Jobs Python

Domain: Banking & Finance
Experience: 5+ years
Project Duration: August, 2026 – November, 2026(to be extended)
Format: Hybrid
Location: Kraków, Poland

About the Project

We are looking for a Python Developer with AI expertise to join a team of engineers building strategic AI and machine learning solutions that are transforming the Credit and Lending industry.

Working in a dynamic, innovative, and well-established environment, the selected specialist will collaborate closely with business stakeholders to deliver impactful, production-grade AI solutions.

This role is a great fit for an engineer who enjoys leading technical initiatives and applying modern AI technologies to solve complex business challenges.

Responsibilities

• Design, develop, and maintain clean, scalable, and well-tested software solutions
• Lead the architecture and implementation of AI/ML systems, ensuring reliability, scalability, and alignment with long-term platform goals
• Take ownership of major AI initiatives from solution design through deployment and operationalization
• Support and mentor other engineers, promoting engineering excellence, collaboration, and continuous learning
• Help define and promote engineering standards, AI governance practices, and responsible AI principles across the organization
• Contribute to the technical roadmap by researching, evaluating, and prototyping emerging technologies, including advanced RAG approaches, LLM optimization techniques, and agent-based systems
• Collaborate with cross-functional stakeholders to translate business needs into effective technical solutions and clearly communicate complex concepts
• Build advanced AI-powered applications using Retrieval-Augmented Generation (RAG), vector databases, and large-scale financial datasets

Requirements

• 5+ years of strong commercial experience with Python
• At least 6–12 months of hands-on experience within the broader AI/ML ecosystem
• Practical experience with relational databases such as PostgreSQL, vector databases, key-value stores such as Redis, and Pub/Sub messaging systems
• Deep understanding of microservices architecture, API design, observability, and concurrent/distributed systems
• Ability to make and drive architectural decisions in complex technical environments
• Strong knowledge of modern LLM architectures and hands-on experience adapting and fine-tuning models for domain-specific use cases
• Practical expertise in Retrieval-Augmented Generation (RAG), prompt engineering, and related generative AI techniques

Nice to Have

• Exposure to Java, particularly for integration and middleware-related tasks

Tech Stack

• Python
• AI / Machine Learning
• PostgreSQL
• Redis
• Microservices
• APIs
• LLMs
• RAG

Location

• Hybrid from Kraków, Poland
• Important: the client requires office visits in Kraków 8 days per month

We’re looking for a Senior Engineer who thrives on unfamiliar problems — someone who can land in a customer’s environment, reverse-engineer poorly-documented vendor APIs, and ship a working integration end-to-end, solo.

What makes you a great fit:

• 5+ years of professional software development experience, including 3+ years of hands-on experience in Python.
• Proven track record in designing and building integrations against third-party REST APIs.
• Comfortable working in unfamiliar codebases and picking up new stacks as engagements demand.
• Upper-intermediate written and spoken English.
• Self-managed in an async remote setting — strong ownership, communication, and time management.
• Curiosity and dive-deep mentality — comfortable when documentation is incomplete or absent.

• AI-as-tool fluency — productive use of Claude code, Copilot, Cursor, or similar for research and implementation.

   

Will be a plus:

• Prior customer-facing engineering experience (joining technical calls, gathering requirements).
• Familiarity with security products (SIEM, EDR, vulnerability management, threat intel, firewalls, etc.).

• Experience working in or alongside a SOC.

   

Why work with us?

• People-first management with minimal bureaucracy
• A friendly company culture, proven by employees who choose to return
• Flexible working hours
• 29 days of PTO (18 working days per year, plus all national holidays)
• 10 paid recovery days
• Full financial and legal support for independent contractors
• Free English classes, with native speakers or Ukrainian teachers

• Dedicated HR support

   

Your day-to-day in this position:

• Design and build bespoke integrations between our products and customer-specific security stacks — primarily in Python, occasionally in whichever stack the engagement demands.
• Tackle the hardest integration problems: the non-conventional, “out-of-the-books” engagements that standard product connectors can’t cover.
• Own each engagement end-to-end — discovery and technical scoping through implementation, testing, and handover.
• Join customer technical calls alongside PM/CSM to sharpen requirements; drive written follow-up between sessions.
• Reverse-engineer poorly-documented vendor APIs and build robust integrations against them.

• Capture learnings from each engagement and feed them back to the product and integration teams so the next engagement is easier.

   

What is your new project?

