code principles. Containerisation experience, with Docker and Kubernetes/OpenShift. CI/CD knowledge, including pipeline configuration and Git-based workflows. Monitoring and observability tools, such as Prometheus, Grafana, InfluxDB, and Nagios. Cloud proficiency, especially with AWS services (EC2, S3, VPC, NLB) and automation tools like Terraform or CDK. Desirable skills include experience with MongoDB, Python, CommVault, Oracle virtualisation (KVM More ❯
code principles. Containerisation experience, with Docker and Kubernetes/OpenShift. CI/CD knowledge, including pipeline configuration and Git-based workflows. Monitoring and observability tools, such as Prometheus, Grafana, InfluxDB, and Nagios. Cloud proficiency, especially with AWS services (EC2, S3, VPC, NLB) and automation tools like Terraform or CDK. Desirable skills include experience with MongoDB, Python, CommVault, Oracle virtualisation (KVM More ❯
tools (e.g., AWS Budgets, Cost Explorer). Skilled in provisioning and config management using Ansible; Terraform experience is a plus. Proficient in ClickHouse and PostgreSQL; knowledge of kdb+ or InfluxDB is a bonus. Solid scripting skills (Python, Bash, or equivalent). Hands-on experience with Docker, Kubernetes, Helm, and deployment automation. Familiar with monitoring and logging stacks; experience with Prometheus More ❯
Configuration Management Systems - Puppet/Ansible Source Control - Git Linux Administration - CentOS ideally, but any Linux/Unix Virtualization - VmWare/Veeam Monitoring Systems - Icinga2/Elastic Stack/InfluxDB/Grafana Core internet applications protocols - DHCP/DNS Scripting - Python/Perl/Bash Application and network security best practices - SSH/Iptables/TLS Hardware management - Server racking More ❯
scale (Twitter v2, Reddit, Discord, Telegram, Scrapy, Playwright). Experience with real-time streaming systems (Kafka, RabbitMQ) and ingesting high-velocity data. Deep data-engineering expertise across Postgres, Redis, InfluxDB, and ClickHouse-schema design, indexing, and caching for sub-second reads. Experience deploying microservices in production using Docker and Kubernetes. Skilled in setting up observability and alerting pipelines (Prometheus, Grafana More ❯
scale (Twitter v2, Reddit, Discord, Telegram, Scrapy, Playwright). Experience with real-time streaming systems (Kafka, RabbitMQ) and ingesting high-velocity data. Deep data-engineering expertise across Postgres, Redis, InfluxDB, and ClickHouseschema design, indexing, and caching for sub-second reads. Experience deploying microservices in production using Docker and Kubernetes. Skilled in setting up observability and alerting pipelines (Prometheus, Grafana), including More ❯
and dashboards with either open source or commercial products (e.g. PowerBI, Plot.ly, matplotlib) Programming OOP DevOps Web technologies HTTP/S REST APIs Experience with time-series databases (e.g., InfluxDB, kdb+, TimescaleDB) and real-time data processing. Familiarity with distributed computing and data warehousing technologies (e.g., Spark, Snowflake, Delta Lake). Strong understanding of data governance, master data management, and More ❯
caching strategies for low-latency services. Experience with market data infrastructure and back testing frameworks : hands on building and operating real time data pipelines (Kafka/Redpanda, ClickHouse/InfluxDB) and authoring production grade back testing and simulation systems in Python or Go. Ideal Candidate Profile A creative problem-solver who is eager to innovate and push boundaries in the More ❯
latency messaging libraries. Strong grasp of event-driven architecture and experience designing fully deterministic systems. Solid knowledge of time-series and analytical databases like ClickHouse; exposure to kdb+ or InfluxDB is a plus. Experience with distributed systems, message queues, and performance tuning at the network and application layer. Comfortable using AI-powered development tools to enhance code quality and development More ❯
OOP DevOps Application development lifecycle Web technologies HTTP/S HTML/Javascript REST APIs Authentication protocols Data formats (CSV, JSON, XML, Parquet) Experience with time-series databases (e.g., InfluxDB, kdb+, TimescaleDB) and real-time data processing. Familiarity with distributed computing and data warehousing technologies (e.g., Spark, Snowflake, Delta Lake). Strong understanding of data governance, master data management, and More ❯
