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Remote Software Engineer Spotify Jobs in Connecticut

Relativity

Software Engineer

Bridgeport, CT · On-site +1

Posting Type Hybrid/Remote Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... This role reports to the Manager of Software Engineering and provides the opportunity to work on ...

Keylent Inc

Sr Software Engineer

Middletown, CT · Remote

$124K - $164K/yr

Python Developer Location: Middle town NJ, Remote: NO JD Good Python experience with: * Develop and maintain various software products * Responsibilities include writing and testing code * Debugging ...

Hyperfine

Senior Software Engineer, Cloud

Guilford, CT · On-site +1

$143K - $165K/yr

The goal of this role is to design and develop key software systems for remote setup, management ... This engineer will work closely with other software engineers, product managers, UI/UX designers ...

Hyperfine

Senior Software Engineer, Cloud

Guilford, CT · On-site +1

$143K - $165K/yr

The goal of this role is to design and develop key software systems for remote setup, management ... This engineer will work closely with other software engineers, product managers, UI/UX designers ...

Hyperfine

Senior Software Engineer, Cloud

Guilford, CT · On-site +1

$143K - $165K/yr

The goal of this role is to design and develop key software systems for remote setup, management ... This engineer will work closely with other software engineers, product managers, UI/UX designers ...

Cardinal Health

Software Engineer

Hartford, CT · Remote

Collaborate with software vendor partners as a technical SME/liaison, understanding application ... Remote Candidates who are back-to-work, people with disabilities, without a college degree, and ...

Relativity

Staff Software Engineer

Bridgeport, CT · On-site +1

$174K - $262K/yr

Posting Type Hybrid/Remote Job Overview Who We Are Relativity is a leading legal data intelligence ... What We Do At Relativity, engineers don't just write code-they shape how industries uncover ...

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Remote Software Engineer Spotify information

How does a remote software engineer at Spotify typically collaborate with distributed teams?

As a remote software engineer at Spotify, you will regularly collaborate with team members across different time zones using tools like Slack, Zoom, and collaborative coding platforms such as GitHub. Agile ceremonies, such as daily standups, sprint planning, and code reviews, are conducted virtually to maintain alignment. Clear communication and proactive documentation are vital, and you'll often pair program or participate in asynchronous discussions to resolve issues and share ideas. Spotify emphasizes a strong team culture, so virtual social events and regular check-ins are common to foster connection and support.

What are the key skills and qualifications needed to thrive as a Remote Software Engineer at Spotify, and why are they important?

To excel as a Remote Software Engineer at Spotify, you need strong programming skills (commonly in languages like Java, Python, or JavaScript), experience with scalable system design, and a relevant degree or equivalent experience. Familiarity with cloud platforms (such as AWS or Google Cloud), CI/CD tools, and version control systems like Git is typically required. Outstanding communication, self-motivation, and collaboration skills are essential for thriving in a remote, cross-functional team environment. These abilities ensure you can build reliable, innovative software solutions while effectively contributing to Spotify’s distributed global teams.

What does a Remote Software Engineer at Spotify do?

A Remote Software Engineer at Spotify is responsible for designing, building, and maintaining software applications and systems that support Spotify's music streaming platform. They collaborate with cross-functional teams to develop new features, improve performance, and ensure a seamless user experience for millions of listeners. Working remotely, they leverage modern programming languages, tools, and agile methodologies, while staying connected with their team through digital communication channels. The role requires strong technical skills, effective communication, and the ability to work independently from any location.

What is the difference between Remote Software Engineer Spotify vs Remote Data Engineer Spotify?

AspectRemote Software Engineer SpotifyRemote Data Engineer Spotify
Required CredentialsBachelor's in CS or related field, programming skillsBachelor's in CS, Data Science, or related field, strong SQL and Python skills
Work EnvironmentCollaborates with software development teams, Agile environmentWorks with data pipelines, analytics teams, cloud platforms
Employer & Industry UsageCommonly employed in tech companies, including SpotifyUsed in data-driven roles within similar tech companies
Search & Comparison IntentFocuses on software development tasks at SpotifyFocuses on data infrastructure and analytics at Spotify

While both roles require technical skills and are employed within Spotify, a Remote Software Engineer primarily develops applications and features, whereas a Remote Data Engineer focuses on building data pipelines and managing data infrastructure. The choice depends on whether you prefer software development or data management within Spotify's environment.

