Production Support Engineer

Job Title: Production Support engineer (SRE)

Location: Jersey City, NJ 07310 (All 5 days onsite)

Contract to Hire

Make sure to apply quickly in order to maximise your chances of being considered for an interview Read the complete job description below.

Technical Skill Set

Cloud: AWS exposure

IaC: Terraform

Load Balancers

CI/CD: Automations, Jenkins

Scripting: Unix or Python

General: Strong hands-on engineering and SRE capabilities

Job Description:

• Proficient in application development skills for more than one technology as well as multiple design techniques.

• Working proficiency in development toolset to design, develop, test, deploy, maintain and improve software.

• Strong understanding of Agile methodologies with ability to work in at least one of the common frameworks.

• Strong understanding of techniques such as Continuous Integration, Continuous Delivery, Test Driven Development, Cloud Development, application resiliency and security.

• Proficiency in one or more general purpose programming languages.

• Working proficiency in a portion of software engineering disciplines and demonstrates understanding of overall software skills including business analysis, development, testing, deployment, maintenance and improvement of software.

Roles and Responsibilities:

• Formal training or certification in software engineering /Site Reliability Engineering concepts and 6+ years of applied experience.

• Handson practical experience in system design, application development, testing, and operational stability.

• Exposure to product engineering or production/Platform support activities with a good understanding on scalability, security, and reliability.

• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.

• Demonstrable ability to code in one or more languages.

• Experience across the whole Software Development Life Cycle. xhyhwjd

• Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security.

• Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).