Remote infrastructure security engineer jobs

We, at Turing, are looking for talented remote Infrastructure security engineers who will be responsible for building, coordinating, and maintaining security networks and systems that support network infrastructures. Here's the best chance to collaborate with top industry leaders while working with the leading Silicon Valley companies.

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Job description

Job responsibilities

  • Ensure system infrastructure security and operations by troubleshooting bugs
  • Update necessary software systems and optimize them for better performance
  • Design, architect, and implement defensive security controls across endpoints
  • Design and deploy protective security controls for email (SPF, DKIM, DMARC, attachment sandboxing, etc.) and other collaborative applications
  • Collaborate with the engineering team to enhance security to identity access and management (IAM) and device management
  • Evaluate security infrastructure and research on finding new platforms, products, architectures, vendors, and services
  • Introduce and implement impactful changes to the company’s network protection plans

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science, IT (or equivalent experience)
  • 3+ years of experience in cloud security, systems security, or site-reliability engineering (rare exceptions for highly skilled developers)
  • Hands-on experience in managing security systems for different OS platforms like Windows, MacOS, and Linux
  • Comprehensive understanding of modern adversary tactics, techniques, and procedures
  • Extensive experience with public cloud service providers including AWS, GCP, and Microsoft Azure
  • Expertise working with infrastructure automation platforms like Desired State Configuration, Packer, Terraform, etc.
  • Sound knowledge of at least one scripting language like PowerShell, Bash, Python, or anything similar
  • 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

  • Prior experience in incident response
  • Understanding of risk assessment technologies and methods
  • Basic knowledge of security breach protocols and computer forensics
  • Working experience with running systems at scale
  • Knowledge of using Git and maintaining documentation
  • Excellent organizational and communication skills
  • Great technical, analytical and problem-solving skills

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How to become an Infrastructure security engineer?

An Infrastructure security engineer is a one-of-a-kind job that has emerged as the Internet has grown in popularity. To retain customer trust, the Senior Infrastructure Security Engineer needs to guarantee the fulfillment and transportation infrastructure built and implemented securely and to high standards. An Infrastructure security engineer is a key Information Technology profession in today's digital environment. Instead of road networks, today's Infrastructure security engineer creates and maintains their employer's or client's digital network.

What is the scope for an Infrastructure security engineer?

Most IT infrastructure professions need particular skills and competencies, and people who work hard to acquire these talents tend to fare well in their careers. Infrastructure Security engineers are in charge of the company’s security projects. They work with various Infrastructure and Security teams to identify and mitigate security issues, vulnerabilities, and misconfigurations by applying their in-depth knowledge of operating systems, infrastructure, and cloud providers. They collaborate closely with the Security Incident Response Team and are proactive in sharing their findings.
Successful Security Engineers can think like an attacker and a defender, communicate with and mentor more junior Security Engineers, and help come up with proactive and preventative security measures to keep the company data and its users' data safe in an ever-changing threat landscape. In order to meet increasing business-critical requirements, IT infrastructure investments are becoming more difficult. This reality, together with the COVID-19 pandemic's heightened demand for digital transformation and remote work, will raise the demand for skilled and knowledgeable IT infrastructure security engineers in the near future.

What are the roles and responsibilities of an Infrastructure security engineer?

An Infrastructure security engineer is an expert in building and constructing systems and security infrastructures based on client requirements and industry standards. They are in charge of recognizing and comprehending the project's requirements, streamlining the project's requirements, making drafts, prototyping, modeling, and implementing tests to discover potential problems and ensure the project's quality. An infrastructure security engineer can also make decisions, train and supervise junior engineers, create goals and timelines, provide technical support, and enforce rules and guidelines.
Here are some instances of duties from genuine Infrastructure security engineer resumes that depict typical tasks they would be expected to complete in their jobs.

  • To defend the company’s networks and systems, create infrastructure, and oversee its deployment.
  • Assist a wide group of engineering and business departments with security issues.
  • Conduct security audits of the company's essential infrastructure and production lines.
  • Protecting, monitoring, and remediating vital infrastructure is a good idea.
  • Assist in the creation of a secure cloud computing environment baseline.
  • Vulnerability management, patching practices, and infrastructure security.
  • Participate in and lead the response to security incidents.
  • Threat modeling or similar approaches can be used to assess the security of cloud-native environments.
  • Collaborate on security concerns or processes with vendors, researchers, and other third parties.

How to become an Infrastructure security engineer?

When exploring how to become an Infrastructure security engineer, choosing the correct major is always a vital step. One of the first things to consider if you want to become an Infrastructure security engineer is how much schooling you'll need.
Experience and particular qualifications to be a good IT Infrastructure Security Engineer are listed below:

  • A bachelor's degree in information systems engineering, computer science, or a related field is required.
  • Over 2 years of expertise in Infrastructure security, including cyber forensics, breach detection, and response to such security incidents, among other things.
  • Maintaining and operating firewalls is a must-have skill.
  • Up-to-date knowledge and skills in Infrastructure security developments, as well as the latest hacking strategies and tactics
  • By enrolling in the top Infrastructure Security Training or by attending boot camps, you can gain the necessary skills and information.
    You could discover that previous work experience will help you advance to the position of an Infrastructure security engineer. Indeed, many Infrastructure security engineer positions need prior expertise in a capacity such as Systems Administrator. Meanwhile, many Infrastructure security engineers have prior expertise as Systems Engineers or Senior Systems Engineers.
    Let's take a look at the skills and methods you'll need to succeed as an Infrastructure security engineer right now:

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Skills required to become an Infrastructure security engineer

The first step is to begin studying the core skills that will allow you to land high-paying Infrastructure security engineer jobs. Everything you need to know is right here!

