Jobs Python

• Project Description:

  We're seeking a strong and creative Software Developer eager to solve problems of scale and work on cutting edge and open-source technologies. In this project, you will have the opportunity to write code that will impact thousands of users every month. You'll implement your critical thinking and technical skills to develop cutting edge software, and you'll have the opportunity to interact with teams across disciplines.
  
  In Luxoft, our culture is one that strives on solving difficult problems focusing on product engineering based on hypothesis testing to empower people to come up with ideas. Great Place to Work Institute certifies us as one of the Top 10 companies to work for in Mexico and other geographies, and we do it with a truly flexible environment, high impact projects in Agile environments, a culture focused on results, training and strong support to grow your career.

• Responsibilities:

  - Work closely with other engineers, designers, and management teams to rapidly build, iterate, test, and deploy new features and products and main a high-quality robust codebase
  - Improve and scale the existing products and tools
  - Launch new projects from ideation to completion
  - Actively support your team's deployed software
  - Drive the development team towards the goal by integrating skills and experiences.
  - design integration with 3rd parties (Python AWS interoperability role)
  - work with Auths (Authorizations) process - connect to many different systems interoperability via healthcare data / companies / health systems / EMR
  - Work with QA, product management, and operations in an Agile environment.
  - Develop and support data-driven product decisions in a high energy high-impact team.
  - Participate in the resolution of production issues and lead efforts toward solutions.
  - To maintain legacy applications and participate in the migration to newer technology in the mid-term if needed.
  - Collaborate and drive research to find the solution to system bugs and issues.

• Mandatory Skills Description:

  - 5+ years of professional software development experience
  - Strong understanding of Computer Science fundamentals in data structures, algorithms, and design patterns
  - Advanced proficiency in Python 3.12+ as software or data engineering
  - MongoDB, ideally with Beanie ODM (async) for persistence layer
  - OAuth/OIDC + JWT — auth via Keycloak and Descope; backend is provider-agnostic, works off JWT claims
  - Docker / docker-compose — everything runs in containers
  - Mastery of API design (REST), FastAPI (async)
  - Comprehensive grasp of databases (SQL/NoSQL)
  - Expertise in cloud services
  - Experience with Event-Driven Microservices Identity management/OAuth
  - Experience with observability, tracing, and other cloud-native patterns

• Nice-to-Have Skills Description:

  - Healthcare interoperability resources (FHIR) R4, SMART Health Links/Cards (SHL/SHC)
  - JWE decryption
  - Testing discipline: pytest + Cucumber/Playwright E2E
  - QR/image decoding (pyzbar/zbar)
  - storage connector integration (Google Drive, OneDrive, Box, SMTP, FHIR servers)
  - Observability: OpenTelemetry, Prometheus
  - infrastructure: Apache Kafka, AWS Secrets Manager

• Languages:
  • English: B2 Upper Intermediate

We’re growing and looking to hire a Software Team Leader - XSA who embodies our core values: People First, Customer Obsession, Strive for Excellence, and Integrity. Claroty is a global leader in cyber-physical systems (CPS) protection, dedicated to securing the critical infrastructure that keeps the world running. We’re a fast-growing, award-winning team where innovation meets purpose—and we want you to help us define the future of cybersecurity.

As a Software Team Leader for XSA (xDome Secure Access), you will lead the development of our industry-leading secure remote access solution. In a world where critical infrastructure is increasingly connected, your team will build the bridge that allows safe, monitored, and frictionless access to sensitive industrial environments. You will deal with complex networking challenges, identity management, and high-availability systems where security and performance are equally paramount.

Responsibilities:

• Drive a high-performing team of developers, fostering a culture of technical ownership, security-first mindset, and continuous delivery.
• Lead the design and implementation of robust secure access features, ensuring seamless integration between IT and OT networks.
• Oversee the development of scalable, high-performance gateway and proxy architectures that support global enterprise scales.
• Work closely with Product Management and Security Researchers to implement Zero Trust principles and advanced session monitoring capabilities.
• Invest in your team’s professional growth, promoting best practices in code quality, security protocols, and system resilience.

