Remote macOS engineer jobs

At Turing, we are hiring talented macOS engineers to work on macOS application deployment and software troubleshooting. If you are passionate about Apple technologies, here's your chance to collaborate with top industry veterans and rise quickly through the ranks.

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Job description

Job responsibilities

  • Perform TES onsite, Desktop Engineering, and GSD.
  • Deploy new applications for mac and update existing applications.
  • Collaborate with internal teams to deliver and assure Macs are compliant and secure.
  • Draft knowledge articles for end-users and support staff.
  • Assist software evaluation, server requests, and reporting, etc.

Minimum requirements

  • Bachelor’s/Master’s degree in Computer Science or IT (or equivalent experience)
  • 3+ years of experience as a macOS engineer (rare exceptions for highly skilled developers)
  • Good understanding of macOS design principles and structures
  • Proficiency in Citrix, Parallels, VM Fusion, and VirtualBox
  • Experience with Jamf Pro MDM environment
  • Proficiency in desktop app designing, development, and deployment
  • Fluent in both spoken and written English communication
  • Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

  • Familiarity with Swift and Objective-C
  • Portfolio of deployed macOS applications would be a plus
  • Strong analytical and interpersonal skills

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How to Become a macOS engineer in 2023?

Apple Inc.’s macOS is one of the most popular computer operating systems worldwide. Originally created to run the company’s Macintosh line of PCs, it was different from its predecessors in that it presented a graphic user interface (GUI), which enabled users to manipulate graphical icons with a mouse rather than typing commands in text. mac OS inspired Microsoft to create Windows, which also featured a GUI and was similar to the Macintosh operating system.

Apple introduced the Macintosh in 1984 with an advertising campaign emphasizing ease of use and simplicity. Most computers at that time used command-line interfaces (CLI), with the user typing commands into a text prompt. The macOS, however, was based on a graphical user interface (GUI) that featured folders and files represented by colorful icons.

What is the scope in macOS engineering?

Over the past two decades, the macOS operating system has been updated to work with multiple processor architectures. In 2001, when mac OS X was released, the platform supported PowerPC chips in addition to Intel processors that were still a few years out. Though macOS has evolved since then, it remains relevant and useful even today.

macOS remains a cornerstone of Apple's product lines for the foreseeable future. It is the only way to develop apps for iOS, iPadOS, tvOS, or the Apple Watch on a device running anything other than macOS. This means that all software for Apple products is currently built on top of macOS.

What are the roles and responsibilities of a macOS engineer?

macOS engineers design and develop mobile applications for Apple’s Mac OS operating system. They are in charge of designing and scripting the base application, as well as ensuring its quality, fixing bugs, maintaining the code, and implementing application updates.

  • Designing and developing mobile apps for Apple's iOS platform.
  • Defining app features in collaboration with the design team.
  • Assuring the application's quality and performance in accordance with specifications.
  • Identify possible issues and resolve constraints in the application.
  • Solving bugs in the application before the final release.
  • Keeping the code and atomizing the application.
  • Creating and deploying application updates.

How to Become a macOS engineer?

Let's move on to the road that one must take in order to pursue a profession in the macOS engineering field.

To begin, keep in mind that macOS engineers are not required to have a degree. You can be successful in MacOS engineering regardless of your level of formal education or the amount of experience with the technology. All you need is enough practical experience and command of the relevant technical and non-technical skills.
However, at many employers, MacOS engineer positions require a bachelor’s or master’s degree in computer science or similar disciplines. This requirement exists for a couple of reasons: first, having a relevant academic background allows you to better understand computer programming and web development, which will aid you greatly in learning front-end development. Second, many firms need candidates to have a specific degree when hiring front-end developers, making it easier for you to get some rewarding work opportunities.

To start your career as a macOS engineer, the first step is to learn the fundamental skills you need to master. The next section introduces those skills and methods that you need to master to become a successful MacOS engineer.

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Skills required to become a macOS engineer

In order to get the training you need to qualify for high-paying macOS engineer jobs, you must start by mastering the fundamentals.

1. Swift

Swift is one of the core programming languages used by Apple. It is a simple, concise programming language, very similar to Python and JavaScript, that allows developers to easily create variables, functions, and other code structures in their programs.

