Systems Engineer

About Your Organization

Actelligent is a firm that leverages the power of machine learning and data science to enhance investment returns. It has two lines of businesses, one being a fintech platform and one being a hedge fund that applies a Fundamental+AI strategy.

Job Title

We are looking for a Systems Engineer to design, build, integrate, and maintain the robust technical infrastructure that powers our AI-driven investment platform. You will ensure our systems are reliable, scalable, secure, and high-performing so our differentiated AI models and data pipelines can deliver accurate, real-time insights. This is a hands-on role that blends systems thinking, infrastructure excellence, and collaboration with AI/data science and product teams in a fast-moving fintech environment.

Responsibilities

. Design, implement, and maintain scalable systems and infrastructure that support our proprietary AI models, data pipelines, portfolio construction engines and website/ mobile app

. Integrate and optimize hardware, software, cloud services and third-party data feeds (market data, alternative data, etc.) to ensure seamless end-to-end performance

. Monitor system health, performance, and capacity proactively identify bottlenecks and implement improvements for reliability and efficiency

. Manage system configuration, automation, backup, recovery and disaster recovery processes

. Ensure high standards of security, compliance, and data integrity appropriate for a financial services platform handling sensitive investor and market data

. Collaborate closely with AI/ML engineers, data scientists, software developers and product teams to translate requirements into robust technical solutions and support model deployment and operations

. Troubleshoot complex technical issues, perform root-cause analysis and drive continuous improvement across the system lifecycle

. Maintain clear documentation of architectures, configurations, interfaces and operational procedures.

. Contribute to system architecture decisions, risk assessments, and technology evaluations as the platform scales

Requirements

. Bachelor's degree in Computer Science, Systems Engineering, Information Technology, or a related field (or equivalent practical experience).

. 3+ years of experience as a Systems Engineer, Infrastructure Engineer or similar role, ideally in fintech, financial services, or AI/ML-driven environments

. Familiarity with containerization(Docker, Kubernetes), CI/CD pipelines, or model-serving infrastructure

. Strong experience with cloud platforms (AWS, Azure, or GCP), Linux/Windows systems administration, networking, and virtualisation

. Proven ability to design and manage complex integrated systems, including automation/scripting (Python, Bash, PowerShell, Terraform, Ansible, etc.)

. Solid understanding of system monitoring, performance tuning, security best practices, and high-availability architectures

. Experience with data pipelines, API integrations or supporting AI/ML workloads is highly desirable

. Excellent problem-solving skills, systems thinking mindset, and ability to work effectively in a collaborative, cross-functional team

. Experience in financial services, investment platforms, or handling market/alternative data