• Domain: Computer and network security
• Location: Israel
• Company size: 51-200 employees
• Founded in: 2009
  
  Our next steps:

✅ Intro call with a Recruiter — ✅ Tech livecoding interview — ✅ Tech theoretical + system design interview — ✅ Managerial interview — ✅ HR client interview — ✅ Reference check — ✅ Offer

We are looking for an experienced Python Web Scraping Engineer to build and maintain scalable data extraction systems. You will develop robust web scrapers, automate data collection workflows, and help create market intelligence solutions by aggregating and analyzing large volumes of web data.

Responsibilities

• Design, develop, and maintain web scraping solutions using Python.
• Extract, process, and validate data from multiple web sources.
• Handle website protection mechanisms and ensure scraper reliability.
• Integrate and manage residential proxy solutions.
• Build automated data pipelines and load data into BigQuery.
• Deploy and monitor scraping services using Google Cloud Run.
• Optimize scraper performance, scalability, and data quality.
• Collaborate with stakeholders to define data collection requirements.

Requirements

• 4+ years of commercial experience with Python.
• Proven experience building and maintaining web scrapers.
• Strong understanding of HTTP, HTML, CSS Selectors, XPath, and web technologies.
• Experience with scraping frameworks and tools such as Scrapy, Playwright, Selenium, BeautifulSoup, or similar.
• Experience working with proxy networks and IP rotation.
• Solid SQL skills and experience with BigQuery or other data warehouses.
• Experience with cloud platforms, preferably Google Cloud Platform (GCP).
• Ability to troubleshoot, optimize, and maintain large-scale scraping operations.
• Intermediate or higher English level.

Nice to Have

• Experience with Scrapling.
• Experience deploying applications with Google Cloud Run.
• Docker and containerization experience.
• Experience building ETL/data pipeline solutions.
• Familiarity with data analytics and market intelligence projects.

What We Offer

• Competitive compensation.
• Fully remote work environment.
• Flexible working hours.
• Opportunity to work on large-scale data collection and analytics projects.
• Direct impact on technical decisions and system architecture.

We are an innovative company in the digital entertainment space (short drama series), specializing in next-generation short-form video content. Having already achieved millions of downloads, we are rapidly gaining traction in the global market.

We are cracking the formula for the next dominant entertainment format — mobile-first micro-series. In a market already generating over 2.3B downloads, the company broke into the US Top 10 highest-grossing apps in under a year (while still in stealth mode), by combining Hollywood-grade production with an AI-driven engine that continuously optimizes storytelling for retention, engagement, and monetization.

We are a startup that has already raised millions in funding.

 

We are looking for an experienced AI Engineer to support the development and deployment of AI and machine learning solutions on Google Cloud Platform.

The role will involve working on enterprise and public sector projects, including RAG-based chatbots, semantic search systems, forecasting models, and other AI-powered applications.

Responsibilities

• Build and deploy end-to-end AI and ML solutions on GCP
• Develop applications using Python, LangChain, Vertex AI, and BigQuery
• Implement RAG pipelines, semantic search, and document retrieval solutions
• Develop forecasting and predictive models
• Integrate LLMs, embeddings, vector databases, and cloud services
• Build scalable APIs and production-ready AI services
• Optimize solutions for performance, reliability, and cost
• Collaborate with technical and business stakeholders
• Prepare technical documentation and solution architecture materials

Requirements

• Strong Python skills
• Hands-on experience with GCP
• Practical experience with Vertex AI and BigQuery
• Experience with LangChain or similar frameworks
• Experience building RAG-based applications
• Knowledge of LLMs, embeddings, semantic search, and vector databases
• Experience deploying AI or ML solutions into production
• Good understanding of APIs, cloud architecture, and data pipelines
• English at Upper-Intermediate level or higher

Nice to Have

• Experience with public sector or enterprise clients
• Experience with Gemini, Document AI, or Google Cloud AI Search
• Experience with time-series forecasting
• Knowledge of MLOps, Docker, Kubernetes, and CI/CD
• Google Cloud certifications

Project Context

The client is a public sector organization in Saudi Arabia with several internal AI initiatives. At the current stage, we are looking for specialists who can demonstrate relevant experience with AI solutions built on GCP.

socket.agency is an AI software agency. We design and ship AI-powered products using FastAPI/Django services, Postgres, React.js/Next.js, event-driven systems, LLM integrations, and automation. Small team, high ownership, real engineering culture.

What you'll do:

— Design and build backend services end-to-end (API design, database schema, background processing, third-party integrations) and own them from first commit to production.

— Work across microservices and event-driven flows: async workers, webhooks, retries/idempotency, message queues.

— Integrate LLMs (OpenAI / Anthropic APIs) and build AI-powered features and automation.