Requirements:

• 3+ years of experience leading R&D teams in a fast-paced environment.
• 5+ years of experience in backend development, with a strong track record of building complex systems in Python.
• Deep understanding of networking protocols (TCP/IP, HTTP/S, SSH, RDP) and security concepts (Zero Trust, Identity Management, Encryption).
• Experience building distributed, high-availability systems that handle real-time traffic and data.
• Proficiency in utilizing AI development tools (specifically Cursor and Claude) to accelerate development workflows, code generation, and problem-solving.

Would be a plus:

• Familiarity with frontend frameworks like Angular or React.
• Experience with Cloud-Native technologies (AWS/Azure/GCP, Docker, K8s).
• Experience in the Cybersecurity industry, specifically in Remote Access (VPN/ZTNA) or Identity (IAM).

What we offer

• Help and support from our caring HR team.
• 20 working days of annual paid leave.
• The exchange of experience and work with talented colleagues.
• Last but not least - valuable compensation for your efforts.

We are looking for a Senior Python Developer who is ready to scale and grow with us.
 

If you’re passionate about clean code, scalable backend architecture, and excited to build something impactful, we’d love to meet you!
 

What will you do?
 

• Contribute to the full backend lifecycle, from architecture design to production deployment;
• Design, develop, and maintain RESTful APIs using Python, Flask, FastAPI, and SQLAlchemy;
• Implement microservices architecture with message brokers and API gateways;
• Implement authentication and authorization with industry-standard encryption and access control;
• Optimize backend services for performance and efficiency, identifying bottlenecks and implementing solutions to improve response times and resource utilization;
• Implement complex algorithms and data structures to handle data processing, operations research (OR), recommendation systems, and optimization problems;
• Deploy and scale services on GCP (Cloud Functions, Cloud Run, Kubernetes); containerize with Docker;
• Design and optimize database schemas using PostgreSQL/MySQL and integrate Pandas/NumPy for analytics and ML;
• Document API specifications using OpenAPI (formerly Swagger);
• Collaborate with frontend, data science, and DevOps teams to align backend with product goals;
• Maintain engineering standards through code reviews, documentation, and knowledge sharing.
 

Requirements:

• 7+ years of commercial experience in backend development with Python;
• Upper-Intermediate English (B2 or C1) for comfortable verbal team communication.
• Strong hands-on experience with Python, Flask, and SQLAlchemy, Pandas, NumPy;
• Proficiency with Docker and Kubernetes;
• Expertise in software architecture and design patterns, with a proven track record of solving complex technical and performance problems;
• Strong understanding of algorithmic complexity, optimization techniques, and best practices for designing efficient algorithms to solve complex problems;
• Proven ability to handle complex, loosely defined business logic and structure intricate processes cleanly;
• Solid grasp of software architecture and design patterns, with a track record of solving complex technical and performance problems;
• Autonomous in architectural decision-making, comfortable owning hard problems end to end;
• Bonus points if you’ve worked in medical or sports domains.

Why Solid Software?
 

• We support Ukraine;
• A wonderful team of enthusiasts and like-minded people;
• Atmosphere of comfortable work & life balance;
• Flexible schedule and work-from-home opportunity;
• Opportunity to work on projects with different directions (web, mobile, tablet, watch, desktop);
• MacBook Pro and great tech;
• Decent compensation;
• Lack of bureaucracy;
• Compensation for professional events, sports activities;
• Corporate online parties and fun team-buildings;
• Anniversary and birthday presents.
 

Professional growth:
 

• Onboarding and mentorship program with a dedicated onboarding guide built by our team;
• Internal Career Path program from Developer to Architect that consists of knowledge areas for IT specialists, books, training sessions, and work activities;
• Corporate library with the best programming books (+ an ability to order a particular book if we don’t have it);
• Professional and constant feedback.
 

We truly value the unique talents and skills that each individual brings to our company. As we continue on our journey of growth, we eagerly anticipate the opportunity to welcome you into our team.
 

Apply now and help us shape what comes next!

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.

The product we are working on is one of TOP-3 navigation systems, complex web-services and other solutions related to it. The web and mobile apps handle information at massive scale and extend well beyond the search giving people and companies a lot of new useful options.

