Remote DevOps/SRE engineer jobs

At Turing, top-tier clients are looking for Remote DevOps/SRE engineers capable of facilitating the integration of IT operations and development across the organization. This is your chance to work with industry veterans and top Silicon Valley companies while accelerating your career.

Find remote software jobs with hundreds of Turing clients

Job description

Job responsibilities

  • Develop production-grade, large-scale cloud-based security products
  • Research and implement sophisticated security mechanisms
  • Design & develop CI/CD pipelines & ensure source code control management, etc.
  • Explore new technologies, tools, and integrate cutting-edge solutions
  • Participate in continuous and iterative engineering cycles with an emphasis on code quality
  • Work across teams to ensure high productivity, reliability, and scalability of applications

Minimum requirements

  • Bachelor’s/Master’s degree in Computer Science, Mathematics, IT, or related field (or equivalent experience)
  • 3+ years of experience as a DevOps/SRE engineer (exceptions made based on skill level)
  • Experience in developing high-scale, multi-tenant cloud mission-critical applications
  • Proficiency in general-purpose programming languages like Python, Java, Go, Perl, C#, etc.
  • Expertise in CI tools such as Jenkins, Travis, Azure DevOps, etc.
  • Fluency in English to collaborate with engineering managers
  • Work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

  • Experience with cloud platforms like AWS, Google Cloud Platform, Azure, etc.
  • An analytical mindset with a passion for solving challenging problems
  • Strong knowledge of Linux OS and its fundamentals
  • Extensive skills in Kubernetes, Docker, or other containerization technologies
  • Experience with high-performance, multi-threaded, multi-processed environments

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How to become a DevOps/SRE engineer?

A DevOps/SRE engineer implements processes, tools, and methodologies to balance needs across the software development life cycle, from coding to deployment to maintenance and updates. The goal of DevOps/SRE engineers is to decrease complexity by bridging the gap between activities necessary to swiftly alter an application and duties required to keep it reliable.

Development and IT operations teams may have different skills and goals. Developers want to add new features to a programme, while operations teams want to maintain it stable once it's launched. DevOps/SRE engineers' jobs requires them to add new skills to their existing repertoire. For new product releases, data management and library changes are combined with the necessity for leadership and team communication. DevOps/SRE engineers must understand the basics of application development and delivery.

What is the scope of DevOps/SRE engineers?

The market's demand for DevOps/SRE engineer jobs has been increasing, as has the market's demand for a skilled DevOps team.Almost every firm is using cloud services for its operations, necessitating the engagement of experts. If you come from an IT background, learning DevOps/SRE is a must to get started in your career.

DevOps/SRE engineer jobs have a bright future with numerous IT problem solutions. There is no doubt that DevOps/SRE professionals are well compensated and dedicated. DevOps/SRE is a great approach that many IT companies are now using to provide more reliable and faster solutions to their clients.

According to research and surveys, DevOps/SRE has created more jobs in recent years and has a promising future. As businesses become more digital, the demand for DevOps/SRE has skyrocketed. The DevOps/SRE approach is now critical to the future of IT companies, making it the most demanding job. Within the last five years, the market has grown from 40–45 percent, increasing the demand for DevOps/SRE.

What are the roles and responsibilities of a DevOps/SRE engineer?

Before we get into how to get a DevOps/SRE engineer job, let's define what a DevOps/SRE engineer does. DevOps/SRE engineers, like software engineers, can write code for applications; however, DevOps/SRE engineer jobs are also to handle build, deployment, and operations as a continuous automated process after the code is written. They collaborate with business people to manage the entire workflow that allows the software to function by integrating it with automated processes. Much of the daily work is focused on build and deployment, as well as communicating the results to the appropriate teams, automation, and configuration. However, if necessary, programming is required to bridge the gap between the development and operations teams.

While the term "DevOps/SRE" can refer to a variety of roles, there are some tasks that are shared by all of them:

  • Infrastructure spinning up and automation
  • Developing CI/CD Pipelines
  • Developing and deploying container orchestrators
  • Collaboration with developers to create well-designed microservices architectures
  • Create DevOps strategies (Roadmap of infrastructure and deployments)
  • Creating observability platforms and making recommendations for a variety of teams.
  • Advising and recommending platforms and infrastructure to development teams.
  • Assuring the security of all workloads and infrastructure.
  • Creates specifications and documentation for server-side features.
  • Analyses current technology and develops plans and processes for improvement and expansion. The DevOps/SRE engineer job is to respond to urgent analytic needs.
  • Develops, codes, builds, installs, configures and maintains IT solutions.
  • Participates in project planning meetings to share knowledge of system options, risk, impact, and cost-benefit analysis. Furthermore, DevOps/SRE engineer jobs are also to communicate operational needs and development forecasts.
  • Tests code, processes, and deployments to find ways to make them more efficient and error-free.
  • Automatically deploys updates and fixes into the production environment using configuration management software.

