Jobs Python

Work directly with a CTO who has 20+ years of building systems, on a product that is getting ready for launch. The LLM is at the core of it, the backend team is small, and your code goes into the first release.

We are hiring a Python backend engineer into our client's product team. Reviews here are detailed: you defend your decisions line by line and get feedback from someone who has seen most of the ways a system can fail. That is how you grow fast. The CTO also expects to hear "this is a bad idea" when it is one, with an argument behind it.

Use AI as much as you like. You own every line, whoever wrote it. You get a task and bring it back done: questions at the start, blockers raised the same day.

What you will do

• Own backend tasks from spec to production: API, data model, background jobs, integrations
• Build the layer around the LLM: checking model output, handling failures, quality tests
• Improve service stability before launch

What we need

• 4+ years of commercial development, Python as your main language. The framework is secondary
• You know how systems are put together: data structures and complexity, concurrency, queues, caches, transactions, indexes
• English Upper-Intermediate or higher: daily calls and written communication with the CTO
• Ukrainian or Russian for communication inside our team
• Nice to have: LLMs in production, asyncio, type hints and tests as a habit

Hiring process

1. We read your CV. If we have questions, we ask them in writing
2. Take-home task, AI allowed
3. Interview with our tech lead about your solution
4. Introduction to the client: interview with the CTO in English
5. After that the client will most likely give a take-home of their own, similar to ours. We go through it with our tech lead before you submit, and you defend it with the CTO at the final meeting

Terms

• You are employed by Tailored Tech and work inside the client's team. Full-time, fully remote, UA/EU time zone
• Paid probation, review of terms after it, then every six months
• Paid vacation and sick leave, AI subscriptions covered

To apply, send your CV and a few lines about the system you designed that you are most proud of.

A leading provider of innovative technology solutions, delivering cutting-edge services to businesses across various industries is looking for a Senior Python Developer. Our mission is to help organizations accelerate their digital transformation through scalable and secure backend technologies. Join us as we continue to drive growth, enhance customer experiences, and push the boundaries of technology.

Key Responsibilities:

• Backend Development: Develop, optimize, and maintain robust backend applications using Python (Django is a plus).
• Microservices Architecture: Design and implement scalable, efficient microservices architectures to support business needs.
• Cloud Solutions: Leverage AWS services (e.g., ECS, EKS, Lambda, S3, RDS) to design, develop, and deploy cloud-based applications.
• Kubernetes Management: Work with Kubernetes (K8s) to deploy and manage containerized applications ensuring smooth and efficient operations.
• Performance & Reliability: Ensure backend systems maintain optimal performance, reliability, and security to meet business and customer requirements.
• Collaboration & Strategy: Work closely with cross-functional teams to define system architecture and drive technical strategies for product development.
• Troubleshooting & Optimization: Identify and troubleshoot complex issues, applying solutions to improve system efficiency and reduce downtime.

Requirements:

• Experience: 7+ years of professional experience in software development, with a strong focus on backend technologies.
• Technical Skills:
  • Proficiency in Python (Django experience is a bonus).
  • In-depth understanding of Kubernetes (K8s) for container orchestration and management.
  • Experience in developing and deploying cloud solutions using AWS services, including ECS, EKS, Lambda, S3, and RDS.
  • Strong background in microservices architecture and distributed systems.
• Database Knowledge: Experience working with both relational and NoSQL databases.
• Problem-Solving: Strong debugging skills and a deep understanding of performance optimization techniques.
• Team Player: Ability to collaborate effectively with other developers, product managers, and engineers to ensure the success of key projects.

Preferred Qualifications:

• Knowledge of continuous integration and continuous delivery (CI/CD) pipelines.
• Experience with containerization tools like Docker.
• Familiarity with DevOps principles and practices

We are New Wave Devs, a senior engineering team. We are hiring a Senior Go engineer to join our client long term, a Dutch AI company that builds creative tools, on the backend of their product for creators.

It is a fast-paced product team. New image and video models go into production within a day or two of release. You will own real pieces of the backend and work directly with their engineers.