1. Cloud

A cloud server is a computer that is connected to the internet. A number of programs and software are also stored on these servers. These clouds can be accessed from anywhere on the planet because they are not stored on your machine but rather on web servers. The cloud is made up of data centers spread around the globe.

2. Network architecture understanding

You should be knowledgeable with wide area networks (WANs) and local area networks (LANs) as an Infrastructure Security Engineer in order to build and create various phases and safeguard them from any threats.

3. Operating system and database platform knowledge

You must have hands-on expertise with a variety of operating systems, such as Windows, Linux, UNIX, and others, as well as knowledge with database platforms, such as MS SQL and MySQL. Android is a Linux-based operating system. Linux is in charge of controlling all of the hardware resources on your machine. This program is an expert in fighting viruses, malware, and securing against crashes. It may be modified by individuals who know how to code.

4. Ethical Hacking

While it is not needed to work as an ethical hacker, you must have a basic understanding of ethical hacking in order to develop systems that can support it.

5. Customer service

Customer service is the process of assisting all present and future customers by answering inquiries, resolving problems, and delivering good service. The primary purpose of customer service is to develop strong relationships with customers so that they will return for more business.

6. Programming skills

A comprehension of computer code, particularly how to recognize and deal with harmful code such as viruses and malware. Anti-virus software, firewall maintenance, and hacker detection are all things you should be aware of.

7. Log analysis

A semi-structured data analytics solution is provided by Log Analysis. Use Log Analysis to shorten the time it takes to diagnose and resolve problems, allowing you to better manage your infrastructure and applications. Log analysis is the process of analyzing logs in order to detect trends.

8. Customer service

Customer service is the process of assisting all present and future customers by answering inquiries, resolving problems, and delivering good service. The primary purpose of customer service is to develop strong relationships with customers so that they will return for more business.

Interested in remote Infrastructure Security engineer jobs?

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How to get remote Infrastructure security engineer jobs?

Developers must possess both technical and soft abilities in order to excel in their careers. You have access to a multitude of free tools and information-sharing platforms thanks to the internet. At the same time, the degree of competition in the field is increasing. However, the most important thing is to stay on course and be your best self. If you believe in your talents and work to improve your flaws, opportunities will present themselves. One of the obstacles you'll have is finding the correct firm. Even if you have all of the necessary qualifications, choosing the incorrect job can make things worse.
Turing has the best remote senior Infrastructure jobs that are a fantastic match for your Infrastructure security engineer career. Working with cutting-edge technology to solve complicated technical and commercial problems allows you to expand quickly. Find full-time, long-term remote Senior Infrastructure jobs with better income and promotion prospects by joining a network of the world's best developers.

Why become an Infrastructure security engineer 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 Infrastructure security engineers?

Every Turing Infrastructure security engineer has the opportunity to define their own pay. Turing, on the other hand, will propose a pay at which we are confident that we will be able to find you a successful and long-term job. Our recommendations are based on our analysis of market conditions and consumer demands.

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

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
Solutions Engineer

About the role

We are looking for Solution Engineers to partner directly with customers and lead the end-to-end delivery of high-impact technical solutions. Successful candidates will need to be able to work with customer teams, translating real-world challenges into production-ready systems that leverage Generative AI, Computer Vision, and Machine Learning. This role is a blend of software engineering, ML engineering, architecture, and consulting. Engineers will design and deploy solutions, integrate models, build custom workflows, and guide customers through successful implementation.

Qualifications

  • 5–10+ years in engineering roles such as Forward Deployed Engineer, ML Engineer, Software Engineer, Solutions Engineer, Technical Consultant, or similar.
  • German language proficiency (C1 or native)
  • Strong proficiency in Python, JavaScript/TypeScript, Go, or similar production-oriented languages.
  • Hands-on experience with Machine Learning, including training, fine-tuning, evaluating, or deploying models.
  • Direct experience with Generative AI (LLMs, multimodal models, vector databased, or RAG) and applying them to real-world problems.
  • Exposure to Computer Vision techniques (detection, segmentation, OCR, embeddings, multimodal pipelines).
  • Strong knowledge of ML frameworks (PyTorch, TensorFlow, OpenCV, etc.).
  • Experience with cloud infrastructure (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
  • Excellent communication skills with both technical and non-technical audiences.
  • Comfort leading customer-facing engagements and guiding stakeholders through ambiguity.
  • Willingness and ability to travel frequently.
  • Prior experience in consulting, technical solutions, professional services, or customer-embedded technical roles.
  • Experience with vector databases, embedding pipelines, or retrieval-augmented generation (RAG).
  • Experience building APIs, microservices, or distributed systems.
  • Familiarity with MLOps tools (Docker, Kubernetes, model registries, CI/CD for ML).
  • Background in deploying or fine-tuning CV models (YOLO, SAM, CLIP, DETR, etc.).
  • Experience in startup or high-growth environments.

