Jobs Python

By applying for this position, you may join one of the most respected and rapidly growing institutional investors globally. Our client is a professional investment management organization that manages funds to ensure long-term sustainability. The company invests across all major asset classes, including public equity, private equity, real estate, infrastructure, and fixed-income instruments, with offices in Toronto, London, Hong Kong, New York, São Paulo, Luxembourg, and Mumbai.

The client attracts and selects high-caliber individuals from top-tier institutions worldwide. Joining the team offers the opportunity to work with diverse and inspiring colleagues and approachable leaders, engage in stimulating work within a fast-paced and intellectually challenging environment, and gain accelerated exposure and responsibility. There are also global career development opportunities and the motivation of contributing to an important social purpose grounded in strong principles. The organization maintains a deeply rooted culture centered on integrity, partnership, and high performance.

If you are passionate about performance, value a collegial and collaborative culture, and uphold the highest standards of integrity, this opportunity may be right for you.

• Responsibilities:

  The Technical Lead will oversee the technical strategy and execution of fintech projects, managing a distributed team of Python developers and ensuring seamless delivery on AWS infrastructure. This role merges technical leadership, people management, and client communication, requiring a proactive and empathetic approach to both technology and team development.
  Key Responsibilities
  • Lead and coordinate a remote development team across multiple time zones to deliver high-quality fintech software solutions.
  • Oversee project architecture, development, deployment, and performance optimization using Python and AWS.
  • Ensure robust, scalable, and secure system design aligned with fintech industry standards and compliance requirements.
  • Build and maintain strong client relationships, providing regular progress updates and strategic technical insights.
  • Conduct regular performance reviews, one-on-one check-ins, and mood monitoring to foster engagement and well-being within the team.
  • Mentor engineers, support professional growth, and encourage knowledge sharing across teams.
  • Manage project timelines, risks, and dependencies in accordance with agile principles.
  • Identify and drive improvements in development processes, collaboration practices, and product quality.
  • Collaborate with product managers and business stakeholders to align technical solutions with strategic goals.

• Mandatory Skills Description:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 8+ years of experience in software engineering with at least 2 years in a technical leadership role.
  • Proven expertise in Python development (Django, FastAPI, Flask, or equivalent).
  • Solid experience with AWS (ECS, Lambda, S3, CloudFormation, RDS or similar services).
  • Previous experience leading distributed or cross-cultural engineering teams.
  • Strong communication skills and ability to manage relationships with both internal and external stakeholders.
  • Demonstrated success delivering fintech systems (e.g., payment gateways, banking APIs, compliance tools).
  • Deep understanding of Agile/Scrum methodologies.
  • Fluent in English (written and spoken).

We’re looking for a Super Talent who can bridge the gap between experimental research and scalable production systems.

You will take ownership of the software architecture behind two high-precision optical platforms, helping evolve a research-driven Python environment into a reliable, industrial-grade system built with C++/Rust/C.
 

What We’re Looking For

• 6+ years building software for complex hardware systems (e.g. robotics, semiconductor equipment, industrial automation, or laser-based systems)
• Strong Python expertise and solid experience with at least one systems language (C++, Rust, or C)
• Experience with multi-device coordination, state machines, and debugging hardware/software interactions using schematics
• Hands-on experience working with vendor SDKs and APIs (controllers, cameras, signal generators, etc.)
   

We are looking for a skilled Python Engineer (Mid-Senior) to join our team building platform for building AI agents and serverless automation with fine-grained access control.

Important!

This role involves some travel to the Netherlands to collaborate closely with the client, run in-person consulting sessions at the WeAreBrain office in Amsterdam, and occasionally visit the client’s office. Candidates must have the flexibility and ability to travel within Europe.

About the Project:

It's a platform for building AI-powered applications. It brings together multi-provider LLM agents, serverless Python functions, persistent state, database querying, file storage, and template rendering — all behind a single API with role-based access control.

That platform allows customers to build:
- Internal copilots per department
- Process automation agents
- AI-powered internal tools
- AI features inside your own products

Our stack includes Python (FastAPI, LangChain), React portals, and cloud-native infrastructure (Kubernetes, Docker, GitHub Actions).