You will play a high-impact role within a small, efficient team dedicated to bridging the gap between Engineering and Data Science. Your work will focus on building cutting-edge Generative AI infrastructures and frameworks that significantly boost productivity across the whole product. You will develop tools that bring engineering rigor to data science workflows, solving complex problems in the GenAI space that the market has yet to crack. This is a high-impact role in a small team. You will be working alongside talented engineers and data scientists to build productivity-defining products for the next generation of the application.

Requirements:

• Location in Warsaw (Office-based role in Warsaw).
• 5+ years of experience in software development, with a focus on infrastructure or data-centric applications.
• Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.
• Strong proficiency in Python and a solid understanding of backend architecture.
• Experience with SQL and the ability to handle complex data structures.
• Problem-Solving: Ability to write clean, abstract, and maintainable code for a rapidly evolving GenAI landscape.
• Communication: Excellent communication skills for collaborating with geographically distributed teams and translating data science needs into technical requirements.

• Fluency in English.

   

Nice to have:

• Generative AI Expertise: Familiarity with LLM orchestration frameworks, prompt engineering, or vector databases.
• Polyglot Programming: Experience with Kotlin, Java, Bash, or HCL (Terraform).
• Frontend Interest: Experience building chat interfaces or data visualization dashboards.

• Large-Scale Systems: Experience working on large-scale infrastructure that serves a diverse range of internal or external users.

   

Responsibilities:

• GenAI Development: Design, develop, and maintain features for our GenAI analytics agent (DataWhiz) that serve the entire organization for complex data analytical inquiries.
• Framework Optimization: Improve and scale the internal GenAI framework, including fixing bugs and optimizing the core engine for performance and reliability.
• UI/UX Enhancement: Build and implement new UI features for the GenAI chat interface to ensure a seamless experience for internal stakeholders.
• Cross-Functional Collaboration: Partner with development, product, and UX teams to define product requirements, while collaborating with core platform engineers to ensure infrastructure alignment.

• Engineering Excellence: Bridge the gap between Engineering and Data Science by applying software engineering best practices (code reviews, CI/CD, scalability) to DS workflows.

   

We offer:

• Opportunities to develop in various areas;
• Compensation package (20 paid vacation days, paid sick leaves);
• Flexible working hours;
• Medical Insurance;
• English courses with a native speaker, yoga (zoom);
• Paid tech training and other activities for professional growth;
• International business trips

• Comfortable office (Office-based role in Warsaw - 5 days in the office)

   

If your qualifications and experience match the requirements of the position, our recruitment team will reach out to you in a week maximum. Please rest assured that we carefully consider each candidate, but due to the amount of applications the review and further processing of your candidacy may take some time.

About the client

Our customer is the European online car market, serving over 30 million monthly users and present in 18 countries. As part of their project, they are building an internal AI platform and are looking for a Senior AI Engineer with genuine, hands-on experience building agentic AI systems - not just integrating existing tools.

This is a hands-on engineering role for someone who has real depth in both AI system design and AWS platform engineering, and who can move fluidly between the two to build production-grade, agentic solutions.

While this is a hands-on role, you will also influence technical direction, raise the bar for engineering practices, and enable other data scientists and engineers to succeed.

Duration is 4-6 months with the possibility of prolongation. 

Time zone: EU or Canadian time zone.

We are ready to consider candidates for part-time cooperation.

Responsibilities:

• Design, build, and maintain agentic AI systems as part of the AI platform
• Work in depth with AWS to build and operate the underlying platform infrastructure
• Design and implement knowledge graph solutions to support AI reasoning and retrieval (e.g. using AWS Neptune or Neo4j)
• Collaborate with cross-functional teams to align the AI platform with business goals and internal use cases
• Troubleshoot and resolve issues across integrated systems to ensure reliable, end-to-end agentic workflows.