— Ship with Docker + CI/CD; keep reliability, testing, and clean service boundaries first-class.

— Work directly with the founder on technical direction — your decisions carry weight.

Our stack:

Python (async/asyncio), FastAPI, Django/DRF, PostgreSQL, SQLAlchemy, Celery/RabbitMQ, Redis, Docker, CI/CD.

You'll fit if you:

— Have 5+ years of production Python and have owned backends solo.

— Think in terms of reliability, idempotency, and maintainable architecture, not just making it work.

— Are comfortable with ambiguity and moving fast without breaking production.

Senior Python Developer для AI-агентів, LLM systems та agentic workflows.

🚀 Про Workeron.ai

Workeron.ai — AI startup, який створює AI агентів та digital employees для автоматизації реальних бізнес-процесів.

Ми не робимо черговий wrapper над ChatGPT.

Наша ціль — створювати AI-системи, які можуть виконувати реальні задачі всередині компаній та забирати рутину з команд.

Ми працюємо в режимі швидкої перевірки гіпотез:

24 ideas → 6 strong products → 1 scalable winner

Ми цінуємо:

• швидкість
• execution
• ownership

• product thinking

   

⚙️ Engineering Approach

Усі продукти розробляються у shared monorepo на базі:

• uv workspaces

• Turborepo

   

Наш підхід:

• modular monolith
• reusable components
• strict module boundaries
• можливість швидко перейти до microservices після PMF

Наша задача — рухатись швидко без технічного хаосу.

🌍 Формат роботи

• Fully remote
• International AI-focused environment

• Пряма співпраця з founders та Product Owners

   

💰 Compensation

• $4,000–6,000/month

   

💡 Про роль

Шукаємо сильного Senior Python Developer з реальним hands-on досвідом роботи з AI/LLM продуктами та agentic systems.

Ви будете працювати над AI агентами, multi-agent workflows, orchestration systems та швидкою розробкою MVP → production systems.

Ця роль підійде людині, якій подобається:

• швидко будувати продукти
• працювати з неоднозначними задачами
• поєднувати backend engineering та applied AI

• мати прямий вплив на продукт

   

🛠 Що потрібно буде робити

• Розробляти AI агентів та multi-agent workflows
• Будувати agent graphs з використанням LangGraph
• Створювати MVP та production-ready AI systems
• Інтегрувати LLM APIs, external tools та vector databases
• Проєктувати backend architecture на FastAPI + PostgreSQL
• Працювати з async workflows та orchestration systems
• Покращувати reliability та scalability AI systems

• Швидко перетворювати product ideas у working systems

   

✅ Requirements

• Strong Senior-level Python/backend experience
• Відмінне знання FastAPI та PostgreSQL
• Досвід створення AI/LLM продуктів
• Hands-on experience з LangGraph та agentic systems
• Розуміння modular architecture
• Вміння рухатись швидко без overengineering
• Високий рівень ownership

• English — Upper-Intermediate або вище

   

➕ Nice to Have

• React / Next.js
• Temporal
• Qdrant або pgvector
• LiteLLM, Traceloop, Ragas
• Product thinking

• Startup experience

   

🧰 Stack

Python · FastAPI · PostgreSQL · LangGraph · LLM APIs · Qdrant · pgvector · Docker · Turborepo · uv · Temporal

💎 Ми пропонуємо

• Fully remote
• Мінімум бюрократії
• Швидкий процес прийняття рішень
• Сильну AI-focused engineering environment
• Прямий вплив на продукт та архітектуру

• Можливість будувати AI systems від MVP до scale

   

📩 Як податись

Надсилайте:

• Актуальне CV англійською
• Ваш AI / LLM / LangGraph experience
• Telegram link

CodeTiburon is looking for a Founding AI Platform Architect (Python & Kubernetes) to become one of the first key engineers building a next-generation AI platform together with one of our long-term product partners.
 

Greenfield Product • Founding Engineering Team • Python • Kubernetes • LLMs • AI Agents • Knowledge Graphs • AWS
 

This is a rare opportunity to shape the technical foundation of a greenfield AI product from its earliest stages and have a lasting impact on its architecture, scalability, and evolution.
 

The Project
 

We're building a next-generation AI platform that combines LLMs, AI agents, knowledge graphs, and vector search to create reliable, production-grade AI systems.
 

The platform powers intelligent assistants capable of solving complex business problems through advanced orchestration, retrieval, and structured reasoning. Behind the scenes, we're building the distributed infrastructure that enables model inference, AI workflows, knowledge graph integrations, evaluation pipelines, and multi-tenant SaaS capabilities.
 

As part of our long-term engineering partnership, you'll become a founding member of the engineering team responsible for designing and building this platform from the ground up.

The Role
 

This is a highly autonomous, hands-on architecture role where you'll combine backend engineering, cloud infrastructure, and AI platform design.
 

You'll architect the platform, build core backend services in Python, design and evolve the Kubernetes infrastructure, and transform cutting-edge AI research into reliable, scalable production systems.

Working directly with AI researchers, domain experts, and product stakeholders, you'll translate ambitious ideas into production-ready capabilities while shaping the long-term technical direction of the platform.
 

If you enjoy building systems from first principles, making architectural decisions, and taking full ownership of complex engineering challenges, you'll feel at home here.
 

Responsibilities
 

• Design and evolve the overall architecture of the AI platform.
• Build scalable backend services and APIs using Python.
• Design, deploy, and operate production workloads on Kubernetes.
• Architect data storage, retrieval, and messaging solutions.
• Build the infrastructure powering AI agents, LLM inference, RAG pipelines, and knowledge graph integrations.
• Design integrations with external SaaS platforms and enterprise systems.
• Establish engineering standards, architectural principles, and development best practices.
• Evaluate and introduce technologies that improve scalability, reliability, security, and developer productivity.
• Collaborate closely with AI researchers, domain experts, and product stakeholders to bring new capabilities into production.
• Troubleshoot complex production issues across application, infrastructure, and Kubernetes layers.
   

What You'll Own
 

• The overall architecture of the AI platform.
• Technology selection and key architectural decisions.
• Production infrastructure running on Kubernetes.
• Platform scalability, reliability, observability, and performance.
• The technical foundation for future AI capabilities.
   

Requirements
 

Must Have

• Extensive experience designing and building production-grade backend systems in Python.
• Strong hands-on expertise with Kubernetes, including deploying, scaling, operating, and troubleshooting production workloads.
• Proven experience designing distributed systems, microservices, and cloud-native architectures.
• Strong architectural thinking and the ability to make independent technical decisions across application design, infrastructure, data storage, and system integration.
• Solid experience with PostgreSQL and designing scalable data models.
• Experience designing and building scalable REST APIs and integrating external SaaS platforms and enterprise systems.
• Strong understanding of asynchronous and event-driven architectures using technologies such as RabbitMQ, Kafka, or similar.
• Experience building secure, observable, resilient, and maintainable production systems.
• Demonstrated ability to take technical ownership and deliver complex projects from concept to production with a high degree of autonomy.
• Strong communication skills and experience collaborating directly with product stakeholders, domain experts, and engineering teams.
• Professional English proficiency (C1 or higher).
   

Nice to Have

• Experience building AI platforms or LLM-powered applications.
• Experience with LangGraph, LangChain, CrewAI, or other AI agent orchestration frameworks.
• Experience designing and implementing RAG pipelines.
• Experience with vector databases and semantic search technologies such as pgvector, Milvus, or Weaviate.
• Experience integrating knowledge graphs into production systems.
• Familiarity with AI model serving and inference infrastructure.
• Experience with GitOps, ArgoCD, Helm, or Kubernetes Operators.
• Experience with AWS, Azure, or GCP.
• Experience building multi-tenant SaaS platforms.
• Contributions to open-source projects, technical publications, or conference talks.
   

This Role Is for You If...
 

• You enjoy building products from scratch rather than maintaining legacy systems.
• You naturally think in terms of architecture, scalability, and long-term maintainability.
• You prefer technical ownership over simply implementing backlog tasks.
• You're comfortable making architectural decisions in environments with evolving requirements.
• You enjoy collaborating directly with AI researchers, domain experts, and product leaders.
• You value clean architecture, pragmatic engineering, and continuous learning.
• You're excited by the opportunity to build the technical foundation of next-generation AI products.
   

This Role May Not Be the Right Fit If...
 

• You prefer working from detailed specifications rather than defining technical direction.
• You're looking primarily for feature implementation instead of architecture ownership.
• You prefer working exclusively on application code without infrastructure responsibilities.
• You aren't comfortable making independent technical decisions with a high degree of autonomy.
   

Why Join Us
 

• Build a greenfield AI platform from day one.
• Become one of the first engineers shaping the product and its architecture.
• Work at the intersection of AI, distributed systems, and cloud infrastructure.
• Collaborate directly with AI researchers and domain experts.
• Own major architectural decisions with real product impact.
• Solve technically challenging problems instead of implementing routine backlog tasks.
• Help define the engineering culture, standards, and long-term technical vision of the platform.
   

