Lead DevOps Engineer New

About Us:

Observe.AI is the fastest way to boost contact center performance with live conversation intelligence. Built on the most accurate AI engine in the industry, Observe.AI uncovers insights from 100% of customer interactions and maximizes frontline team performance through coaching and end-to-end workflow automation. With Observe.AI, companies can act faster with real-time insights and guidance to improve performance, from more sales to higher retention.

Observe.AI is trusted by hundreds of customers and partners, including Pearson, Accolade, Group 1 Automotive, Southeast Trans, and Public Storage. Raised our $125 million Series C led by Softbank Vision Fund 2 with participation from Zoom Video Communications, Inc., brings our total funding to date to $213M, with investments from Menlo Ventures, Next47, NGP Capital, Emergent Ventures, Scale Ventures, Nexus Ventures, and Y-Combinator.

The Opportunity:

We are an AI-driven company pushing the boundaries of innovation with cutting-edge machine learning and AI models. Our infrastructure is at the core of our AI workflows, and we are looking for a Tech Lead - DevOps to drive our AI infrastructure's reliability, scalability, and performance.

What You Will Do as a Lead DevOps Engineer :

• Manage self-hosted Infra stack: Lead the transition from managed services to self-hosted Elasticsearch, Prometheus, and other critical infrastructure components to optimize performance and cost.
• Optimize AI Infrastructure: Work closely with ML engineers and data scientists to deploy and scale AI/ML models efficiently, ensuring high availability and low-latency inference.
• Infrastructure Scalability & Reliability: Design and implement scalable, fault-tolerant systems capable of handling large-scale AI workloads, distributed training, and high-throughput data pipelines with the help of IAAC. Automate the IAAC code for faster and 100% automated cluster builds.
• Technology Evaluation & Implementation: Continuously assess and introduce new technologies to enhance automation, reliability, and security in AI model deployment and training pipelines.
• Observability & Monitoring: Implement and enhance monitoring, logging, and alerting strategies using Prometheus, Grafana, ELK, OpenTelemetry, etc.
• Security Best Practices: Implement security measures for AI data pipelines, model storage, and cloud infrastructure.
• Mentorship & Best Practices: Set high standards by implementing best practices in DevOps and MLOps, mentoring team members to raise the technical bar.

Who you are:

• 8+ years of experience in DevOps, SRE, or Cloud Infrastructure roles, preferably in AI or data-intensive environments.
• Strong Kubernetes (EKS, AKS preferred ) expertise for deploying AI workloads and managing GPU & non-CPU clusters.
• Experience with self-hosting services like Elasticsearch, Prometheus, Grafana, Kafka, etc.
• Hands-on expertise in Infrastructure as Code (Terraform).
• Deep understanding of cloud platforms (AWS, Azure, GCP) and AI-focused services like AWS Sagemaker, Vertex AI, or Azure ML.
• Strong automation and scripting skills in any of these languages: Python, Bash, or Go.
• Experience in CI/CD tools (Jenkins, GitHub Actions, ArgoCD, etc.) with a focus on AI model deployment.
• Strong leadership and mentorship skills to guide DevOps and ML teams.

Nice to have:

• FinOps expertise for optimizing GPU and AI cloud compute costs.
• Familiarity with service meshes (Istio, Linkerd) and API gateways.
• Knowledge of compliance frameworks (SOC2, ISO 27001, etc.).

Why join us?

• Work at the intersection of AI and cloud infrastructure, solving real-world AI scaling challenges.
• Collaborate with AI researchers and ML engineers to optimize AI model deployment.
• Competitive salary, benefits, and opportunities for career growth.
• Flexible work environment with a cutting-edge tech stack.

About the Team:

Our DevOps team is a dynamic group of skilled engineers operating in a fast-paced Agile environment. We manage a robust multi-region infrastructure across the globe, leveraging AWS, Kubernetes, and Harness for efficient deployments and seamless application runtime management.

Collaboration is at our core, with daily stand-ups and bi-weekly sprints ensuring alignment and continuous progress. Innovation thrives here; team members are encouraged to experiment with new technologies and share ideas that drive impactful solutions.

We foster growth through mentorship programs, regular skill development workshops, and ample career advancement opportunities.

So, if you are driven and entrepreneurial, passionate about SaaS, and looking to make a tangible difference and positive impact at a startup, we encourage you to apply.

Our Commitment to Inclusion and Belonging

Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.

We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds and historically marginalized or underrepresented groups are strongly encouraged to apply.

If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply.