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Top Remote Senior Level Scala Jobs in Philadelphia, PA

76+ Job Results
13 Days Ago
2 Locations
Remote
21 Employees
Senior level
21 Employees
Senior level
Information Technology • Software • Consulting
The Sr. Fullstack Engineer will design, develop, and maintain scalable applications while collaborating with teams to ship new features. Responsibilities include writing efficient code, implementing backend services using Scala, Groovy, Kotlin, or Java, and managing applications with AWS. They will also participate in code reviews and leverage emerging technologies to enhance solutions.
13 Days Ago
USA
Remote
2,000 Employees
138K-254K Annually
Senior level
2,000 Employees
138K-254K Annually
Senior level
Healthtech • Machine Learning • Social Impact • Software
As a Senior Backend Engineer, you will drive impactful projects for the Customer Experience team, prioritizing engineering efforts, leading project execution, designing and implementing systems, and mentoring engineers. You'll ensure the team's success while maintaining high standards of engineering quality and availability.
Top Benefits:
401-K
Company Equity
Company Outings
+33 More
14 Days Ago
2 Locations
Remote
149 Employees
99K-194K Annually
Senior level
149 Employees
99K-194K Annually
Senior level
Fintech
As a Senior Software Engineer at Dwolla, you will design and develop applications using Scala, TypeScript and C#. You will be involved in code reviews, mentoring junior engineers, and ensuring high-quality solutions that meet customer needs through collaboration and communication. Additionally, you will handle bug repairs, production issues, and prioritize tasks effectively.
18 Days Ago
United States
Remote
300 Employees
Senior level
300 Employees
Senior level
Cloud • Information Technology • Security • Software • Cybersecurity
As a Senior JVM Software Engineer, you will design and implement microservices using Java and Spring, maintain RESTful APIs, and collaborate with global teams to solve complex challenges in a fast-paced environment. You will also mentor other engineers and refine coding and API standards.
Top Benefits:
401-K
Commuter Benefits
Company Equity
+35 More
21 Days Ago
US
Remote
5,360 Employees
Senior level
5,360 Employees
Senior level
Payments • Software
As a Backend Engineer at Stripe, you will design and build scalable platforms and systems for the sales process, collaborating across various teams to create solutions that support the business while maintaining high engineering standards. You'll be responsible for API design, data modeling, and maintaining large-scale production services, while debugging issues and improving tools and processes.
21 Days Ago
US
Remote
18 Employees
Senior level
18 Employees
Senior level
Information Technology • Legal Tech • Software
As a Staff Software Engineer, you will architect and implement backend services, primarily in Scala, collaborating with product and executive teams. You'll enhance the platform's architecture and ensure coding standards are met, while delivering solutions that meet business needs.
22 Days Ago
United States
Remote
1,900 Employees
207K-289K Annually
Senior level
1,900 Employees
207K-289K Annually
Senior level
Information Technology • Mobile • News + Entertainment • Social Media
As a Staff Software Engineer on the Data Snapshot team at Reddit, you will design and create a product for delivering high-quality data to partners, enhance the data infrastructure for real-time processing, and mentor other engineers. You'll collaborate with teams across the organization to ensure data quality and consistency at scale.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+46 More
24 Days Ago
2 Locations
Remote
504 Employees
187K-269K Annually
Senior level
504 Employees
187K-269K Annually
Senior level
News + Entertainment
As a Senior Data Engineer, you will lead the development of scalable data infrastructure and real-time systems to handle large-scale raw data. Responsibilities include building tools for data analysis, improving data quality, implementing CI/CD pipelines for data operations, and addressing data requests while collaborating closely with machine learning engineers and data scientists.
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