Kalder
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.
What you'll do
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 you'll bring
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 have
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. How we work
Small, senior team with high ownership and strong code review culture. Pragmatic processes: ADRs for key decisions, lightweight RFCs, automated checks in CI. "Measure first" mindset: we ship, observe, and iterate quickly.
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.
What you'll do
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 you'll bring
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 have
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. How we work
Small, senior team with high ownership and strong code review culture. Pragmatic processes: ADRs for key decisions, lightweight RFCs, automated checks in CI. "Measure first" mindset: we ship, observe, and iterate quickly.