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Techfellow Limited

Techfellow Limited

www.techfellow.co.uk

3 Jobs

11 Employees

About the Company


At Techfellow, we connect top tech talent with leading financial firms worldwide. With a deep understanding of your business and tech needs, we match exceptional engineers, developers, and cybersecurity experts to the right opportunities.

Fit is our priority. We're selective, focusing on quality over quantity to find the best candidates for our valued partners!

Listed Jobs

Company background Company brand
Company Name
Techfellow Limited
Job Title
Security Engineer | Algorithmic Trading Strategy Leader
Job Description
**Job Title** Security Engineer | Algorithmic Trading Strategy Leader **Role Summary** Design, build, and maintain secure, automated detection and response pipelines for a global quantitative trading firm. Integrate security tooling into CI/CD, enhance log ingestion and data processing across hybrid environments, and embed observability into infrastructure and application lifecycles. **Expectations** - Deliver scalable, low‑latency security automation at the intersection of software engineering and cybersecurity. - Collaborate closely with infrastructure, DevOps, and platform teams to evolve global security architecture. - Support 24/7 operations with occasional weekend coverage for critical upgrades. **Key Responsibilities** - Design, develop, and maintain automated log collection, enrichment, and analysis pipelines (Python, Linux shell). - Optimize log ingestion workflows and data transformation for high‑volume, low‑latency systems. - Build automation scripts and integrations (primarily Python) to improve monitoring, alerting, and response. - Engineer integrations between SIEM, SOAR, and observability platforms (Elastic Stack preferred; Splunk also relevant). - Strengthen secure data processing and telemetry visibility, ensuring data integrity and detection coverage. - Contribute to CI/CD pipeline development for security tooling and automation workflows. - Embed detection logic and observability early in the software lifecycle through close collaboration with infrastructure and DevOps teams. - Fine‑tune DLP and UEBA frameworks to detect behavioral anomalies and protect intellectual property. - Support the development of security automation frameworks to reduce manual effort and improve accuracy. - Participate in operational support rotations during business hours; occasional weekend coverage for critical upgrades. **Required Skills** - 5–8 years of professional experience in security engineering, detection engineering, or adjacent security/infrastructure roles. - Strong hands‑on Linux skills (shell, system diagnostics, vulnerability investigation). - Proficiency in Python (or comparable language) for automation, data processing, and system integration. - Expertise with Elastic Stack (Elasticsearch, Logstash, Kibana) for log ingestion, search, and analytics; Splunk or other SIEM experience valued. - Understanding of log processing pipelines, event correlation, and data normalisation across distributed systems. - Familiarity with CI/CD pipelines and workflow automation, integrating security controls into build and deployment. - Knowledge of network fundamentals, telemetry pipelines, and security data modelling. - Strong analytical mindset, problem‑solving orientation, focus on efficiency and scalability. **Preferred Experience** - Threat detection, custom rule creation, or tuning of existing alerts. - Incident response and forensics experience in high‑performance or research‑led environments. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Information Security, or related field (or equivalent experience). - Relevant security certifications preferred: CISSP, CEH, GCIH, or equivalent.
New york, United states
Hybrid
Mid level
04-11-2025
Company background Company brand
Company Name
Techfellow Limited
Job Title
Senior Cloud Engineer - Infrastructure & Platform Services | Dynamic Asset Management Leader
Job Description
