Security engineer jobs at U.S. companies

We, at Turing, are looking for Security engineers to join the team and assist in improving the platforms' capacity to identify, respond to, and comprehend advanced prospective threats and tools, build digital security protocols, operate a cyber security system, and maintain an IT security infrastructure for the organization. Apply for top WFH Security engineer jobs and get a chance to work with leading US companies and collaborate with industry veterans.

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Job description

Job responsibilities

  • Develop, execute and track the performance of security measures to protect the information, network infrastructure, and computer systems
  • Design computer security strategy and engineer comprehensive cybersecurity architecture
  • Identify, define and document system security requirements and recommend solutions to the management
  • Configure, troubleshoot and maintain security infrastructure software and hardware
  • Install software that monitors systems and networks for security breaches and intrusions
  • Monitor systems for irregular behavior and set up preventive measures
  • Plan, develop, implement and update the company’s information security strategy
  • Educate and train the staff on information system security best practices

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 5+ years of relevant experience as a software engineer
  • Hands-on experience in Java, Python, and C++
  • Demonstrable experience in Cloud, preferably AWS
  • Proficiency in working with Elasticsearch, Apache Solr, or Apache Lucene
  • Prolific knowledge of Internet security issues, cloud architectures, and threat landscape
  • Comprehensive knowledge of web protocols, common attacks, and in-depth knowledge of Linux/Unix tools
  • Technical experience with Linux and Windows operating systems is nice to have
  • Proven track record of building network security systems such as firewalls, unified threat management, and virtual private network technologies
  • Demonstrable experience with Digital Forensics, SOAR, and SIEM platforms
  • Solid experience in security architecture and engineering, communication, and network security
  • Good working experience in the cybersecurity industry
  • Fluency in English to ensure smooth communication with international teams/stakeholders
  • Availability to work full-time (40 hours/week) and a 4-hour overlap with the US time zone

Preferred skills

  • Experience in distributed systems design and large-scale data processing
  • Knowledge of public cloud infrastructure
  • Experience in Apache Lucene and Linux is a plus
  • Ability to prioritize projects
  • Comfortable working in a fast-paced environment
  • Excellent communication and interpersonal skills

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How to become a Cloud Security engineer?

A cloud security engineer consistently builds, monitors, upgrades, and optimizes cloud networks and cloud-based systems. They are in charge of secure cloud infrastructure, platforms, and software operations.

The digital revolution is only going to get bigger and better with faster internet and better smartphone devices. It's no surprise that Cloud Security Engineers will be at the forefront of developing software that is highly secure, dynamic, accessible, and consistent.

As more and more people use the web, remote Cloud Security Engineers jobs have seen an exponential increase. If you understand the importance of cloud security for the digital world and it affects the user experience, you can be a top Cloud Security Engineer. Cloud Security Engineer can secure high-paying jobs if they reflect their true potential.

What is the scope of Cloud security?

With the significant increase in startups along with the boom in the usage of smart devices, the demand for application development is on the boom which creates the need for cloud security.

Cybercrimes are the biggest threat when everything is based on technology and every crucial data is on servers. Cloud security entails more than just adding spam blockers or bot removers. The larger picture is how well the product fits the needs of the user. If somehow the product fails to satisfy the needs of the user, the owner will stop investing in it. As a result, the primary focus should be on tailoring products to the needs of the target audience, necessitating developer research.

The user research involves their behavior, goals, purpose, and intent. As a result, in the years ahead, developers will have to try a bit harder to do fast user research and build user-centric products.

What are the roles and responsibilities of a Cloud Security engineer?

Cloud security is not limited by a user's behavior. In the future, consistency, a clear visual hierarchy, and simple navigation will be more crucial. As a result, Cloud Security Engineers must focus on making the system more usable.

According to Statista, the number of mobile users is continuously increasing and shows no indications of slowing down anytime soon. The amount of space available on websites grows in lockstep with the number of people using mobile devices. The mobile-first strategy will not simply be a desktop version, but will also result in a smaller device.

Furthermore, Cloud Security Engineers should be in charge of ensuring the safety and security of consumers' data.

The task of a cloud security engineer is complex and demanding. Unlike networks and on-premise technologies, cloud infrastructure evolves on a near-daily basis as providers strive to supply the most in-demand services.

Many attackers need to identify only one attack template that works in a fast-moving ecosystem. It's completely reusable after that. A single attack key will have a large explosion radius that will affect numerous cloud customers. Because of how attackers have rigged their defenses, they only need one way to run a gauntlet that will get past even 20% of clients.

While network security has had years to develop prevention tactics like antivirus, firewalls, and access control, cloud security is still looking for preventive techniques that work in a containerized cloud environment, according to Tavakoli.
As a result, Cloud Security Engineers will bear a significant amount of responsibility in the future years in terms of digital transactions and data sharing.

How to become a Cloud Security engineer?

