Turing

Remote senior Salesforce developer jobs

We, at Turing, are looking for a senior Salesforce developer who will be designing, coding, and implementing Salesforce applications and driving forward the Salesforce development team. Here's the best chance to collaborate with top industry leaders while working with top Silicon Valley companies.

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Job description

Job responsibilities

  • Communicate with clients to determine functional and technical requirements for their business
  • Design, code, and implement Salesforce applications
  • Take ownership of application design, configuration, testing and deployment
  • Participate in configuration and customization of the Salesforce platform
  • Take responsibility of developing and executing testing, training and documentation
  • Participate in the sales cycle like solution definition, pre-sales, estimating and project planning, as required
  • Make sure to adhere to the best practices to perform operational support, enhancements, bug fixes to the Salesforce platform
  • Engage in continuous improvement efforts for application design
  • Provide technical assistance and end user troubleshooting for bug fixes, enhancements
  • Keep collaborating with both technical teams and business owners through out the design and implementation process

Minimum requirements

  • Bachelor’s/Master’s degree in Computer Science, Engineering (or equivalent experience)
  • 5+ years of experience working on Salesforce platforms (rare exceptions for highly skilled developers)
  • Hands-on experience with complex business systems integration and object-oriented design patterns and development
  • Effective software engineering skills in Apex, LWC, SOQL, Unit Testing, etc.
  • Proficient with core web technologies including HTML5, JavaScript and jQuery
  • Solid knowledge of relational databases, data modeling, and ETL tools
  • Experience with web services like REST & SOAP, JSON & XML, etc.
  • Fluent in English to communicate effectively
  • Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

  • Salesforce Platform Developer I certification is desired
  • Knowledge of various cloud computing platforms
  • ITIL v3 foundations certification is preferred
  • Experience with Agile development methodologies
  • Keen attention to detail
  • Great technical, analytical and problem-solving skills
  • Excellent consultative and leadership skill

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Turing’s developers earn better than market pay in most countries, working with top US companies.
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2Career Growth

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How to become a Senior salesforce developer ?

Salesforce is a popular customer relationship management (CRM) platform that brings businesses and their customers together. An integrated solution, Salesforce provides a single, shared view of every customer to all the individual departments, like marketing, sales, commerce, service, etc. With CRM solutions, companies are not only able to identify problems but also gain insights into their sales plans and strategies. And to reap the benefits of Salesforce, businesses need to hire the best Salesforce developers.

These developers collaborate with their sales team, customer support, and marketing team to render business needs into productive tools.

What is the scope in Salesforce development?

The market for app-based and web-based enterprises has never been more lucrative, with exponential growth in the number of startups and a boom in the use of smart devices. A Salesforce developer creates and maintains apps and websites, making them an excellent choice for people who want to pursue a career as an app developer or web developer.

In the United States, developers typically take two primary paths to become Salesforce certified: One can become a Salesforce admin through a self-study program or by attending an authorized training institute. The other potential route is to become a Salesforce developer by obtaining an associate degree from a college or university that offers relevant programming courses. Since salesforce developers are in high demand, now is the best time to pursue this as a career path.

What are the roles and responsibilities of a Senior Salesforce developer?

A Salesforce developer is an individual who has a firm understanding of how Salesforce works, as well as experience with the platform. This developer is typically employed by a customer/client for the purpose of customizing Salesforce to that client’s specifications. Alternately, it can be an in-house programmer who happens to be skilled at working with Salesforce. These developers use Apex and Visualforce, along with Lightning Components, in order to develop apps.
The roles and responsibilities of a Salesforce developer are similar to those of other professional developers, but for comprehensiveness, let's go through them in the context of Salesforce:

  • Assist clients in determining the functional and technical requirements for their business
  • Construct, code, and deploy Salesforce applications
  • Assume responsibility for the design, configuration, testing, and deployment of an application
  • Customize and configure the Salesforce platform
  • Responsible for developing and executing testing, training, and documentation
  • Contribute to the sales cycle, such as solution definition, pre-sales, estimating, and project planning, as needed
  • Implementing operational support, enhancements, and bug fixes for Salesforce in accordance with best practices
  • Continually improve the application design
  • Assist users with bug fixes and enhancements and provide technical support
  • Collaborate with both technical teams and business owners throughout the entire design and implementation process

How to become a Senior salesforce developer?