If this opportunity matches your experience and ambitions, we'd love to hear from you. Please send us your CV.
 

Every application is carefully reviewed. Candidates whose experience and background best match the role will be contacted regarding the next steps.

Description:
The project is an AI platform for marketing, it connects marketing professionals, data, tools and AI in a single place. It is the simplest, safest and fastest way to realize the benefits of scaled AI – delivering better-informed creative ideas faster, at scale and at lower cost.
We’re endlessly curious and our team of thinkers, builders, creators and problem solvers are over 2,000 strong, across 20 markets around the world.

We are seeking a talented and experienced Backend Engineer to join our engineering team. You will be instrumental in designing, developing, and maintaining the robust and scalable backend systems that power our cutting-edge marketing technologies, including the AI platform. If you have a passion for building high-performance APIs, working with large datasets, and contributing to the future of AdTech, we want to hear from you.

Requirements

• 4+ years of professional experience in backend software development.
• Strong proficiency in Python
• Extensive experience designing and building RESTful APIs.
• Solid understanding of database systems.
• Experience with cloud platforms GCP and developing cloud-native applications.
• Familiarity with containerization technologies (Docker).
• Knowledge of message queues/event streaming platforms (e.g., Kafka, RabbitMQ, SQS/SNS) is highly desirable.
• Experience with microservices architecture and distributed system design.
• Proficiency with version control systems, particularly Git.
• Strong problem-solving skills, analytical thinking, and attention to detail.
• Excellent communication and collaboration skills to work effectively within cross-functional teams.

Job responsibilities

• Design and Develop Robust Backend Systems
• Design, develop, and implement high-performance, scalable, and resilient backend services and APIs (REST, gRPC) that support our various data products and AI platforms.
• Write clean, maintainable, and efficient code in Python using best practices and appropriate design patterns.
• Collaborate with architects and senior engineers to define system architecture, data models, and integration strategies.
• Integrate with internal and external data sources, AI/ML services, and third-party APIs relevant to the AdTech ecosystem.
• Ensure Scalability, Reliability, and Performance
• Optimize existing backend services for maximum speed, scalability, and stability, handling large volumes of data and traffic inherent in the AdTech domain.
• Implement robust monitoring, logging, and alerting solutions to proactively identify and address system issues.
• Participate in performance tuning, troubleshooting, and debugging of complex backend systems.
• Contribute to the continuous improvement of our deployment processes, CI/CD pipelines, and cloud infrastructure interactions.
• Uphold Code Quality and Best Practices
• Conduct thorough code reviews, ensuring adherence to coding standards, security best practices, and architectural guidelines.
• Develop comprehensive unit, integration, and end-to-end tests to guarantee the quality and reliability of backend components.
• Contribute to technical documentation, including API specifications, architectural diagrams, and system runbooks.
• Actively participate in the agile development process, including sprint planning, daily stand-ups, and retrospectives.

About us

TeamCraft Roofing (TCR) is a commercial roofing contractor in the US - 300+ employees, projects in 30+ states, Fortune 500 clients. We are building the company's data and AI platform: AI agents in production over live business data, a document-processing service, a storm-response tool for the sales team, plus a data lakehouse and an in-house CRM currently being built.

About the role
You would join the platform team as its dedicated backend engineer, working directly with the core engineering team. The core of the role is the layer connecting our business systems, the data lakehouse, and the AI agents. It's a backend-first role - frontend is a small share of the work, but you shouldn't be blocked by it.

We build with AI coding agents as a normal part of the workflow, and we hold the quality bar anyway: agent-assisted or not, code ships reviewed, typed, and tested.

Responsibilities
- Build and maintain connectors for ERP, CRM, HR, and field-operations data. Not all of these systems have clean APIs - part of the job is making ingestion reliable anyway.
- Design and ship REST APIs (FastAPI) serving AI agents and internal applications
- Implement RAG pipelines for document-based assistants
- Build the service layer of our in-house CRM
- Contribute to the lakehouse build (medallion architecture on Azure)
- Occasionally build or modify an internal UI (Next.js) when the work calls for it

Tech stack
Python (FastAPI), SQLAlchemy, PostgreSQL (complex SQL, JSONB), Redis, OpenAI and Anthropic APIs, Next.js/TypeScript on the frontend, Docker, Azure, GitHub Actions. Claude Code in daily development.

