Senior Software Engineer
About Us:
We are a leading financial services firm at the forefront of innovation, leveraging artificial intelligence to drive smarter decision-making, optimize risk, and create cutting-edge solutions for institutional and retail investors. Our technology team is growing rapidly, and we're looking for a Senior Software Engineer to help us build and scale AI-powered products that are transforming the industry.
Role Overview:
As a Senior Software Engineer, you'll be a key contributor in designing and building our next-generation AI-enabled platforms. You'll work across the stack with Python, React, and AWS, partnering with data scientists, product managers, and other engineers to deliver high-performance, scalable solutions in a fast-paced environment.
Key Responsibilities:
Design, build, and deploy robust, scalable, and secure applications leveraging AI models and services.
Collaborate with cross-functional teams to architect full-stack solutions across front-end, back-end, and cloud infrastructure.
Work closely with data scientists and ML engineers to integrate models into production systems.
Write clean, maintainable, and well-tested code following best practices.
Optimize performance and reliability of AI-powered systems in cloud-native environments.
Mentor junior engineers and contribute to technical design discussions and code reviews.
Continuously evaluate new tools and technologies to improve platform capabilities.
Tech Stack:
Languages & Frameworks: Python (FastAPI, Django, or Flask), JavaScript/TypeScript, React
Cloud & DevOps: AWS (Lambda, S3, EC2, SageMaker, etc.), Docker, Terraform, CI/CD tools
Data & AI: Pandas, NumPy, Scikit-learn, PyTorch or TensorFlow (a plus), Airflow (a plus)
Other Tools: Git, Jira, Confluence, Postgres, Redis, Kafka (nice to have)
What We're Looking For:
5+ years of professional software engineering experience, ideally in fintech, trading, or financial analytics.
Strong proficiency in Python for backend development and React for front-end interfaces.
Solid experience with AWS cloud infrastructure and services.
Familiarity with deploying and operationalizing AI/ML models in production environments.
Passion for clean code, automation, and building elegant, performant systems.
Strong communication skills and ability to work in a collaborative team environment.
Bonus Points For:
Experience working on AI/ML projects in a financial context.
Knowledge of financial markets, trading systems, or risk modeling.
Prior experience in regulated environments or enterprise-scale applications.
Benefits:
Competitive compensation and performance bonuses
Equity opportunities
Comprehensive health, dental, and vision insurance
Generous PTO and flexible work options
Learning & development budget
Collaborative and inclusive culture
FAQs
Congratulations, we understand that taking the time to apply is a big step. When you apply, your details go directly to the consultant who is sourcing talent. Due to demand, we may not get back to all applicants that have applied. However, we always keep your resume and details on file so when we see similar roles or see skillsets that drive growth in organizations, we will always reach out to discuss opportunities.
Yes. Even if this role isn’t a perfect match, applying allows us to understand your expertise and ambitions, ensuring you're on our radar for the right opportunity when it arises.
We also work in several ways, firstly we advertise our roles available on our site, however, often due to confidentiality we may not post all. We also work with clients who are more focused on skills and understanding what is required to future-proof their business.
That's why we recommend registering your resume so you can be considered for roles that have yet to be created.
Yes, we help with resume and interview preparation. From customized support on how to optimize your resume to interview preparation and compensation negotiations, we advocate for you throughout your next career move.