Senior Backend Engineer

Kalder • New York, NY

84d

About The Position

We’re looking for a Senior Backend Engineer who loves system design & architecture, writes high-performance Go, and knows how to take services from laptop to production with efficient, reliable deployments. You’ll also use AI coding tools to accelerate delivery while maintaining craftsmanship.

Requirements

• 5–8+ years building production services; 3+ years with Go in performance-sensitive systems.
• Strong system design skills: domain modeling, API boundaries, microservice vs. modular monolith trade-offs.
• Deep understanding of deployment and runtime efficiency: containers (Docker), orchestration (Kubernetes or equivalents), CI/CD, build pipelines, and runtime tuning.
• Proficiency with transactions and data integrity; comfortable with migrations (Atlas, Flyway, Liquibase, or similar).
• Experience with gRPC/REST, streaming or async workloads (Kafka/NATS/SQS), and idempotent processing.
• Practical observability: Prometheus/Grafana, OpenTelemetry, structured logging.
• Solid testing discipline: unit, integration (testcontainers), contract tests; familiarity with feature flags.
• Comfort using AI tooling responsibly to speed up development without sacrificing maintainability.

Nice To Haves

• Distributed systems patterns (sagas, outbox, CQRS), rate limiting, and backpressure.
• Edge/CDN and web security basics (CSP, mTLS, WAF, Cloudflare).
• Experience with cost optimization and performance budgets in cloud environments.
• Hands-on with Railway/Heroku/Vercel or AWS/GCP/Azure primitives.

Responsibilities

• Own backend services end-to-end: design, implement, test, deploy, observe, and iterate.
• Lead architecture for new features and platforms (APIs, services, data flows, queues).
• Build robust Go services (REST/gRPC) with strong concurrency, reliability, and clarity.
• Design storage models and access patterns across Postgres (or similar), Redis caches, and object stores.
• Drive operational excellence: CI/CD, zero-downtime deploys, canary/blue-green, rollbacks.
• Make systems fast and cost-efficient via profiling (pprof), tracing, and capacity planning (P50/P95/P99).
• Champion security-by-default (authn/z, JWT/OAuth2, secrets, least privilege) and observability (logs/metrics/traces).
• Use AI tools (e.g., ChatGPT, Copilot) to draft code/tests/migrations, generate scaffolding, and accelerate root-cause analysis—while upholding code quality.
• Mentor engineers; review designs and PRs with empathy and high standards.

What This Job Offers

• Career Level: Senior