Requirements:

• 5+ years of experience in Software Development
• Real, hands-on experience building agentic AI systems - genuine understanding of how they work, beyond just using existing tools or frameworks off the shelf.
• Strong, in-depth AWS experience - real platform engineering depth, not incidental or side use of AWS.
• Strong Python knowledge
• Deep experience building knowledge graphs, ideally with AWS Neptune or Neo4j - especially valuable for this role.
• Experience with LLMs, prompt engineering, and AI integration patterns.
• Strong troubleshooting skills and a collaborative, team-first mindset.
• English level - upper-intermediate (both verbal and written)

Nice to Have:

• Familiarity with MCP (Model Context Protocol).
• Proficiency in infrastructure as code (e.g. CDK in TypeScript/Node.js) to manage AWS services such as Amazon Bedrock and Agent Core.
• Docker/Kubernetes familiarity.

At Immense Group, we are guided by our core values of passion, boldness, and integrity. We strive to create an environment where our people thrive, driven by a love for innovation and a commitment to delivering exceptional player experiences. If you’re passionate about iGaming and tech development bold in your approach, and act with integrity, we’d love for you to join our team as a RPA & Python Engineer. 
 

A taste of what you’ll do 
We're looking for an experienced RPA Engineer to join our automation team. In this role, you'll design, 
build, and maintain automation solutions using UiPath and Python, working closely with stakeholders 
across Casino, AML, Finance, and Tech. You'll help remove manual bottlenecks, improve operational 
efficiency, and support the wider adoption of automation across the business. 

• Working closely with departments such as Casino, AML, Finance, and Tech to understand automation needs
• Designing, building, and deploying RPA and Python-based automation solutions that reduce manual effort and operational risk
• Maintaining clear technical documentation and handover materials for every solution delivered
• Adapting quickly to shifting priorities across multiple concurrent projects
• Owning end-to-end delivery of RPA solutions, from design through to production deployment
• Presenting technical solutions to non-technical stakeholders in plain, accessible language
• Monitoring and troubleshooting live RPA bots to ensure stable, ongoing operation
• Keeping up to date with developments in automation and AI tooling, and applying them where useful
• Any other task or responsibility that may be related and/or connected to the role of RPA Engineer

Who and what we are after? 
 

• At least 3 years' hands-on experience building RPA solutions with UiPath
• Proven ability to design automation pipelines connecting multiple systems — extracting, processing, and integrating data with existing codebases (Python, Java, PHP)
• Experience deploying and supporting UiPath solutions in a live production environment
• Strong working knowledge of APIs
• Solid QA testing background, automated or manual
• At least 2 years' experience with Python automation, including APIs and Selenium
• Comfortable analysing data with Python (e.g. pandas) — desirable but not essential
• Practical experience using AI APIs (e.g. OpenAI, Claude, Gemini)
• Ability to maintain and update RPA scripts on an ongoing basis
• Experience integrating RPA workflows with Python via APIs
• Working knowledge of C#, Java, or PHP for troubleshooting and bug fixes — nice to have
• Strong problem-solving skills with close attention to detail
• Comfortable working in agile environments, managing multiple concurrent projects
• Strong communication and stakeholder management skills

Nice to have

• UiPath certification
• Bachelor's degree in Computer Science or a related field

Remuneration:

up to 3050 eur gross per month

Benefits: 

— 25 days paid vacation days 

— paid public holidays in the country of residence 

— Additional marriage leave 

— Additional paternity leave 

— 5 days of paid sick leave 

— 1 volunteer day 

— Professional development support 

— Department team building activities 

— HR support 

We are looking for a Simulation Engineer to build and run the simulation tooling behind slot game mathematics within an iGaming product. You turn mathematical specifications into fast, reproducible, config-driven simulations, validate the results, prepare math validation reports, and support developers and QA during integration and testing. The mathematical model itself is owned by a Game Mathematician you will work with closely.
Prior iGaming experience is welcome but not required.

Responsibilities
- Build and maintain a config-driven simulation framework for slot games: reels /weights, paytables and feature parameters defined in configuration rather than in code.
- Make the tooling usable directly by the Game Mathematician, so balancing iterations can be run without engineering involvement.
- Run and analyze Monte Carlo simulations to validate RTP, payout distribution, volatility, hit rate and max win frequency, including convergence and confidence intervals.
- Prepare math validation reports generated from simulation runs, with reproducible results (seeded runs, versioned configurations) and result export.
- Generate the tables, configuration files and exports that accompany the mathematical documentation.
- Cross-check simulation results against analytical calculations and simplified known-answer configurations.
- Write and maintain tests for payout calculation logic, and regression checks on RTP across configuration changes.
- Support developers and QA during integration and testing phases: reconcile differences between the reference simulation and game engine test runs.

