Senior DevOps/SRE Engineer - AI Platform Infrastructure
Job Description
Key Skills Required
Master these to land this role
Want to know if you're a match for this job?
About Ema: Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs.
We are backed by industry-leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley with offices in London, Bangalore, and Vancouver, Ema is at the frontier of what Agentic AI can do in production—we ship real systems that run real business processes at scale.
The Role: Build and manage the infrastructure that powers Ema's AI platform. You'll design cloud systems, automate deployments, and ensure everything scales reliably to support millions of enterprises.
What You Own:
- Build and maintain Kubernetes clusters and cloud infrastructure
- Automate infrastructure provisioning with Terraform and Ansible
- Implement CI/CD pipelines for fast, safe deployments
- Build observability systems (logging, monitoring, alerting)
- Ensure security, performance, and reliability at scale
- Support multi-tenant SaaS architecture and scaling
Qualifications:
Required:
- 4+ years of DevOps, SRE, or platform engineering experience
- Expert-level Kubernetes and containerization knowledge
- Terraform and infrastructure-as-code proficiency
- Cloud platform mastery (AWS/GCP/Azure)
- Strong systems thinking and distributed systems knowledge
- B.Tech in CS/ECE from IIT/NIT/IIIT/BITS or equivalent
Preferred:
- Multi-cloud experience
- Helm charts and deployment automation
- Monitoring tools (Prometheus, Grafana, Datadog)
- CI/CD platforms (GitHub Actions, ArgoCD)
- ML infrastructure experience
How would you rate this job post?
See what other professionals think about this role.
Similar Opportunities
More Openings at Ema
Engineering Leader - Voice, BPO, and Workforce Management
Ema
United KingdomNorth America (US and Canada) Partnerships & Alliances Leader
Ema
United StatesSenior Support Specialist (Enterprise Agentic AI)
Ema
United KingdomAI Resident / Data Resident (Internship Program)
Ema
India
Ema is a cutting-edge technology firm that is pushing the boundaries of innovation. With a strong foundation in research and development, Ema is committed to creating solutions that drive growth and transformation. The company's expertise spans across multiple domains, including artificial intelligence, data analytics, and cybersecurity. Ema's team of experts is dedicated to delivering high-quality products and services that meet the evolving needs of its customers. By leveraging the latest advancements in technology, Ema aims to make a significant impact in the industry and establish itself as a leader in the market. With a focus on customer satisfaction, Ema strives to build long-term relationships with its clients and partners. The company's mission is to empower businesses and individuals to achieve their goals through the effective use of technology. Through its innovative approach and commitment to excellence, Ema is poised to make a lasting impression in the tech industry. The company's vision is to create a better future by harnessing the power of technology to drive positive change. By investing in the latest technologies and talent, Ema is well-positioned to capitalize on emerging trends and opportunities. As the company continues to grow and evolve, it remains committed to its core values of innovation, integrity, and customer-centricity. With its strong foundation and forward-thinking approach, Ema is an exciting and dynamic company that is worth watching in the years to come.
Safety First
- Never pay for a job application.
- Do not share sensitive bank info.
- Verify the client before starting work.