For teams building AI
- No more rebuilding auth, memory, RAG and integrations
- Faster delivery of production-grade tools
- Shared standards across all AI initiatives

For IT, security & leadership
- One place to enforce data access rules
- One place to audit AI behavior
- Full ownership of data in a private security perimeter
- Fewer uncontrolled risks

Tech Stack:
— Python 3.11+, FastAPI, Flask
— SQLAlchemy, PostgreSQL, MongoDB, Redis, Alembic
— PaddleOCR, Tesseract, custom NLP models
— Docker, Kubernetes, GitHub Actions
— React + TypeScript + Vite (frontend)
 

Responsibilities:
— Develop, test, and maintain Python microservices and agentic AI workflows
— Collaborate with frontend, DevOps, and business owner to deliver seamless solutions
— Write clean, readable, and well-documented code using type hints and Pydantic model
— Participate in code reviews and contribute to continuous improvement
— Ensure system stability, security, and compliance (AVG/GDPR)
— Research and prototype new technologies (LLMs, OCR, cloud-native patterns)
— Support CI/CD, testing, and deployment automation

Qualifications:
— 5+ years of professional Python experience, ideally with microservices or AI/NLP project
— Experience with FastAPI, SQL/NoSQL databases, and cloud infrastructure
— Familiarity with Docker, Kubernetes, and GitHub Actions
— Understanding of REST APIs, authentication (OAuth2, JWT), and security best practices— Experience with frontend integration
— Good communication and collaboration skills; fluent English (B2+)
— Bachelor’s degree in Computer Science, Software Engineering, or related field
— Experience with testing frameworks (Pytest, etc.)
 

What we offer:
*Flexible working conditions
*Competitive salary depending on your experience with a comprehensive benefits package, which includes a monthly €50 stipend to cover work-from-home expenses, and an allocation of 25 vacation days.
*After one year, WeAreBrain offers access to a Team Reward Program for all employees.
*Innovative Exploration: Seize the chance to pioneer your department, venturing into uncharted territories, and experimenting with fresh ideas that push boundaries.
*Entrepreneurial: Immerse yourself in a true entrepreneurial environment where every team member is an owner.Office Perks: We organise lunch in the office and have monthly gatherings for drinks and bites, fostering our team spirit.
*Remote Work Flexibility: Our team has the freedom to work remotely, allowing you to achieve a healthy work-life balance that suits your preferences.
*Professional Growth: We value your growth. Take advantage of diverse opportunities and resources designed to nurture your professional development.
*A creative and dynamic work environment.
 

Apply for the job
Do you want to join our team as our new Senior Python Engineer? Then we’d love to hear about you!

Senior Backend Developer (CRM from scratch)

We’re looking for a Senior Backend Developer to build a CRM system from scratch. You’ll have a strong impact on architecture, product decisions, and business logic.

Responsibilities:

• Design and develop CRM architecture from scratch
• Build and optimize databases
• Develop APIs (REST / GraphQL / Webhooks)
• Implement business logic (sales pipeline, roles, access control)
• Integrate with external services
• Ensure data security and integrity

Must-have:

• 3+ years of backend development experience
• Strong SQL and database design skills (normalization, indexing, optimization, ER-diagrams)
• Experience with APIs (REST / GraphQL / SOAP, Webhooks)
• One of the stacks: Python / Node.js / PHP
• Docker + cloud platforms (AWS / GCP / Azure)
• NoSQL (Redis / MongoDB)
• Understanding of RBAC, audit logging, data security (GDPR, encryption)
• Experience with ETL processes and data handling (validation, cleaning)

Nice to have:

• Experience building CRM systems
• Strong business/system analysis skills

We offer:

• Build a CRM from scratch (no legacy)
• High impact on technical decisions
• Fast processes, no bureaucracy

About the company

codeIMPL was launched in 2018 with a large knowledge and experience in mobile development.
Since that we help businesses and individuals establish their presence on any modern device and
platform — mobile, web, etc.

Our clients are large worldwide companies, that develop important and significant solutions in
FinTech, Blockchain, DeFi, Health & Fitness, Gambling domains.
In codeIMPL we use modern, innovative technologies and approaches that allow us to support any
solution and provide the foundation for its future scaling and enhancement.

About the product
Project: fintech, payment system.

Responsibilities
● Develop and maintain asynchronous backend services (FastAPI, ARQ, service-oriented and
microservice applications).
● Write clean, testable, and maintainable code.
● Participate in design discussions and suggest improvements to performance and developer
experience.
● Collaborate openly with backend, frontend, DevOps, and product teams.

