Technical Lead for backend engineering on trading infrastructure with a focus on C# and Go. Leading architecture decisions while ensuring systems reliability and performance.
About the role
- Senior AI Solutions Engineer at Xylem developing AI/ML capabilities and full-stack solutions. Leading engineering practices in a collaborative environment to address critical water challenges.
Responsibilities
- Technical decisions and implementation quality within the POD
- Ensuring engineering velocity, code quality, and adherence to platform and architectural standards
- Breaking down solution architecture into executable tasks for developers
- Identifying risks early and enabling unblocked delivery
- Mentoring other engineers and elevating engineering practices
- Building, integrating, and maintaining AI/ML capabilities in production
- Ensuring performance, reliability, monitoring, and lifecycle management of models
- Implementing reusable AI components aligned with platform patterns
- Leading design sessions and translating architecture into implementation plans
- Conducting code reviews and ensuring maintainable, scalable code
- Delivering end-to-end features: UI, backend, APIs, microservices
- Ensuring security, authentication, and RBAC in AI-enabled applications
- Implementing integration logic and data flows required for solutions
- Ensuring secure, compliant, well-designed data integrations
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or related field, or 5+ equivalent working experience
- Certifications in AI/ML, cloud engineering, or platform engineering (preferred)
- Strong Python + JavaScript/TypeScript
- Experience building AI/ML features and pipelines
- Backend development using Flask, FastAPI, Django, Node.js
- Frontend development experience with React, Angular, or Vue.js
- Knowledge of SQL/NoSQL databases: PostgreSQL, MongoDB, Redis
- Cloud platforms: Azure (preferred), AWS, or GCP
- DevOps & MLOps: Docker, Kubernetes, CI/CD, Terraform, model monitoring
- Experience building APIs, microservices, and distributed systems
Benefits
- Medical, Dental, and Vision plans
- 401(k) with company contribution
- Paid time off
- Paid parental leave
- Tuition reimbursement
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Senior Engineer building and maintaining backend services and platform infrastructure for proprietary trading platform. Focusing on performance and reliability in a fintech environment.
Senior IoT Engineer managing connectivity for a digital screen network across Europe. Focusing on device lifecycle, automation, and ensuring reliability at scale.
Platform Engineer developing scalable self - service infrastructure for Sinch’s global voice and video products. Engaging with product engineering teams to enhance reliability and speed in deployment.
Power Platform Engineer developing and deploying Microsoft solutions for public sector clients. Collaborating with teams to enhance operations and streamline processes.
System Engineer managing server infrastructure for Cambio's e - health solutions in Sweden. Collaborating on IT operations and deploying updates while ensuring reliability and security.
Senior Platform Developer designing user - friendly platforms for big data applications at Flare. Implementing scalable infrastructure and developing internal tools for efficiency.
Low - code/no - code solution engineer developing platforms for client digital transformation. Collaborating on business processes and applications within the Power Platform stack.
Platform Engineer designing and implementing CI/CD pipelines and Kubernetes solutions for Defence and Security sector. Collaborating with cross - functional teams to ensure platform support and scalability.
Staff Software Engineer designing and implementing distributed systems for Bazaarvoice. Collaborating with engineering leadership to enhance developer productivity and experience.