What you will do:
• Design and scale Go microservices that manage the lifecycle of AI generations: image, video, audio, 3D, vector
• Build and run generation pipelines around production image and video models, from ComfyUI workflows to hosted model APIs
• Run long, resource-heavy generation jobs as durable workflows (Temporal or similar): queues, backpressure, retries, resumable steps
• Work with AWS (EKS, S3, Lambda), Kafka and SQS for async processing, ConnectRPC / gRPC / GraphQL
• Bridge model outputs into user-facing creative workflows

You should have:
• 5+ years backend, Go-first
• Hands-on work with generative image or video models, at your job or in your own projects: ComfyUI, Stable Diffusion, Flux, video models or similar. Tell us what you built
• Long-running jobs or durable workflows in production: Temporal, Cadence, AWS Step Functions or similar
• AWS (EKS/K8s), Kafka or SQS, gRPC/ConnectRPC, microservices at scale
• Ownership mindset, comfortable when specs are not perfect, able to switch between shipping fast and building for scale
• Real interest in the product itself. The client asks about it directly
• Good English, daily work with the client team

Nice to have:
• LLM or RAG work in production: LangChain, LangGraph, pgvector or similar

We offer: long-term full-time contract through New Wave Devs, competitive rate, fully remote, fast start, days not weeks. A technical interview with our CTO, then a call with the client's engineers, with screen share and real code.

We are looking for a Senior Python Backend Engineer to join a long-term digital healthcare project.
 

About the Project

A fast-growing platform using AI to transform healthcare, with its technology already reaching millions of patients worldwide.

The product is used internationally and continues to scale, with ongoing development of backend services, APIs, integrations, and data processing. You will work in a distributed engineering team on a long-term basis and take ownership of backend features from design to production.
 

Requirements

• 5+ years of commercial experience with Python
• Experience with modern Python web frameworks
• Good understanding of REST APIs and backend architecture
• English — Upper-Intermediate or higher
   

Responsibilities

• Design and develop scalable Python backend services
• Build and maintain REST APIs
• Work with databases, migrations, and query optimization
• Integrate internal and third-party services
• Write unit and integration tests
• Participate in architectural decisions and code reviews
• Support production services and mentor less experienced engineers
   

We Offer

• 20 paid vacation days
• 5 paid sick days
• Laptop / monitor and all necessary equipment
• Performance review and salary review
• Long-term cooperation
• Fully remote work
• Professional development and learning opportunities

We are looking for a strong Senior Python Engineer to build MCP-based backend systems and LLM-powered integrations. This role is focused on Python, MCP, prompting, Git, and FastAPI/FastMCP, with room to quickly grow into adjacent areas such as embeddings, evals, Kubernetes, and LLM inference.
 

Core Requirements:

- Strong hands-on experience with Python, MCP, prompting, and Git.

- Solid backend engineering skills with FastAPI or FastMCP.

- Ability to design, build, and maintain reliable APIs and services for AI-driven workflows.
 

Nice to Have / Learn Fast:

- Exposure to Kubernetes, embeddings, evals, and LLM inference concepts such as temperature, top_p, guardrails, and bias mitigation.
 

What You’ll Do:

- Build and maintain Python-based MCP services and integrations.

- Develop backend APIs for LLM-powered products using FastAPI/FastMCP.

- Work on prompting, tool integration, reliability, and production readiness of AI workflows.

- Expand into modern LLM infrastructure and evaluation practices as needed.
 

A leading provider of innovative technology solutions, delivering cutting-edge services to businesses across various industries is looking for a Senior Python Developer. Our mission is to help organizations accelerate their digital transformation through scalable and secure backend technologies. Join us as we continue to drive growth, enhance customer experiences, and push the boundaries of technology.