Requirements
● 3+ years of hands-on experience with Python (asyncio, typing, pydantic);
● Solid experience with SQLAlchemy 2.0 and Alembic;
● Proficiency in writing unit and integration tests (Pytest/Unittest);
● Hands-on experience with FastAPI and async task processing (ARQ/Celery/RQ);
● Database skills: PostgreSQL (indexes, transactions, RLS). Knowledge of
TimescaleDB/ClickHouse is a plus;
● Experience in database query optimisation (EXPLAIN, keyset pagination, batching);
● Understanding of idempotency and outbox/event sourcing principles;
● Experience with Docker, docker-compose, local environments;
● Basic knowledge of Kubernetes and AWS (SQS, RDS, S3) is a plus;
● Hands-on experience with creating and supporting PCI DSS compliant applications is a plus;
● Experience in creating skills, commands and agents for Claude AI is a plus;

● Understanding of observability (structured logs, traces, metrics).

We offer:
● Full-time remote job;
● Paid annual leave;
● Work with professional team and friendly atmosphere;
● Minimum of bureaucracy.

About the Role

We are looking for a skilled Middle+ Python Backend Engineer to join our team and work on building scalable backend systems using AWS serverless architecture.

This role involves working with high-load systems, optimizing performance, and actively contributing to architecture improvements and refactoring of existing solutions.

Involvement on project - up to 3 months 

Responsibilities:

• Design, develop, and maintain backend services using Python (Django / DRF)
• Build and evolve serverless and event-driven architectures (AWS Lambda, EventBridge)
• Develop and maintain RESTful APIs and CRUD endpoints
• Integrate with AWS services such as Cognito, SES, SNS, API Gateway, Secrets Manager, etc.
• Work extensively with PostgreSQL: write and optimize complex SQL queries, implement procedures, triggers, indexes, and constraints
• Optimize performance for high-volume data processing
• Refactor legacy code and improve overall system architecture
• Set up and maintain CI/CD pipelines
• Implement and maintain alerting, notification, and rule-based backend flows
• Perform debugging, testing, and troubleshooting
   

Requirements:

• 4+ years of experience in backend development with Python
• Strong hands-on experience with Django / Django REST Framework
• Solid experience with AWS Lambda
• Good knowledge of AWS ecosystem, including: Cognito, SES, SNS, API Gateway, EventBridge, CloudFormation
• Strong experience with PostgreSQL
• Experience building event-driven / serverless systems
• Experience with API development and CRUD operations
• Understanding of alerting/notification systems or rule-based backend workflows
• Experience with CI/CD pipelines and deployment troubleshooting
• Ability to work with legacy code, refactor duplicated logic, and improve architecture
• Experience with performance optimization in high-load systems
• Strong debugging and testing skills

About the Project

The project is an online platform designed to systematize and manage a comprehensive range of therapies, supporting complex domain logic and long-term product evolution.
The backend is built on a legacy Django-based framework, requiring a senior-level engineer capable of understanding, maintaining, and gradually improving an existing system.

This role is for a highly autonomous Senior Python Developer who will be the sole developer on the project, fully owning the technical direction, daily execution, and system evolution.

👉 Key Responsibilities:

• Take full ownership of the backend system built with Django.
• Translate business requirements into technical solutions and execution plans.
• Maintain and evolve a legacy codebase, improving stability, performance, and maintainability over time.
• Design and implement new features using PostgreSQL, Celery, Redis, and Elasticsearch.
• Proactively identify technical debt and propose pragmatic improvement strategies.
• Use AI tools to improve development efficiency, debugging, and refactoring where appropriate.
• Ensure system reliability, scalability, and long-term sustainability.
   

👉What We’re Looking For:

• 6+ years of professional experience as a Python Developer.
• Strong hands-on experience with Django in production environments.
• Solid knowledge of PostgreSQL, relational data modeling, and query optimization.
• Experience with asynchronous/background processing using Celery and Redis.
• Practical experience with Elasticsearch or similar search technologies.
• Experience in SEO optimization.
• Proven ability to work independently and autonomously as the sole developer on a project.
• Strong business-to-technology translation skills — ability to understand business goals and implement them technically.
• Proactive problem solver who takes ownership and responsibility for outcomes.
   

👉 Ideal Mindset:

• Ownership & Responsibility: You treat the system as “your product.”
• Creative Contributor: You suggest better approaches, not just implement tasks.
• Efficiency through AI: You actively use AI tools to speed up development and problem-solving.
• Passion & Engagement: You care about the product, its users, and its long-term success.

