Turing

Remote Spring Boot developer jobs at U.S. companies

We, at Turing, are looking for talented remote Spring Boot developers who can build production-grade, standalone applications. Here’s your chance to work long-term, full-time for Silicon Valley companies and extend your career milestone.

Find remote software jobs with hundreds of Turing clients

Job description

Job responsibilities

  • Build and maintain testable and efficient standalone applications
  • Provide guidance to junior team members and perform code reviews
  • Support rapid iteration and development of high quality software applications
  • Contribute and recommend innovative ideas towards the development of new codes and efficiently scale existing ones
  • Successfully implement system improvements, troubleshoot and debug the application

Minimum requirements

  • Bachelor’s/Master’s degree in computer science (or equivalent experience)
  • 3+ years of experience working with Spring Boot and related frameworks like Spring Data and Spring RestController (exceptions for highly skilled devs)
  • Excellent knowledge of Java, AWS, J2EE, web services and microservices
  • Experience working with Agile/Scrum, continuous integration and deployment
  • Prolific understanding of REST services and security principles

Preferred skills

  • Experience with databases like MongoDB, SQL/MySQL
  • Skilled at developing and maintaining CI/CD pipelines
  • Experience with Maven, Git, Swagger, Rabbit MQ
  • Strong foundation in data structures, algorithms and object-oriented design
  • Experience in creating unit test using JUnit, Mockito or PowerMock
  • Working knowledge of markup languages such as JSON, YML, etc.

Interested in this job?

Apply to Turing today.

Apply now

Why join Turing?

Elite US Jobs

1Elite US Jobs

Turing’s developers earn better than market pay in most countries, working with top US companies.
Career Growth

2Career Growth

Grow rapidly by working on challenging technical and business problems on the latest technologies.
Developer success support

3Developer success support

While matched, enjoy 24/7 developer success support.

Developers Turing

Read Turing.com reviews from developers across the world and learn what it’s like working with top U.S. companies.
4.65OUT OF 5
based on developer reviews as of June 2024
View all reviews

How to become a Turing developer?

Work with the best software companies in just 4 easy steps
  1. Create your profile

    Fill in your basic details - Name, location, skills, salary, & experience.

  2. Take our tests and interviews

    Solve questions and appear for technical interview.

  3. Receive job offers

    Get matched with the best US and Silicon Valley companies.

  4. Start working on your dream job

    Once you join Turing, you’ll never have to apply for another job.

cover

How to become a Spring Boot developer?

Spring Boot is a Java-based open-source framework for developing microservices. Created by Pivotal Team, Spring Boot is used to create stand-alone and production-ready spring apps. It is a great platform for Java developers who want to create a standalone, production-ready spring application that can be used right away. You may get started with just a few configurations without having to set up a full Spring configuration.

Spring Boot enables developers to construct applications that are ready to use right away. By embedding a web server such as Tomcat or Netty within your program during the initialization phase, you can construct independent applications that run without relying on an external web server. As a result, you may use the Run command to launch your application on any platform.

What is the scope in Spring Boot development?

The Spring Boot Framework is a well-known framework for creating web applications with minimal coding. With the help of annotation settings and default code, it allows for speedier web creation. It creates a class for you based on that criterion. In the development phase of a web application, the Spring Boot framework is used for all layers of implementation. Furthermore, because it is a lightweight framework that uses little resources, a Spring Boot developed application will have little impact on your hardware.

Spring Boot is one of the most popular web application frameworks. In comparison to other frameworks for developers, Spring Boot configuration is relatively straightforward. Spring Boot provides the Spring framework's capabilities, such as dependency injection, AOP, security, and web workflow, with little configuration difficulty thanks to the Spring Boot starter parent. Spring Boot is typically used with AngularJS, which uses a RestAPI method.

Frameworks exist to support, guide and level up app development without the manual overhead. They are shaped as prewritten code. SpringBoot is expected to be among the most popular development platforms in the future. According to a study conducted by JetBrains, the Spring Boot's popularity has risen to 61–63 percent, with the Spring's one grabbing 30 percent of the global market share.

