Devops and Site Reliability Engineer | Lyzr AI · Teeming.ai
Lyzr AI
Lyzr helps enterprises automate complex workflows and entire job functions by building reliable, private, self-learning AI agents. The platform is an enterprise AI agent infrastructure (B2B SaaS and…
AI AgentsAutomationCloud DeploymentEnterprise AIGenerative AIHybrid AIOrganizational General IntelligenceResponsible AIlyzr.ai
Lyzr AI
Lyzr helps enterprises automate complex workflows and entire job functions by building reliable, private, self-learning AI agents. The platform is an enterprise AI agent infrastructure (B2B SaaS and…
AI AgentsAutomationCloud DeploymentEnterprise AIGenerative AIHybrid AIOrganizational General IntelligenceResponsible AIlyzr.ai
HQJersey City, US
Team Size169
Open Jobs8
Total Funding$25M
Latest Fundraiselast month
TL;DR
What they do: Enterprise AI agent infrastructure platform for building, deploying, and governing production AI agents
Headquarters: Jersey City, New Jersey
Founded: 2023
Notable investors: Rocketship.vc, Accenture Ventures, GFT Ventures, Firstsource, Plug and Play, BGV, Partnership Fund for New York City, Arka
Total funding (reported): ≈ $10.5M–$14.5M (multiple sources report rounds in this range)
Company Overview
Problem Domain
Automating complex workflows and end-to-end job functions in regulated enterprise environments (BFSI, telco, BPO, content, GTM functions).
Founded
2023
Industry
Technology, Information and Internet
Tech Stack
Agent Development Kit (ADK)
Low-code agent studio
SaaS and on-prem / customer VPC deployment models
Responsible AI / compliance integrations (GDPR, SOC 2, HIPAA)
Funding Track Record
Series A- 2025-10-29
8,000,000
Company blog post dated Oct 29, 2025 announces Series A led by Rocketship.vc with participation from multiple investors.
- 2026-02
10,500,000
Dealroom reported a $10.5M raise (Feb 2026).
Investor Signal
“Participation from Accenture Ventures and a syndicate including GFT Ventures, Firstsource, Plug and Play, BGV, Partnership Fund for New York City, and Arka indicated on company materials.”
Administrative ServicesData and AnalyticsDeepTechFinanceSoftware
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Administrative ServicesData and AnalyticsDeepTechHealthHR and RecruitingInformation TechnologyProfessional ServicesSoftware
$61M
**Devops and Site Reliability Engineer
Experience : 2-5 Years**
Location: Onsite -HybridAbout Lyzr
At Lyzr, we aren't just building infrastructure; we’re architecting the backbone of the GenAI revolution. We are looking for a Cloud Reliability & DevOps Architect who thrives at the intersection of automation and operational excellence.
Role Overview
We are looking for a high-agility Cloud Reliability & DevOps Architect to join our engineering team. This is a hybrid role designed for a professional who sits at the intersection of infrastructure automation (DevOps) and operational excellence (SRE).
You will be responsible for architecting resilient multi-cloud environments, automating complex delivery pipelines, and ensuring the absolute reliability and cost-efficiency of our production systems. From writing modular Terraform code to leading deep-dive Root Cause Analysis (RCA), you will own the entire lifecycle of our infrastructure.
Key Responsibilities
Technical QualificationsMust-Have Skills:
Experience: 2–5 years in SRE, DevOps, or Cloud Engineering roles.
Cloud Mastery: Hands-on experience managing production workloads in AWS (Expert level) and Azure.
IaC Proficiency: Expert-level knowledge of Terraform (State management, Modules) and CloudFormation.
Scripting: Strong automation skills in Python and Bash.
Monitoring: Hands-on experience with Grafana, Prometheus, or Datadog.
Preferred Qualifications
Containers: Experience with Kubernetes (EKS/AKS) and orchestration.
Certifications: HashiCorp Certified: Terraform Associate or AWS/Azure DevOps Professional.
Data: Understanding of database administration (PostgreSQL, MySQL, or DynamoDB).
Work Environment & Soft Skills
Global Flexibility: We support clients across IST, GMT, and EST. You must be flexible with working hours for deployments and on-call rotations.
Detective Mindset: You are relentless in debugging and won't stop until you find the root cause of a distributed system issue.
Financial Awareness: You treat cloud resources as real money and take pride in running a lean, efficient infrastructure.
Tech Agility: You are not married to one tool; you use the best tool for the job and pivot as technology evolves.
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IaC & Automation Architecture
Advanced Development: Architect and maintain complex infrastructure using Terraform (multi-cloud) and AWS CloudFormation.
Modular Design: Create reusable, version-controlled modules to standardize deployments and eliminate code duplication.
Eliminate Toil: Apply SRE principles to automate repetitive operational tasks and manual provisioning through Python, Bash, or Go.
Multi-Cloud Operations & Connectivity
Core Management: Optimize production environments across AWS (EC2, EKS, Lambda, VPC) and Azure (VMs, VNet, Functions).
Cross-Cloud Networking: Design secure connectivity solutions between disparate cloud providers and on-premise systems.
System Reliability & Observability
End-to-End Ownership: Own the health of production systems, ensuring High Availability (HA) and meeting strict SLOs/SLIs.
Incident Management: Lead the RCA process for outages and implement architectural changes to prevent recurrence.
Observability Frameworks: Build and maintain comprehensive monitoring and alerting (Prometheus, Grafana, ELK Stack, CloudWatch) for early anomaly detection.
Security, Compliance & FinOps
Security by Design: Build infrastructure with strict IAM roles, secret management (HashiCorp Vault/KMS), and automated compliance checks (SOC2/ISO).
Cost Optimization: Actively drive FinOps initiatives—rightsizing instances, managing Reserved/Spot instances, and identifying idle resources to reduce waste.
Disaster Recovery: Design and lead periodic DR failover drills to ensure business continuity.
CI/CD & Performance Tuning
Pipeline Ownership: Design end-to-end CI/CD pipelines (GitHub Actions, GitLab CI, or Jenkins) for seamless delivery.
Self-Healing Systems: Implement auto-remediation workflows to resolve common system issues without human intervention.