👉 What we offer:
 

📈 Professional Growth opportunities:

• Ambitious goals and interesting projects;
• Regular & transparent performance review and feedback process;
• Possibility for both vertical or horizontal growth (in case you want to try a different path).
   

😌 Comfortable Working conditions

•  Flexible working hours;
• Provision of required equipment;

• Remote working model.

   

🎁 Benefits program

• 18 working days of fully paid vacation;
• Free tax reporting support by our Financial department;
• Help with individual entrepreneurs’ questions and accounting support;
• Financial support and additional days off for various occasions (e.g. marriage, childbirth, etc.).

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

About the role:
We are looking for a Back-End/Platform Engineer to join our team and help build, maintain, and scale AI-powered interactive products.
This is a hands-on role for an engineer who owns deployment, infrastructure, real-time systems, and AI-service integration end to end. You will work on production systems that combine web applications, real-time communication, Kubernetes-based backend services, and GPU-hosted AI pipelines.
The core of this role is production reliability and deployment ownership — keeping live systems stable, responding to incidents, and integrating AI models into scalable real-time infrastructure. Frontend work exists but is secondary: the team has a designer and uses AI-assisted tooling for UI iteration.

Responsibilities:
- Own deployment, environment management, and release workflows across Kubernetes-based, Railway-hosted, and other cloud infrastructure.
- Deploy and operate AI inference services on GPU platforms such as Modal or RunPod and integrate them into real-time product flows.
- Build and maintain real-time communication and async processing flows, including LiveKit-based session infrastructure.
- Work with Python and TypeScript(Node.js) / JavaScript application code in production environments.
- Support database-backed product features, schema evolution, and migration workflows.
- Improve observability, logging, monitoring, and incident debugging workflows.
- Contribute to frontend and backend product functionality as needed, using AI-assisted tooling where appropriate.
- Maintain clear and up-to-date documentation for every product, service, and integration, including architecture diagrams, API contracts, deployment procedures, and environment configuration.
- Ensure every new feature is discussed, scoped, and agreed upon before implementation begins. No undocumented or uncoordinated changes to production systems.
- Collaborate with engineering and product stakeholders to clarify requirements, identify risks, and ship practical solutions.

Required skills:
- Strong hands-on experience with Python for production backend development.
- Experience with Kubernetes, Helm, and container-based deployment workflows.
- Experience with real-time systems: WebSocket-based communication, session lifecycle management, and event-driven flows.
- Experience deploying and operating AI inference services on GPU platforms such as Modal, RunPod, Replicate, or similar.
- Experience integrating LLM-based services, voice AI APIs, or media-processing pipelines into production systems.
- Experience debugging distributed or multi-service systems, including reading logs across multiple services and environments.
- Solid understanding of backend APIs, service integration, and system design.
- Experience with PostgreSQL and ORM-backed schema management and migrations.
- Experience with TypeScript (Node.js) and frontend experience to ship and deploy UI changes with AI-assisted tooling.
- Ability to work independently and bring structure to ambiguous technical situations.
- Strong written and verbal English communication skills.
- Experience using AI-assisted coding tools (e.g., Cursor, GitHub Copilot, Gemini) for faster development and iteration

What we offer:
- Real impact: your content will directly attract new clients.
- Mentorship and growth.
- Freedom to experiment and test new formats.
- Flexible schedule and a remote-first culture.

At Uvik Software, we specialize in assembling top-tier dedicated development teams and delivering exceptional software solutions to clients across the globe. We are passionate about clean code, great collaboration, and cutting-edge technology👩‍💻🧑‍💻🦾.


We’re on the lookout for a Python Engineer who is eager to grow, build scalable backend systems, and contribute to exciting projects in a fast-paced, agile environment. If you're a motivated developer with a sharp eye for detail and a passion for problem-solving, this is your opportunity to make a real impact.

