Senior Full Stack Engineer responsible for developing and integrating AI tools in a HealthTech startup, providing impactful solutions for therapists' workflows.
About the role
- Senior Software Engineer leading the design and implementation of cutting-edge data-centric architectures at Xcelerate Solutions. Utilizing cloud computing, AI, and machine learning in a mission-driven environment.
Responsibilities
- Work in a DevSecOps environment to ensure the availability of biometric systems and data for end users.
- Lead the integration, maintenance, and monitoring of software systems to ensure constant availability of technical resources.
- Design, implement, and enhance complex software systems, including processing-intensive analytics, real-time systems, and business management information systems.
- Collaborate with Systems Engineers, Software Engineers, Architects, and Operations teams to develop enterprise AFEM (Automated Facial Extraction and Matching) capabilities.
- Participate in test, staging, and production deployments, ensuring system reliability and performance.
- Develop and maintain software applications using C#.
- Implement API development, ETL processes, and enterprise search capabilities (e.g., Elasticsearch).
- Utilize DevOps tools like GitLab or Jenkins for CI/CD practices.
- Monitor automated system integration tests and resolve system abnormalities.
- Foster collaboration within the team to deliver high-quality solutions to customers.
Requirements
- Bachelor’s Degree with 4-8 years of relevant experience or Master’s Degree with 2-6 years of relevant experience.
- Active Top Secret/SCI clearance with the ability to obtain and maintain Poly.
- Proficiency in C# programming and API development.
- Knowledge of SQL Server, ETL processes, and application-level security.
- Hands-on experience with microservices and logging systems.
- Familiarity with biometric systems and SDKs (preferred).
- Experience with containerization (e.g., Docker) and DevOps tools (preferred).
- Experience with AWS cloud-based architecture and services like Lambda (preferred).
- Knowledge of GraphQL, Python, Bash, Apache NiFi, and Kafka (preferred).
Benefits
- Health insurance
- 401(k) matching
- Flexible working hours
- Paid time off
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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