Key Responsibilities:

• Backend Development: Develop, optimize, and maintain robust backend applications using Python (Django is a plus).
• Microservices Architecture: Design and implement scalable, efficient microservices architectures to support business needs.
• Cloud Solutions: Leverage AWS services (e.g., ECS, EKS, Lambda, S3, RDS) to design, develop, and deploy cloud-based applications.
• Kubernetes Management: Work with Kubernetes (K8s) to deploy and manage containerized applications ensuring smooth and efficient operations.
• Performance & Reliability: Ensure backend systems maintain optimal performance, reliability, and security to meet business and customer requirements.
• Collaboration & Strategy: Work closely with cross-functional teams to define system architecture and drive technical strategies for product development.
• Troubleshooting & Optimization: Identify and troubleshoot complex issues, applying solutions to improve system efficiency and reduce downtime.

Requirements:

• Experience: 7+ years of professional experience in software development, with a strong focus on backend technologies.
• Technical Skills:
  • Proficiency in Python (Django experience is a bonus).
  • In-depth understanding of Kubernetes (K8s) for container orchestration and management.
  • Experience in developing and deploying cloud solutions using AWS services, including ECS, EKS, Lambda, S3, and RDS.
  • Strong background in microservices architecture and distributed systems.
• Database Knowledge: Experience working with both relational and NoSQL databases.
• Problem-Solving: Strong debugging skills and a deep understanding of performance optimization techniques.
• Team Player: Ability to collaborate effectively with other developers, product managers, and engineers to ensure the success of key projects.

Preferred Qualifications:

• Knowledge of continuous integration and continuous delivery (CI/CD) pipelines.
• Experience with containerization tools like Docker.
• Familiarity with DevOps principles and practices

We are looking for a Python Developer and OSS/BSS Integration Consulting to develop a connector for a major US telecom network automation orchestrator (OSS, Order Management, and Inventory ecosystem). The connector will serve as a mediator between the orchestration platform and a network security appliance developed by an Israeli startup and deployed in this network.

Requirements

• Proven experience in Python programming, including microservices, communication protocols, and databases.
• Background in BSS/OSS from Netcracker, Amdocs, Ciena, Salesforce, Cisco NSO is an advantage.
• Knowledge of FastAPI, REST, SOAP, and other APIs.
• Proficiency in Linux, Docker, and Kubernetes.
• Background in network automation and orchestration platform development is an advantage.
• Knowledge of network protocols (TCP/IP, BGP, OSPF, routing/switching) is an advantage.
• C1 English and strong communication & collaboration skills

We offer

• Remote work, mixed international team, cutting-edge technologies, and flexible working hours.
• The project that you are not ashamed to write about in your resume.
• High salaries and bonuses.
• Business trips to Israel (beach hotel, rented car).
• A friendly team with experienced mentors instead of bosses.

We build internal products and automation for our own teams to improve day-to-day business processes. Most tasks revolve around processing large datasets (millions of rows) and turning them into reliable, reusable outputs.

You'll work 50/50 between Python development and data work: building scripts/services and data pipelines, mainly with Pandas, plus some SQL and PySpark.

    What You'll Do

• Build internal tools and automation around data processing and reporting.
• Develop and maintain pipelines that ingest data from APIs and large files.
• Transform and validate data using Pandas; write clean, tested, maintainable Python.
• Use SQL mainly to extract data and for joins/aggregations when needed.
• Contribute to large-scale processing (PySpark/Spark) when applicable.

• Refactor and optimize existing scripts and pipelines; improve performance, readability, and reliability (tests/logging).

   

    What We're Looking For

• 2+ years of experience with Python in production.
• Strong Pandas: efficient transformations, joins/merges, memory/performance considerations.
• Solid engineering habits: tests, code review, debugging, and readable code.
• Working knowledge of SQL (MS SQL Server is our primary DB, but any RDBMS is fine).
• Comfortable with Linux and Git; daily tooling skills (e.g., VS Code).
• Excellent organizational and task management abilities.
• Self-motivated with the ability to work independently.
• Good written and spoken English communication skills.

    Nice to Have

• PySpark/Spark and/or Hadoop exposure; distributed processing concepts.
• Azure experience (storage/compute) or participation in on-prem → cloud initiatives; workflow orchestration is a plus.
• Data modeling fundamentals and basic ML understanding; а portfolio (GitHub/website) or examples of end-to-end projects/products (clean repo structure, README, tests) is a plus.