Optional / Additional Responsibilities
- Build visualization and reporting tools for payout distributions.
- Set up CI for simulation runs and automated regression on configuration changes.
- Participate in the full game lifecycle (from concept to release).

Requirements
- Strong Python at an engineering level: numpy, vectorization, profiling, working with large data volumes.
- Experience building config-driven, reproducible tools rather than one-off scripts, including seeded runs and versioned configurations.
- Applied statistics: confidence intervals, convergence, variance, and working with rare events and distribution tails.
- Ability to work precisely from a written technical specification, raising ambiguities rather than resolving them independently.
- Testing discipline: unit tests on calculation logic, and validation of simulated results against analytical values.
- Strong analytical thinking, attention to detail, and ownership of results.

Nice to Have
- Experience in iGaming or with casino game mathematics.
- Background in a domain involving applied probability: quantitative finance, actuarial work, sports betting, computational physics, or operations research.
- Performance optimization experience (Numba, Cython, C++ or Rust).
- Experience with CI pipelines for computational workloads.
- Understanding of compliance and regulatory requirements in iGaming.

We are looking for a Senior Full Stack Developer for our client, an Israeli AI startup building a platform for the publishing industry.

The company uses AI to analyze books and manuscripts, helping publishers and literary agents identify the books they are most interested in, while giving authors insights that can improve their chances of getting published.

The product sits at the intersection of AI, data, and user experience, turning complex manuscript analysis into practical tools used by publishing professionals and authors.

The Role

This is a highly independent, ownership-driven position.

You will work directly with the client’s CPO and take technical ownership of the product across backend, AI workflows, data pipelines, infrastructure, and the React application.

The role is backend-heavy, with most of your time focused on Python, APIs, data, AI integrations, and infrastructure. You will also work with the existing React application when needed.

The company is looking for someone senior enough to operate independently without relying on a dedicated tech lead or separate DevOps/backend teams.

What You’ll Own

* Backend APIs built with Python and FastAPI

* SQLAlchemy and Pydantic

* PostgreSQL, including data modelling, complex queries, performance, and scaling

* Integration and productionization of AI services and LLM APIs

* Data pipelines and Airflow DAGs

* AWS infrastructure, including ECS, RDS, S3, and boto3

* Docker, CI/CD, deployments, monitoring, and production troubleshooting

* Features and improvements in the React / Material UI web application

* Technical decisions across the product and infrastructure

What We’re Looking For

* Strong senior-level production experience with Python

* Strong hands-on experience with FastAPI

* Solid knowledge of relational data modelling, PostgreSQL and SQL

* Experience working with databases and APIs at scale

* Good understanding of API security, web protocols, and performance

* Practical experience integrating AI services or LLM APIs

* Hands-on experience with AWS

* Experience with Docker and CI/CD

* Experience with Airflow or similar data orchestration tools

* Ability to independently investigate and solve production issues

* Strong ownership mindset and comfort working in a small startup environment

* Ability to work effectively in English

Frontend expertise is not required. Product direction and design are handled by the CPO. However, you should be comfortable working with an existing React codebase and reviewing AI-generated frontend code when necessary.

Nice to Have

* LangChain

* Vector databases / vector search

* RAG

* AI/NLP product experience

* High-scale SaaS experience

* Previous startup experience

* Interest in books, writing, or publishing

We run an internal data platform behind a talent representation intelligence product that maps out the entertianment industry.
 

