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Staff Backend Engineer: Take Profit Trader
Build and own low-latency streaming infrastructure for a proprietary trading firm, processing live market data and delivering real-time alerts to traders using .NET Core, Kafka, PostgreSQL, and time-series databases.
Staff Backend Engineer (Python)
Build and scale a distributed cloud-security platform in Python, working with Neo4j, ElasticSearch, TimescaleDB, Redis and RabbitMQ across AWS, GCP and Azure.
Staff Backend Engineer (Python)
Build and scale a distributed cloud-security platform in Python, working with Neo4j, ElasticSearch, TimescaleDB, Redis and RabbitMQ across AWS, GCP and Azure.
Backend Engineer
Builds distributed Rust-based backend systems for real-time sensor data processing, storage, and threat detection APIs using Kafka, PostgreSQL, and Kubernetes.
Senior Fullstack Developer
Develops complex enterprise applications with backend focus, using Java/Spring Boot for REST/SOAP microservices, Oracle/TimeScaleDB, and React/JavaScript for frontend, serving industries like energy.
Java Developer(regular)
Builds and optimizes backend services in Java/Spring Boot, working with JPA, Docker, and relational databases for a product company.
Software Engineer - Cloud & AI Security
Build backend services for real-time cloud and AI security detection/response using Kubernetes, Docker, Neo4j, ElasticSearch, Redis, TimescaleDB, and RabbitMQ.
Senior Backend Software Engineer (exclusive)
Builds and secures a cloud runtime intelligence layer for enterprises using AWS, GCP, Azure, Kubernetes, and databases like Neo4j and TimescaleDB.
Senior Backend Software Engineer (exclusive)
Builds and secures a cloud runtime intelligence layer for enterprise clients using AWS, GCP, Azure, Kubernetes, and related tools.
Software Engineer - Cloud & AI Security
Build backend services for real-time cloud and AI security detection and response using Kubernetes, Docker, Neo4j, ElasticSearch, Redis, TimescaleDB, and RabbitMQ.
Senior Software Engineer - Platform & Data Infrastructure
Build and scale Enernet, the cloud platform that ingests telemetry from 400+ battery systems, runs Kafka-to-TimescaleDB pipelines, and serves low-latency GraphQL APIs for mobile and web clients.
Senior Data Engineer
Build resilient data pipelines and self-serve tooling for a crypto market maker, ingesting market, trading, and portfolio data to power desks, risk, finance, and AI agents.
Senior Database and Backend Engineer
Design and maintain a data-access abstraction layer for PostgreSQL, SQL Server, and MongoDB in Kubernetes, ensuring sub-100ms dashboard latency and cloud-native lifecycle automation.
Senior Software Engineer (Back-End)
As a Senior Back-End Software Engineer at Arcticrd, you’ll build and maintain data pipelines, REST APIs, and cloud infrastructure for Auka (the Arctic OS), using Python and AWS, working in a mission-driven team focused on reliable systems for harsh Arctic environments.
Senior Backend Engineer (Python)
Lead backend development for NexusGRID, building scalable Python/Django services that process millions of energy-asset telemetry records with high reliability and performance.
Senior Data Engineer
Builds and maintains cloud-native data pipelines for real-time/historical energy data, focusing on Kafka, Airflow, and time-series databases to support analytics and ML for climate-friendly heating/cooling solutions.
Danfoss - Data Engineer (LHU) - JIT Offices
Senior Data Engineer builds cloud-native pipelines in Python to ingest, process, and serve real-time and historical time-series data for energy-efficient heating/cooling solutions using Kafka, Airflow, SQL, and cloud platforms.
Software Engineer, Backend
Builds distributed systems in Rust and Go to store and process high-frequency time-series data for mission-critical platforms, using Parquet, Arrow, and cloud-native tooling.
Senior Backend Engineer — Automation
Senior backend engineer builds and reviews AI-generated microservices for automation using Node.js/TypeScript, TimescaleDB, Kafka, and cloud platforms.
Senior Software Engineer, Toolkit
Build and evolve TimescaleDB’s toolkit of hyperfunctions in Rust, turning raw time-series data into production-ready insights for observability, IoT, and financial systems.