Senior Software Engineer

• Lead the design and development of scalable, high-quality backend systems within a cloud-native environment.
• Collaborate with cross-functional teams to deliver robust microservices-based applications.
• Drive engineering excellence while mentoring team members and ensuring best practices.

Requirements/Must Have:

• 8+ years of overall software development experience.
• 2 4 years of experience in a Technical Lead or Senior Engineer role.
• Hands-on experience in Python for backend development.
• Experience in Java, preferably using Spring Boot and microservices architecture.
• Strong experience in building and consuming RESTful APIs.
• Solid understanding of microservices and distributed systems principles.
• Experience with AWS cloud services such as EC2, S3, Lambda, RDS, and EKS.
• Working knowledge of Docker and Kubernetes in production environments.
• Experience with logging, monitoring, and observability tools such as Kibana and ELK.
• Experience with CI/CD pipelines and DevOps practices.
• Strong understanding of data structures, system scalability, and performance tuning.
• Excellent communication skills with the ability to explain technical concepts clearly.
• Ability to collaborate with distributed and cross-functional teams.

Responsibilities:

• Lead hands-on development of backend services using Python and Java.
• Implement microservices aligned with defined architecture.
• Break down business requirements into technical tasks and development stories.
• Review code, enforce coding standards, and ensure high-quality deliverables.
• Mentor engineers and provide technical guidance on design and implementation.
• Collaborate on design reviews and implementation strategies.
• Develop and deploy containerized applications using Docker and Kubernetes.
• Work with DevOps teams to support CI/CD pipelines and deployment processes.
• Ensure proper logging, monitoring, and observability practices.
• Identify and resolve performance, scalability, and reliability issues.
• Support production issues, conduct root cause analysis, and drive continuous improvement.

Should Have:

• Exposure to AI/ML or Generative AI integrations.

Skills:

• Proficiency in Python and Java.
• Strong knowledge of microservices architecture and distributed systems.
• Experience with AWS cloud platform.
• Expertise in Docker, Kubernetes, and CI/CD tools.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.