We are rebuilding the platform (legacy Symfony/Angular → Django + React) because the current system stores its most valuable data as unstructured text and can't support where the product is going. . This is not a greenfield toy and not a rescue job — it's a planned rebuild with an unusual amount of groundwork already done:

• A product & architecture document with the domain model decided: what each module means, what dies, what changes, and the conventions (append-only history, structured-at-entry, derived-values-never-facts, and more)
• An epic breakdown with dependency order and explicit definitions of done
• A decisions register — every product ruling logged, searchable, current
• Approved feature specs for the major new modules (representation history, deals/endorsements restructure, awards, drafts)
• A migration standard: raw-row archives, legacy-ID mapping, conflict review queues, rehearsed cutover — nothing silently dropped, nothing silently merged
   

Your job is to design and build within that system: propose schemas and migration plans per module (we call these build contracts — you propose, product approves, then you build), stand up the foundation (auth, field-level permissions, API-first architecture), build the cross-cutting primitives (audit log, unified sources, soft delete, lookups), and run a phased legacy migration where reconciliation counts get reviewed, not just produced.
 

How we work — read this part twice:

• The documents are the spec; the legacy code is not. Many current features are unused and several database tables are mislabeled (we've mapped this). When you hit a question about what something should do, you ask — you don't resolve it from old code. We answer questions daily, in writing, fast.
• Gates are real. Every epic starts with your proposed schema + migration plan; implementation starts after approval. Epics close when their definition-of-done closes — including a researcher completing the workflow without your help — not when the tasks are checked off.
• AI tooling is welcome and expected. We assume you'll use agents/copilots — we do. What we hire for is what the tools can't do: judgment. You verify what your tools produce against the real schema and the real data before it reaches us. "The agent said so" is not a source. (Our favorite recent bug: a generated diagram claiming a name column was an integer. The person who catches that is who we're hiring.)
• Evidence over memory. Unknowns get investigated — code usage, row counts, what breaks — and then ruled on. We don't guess.
  
  You're a fit if:
• Senior Django + React, with real ownership of at least one system end-to-end (schema through UI through deployment)
• You've done at least one legacy migration or system replacement and can talk concretely about what went wrong and what you'd do differently
• You read before you build — genuinely. Our last mismatch was a capable developer who never opened the app or the documents; the interview is designed to detect this, so if it's not you, save us both the call
• You're comfortable proposing designs to a non-engineer product owner who is deeply involved, defending them in writing, and being overruled on product grounds without sulking
• Strong written English; async-first habits; you leave a paper trail by default
• Bonus, not required: search infrastructure (Typesense/similar), data-pipeline/ETL work, having worked alongside scraper/ingestion systems, PostgreSQL depth

Langate is an award-winning provider of software development services across three primary domains: Healthcare, Business, and Education. We build digital products that solve complex business challenges and create measurable value for our clients. We take pride in our long-term partnerships with U.S.-based companies and our experience delivering scalable software solutions for the Healthcare industry.

We are looking for an experienced Technical Lead who can take ownership of the platform’s backend architecture and lead the technical execution of the engineering team. This role combines architecture, hands-on development, and team leadership. You will design complex backend solutions, decompose them into actionable tasks, support engineers during implementation, review code, and help maintain a high engineering standard across the product.

 

About the project:
 

We are building a large AI-driven platform for the Healthcare domain designed to automate Revenue Cycle Management processes, including billing, payment posting, data processing, and other operational workflows that have traditionally required significant manual effort.
The platform combines traditional workflow automation, data-processing and scraping components, and AI-powered agents capable of handling more complex business processes.

This is a long-term product where the Technical Lead will have significant autonomy and the opportunity to influence backend architecture, engineering practices, technical decisions, and the future direction of the platform.

Requirements:
 

• 6+ years of commercial software engineering experience
• Strong hands-on experience with Python backend development
• Strong commercial experience with Node.js and TypeScript
• Proven experience designing and implementing backend architecture for complex applications
• Experience building scalable, high-load, or high-throughput systems
• Strong understanding of software architecture principles, system design, scalability, reliability, and performance
• Experience designing systems that consist of multiple services, modules, or integrations
• Strong experience with relational databases
• Practical experience with cloud platforms such as Azure or AWS
• Experience leading developers, reviewing pull requests, mentoring engineers, and supporting their professional growth
• Strong problem-solving skills and a pragmatic approach to architecture
• Practical understanding of modern AI-assisted development tools and how to use them effectively throughout the software development lifecycle
• Upper-Intermediate English or higher

Nice to Have:
 

