Remote Python/Docker back-end engineer jobs

We, at Turing, are looking for highly-skilled remote Python/Docker back-end engineers who can participate in design, development, integration, and maintenance of the automated deployment flow and implement the containerization strategies. Get a chance to work with top U.S. companies and accelerate your career.

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Job description

Job responsibilities

  • Implement object-oriented design, design patterns, and multi-tier client-server architecture
  • Take responsibility of integrating and defining containerization technologies
  • Build, scale, and monitor highly scalable applications and implement CI/CD pipelines
  • Collaborate with stakeholders and clients to define the architecture and product roadmap
  • Build and maintain highly available systems on Docker and implement an auto-scaling system
  • Keep up-to-date with the advanced technologies and automation practices

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science, IT (or equivalent experience)
  • At least 3+ years of experience in back-end development (rare exceptions for highly skilled developers)
  • Strong expertise in Python development, Django or similar frameworks
  • Significant experience on automation, DevOps, Docker, and container networking
  • Working experience with high availability, compute-intensive distributed applications
  • Understanding of machine learning and artificial intelligence algorithms
  • Comprehensive knowledge of operations and systems administration, specifically Linux
  • Strong understanding of Docker, and/or cloud deployment technologies
  • Knowledge of Docker-compose, Docker Swarm, and Docker Engine
  • Expertise in application deployment using CI/CD pipelines
  • Fluency in English language for effective communication
  • Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

  • Working knowledge of GNU/Linux
  • Familiarity with monitoring tools like Prometheus, Grafana, Datadog, etc.
  • Knowledge of alerting tools like OpsGenie, PagerDuty, etc.
  • Working experience with Agile methodologies
  • Ability to communicate ideas to team members and clients
  • Excellent problem-solving and organizational skills

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How to become a remote Python/Docker backend engineer?

Python/Docker back-end coders are among today's freed professionals in the IT market, and competition for top positions is strong. Python is one of the most popular online programming languages, and its popularity is growing all the time, especially in startup environments where time and money are typically restricted.

Docker is a group of PaaS products designed to simplify the process of designing, deploying, and operating applications using distinct pieces known as "containers" as simple as possible. Docker uses virtualization to provide software in packages, simplifying and accelerating workflows while also allowing developers to experiment with their preferred tools, application stacks, and deployment environments.

The need for Python/Docker back-end expertise has increased due to the benefits of the Python/Docker. Therefore, remote Python/Docker back-end engineer jobs are a fantastic opportunity for programmers. In the following sections, let me tell you more about becoming a Python/Docket engineer.

What is the scope in Python/Docker back-end development?

Python has been chosen as one of the most popular programming languages, beating out C, C++, and Java. Spotify, in particular, analyzes user data and employs Python in its back-end services to create accurate playlists and suggestions. On the other hand, Dropbox builds native apps on any platform using Python scripts (Windows, macOS, Linux, iOS, Android, etc.).

Docker has been hailed as the next-generation virtualization technology. Thanks to companies like Netflix, Spotify, PayPal, and Uber, who use the containerization system, its popularity is rising. Because of its lean and secure approach, containerization technology is increasingly being employed in full VMs to build reproducible and scalable environments. Therefore, engineers with Python/Docker skills are in high demand.

Are you looking for remote Python/Docker back-end engineer jobs? Let's take a closer look at how to become a Python/Docker back-end engineer now.

What are the roles and responsibilities of a Python/Docker back-end developer?

After landing Python/Docker back-end engineer jobs, the following are some of the most important responsibilities.

  • Implement object-oriented design, design patterns, and a multi-tier client-server architecture
  • Hold responsibility for defining and integrating containerization technology.
  • Implement CI/CD pipelines to build, scale, and manage extremely scalable applications.
  • Define the architecture and product roadmap in collaboration with stakeholders and clients.
  • Create and maintain highly available Docker systems and an auto-scaling solution.
  • Maintain a working knowledge of advanced technologies and automated processes.

How to become a Python/Docker back-end engineer?

Even though remote Python/Docker back-end engineer jobs necessitate a high degree of competence and expertise, anyone with a genuine interest in the field—and the ability to fulfill at least some of the responsibilities described above for a Python/Docker back-end engineer—is eligible to apply.

There are a number of different ways to learn the skills required to find remote Python/Docker back-end engineer jobs. When it comes to entering the field of Python/Docker back-end development, a computer science degree will provide you with a strong foundation and credentials. However, if you didn't do well in high school, you may be unable to enroll in a college that will help you find Python/Docker back-end engineer jobs.

