About Blue Machines
Blue Machines powers large-scale, real-time Voice AI and Agentic Workflows across BFSI,
Healthcare, HRTech, and Global Enterprises.
Role: SRE & MLOps Engineer (3–6 Years Experience)
Location: Bangalore (Hybrid)
What You Will Own
1. Platform Uptime & Reliability
- Maintain 99.9%+ uptime.
- Monitor and optimize latency for voice agents.
2. Observability, Monitoring & Incident Response
- Build and maintain monitoring dashboards.
- Configure alerts; first responder for incidents.
3. MLOps & Model Provider Reliability
- Monitor STT/TTS/LLM providers.
- Manage failovers and latency SLAs.
4. Kubernetes & Infrastructure
- Manage GKE clusters, autoscaling, deployments.
5. Internal Platform Tooling
- Build automation around scaling, canaries, logs.
6. Security & Compliance
- Enforce encryption, network policies, audit support.
Requirements
You Are a Great Fit If You…
- 2–5 years SRE/DevOps/MLOps experience.
- Strong with Kubernetes, Prometheus, ELK, Redis, Pub/Sub.
- Understand streaming, SIP, WebSockets.
- Good communication and incident ownership.
Preferred Skills
- Experience with LLM pipelines, telephony, GPU, GCP.
Why Blue Machines
- Build India’s most advanced Voice AI platform.
- High-scale, low-latency engineering.
- Work with CTO’s office on reliability.
Founded in 2019, the Apna mobile app is India’s largest professional networking platform dedicated to helping India’s burgeoning working class to unlock unique professional networking, and skilling opportunities. The app is currently live in 14 cities - Mumbai, Delhi-NCR, Bengaluru, Hyderabad, Pune, Ahmedabad, Jaipur, Ranchi, Kolkata, Surat, Lucknow, Kanpur, Ludhiana, and Chandigarh. Having raised $90+ million from marquee investors like Insight Partners, Tiger Global, Lightspeed India, Sequoia Capital, Rocketship.vc and Greenoaks Capital, Apna is on a mission to enable livelihoods for billions in India. With over 10 million users, present in 14 cities and counting, and over 100,000 employers that trust the platform - India has a new destination to discover relevant opportunities.
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