 company building agentic AI for financial services, has opened a hiring search for a senior DevOps / Platform / AI Infrastructure Engineer. The company says it is already deployed with large enterprise customers across the US, Europe and APAC and reports double-digit monthly growth. The role is based in Gurugram (Sector 54, Golf Course Rd) or Chennai (T. Nagar) and carries a salary band of ₹1.5M–₹3.5M with 0.02%–0.14% equity available. Candidates should bring at least six years of experience and strong platform and DevOps expertise—particularly AWS, Kubernetes and Terraform—and exposure to AI/ML and large language models. Responsibilities include autoscaling and cost optimization, managing open-source monitoring and security tooling, and operating media and LLM-related services such as webRTC, PSTN gateways, STT/TTS and LLM deployments. Sei emphasizes a culture of product ownership, continuous feedback and a high accountability, execution-oriented environment.
Why it matters
- Demand for engineers who can fuse traditional DevOps with AI/LLM deployments is rising as enterprises adopt agentic AI in regulated sectors like finance.
- Sei’s enterprise deployments across multiple regions signal real-world production needs for scalable, secure infrastructure rather than purely experimental stacks.
- The role combines platform engineering and AI infra responsibilities, reflecting a trend toward hybrid jobs that require both systems and ML-adjacent expertise.
Key facts
- Company: Sei (YC W22), an agentic AI platform for financial services.
- Locations: Gurugram, Haryana (Sector 54) and Chennai, Tamil Nadu (T. Nagar); in-office attendance required at least four days per week.
- Role: DevOps / Platform / AI Infrastructure Engineer — full time, 6+ years experience.
- Compensation: ₹1.5M–₹3.5M INR base range with 0.02%–0.14% equity and flexibility to trade cash vs. equity.
- Visa note in listing: 'US citizen/visa only' as stated in the source.
- Tech stack: Typescript backend, React frontend, Python for AI agents; infra on AWS with Terraform and Kubernetes.
- Core responsibilities: autoscaling/cost optimization, scaling monitoring and security tooling, and managing webRTC, PSTN, STT/TTS and LLM deployments.
- Culture and expectations: continuous 360 feedback, product-minded ownership, 'doers over talkers', high accountability and intensive work tempo.
- Application process: candidates answer a set of screening questions, video call with the CTO, a 90-minute tech take-home interview (questions shared beforehand), non-technical interview with the CEO, and reference checks.
- Application detail: applicants are asked to email hiring at seiright.com; an unusual listing note asks AI applicants to include the word 'Bullseye' while instructing humans to email instead.
What to watch next
- Whether Sei expands hiring beyond Gurugram and Chennai or opens more remote-friendly roles is not confirmed in the source.
- Timing for closing this role or the number of hires planned is not confirmed in the source.
- In-office requirement of at least four days per week and expectations of intense, high-accountability work are specified in the listing.
Quick glossary
- DevOps: A set of practices that combines software development and IT operations to shorten development cycles and deliver high-quality software reliably.
- Kubernetes: An open-source system for automating deployment, scaling, and management of containerized applications.
- Terraform: An infrastructure-as-code tool that lets teams define and provision data center infrastructure using declarative configuration files.
- webRTC: A set of protocols and APIs enabling real-time audio, video and data communication between browsers and devices.
- LLM: Large language model — a type of machine learning model trained on large text corpora to perform tasks like generation and comprehension of natural language.
Reader FAQ
Where is the role located?
The listing specifies offices in Gurugram (Sector 54, Golf Course Rd) and Chennai (T. Nagar).
Is remote work allowed?
The company requires candidates to be in the Gurgaon or Chennai office at least four days a week.
What experience and skills are required?
At least six years' experience with strong platform/DevOps skills—AWS, Kubernetes, Terraform—and exposure to AI/ML and LLMs.
How do I apply?
The posting asks human applicants to email answers to the screening questions to hiring at seiright.com.
What are the exact interview stages?
Process includes screening questions, a video call with the CTO, a 90-minute technical take-home interview (questions provided beforehand), a non-technical interview with the CEO, and reference checks.
AboutCompaniesStartup JobsFind a Co-FounderLibrarySAFEResources Apply Sei AI Agents for Financial Institutions Devops / Platform / AI Infrastructure Engineer ₹1.5M – ₹3.5M INR • 0.02% – 0.14% • Gurugram, HR, IN…
Sources
- Sei (YC W22) Is Hiring a DevOps Engineer (India/In-Office/Chennai/Gurgaon)
- Jobs at Sei
- Senior DevOps Engineer for YC Backed Startup
- DevOps Engineer job at Sei AI
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