As our client's data business grows, the Data Division's AI Platform Services team is building applications and platforms for customers using data in AI and ML projects. As a Senior Software Engineer, Backend, you will build the APIs, services, integrations, and data-access systems behind those products. You will help make complex data workflows reliable, secure, observable, and scalable for customer-facing and internal applications.
 

Responsibilities:
- Build and evolve reliable backend services, GraphQL and REST APIs, and integrations that power customer-facing and internal applications.
- Design and maintain clear API contracts and data-access patterns for application workflows.
- Work with relational and NoSQL databases to deliver dependable, scalable application behavior.
- Build asynchronous and event-driven processing where it improves product workflows and system resilience.
- Improve testing, observability, performance, and operational readiness for the systems you own.
- Own substantial work from implementation through deployment, production support, and incremental improvement.
- Partner with frontend engineers, product, design, and data teams to deliver useful product capabilities.
- Contribute to code reviews, shared engineering practices, and peer learning.
 

Requirements:
- Experience making significant contributions to production backend systems, APIs, or services.
- Agentic development is a core part of how you work: you use it deliberately to explore, build, and deliver projects, and can articulate the practices that make it effective.
- Strong experience with TypeScript and Python for server-side application development.
- Experience designing, building, and integrating GraphQL and REST APIs.
- Experience with relational databases such as PostgreSQL or MySQL, and NoSQL systems such as DynamoDB or Cloud Firestore.
- Experience building and operating serverless functions with AWS Lambda or Cloud Run functions.
- Experience with automated testing, debugging, and production support for distributed or service-based systems.
- Familiarity with Git-based collaboration and continuous-integration workflows.
- Strong communication skills and a constructive approach to pull-request reviews and peer mentorship.
 

Nice to have:
- Experience with GCP services such as Cloud Run and GKE for application workloads, Pub/Sub for asynchronous processing, and Cloud SQL.
- Experience with authentication, search, and cloud infrastructure.
- Experience with messaging, queues, and event-driven architectures.
- Experience building services for AI-enabled products and data-intensive workflows.
- Familiarity with observability tools and using production signals to guide performance and reliability improvements.
- Experience integrating services with external APIs and MCPs.
 

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

We are looking for a Simulation Engineer to build and maintain the simulation tooling behind slot game mathematics within an iGaming product.

You will turn mathematical specifications into fast, reproducible, configuration-driven simulations, run large-scale Monte Carlo simulations, validate game mathematics, and prepare reports and datasets used throughout the game development process.

You will work closely with a Game Mathematician, who owns the mathematical model. Your role is to turn those specifications into reliable simulation tools and ensure that the results are accurate, reproducible, and ready to be used by developers, QA, and the wider game team.

Prior experience with slot games or iGaming is welcome, but not required. We are also open to engineers with strong experience in applied probability, statistics, quantitative modelling, or other computational domains.

What You’ll Do

• Build and maintain a configuration-driven simulation framework for slot games, with reels, weights, paytables, and feature parameters defined through configuration rather than hard-coded logic.
• Make the simulation tooling accessible to Game Mathematicians, allowing them to run balancing iterations and test different configurations without engineering involvement.
• Run and analyse large-scale Monte Carlo simulations to validate key game metrics, including RTP, payout distribution, volatility, hit rate, and maximum-win frequency.
• Analyse simulation convergence, confidence intervals, variance, and rare-event distributions to ensure statistically reliable results.
• Build reproducible simulation workflows, including seeded runs, versioned configurations, and exportable results.
• Generate tables, configuration files, datasets, and other outputs required for mathematical documentation and game validation.
• Prepare math validation reports based on simulation results.
• Cross-check simulation outputs against analytical calculations and simplified known-answer configurations.
• Develop and maintain unit and regression tests for payout calculation logic and RTP across configuration changes.
• Support developers and QA during integration and testing by investigating and reconciling differences between the reference simulation and the production game engine.
• Contribute to improving the performance, reliability, and usability of the simulation framework.

