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

Job description

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