Swift is a young language, so it uses the very latest programming language features. This both means that you get to avoid the outdated features of older languages and that Swift has quite a few more advanced features which may be difficult to master at first. Just take your time: most parts of Swift are relatively straightforward, and some parts will take you longer to really grasp, so just keep at it!

2. SwiftUI

Another important skill is SwiftUI, which is a framework from Apple that lets us write apps for iOS, macOS, tvOS, and watchOS using Swift. The framework provides tools to display pictures, text, buttons, and text boxes and also builds in support for tables of data.

Swift is a much more intuitive language to use than UIKit. This is due to Swift's ability to make the code easier to read, resulting in faster compilation times, faster execution time, and faster iteration of code. SwiftUI was built using only Swift code, making it significantly easier for developers who are comfortable using the language.

3. Networking and data

Networking and data are important for macOS development, and Swift and SwiftUI provide easy-to-learn tools for implementing data and networking functionality in your applications.

Networking is the practice of accessing data from a remote server somewhere on the internet. There are many ways to do this. A beginner should learn how to use JSON because it will facilitate the transfer or receiving of data between a local device and a remote server.

To process data, you need to be able to work with databases. You can do this by working with either SQL or NoSQL databases or performing direct processing of stream data coming from a server. The least you need to know is how to convert stream data into information your app can use.

4. Version control

Version control software helps teams of developers keep track of the changes they make to their code by storing all alterations in a database. If a mistake is made, the team can revert to earlier versions of the code to fix it quickly, minimizing disruption for everyone involved.

When two programmers work on different aspects of the same software project at the same time, they will often find that their modifications conflict with each other. Version control is a way for teams to track every individual change made to a project and prevent incompatible changes from being made at the same time.

5. Software Architecture

Software architecture is critical to the success of software projects, for it gives technical guidance on topics critical to the system’s overall quality, such as scalability, performance, modifiability, security, and cost reduction. Architecture is important in early project stages as a way to ensure that design approaches remain consistent with the goals of the project and that potential design risks are identified and mitigated.

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How to get remote macOS engineer jobs?

For developers to develop their skills, they must practice effectively and consistently. They also need to work hard enough that their skills grow gradually over time. Two key factors for this skill development are 1) the support of someone who is more experienced and effective in practice techniques while you're practicing, and 2) making sure there are no signs of mental or physical burnout.

Turing offers the best remote macOS engineer jobs that suit your career trajectories as a macOS engineer. Grow rapidly by working on challenging technical and business problems on the latest technologies. Join a network of the world's best developers & get full-time, long-term remote macOS engineer jobs with better compensation and career growth.

Why become a macOS engineer at Turing?

Elite US jobs
Career growth
Exclusive developer community
Once you join Turing, you’ll never have to apply for another job.
Work from the comfort of your home
Great compensation

How much does Turing pay their macOS engineers?

Every macOS engineer 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 fruitful and long-term opportunity. Our recommendations are based on our assessment 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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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.

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briefcase
Staff Software Engineer, AI


About the Client

Founded by engineers from  Stanford, Cisco Meraki, and Samsara, we are one of the fastest-growing Video AI companies in the U.S., transforming standard cameras into powerful AI tools that elevate safety, security, and operations for businesses nationwide. In just four years, we have processed more than 1  billion hours of video, and today ingest more daily new videos than  YouTube. Our industry-leading Video AI agents are changing physical operations and defining what video AI can accomplish for physical  operations. We are challenging and disrupting the $30 billion video surveillance market with a plug-and-play camera agnostic solution that is expanding use-cases beyond traditional security. Our approach has fueled fast adoption across 17 industries, powering nearly 1000  businesses and over 70,000 camera feeds. Our exceptionally talented team has created a high growth trajectory that has attracted almost $100 million in investment from top venture firms, including  Redpoint, Scale Venture Partners, Bessemer, StepStone and Qualcomm.



About the Role

We are looking for like-minded builders. We are an extremely passionate and ambitious team building a company designed to outlast our lifetime. No  matter the role or level, we’re looking for more teammates who share the same  high-performance mindset:

  • Relentless Drive: You have extreme ambition and something to prove. Challenges fuels you. Building isn’t just what you do; it’s who you are.
  • Builder’s Mentality: You  thrive on creating new solutions, not maintaining the status quo. If  you've founded a company, been employee number 1 - 20, or have run a  venture for over two years, we’re especially excited to meet you!
  • High Hustle, High Humility: You combine high IQ with high EQ, a low ego, and an unyielding work ethic that pushes you to be among the best at what you do.

