Senior Platform Engineer

Experience: 5.00 + years
Salary: Confidential (based on experience)
Expected Notice Period: 7 Days
Shift: (GMT+05:30) Asia/Kolkata (IST)
Opportunity Type: Remote
Placement Type: Full Time Permanent position(Payroll and Compliance to be managed by: AI Agents Automating Business Workflows)
(*Note: This is a requirement for one of Uplers' client - AI Agents Automating Business Workflows)
What do you need for this opportunity?
Must have skills required:
AI Agents, ArgoCD, CI/CD, DeepEval, Enterprise Security, LLMs, rag, Regulated industry, STT/TTS, Temporal, WebRTC, Cloud Infrastructure, Distributed Systems, Observability, Kubernetes, Python, Websockets, Voice AI
AI Agents Automating Business Workflows is Looking for:
About The Role
While Agent Engineers own individual client deliveries, you own the platform underneath all of them: the runtime that agents execute on, the voice infrastructure that keeps live calls fast and stable, the enterprise capabilities that get us through security reviews, and the intelligence layer that turns millions of conversations into insight. This is the highest-leverage engineering seat in the company: every improvement you ship reaches every client at once.
You''''ll work directly with the founder on architecture and own your decisions end to end, from design through production and the incident channel.
What you''''ll do
Build the agent platform primitives. Design and evolve the runtime, orchestration engine, and the systems behind Agent Studio: how agents are defined from written procedures, how they reason and take actions, and how guardrails make out-of-bounds behavior impossible rather than unlikely. Building agents is its own engineering discipline, and you''''ll be building the tooling that discipline needs.
Own the voice infrastructure. Real-time audio streaming over WebSockets, STT and TTS integration at low latency, and the hard parts of live conversation: interruptions, disconnects, transfers, and telephony integrations that pick up and place calls reliably at growing volume.
Form the foundation of enterprise trust. Clients hand us regulated conversations with their own customers. You''''ll build and uphold the capabilities that make that possible: RBAC, access management, audit logs, data isolation, and integrations that embed into complex client environments while surviving their security reviews.
Build the evaluation layer. We believe evaluation methodology, not model capability, is the bottleneck, and you''''ll own the system that proves it: the DeepEval-driven suite that replays real conversations against every change, simulation of the scenarios we haven''''t seen yet, and experimentation frameworks that let us A/B test agent behavior and make changes with evidence instead of intuition. Every release gates on what you build here.
Build the observability layer. Observability goes beyond logging. You''''ll extend Reflect so that every agent decision is traceable: what the system knew at each moment, which instructions the model was given, and why it responded the way it did. Add proactive monitoring that surfaces regressions, drift, and new conversation patterns before a client notices, and turn millions of calls into insight the whole company acts on.
Close the feedback loop. Connect what evaluation and observability find back into how agents improve: recurring failure modes become new eval cases, production patterns reshape procedures, and agents get measurably better over time.
Keep the platform fast, reliable, and boring to operate. Own Kubernetes, ArgoCD-driven GitOps deployments, CI/CD, and observability with SigNoz. Build the self-serve infrastructure that lets the rest of engineering ship without waiting on you, and lead incident response and postmortems when things break.
What we work with
Python with FastAPI, PostgreSQL, Temporal for background workflows, WebSockets holding real-time conversations open, and STT and TTS providers on the speech side, with LLMs via OpenAI and similar underneath.
Everything runs on Kubernetes with ArgoCD-driven GitOps deployments, SigNoz for observability, DeepEval driving the eval suite our CI runs before anything reaches production, Ory and OpenFGA for identity and access management, and a lot of beautifully built internal agent architecture underneath.
What you''''ll bring
5+ years of hands-on experience building and operating production systems, with strong backend and distributed systems fundamentals.
Proven experience with cloud platforms, infrastructure as code, and container orchestration: you''''ve run Kubernetes in production, not just in a tutorial.
Real-time systems depth: you understand latency budgets, streaming, backpressure, and what makes a live audio conversation different from a request-response API.
Experience with observability tooling (SigNoz, OpenTelemetry, or similar) and with incident response: you''''ve been paged, found root cause, and made the pager quieter afterward.
You care that a system stays reliable, secure and maintainable as it grows, and the judgment to know when boring technology is the right answer.
High agency: you drive outcomes in a high-autonomy environment, find creative ways around obstacles, and don''''t wait to be told what matters.
Degree in computer science or a related field, or equivalent professional experience.
Even better...
Experience building enterprise features: SSO, RBAC, IAM, audit logs, data isolation, or compliance-adjacent systems
Production experience with LLMs, agent frameworks, retrieval, or evaluation systems
Telephony or streaming audio experience: Twilio, WebRTC, SIP, or contact center integrations
Experience with large-scale data systems, analytics platforms, or ML-powered product features
Experience building developer platforms, SDKs, or internal tooling other engineers love
Leadership experience on technical projects or teams
Our values
Trust: We do the right thing, especially when nobody is checking. Clients hand us regulated conversations with their own customers, and we earn that every day.
Transparency: We write things down, share the real numbers, and say "I don''''t know yet" out loud, with each other and with clients.
Technically best solution: We choose what''''s right, not what''''s easiest or trendiest. When we notice we got it wrong, we fix it.
Decisiveness: We decide quickly with the information we have, commit, and correct course fast when reality disagrees.
Simplicity: We keep systems, processes, and words simple. Complexity is a cost we pay only when it clearly buys something.
How to apply for this opportunity?
Step 1: Click On Apply! And Register or Login on our portal.
Step 2: Complete the Screening Form & Upload updated Resume
Step 3: Increase your chances to get shortlisted & meet the client for the Interview!
About Uplers:
Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.
(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).
So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Work arrangement
Yes