Additional Opportunities

Depending on your experience and interests, you may also:

• Build visualisation and reporting tools for payout distributions and simulation results.
• Set up CI pipelines for automated simulation runs and regression testing.
• Optimise computationally intensive workloads using technologies such as Numba, Cython, C++, or Rust.
• Participate in the full slot game lifecycle, from mathematical concept and balancing through development, testing, and release.

What We’re Looking For

• Strong Python engineering skills, including NumPy, vectorisation, profiling, and processing large volumes of data.
• Experience building reliable, reusable, configuration-driven tools rather than one-off scripts.
• Understanding of reproducible computational workflows, including seeded simulations and versioned configurations.
• Strong knowledge of applied statistics, including confidence intervals, convergence, variance, distributions, and rare events.
• Ability to work precisely from a written mathematical or technical specification and proactively identify ambiguities or missing requirements.
• Strong testing discipline, including unit testing of calculation logic and validation of simulated results against analytical or known-answer values.
• Strong analytical thinking and attention to detail, particularly when working with probabilistic models and large simulation datasets.
• Ability to take ownership of simulation accuracy and the reliability of results.
• Comfortable working closely with mathematicians, developers, and QA engineers.

Nice to Have

• Experience with iGaming, online casino, slot games, or game mathematics.
• Experience working with reels, paytables, RTP, volatility, hit rates, bonus features, or other slot-game mechanics.
• Background in a domain involving applied probability, statistics, or computational modelling, such as quantitative finance, actuarial science, sports betting, computational physics, or operations research.
• Experience with Numba, Cython, C++, or Rust for performance optimisation.
• Experience building CI pipelines for computational or simulation workloads.
• Understanding of iGaming compliance and regulatory requirements.

Tech Stack

Python · NumPy · Monte Carlo Simulation · Applied Statistics · Configuration-driven Systems · Automated Testing · CI/CD

Nice to have: Numba · Cython · C++ · Rust · Data Visualisation

We are looking for a Team Lead Python to join our team!

Requirements:
- 5+ years of commercial Python development experience.
- 1+ years as a Team Lead.
- Experience with Docker, Kubernetes, CI/CD and cloud environments.
- Understanding REST, experience with different protocols (especially http and gRPC))
- Experience with databases (MongoDB/PostgreSQL/MySQL/Redis) and messaging systems (NATS, Kafka, RabbitMQ or similar).
- Strong engineering practices (code reviews, testing, clean code) and people management skills.

Will be plus:
- Experience with Grafana/LGTM, Datadog or similar observability tools.
- Experience with DORA metrics or engineering performance metrics.
- On-call experience.

Responsibilities:

- Lead a team of backend engineers, providing technical guidance, mentoring and regular feedback.
- Own the team's technical delivery—from planning and estimation to releases and production support.
- Drive code quality, architecture decisions and continuous improvement of existing services.
- Collaborate with Product, QA, DevOps and other stakeholders to ensure predictable delivery.
- Hire, onboard and develop engineers while fostering a culture of ownership and accountability.

Our benefits to you:

☘️An exciting and challenging job in a fast-growing business group, the opportunity to be part of a multicultural team of top professionals in Development, Architecture, Management, Operations, Marketing, Legal, Finance and more

🤝🏻Great working atmosphere with passionate experts and leaders, sharing a friendly culture and a success-driven mindset is guaranteed

🧑🏻‍💻Modern corporate equipment based on macOS or Windows and additional equipment are provided

🏖Paid vacations, sick leave, personal events days, days off

💵Referral program — enjoy cooperation with your colleagues and get the bonus

📚Educational programs: regular internal training sessions, compensation for external education, attendance of specialized global conferences

🎯Rewards program for mentoring and coaching colleagues

✈️In-house Travel Service

🦄Multiple internal activities: online platform for employees with quests, gamification, presents and news, clubs for movie / book / pets lovers and more

🎳Other benefits could be added based on your location 

About the role

Gogloby is hiring a Junior Software Developer to work on products for gogloby.com using cutting-edge AI technology. You will spend 100% of your working time on hands-on software development, supported by a small team and an AI-first development process.

Recent graduates are welcome. The role is designed for someone with strong fundamentals, visible energy, curiosity, and the discipline to grow quickly through real product work.