Our cultural pillars guide how we operate. We:

  • Spend Strategically. We maximize resources and minimize waste.
  • Push for Progress. We make decisions, move fast, and celebrate action.
  • Obsess Over Customers: We remove friction and add value to create delight.
  • Trust Our Team: Respect, trust and collaboration are non-negotiable.
  • Act Like Owners: We say what we’ll do, and we do what we say, taking pride and responsibility in our work.
  • Never Stop Having Fun: We’re creating something epic, and we’re having fun doing it.


Who you are

  • You are self-motivated and accountable. You  excel with ownership and autonomy, producing high quality outcomes with  minimal direction and oversight. You have strong intuition on what's  most important to work on, and can focus on the most critical items.
  • You are a balanced visionary. You  contribute to strategy with an ability to see the big picture, while  also appreciating details with a drive to make meaningful, hands-on  contributions.
  • You are a humble expert. You  bring strong expertise and nuanced perspectives on the latest AI  technology, while staying open to new ideas and new ways of doing  things. You focus on getting it right in a team setting, rather than  being right.
  • You strive for the next level. You’re ready to stretch your impact and influence and are ready to take on larger scale challenges and/or act as a mentor.
  • You bring rich AI experience. You  have a strong background in AI, ideally with video processing  experience, however, experienced practitioners in AI can adapt as  necessary. You understand classic deep learning techniques, from YOLO to  transformer models to linear classifiers. Yet, you also have experience  with the latest AI foundation models, from embeddings to LLMs and  prompt engineering.
  • You are a creative thinker and problem solver. You  naturally think outside the box to solve new sets of customer problems,  even with few resources. You have a keen eye and technical frameworks  for setting an AI technical direction based on customer context.
  • You bring high-scale technical excellence. You  deeply understand software design, architecture, big-data processing  pipelines, and best practices on systems design + scalability, code  quality, and data/model design. You appreciate the finer details, such  as edge model optimizations, vector indexes and how they work, or how to  design a maintainable data schema. You’ve designed and led complex  systems, shaped multi-team architectures, and created frameworks that  prevent defects and improve validation across products.
  • You’re a debugging and operational excellence expert. You adopt observability tools, tackle unfamiliar codebases, and develop  resources like runbooks to prevent issues. You have an eye for  impending technical issues or optimization opportunities, and  architectural improvements that could be made to increase overall  engineering productivity.
  • You’re a technical leader. You  understand the skill and personal strengths of team members,  effectively mentoring them and placing engineers into the projects that  make them and the company successful
  • You bring 6+ years in software engineering, with significant expertise in AI plus a strong track record in high-quality system delivery.


Responsiilities

You’ll  play a critical role in advancing our capabilities, using your AI  expertise to drive innovative solutions for businesses with physical  environments—from manufacturing plants to car dealerships. Leading the  design and integration of AI-driven features, you’ll elevate both new  and existing products, focusing on scalable, real-world applications  that improve safety, operations, and efficiency. Working closely with  cross-functional teams, you’ll apply cutting-edge AI techniques to  transform video data into actionable insights that empower our clients.  By setting standards in AI reliability and performance, you’ll ensure  Spot AI’s product suite consistently delivers high-impact outcomes.



What excites you:

  • Working  on and thinking about the latest models across multiple domains, such  as Dinov2, CLIP, GPT4o/Gemini. Applying these models to real world  physical problems to enhance safety, operations, and efficiency.
  • Working  with a datastream of over 200k datapoints and embeddings a second,  wrangling this into actionable insights with fast and accurate queries.
  • Helping  to democratize and educate about the latest foundational models to  customers and team members, helping them share your vision of what AI  can do for the world.
  • Working with a global, several thousand  node distributed hybrid edge-cloud, processing millions of hours of  video a day.A place that gives you the room to learn from failure while  driving excellence.
  • Advancing our AI’s product capabilities  by applying cutting-edge AI techniques, helping transform video data  into powerful, real-world solutions for our clients.
  • Designing  and implementing AI-driven features across new and existing products,  with a focus on scalability and tangible value for diverse industries.
  • Diving  into complex challenges in video intelligence, using your expertise to  bring actionable insights to businesses in physical environments.
  • Collaborating  closely with cross-functional teams to build tools and frameworks that  set a new standard for AI performance and reliability in our industry.
  • Mentoring and guiding other engineers to foster collaboration and innovation that increase project impact.
  • A culture where hard work that drives great outcomes is expected, celebrated, and rewarded.
  • A place where you can make industry-wide impact and contribute to one of the most exciting technologies of our time