How to become a DevOps/SRE engineer?

Candidates with tertiary qualifications in computer science and industry experience may be preferred by employers in this industry. DevOps Engineer is a senior position that requires substantial industry expertise in either development or operations.

  • Complete a computer science degree with a focus on software development. Equivalent qualifications from industry organizations and vendors may be equally valued.
  • Learn about one or more cloud technologies, such as Amazon Web Services, Google Cloud Platform, Terraform, or Microsoft Azure.
  • Improve your understanding of industry-relevant coding languages.

Let's take a look at the skills and methods you'll need to master to get a successful DevOps/SRE job:

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Skills required to become a DevOps/SRE engineer

The first step is to begin learning the fundamental skills required for high-paying remote jobs DevOps/SRE. Let's go over what you need to know!

1. Linux

Linux is an open-source operating system (OS) based on Unix. The large number of DevOps tasks will utilise Linux in some form or another, and while you could focus on Windows if you want to take a Microsoft path in your DevOps journey, Linux and all the open-source materials provided for it make learning operating systems and how they operate easier.

2. Basic programming skills

You don't have to call yourself a coder to begin working in many DevOps/SRE professions. However, you must be familiar with basic programming concepts such as loops, variables, arrays, lists, and so on. These will be useful not only while reading or modifying code, but also when scripting and automating your duties. It is recommended that you study the fundamentals and begin with Python because it is simple, then work your way up to intermediate by completing several challenges on websites such as Edabit. When you reach that level, you should have no trouble scripting and doing most automated tasks that come your way.

3. Networking fundamentals

You don't have to be a network engineer to start a career in DevOps, although having a fundamental understanding of networking, such as:

  • What exactly is an ip?
  • What is the difference between a subnet and a subnet mask?
  • What is a path?
  • What is the difference between a router and a switch?
  • What exactly is a VPC?

Learning the above and more is critical for troubleshooting and subsequently creating VPC methods in your cloud architecture.

4. Git

Git is a distributed version control system that is extensively used by all software engineering and operations teams to monitor code changes. It is strongly advised that you spend some time getting acquainted with it and the concepts of branches, rebase, merging, and so forth.

5. Cloud platform fundamentals

To begin your adventure, you can select from a variety of cloud platforms. AWS, GCP, and Azure are the three largest. Most people would advise you to begin with AWS because it is the most extensively utilised and required in job advertisements. However, it is also the most saturated market.

6. Containers

Containers are a method of packaging and isolating running programmes. This not only makes your running environment more secure, but it also makes it more deterministic because a container will always execute in the same way, regardless of which server or machine it is running on. Containers are frequently used in CI/CD pipelines, as well as production workloads and microservice designs, thus knowing them is essential. Container orchestrators are also widely utilised these days, as we will see later.

7. Software configuration and deployment

In a DevOps/SRE engineer remote job, you must understand how to configure software or applications as well as the deployment process. A DevOps/SRE Engineer job is to be responsible for keeping things operating smoothly, therefore expertise of all processes, from configuration to deployment, is required. DevOps/SRE Engineers must also automate the deployment process and other duties in order to improve dependability, consistency, and the quantity of accurate deliveries. In a DevOps/SRE job remote, he/she should also be familiar with cluster management tools and containerization in order to ensure that deployments go smoothly. To customize and deploy the application in the production environment, you can use technologies such as Puppet or Docker.

8. Get familiar with infrastructure as code

Infrastructure as Code is a strategy that allows you to simplify and automate the deployment process by generating the necessary environment based on the requirements. In the meanwhile, Infrastructure as Code allows you to control your IT infrastructure using configuration files. Ops may now declare the stack once as a declarative configuration file and deploy it numerous times, unlike in the past. Deployment also gets faster and may happen instantaneously on every commit. Infrastructure as Code technologies used by DevOps experts include Azure Resource Manager, Terraform, SaltStack, and many others.

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How to get remote DevOps/SRE engineer jobs?

It is quite gratifying to work as an engineer. However, a solid grasp of programming languages is required. It is advised that you practise until you get it right. Furthermore, having a product vision is necessary to stay in sync with the team. Good communication skills enable team members to collaborate and prioritise activities in accordance with the long-term objective.

Turing has made things a bit easier for you in your hunt for a remote DevOps/SRE engineer job. Turing provides the top remote DevOps/SRE engineer jobs that can help you advance your career as a DevOps/SRE engineer. Join a network of the world's greatest developers and earn full-time, long-term remote DevOps/SRE engineer jobs with greater pay and opportunities for advancement.

Why become a DevOps/SRE 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 DevOps/SRE engineers?

Every DevOps/SRE engineer at Turing has the ability to determine their own rate. However, Turing will propose a pay at which we are confident we can find you a successful and long-term opportunity. Our recommendations are based on our evaluation of market circumstances 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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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
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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