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Build and scale the cloud platform (Enernet) that monitors 1,000+ battery energy storage systems, handling high-throughput telemetry via Kafka, TimescaleDB, and AWS IoT Core while optimizing cost, latency, and reliability.
Design and build a cloud-native healthcare data platform that integrates EHRs, wearables, and apps using Kafka, GraphQL, and FHIR standards, while leading distributed systems architecture and production operations.
DevOps engineer to automate, standardize and scale CI/CD pipelines and observability for high-load mobile games and services, using GitLab, TeamCity, Terraform, Kubernetes and monitoring stacks.
Build and maintain PHP-based SaaS features for an SMM-automation platform handling 300M+ monthly orders, using Yii2, MySQL, Redis, RabbitMQ, and Docker.
Builds and maintains ETL pipelines, data models, and AI services for a gold-mining company’s digital solutions using PostgreSQL, ClickHouse, Airflow, and NiFi.
Owns the API and inference platform for a high-throughput AI service, using Rust/C++ to deliver low-latency, distributed systems at massive scale.
Build and maintain data pipelines that power detection and analytics for a SaaS security platform, integrating APIs from Microsoft 365, Salesforce, and AI tools using SQL, dbt, ClickHouse, Databricks, and Python.
Builds and optimizes data pipelines for regulatory reporting in banks using Python, ETL tools, and big-data tech like Spark and Kafka.
Builds and maintains high-performance, event-driven IoT data pipelines in Go/Python/Rust, processing large sensor streams and integrating them with monitoring systems for industrial maintenance.
Build and scale low-latency data pipelines and microservices in Java/K8S to process billions of financial events daily, using Kafka, ClickHouse, and Spark for trade surveillance systems.
Senior Backend Engineer builds and optimizes secure, scalable AI-driven security systems in Python/Golang/Rust, using Kubernetes, distributed architectures, and DevSecOps practices for a global product serving millions.
Build and maintain scalable data pipelines and APIs for a cybersecurity ratings platform using Scala, Spark, and AWS.
Lead a team building a marketing analytics platform, reviewing code, designing containerized Python/React apps via REST APIs, and integrating AI features into a data-heavy backend on AWS.
Lead a team to design and maintain large-scale ETL pipelines and OLAP data architecture on AWS, using S3 data lakes, Athena, Airflow, and Python, while enforcing code quality and guiding senior developers.
Own and scale Vibe’s petabyte-scale data backbone, building and maintaining storage, batch and real-time pipelines with Spark, DuckDB, Trino and ClickHouse.
Maintain and optimize a high-volume ClickHouse analytics platform, design data models, and mentor engineers on database performance and best practices.
Lead a data team building AI-driven healthcare analytics for hospitals, focusing on PMSI coding and patient-stay valuation while ensuring regulatory compliance and team growth.
Owns and optimizes real-time data pipelines and analytics infrastructure for a streaming ad platform, using Python/Rust, Kafka, Spark, and ClickHouse.
Build and maintain scalable, reliable data infrastructure using ClickHouse, CockroachDB, Trino, and Kubernetes, plus AWS services and Terraform.
Build and optimize a ClickHouse-based analytics platform for a telecom client, maintaining Kafka pipelines, refactoring schemas, and mentoring teams on best practices.
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