📍Location: USA Only
📌Job Type: Contractor, Full-time


💼 Responsibilities:

- Design, develop, and maintain backend services and RESTful APIs using Python (Flask or FastAPI)
- Write clean, maintainable, and scalable code following best practices (PEP8)
- Work with SQL databases (PostgreSQL preferred) to design, query, and manage data
- Develop unit and integration tests with tools like Pytest
- Document APIs using tools such as Swagger or Insomnia
- Collaborate with the team via Git (GitHub/GitLab/Bitbucket) and participate in code reviews
- Support CI/CD pipeline setup (e.g., Jenkins, GitLab CI)
- Debug and troubleshoot backend systems
- Integrate and utilize Large Language Models (LLMs) for enhanced application capabilities
- Communicate clearly and effectively in English (both written and spoken)


✅ Requirements:

- 2–3 years of hands-on experience in Python development
- Strong knowledge of Python fundamentals
- Practical experience with Flask or FastAPI
- Experience working with SQL databases
- Experience or interest in integrating LLMs into backend systems
- Familiarity with Docker
- Basic understanding of Git or other version control systems
- Exposure to unit testing, API testing, and tools like PyLint or Flake8
- Ability to work in Linux and/or Windows environments
- C1 or higher level of English
- A growth mindset and proactive attitude



Nice to Have

Experience with CI/CD pipelines (e.g., Jenkins, GitLab)
Familiarity with tools like Jira or Crucible
Exposure to cloud platforms or Kubernetes


🍀What We Offer:

- Top Equipment: MacBook Pro + Dell Monitor
- Flexible Schedule: Balance your life with adaptable working hours
- Meaningful Projects: Work with real-world technologies that make a difference
- Professional Growth: Long-term opportunities and support for your development
- Competitive Compensation: Based on your skills and contribution

Ready to level up your Python skills and work with a supportive, forward-thinking team?
Apply now and let's build something great together!

Remote  |  EU Time Zone (CET ±4 hours)  |  Full-Time

Competitive salary based on experience  |  Equity options available

About Amplifier AI

We’re building the next generation of surgical planning software for interventional radiology and cardiothoracic surgery. Our platform turns CT scans into interactive 3D models that help surgeons plan complex procedures—from endovascular aortic repair (EVAR) to transcatheter aortic valve implantation (TAVI) and beyond.

Our core library powers 17+ clinical analysis pipelines that perform automated anatomical segmentation, vessel centerline extraction, hemodynamic measurements, and risk stratification. Every algorithm we ship has a direct impact on patient outcomes.

We’re a small, focused team where your code goes from PR to operating-room screen in weeks, not quarters. If you want to work on technically challenging problems that genuinely matter, keep reading.

What You’ll Work On

This isn’t a generic backend role. Here’s what a typical month might look like:

• Extending our NNUnet-based segmentation pipelines (we run 15+ trained models across organs, vessels, bones, and tumors) and validating results against clinical ground truth

• Building automated measurement workflows—think aortic neck angulation, iliac tortuosity indices, or landing-zone diameter calculations that feed directly into surgical reports

• Developing new workspace modules: designing the data flow from raw DICOM volumes through preprocessing, AI inference, post-processing, and 3D scene generation

• Optimizing inference performance for GPU and CPU execution, including memory-aware scheduling and adaptive resolution strategies

• Working with SimpleITK, NumPy, and our in-house volume processing library to manipulate medical images at the voxel level—resampling, label morphology, island filtering, ROI extraction

• Collaborating directly with radiologists and surgeons to translate clinical requirements into algorithmic specifications

Our Tech Stack

• Language: Python 3.12+ (modern typing, dataclasses, async patterns)

• Medical Imaging: SimpleITK, NIfTI volumes, DICOM processing

• AI/ML: NNUnet framework, PyTorch, custom inference pipelines

• Infrastructure: Docker, NVIDIA GPU compute, CI/CD with automated testing

• 3D Visualization: Unity integration (you won’t write C#, but your Python outputs drive the 3D viewer)

• Tools: Git, Jira, Confluence, VS Code / PyCharm

What We’re Looking For

Must-haves:

• Strong Python fundamentals: you write clean, typed, well-structured code and understand performance trade-offs

• Experience with NumPy/SciPy for numerical computing—you’re comfortable thinking in arrays and transforms

• Familiarity with medical imaging concepts (DICOM, NIfTI, voxel spaces, coordinate systems) or strong willingness to learn quickly

• Understanding of machine learning inference pipelines, even if you’re not training models from scratch

• Ability to work independently in a remote-first environment with 4+ hours of overlap with CET business hours

Nice-to-haves:

• Experience with SimpleITK or ITK for image registration, segmentation, or morphological operations

• Background in NNUnet or similar medical segmentation frameworks

• Knowledge of 3D geometry: meshes, centerline extraction, spatial transforms

• Contributions to open-source scientific Python projects

• Domain experience in radiology, surgical planning, or health-tech

A Few Things to Know

To set expectations clearly, here’s what this role involves:

• The codebase is scientifically dense—you’ll work with Hounsfield units, anatomical coordinate systems, and clinical measurement standards. Curiosity about the domain is essential.

