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tools (e.g., Ansible, Chef) Proficiency with Terraform Hands-on experience with containerisation and orchestration (e.g., Kubernetes, OpenShift) CI/CD pipeline experience (e.g., Jenkins) Monitoring tools (e.g., Prometheus, Grafana, InfluxDB) MQ messaging experience (e.g., RabbitMQ) Solid understanding of SQL and relational databases Linux administration and shell scripting Familiarity with network security protocols Experience with cloud platforms, ideally AWS (EC2, RDS More ❯

with Docker and Kubernetes/OpenShift/Docker Swarm Hands-on experience building and maintaining CI/CD pipelines (e.g. Jenkins) Deep understanding of monitoring & observability tools (Grafana, Prometheus, InfluxDB) Solid grounding in Linux, network security, SQL, and AWS (EC2, S3, RDS, Lambda) Comfortable with MQ messaging (RabbitMQ or similar) Bonus points for: Experience with Azure environments Strong coding ability More ❯

Chef, etc.) Strong hands-on experience with Terraform, Docker, and Kubernetes/OpenShift/Docker Swarm Deep understanding of CI/CD pipelines (e.g. Jenkins), monitoring tools (Grafana, Prometheus, InfluxDB), and event-driven messaging (RabbitMQ or similar) Confident with Linux, SQL, and network security protocols Familiar with AWS services (EC2, S3, Lambda, RDS) Bonus points if you have: Experience coding More ❯

Puppet/Ansible Linux Administration – redhat family OS, including RHEL, Alma and some legacy CentOS Core internet applications protocols – DHCP/DNS Monitoring Systems – Icinga2/Elastic Stack/InfluxDB/Grafana Application and network security best practices – SSH/Iptables/TLS AWS (EC2/VPS/RDS/EKS/S3) Terraform Databases – PostgreSQL/MySQL CI/ More ❯

Puppet/Ansible Linux Administration – redhat family OS, including RHEL, Alma and some legacy CentOS Core internet applications protocols – DHCP/DNS Monitoring Systems – Icinga2/Elastic Stack/InfluxDB/Grafana Application and network security best practices – SSH/Iptables/TLS AWS (EC2/VPS/RDS/EKS/S3) Terraform Databases – PostgreSQL/MySQL CI/ More ❯

making • Drive adoption of new technologies and methodologies Technical Stack Core Technologies • Languages: Python (primary), Go, Rust (performance-critical components) • Frameworks: FastAPI, Celery, Ray, Dask • Databases: PostgreSQL, MongoDB, Redis, InfluxDB • Infrastructure: Kubernetes, Docker, Terraform, ArgoCD • Monitoring: Prometheus, Grafana, OpenTelemetry • ML/AI: PyTorch, Ray Serve, MLflow, Weights & Biases Domain-Specific Tools • Genomics: Nextflow, Snakemake, CWL • Data Formats: Apache Parquet, HDF5 More ❯

making Drive adoption of new technologies and methodologies Technical Stack Core Technologies Languages: Python (primary), Go, Rust (performance-critical components) Frameworks: FastAPI, Celery, Ray, Dask Databases: PostgreSQL, MongoDB, Redis, InfluxDB Infrastructure: Kubernetes, Docker, Terraform, ArgoCD Monitoring: Prometheus, Grafana, OpenTelemetry ML/AI: PyTorch, Ray Serve, MLflow, Weights & Biases Domain-Specific Tools Genomics: Nextflow, Snakemake, CWL Data Formats: Apache Parquet, HDF5 More ❯

Here’s a flavour of the tools and technologies you’ll get your hands on: Languages : Python, Rust, shell scripting Automation : Ansible (preferred), Infrastructure-as-Code practices Monitoring : Grafana, InfluxDB (self-hosted) CI/CD : GitHub Actions, local custom runners for hardware-based testing Infrastructure : Docker, Kubernetes, PostgreSQL, RabbitMQ, Mosquitto Environments : Ubuntu Linux, Windows, WSL, on-prem and hybrid systems More ❯

Here’s a flavour of the tools and technologies you’ll get your hands on: Languages : Python, Rust, shell scripting Automation : Ansible (preferred), Infrastructure-as-Code practices Monitoring : Grafana, InfluxDB (self-hosted) CI/CD : GitHub Actions, local custom runners for hardware-based testing Infrastructure : Docker, Kubernetes, PostgreSQL, RabbitMQ, Mosquitto Environments : Ubuntu Linux, Windows, WSL, on-prem and hybrid systems More ❯

Here’s a flavour of the tools and technologies you’ll get your hands on: Languages : Python, Rust, shell scripting Automation : Ansible (preferred), Infrastructure-as-Code practices Monitoring : Grafana, InfluxDB (self-hosted) CI/CD : GitHub Actions, local custom runners for hardware-based testing Infrastructure : Docker, Kubernetes, PostgreSQL, RabbitMQ, Mosquitto Environments : Ubuntu Linux, Windows, WSL, on-prem and hybrid systems More ❯

Here’s a flavour of the tools and technologies you’ll get your hands on: Languages : Python, Rust, shell scripting Automation : Ansible (preferred), Infrastructure-as-Code practices Monitoring : Grafana, InfluxDB (self-hosted) CI/CD : GitHub Actions, local custom runners for hardware-based testing Infrastructure : Docker, Kubernetes, PostgreSQL, RabbitMQ, Mosquitto Environments : Ubuntu Linux, Windows, WSL, on-prem and hybrid systems More ❯

computing or distributed system design. Proficiency in Linux administration, Docker, and network configuration. Familiarity with Python or scripting languages for automation and data handling. Experience with databases (e.g. TimescaleDB, InfluxDB, or PostgreSQL) and data orchestration tools. Understanding of industrial cybersecurity principles and safe plant integration. Desirable Exposure to AWS/Azure IoT/Greengrass/Kubernetes or other relevant orchestration More ❯