What are the roles and responsibilities of a Spring Boot developer?

Spring Boot makes it simple for the developer to construct self-contained, production-ready Spring-based applications that can be "simply run." It scans the application classes' classpath and configured beans, assesses the missing components, and adds them to the project structure, all without the programmer's interaction. This allows developers to concentrate on the application's business logic rather than the project infrastructure, which is handled by Spring Boot. Spring Boot, for example, detects the project's individual beans automatically. There's no need to set them up manually because Tomcat is used as the web application server by default. The primary responsibilities in a Spring Boot developer job are –

  • Using the Spring Boot framework to create backend services/APIs for web applications.
  • Create and maintain code that is efficient, reusable, and dependable.
  • Ensure that the developed application has the best possible performance, quality, and responsiveness.
  • Identify bottlenecks and defects, then come up with strategies to mitigate and fix them.
  • Assist peer developers and management in assuring high-quality business delivery.
  • Provide timely information to the business and internal team, ensuring a stress-free experience for all parties.
  • Junit unit testing, Selenium automated functional testing, or any other equivalent framework.
  • Understanding of how to use RESTful JSON services.
  • Make sure that requirements are translated into back-end code.
  • It's a benefit if you're familiar with the 12 factor app design process and microservices architecture.
  • Create and maintain relevant application documentation while sharing information with other members of the team.
  • Maintain application code to address customer complaints and assure bug resolution in a timely manner.
  • Work successfully as part of a worldwide team.

How to become a Spring Boot developer?

Spring Boot is one of the most important Java frameworks to learn, but as an advanced Java developer, you must also learn all of the technologies that make up the ecosystem, such as containers, cloud, testing Spring Boot applications, advanced Spring Boot features like Actuator, creating Microservices with Spring Boot, and deploying Spring Boot applications on cloud platforms such as AWS, Azure, and GCP. There are some prerequisites to learning Spring. First and foremost, everyone interested in learning Spring must have prior programming knowledge in Java. Experience with Core Java, Advanced Java, JDBC, Servlets, JSPs, and SQL is required. To secure the best paying opportunities, professionals must also invest time to craft an optimized Spring Boot developer resume.

On prominent online platforms, there are various advanced Spring Boot courses for seasoned Java engineers. If you want to take your Spring Boot skills to the next level and become a true full-stack developer that understands Spring Boot projects from start to finish, take up these courses.

Interested in remote Spring Boot developer jobs?

Become a Turing developer!

Apply now

Skills required to become a Spring Boot developer

The first step is to begin studying the core abilities that will enable you to obtain a high-paying Spring Boot developer job. Let's see what you need to know.

1. Container, Dependency, and IOC

This subject focuses on the fundamentals of spring containers, as well as the primary benefits of IOC and Dependency Injection, as well as how Spring Framework implements them. What are dependency injection and IOC? These are some of the questions you'll need to know the answers to. How does Spring MVC go about implementing them? In Spring, what is application Context? What makes BeanFactory and Applicationcontext different? What is component scanning, and how does it work? How does Spring scan for components? In an integration test, how will you establish an Application Context? What's the best approach to shut off an application context? Is SpringBoot able to help you with this?

2. SpringBean Lifecycle

he lifecycle of a SpringBean is critical, and the developer should understand how they are created, maintained, and destroyed in a Spring container. To build a production-ready spring application, you'll need to be well-versed in this.

3. Aspect-Oriented Programming (AOP)

Another key notion that drives the spring framework is Aspect-Oriented Programming or AOP. It's all about streamlining boilerplate and centralising cross-cutting issues so you can concentrate on business logic. While this is a tedious and difficult subject to learn, you must understand key AOP concepts such as Advice, PointCut, and how AOP works in general.