• Experience working on Healthcare products
• Experience working with Redis or similar caching and data-processing technologies
• Experience building AI-powered products, automation platforms, or agent-based systems
• Experience designing distributed systems using Python

Responsibilities:
 

• Own and continuously develop the backend architecture of the platform
• Design scalable, reliable, and maintainable technical solutions for complex product requirements
• Make architectural and technical decisions together with the Head of AI and other stakeholders
• Translate high-level product and business requirements into clear technical solutions
• Mentor developers and support their technical and professional development
• Improve system performance, reliability, maintainability, and observability
• Support the product as it moves further into production and scales across additional modules and business processes
• Promote effective use of AI and LLM-based tools within the engineering workflow

Tech Stack: Python, Node.js, TypeScript
 

Schedule: 5/2, 8-hour working day (40 hr per week), flexible schedule. No late meetings and overtime. 

Hiring Process: HR Interview + Technical Interview.

 

We offer:
 

• Competitive compensation
• B2B contract, paid sick leave, 20 days of paid vacation
• Free English lessons  
• Flexible work schedule  
• Official Ukrainian holidays are non-working days  
• Paid courses and certifications  
• Сoach / psychologist consultation  
• Workshops  
• Career development plan
• Mentoring Education  
• Medical Health Insurance
  
   

Why Choose Us? What Do We Offer that’s Exceptional?
 

1. Cutting-Edge Technologies on Real Projects: At Langate, you’ll work with the latest technologies on live projects. We’re a dynamic, fast-growing company, so you’ll find a minimal amount of legacy systems and plenty of opportunities to implement new technologies.
    
2. Work-Life Balance with Benefits: We value work-life balance and offer paid time off, including vacation days and sick leave. Remote work options and hearty life are part of the package too.
    
3. Investment in Your Growth: We’re committed to your professional development. You can expect training programs, courses, and opportunities to enhance your English language skills.
    
4. Team Building and Unity: We know that a happy team is a productive team. That’s why we organize team-building events and group activities to foster strong bonds and a sense of belonging.

When you choose us, you’re choosing a company that values innovation, invests in its employees, and provides a supportive and engaging work environment. Join us in shaping the future of technology!

Need more information? Welcome!

At P2Bid, we build multiplayer games where every game mechanic is powered by a fast, reliable, and scalable backend.
 

We're looking for a Senior Python Developer with 5+ years of commercial Python experience, including 3+ years building asynchronous backend services under real production load.
 

About the role:

We're looking for an engineer who goes beyond implementation and takes ownership of technical decisions.

You'll be responsible for designing and evolving core backend services, owning critical parts of the system, reviewing code, and helping shape the technical direction of the product. We value engineers who think about reliability, scalability, maintainability, and long-term architecture—not just delivering features.
 

Requirements

• 5+ years of commercial Python development experience.
• 3+ years building high-load asynchronous backend services.
• Strong knowledge of Python 3.11+, async/await, the event loop, and asynchronous programming principles.
• Hands-on experience with asynchronous web frameworks such as FastAPI, Starlette, aiohttp, Litestar, or similar.
• Deep understanding of asyncio: gather, TaskGroup, task cancellation, timeouts, backpressure, and concurrency patterns. You understand why a silently failed background task is a production incident.
• Strong typing as a standard development practice. Experience with mypy or pyright, Protocols, Generics, and modern Python typing.
• Excellent SQL skills, including JOINs, indexes, transactions, and extensive experience with PostgreSQL.
• Strong understanding of PostgreSQL locking mechanisms (FOR UPDATE, SKIP LOCKED), transaction isolation levels, deadlocks, and query execution plans.
• Experience with SQLAlchemy (ORM or Core) or another mature ORM.
• Confident writing automated tests with pytest, fixtures, parametrization, and dependency mocking.
• Experience working with Docker, Git, and code reviews through Merge/Pull Requests.
• Production experience with message brokers such as Kafka, RabbitMQ, NATS, or similar. You've debugged real production issues—not just studied the concepts.
• Practical experience building distributed systems, including at-least-once delivery, idempotency, deduplication, and understanding why exactly-once delivery is not achievable over the network.
• Experience working with business-critical domains such as payments, billing, accounting, order management, inventory, or any system where mistakes have financial consequences.
• Strong understanding of failure scenarios. For example, you know how to handle cases where a request was sent but no response was received—and why a naive retry may be worse than a failure.
• Ability to perform meaningful code reviews, focusing on architecture, reliability, maintainability, and engineering quality—not just code style.
• English sufficient for reading technical documentation, writing code comments, and technical documentation. Spoken English is a plus but not required.
   