Another way to become a successful Python/Docker back-end engineer is to enroll in a short-term boot camp program. The emphasis will be on teaching you the languages you'll need to apply in person or online for remote Python/Docker back-end engineer jobs. This could be a more affordable and less time-consuming option than a three- or four-year degree.

You can be confident that no matter which path you choose to become a remote Python/Docker back-end engineer, you will have a bright future and many opportunities in Python/Docker back-end engineer jobs ahead of you.

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Skills required to become a Python/Docker back-end engineer

Learning the relevant skills is the first step toward securing high-paying Python/Docker back-end developer jobs. Let's look at each technical skill necessary for remote Python/Docker back-end engineer jobs in more detail.

1. Python frameworks

Python frameworks let developers save time by removing the need to worry about low-level details like sockets, protocols, and threads. Once learned, frameworks like these can make life easier for a one-handed Python/Docker back-end developer. Since a framework can essentially save you the trouble of typing boilerplate code, a Python framework can help you build a prototype application rapidly.

2. Python libraries

One of the best things about Python is that it has one of the most comprehensive libraries available. There's a significant probability that what you're trying to do has already been done and is complete with the necessary documentation. Since a Python/Docker back-end developer will utilize the Python ecosystem's packages virtually every day, a clever developer should be experienced enough to identify, study, and appropriately implement them.

3. Knowledge of front-end technologies:

You may be mistaken if you believe that you will solely work with back-end technologies after landing remote Python/Docker back-end engineer jobs. A Python developer works primarily with front-end technologies to ensure that the client-side and server-side are in sync. The UI/UX team, project managers, and SCRUM masters are mainly encountered to organize the workflow in a corporate environment better.

4. Machine learning and artificial intelligence

Machine learning and artificial intelligence have recently experienced a surge in popularity. The reason being the industry's rapid innovation and its corresponding rate of adoption of such breakthroughs. Since ML and AI are extremely safe technologies, you must understand their fundamental principles and methods to fetch remote Python/Docker back-end engineer jobs.

5. Data science

When working on projects involving big volumes of data, understanding data science is also essential. So, learn data science before you apply for remote Python/Docker back-end engineer jobs. You'll have no issue giving your stakeholders a clear picture of your observations with the accompanying outliners once you've proven your ability to capture, analyze, visualize, and anticipate information from your data.

6. Using Docker machine and Docker client

Rather than executing containerized apps locally using Docker for Mac/Windows or a Linux machine, deploying them on the cloud is necessary. Docker-machine is a tool that makes it easy to create a remote virtual machine (VM) and manage containers. It allows you to control the docker engine of a VM created with docker-machine from a distance. It also lets you do things like update the Docker engine, restart the virtual machine (if the driver supports it) and check its status. When you need to create a deployment environment for your application and manage all of the microservices that run on it, Docker-machine comes in handy. You can use your machine to access a development, staging, and production environment and update them as needed.

7. Create custom Docker images

Understanding how to create Docker images for apps is essential to get hired for remote Python/Docker back-end engineer jobs. This is an important skill, whether you're just getting started with containerizing applications or diving deeper into Kubernetes development.

8. Interacting with Docker containers

Containers are intended to be self-contained. They can, however, use networking to send and receive requests to other programs. For example, a web-server container may expose a port to accept requests on port 80. An application container could also be linked to a database container. Some programs read and write files to exchange data. These programs can communicate by writing their files to a shared disc that other containers can access. A data processing program, for example, might write a file containing client data to a shared disc, which is then accessible by another program. On the other hand, two identical containers might share the same files. Understand the basics of Docker containers to fetch the best Python/Docker back-end engineer jobs.

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How to get remote Python/Docker back-end engineer jobs?

We've seen the skills required to get hired for remote Python/Docker back-end engineer jobs. When training, the most important thing to remember is to give it your best. Every day, new technological breakthroughs impact Python/Docker back-end development. As Python/Docker back-end programming gets more popular, more people will enter the field, increasing your competition. That won't stop you from achieving success in your profession if you strive to be the best version of yourself and stay current with the latest trends.

Turing provides the best remote Python/Docker back-end engineer jobs that help you meet your Python/Docker back-end engineer goals. You'll also have the chance to refine your skills by working on complex technical problems with other brilliant engineers. Join a global network of the best Python/Docker back-end professionals to find full-time, long-term remote Python/Docker back-end engineer jobs that pay more and allow you to progress professionally.

Why become a Python/Docker backend 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 Python/Docker backend engineer?

At Turing, every Python/Docker backend engineer is allowed to set their rate. However, Turing will recommend a salary at which we know we can find a fruitful and long-term opportunity to grow your Python/Docker backend engineer career. Our recommendations are based on our analysis of current market conditions and the demand that we perceive from our customers.

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.

Explore remote developer jobs

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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