• We’re a startup. Processes are evolving, requirements shift, and you’ll sometimes need to figure things out from first principles rather than following established playbooks.

• This is primarily a backend/algorithmic role. If you’re looking for frontend or web development work, this isn’t the right fit.

• We care deeply about code quality—type hints, meaningful tests, clear documentation. We review each other’s work carefully.

Why Join Us

• Direct clinical impact: your code helps surgeons plan life-saving procedures more accurately

• Technically deep work at the intersection of AI, medical imaging, and 3D visualization

• Small team, big ownership: you’ll shape architecture decisions and see your ideas go to production

• Flexible remote setup with asynchronous communication and minimal meetings

• Competitive compensation with equity participation

How to Apply

Send us your CV along with a short note covering:

1. A brief description of the most technically challenging Python project you’ve worked on—what made it hard, and how you solved it.

2. Your experience (if any) with medical imaging, numerical computing, or ML inference—even if it’s from a different domain.

3. Your availability and time zone.

No cover letter template needed—just be direct. We review every application personally.

Project Description:

By applying for this position, you may join one of the most respected and rapidly growing institutional investors globally. Our client is a professional investment management organization that manages funds to ensure long-term sustainability. The company invests across all major asset classes, including public equity, private equity, real estate, infrastructure, and fixed-income instruments, with offices in Toronto, London, Hong Kong, New York, São Paulo, Luxembourg, and Mumbai.

The client attracts and selects high-caliber individuals from top-tier institutions worldwide. Joining the team offers the opportunity to work with diverse and inspiring colleagues and approachable leaders, engage in stimulating work within a fast-paced and intellectually challenging environment, and gain accelerated exposure and responsibility. There are also global career development opportunities and the motivation of contributing to an important social purpose grounded in strong principles. The organization maintains a deeply rooted culture centered on integrity, partnership, and high performance.

If you are passionate about performance, value a collegial and collaborative culture, and uphold the highest standards of integrity, this opportunity may be right for you.

Responsibilities:

The Technical Lead will oversee the technical strategy and execution of fintech projects, managing a distributed team of Python developers and ensuring seamless delivery on AWS infrastructure. This role merges technical leadership, people management, and client communication, requiring a proactive and empathetic approach to both technology and team development.
Key Responsibilities
• Lead and coordinate a remote development team across multiple time zones to deliver high-quality fintech software solutions.
• Oversee project architecture, development, deployment, and performance optimization using Python and AWS.
• Ensure robust, scalable, and secure system design aligned with fintech industry standards and compliance requirements.
• Build and maintain strong client relationships, providing regular progress updates and strategic technical insights.
• Conduct regular performance reviews, one-on-one check-ins, and mood monitoring to foster engagement and well-being within the team.
• Mentor engineers, support professional growth, and encourage knowledge sharing across teams.
• Manage project timelines, risks, and dependencies in accordance with agile principles.
• Identify and drive improvements in development processes, collaboration practices, and product quality.
• Collaborate with product managers and business stakeholders to align technical solutions with strategic goals.

Mandatory Skills Description:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 8+ years of experience in software engineering with at least 2 years in a technical leadership role.
• Proven expertise in Python development (Django, FastAPI, Flask, or equivalent).
• Solid experience with AWS (ECS, Lambda, S3, CloudFormation, RDS or similar services).
• Previous experience leading distributed or cross-cultural engineering teams.
• Strong communication skills and ability to manage relationships with both internal and external stakeholders.
• Demonstrated success delivering fintech systems (e.g., payment gateways, banking APIs, compliance tools).
• Deep understanding of Agile/Scrum methodologies.
• Fluent in English (written and spoken).