4. Spring MVC

This is, without a doubt, the most crucial skill to learn. Spring MVC is responsible for the framework's rise to prominence and its victory over Struts, an older type of framework for constructing Java applications. Spring MVC is a Java web application development framework that implements the MVC paradigm.

5. Spring Data JPA

While Spring Data is not a JPA implementation, it does provide a high-level abstraction to make interacting with databases easier. To design an enterprise Spring bot application with databases, you'll need to be familiar with Spring Data JPA.

6. Spring Security

This is another crucial topic for Java and SpringBoot developers alike. You must utilise Spring Security to secure your application, implement authentication and authorization, and so on, whether you are using plain Spring or SpringBoot. It also supports JWT and OAuth2, and to get a good SpringBoot developer job, you'll need a thorough understanding of Spring Boot ideas and API.

7. Spring Boot Testing

Testing is another area to which many Java and Spring developers give insufficient attention, despite its importance. Developers that can write unit tests, construct automated tests, and follow DevOps and SDLC best practises are presently in high demand. That's why understanding how to use unit tests and integration tests to test your spring and Java applications is critical.

8. Spring Cloud

This is a relatively new issue, but it is incredibly significant given the prominence of Cloud Computing and Microservices. Spring Cloud, along with Quarkus and Micronauts, is a leading framework in the Cloud Native environment, where the majority of new Java development is taking place.

9. Spring Boot Actuator

Another key feature of Spring Boot is the actuator, and understanding the Spring Boot Actuator is critical for production support and monitoring. Actuator can be used to expose endpoints and interact with your Spring Boot application while it is running. The purpose of Spring Boot Actuator is to support and monitor your production-ready application.

Interested in remote Spring Boot developer jobs?

Become a Turing developer!

Apply now

How to get remote Spring Boot developer jobs?

Developers are very similar to athletes. To excel at their craft, they need to practice effectively and consistently. They also have to work hard enough so that their skills gradually grow over time. In this regard, there are two main factors that developers need to focus on for this breakthrough to happen: support from someone who has more experience, and more effective techniques in the field while you practice. As a developer, it is important that you know how much to practice. So, make sure someone is available to help and watch for signs of burnout!

Turing has the best remote Spring Boot developer jobs that will suit your career as a Spring Boot developer. Grow quickly by working on challenging technical and business problems using the latest technology. Join a network of the world's best developers and land long-term, full-time Spring Boot developer jobs with better salaries and professional development.

Why become a Spring Boot developer at Turing?

Elite US jobs

Long-term opportunities to work for amazing, mission-driven US companies with great compensation.

Career growth

Work on challenging technical and business problems using cutting-edge technology to accelerate your career growth.

Exclusive developer community

Join a worldwide community of elite software developers.

Once you join Turing, you’ll never have to apply for another job.

Turing's commitments are long-term and full-time. As one project draws to a close, our team gets to work identifying the next one for you in a matter of weeks.

Work from the comfort of your home

Turing allows you to work according to your convenience. We have flexible working hours and you can work for top US firms from the comfort of your home.

Great compensation

Working with top US corporations, Turing developers make more than the standard market pay in most nations.

How much does Turing pay their Spring Boot developers?

At Turing, each Spring Boot developer can set their own rate. However, Turing recommends a salary where we know we can find a long-term fruitful opportunity for you. Our recommendations are based on our assessment of market conditions and the demand we see from our clients.

Frequently Asked Questions

Spring Boot developers are responsible for designing and maintaining enterprise-level software and applications using the Spring frameworks. The primary duties may include developing, programming, troubleshooting, debugging, and updating project-specific web apps.

Our unique differentiation lies in the combination of our core business model and values. To advance AGI, Turing offers temporary contract opportunities. Most AI Consultant contracts last up to 3 months, with the possibility of monthly extensions—subject to your interest, availability, and client demand—up to a maximum of 10 continuous months. For our Turing Intelligence business, we provide full-time, long-term project engagements.

No, the service is absolutely free for software developers who sign up.