What are popular job titles related to Remote Software Engineer Spotify jobs in Connecticut? For Remote Software Engineer Spotify jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Remote Software Engineer Spotify jobs in Connecticut look for? The top searched job categories for Remote Software Engineer Spotify jobs in Connecticut are:
What cities in Connecticut are hiring for Remote Software Engineer Spotify jobs? Cities in Connecticut with the most Remote Software Engineer Spotify job openings:
Remote Software Engineer Spotify jobs near you
Infographic showing various Remote Software Engineer Spotify job openings in Connecticut as of June 2026, with employment types broken down into 2% Internship, 34% Full Time, 44% Part Time, 5% Temporary, and 15% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.
Software Engineer

Software Engineer

Relativity

Bridgeport, CT • On-site, Remote

Other

Medical, Retirement

Posted 23 days ago

Job description

Posting Type

Hybrid/Remote

Job Overview

WHO WE ARE
Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other high-stakes legal work where accuracy and trust are crucial.
The world's largest law firms, corporations, and government agencies rely on Relativity's legal AI software to securely surface and manage the most relevant and impactful information in their matters. Beyond our commercial impact, we're deeply committed to expanding access to technology for academic institutions through Relativity Academic and supporting pro bono legal work through Justice for Change.
WHAT WE DO
At Relativity, engineers don't just write code. They build the systems that power AI-driven workflows at massive scale, enabling customers to uncover insights and act on complex data with confidence.
aiR Services Team
The aiR Services team builds the shared backend platform that powers Relativity's generative AI products. These systems enable secure and scalable access to foundation models across the aiR Suite while handling challenges such as limited model capacity, global data privacy requirements, and fair usage across products and customers. The team works on high-throughput, distributed systems that route AI traffic across regions and providers, protect downstream services from reliability risks, and optimize cost and performance at scale.
If you're excited about building platforms that power an entire product suite, working with generative AI systems in production, and solving distributed systems challenges at global scale, this is a high-impact team to join.

Job Description and Requirements

ABOUT THE ROLE

As a Software Engineer, you will build and operate backend services that power Relativity's generative AI platform, aiR. You will work at the intersection of distributed systems, cloud infrastructure, and applied AI, helping to deliver reliable, scalable systems that sit on the critical path of AI-powered workflows.

This role reports to the Manager of Software Engineering and provides the opportunity to work on multi-region, multi-cloud systems that handle large-scale AI traffic and complex orchestration challenges.

WHAT YOU'LL DO

  • Design and build performant, scalable, and secure backend services with a strong focus on quality, not just meeting requirements
  • Collaborate with a software development team to deliver high-quality, reliable systems that operate at massive scale
  • Develop and maintain systems that support high-throughput AI workloads, including asynchronous job orchestration and distributed processing
  • Write comprehensive unit and integration tests supported by static analysis and thoughtful test strategy development
  • Contribute to improving engineering processes by recommending enhancements to tools, workflows, and practices
  • Participate in pair programming to improve software quality and share design and implementation knowledge
  • Contribute to building systems that route and manage AI traffic efficiently while maintaining reliability and fairness across workloads

WHAT WE'RE LOOKING FOR

Required

  • Bachelor's degree in Computer Science or a related field, or equivalent practical experience
  • Experience building backend services using languages such as C#, Python, or similar
  • Understanding of software engineering disciplines and the ability to work across multiple layers of the application stack
  • Strong foundational knowledge of distributed systems, scalability, and backend service design

Preferred

  • Understanding of DevOps principles and experience with tools such as GitHub Actions
  • Experience working with large language model (LLM) APIs or generative AI systems
  • Experience designing and building scalable systems in Azure or other cloud platforms
  • Experience with Kubernetes, serverless technologies, and cloud-native architectures
  • Familiarity with domain-driven design and event-driven architecture
  • Experience with AI-driven development practices or AI-assisted coding tools
  • Awareness of emerging technology trends and their practical application in engineering

WHY WE COULD BE A GREAT FIT

Impactful AI Platform

  • Build foundational systems that power Relativity's generative AI capabilities and enable products across the aiR Suite.

Distributed Systems at Scale

  • Work on high-throughput, multi-region services that handle large volumes of AI traffic reliably and efficiently.

Cutting-Edge Technology

  • Gain hands-on experience with generative AI systems, cloud-native infrastructure, and modern distributed architectures.

Growth Opportunity

  • Develop deep expertise in backend systems, cloud platforms, and AI-driven services while working on highly visible, impactful projects.

Collaborative Culture

  • Work with a team that values strong engineering fundamentals, shared ownership, and continuous learning.

Compensation and Benefits

  • Competitive salary, health and retirement programs, wellness resources, discretionary time off (DTO), parental leave for primary and secondary caregivers, company-wide breaks, home office stipend, and an equity program.

Relativity is committed to competitive, fair, and equitable compensation practices.

This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.

The expected salary range for this role is between following values:

$79,000 and $119,000

The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.

Required Skills:

Automation, Documentations, Engineering Design, Problem Solving, Process Improvements, Project Management, Quality Assurance (QA), Research and Development, System Integration, Troubleshooting

Apply