Nice-to-Have Skills Description:

• Knowledge of financial regulations (PSD2, AML/KYC, PCI DSS).
• Experience with CI/CD pipelines, automated testing, and DevOps practices.
• Experience with data security, encryption, and financial-grade API design.
• Passion for innovation, continuous improvement, and building high-performing teams

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

About the role:
We are looking for a Full-Stack AI Platform Engineer to join our team and help build, maintain, and scale AI-powered interactive products (A platform-centric role with a heavy focus on operations and DevOps.)
This is a hands-on role for an engineer who owns deployment, infrastructure, real-time systems, and AI-service integration end to end. You will work on production systems that combine web applications, real-time communication, Kubernetes-based backend services, and GPU-hosted AI pipelines.
The core of this role is production reliability and deployment ownership — keeping live systems stable, responding to incidents, and integrating AI models into scalable real-time infrastructure. Frontend work exists but is secondary: the team has a designer and uses AI-assisted tooling for UI iteration.

Responsibilities:
- Own deployment, environment management, and release workflows across Kubernetes-based, Railway-hosted, and other cloud infrastructure.
- Respond to production incidents, perform rollbacks, and restore service stability, including outside business hours.
- Deploy and operate AI inference services on GPU platforms such as Modal or RunPod and integrate them into real-time product flows.
- Build and maintain real-time communication and async processing flows, including LiveKit-based session infrastructure.
- Work with TypeScript / JavaScript and Python application code in production environments.
- Support database-backed product features, schema evolution, and migration workflows.
- Improve observability, logging, monitoring, and incident debugging workflows.
- Contribute to frontend and backend product functionality as needed, using AI-assisted tooling where appropriate.
- Maintain clear and up-to-date documentation for every product, service, and integration, including architecture diagrams, API contracts, deployment procedures, and environment configuration.
- Ensure every new feature is discussed, scoped, and agreed upon before implementation begins. No undocumented or uncoordinated changes to production systems.
- Collaborate with engineering and product stakeholders to clarify requirements, identify risks, and ship practical solutions.

Required skills:
- Strong hands-on experience with TypeScript (Node.js) and Python for production backend development.
- Solid experience with Kubernetes, Helm, and container-based deployment workflows.
- Experience with real-time systems: WebSocket-based communication, session lifecycle management, and event-driven flows.
- Experience deploying and operating AI inference services on GPU platforms such as Modal, RunPod, Replicate, or similar.
- Experience integrating LLM-based services, voice AI APIs, or media-processing pipelines into production systems.
- Experience debugging distributed or multi-service systems, including reading logs across multiple services and environments.
- Comfort with production ownership: incident response, rollbacks, and on-call responsibility.
- Solid understanding of backend APIs, service integration, and system design.
- Experience with PostgreSQL and ORM-backed schema management and migrations.
- Sufficient frontend experience to ship and deploy UI changes with AI-assisted tooling.
- Ability to work independently and bring structure to ambiguous technical situations.
- Strong written and verbal English communication skills.
- Experience using AI-assisted coding tools (e.g., Cursor, GitHub Copilot, Gemini) for faster development and iteration

Nice to have:
- Hands-on experience with real-time audio/video systems such as LiveKit or similar platforms.
- Experience with avatar, video rendering, or real-time media processing pipelines.
- Experience with frameworks and tooling such as TanStack Start, Nitro, or Vite.
- Familiarity with vector databases or embedding-based retrieval (pgvector or similar).
- Familiarity with Python ML stacks such as PyTorch or CUDA-based GPU inference.
- Experience with voice AI pipelines involving services such as ElevenLabs or Deepgram.
- Experience with CI/CD pipelines such as Jenkins, GitHub Actions, or similar.
- Experience with Next.js and Nx monorepo environments.
- Experience with GraphQL / Apollo or similar API integration patterns.

What we value:
- Strong ownership and reliability, especially in production.
- Pragmatic engineering judgment: shipping something stable beats over-engineering.
- Comfort with production responsibility and debugging under pressure.
- Ability to move across backend, infrastructure, and frontend without losing clarity.
- Clear communication, honest estimation, and practical execution.
- Documentation discipline: if it is not written down, it does not exist.

What we offer:
- Real impact: your content will directly attract new clients.
- Mentorship and growth.
- Freedom to experiment and test new formats.
- Flexible schedule and a remote-first culture.

We are looking for a skilled Python Developer to join one of our projects on a full-time basis.

About the project: The client is from Norway. They are working on developing a product for the maritime industry. The product focuses on energy analysis for different sea transport (for example, fuel usage, greenhouse gas emissions, etc.).

