Software Engineer - Career

What you’ll do:

• Project Leadership: Lead the design, development, and deployment of batch and data products, ensuring alignment with business goals and technical requirements.
• Technical Oversight: Provide technical direction and oversee the implementation of solutions using Java and AWS , ensuring best practices in coding, performance, and security.
• Team Management: Mentor and guide a team of developers and engineers, fostering a collaborative and high performance environment.
• Stakeholder Collaboration: Work closely with cross functional teams including product managers, business analysts, and other stakeholders to gather requirements and translate them into technical solutions.
• Quality Assurance: Implement rigorous testing strategies to ensure the reliability and accuracy of data products.
• Performance Optimization: Monitor and optimize the performance of batch processes and data solutions, identifying and resolving any bottlenecks or issues.
• Documentation and Compliance: Maintain comprehensive documentation for all technical processes, ensuring compliance with internal and external standards.
• Continuous Improvement: Advocate for and implement continuous improvement practices within the team, staying abreast of emerging technologies and methodologies.
  

• Education: Bachelor's degree in Computer Science, Information Technology, or a related field.
• Experience:
• Minimum of 5-7 years of experience in relevant software development technologies, with a focus on batch processing and data solutions.
• Technical Skills:
• Proficiency in Java, with a strong understanding of its ecosystems.
• Minimum 5 years of experience in Design patterns, OOAD
• Minimum 5 years of experience Java, Sprint, Spring Boot, REST, Microservices, Hibernate, JPA, RDBMS
• Minimum 5 years of experience Git, CI/CD Pipelines, Jenkins
• Experience with AWS Services (EKS, Lambda, S3) and other key services such as: SQS (Simple Queue Service): A message queuing service used for decoupling microservices and creating asynchronous communication between different components of an application. RDS (Relational Database Service): A managed service that simplifies the setup, operation, and scaling of relational databases in the cloud. DynamoDB: A fast and flexible NoSQL database service that provides consistent, single-digit millisecond latency at any scale. Glue: A fully managed extract, transform, and load (ETL) service that makes it easy to prepare and move data for analytics. CloudWatch: A monitoring and observability service that provides data and actionable insights to monitor applications, respond to system-wide performance changes, and optimize resource utilization.
• Soft Skills:
• Excellent leadership and team management skills.
• Strong problem solving abilities and a proactive approach to project management.
• Effective communication and interpersonal skills, with the ability to convey technical concepts to nontechnical stakeholders.
  

• Experience with cloud platforms (AWS, GCP) is a plus.
• Understanding of data privacy regulations and compliance frameworks.