Lead Software Engineer (Unique)

Ciklum

20h•Remote

About The Position

As a Lead Software Engineer (Unique), you'll become a part of a cross-functional development team engineering experience of tomorrow.

Requirements

12+ years of experience in backend, infrastructure, or data platform engineering
Strong understanding of distributed systems and high-ingestion telemetry architectures
Experience designing schemas for billion-row-scale analytical or telemetry datasets
Experience with ClickHouse or similar analytical databases (ClickHouse is a strong plus)
Expertise in SQL performance tuning and migrating data between large-scale analytical systems
Experience deploying and operating stateful systems on Kubernetes using Terraform and Helm
Practical experience with OpenTelemetry logs and traces
Familiarity with ingestion pipelines like Kafka, Azure Event Hub, or Azure Data Explorer (Kusto)
Proven ability to optimize query latency and cost for high-cardinality datasets
Proficiency in at least one major cloud provider: Azure, GCP, or AWS
Experience implementing backup/restore strategies and resolving complex performance bottlenecks
Analytical Rigor: Strong ability to deconstruct complex telemetry problems and identify core technical requirements
Commitment: Dedicated to the timely delivery of high-quality, reliable, and production-ready data platforms
Collaboration: A proactive team player who thrives in partnering with SRE and Platform teams in dynamic environments
Documentation Flair: Natural talent for creating clear, organized, and useful technical documentation and runbooks
Growth Mindset: Eagerness to learn and adapt to the evolving ClickHouse and Observability ecosystem
English Proficiency: Ability to communicate clearly in global environments and understand complex technical documentation

Responsibilities

Lead the migration of large-scale logs and distributed traces from existing Analytics Databases to ClickHouse.
Design and tune distributed ClickHouse clusters, including sharding, replication, partitioning, and storage layout.
Architect high-throughput ingestion pipelines and scalable schemas optimized for real-time telemetry workloads.
Establish monitoring, alerting, and operational best practices, including Kubernetes deployment and TTL policies.
Partner with platform and SRE teams to ensure production readiness, reliability, and security of the platform.
Document architecture decisions, performance tuning approaches, and operational runbooks for the team.