Requirements
- 5+ years of Python backend development
- Strong SQLAlchemy; solid Pandas/NumPy for data processing
- Hands-on RAG or LLM-backend experience that real users touched
- You work with AI coding agents (Claude Code or similar) day to day - and you review what they produce before it ships
- Basic frontend ability: enough JavaScript/TypeScript to make changes in a Next.js/Vite app
- PostgreSQL performance tuning
- Pytest and type hints as a default working style - we hold an 80% coverage bar
- English B2+ for daily calls with the US team

Nice to have
- Azure ecosystem experience
- dbt
- OCR / document processing
- Construction or logistics domain experience

We offer
- 100% remote, long-term engagement
- Direct contract with the US company - no outstaffing, no agency in between
- Small team, short decision paths, real ownership of what you build

- hours overlap with US Eastern time
 

Hiring process
Intro call with the tech team -> technical interview, including a short live session driving Claude Code on a small task -> in some cases, a short paid test task -> offer

WebParsers is seeking a talented Python Developer specializing in web scraping to join our dynamic team. We offer a collaborative work environment, flexible scheduling, and opportunities for growth. We're open to considering final-year students with relevant commercial experience.
 

Required Skills:

• Minimum 1 year of commercial Python experience
• Proficiency in web scraping, data gathering, and data cleaning
• Web automation expertise
• Hands-on experience with BeautifulSoup, Selenium, and lxml
• Work with SQL and NoSQL databases
• Ability to deploy scrapers on servers
• High self-management skills
• Great communication skills
• Take responsibility for tasks and ensure they are completed independently
   

Core Responsibilities:

• Design and implement efficient web scraping and parsing solutions
• Work closely with project managers to address client needs
• Optimize applications to meet project requirements
• Proactively learn new technologies and improve existing workflows
   

Preferred Skills (Nice to Have):

• Experience with Nodriver
• JavaScript proficiency
• Familiarity with Mobile Application Scraping (Android, IOS)
• Familiarity with Pandas for data manipulation
• Experience with CAPTCHA-solving services like 2Captcha and AntiCaptcha
• AI prompting knowledge is a plus
   

If you're passionate about data extraction and looking for a challenging role in a supportive environment, we'd love to hear from you. Join WebParsers and help us push the boundaries of web scraping technology!

Department/Project Description

GlobalLogic is looking for a Software Engineer to join a dedicated team delivering a high-fidelity medical technology platform. This role is designed for a developer with a primary focus on backend services and cloud infrastructure, contributing to the development of a multi-region SaaS architecture. While your core strengths should lie in backend logic and cloud environments, you will also have the opportunity to support Vue.js frontend tasks as needed to ensure end-to-end feature delivery.

Job Description

• Professional Experience: 2–4 years of experience in software development.
• Backend Expertise: Solid foundation in Python development.
• Cloud Knowledge: Working experience with AWS services and an understanding of multi-region architectures.
• Frontend Awareness: Basic familiarity with Vue.js; willingness to learn and contribute to frontend tasks when necessary.
• Execution Focus: Proven ability to handle day-to-day implementation tasks and manage individual ticket assignments effectively.
• Regulated Industry: Familiarity with delivering software for regulated environments (e.g., medical devices or healthcare) is highly preferred.
• Communication: Effective verbal and written communication skills to collaborate within a distributed engineering team.

Job Responsibilities

• Backend Development: Implement and maintain scalable backend logic using Python-based services.
• Cloud Infrastructure: Support the development and optimization of services hosted within AWS environments.
• Full-Stack Flexibility: Contribute to Vue.js (2 & 3) frontend tasks when required to support the usability and tech debt workstreams.
• Backlog Execution: Own the day-to-day implementation of tasks within the project backlog, focusing on backend reliability and API performance.
• Performance & Observability: Assist in establishing performance baselines and improving service observability across the platform.
• Regulated Quality: Ensure all code contributions adhere to strict quality standards for regulated product delivery within the healthcare sector.
• Team Collaboration: Pair with senior engineers on complex tickets and participate in rotations to support infrastructure and platform work.

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

Our client is a global enterprise software company building an AI-powered SaaS documentation platform on Microsoft Azure. The project focuses on enhancing a production-grade platform by improving architecture, CI/CD, test automation, and scalability. We're looking for a hands-on Python Technical Lead who will initially drive technical delivery and later build and lead a small engineering team in Europe.