What you will do

• Design, build, test, debug, and maintain production software using Python and JavaScript.
• Work across backend, frontend, databases, and API integrations according to product priorities.
• Use AI development tools such as Claude Code, Cursor, and GitHub Copilot as part of the daily engineering workflow.
• Write and refine prompts that help generate, review, troubleshoot, and improve code.
• Contribute to products built with REST APIs, relational databases, and both monolithic and microservices-oriented architectures.
• Investigate issues independently, ask useful questions, and bring possible solutions or new ideas to the team.
• Handle changing priorities and parallel tasks without losing ownership, communication, or delivery discipline.
• Collaborate transparently in a small, fully remote startup team.

Required qualifications

• Education: Bachelor's degree (Bc.) or higher in Computer Science.
• Experience: 1+ year of professional software development experience. Recent graduates are encouraged to apply.
• Core languages: Working knowledge of Python and JavaScript.
• Software fundamentals: Understanding of SQL, relational databases, REST APIs, and the concepts behind monoliths and microservices.
• AI-first development: Comfort using AI coding assistants and following an AI-first software development process.
• Prompt engineering: Ability to write clear, structured prompts and iterate based on results.
• English: Strong spoken and written English for daily remote collaboration.
• Work habits: Discipline, punctuality, openness, transparency, teamwork, and a strong desire to study and improve.
• Availability: Ability to commit to a full-time, 40-hour workweek without conflicting employment obligations.

Nice to have

• Experience with Java, React, Next.js, or Node.js.
• Personal, university, open-source, or pet projects related to AI.
• A portfolio, GitHub profile, demo, or technical write-up showing what you have built and learned.
• Experience shipping a small project end to end, even outside formal employment.

Compensation and working conditions

• Compensation in USD
• Fully remote from Ukraine
• Unlimited PTO, coordinated with the team
• Startup pace, changing priorities, small team, high learning curve

About Digis

We are a European IT company with 200+ specialists delivering SaaS platforms, enterprise solutions, and cloud-native products for clients worldwide. We focus on building strong, long-term teams and supporting continuous professional growth.

About the Project

A fast-growing SaaS company developing a Unified API platform that helps software vendors connect their products with financial and business tools.

The platform enables seamless data synchronization across accounting, finance, and other SaaS systems, helping businesses reduce data silos and expand their integration capabilities. You will contribute to the product’s development, architecture, and future technical direction.

Responsibilities

• Scale and optimize the case detection scanner to improve its performance and reliability.
• Decompose the existing API into multiple independent and scalable services.
• Set up a local development environment for emulating Google Pub/Sub and Cloud Run.
• Design and develop an integration connector for Sage.

Requirements

• 5+ years of professional experience with Python.
• 2+ years of hands-on experience with FastAPI or Flask.
• 1+ year of experience with SQL.
• Upper-Intermediate English or higher.

Why This Project Is Exciting

• Autonomy: A results-oriented environment built on trust.
• Product Impact: An opportunity to contribute to the product and its technical direction.
• Stable and Growing Product: Work on an established SaaS platform with international clients.
• Professional Growth: Gain experience with financial integrations and scalable API solutions.

We Offer

• 20 paid vacation days per year.
• 5 paid sick days per year with no medical documentation required.
• A personalized development plan supported by individual professional growth goals.
• Compensation for professional and subject-matter training.
• Necessary work equipment and workplace setup support, if needed.
• Assistance with selecting English courses and compensation for course fees.
• A horizontal organizational structure with open and transparent communication.
• Opportunities to switch between projects and technologies within the company.
• Accounting support.

• • Free access to corporate psychologist services.

Description

The project focuses on developing and maintaining an on-premises environment for hosting AI-enabled applications and processing imaging data.

The solution is deployed on dedicated physical server infrastructure located within customer facilities and hosts both third-party and internally developed software components.

The engineering scope includes development and automation of the server environment, Linux configuration, containerized deployments, infrastructure automation, system integration, and automated verification.

