What are the responsibilities and job description for the Full-stack Engineer with Microservices *SD position at Infojini Consulting?
Key skills : Architectural Design, Data Lake implementation, SQL, Snowflake, Microservices, API Development, AWS, Python, PySpark, and Serverless Architectures, Springboot microservices and understand NFR / performance concepts / monitoring tools like Splunk and Dynatrace.
Experience-8 - 10 Years
Key Responsibilities
Architectural Design : Lead the design and development of scalable, secure, and high-performance architectures, integrating solutions with existing systems.
Microservices & API Development : Design and oversee the development of microservices based architectures and RESTful APIs that ensure modularity, scalability, and ease of integration.
AWS Cloud Expertise : Lead the cloud strategy and implementation using AWS services such as Lambda, API Gateway, EC2, S3, and other serverless and managed services.
Scripting & Automation : Utilize Python and PySpark for automating workflows, data pipelines, and building AI models for processing large datasets.
Serverless Architecture : Design and implement serverless solutions using AWS Lambda and other cloud native services to improve scalability and reduce infrastructure management overhead.
Technical Leadership : Provide technical leadership to development teams, ensuring best practices are followed in design, coding, testing, and deployment.
Cross functional Collaboration : Work closely with product teams, DevOps, data scientists, and other stakeholders to align architectural solutions with business goals.
Security & Compliance : Ensure all architectural designs meet industry standards for security, compliance, and data governance.
Required Skills :
8 years of experience in solution architecture, including hands on development.
Strong knowledge of Microservices architecture and API development.
Proven experience in designing cloud solutions using AWS services (e.g., Lambda, API Gateway, S3, EC2, EMR, Athena).
Good knowledge of Snowflake or other cloud databases
Proficiency in Python and PySpark for scripting, automation, and building data pipelines.
Handson experience with serverless architectures and event driven systems.
Familiarity with CI / CD pipelines, DevOps practices and GIT
Solid understanding of API security (OAuth, JWT, etc.) and cloud security best practices.
Good to Have :
Experience in Python, Spark tuning and optimization for distributed data processing.
Knowledge of PySpark or other big data technologies.
Experience working in an Agile / Scrum environment.
Familiarity with CI / CD tools like Jenkins, GitLab, etc.
Understanding of data modeling and data governance practices.
Qualifications :
Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
8 years' experience in IT architecture, with expertise in Microservices, API Development, AWS, Python, PySpark, and Serverless Architectures.
Experience in data engineering roles and managing largescale data environments.