Key Responsibilities

  • Engage directly with enterprise and strategic customers to understand their workflows, data, and technical requirements.
  • Architect, build, and deploy custom solutions leveraging GenAI, LLMs, Machine Learning and Vision models, and customer data sources.
  • Lead full project lifecycles: scoping, solution design, development, implementation, testing, deployment, and iteration.
  • Integrate and optimize AI/ML pipelines, including data preprocessing, prompt engineering, model selection, and evaluation.
  • Build reliable, scalable software integrations using APIs, cloud services, and containerized systems.
  • Troubleshoot complex technical issues across the stack—applications, models, data pipelines, infrastructure, and integrations.
  • Act as the customer’s trusted technical advisor, enabling adoption of new product capabilities and AI features.
  • Partner closely with internal product and engineering teams to communicate customer feedback and shape roadmap direction.
  • Produce high-quality documentation, architecture diagrams, runbooks, and technical assets for customer teams.
  • Mentor junior engineers and contribute to internal best practices for FDE delivery.

Offer Details

  • Full-time contractor (no benefits)
  • Remote only, full-time dedication (40 hours/week)
  • Same overlap with PST required, work mostly done in EU timezones
  • Competitive compensation package.
  • Opportunities for professional growth and career development.
  • Dynamic and inclusive work environment focused on innovation and teamwork
Software
11-50 employees
Refinement of ModelsMachine LearningData Science+ 10
briefcase
Solutions Engineer

About the role

We are looking for Solution Engineers to partner directly with customers and lead the end-to-end delivery of high-impact technical solutions. Successful candidates will need to be able to work with customer teams, translating real-world challenges into production-ready systems that leverage Generative AI, Computer Vision, and Machine Learning. This role is a blend of software engineering, ML engineering, architecture, and consulting. Engineers will design and deploy solutions, integrate models, build custom workflows, and guide customers through successful implementation.

Qualifications

  • 5–10+ years in engineering roles such as Forward Deployed Engineer, ML Engineer, Software Engineer, Solutions Engineer, Technical Consultant, or similar.
  • Strong proficiency in Python, JavaScript/TypeScript, Go, or similar production-oriented languages.
  • Hands-on experience with Machine Learning, including training, fine-tuning, evaluating, or deploying models.
  • Direct experience with Generative AI (LLMs, multimodal models, vector databased, or RAG) and applying them to real-world problems.
  • Exposure to Computer Vision techniques (detection, segmentation, OCR, embeddings, multimodal pipelines).
  • Strong knowledge of ML frameworks (PyTorch, TensorFlow, OpenCV, etc.).
  • Experience with cloud infrastructure (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
  • Excellent communication skills with both technical and non-technical audiences.
  • Comfort leading customer-facing engagements and guiding stakeholders through ambiguity.
  • Willingness and ability to travel frequently.
  • Prior experience in consulting, technical solutions, professional services, or customer-embedded technical roles.
  • Experience with vector databases, embedding pipelines, or retrieval-augmented generation (RAG).
  • Experience building APIs, microservices, or distributed systems.
  • Familiarity with MLOps tools (Docker, Kubernetes, model registries, CI/CD for ML).
  • Background in deploying or fine-tuning CV models (YOLO, SAM, CLIP, DETR, etc.).
  • Experience in startup or high-growth environments.

Key Responsibilities

  • Engage directly with enterprise and strategic customers to understand their workflows, data, and technical requirements.
  • Architect, build, and deploy custom solutions leveraging GenAI, LLMs, Machine Learning and Vision models, and customer data sources.
  • Lead full project lifecycles: scoping, solution design, development, implementation, testing, deployment, and iteration.
  • Integrate and optimize AI/ML pipelines, including data preprocessing, prompt engineering, model selection, and evaluation.
  • Build reliable, scalable software integrations using APIs, cloud services, and containerized systems.
  • Troubleshoot complex technical issues across the stack—applications, models, data pipelines, infrastructure, and integrations.
  • Act as the customer’s trusted technical advisor, enabling adoption of new product capabilities and AI features.
  • Partner closely with internal product and engineering teams to communicate customer feedback and shape roadmap direction.
  • Produce high-quality documentation, architecture diagrams, runbooks, and technical assets for customer teams.
  • Mentor junior engineers and contribute to internal best practices for FDE delivery.

Offer Details

  • Full-time contractor (no benefits)
  • Remote only, full-time dedication (40 hours/week)
  • Overlap with EST or PST timezones
  • Competitive compensation package.
  • Opportunities for professional growth and career development.
  • Dynamic and inclusive work environment focused on innovation and teamwork
Software
11-50 employees
Refinement of ModelsMachine LearningData Science+ 10
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