The team will work on improving deployment reliability, maintainability, security, and operational efficiency of the platform across different customer environments.

Requirements

• Demonstrated professional experience of 5–8 years in software development, with strong hands-on expertise in Python-based backend, automation, or infrastructure-related solutions.
• Strong experience working in Linux-based environments and developing software intended for deployment on physical or virtualized server infrastructure.
• Ability to work effectively in a cross-functional engineering environment and independently drive technical tasks from design through implementation and verification.

Required Skills:

• Advanced Python programming skills, including experience developing maintainable, production-grade applications and automation solutions.
• Strong practical experience with Linux OS, including system configuration, troubleshooting, scripting, and administration.
• Hands-on experience with Docker, containerized applications, image management, networking, and deployment.
• Practical experience with Ansible for infrastructure configuration, provisioning, and deployment automation.
• Understanding of DevOps practices, including CI/CD, build and deployment automation, configuration management, and environment management.
• Experience implementing automated unit tests and integrating testing into development and CI/CD workflows.

• Good understanding of networking, system services, logging, monitoring, and troubleshooting distributed or containerized applications.

   

Job responsibilities

• Design, develop, and maintain Python-based services, automation components, and infrastructure tooling for the AI Host environment.
• Develop and maintain automated provisioning and configuration processes using Ansible.
• Build and maintain Docker-based deployment environments.
• Configure, maintain, and troubleshoot Linux-based server environments used for on-premises deployments.
• Participate in the design and evolution of the AI Host platform architecture, ensuring scalability, maintainability, reliability, and security.
• Implement deployment and configuration automation to simplify installation and maintenance of the solution in customer environments.
• Develop comprehensive unit tests and automated verification mechanisms to ensure software quality and deployment stability.
• Contribute to CI/CD pipelines and continuously improve development, build, testing, and deployment processes.
• Investigate and resolve complex software, infrastructure, containerization, and operating-system-level issues.
• Conduct code reviews and contribute to engineering standards and development best practices.
• Collaborate with customers’ engineering stakeholders to deliver integrated solutions.
• Create and maintain technical documentation covering architecture, deployment, configuration, troubleshooting, and operational procedures.
• Evaluate and recommend appropriate technologies and tools based on project requirements and technical constraints.

We’re expanding our team and looking for a Django/DRF Developer to join Dataforest. If you’re looking for a friendly team, a healthy working environment, and a flexible schedule — you’ve found the right place to send your CV.

You'll be a great fit if you have:

- 3+ years of experience with Django and it's components;

- Experience with RESTful APIs, DRF and related libraries;

- Experience with Celery and async task management;

- Experience with SQL and query optimisation;

- Experience of writing tests;

- Able to work independently and excellent in communicating challenges and issues;
 

Would be a plus:

- Experience with AWS services (EC2, API Gateways, Lambda, SQS);

- Experience with NoSQL databases (Redis, Elasticsearch, etc.);

- Experience of end-to-end implementation for new functionality;

- Experience with payment systems integrations (Stripe, Shopify, Recurly, Paypal, Braintree, etc.);

- Experience with chargeback management tools (Ethoca, RDR, CDRN, etc.);

- Understanding how to handle high load on projects;
 

What you'll do:

- Design, develop and maintain payment gateway and other integrations;

- Design and develop new features and maintain existing functionality.

- Design and develop web applications using Python/Django/Celery.

- Design, develop and maintain RESTful APIs using Django Rest Framework (DRF).

- Write clean and well-structured code that is easy to read and maintain;

- Write and maintain technical documentation.

- Write and maintain unit tests to ensure code quality.

- Optimize and maintain the security, performance, and usability of the applications.

- Collaborate with the PM/Frontend/DevOps/QA and others team members.

We ensure your growth with:

- Great networking opportunities with international clients, challenging tasks;

- Building interesting projects from scratch using new technologies;

- Personal and professional development opportunities;

- Competitive salary fixed in USD;

- Paid vacation and sick leaves;

- Flexible work schedule;

- Friendly working environment with minimal hierarchy;

- Comfortable, spacious and well-equipped office in the city center;

- Team building activities, corporate events.