Senior Cloud Application Development Engineer - Backend

Job Description

Develops applications that work in and on industry or hybrid cloud environments using capabilities and frameworks from internal and external cloud providers. Develops and coordinates cloud architecture over various areas, including application development, identity and access management, network and data management, and security. Defines the initial DevSecOps solution and links it to the cloud platform. Utilizes DevOps processes, automation, culture, and target platforms. Leverages expertise in cloud platforms including Amazon Web Services, Google Cloud, Azure, building and designing web services in the cloud, orchestrating and automating cloudbased platforms, as well as frontend development of the user interface that typically run over various form factors including mobile and PC. Utilizes HTML, JavaScript libraries, responsive, and / or AWS frameworks.

Qualifications

Key Responsibilities : Python Development : Develop backend services in Python OOP, (GitHub portfolio should reflect proficiency and efficiency in Python). AWS Serverless Development : Develop serverless pipelines leveraging Lambda, Eventbridge, DynamoDB, Step Functions, and SSM. API and Event Management : Create and manage APIs using API Gateway, integrating with Cognito for secure access. Containerization and Orchestration : Implement solutions using Kubernetes on AWS EKS. Build and maintain Docker images, showcasing expertise in containerization strategies. Infrastructure as Code : Create modular Terraform code to define and manage complex AWS deployments across multiple accounts CI / CD Pipelines : Establish and maintain CI / CD workflows using GitHub Actions, focusing on automation in testing and deployment. Go Development : Develop custom remote communication agent in Golang Skills and Qualifications : Bachelor's degree in Computer Engineering, Computer Science or related technical discipline 5+ years of experience in AWS and Python. Expertise in AWS serverless services. Advanced proficiency in Python and Go. Strong experience with Docker and Kubernetes on AWS EKS. Skilled in using Terraform for infrastructure management. Proficient in setting up and managing CI / CD workflows with GitHub Actions. Experience in creating and managing AWS SSM automation documents. Proficiency in Linux environments (Ubuntu and RHEL). Understanding of system performance profiling, preferably with Intel VTune.Other Requirements : Ability to work independently in a distributed team environment.Application Process : Please submit your resume along with your GitHub portfolio showcasing your technical expertise. Applications without a relevant GitHub portfolio showcasing the required skills will not be considered.

Inside this Business Group

Do you want to impact how thousands of software developers around the world use Intel platforms? Join the Developer Software Engineering (DSE) organization and work on the latest technology enabling compilers, debuggers, analyzers, libraries, and parallel runtimes. You will develop industry-leading software which abstracts and showcases Intel platforms, extracts peak performance, and amplifies Intel business through our Hardware and Software developer communities.

Other Locations

IN, Bangalore

Posting Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Benefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits

Working Model

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. In certain circumstances the work model may change to accommodate business needs.