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Senior Developer
Accrete AI
posted 4mon ago
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Flexible timing
Key skills for the job
Job Description
- Design and implement scalable, efficient, and maintainable software solutions.
- Develop and maintain data scraping/integration solutions to collect and process large volumes of data.
- Collaborate with product managers, machine learning engineers, and other stakeholders to understand requirements and deliver high-quality products.
- Work closely with the Technical Architect to understand the solution architecture and implement it effectively.
- Deliver high-quality, well-documented, and maintainable code.
- Finalize and maintain detailed sequence diagrams and architectural documentation.
- Implement and manage thorough testing processes, including automated testing.
- Develop effective strategies to debug issues that arise in production environments.
- Implement best practices for coding standards, testing, and deployment.
- Stay updated with the latest industry trends and technologies to ensure our products are cutting-edge.
- Mentor and guide junior developers and data engineers, fostering a collaborative and innovative environment.
- Capable of handling complex problems and guiding teams. Be able to contribute to high-level technical decisions and ensure that best practices are followed.
Education: Bachelors or Masters degree in Computer Science, Engineering, or a related field.
Experience:
- Minimum 7 years experience in software development.
- Knowledge of data privacy and security best practices.
- Familiarity with agile development methodologies.
- Have a good knowledge of architecture, design patterns, and advanced software development techniques
Technical Skills:
- Python: Advanced proficiency in Python programming and experience with its libraries and frameworks such as Pandas, NumPy, Flask, Django, FastAPI etc.
- Data Scraping: Extensive experience with data scraping tools and frameworks such as BeautifulSoup, Scrapy, Selenium, Playwright etc. Experience with data pipeline tools such as Airflow, kafka, Spark would be a plus
AWS:
- Compute Services: Proficiency with AWS compute services such as EC2, Lambda, EKS and ECS.
- Storage Services: Experience with AWS storage services like S3 and EBS.
- Databases: Knowledge of AWS database services including RDS (e.g., PostgreSQL, MySQL) and MongoDB.
- Networking: Understanding of AWS networking services like VPC, Route 53, and CloudFront.
- Security: Experience with AWS Identity and Access Management (IAM), AWS Key Management Service (KMS), and other security services.
- Deployment and Management: Experience with CI/CD pipelines and tools like Jenkins, GitLab CI and Terraform/Terragrunt, Flux CD
- Monitoring and Logging: Familiarity with AWS CloudWatch and AWS CloudTrail, DataDog, PagerDuty
- Containerization: Experience with Docker and container orchestration tools like Kubernetes. Ability to create and manage Docker containers for deploying applications.
- Database Management: Strong understanding of SQL and database management systems. Experience with relational databases such as PostgreSQL, MySQL, NoSQL databases like Mongodb, ElasticDB. Experience with graph databases would be an advantage
- API Development: Experience in designing and consuming RESTful APIs. Familiarity with API management and documentation tools such as Swagger or Postman. Proficiency with FastAPI and FlaskAPI.
- Version Control: Proficiency with version control systems like Git, including branching, merging, and pull requests.
- Testing Automation: Experience in setting up and using automated testing tools and frameworks, such as Selenium, PyTest, or JUnit.
- Documentation: Ability to create and maintain detailed sequence diagrams and architectural documentation.
- Debugging: Proficiency in developing effective strategies to debug issues that arise in production environments.
Soft Skills:
- Problem-Solving: Strong analytical and problem-solving skills.
- Communication: Excellent verbal and written communication skills.
- Collaboration: Ability to work collaboratively with cross-functional teams.
- Adaptability: Ability to adapt to new technologies and methodologies quickly.
Employment Type: Full Time, Permanent
Functional Areas: Software/Testing/Networking
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Flexible timing
Monday to Friday
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