WAN). Familiarity with BGP , EVPN , Arista or Cumulus Linux , and firewall automation . Strong Linux knowledge (command line + admin). Experience with observability stacks Elastic , Grafana , InfluxDB , Telegraf . Bonus: familiarity with Robot Framework , tcpdump , Wireshark , or strace . Why Join Be part of a small, elite engineering team where your work has direct impact on live trading More ❯

/3, WAN). Familiarity with BGP, EVPN, Arista or Cumulus Linux, and firewall automation. Strong Linux knowledge (command line + admin). Experience with observability stacks – Elastic, Grafana, InfluxDB, Telegraf. Bonus: familiarity with Robot Framework, tcpdump, Wireshark, or strace. Why Join Be part of a small, elite engineering team where your work has direct impact on live trading systems. More ❯

WAN). Familiarity with BGP , EVPN , Arista or Cumulus Linux , and firewall automation . Strong Linux knowledge (command line + admin). Experience with observability stacks Elastic , Grafana , InfluxDB , Telegraf . Bonus: familiarity with Robot Framework , tcpdump , Wireshark , or strace . Why Join Be part of a small, elite engineering team where your work has direct impact on live trading More ❯

on a rapidly growing application and codebase Advantageous: Deploying Python and data science workloads to production Proficiency in database technologies including NoSQL (Mongo), caching solutions (Redis) or time-series (InfluxDB) Deep understanding of distributed system design patterns and protocol What can we offer? Performance-Based Bonus: Enjoy an annual bonus linked to the company's performance Flexible Working Hours: Achieve More ❯

troubleshoot issues across a diverse tech stack. Responsibilities Build and deploy code using Java, Maven, NPM, Terraform, and Ansible Manage CI pipelines and automated testing (Cypress) Monitor services with InfluxDB and Grafana Provide 2nd/3rd line support and incident response Perform OS patching, database housekeeping, and data centre ops Required Skills Experience in managed service environments Strong Java or More ❯

of generative AI capabilities into existing systems. As a Data Engineer, you will have: Strong experience with SQL (e.g., MS SQL, Oracle). Knowledge of NoSQL technologies (e.g., MongoDB, InfluxDB, Neo4J). Experience with data exchange and processing (ETL, ESB, APIs). Proficiency in Python or similar programming languages. Familiarity with big data frameworks (e.g., Hadoop ecosystem). Desirable Skills More ❯

qualified in a STEM or Data Engineering subject With experience in the following subject, technologies and tool: SQL technologies skills (e.g. MS SQL, Oracle) NoSQL technologies skills (e.g. MongoDB, InfluxDB, Neo4J) Data exchange and processing skills (e.g. ETL, ESB, API) Development (e.g. Python) skills Big data technologies knowledge (e.g. Hadoop stack) Knowledge in NLP (Natural Language Processing) Knowledge in OCR More ❯

for internal customers, ensuring sustainability and long-term usability. The ideal candidate would have: Experience with SQL technologies (e.g. MS SQL, Oracle). Experience with noSQL technologies (e.g. MongoDB, InfluxDB, Neo4J). Familiarity with data exchange and processing methods (e.g. ETL, ESB, API). Proficiency in development languages such as Python. Knowledge of big data technologies (e.g. Hadoop stack). More ❯

for internal customers, ensuring sustainability and long-term usability. The ideal candidate would have: Experience with SQL technologies (e.g. MS SQL, Oracle). Experience with noSQL technologies (e.g. MongoDB, InfluxDB, Neo4J). Familiarity with data exchange and processing methods (e.g. ETL, ESB, API). Proficiency in development languages such as Python. Knowledge of big data technologies (e.g. Hadoop stack). More ❯

for internal customers, ensuring sustainability and long-term usability. The ideal candidate would have: Experience with SQL technologies (e.g. MS SQL, Oracle). Experience with noSQL technologies (e.g. MongoDB, InfluxDB, Neo4J). Familiarity with data exchange and processing methods (e.g. ETL, ESB, API). Proficiency in development languages such as Python. Knowledge of big data technologies (e.g. Hadoop stack). More ❯

Contribute to the adoption of modern big data and containerisation technologies. Skills & Experience • Proven experience with SQL technologies (e.g. MS SQL, Oracle). • Experience with noSQL databases (e.g. MongoDB, InfluxDB, Neo4J). • Strong data exchange and processing expertise (ETL, ESB, API). • Programming experience, ideally in Python. • Understanding of big data technologies (e.g. Hadoop stack). • Knowledge of NLP and More ❯

Contribute to the adoption of modern big data and containerisation technologies. Skills & Experience • Proven experience with SQL technologies (e.g. MS SQL, Oracle). • Experience with noSQL databases (e.g. MongoDB, InfluxDB, Neo4J). • Strong data exchange and processing expertise (ETL, ESB, API). • Programming experience, ideally in Python. • Understanding of big data technologies (e.g. Hadoop stack). • Knowledge of NLP and More ❯

Contribute to the adoption of modern big data and containerisation technologies. Skills & Experience • Proven experience with SQL technologies (e.g. MS SQL, Oracle). • Experience with noSQL databases (e.g. MongoDB, InfluxDB, Neo4J). • Strong data exchange and processing expertise (ETL, ESB, API). • Programming experience, ideally in Python. • Understanding of big data technologies (e.g. Hadoop stack). • Knowledge of NLP and More ❯