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What We'll Bring:
1. System Design and Architecture• Design and implement scalable, distributed, and secure software architectures.
• Develop system blueprints, including data flows, integration points, and API specifications.
• Conduct trade-off analyses to select appropriate technologies and tools.
2. Full-Stack Development
• Lead and participate in the development of backend systems using Python and Java.
• Oversee frontend/UI development using frameworks such as React.js, Angular, or Vue.js.
• Implement best practices in code quality, testing, and CI/CD pipelines.
3. MLOps and Machine Learning Integration
• Architect and deploy MLOps pipelines for model training, validation, and deployment.
• Collaborate with data science teams to integrate machine learning models into production systems.
• Ensure robust monitoring, logging, and retraining capabilities.
4. Cloud and DevOps
• Design and deploy cloud-native solutions on platforms like AWS and GCP.
• Knowledge and experience on infrastructure as code (IaC) using tools like Terraform or CloudFormation.
• Lead efforts in containerization and orchestration using Docker and Kubernetes.
5. Team Collaboration and Leadership
• Provide technical guidance and mentorship to engineering teams.
• Conduct code reviews and enforce coding standards and practices.
• Collaborate with stakeholders to translate business requirements into technical solutions.
Required Skills and Qualifications
• Programming Expertise: Proficiency in Python and Java for backend development.
• Frontend Skills: Experience with modern UI frameworks like React.js, Angular, or Vue.js.
• Cloud Technologies: Hands-on experience with AWS and GCP, including serverless architectures and cloud-native services.
• MLOps: Familiarity with tools like MLflow,Feast, Kubeflow, or similar.
• System Design: Strong knowledge of designing scalable, distributed systems and microservices.
• DevOps: Proficiency in CI/CD tools (e.g., Jenkins, GitLab CI/CD), containerization (e.g., Docker), and orchestration (e.g., Kubernetes).
• Databases: Experience with both SQL (e.g., PostgreSQL, MySQL).
• Architecture Tools: Familiarity with tools like UML, Visio, or Draw.io for architecture diagrams
What You'll Bring:
Preferred Qualifications
• Experience with data engineering workflows and tools (e.g., Apache Kafka, Apache Airflow).
• Knowledge of security best practices in software development and cloud deployment.
• Experience with API gateways, load balancers, and distributed caching systems (e.g., Redis, Memcached).
• Certifications in cloud platforms preferred (e.g., AWS Solutions Architect, Google Professional Cloud Architect).
Impact You'll Make:
Soft Skills
• Strong analytical and problem-solving skills.
• Excellent communication and documentation abilities.
• Proven ability to lead cross-functional teams and drive projects to completion.
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