Responsibilities:

• Lead the technical delivery of a Python engineering team, combining hands-on development with technical leadership and mentoring.
• Design and drive the platform architecture, focusing on CI/CD, observability, scalability, reliability, and production readiness.
• Review code, establish engineering best practices, and maintain high code quality in an AI-assisted development environment.
• Build and evolve a comprehensive test automation strategy (unit, integration, and end-to-end testing) to ensure reliable software delivery.
• Contribute directly to backend development, CI/CD pipelines, and platform improvements using Python and Microsoft Azure.
• Coordinate sprint activities, resolve cross-team dependencies, and collaborate closely with distributed engineering teams across Europe, the US, and India.
• Support the growth of the European engineering team and help establish a self-managed Scrum team.
• Share expertise in GitLab, CI/CD, and engineering practices through mentoring and knowledge transfer.

Requirements:

• 6-7+ years of commercial experience with Python and hands-on backend development.
• Previous experience as a Technical Lead or Lead Python Engineer, including architecture design, code reviews, mentoring, and technical decision-making.
• Experience building or scaling self-managed engineering teams.
• Strong experience with CI/CD pipelines, preferably GitLab CI (GitHub Actions is a plus).
• Hands-on experience with Microsoft Azure, including services such as App Services, Azure Functions, Key Vault, and Storage.
• Solid understanding of Docker and containerized applications.
• Experience designing and implementing test automation strategies (unit, integration, and end-to-end testing).
• Experience with Azure Application Insights or similar observability and monitoring solutions.
• Excellent communication skills and Upper-Intermediate+ English for collaboration with international stakeholders.

Nice to have:

• Experience defining non-functional requirements (performance, scalability, reliability, security).
• Knowledge of security and compliance practices, including release governance, vulnerability scanning, and dependency management.
• Experience working in enterprise environments with SSO, proxies, and compliance requirements.
• Understanding of Infrastructure-as-Code (IaC) concepts (Terraform or Bicep is a plus).
• Experience with monorepo architecture and tooling.
• Knowledge of multi-region cloud deployments.
• Experience with RAG-based applications, Azure AI Search, or AI indexing pipelines.
• Experience with React or frontend CI/CD.
• Experience leading teams working in AI-assisted development environments.

We’re looking for a Senior Backend Engineer to join a long-term remote role with one of our US-based clients in the hospitality / hotel tech space.

This is not a pure maintenance role. The team is actively evolving the architecture, improving the product, and building scalable solutions for a growing platform.

The ideal candidate is someone who is strong in Python, comfortable working with TypeScript, and able to make solid technical decisions independently.

Main requirements

• 5+ years of professional experience with Python — Django or FastAPI.
• Strong experience with TypeScript.
• Experience working with Google Cloud Platform — GCP.
• Advanced English level — C1.

• Experience with hotel / hospitality management systems is a strong plus.

   

Technical background we’re looking for

Strong understanding of Object-Oriented Programming, including encapsulation, inheritance, polymorphism, abstraction, SOLID principles, design patterns, dependency injection, and inversion of control.

Experience with software architecture concepts, including MVC / MVVM, RESTful API design, microservices vs monolithic architecture, separation of concerns, modular code organization, and Domain-Driven Design basics.

Good knowledge of data structures and algorithms, including arrays, hash tables, trees, graphs, sorting and searching algorithms, Big O notation, and efficient problem-solving.

Strong focus on code quality and best practices, including Clean Code, DRY, KISS, refactoring, code reviews, documentation, and maintainable development practices.

Experience with performance and optimization, including application performance, database query optimization, caching strategies, profiling and debugging tools, and memory management.

Understanding of security best practices, including OWASP Top 10, authentication and authorization, data validation and sanitization, SQL injection, XSS and CSRF prevention, secure data storage, encryption, and API security.

Solid experience with Git and development workflows, including branching, merging, rebasing, conflict resolution, Gitflow or trunk-based development, pull requests, code reviews, and semantic versioning.

Soft skills

• Ability to work independently and make technical decisions.
• Strong analytical and problem-solving skills.
• Self-motivated and proactive mindset.
• High attention to detail and code quality.
• Good time management and prioritization.
• Continuous learning mindset.

• Strong communication skills in English.

   

Nice to have

• AWS services such as S3 or CloudWatch.
• Oracle Hospitality or similar PMS integration experience.
• Previous experience in hospitality / hotel tech.

Work schedule

The schedule is aligned with Hawaii — HST and Pacific — PST time zones.

Work conditions

• Remote, full-time role.
• Diverse and challenging projects.
• Supportive and collaborative team.
• 12 vacation days per year.
• 5 sick days per year.
• English classes.
• Therapist and psychologist support for mental well-being.

About the project
Our client is a global enterprise software company building an AI-powered, RAG-based documentation platform delivered as production-grade SaaS. The platform is a set of ~10 containerized microservices — predominantly Python, with React front-ends — running fully on Microsoft Azure (App Services, Functions, Data Factory, AI Search, Blob Storage, Key Vault).