Turing is an AGI infrastructure company specializing in post-training large language models (LLMs) to enhance advanced reasoning, problem-solving, and cognitive tasks. Founded in 2018, Turing leverages the expertise of its globally distributed technical, business, and research experts to help Fortune 500 companies deploy customized AI solutions that transform operations and accelerate growth. As a leader in the AGI ecosystem, Turing partners with top AI labs and enterprises to deliver cutting-edge innovations in generative AI, making it a critical player in shaping the future of artificial intelligence.

After uploading your resume, you will have to go through the three tests -- seniority assessment, tech stack test, and live coding challenge. Once you clear these tests, you are eligible to apply to a wide range of jobs available based on your skills.

No, you don't need to pay any taxes in the U.S. However, you might need to pay taxes according to your country’s tax laws. Also, your bank might charge you a small amount as a transaction fee.

We, at Turing, hire remote developers for over 100 skills like React/Node, Python, Angular, Swift, React Native, Android, Java, Rails, Golang, PHP, Vue, among several others. We also hire engineers based on tech roles and seniority.

Communication is crucial for success while working with American clients. We prefer candidates with a B1 level of English i.e. those who have the necessary fluency to communicate without effort with our clients and native speakers.

Currently, we have openings only for the developers because of the volume of job demands from our clients. But in the future, we might expand to other roles too. Do check out our careers page periodically to see if we could offer a position that suits your skills and experience.

View more FAQs

Latest posts from Turing

Activists holding pride flag for June Pride Month 2021

LGBTQ+ Role Models in the Tech Space | Pride Month Series

Alan Turing, Tim Cook, Edith Windsor, Christopher Strachey, Angelica Ross, Lynn Conway, and Jon “Maddog” Hall all...

Read more

‘How Do You Get a Job at Turing’ and Other Questions Answered.

Are you a developer having doubts about Turing Jobs? This article will clear all of your queries...

Read more
Here Are the Five Fastest Growing IT Jobs

Here Are the Five Fastest Growing IT Jobs

If you’re contemplating changing careers in the same domain or embarking on a new career path entirely, you’ve co...

Read more
11 Websites to Test your Code Online

Eleven Great Websites to Test your Code Online

These tools for testing codes make it simple to work, run code online, and collaborate with other developers...

Read more

Turing Named One of America’s Best Startup Employers for 2021 by Forbes

Turing.com has earned a coveted spot on Forbes’ List of America’s Best Startup Employers for 2021. Out of 500 com...

Read more
Top 10 React UI Frameworks to Build Applications

Top 10 React UI Frameworks to Build Applications

The top 10 React frameworks for developers are: 1. React Bootstrap 2. React Redux 3. Material UI 4. Ant Design 5....

Read more
10 Best VueJS Frameworks for Web Development

10 Best VueJS Frameworks for Web Development

The top 10 VueJS frameworks: 1. Bootstrap Vue 2. Vuetify 3. Vue Material 4. Quasar framework 5. Vue Press 6. Grid...

Read more
Angular Material vs Bootstrap: A Detailed Comparison

Angular Material vs Bootstrap: A Detailed Comparison

Angular Material vs Bootstrap, what should you choose as your front-end library? Here’s a detailed comparison bet...

Read more

Leadership

In a nutshell, Turing aims to make the world flat for opportunity. Turing is the brainchild of serial A.I. entrepreneurs Jonathan and Vijay, whose previous successfully-acquired AI firm was powered by exceptional remote talent. Also part of Turing’s band of innovators are high-profile investors, such as Facebook's first CTO (Adam D'Angelo), executives from Google, Amazon, Twitter, and Foundation Capital.

Equal Opportunity Policy

Turing is an equal opportunity employer. Turing prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, disability status, protected veteran status, or any other characteristic protected by law.

