Assignment Details
Our Client, a Leading Global Specialist in Energy Management and Automation is looking for a top-notch Software Engineer who always sweats the small stuff and cares about impeccable code. If you always strive towards a sustainable, scalable and secure code for every single application you develop, while keeping in mind the customer needs, then you are what we are looking for. You’ll get the chance to work with experienced engineers across our enterprise with a chance to move across varying automation technologies in the future. As Python developers in AI team, you will have the opportunity to work on multiple complex assignments like physics based complex models, lambda functions, automation pipelines, object-oriented programming, etc.
Responsibilities
Analyze and translate business requirements into scalable and resilient design.
Own parts of the application and continuously improve them in an agile environment.
Create high quality maintainable products and applications using best engineering practices.
Pair with other developers and share design philosophy and goals across the team.
Work in cross functional teams (DevOps, Data, UX, Testing etc.).
Build and manage fully automated build/test/deployment environments.
Ensure high availability and provide quick turnaround to production issues.
Contribute to the design of useful, usable, and desirable products in a team environment.
Adapt to new programming languages, methodologies, platforms, and frameworks to support
the business needs.
Skills Required
Qualifications
-Degree in computer science or a similar field.
-Four or more years of experience in architecting, designing, developing, and implementing cloud solutions on AWS and/or Azure platforms.
-Technologies: Python, Azure, AWS, MLFlow, Kubernetes, Terraform, AWS Sage maker, Lambda, Step Function.
-Development experience with configuration management tools (Terraform, Ansible,
CloudFormation).
-Developing and maintaining continuous integration and continuous deployment pipelines –
Jenkins Groovy scripts.
-Developing containerized solutions and orchestration (Docker, Kubernetes, ECS, ECR)
-Experience of server less architecture, cloud computing, cloud native application and scalability etc.
-Understanding of core cloud concepts like Infra as code, IaaS, PaaS and SaaS.
-Relevant certification of Azure or AWS preferred.
-Troubleshooting and analytical skills.
-Knowledge of AI & ML technologies, as well as ML model management context
-Strong verbal & written communication: should be able to articulate concisely & clearly.
Share
6 month(s)
5+ years 
Remote
