Junior Engineer, BE

1 week ago

Bengaluru, Karnataka, India Degreed Full time
Beware of fraudulent recruitment activities impersonating Degreed.

Scammers are using our name, "Degreed", impersonating our website, and claiming to be affiliated with Degreed as part of a recruitment scam.

Please note that Degreed does not recruit talent through WhatsApp, Telegram or any other direct-messaging systems other than e-mail and, during the interview process, phone numbers.

We also do not request sensitive personal or financial information in an unsolicited manner, nor do we offer employment opportunities that require upfront payments or promise unrealistic returns.

Degreed is the upskilling platform that connects learning to opportunities.

We integrate everything people use to learn and build their careers—skill insights, LMSs, courses, videos, articles, and projects—and match everyone to growth opportunities that fit their unique skills, roles, and goals.

Degreed exists to discover, empower and recognize the next generation of the world's expertise.


Degreed India Engineering is looking for an entry level Junior Engineer, BE & AI who is excited about architecting and implementing scalable systems to join our team.

In this position you will work with the Product Manager, Engineering Manager, AI Director and other team members to implement reliable, robust and scalable solutions for external integrations as well add new features, fix bugs, and drive the Degreed product forward.

We value individuals who are lifelong learners and passionate about taking new challenges with a continuous improvement mindset.
This role will be based onsite in Bengaluru, India.

After an in-office onboarding period, incumbents are expected to be available in office for a few days per week as part of hybrid work model.

Candidates will also be required to travel internationally 1-2 times annually for full company gatherings.

Day in the Life


Work with the Product Manager and the team in planning and elaborating technical stories for sprint releasesParticipate in troubleshooting production issues and work with the team to continuously evaluate and improve the quality, reliability and scalability of the Integrations platformConduct research, build proof-of-concepts, and participate in architecture/design discussionsContinuously evaluate and recommend improvements to existing engineering processes including deployment, monitoring, and troubleshootingDesign, develop, and maintain cloud-based AI applications, leveraging a full-stack technology stack to deliver high-quality, scalable, and secure solutions.

Collaborate with cross-functional teams, including product managers, data scientists, and other engineers, to define and implement analytics features and functionality that meet business requirements and user needs.

Utilize Kubernetes and containerization technologies to deploy, manage, and scale analytics applications in cloud environments, ensuring optimal performance and availability.

Develop and maintain APIs and microservices to expose analytics functionality to internal and external consumers, adhering to best practices for API design and documentation.

Implement robust security measures to protect sensitive data and ensure compliance with data privacy regulations and organizational policies.

Who You Are

There are only a handful of folks who meet all qualifications.

We care more about hiring engineers that have a track record of shipping impactful, quality software than checking all of the boxes.

So whether you meet all the qualifications or a partial set, we want to hear from youBachelor's degree in Computer Science or equivalent experience0-3 years of python experience0-3 years of software development experience with C#/.NET0-3 years of hands-on experience with MS SQL Server0-3 years of solid understanding of data structures and algorithmsCuriosity, proactivity and critical thinkingStrong computer science fundaments in data structures, algorithms, automated testing, object-oriented programming, performance complexity, and implications of computer architecture on software performance.

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