Let's move on to the steps that must be taken in order to seek a career in cloud security. To begin, keep in mind that becoming a Cloud Security Engineer does not require any academic degree. Whether you're a graduate or non-graduate, experienced or novice, you can learn Cloud security and make a career out of it. Hands-on experience and knowledge of relevant technical and non-technical skills are all that are required.

However, you may have heard that to get remote Cloud Security Engineer jobs, you must have a bachelor's or master's degree in computer science or a similar discipline. This is true for a couple of reasons: first, having a relevant academic background allows you to better understand the need for a secured platform, which will aid you greatly in learning Cloud security. Second, many firms need candidates to have a specific degree when hiring Cloud Security Engineers, making it easier for you to get some rewarding work opportunities.

It is their responsibility to not only develop cloud security technology, but also to investigate, recommend, and teach (users as well as employees). A cloud security engineer must also ensure that the security rules and practices he or she implements are consistent across the company's infrastructure, which includes public clouds, private clouds, and on-premises infrastructure. If there are any discrepancies, hackers will be able to target them more easily.

Now, let's look at the skills and qualities you'll need to master in order to become a successful Cloud Security Engineer:

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Skills required to become a Cloud Security engineer

The first step is to start with the terminologies and threats of the cloud that can get you high-paying Cloud Security Engineers jobs. Let’s take a look at what you need to know!

Certain critical technologies that are vital in the cloud world must be included in a cloud security solution. It would be beneficial for any aspiring cloud security engineer to become familiar with these procedures.

1. Encryption

Encryption is a means of encrypting data so that only authorized parties can decipher the jumbled data. If data is encrypted, hackers who gain access to a company's cloud will have a much harder time committing a variety of nefarious behaviors, such as leaking, selling, or misusing the data. The hacker will come across jumbled data that can't be used unless the decryption key is found, which is nearly always impossible.

Data in the cloud can be encrypted both at rest (while being stored) and in transit (when it is sent from one place to another). To prevent hackers from intercepting and reading the data, it should ideally be encrypted both times. Furthermore, data in transit comprises both data sent from the cloud to a user and data sent from the cloud to another cloud (multi-cloud or hybrid cloud environment). As a result, encryption should be used for both types of transfers.

2. Identity and access management (IAM)

Identity and access management technologies keep track of who has access to what and when. As a result, IAM products either authorize users or prohibit access to unauthorized users, depending on the situation. IAM is critical in cloud computing since a user's identity and access credentials, not their device or location, determine whether or not they can access data. Account takeovers and insider attacks are particularly vulnerable to IAM solutions. Identity provider (IdP), single sign-on (SSO), multi-factor authentication (MFA), access control services, and other services are typically included in IAM systems (separate or all-in-one).

3. Firewall

A cloud firewall protects cloud data by preventing harmful traffic from entering the system. Cloud firewalls are virtual barriers that surround the cloud architecture and are housed within the cloud. DDoS attacks, malicious bots, and other vulnerability exploitation are all prevented by cloud firewalls.

4. Content Management Systems (CMS)

A CMS is used to create the majority of the world's websites (CMS). WordPress is the most popular content management system (CMS), powering more than 60% of all websites. Joomla, Drupal, and Magento are a few other popular CMSs. As a result, knowing how to use any of these platforms can make you more appealing to firms that need their systems maintained or updated. It will give you an advantage over other candidates as a Cloud Security Engineer hopeful. If they need someone who knows one of these systems well (which only a few individuals do! ), your potential employers might consider employing you.

5. Testing/Debugging

While testing and debugging are crucial competencies for any developer, they're especially important for remote Cloud Security Engineer positions.

6. Technical Skills

Strong technical skills are required of cloud security engineers jobs, including familiarity with Windows or Linux, Python, Java, and Node.js micro-service development, understanding of DevOps and DevOps technologies, and experience with cloud provider ecosystems such as AWS. Furthermore, because they must constantly monitor cloud systems for dangers and hazards, they will need exceptional attention to detail.

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Apply now

How to get remote Cloud Security engineer jobs?

Developers are comparable to athletes. They must perform efficiently and persistently in order to become successful at their job. They must also work hard enough until their skills gradually improve over time. In this aspect, there are two important things that developers should focus on in order for that development to begin: the assistance of someone more experienced and successful in practicing procedures when you're practicing. As a developer, you need to know how much to practice, so make sure you have someone to help you out and keep an eye out for any indications of burnout!

Turing provides the top remote Cloud Security Engineer jobs that match your professional goals as a Cloud Security Engineer. Grow quickly by working on difficult technical and business problems with cutting-edge technology. Join a network of the world's best developers to find full-time, long-term remote Cloud Security Engineer jobs with higher salary and growth opportunities.

Why become a Cloud Security 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 Cloud Security engineers?

Every Cloud security engineer at Turing has the potential to dictate their own salary. However, Turing will recommend a pay 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 consumer needs.

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.

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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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