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Remote senior Golang engineers jobs

We, at Turing, are looking for talented remote senior Golang engineers who will lead the systems design, architecture, compliance, and environment-focused software engineering development practice using Golang. Get this excellent opportunity to collaborate closely with the best minds while working at top U.S. firms.

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Job description

Job responsibilities

  • Collaborate with project owners to analyze requirements and plan development roadmap
  • Develop optimized, scalable, and modular software using required technologies
  • Take ownership of designing and developing code and unit testing scripts
  • Develop and code back-end components and connect applications to other web services
  • Come up with feasible solutions to complex problems
  • Work on providing a highly automated cloud-based runtime environment
  • Contribute to improving software engineering processes, tooling, and standards
  • Take ownership of projects and drive tasks to completion within scheduled timeline

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 5+ years of experience in software development in web and mobile (rare exceptions for highly skilled developers)
  • Solid understanding of Golang and its paradigms
  • Provable proficiency with Golang templating, common frameworks, and tools
  • Extensive experience in system design and architecture
  • Good understanding of common Goroutine and channel patterns
  • Experience with popular Go web frameworks like Revel, and router packages
  • Good grasp on CI/CD techniques and tooling
  • Fluency in English language for effective communication
  • Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

  • Familiarity with DynamoDB, NoSQL, AWS, Redshift
  • Technical expertise in integrating 3rd party APIs like REST, OAuth, JSONP, etc.
  • Exposure to public cloud platform services including AWS, Azure, or GCP SDKs
  • Efficiency in keeping clear, concise documentation for public API consumption
  • Aware of developing and deploying with AWS tools and systems
  • Ability to troubleshoot operating systems and database connectivity issues
  • Excellent knowledge of the Agile Development process
  • Strong team management and leadership skills
  • Strong analytical, technical, and communication skills

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How to become a senior Golang engineer ?

Golang is rapidly displacing Python. We'll explain why you should choose Golang and how to become a Senior Golang engineer in this section. Before making a final selection, it is critical to gain a better understanding of the language.

Engineers select the best programming language for a project from a wide range of options. Because of its many built-in functions and other benefits for developers, Golang, a programming language developed by Google, has risen to the top of the list of programming languages. First released in 2009, Golang now has become quite popular among engineers. There are more jobs for Senior Golang engineers than in other popular languages.

Because of its many advantages, Golang will be the reference language for software development in 2021 and beyond. Engineers are migrating from Python to Go, and it's quickly becoming the most popular language among clients.

What is the scope of Golang development?

Go is one of the most recent additions to the current programming language landscape. It bills itself as "an open-source programming language that enables creating simple, reliable, and efficient software simple, reliable, and efficient." It also allows programmers to design reliable and efficient software that is concise, simple, and secure. Go / Golang, as a modern programming language, may assist you in quickly developing cross-platform and multi-element products. Because Go is simple to programme and test, there are more Golang remote developer jobs available.

In the workplace and in businesses, Golang is becoming more popular. According to a survey, 76% of respondents use Go at work, and 66% believe it is vital to their company's success. Go has a high level of overall satisfaction: 92% of respondents are happy with it. The digital industry is witnessing an all-time high growth in Golang development.

Go has a lot of potential, and it is definitely a language worth learning more about. Recently, Go has begun to be employed in artificial intelligence and machine learning, as well as a variety of other applications. So, in general, Go is a nice language to learn.

What are the roles and responsibilities of a Senior Golang engineer?

The employment function of a Senior Golang engineer is frequently influenced by the project type, required upgrades, or the managers. They are primarily responsible for developing a high-quality, error-free technology infrastructure, establishing and maintaining an effective operational environment with a 99.99 percent uptime, and delivering high-quality, prompt, cost-effective, and reliable technology services to provide customers with the best impossible experience possible.
In general, these are the roles and responsibilities of Senior Golang engineers.

  • Development: Despite their expertise in testing and development, many Senior Golang engineers are required to develop solutions without a plan. You are a part of the bigger picture, and you must be ready to contribute significantly to the development of creative solutions. This entails designing software solutions that function across numerous platforms for Senior Golang engineers.
  • Creating Software Solutions: A Senior Golang engineer's job is to use the essential technologies to produce optimised, scalable, and modular software. Your job include creating and coding backend components as well as connecting applications to other online services.
  • Writing Codes: A Senior Golang engineer's main purpose is to build efficient code for the complete software infrastructure. Most Senior Golang engineers work in teams or cooperate with other developers, therefore they only work on specific software solutions or product components. As a result, as part of a Senior Golang engineer's professional obligations, it's critical to comprehend the deployment process.
  • Testing codes: the goods that are issued must be bug-free; you must constantly test, update, and patch them. The Senior Golang engineer tests his code on a regular basis. A Senior Golang engineer must examine problems or errors in the products in order to create, implement, and test the code.

