Senior Python Engineer

At Codelitt, we are more than just a product-development company - we are creators, innovators, and problem solvers. Our mission is to help companies unlock their potential by building exceptional digital experiences. We partner with businesses to bring their most ambitious ideas to life, from concept to launch and beyond. Our team thrives on challenges, pushing the boundaries of technology to craft solutions that make a real impact. If you're passionate about innovation and love tackling meaningful problems, you’ll find your home at Codelitt. About the Role We’re looking for an experienced Senior Python Engineer to join our team on a high-impact engagement with one of our partners, a global leader in wealth-management technology. Together we’re building next-generation tools that automate the ingestion, analysis, and visualization of alternative-investment data - leveraging AI and Machine Learning to surface insights, streamline workflows, and transform how investors manage their portfolios. You’ll work side-by-side with data scientists, product managers, and fellow engineers to design and deliver cloud-native services that power these capabilities. If you’ve crafted scalable systems, love working on tough data problems, and enjoy rapid iteration with a cross-functional team, we’d love to meet you. Who You Are: Python first. You’ve built and maintained production-grade Python microservices. Cloud fluent. Comfortable with AWS, Lambda-based architectures, and Terraform. Data-driven. Excited to process, aggregate, and compute on large datasets efficiently. Ownership mentality. You gravitate toward the hardest problems and see them through. Collaborative. Able to engage with stakeholders at every level on technical topics. What You'll Do: System Design & Development Design, build, and iterate on web-based applications for alternatives-data professionals. Implement well-architected, testable, and maintainable Python services. ML Integration Partner with machine-learning engineers to bring models into the backend stack. Expose model outputs through clean APIs that power rich client experiences. Data Processing & Automation Automate document-based workflows that ingest and normalize unstructured finance data. Optimize pipelines for performance, reliability, and observability. Collaboration & Documentation Work with product managers and client teams to refine requirements and gather feedback. Document system designs, project plans, and code—keeping everything clear and readable. Champion engineering best practices and help raise the technical bar across the team. Preferred Qualifications: 5+ years of professional software-engineering experience, primarily in Python. Proven track record designing microservice architectures in a cloud environment (AWS preferred). Hands-on experience with infrastructure-as-code tools (Terraform, CloudFormation, etc.). Familiarity with ML workflows and bringing models to production (bonus for Pandas, PyTorch, or TensorFlow). Comfort with SQL/NoSQL databases, messaging systems, and streaming platforms (e.g., Kafka, Kinesis). Working knowledge of CI/CD pipelines and automated testing frameworks.   Soft Skills: Excellent problem-solving skills and attention to detail. Strong communication skills and a collaborative mindset. Ability to work effectively in a remote, cross-functional team. Proactive and adaptable to a fast-paced development environment. Codelitt's a small, tight-knit global team that moves quickly We have fun together while building amazing products and partnering with clients and teammates from around the world If this sounds like what you are looking for, we can't wait to hear from you We will be in touch as soon as possible if there's a good fit. Thanks for your interest in Codelitt Note: We are not interested in working with recruiters or any agencies at this time.   Powered by JazzHR