Abhishek Barkade

Backend Engineer

Pune, Maharashtra, India3 yrs 3 mos experience

Key Highlights

Achieved 527% GraphQL API throughput improvement.
Reduced Docker image size by 91%, saving $400/month.
Designed distributed systems with zero data loss.

Stackforce AI infers this person is a Backend Engineer specializing in SaaS with a focus on distributed systems and microservices.

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Skills

Core Skills

Node.jsTypescriptDockerCloud ArchitectureSystems DesignGraphql FederationEvent-driven ArchitectureDatabase ManagementSecurityContinuous Integration And Continuous Delivery (ci/cd)Monitoring

Other Skills

AWSEC2S3APIGraphQLMongoDBKafkaRedisKeycloakJWTGitHub ActionsNew RelicVue.jsComponent ArchitectureTechnical Documentation

About

I build backend systems that don't break at scale. Over the past 3 years I've designed and operated distributed infrastructure across 450+ microservices — delivering a 527% GraphQL API throughput improvement (950 → 5,950 req/s), zero-data-loss Kafka pipelines processing 100k+ events/day over 12 months, and an 82% MongoDB query latency reduction (1.8s → 320ms). At Metronlabs, reduced Docker image size by 91% (4GB → 350MB), cutting deployment times by 70% and saving $400/month in container registry costs. Stack: Node.js · TypeScript · Kafka · GraphQL Federation · NestJS · Fastify · PostgreSQL · MongoDB · Redis · Docker · Kubernetes (AKS) · AWS · Azure · GitHub Actions · ArgoCD · New Relic Apollo GraphQL Certified (Professional + Associate). Contributed a merged PR to Hoppscotch (40k+ ⭐ GitHub). Spot Award for Technical Excellence (Bridgenext, 2024) — recognized for delivering 527% GraphQL API throughput improvement within 7 days, resolving a critical production scaling bottleneck. Currently open to senior backend / platform engineering roles at remote-first companies — particularly those building at scale in logistics, fintech, SaaS, or developer tooling. IST (UTC+5:30) — available for US EST and EU timezone overlap. Let's connect if you're building something interesting.

Experience

3 yrs 3 mos

Total Experience

1 yr 6 mos

Average Tenure

2 mos

Current Experience

Uas international trip support

Senior Backend Engineer

Mar 2026 – Present · 2 mos · Dubai, United Arab Emirates · Remote

Metron security

Software Engineer

Sep 2025 – Feb 2026 · 5 mos · Pune District, Maharashtra, India · Hybrid

Enterprise office resource management platform serving organizations with desk booking, meeting room management, and asset tracking.
Reduced Docker image size by 91% (from 4GB to 350MB) by implementing multi-stage builds, Alpine base images, and removing unnecessary dependencies, cutting deployment times by 70%, and reducing container registry storage costs by $400/month.
Standardized AWS infrastructure deployment on EC2 with autoscaling policies based on CPU utilization (60% target threshold), implemented S3 lifecycle policies for cost-effective asset storage, and configured IAM roles following least-privilege principles, reducing infrastructure costs by 18%.
Established production observability practices by setting up monitoring dashboards for API latency metrics, error rates, and system health indicators, improving incident detection and response capabilities.

Node.jsTypeScript

Bridgenext

Software Development Engineer

Jan 2023 – Sep 2025 · 2 yrs 8 mos · Pune District, Maharashtra, India · Remote

Enterprise logistics platform with 450+ microservices ecosystem processing millions of shipment events monthly.
Scaled GraphQL Federation API throughput by 527% (950 → 5,950 req/s) via DataLoader batching, schema optimization, and MongoDB indexing — enabling 5x traffic growth without additional infrastructure.
Architected Kafka pipelines processing 100k+ daily events with warehouse-based partitioning, 3-tier exponential backoff (1s/10s/100s), DLQ handling, and Redis idempotency — achieving zero data loss over 12 months.
Achieved 99.9% service availability via circuit breakers, backpressure handling, and idempotency mechanisms — eliminating 98% duplicate events and reducing customer incidents by 60%.
Scaled MongoDB to 1M+ documents using tenant-based hashed sharding and replica sets — reducing p95 query latency from 1.8s to 320ms (82% improvement).
Secured APIs using Keycloak with RBAC, JWT tokens, and rate limiting across all microservices.
Deployed on Azure AKS using Helm + ArgoCD with HPA (CPU 70%, memory 80%) — reducing infrastructure costs by 15%.
Built GitHub Actions CI/CD with multi•stage Docker builds and automated rollback — reducing deployment time from 45 min to 12 min (73% reduction).
Enhanced observability with New Relic APM and distributed tracing — reducing MTTR from 80 to 50 minutes (25% improvement).
Mentored 3 junior engineers, led design reviews, and established code review standards improving team productivity.