How to become a Senior Golang engineer?

To get a position as a Senior Golang engineer, you'll need a lot of effort, dedication, and time. Enrolling in college-level Golang development programs is the most obvious option to receive a Golang development education. Computer science is the most popular programme for college graduates who want to become developers. It's worth noting, though, that being a Golang developer does not necessitate a computer science degree or diploma. If you are familiar with Go/Golang and its tech stacks, finding a remote Senior Golang engineer job is simple. Choose a software solution to work on and then apply it as much as possible to various activities and coding projects to get proficient with it.

Understanding how to use codes to apply your technical knowledge in real-world assignments and tasks tests your talents while also allowing you to learn as you go. As a Senior Golang engineer, you'll want to build up a portfolio that you can show to potential companies.

Let's take a look at the abilities and techniques you'll need to become a successful Senior Golang engineer:

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Skills required to become a Senior Golang engineer

The first step is to begin studying the necessary abilities that will enable you to obtain high-paying Senior Golang engineer positions. Let's take a look at what you'll need to know to work as a Senior Golang engineer.

1. Go libraries

Go Kit, GORM, Gen, and CLI are the most widely used Go libraries. Good libraries and packages should make working with Go quite easier. Each has its own distinct qualities, so picking one that best fits your objectives and working on it is a good idea.

2. Error handling

It is a vital component of writing code that is strong, dependable, and maintainable. Self-programming might assist you in adapting to new surroundings.
When writing libraries or packages that others use, error handling is part of creating robust, reliable, and trustworthy code. Error handling is an important aspect of developing strong, reliable, and trustworthy code when writing libraries or packages that others use.

3. Testing software programmes

It is likely the most crucial task a software developer can undertake. A developer can have a high level of confidence that a programme will operate by testing the expected functionality of the code. Furthermore, whenever a developer makes a code change, he or she may run tests with assurance that no mistakes or regressions have been introduced. A developer can also declare the intended behavior of a programme through software testing.

4. JSON

The JSON file is another basic and probably more useful component in Golang. You must build JSON files as a senior Golang engineer. It simplifies organizing and maintaining package data, dependencies and project scripts for senior Golang engineers.

5. Databases

A developer's ability to work with databases is a must-have skill. Developers must be able to do a wide range of tasks, including saving records, creating, adding, updating, and removing data. It is necessary to have familiarity with relational databases such as PostgreSQL or MySQL in order to construct any form of application or programme. Knowledge of log frames, with Zap being the most significant for Go, might also be beneficial.

6. Testing

End-to-end testing and outside-in testing are two terms used to describe functional testing. These tests ensure that the software performs as expected by the end user. You can judge a programme from the outside without having to think about how the software works on the inside.

7. Integration tests

These are used to see how different sections of a programme interact with one another. Integration tests look at how the components of an application interact, similar to how unit tests look at the smallest elements of a programme.

8. Unit testing

It is maybe the most critical skill for novice Go developers. In the Go standard library, there is a test package. However, because Go is minimalist, you may need additional testing tools, such as the popular Ginkgo and GoCheck frameworks. Ginkgo can also be used for integration and behavioral testing.

9. A command-line programme

It is a programme that is meant to be run from a terminal. You must learn how to use Go to develop a command-line programme. You'll learn how to read arguments and build subcommands. It was common to interact with a computer via the command line before graphical user interfaces (GUIs). Command-line utilities are still a popular and convenient way for programmers and system administrators to interact with an operating system today.

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How to get remote Senior Golang engineer jobs?

Because of Golang's infrastructure, senior Golang engineers are among the most in-demand individuals in the tech market. They can help companies in a variety of ways by utilizing Go's dynamic features. They must, however, put in sufficient effort to achieve that professional level of software development. In this regard, developers should concentrate on two key things in order to reach this level: support from someone with more experience and more effective techniques in the field when practicing. It's critical to know how much to practice as an engineer. As a result, make sure you assemble a team that can aid and lead you through the development process!

Turing features the greatest remote Senior Golang engineer opportunities for your engineering career. Working on difficult technical and business problems with cutting-edge technologies will help you advance quickly. Join a network of the world's top developers to get long-term full-time remote developer jobs with greater pay and opportunities for advancement.

Why become a Senior Golang engineer at Turing?

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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 Senior Golang engineers?

Turing provides the top remote Senior Golang engineer jobs for you. Work on difficult technical and business problems with cutting-edge technologies to accelerate your career. Join a network of the world's top developers to get long-term full-time remote developer employment with greater pay and advancement opportunities.

Frequently Asked Questions

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.

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.

Ideally, a remote developer needs to have at least 3 years of relevant experience to get hired by Turing, but at the same time, we don't say no to exceptional developers. Take our test to find out if we could offer something exciting for you.

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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

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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
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