Explore remote developer jobs

briefcase
Principal AI Engineer - US NYC

Principal AI Engineer

Location: US(NYC)- 3(WFO)

Employment Type: Full Time (Overlapping EST)

Experience Level: Staff/Principal (8–14 years)


About the Role

Turing is hiring a Staff/Principal AI Engineer to lead enterprise-scale agentic AI implementations for Fortune 500 clients. This is a hands-on engineering role focused on designing and shipping autonomous, tool-calling AI systems — agents that reason over enterprise context, invoke real systems through secure interfaces, and operate reliably at scale under strict latency, cost, and governance constraints.

You will own these systems end to end: the data pipelines feeding them, the backend services around them, the agent orchestration layer, the evaluation harness that keeps them honest, and the cloud infrastructure they run on. We are looking for engineers with genuine software engineering and data science depth who have taken agentic systems all the way to production.

What We're Looking For

Engineering foundation

  • 8–14 years of software engineering experience, with strong hands-on large-scale Python
  • Working depth in at least one systems or backend language — Go, Rust, Java, or C/C++ — and the judgment to know when to reach for it
  • Strong data structures and algorithms.
  • Strong understanding of APIs, microservices, and system design
  • Hands-on experience building and operating data pipelines and production-grade distributed systems.

Agentic AI and LLMs

  • 2+ years of hands-on LLM engineering, with at least couple agentic system you designed and took to production
  • Production experience with agent frameworks — LangGraph, Google ADK, CrewAI, Claude Agent SDK, or equivalent — and the fluency to move between them as the ecosystem evolves
  • Experience building MCP (Model Context Protocol) servers and tool-calling interfaces
  • RAG from first principles: chunking strategy, embeddings, vector and hybrid retrieval, reranking, and response validation
  • Strong experience with vector databases (Milvus, Pinecone, Weaviate, FAISS, etc. or cloud equivalents)
  • Design of guardrails and reliability patterns — validators, policy checks, self-correction loops, deterministic fallbacks, circuit breakers, and rollback paths

Optimization

  • Deep familiarity with token optimization and context-window management — context shaping, pruning, and compaction
  • Latency and cost optimization through caching, model routing, batching, streaming, and parallel tool calls
  • Performance testing and tuning systems against defined SLOs

Evaluation

  • Experience building evaluation frameworks for LLM systems — offline eval sets, continuous online evaluation, and regression detection
  • Instrumentation and traceability suitable for regulated enterprise environments using tools like LangSmith, Langfuse, etc.

Cloud

  • Hands-on AWS: containerized services (ECS/EKS), serverless (Lambda), data services (S3, DynamoDB, Redshift) and orchestration (Step Functions); Azure or GCP equivalents also valued
  • Familiarity with CI/CD pipelines and DevOps practices
  • Infrastructure as code with Terraform or CloudFormation, and mature CI/CD practice

Working traits

  • Strong analytical problem-solving with a bias to ownership and urgency
  • Clear cross-team communication, working directly with client stakeholders to translate business problems into technical roadmaps
  • Able to work productively in ambiguity from system-level documentation and ramp quickly in unfamiliar codebases

Good to Have

  • Experience with managed AI platforms — Amazon Bedrock, Vertex AI, Azure AI — paired with fluency in the underlying fundamentals

Roles & Responsibilities

  • Design and build agentic systems: Lead the architecture and implementation of tool-calling agents that combine retrieval, structured reasoning, and secure action execution with least-privilege access.
  • Productionize LLM applications: Build retrieval pipelines, prompt synthesis, response validation, and self-correction loops, backed by rigorous evaluation.
  • Own the full stack: Deliver the data pipelines, backend services, distributed compute, and orchestration layer that agentic systems depend on — not only the model invocation.
  • Engineer for reliability and governance: Build validator models, adversarial test suites, and policy checks; enforce deterministic fallbacks and rollback strategies; instrument continuous evaluation.
  • Optimize for cost and latency: Drive measurable improvements in token efficiency, response time, and unit economics against defined SLOs.
  • Codebase ownership: Build, maintain, and review high-quality Python and SQL, with an emphasis on reusable components, scalability, and performance.
  • Cloud integration: Deploy AI applications on AWS, Azure, or GCP with optimized resource usage and robust CI/CD.
  • Cross-functional collaboration: Partner with product owners, data scientists, and business SMEs to define requirements and deliver impactful AI products.
  • Mentoring and technical leadership: Set engineering standards and share knowledge across the team, raising the bar on AI and software engineering practice.
Finance
10K+ employees
PythonGoRust+ 4
briefcase
Lead Edge AI & Computer Vision Engineer

