Lead Software Engineer - Cloud/Java-Python/AI-ML

Job responsibilities

• Design, develop, and implement cloud-based applications and services.

• Collaborate with architects and engineers to ensure design solutions are aligned with business goals.

• Optimize applications for performance, scalability, and security.

• Identify opportunities to eliminate or automate the remediation of recurring issues to enhance the overall operational stability of software applications and systems

• Participate in code reviews and provide constructive feedback to peers.

• Stay up to date with emerging Cloud and AI/ML technologies and industry trends to drive innovation and continuous improvement

• Lead communities of practice across Software Engineering to promote awareness and adoption of new and leading-edge technologies

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and applied experience

• Experienced in cloud development (AWS), with a focus on application design and development.

• Experience with AI/ML model integration, Prompt engineering, LLM APIs (OpenAI, Bedrock) and Generative AI

• Proficiency in programming languages such as Java, Python, or Node.js.

• Strong experience with cloud platforms like AWS, Azure, or Google Cloud Platform.

• Experience building RESTful APIs and working with event-driven or serverless architectures.

• Experience with Git, CI/CD pipelines, automated testing frameworks and DevOps practices.

• Experience with monitoring and logging tools like CloudWatch, Dynatrace, Datadog, Prometheus, Grafana, or ELK stack.

• Strong understanding of cloud security best practices.

• Proficiency in data warehousing solutions like Snowflake and Iceberg and relational databases such as RDS or Oracle.

• Experience in Infrastructure as code (IAC) such as Terraform or equivalent

• Experience working with related technical frameworks – Flyway, Spring, Spring Boot, Spring Integration, JMS, JDBC, Hibernate/JPA etc

Preferred qualifications, capabilities, and skills

• Experience in automation in any scripting languages such as python/groovy etc.

• Relevant certifications such as AWS Certified Developer, Microsoft Certified: Azure Developer, or Google Professional Cloud Developer

• Familiarity with database technologies such as SQL, NoSQL, and cloud-native databases.

• Familiarity with containerization technologies such as Docker and Kubernetes.

• Experience with building out loosely coupled software and familiarity with SOA/Microservice architectures