The team is hardening the platform for production: standardizing CI/CD, consolidating repositories into a single monorepo, introducing observability and a structured test-automation framework, and preparing for multi-region rollout (US, Europe, Asia). Development is heavily AI-assisted — currently 15–20 merge requests per week — so disciplined review and strong test automation are central to keeping quality and velocity in balance.

The client's existing team spans the US and India. This role is intended to anchor delivery from an overlapping European time zone: starting as a hands-on technical lead and growing into a self-managed scrum team of 3–4 engineers over the following one to two quarters, with the client's lead moving toward a product-owner / vision role.
 

What you'll do

• Act as technical lead for an embedded engineering team, starting hands-on and growing it from ~2 to 3–4 engineers toward a self-managed scrum team
• Own technical design and architecture decisions across CI/CD, observability, and platform hardening
• Lead code reviews and raise the quality bar — particularly important given AI-assisted development is generating 15–20 merge requests per week
• Introduce and enforce a pyramid-based test-automation / QA framework (unit → integration → E2E) that makes high merge-request throughput safe and sustainable
• Define and drive non-functional requirements — performance, reliability, scalability — across all services
• Run and support sprint ceremonies, coordinate cross-team dependencies, and act as the delivery anchor so the client's lead can focus on vision, acceptance, and dependency management
• Provide CI/CD and GitLab knowledge transfer to adjacent teams that have skill gaps in pipeline work
• Stay hands-on — write Python, build pipelines, and contribute to the test framework directly (this is a working technical lead, not a pure people-manager)
  
   

Must-have skills

• Senior-level Python — the platform is ~98% Python
• Proven technical leadership of small, distributed teams: design ownership, code review, mentoring, and sprint ceremony facilitation
• Strong CI/CD experience — GitLab CI required; GitHub Actions a strong plus (a migration to GitHub Enterprise is in progress)
• Hands-on Azure experience (App Services, Functions, Key Vault, Storage)
• Test-automation strategy and QA framework design (pyramid model)
• Docker / containers and working knowledge of Infrastructure-as-Code principles (Terraform or Bicep)
• Azure observability with Application Insights
• Strong English and stakeholder communication — comfortable operating across US, European, and Indian time zones

About Octocrew

Octocrew builds and runs managed AI coworker crews — small teams of specialist AI agents that work inside a company's existing tools and help human teams execute recurring operational and marketing workflows. We are expanding our contractor pool with practical engineers who can implement, integrate, tune, and support client AI agent workflows.

The role in one line

You take an approved requirements spec and turn it into a working agent system that fits the client's tools, data, permissions, and approval process. This is not a prompt-only role and not pure DevOps; it sits between backend engineering, automation, LLM application development, systems integration, and client implementation. You do not need to already know our full agent stack — we have templates and patterns, and we care more about whether you can become reliable fast.

What you will do

Translate a client workflow into a clear implementation plan: tools, data sources, permissions, approval points, edge cases, success criteria.

Build Python glue around AI workflows: API connectors, webhooks, small backend services, scripts, data syncs, and browser automation where APIs are limited.

Configure and tune LLM-powered workflows from our templates.

Integrate Slack, Telegram, Notion, GitHub, CRMs, ecommerce and marketing platforms, helpdesks, analytics, and internal knowledge bases.

Make implementations maintainable: logs, error handling, smoke tests, runbooks, handoff notes.

Support launched workflows: triage issues, debug integrations, fix regressions, and document changes.

What we expect

2+ years of backend, automation, integration, or applied software engineering experience.

Python-first engineering ability.

Solid API fundamentals: REST, webhooks, OAuth basics, retries, rate limits, request debugging, structured logs.

Some hands-on exposure to LLM tools or AI automation, or strong motivation to learn them quickly with guidance.

Comfort working with messy real-world systems: unclear requirements, imperfect docs, partial APIs, edge cases.

Basic DevOps literacy: Linux, Docker basics, environment variables, logs.

Pragmatic scoping and a self-directed work style.

Ukrainian for team communication; working English for documentation and APIs.

Nice to have

Integrations experience (Slack, Telegram, Notion, GitHub, Google Workspace, CRM, helpdesk, ecommerce, analytics); OpenAI / Anthropic / Gemini, RAG, vector search, or agent orchestration; Playwright; client-facing experience; security and data-handling awareness.

Format

Contractor / project-based, remote. Start with a compact paid pilot task that mirrors real client work, then project delivery and/or ongoing support. Compensation hourly or project-based, agreed after technical fit and scope.