

Description
Job Description:
Company: Springer Capital
Type: Internship (Remote, Part-Time/Full-Time)
Duration: 3–6 months
Start Date: Rolling
Compensation:
About the role:
We’re building high-performance backend systems that power our financial and ESG intelligence platforms and we want you on the team. As a Backend Engineering Intern, you’ll help us develop scalable APIs, automate data pipelines, and deploy secure cloud infrastructure. This is your chance to work alongside experienced engineers, contribute to real products, and see your code go live.
What You'll Work On:
As a Backend Engineering Intern, you’ll be shaping the systems that power financial insights.
Engineering scalable backend services in Python, Node.js, or Go
Designing and integrating RESTful APIs and microservices
Working with PostgreSQL, MongoDB, or Redis for data persistence
Deploying on AWS/GCP, using Docker, and learning Kubernetes on the fly
Automating infrastructure and shipping faster with CI/CD pipelines
Collaborating with a product-focused team that values fast iteration
What We’re Looking For:
A builder mindset – you like writing clean, efficient code that works
Strong grasp of backend languages (Python, Java, Node, etc.)
Understanding of cloud platforms and containerization basics
Basic knowledge of databases and version control
Students or self-taught engineers actively learning and building
Preferred skills:
Experience with serverless or event-driven architectures
Familiarity with DevOps tools or monitoring systems
A curious mind for AI/ML, fintech, or real-time analytics
What You’ll Get:
Real-world experience solving core backend problems
Autonomy and ownership of live features
Mentorship from engineers who’ve built at top-tier startups
A chance to grow into a full-time offer

About Springer Capital
About
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At Lucidity, we are a year and a half old company and we work on helping large enterprises manage their cloud storage platform.
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- ESOPs
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We’re Excited About You If You Have Excellent coding skills in Java/J2EE Strong problem-solving skills, data structures and algorithms. Have experience in building and maintaining large scale web applications in service-oriented architecture. Good Understanding of Java 8 with proven hands-on skills Experience in Spring Framework - Spring Boot, Spring Data, Spring REST Experience in Spring Reactive Good understanding of SQL and MYSQL Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations Understands version control branching strategies Understands different major language paradigms (object oriented / functional /reactive) Understanding of AWS is a plus Can reason about complexity of algorithms (time and space) Can debug code at ease and ensure quality code is produced Good verbal and written communication skills
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