Lead Edge AI & Computer Vision Engineer

  • Location: USA [with regular on-site travel required to client site]
  • Target Start Date: 1 Sep
  • Time Commitment: 8 weeks full-time
  • Experience Level: 12–15+ Years

Core Objective: Architect, benchmark, and optimize an end-to-end computer vision and low-latency execution pipeline—combining spatial geometric math with low-level C++/CUDA acceleration directly on NVIDIA Jetson embedded edge hardware (Orin NX / AGX Orin) to achieve sub-10 ms processing latency.

Key Responsibilities

  1. Model Selection & Spatial Math: Evaluate real-time detection topologies (e.g. YOLO) at 100+ FPS and build 2D perspective homography unwarping, lens undistortion, and spatial algorithms to convert pixel coordinates into physical millimeter units within tight error bounds (millimeter level accuracy).
  2. TensorRT INT8 Acceleration: Execute Post-Training Quantization to compile PyTorch/ONNX models into high-throughput TensorRT INT8/FP16 engines on Jetson Orin hardware without accuracy degradation.
  3. Zero-Copy Memory Architecture:  Engineer zero-copy memory pipelines using NVIDIA Memory Management and DMA transfers to eliminate bottlenecks.
  4. Compiled C++ Execution & I/O: Build compiled C++17 execution frameworks with multi-threaded lock-free ring buffers and non-blocking asynchronous socket communication.
  5. Nsight Profiling & Roadmapping: Instrument stage-by-stage pipeline latency using NVIDIA Nsight Systems/NVTX markers to bound tail latency, author feasibility reports, and design technical roadmaps.

Key Qualifications & Experience

  1. Full-Stack Edge AI Experience: 12–15+ years of experience bridging real-time computer vision algorithm design, spatial geometry, and low-level C++/CUDA execution on embedded edge hardware.
  2. NVIDIA Jetson Ecosystem: Deep expertise in Jetson embedded platforms (Orin NX, AGX Orin, L4T, power profiles, core pinning) and a proven track record compiling/tuning TensorRT FP16/INT8 engines via PTQ/QAT.
  3. Optical & Spatial Geometry: Expertise in 2D/3D camera calibration, perspective homography transformations, lens distortion modeling, and millimeter sizing math in industrial settings.
  4. Low-Latency Systems Engineering: Expertise in zero-copy shared memory, DMA frame buffers, lock-free queues, custom CUDA plugins, and microsecond profiling via Nsight Systems and NVTX markers.
  5. Tooling & Industrial I/O: Proficiency in C++17, Python, PyTorch, OpenCV, CUDA, non-blocking asynchronous sockets (UDP, PLC integration), and building automated dataset benchmarking harnesses.
Manufacturing
10K+ employees
C++CUDANVIDIA Omniverse+ 5
sample card

Apply for the best jobs

View more openings
Turing books $87M at a $1.1B valuation to help source, hire and manage engineers remotely
Turing named one of America's Best Startup Employers for 2022 by Forbes
Ranked no. 1 in The Information’s "50 Most Promising Startups of 2021" in the B2B category
Turing named to Fast Company's World's Most Innovative Companies 2021 for placing remote devs at top firms via AI-powered vetting
Turing helps entrepreneurs tap into the global talent pool to hire elite, pre-vetted remote engineers at the push of a button

Work with the world's top companies

Create your profile, pass Turing Tests and get job offers as early as 2 weeks.