Responsibilities:

• Design and develop new features in line with the product roadmap and detailed requirements.
• Write clean, efficient, and maintainable code, following best practices and coding standards.
• Maintain and evolve existing systems, including troubleshooting issues and modernizing technologies and architecture.
• Ensure the application meets performance, scalability, security, and reliability requirements.
• Conduct code reviews and contribute to the continuous improvement of development processes and code quality.
• Participate in architectural discussions, influence technical direction, and take ownership of tasks and deliverables.

Requirements:

• 5+ years of commercial experience as a Python Developer.
• Upper-Intermediate (B2) or higher level of English.
• Strong proficiency in Python.
• Experience with frameworks: Django, FastAPI, or others.
• Experience with database systems like PostgreSQL and MySQL.
• Hands-on experience with queue & message broker platforms like Kafka/RabbitMQ.
• Hands-on experience with CI/CD.
• Experience in container-based architecture and deployments (Docker, Kubernetes).
• Experience in writing unit tests, functional tests, and integration tests.
• Proficient in working with the version control system Git.
• Hands-on experience with AI coding tools.

Job details:

• Full-time.
• Fully remote.
• Long-term.
• B2B contract.
• Start date — April/beginning of May.

We are hiring a Full Stack & Python AI Engineer for an international product company operating globally in the consumer and manufacturing domain. The company is building internal digital platforms focused on automation, data-driven decision-making, and AI-powered workflows used across multiple business units.

The role is part of a long-term initiative to develop and evolve core internal systems that combine modern web applications, real-time communication, and LLM-based features.

You will work across the full stack, owning features end to end, from Angular frontend components to Python backend services and AI integrations.

Responsibilities

• Develop full stack features using Angular 18+ and Python

• Build backend services with Quart (async Flask-style framework)

• Design and maintain REST APIs and WebSocket-based real-time functionality

• Implement AI-driven features using LLMs, embeddings, and RAG pipelines

• Work with vector databases (Qdrant or similar) and MongoDB

• Use Docker for development and deployment workflows

• Improve existing systems, focusing on performance, scalability, and architecture

• Collaborate with engineers and stakeholders on system design and long-term evolution

Requirements

• 7+ years of overall experience as a full stack or backend-focused engineer

• Strong hands-on experience with Python, including Flask or Quart

• Production experience with Angular (project uses Angular 18+)

• Experience building Web APIs and real-time systems

• Hands-on experience with LLMs, embeddings, and text-based AI use cases

• Experience working with MongoDB and SQL databases

• Practical experience with Docker

• Ability to work independently and take ownership of complex systems

• Professional English level

Nice to Have

• Experience with Azure

• Familiarity with LangChain or LangGraph

• Background in enterprise or manufacturing-related systems

• Experience with Django

Broadband team works on 2nd generations of Harmonic (NASDAQ:HLIT) Cable Access products: actively developing the industry’s first software-based CCAP solution (“Cable OS”) and cloud native CMTS.

These solutions allow to cable operator companies to deliver the IP-based data, video, and voice services to millions of customers. Focus is given to CableOS which will allow to get rid of the existing HW equipment and to migrate to the cloud, saving customers the enormous expenses for the support of HW network equipment.

The system is based on microservice architecture and is running on the general purpose CPUs. It doesn’t require using ASICs and make possible to run the SW both on the bare metal servers as well as on the private cloud infostructure. CableOS is a pioneer in DOCSIS software defined networking (SDN) with all the benefits it gives to the service providers.

GlobalLogic team is involved in development, manual and automated testing, as well as in solution integration at customers’ headend and further technical support 24/7 with providing professional services for Customers

Requirements:

• 0+ years of experience
• Knowledge of Python programming
• Understanding of OOP principles
• Understanding and knowledge of computer networks and L2/L3 networking protocols
• Basic hands-on experience with Linux command-line
• Intermediate level of English
• High level of interpersonal skills. Ability to communicate effectively with different groups

Would be a plus:

• Experience in manual/auto software testing
• Experience in Linux/Network administration
• Experience with tools: TestRail, Jenkins, Jira, Git, BitBucket, WireShark
• Experience with PyTest framework
• Experience with Kubernetes, Docker
• Knowledge of SQL, Elasticsearch

Job responsibilities:

• Active collaboration with mentor
• Deep involvement in the commercial project workflow and practical tasks
• Design, implementation and maintenance of automation tests according to given requirements
• Develop in the existing automation infrastructure based on Python for complex embedded system
• Cooperate with SW, manual QA and other stakeholders from different countries