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LeadFull-timeNode.jsAWSGCPKubernetesDockerRedisElasticsearchMicroservicesCI/CDGit
Salary Range
$153,000 - $207,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are seeking a Staff Engineer (Platform & Backend) who will operate primarily as a high-impact individual contributor, while also influencing engineering practices and technical direction across teams. This role is not about delivering tickets — it’s about owning mission-critical services end-to-end, driving architectural decisions, understanding customer and internal pain points, and elevating the overall technical excellence of our platform.
Key Responsibilities
- →Architect and scale the Contact Creation Engine, ensuring a single source of truth for contact data with 99.95% availability and minimal latency
- →Enhance and evolve the Search Engine ecosystem, working with Elasticsearch, Firestore, and ClickHouse to deliver fast, accurate search results at scale
- →Own and optimize cloud-native infrastructure using Docker and advanced Kubernetes (cluster management, tuning, networking, and configuration)
- →Establish technical standards, drive architecture governance, conduct design reviews, and champion engineering best practices
- →Diagnose and solve complex production issues involving latency, throughput, system contention, scaling limits, and distributed node behavior
- →Create and analyze postmortems and implement long-term fixes to prevent recurrence
- →Partner closely with Product, Platform, and DevOps teams to architect shared services and ensure platform-wide reliability
- →Mentor engineers, influence technical decisions, and guide long-term platform evolution
Requirements
- ✓8+ years in backend/system engineering roles with hands-on development
- ✓Expertise in distributed systems, microservices, event-driven architectures
- ✓Proven experience in system optimization and performance tuning
- ✓Strong hands-on skills in Docker and Kubernetes (cluster operations, tuning, networking)
- ✓Proficiency in backend languages: Node.js, Go
- ✓Strong database experience with indexing, schema design, and optimization for Elasticsearch, Firestore, ClickHouse
- ✓Understanding of caching strategies, message queues, and high-performance APIs
- ✓Cloud experience with AWS/GCP and CI/CD pipelines (Jenkins or similar)
- ✓Familiarity with observability tools such as Sentry, Grafana, ELK
