API Engineer
Collabera
API Engineer
We are seeking a highly skilled API Engineer to design, build, and deploy scalable application services and integration solutions that support AI/ML-driven business applications. This role focuses on developing API-based integration layers around predictive models and AI solutions, working closely with Data Science, AI, and business domain teams.
The ideal candidate will have strong application development experience in Python and/or Golang, combined with hands-on DevOps expertise in containerized environments. This is a hands-on engineering role with opportunities to provide technical leadership while remaining actively involved in design and development.
Required Qualifications
- Software Engineer 3: 4+ years of software engineering experience
- Software Engineer 4: 7+ years of software engineering experience Ability to provide technical leadership and mentor team members while remaining hands-on
Responsibilities:
- Design, develop, and maintain API-driven application services.
- Build integration layers that connect business applications with AI/ML and predictive analytics solutions.
- Collaborate closely with Data Science teams to operationalize machine learning models.
- Develop scalable backend services using Python and/or Golang.
- Design and implement REST APIs and microservices architectures.
- Deploy and support containerized applications in cloud-native environments.
- Build, maintain, and troubleshoot CI/CD pipelines.
- Participate in architecture discussions and provide technical guidance on application design.
- Partner with stakeholders across Data Science, Tachyon, and Data Domain Owner teams to deliver business solutions.
- Ensure high availability, performance, scalability, and reliability of deployed services.
What We Are Not Looking For:
- Pure Java Developers
- Python Data Engineers
- ETL Developers
- Data-focused engineers without application development experience
We Need Background In:
- Strong API engineering and backend application development expertise
- Experience building production-grade services around AI/ML capabilities
- Cloud-native application development experience
- Combination of software engineering, integration engineering, and DevOps skills
- Experience working in cross-functional environments supporting AI-driven business solutions
Core Technical Skills:
- Programming Languages
- Strong experience with Python and/or Golang (Golang preferred)
- Additional experience with Java is beneficial
- Must have significant application development experience; not seeking pure Java developers
- Application & API Development
Strong Experience Building Scalable Applications And Services Using:
- Python
- FastAPI
- Django
- Flask
- Experience designing and developing RESTful APIs and microservices
- Expertise building integration layers connecting business applications with AI/ML solutions
- Strong full-stack development background preferred (UI development is not required)
- AI / Machine Learning Integration
- Experience integrating AI/ML solutions into enterprise applications
Exposure To:
- Vertex AI
- Gemini Enterprise
- Predictive AI/ML models
- Natural Language Processing (NLP)
- Classification Models
- Clustering Models
- DevOps & Cloud
Hands-On Experience With:
- Containerization and deployment
- CI/CD pipeline development
- Jenkins
- GitFlow / GitOps methodologies
- GKE (Google Kubernetes Engine) deployments
- OpenShift environments
- Delivery pipeline setup and troubleshooting
- EPLX (Git-based delivery pipeline tooling)
The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, paid time off, paid sick and safe time, hours of paid vacation time, weeks of paid parental leave, and paid holidays annually – as applicable.
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