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Our mission is to craft clean code and practical solutions with precision and purpose. We foster a dynamic culture rooted in strong engineering, a sense of ownership, and transparency, empowering professionals to make a substantial impact in the software industry.\nProject scopeAccelerating critical infrastructure initiatives for a global logging platform powering analytics, business metrics, and accurate debugging across AWS, Azure, and GCP in 70+ regions. The architecture process covers structured logs (LumberJack), log delivery (Woodchuck), logging agents, and unstructured logs (Sawmill).\nKey delivery areas include automating and standardizing region-to-region migrations, provisioning end-to-end multi-cloud environments via Infrastructure-as-Code and AI acceleration, and enhancing the scalability and reliability of high-throughput log delivery systems\n\nTech stackC++, Java, Scala, Rust, Go, Python, AWS, Azure, GCP, Terraform, CloudFormation, Kubernetes, Docker, Kafka, Spark, Delta Lake, eBPF, perf, strace\n\nTeam & Collaboration Model\nA dedicated core team of high-caliber software engineering experts collaborating with the client’s Observability engineering team\n\nA few perks of being with usBuilding tech communityFlexible hybrid work modelHome office reimbursementLanguage lessonsMyBenefit pointsPrivate healthcareTraining PackageVirtusity / in-house trainingAnd a lot more!Zakres obowiązków\nAutomating and standardizing zero-downtime, multi-region production migrations across multiple cloud providers\nHandling extreme throughput, low-latency processing, and high reliability for massive-scale log ingestion and streaming pipelines\nLeveraging agentic AI coding tools and IaC automation to streamline environment provisioning and minimize operational overhead\nWymagania\nProven track record matching Staff-level expertise in large-scale distributed environments (e.g., Google, Databricks, Apple, Meta).\nDeep proficiency in at least one backend language (C++, Java, Scala, Rust, Go, Python) with polyglot codebase adaptability\nHands-on experience with streaming and data processing frameworks (Spark, Delta Lake, or equivalent log pipelines)\nDemonstrated expertise in live production migrations, rollback planning, and automated parity testing\nProficiency in leveraging AI coding tools to optimize daily execution and project delivery\nStrong self-direction, strategic alignment, and high-level technical 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