Induced Skill: Full-Time India Remote - MCP Servers, AI SRE & Distributed Systems Application Strategy

Automatically induced from successful execution trace on 2026-09-27T14:12:10.353470+00:00 (Critic Score: 98/100).

When to Activate

Activate this skill whenever evaluating or tailoring resumes/outreach for Full-Time India Remote - MCP Servers, AI SRE & Distributed Systems or similar roles (e.g., Senior / Staff Backend Engineer - AI, MCP Servers & Observability (INR 40L - 1.00 Cr)).

Winning Behavioral Strategy

Write in plain-text first-person Senior Engineer voice (zero em-dashes, zero markdown stars, zero AI buzzwords, company-hash rotated opening) citing concrete LTA VRLS 2.0, BlackStraw.AI, and Wolters Kluwer metrics.

Reference High-Scoring Application Pitch

Hi SigNoz Engineering Team,

I'm reaching out regarding the Senior / Staff Backend Engineer - AI, MCP Servers & Observability role. Over the past 9+ years I've led backend and cloud-native architecture across high-volume platforms, most recently leading the VRLS 2.0 modernisation at NCS/LTA where we migrated a legacy Java monolith onto Java 21, Spring Boot 3, AWS (EKS/ECS), Istio mTLS, and Kafka with KEDA autoscaling.

Alongside core distributed systems work (cutting redundant API calls by ~40% during our Angular 13 to 18 upgrade and replacing 15-minute batch jobs with real-time Kafka streams at BlackStraw.AI), I've been hands-on integrating Spring AI, RAG pipelines, and MCP tool servers into production Java services.

I am based in India and available immediately for 100% remote engagement (either via Global B2B contract or full-time through India EOR) with full timezone overlap. Happy to walk through our VRLS 2.0 and Kafka architecture anytime.

Best regards,
Meena Kannan
+91 97893 02084 | meenakannan92@gmail.com | linkedin.com/in/meena-kannan-mk