First and foremost. Most software developers, including Salesforce developers, have a bachelor's degree in computer science, software engineering, or a related field, as well as good computer programming skills and relevant experience. It is also advantageous to have knowledge and skills in the industry where those Salesforce skills will be most useful. You should also be familiar with Object-Oriented Programming Principles, the Model-View-Controller design pattern,.NET Programming, or Java.

In addition, if you want to work in Salesforce development right out of college, it's a good idea to have done an internship with a software company. This type of arrangement provides you with contacts, experience, and necessary skills. If you can't get into development right out of college, start as a programmer and work your way up to the level of programmer.

Now, let's look at the skills and methods you'll need to master in order to become a successful Senior salesforce developer:

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Skills required to become a Senior salesforce developer

The first step is to start learning the fundamental skills that can get you high-paying Senior salesforce jobs. Let’s take a look at what you need to know!

1. Object-Oriented Programming

The core of Salesforce is object-oriented programming based on Java. This style of development allows for smooth development processes and ease of maintenance through concepts like classes, objects, encapsulation, polymorphism, inheritance, and abstraction. When applying for senior salesforce developer roles, make sure you know OOP inside and out.

2. Knowledge of data modeling

In the field of software development, data modeling provides a systematic approach to storing data in a way that allows for efficient data retrieval and analysis. Salesforce, as a platform, offers many options for customizing preset data models to add and fine-tune functionalities. In Salesforce data model development, there are several best practices to consider when streamlining necessary processes.

3. SOQL

Salesforce Object Query Language is a highly programmable query language that eases the retrieval of data from large databases. Its syntax is similar to that of the SQL SELECT statement, but it is designed specifically for use within the Salesforce platform. SOQL enables developers to create powerful query strings that can be used in multiple environments, including that outside of Salesforce.

4. Experience with Lightning frameworks

One of the most important and efficient components of Salesforce is its Lightning Component Framework, which is one of many frameworks. It is popular for apps that have cross-platform compatibility and can be used to create single-page applications with intuitive UIs. Lightning is mostly used for building web applications on top of Salesforce.

Lightning Components are a set of declarative, API-driven UI components (buttons, fields, tabs, and so on) that abstract away the frequently tedious tasks of coding HTML and JavaScript. These components make it extraordinarily easy to create a dynamic user interface. Lightning Components make building great-looking Salesforce applications easier than ever before.

5. JavaScript

To be considered a capable Salesforce developer, one must have a thorough knowledge of JavaScript. Developed to adhere to ECMAScript standards, JavaScript is used to define and fine-tune the functionality of Visualforce pages. Also, Salesforce specialists with a strong base in JavaScript can be the difference in the quality of project execution. One can set up pass parameters to display pop-ups and show confirmation messages, customize the functionality of your VisualForce pages, pass parameters to the JavaScript, show pop-ups, confirm messages, call control methods, manage page validation messages, and a lot more.

6. C#

Salesforce is predominantly an object-oriented programming language, and developers must be fluent in the C# programming language. It is among the most popular OOP languages being used today, with coding structures that are very similar to Java. One of the fundamental requirements for being viewed as a Salesforce specialist is knowledge of C#. So, when looking to apply for Senior Salesforce developer roles, make sure you have a working knowledge of C# and related technologies.

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How to get remote Senior salesforce developer jobs?

Athletes and senior Salesforce developers share many similarities. To excel in their profession, they must train efficiently and consistently. Salesforce developers must also strive diligently enough to improve their skill sets over time. In this regard, there are two critical things that developers must focus on in order for that growth to occur: enlisting the help of a Salesforce expert who is more experienced and successful in practice techniques when you're practicing and using more effective practice techniques. As a developer, you must know how much to practice, so make sure you have someone to assist you and keep an eye on the situation!

Turing offers the best remote senior salesforce developer jobs that suit your career trajectories as a Senior salesforce developer. Gain experience in challenging technical and business issues using the latest technologies. Find career growth and better compensation for full-time, remote Senior Salesforce developer jobs at a network of the world's top developers.

Why become a Senior salesforce 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 Senior Salesforce developers?

Every Senior Salesforce Developer at Turing has the ability to set their own rate. However, Turing will recommend a salary at which we are confident we can find you a successful and long-term opportunity. Our recommendations are based on our analysis of market conditions as well as customer demand.

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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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.

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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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