Sr. Software Engineer

Responsibilities

• Design, build, and deploy cloud-native applications that scale, incorporating AI and machine learning to deliver advanced customer solutions.
• Develop and iteratively improve front-end (React) and back-end (Python or Node.js) components within modern, user-focused web applications.
• Collaborate with product owners, data scientists, and UI/UX designers to deliver seamless, intuitive, and visually appealing interfaces.
• Architect and implement secure, robust microservices and APIs on AWS or other cloud platforms.
• Design and optimize data pipelines for big data analytics, leveraging columnar databases and modern data stores.
• Apply security, scalability, and performance best practices in a cloud-centric environment.
• Champion DevOps methodologies, including CI/CD, automated testing, monitoring, and infrastructure as code to ensure rapid, reliable delivery.
• Work with global teams in an Agile setting, mentor peers, and participate in code reviews.
• Stay current with emerging technologies, frameworks, and trends in AI, cloud, and full stack development.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a STEM-related field.
• Minimum 5 years of hands-on software development experience, including building, testing, and deploying cloud-native solutions.
• Proven full-stack expertise with React for front-end and Python or Node.js for back-end development.
• Strong UI development skills with a track record of delivering accessible, responsive, and user-friendly interfaces.
• Extensive experience with AWS or other major cloud platforms (Azure, GCP), utilizing managed services for scaling, security, and automation.
• Working knowledge of big data, analytics platforms, and columnar databases.
• Solid background in application security best practices within a cloud environment.
• Proficiency with DevOps tools and practices (CI/CD, Docker, Kubernetes, infrastructure as code, cloud monitoring).
• Experience collaborating within cross-functional Agile teams and effectively communicating technical concepts.
• Experience integrating and deploying AI/ML models into production applications is a plus.
• Demonstrated passion for continuous learning and driving innovation through technology.

Technologies

• React
• Python
• Node.js
• AWS
• Azure
• GCP
• Docker
• Kubernetes
• Infrastructure as code
• Columnar databases
• AI
• Machine Learning

Where is the work

Monday through Thursday, onsite with colleagues. Fridays, you may choose your work location based on project needs.

Compensation

• Base salary: USD 127,110 - 177,870 per year
• Compensation type: Salary
• Incentive eligible: No
• Sales commission eligible: No

Safety sensitive role

No. The role is not designated as safety sensitive. Some positions may require additional drug screening.