Lead Software Engineer CloudJava-PythonAI-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 .
• Strong experience with cloud platforms like AWS Azure or Google Cloud Platform.
• Experience building RESTful APIs and working with event-drivenorserverless architectures.
• Experience with Git CI/CD pipelines automated testing frameworks and DevOps practices.
• Experience with monitoring and logging tools likeCloudWatch Dynatrace DatadogPrometheus 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