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Delivery Solutions

Senior Software Engineer - MEAN Stack

Posted 3 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in India
Senior level
Remote
Hiring Remotely in India
Senior level
Develop and enhance software products in a SaaS company using the MEAN stack. Collaborate on requirements, coding, and deployment to ensure scalable solutions.
The summary above was generated by AI

Delivery Solutions is a Retail eCommerce OXM Platform that provides retailers with out-of-the-box solutions to power Same-Day Delivery, Curbside, In-Store Pickup, Shipping, and post-purchase experiences. We are trusted with some of the biggest names in multiple verticals of retail like Sephora, AT&T, Footlocker, Michaels, Office Depot, GameStop, Total Wine, Sally Beauty, Abercrombie & Fitch Co., Belk, Loblaw, Vineyard Vine,s etc.

Our SAAS-based solution is highly flexible and interacts seamlessly with E-commerce properties, OMS, WMS, and POS systems for a highly scalable experience and a delighted customer base.

Delivery Solutions is a wholly-owned subsidiary of UPS. | We are a certified Great Place to Work Company

Role: Senior Software Engineer - MEAN Stack

Reports to: Team Lead

Division/Department: Product

Work Location: India - Remote

We are seeking highly skilled and experienced Senior Software Engineers to join our SaaS company. As a Senior Software Engineer, you will play a pivotal role in the development and enhancement of our cutting-edge software products. You will work closely with cross-functional teams to design, develop, and deploy scalable software solutions using the MEAN stack (MongoDB, Express.js, Angular, Node.js) and related technologies.

Responsibilities:

  • Collaborate with product managers, designers, and other stakeholders to define software requirements and translate them into technical specifications.
  • Design and develop robust and scalable software solutions using the MEAN stack and other relevant technologies.
  • Take ownership of feature development and deliver high-quality code on time.
  • Participate in code reviews to ensure code quality and adherence to coding standards.
  • Troubleshoot and debug software issues, and identify and implement effective solutions.
  • Collaborate with DevOps teams to ensure smooth deployment and operation of software applications.
  • Stay up-to-date with the latest industry trends, tools, and technologies, and make recommendations for process improvements.

Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, or a related field. (Master's degree preferred)
  • 5+ years of hands-on experience in MEAN stack development, including MongoDB, Express.js, Angular (version 2 or higher), and Node.js.
  • Proven experience working in a product-based company, delivering software solutions to customers.
  • Strong understanding of Agile methodologies and Agile development practices.
  • Proficient in front-end technologies such as Angular, HTML, CSS, and responsive design principles.
  • Solid understanding of back-end technologies including Node.js, RESTful APIs, and server-side frameworks.
  • Experience with cloud platforms, specifically AWS, and familiarity with related services.
  • Knowledge of JSON, Kibana, JIRA, and Jenkins is a plus.
  • Strong problem-solving skills and the ability to work independently as well as in a team.
  • Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams.
  • Knowledge or experience on Node-RED is good to have.
  • Should be proficient using AI tools.

If you are a self-motivated individual with a passion for delivering high-quality software and want to work with a team that values creativity and innovation, then we encourage you to apply for this exciting opportunity. Join our team and be part of a dynamic environment where your expertise will make a significant impact on our software products. 

Please submit your resume along with any relevant project portfolios or GitHub repositories for consideration.

Top Skills

Ai Tools
Angular
AWS
Express.Js
Jenkins
JIRA
JSON
Kibana
MongoDB
Node.js

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