Job Title: Senior Cloud Engineer – Infrastructure & Platform Services Role Summary: Lead the design, implementation, and continuous improvement of large‑scale public cloud environments (primarily AWS, with Azure exposure). Drive automation, platform standardisation, and operational excellence while mentoring junior team members. Expectations: - Deliver resilient, secure, and scalable cloud architectures that support trading and research workloads. - Mentor, coach, and influence engineering best practices within the team. - Act as a technical advocate for cloud adoption and cost‑optimisation. Key Responsibilities: - Design, deploy, and evolve AWS cloud environments; integrate hybrid on‑premise components. - Build and maintain IaC solutions using Terraform (or CloudFormation) with Python/Bash scripting. - Support Kubernetes (EKS/AKS/GKE) clusters: lifecycle, security, upgrades, and CI/CD pipelines. - Create self‑service portals and automation frameworks to accelerate resource provisioning. - Ensure consistent user experience across on‑premise and cloud systems; enforce standards. - Develop monitoring/observability stacks (Grafana, Prometheus, OpenTelemetry). - Maintain operational documentation and architecture artefacts. - Participate in on‑call rotations for high‑availability production support. - Evaluate emerging cloud services and recommend enhancements. Required Skills: - 6+ years designing, launching, and managing enterprise‑scale cloud environments (AWS). - Strong IaC expertise: Terraform, CloudFormation, or equivalent. - Deep knowledge of cloud services (compute, networking, storage, IAM). - Hands‑on Kubernetes proficiency (EKS/AKS/GKE, security, upgrades, workload orchestration). - Python or Bash scripting for automation, CI/CD, and configuration management. - Linux systems administration (RHEL‑based). - Hybrid networking: VPN, load balancers, routing, security. - Container technologies (Docker, Podman). - FinOps awareness: cost optimisation and cloud utilisation. - Monitoring/observability experience (Grafana, Prometheus, OpenTelemetry). - Backup, DR, and business continuity in cloud environments. - Preferred: Ansible/Puppet, AI/ML or HPC workload experience. Required Education & Certifications: - Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience). - Preferred certifications: AWS Solutions Architect, AWS SysOps Administrator, Kubernetes CKA/CKAD.
Chicago, United states
Hybrid
Senior
14-11-2025
Company background Company brand
Company Name
Techfellow Limited
Job Title
Infrastructure Engineer - Front-Office Platform Support | Dynamic Asset Management Leader
Job Description
Job Title: Infrastructure Engineer – Front‑Office Platform Support Role Summary: Provide technical leadership and hands‑on support for front‑office users of a cloud‑native investment platform. Bridge the gap between back‑end infrastructure teams and portfolio managers/analysts, ensuring efficient use of AWS, Kubernetes, Terraform, Airflow, Jenkins, and related tools. Drive automation, streamline workflows, and enhance platform reliability. Expectations: - Enable portfolio teams to leverage cloud and platform services effectively. - Automate and document routine operational tasks to improve consistency and speed. - Resolve incidents quickly while maintaining a reliable support environment. - Collaborate with engineering, analytics, and research groups to refine data pipelines and deployment processes. Key Responsibilities: 1. Guide users in adopting AWS, Kubernetes, Terraform, Airflow, Jenkins, Coder, and allied cloud technologies. 2. Design and implement automation scripts and process improvements; author and maintain knowledge bases. 3. Partner with engineering and analytics teams to optimize data pipelines, CI/CD workflows, and platform integrations. 4. Act as the primary support contact for PMs and analysts, providing platform, data, and infrastructure assistance. 5. Coordinate cross‑team efforts to diagnose, fix, and pre‑empt platform issues, driving ongoing enhancements. 6. Manage incidents with urgency, ensuring transparent communication and swift resolution. 7. Build and refine internal tooling across Linux environments using scripting and automation. 8. Engage with messaging systems (Kafka, RabbitMQ) to diagnose application issues and support integration. Required Skills: - 4–7 years of infrastructure engineering, platform support, or DevOps‑aligned roles in financial services. - Proficiency with Linux operating systems (installation, configuration, troubleshooting). - Strong scripting/automation in Python; Bash or PowerShell knowledge is advantageous. - Practical experience with AWS or comparable cloud providers; openness to learning new platforms. - Understanding of workflow automation, CI/CD principles, and modern data tooling. - Familiarity with messaging platforms such as Kafka or RabbitMQ. - Experience with CTRM/ETRM platforms or distributed data workflows. - Excellent, structured communication; ability to support complex users and collaborate with engineering teams. Required Education & Certifications: - Degree from a selective or highly reputable university (or internationally equivalent). - Certifications in cloud platforms, DevOps, or related areas are desirable but not mandatory.
London, United kingdom
On site
24-11-2025