Offer Details

  • Full-time contractor (no benefits)
  • Remote only, full-time dedication (40 hours/week)
  • 6 hours of overlap with Pacific Timezone
  • Competitive compensation package.
  • Opportunities for professional growth and career development.
  • Dynamic and inclusive work environment focused on innovation and teamwork
Business Services
11-50 employees
PythonPyTorchTensorflow
briefcase
Senior Java Engineer – Snowflake Integration

Job Title: Senior Java Engineer – Snowflake Integration

Experience: 6–10 Years
Location: Gurugram
Work Mode: Hybrid (3 Days Work From Office)

Job Overview

We are looking for a Senior Java Engineer with strong experience in Java 17+, backend system development, and Snowflake integration, to build and maintain enterprise-grade data and transaction systems in the BFSI domain. The role involves working on high-scale, secure, and compliant platforms handling critical financial data.

Key Responsibilities

  • Design, develop, and maintain scalable backend services using Java 17+
  • Integrate Java applications with Snowflake Data Cloud for analytics and reporting use cases
  • Build and optimize data pipelines between transactional systems and Snowflake
  • Design and consume RESTful APIs for internal and external integrations
  • Ensure data security, governance, and compliance as per BFSI standards
  • Optimize application performance, scalability, and reliability
  • Collaborate with data engineering, DevOps, and product teams
  • Participate in architecture discussions and technical design reviews
  • Support production systems and perform root cause analysis when required

Mandatory Technical Skills

Core Java & Backend

  • Strong hands-on experience with Java 17 or higher
  • Deep understanding of OOP, multithreading, concurrency, and JVM internals
  • Experience with Spring / Spring Boot
  • Strong experience building RESTful microservices
  • Experience with Hibernate / JPA

Snowflake & Data Integration

  • Hands-on experience integrating applications with Snowflake
  • Strong understanding of:
    • Snowflake architecture and data storage concepts
    • Virtual warehouses, databases, schemas
  • Experience using Snowflake connectors (JDBC/ODBC) from Java
  • Knowledge of data ingestion and transformation patterns
  • Understanding of SQL optimization in Snowflake

Databases

  • Strong experience with RDBMS (PostgreSQL / Oracle / MySQL)
  • Advanced SQL skills and performance tuning
  • Experience handling large datasets and analytical queries

Cloud, DevOps & Tools

  • Experience with cloud platforms (AWS / Azure / GCP)
  • Familiarity with Docker and containerized deployments
  • Experience with CI/CD pipelines
  • Working knowledge of Linux environments
  • Experience with version control systems (Git)

BFSI Domain Experience (Mandatory)

  • Proven experience working in Banking, Financial Services, or Insurance
  • Understanding of:
    • Transaction processing systems
    • Data privacy and regulatory compliance
    • Security standards (encryption, access control, auditing)
  • Experience working on high-availability, mission-critical systems

Soft Skills

  • Strong problem-solving and analytical skills
  • Ability to work independently with minimal supervision
  • Excellent communication skills
  • Experience collaborating with cross-functional teams
  • Ownership mindset and attention to detail

Good to Have

  • Experience with event-driven architectures (Kafka / MQ)
  • Exposure to data warehousing or analytics platforms
  • Experience with Agile / Scrum environments
  • Knowledge of financial reporting or risk systems

Ideal Candidate Profile

  • 6–10 years of backend development experience
  • Strong Java 17+ expertise with enterprise application exposure
  • Hands-on Snowflake integration experience
  • Solid BFSI domain background
  • Willingness to work 3 days from Gurugram office
Finance
10K+ employees
Core JavaSpring BootOOP+ 2
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