Tech Stack

• Python 3.12
• FastAPI
• PostgreSQL
• MongoDB
• NATS / JetStream
• Docker
• Kubernetes

We also use dishka (dependency injection), adaptix (mapping), FastStream (message broker abstraction), ty (typing), and uv (dependency management). You don't need prior experience with these libraries—they're based on familiar concepts and are easy to learn. During interviews, we focus on your understanding of asynchronous programming, SQL, distributed systems, and engineering trade-offs, not on knowledge of specific libraries.
 

If you meet most of the requirements, we'd love to hear from you—even if some technologies in our stack are new to you.

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

Responsibilities

• Extract Revit and IFC model data—properties, parameters, type/instance data, and relationships—using Autodesk Platform Services APIs
• Transform extracted model data into structured, analysis-ready formats such as Parquet, JSON, or CSV
• Process and manage derived geometry data (SVF/SVF2, OBJ, STL, IFC) for downstream analysis and visualization
• Build and maintain geometry data checks, including proximity/clash detection, bounding-box and volume validation, missing-element detection, and parameter completeness
• Run IFC quality checks to validate schema conformance, property-set completeness, and geometry integrity
• Develop and operate robust data ingestion pipelines, handling asynchronous translation jobs, webhooks, retries, and large/heavy models
• Map BIM data semantics onto the platform’s structured data model and identify API coverage gaps
• Collaborate with data, engineering, and AEC domain teams to ensure extracted data accurately reflects model intent
 

Required Skills

• Strong backend/data engineering skills in Python
• Experience with Autodesk Platform Services (APS) APIs (Model Derivative, Data Management)
• Proficiency in extracting and transforming BIM data from Revit and IFC models
• Familiarity with IFC schema, Revit property/parameter structures, and BIM data semantics
• Ability to handle and process geometry data (meshes, transforms, spatial queries)
• Experience with data formats such as JSON, Parquet, and CSV
• Knowledge of analytical/columnar data querying
• Experience with asynchronous pipelines, webhooks, and cloud-based data processing
• Familiarity with tools like trimesh, shapely, IfcOpenShell, or xBIM
• Git proficiency for version control

Responsibilities

• Architect and implement backend systems for AI agent orchestration, including workflow logic, task routing, and error handling
• Design and build scalable, containerized microservices to support real-time data processing and high-concurrency requests
• Develop secure API gateways and data access layers for integration with enterprise systems such as SAP S/4HANA, Ariba, and external data providers
• Create backend logic for knowledge retrieval, including integration with vector databases and retrieval-augmented generation (RAG) models
• Construct connectors for external data feeds, managing rate limiting, caching, and data normalization
• Implement security controls such as authentication, RBAC, and data redaction to meet defense-grade requirements
• Optimize backend systems for on-premise and air-gapped deployments, ensuring efficient resource usage and reliability
• Establish comprehensive logging, monitoring, and observability to support operational excellence and compliance
• Collaborate with cross-functional teams to deliver robust, production-ready backend solutions for AI-driven platforms
   

Required Skills

• Expert proficiency in Python (FastAPI or Django)
• Strong experience with Go or Java for high-performance microservices
• Deep knowledge of Docker and Kubernetes for containerization and orchestration
• Advanced skills in designing RESTful APIs and gRPC services
• Experience building and managing API Gateways (e.g., Kong, NGINX)
• Proficiency with PostgreSQL and vector databases (e.g., Weaviate, Milvus)
• Familiarity with enterprise integration protocols (OData, SOAP)
• Strong understanding of authentication, RBAC, and data security best practices
• Experience deploying and optimizing systems in on-premise or air-gapped environments
• Proven ability to implement logging, monitoring, and observability in production systems