AWS Devops Cloud Engineer

Job description
Role & responsibilities

As a Cloud Engineer you will support solution development, take responsibility for delivery

Design, implement, and maintain AWS infrastructure and services to support our applications.
Collaborate with development teams to understand application requirements and deploy scalable and reliable solutions.
Automate and streamline the deployment and operation processes, emphasizing infrastructure as code (IaC) principles.
Implement and manage CI/CD pipelines for continuous delivery.
Monitor, troubleshoot, and optimize AWS infrastructure for performance and cost.
Ensure security best practices are implemented in the AWS environment.
Collaborate with cross-functional teams to ensure seamless integration of cloud-based services.
Provide technical guidance and support to team members and stakeholders.

REQUIRED QUALIFICATIONS AND SKILLS

Bachelors Degree or equivalency (Computer Science or similar engineering discipline).
5+ years overall IT industry experience.
Proven experience as a DevOps Engineer or similar role.
Strong expertise in AWS services (Compute, Storage, RDS, Serverless, Network, Security, etc.).
Proficient in scripting languages such as Python, Shell.
Experience with configuration management tools (e.g., Terraform, CDK, Ansible).
Knowledge of CI/CD tools (Jenkins, GitHub, etc.).
Familiarity with containerization and orchestration (Docker, Kubernetes).
Solid understanding of networking concepts and security best practices.
Excellent problem-solving and communication skills.
AWS certifications (e.g., AWS Certified DevOps Engineer) are a plus.
Hands-on experience designing available, cost-efficient, fault-tolerant, and scalable distributed systems on AWS(preferred)
Contributing to the design of Robust systems with an eye on the long term maintenance and support of the application
Leveraging reusable code modules to solve problems across team and organization.
Demonstrated experience in writing clean, high-quality code.
Hands on programming skills in Python, Understanding of packaging for python.
Develop and execute unit tests to ensure code quality and reliability.
Hands-on experience with AWS deployment and management services
Experience with seamless/automated build pipelines used for release management across all environments.
Experience building sophisticated and highly automated infrastructure. Prior success in automating a real-world production environment.
Knowledge of recommended best practices for building secure and reliable applications on the AWS platform
In-depth knowledge of at least one high-level programming language, associated frameworks, idioms and best practices
Experience of building unit tests, integration tests, system tests and acceptance tests.
Work directly with Product Owners to deliver data products in a collaborative and agile environment.

QUALIFICATIONS AND DESIRED SKILLS

Experience with Python and Good to have AWS CDK Typescript.
Experience with native Cloud data services AWS.
Experience in DevOps, using continuous integration and continuous development
Experience in Shell Scripting, SQL
Experience in Docker containers
Understanding of data analysis profiling, investigating, interpreting and documenting data structures
Experience with continuous integration tools (e.g. Jenkins & Bamboo)
Experience with Checkov, tfsec, Sonar cloud/cube.
Experience in Static code analysis and test cases with Python.
Experience with deployment methodologies and DevOps principles such as immutability.
Hands on familiarity with Cloud Formation or Terraform.
Experience architecting highly available systems that utilize load balancing, horizontal scalability and high availability.
Practitioner of AGILE methodology

GOOD TO HAVE

Strong verbal and written communication skills, with the ability to work effectively across internal and external organizations.
Working experience with any other programming languages like Java.
Working experience of any of the workflow technology like AirFlow/Luigi/Nextflow
Experience in any of the Cloud Compliance tool
Experience having worked in a Matrixed organization in a Hub spoke model
Experience in Life Science domain, and exposure to validated platforms is an advantage

OVERALL YEARS OF EXPERIENCE

6+ years of experience

Work Timings : 2 pm to 11 pm


Perks and benefits

1) Health Insurance

2) Remote Working

Role: Healthcare & Life Sciences - Other
Industry Type: IT Services & Consulting
Department: Healthcare & Life Sciences
Employment Type: Full Time, Temporary/Contractual
Role Category: Healthcare & Life Sciences - Other
Education
UG: Any Graduate
Key Skills
Skills highlighted with ‘‘ are preferred keyskills