Salary
≈ $31k – $82k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Principal
Overview
Company
Impact
Profile match
Concentric is a leading provider of AI-based solutions for data security that helps to identify unstructured data discovery, and monitor risk. It offers data risk report, video datasheet to secure data properly.
We're looking for engineers who have built large-scale, low-latency cloud data planes, API gateways, edge/CDN platforms, or service mesh infrastructureStrong hands-on experience with Go (preferred); Kubernetes; Envoy/Nginx/HAProxy; distributed systems; HTTP/2 and HTTP/3 (QUIC); gRPC; TLS; and cloud-native architecture is essential. The ideal candidate has experience designing high-throughput, multi-tenant, multi-region systems with a focus on performance, scalability, and reliability. Experience with SASE, SWG, Edge Networking, or AI/LLM traffic processing is a strong advantage.
Responsibilities:
- Architect, design, and build a high-performance cloud data plane that processes enterprise traffic in real time.
- Develop and optimise low-latency, high-throughput distributed systems for production-scale SaaS environments.
- Own the complete request lifecycle, including TLS termination, HTTP/2 & HTTP/3 (QUIC), gRPC, WebSockets, request routing, and response streaming.
- Design multi-tenant, multi-region cloud architecture with high availability, fault tolerance, and scalability.
- Build and optimise L7 proxy infrastructure using technologies like Envoy, Nginx, or HAProxy.
- Implement service discovery, load balancing, circuit breaking, retries, backpressure, and resiliency mechanisms.
- Lead Kubernetes-based deployments, autoscaling, rolling upgrades, and disaster recovery strategies.
- Optimise platform performance by improving latency, throughput, connection handling, and infrastructure efficiency.
- Implement observability using OpenTelemetry, Prometheus, Grafana, Datadog, and distributed tracing for production monitoring and debugging.
- Drive architectural decisions around API Gateway, Service Mesh, proxy technologies, and cloud-native infrastructure.
- Mentor engineering teams, lead technical design discussions, and establish engineering best practices.
Requirements:
- Core Technologies: Go (Preferred), Rust, C++, or Java; Kubernetes; Envoy / Nginx / HAProxy; Distributed Systems; Cloud Data Plane; HTTP/2 HTTP/3 (QUIC), and gRPC; WebSockets; TLS / mTLS; API Gateway / Service Mesh; OpenTelemetry; Prometheus; Grafana; and Datadog.
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