Asymbl, Inc. | Jaipur, Rajasthan, India

Asymbl is the workforce orchestration company bringing together workforce applications to hire human workers, digital labor strategy to onboard digital workers, and platform expertise to bring it all together. We help businesses attract, design, manage, and scale hybrid workforces that drive more meaningful business impact, faster. Workforce orchestration aligns strategy, process, and technology so the right work is done by the right worker with clarity and accountability.

We believe the future of work isn't human or digital. It's human and digital, orchestrated as one.

Position Overview

We are hiring an Infrastructure Engineer to build and run the cloud foundation behind the Asymbl Intelligence platform. You will own the infrastructure, deployment pipelines, monitoring and security that let our engineering teams ship Talent Intelligence, Slack integration and Rosa, our Agentforce-based digital worker, safely and at scale.

You keep the platform reliable, secure and cost-efficient, and you make shipping to production easy for every engineer.

Why Join Us

At Asymbl, the infrastructure you build carries AI workloads, large data sets and integrations that customers rely on every day. You will solve real problems in reliability, security and cloud cost for a platform that is growing fast.

You will work closely with our Enterprise Architect and engineering teams, with real ownership of how the platform is built and run, and the freedom to automate and improve the way we work.

Responsibilities

You will be responsible for designing,



building and operating the cloud infrastructure and delivery tooling for the Asymbl Intelligence platform, in line with the architecture and security standards set by the architecture team.

Cloud infrastructure

- Build and manage infrastructure on Google Cloud Platform and AWS using Infrastructure as Code (such as Terraform)
- Run and scale managed services such as Cloud SQL, AlloyDB, Pub/Sub, Cloud Functions, Lambda and DynamoDB
- Support infrastructure for AI workloads, including model provider access, vector storage and Vertex AI

CI/CD and developer experience

- Build and maintain CI/CD pipelines for automated testing and deployment across environments
- Manage containerised workloads (Docker, Kubernetes or Cloud Run) and environment configuration
- Give engineers fast, reliable tooling so shipping to production is routine

Reliability and monitoring

- Set up monitoring, logging, alerting and dashboards across services
- Take part in a rotating on-call schedule (including some US-hours coverage), lead incident response and root-cause analysis, and support Customer Support and Delivery teams on production issues
- Plan backups, disaster recovery and capacity, and keep runbooks and procedures documented

Security and cost

- Manage identity and access (IAM),



secrets and network security with least-privilege access
- Support security reviews, audits and compliance requirements
- Track and optimise cloud spend, with budgets and cost governance in place

Educational Qualification

- Bachelor's degree in Computer Science, Information Technology or a related field
- Relevant certifications are welcome but optional: Google Cloud Professional Cloud Architect or DevOps Engineer, AWS Certified Solutions Architect or DevOps Engineer, Certified Kubernetes Administrator
- 4 to 7 years of experience in infrastructure, DevOps, site reliability or platform engineering
- 2+ years running production workloads on Google Cloud Platform and/or AWS
- Hands-on experience with Infrastructure as Code and CI/CD pipelines
- Strong working knowledge of GCP and/or AWS core services: compute, networking, storage, databases and IAM
- Experience with Terraform or a similar Infrastructure as Code tool
- Experience with containers and orchestration (Docker, Kubernetes or Cloud Run)
- Scripting skills in Bash, Python or similar
- Hands-on experience with monitoring and observability tools
- A security-first approach and good judgement on cloud cost
- Explicit communication and comfort working with teams across time zones

Nice to Have

- Experience supporting AI or LLM workloads in production
- Experience with serverless and event-driven architectures
- Experience with compliance frameworks such as SOC 2 or ISO 27001

Asymbl is an equal opportunity employer. We welcome candidates from all backgrounds.

📌 Infrastructure Engineer (Jaipur)
🏢 ASYMBL
📍 Jaipur