Sr. Platform Engineer Bengaluru,

Cargill

3 - 8 years

13 - 18 Lacs

bengaluru

Posted:1 day ago| Platform:

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Skills Required

continuous integration python css api integration data processing networking relational databases javascript computation sql docker continuous delivery django iam devops linux shell scripting terraform mysql html api aws python framework

Work Mode

Work from Office

Job Type

Full Time

Job Description

SOFTWARE DEVELOPMENT: Designs and develops high quality software solutions by writing clean, maintainable and efficient codes.

AUTOMATION: Leads the application of internal software deployment platform, continuous integration or continuous delivery pipeline and twelve factor development methodology to automate the deployment process, ensuring smooth and reliable releases.
COLLABORATION: Partners with cross functional team of product managers, designers and other engineers to gather complex requirements and deliver solutions that meet business needs.
TESTING DEBUGGING: Writes and maintains complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software, applying test driven development as needed.
CONTINUOUS IMPROVEMENT: Recommends options for improving the software development and deployment processes, and implements the approved standards to improve efficiency and reliability.
DOCUMENTATION: Creates and maintains comprehensive documentation for complex software applications, deployment processes and system configurations.
TECHNICAL SUPPORT: Provides technical support and troubleshooting for complex issues with deployed applications to ensure minimal downtime and fast resolution.

Qualifications

Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.
Proven ability in designing and deploying scalable DevOps pipelines using Terraform, Python, and Shell scripting.
Hands-on experience managing production-grade systems on AWS, with deep knowledge of compute, networking, IAM, and data platform components.
Proficient in Python frameworks for data processing, API integration, and working with various data formats used in big data and streaming systems.
Skilled in troubleshooting network issues, managing firewalls, and handling certificate lifecycle management.
Strong command of SQL and relational databases, supporting data-driven applications and analytics.

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