Lead Software Engineer - Cloud AI​/ML

We have an opportunity to impact your career and provide an adventure where you can push the limits of what’s possible.

• 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

• Formal training or certification on software engineering concepts and proficient advanced experience
• Highly experienced in cloud development, with a focus on application design and development.
• 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‑drivenorserverless architectures.
• Experience with AI/ML model integration, prompt engineering, or LLM APIs (OpenAI, Bedrock)
• Experience with Git, CI/CD pipelines, automated testing frameworks and Dev Ops practices.
• Experience with monitoring and logging tools like
  
  Cloud
  
  Watch, 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 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, No
  
  SQL, 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