Jobs Python

Numerical Technologies LTD is a provider of custom software solutions and services specializing in risk, limits, and regulatory capital. We are currently looking for a Senior Python Developer to join our team. 
 

Project: Portfolio management systems for a US financial institution. 

What you will be doing:  

As part of the team, you will be participating in a client project focused on portfolio management solutions. You will help develop new software features, as well as support and maintain existing ones. You will be writing scalable and fault-tolerant code, debugging programs, and integrating applications with third-party web services. You will be collaborating closely with the client and product manager to understand the system’s functional and non-functional requirements, and contribute to code quality through unit testing, integration testing, code review, and system design using Python to build robust software that aligns with the client’s business needs. 

What we are looking for:  

• A strong programming background with Python and OOP skills.
• Deep understanding of algorithms and data structures.
• Experience building backend systems and working with REST APIs.
• Proficiency with SQL databases.
• Experience with FastAPI and Linux environments.
• Strong problem-solving skills and ability to collaborate effectively in a team environment.
• Upper-Intermediate level of English or above. 
• Experience with AWS is a plus. 

What we offer: 

• Competitive compensation depending on experience and skills. 
• Regular assessments and salary reviews. 
• Paid personal days. 
• Mental health support program. 
• Language classes. 
• Flexible working schedule. 

Project Description:

You will join a Regulatory Reporting Platform within a large US investment bank. The platform is responsible for collecting, processing, and transforming large volumes of data from multiple internal systems to produce regulatory reports for 240 jurisdictions worldwide. In total, the platform supports around 10,000 reports across a wide range of regulatory, compliance, financial, and risk reporting areas.
This is a large-scale, business-critical data platform operating in a highly regulated environment, where data accuracy, quality, traceability, and timely delivery are essential. The team works on building and enhancing data pipelines, implementing reporting logic, ensuring data validation and reconciliation, and supporting the generation of complex regulatory outputs.
The project is delivered by a global distributed team with colleagues located in Ukraine, Poland, and the US, offering close collaboration with engineers, analysts, and business stakeholders across multiple regions.

Responsibilities:

- Design, develop, and maintain solutions for a large-scale Regulatory Reporting Platform
- Build and enhance data processing pipelines using Java and Apache Spark
- Implement scalable logic for data ingestion, transformation, aggregation, and enrichment from multiple internal data sources
- Develop and optimize batch processing jobs to support the generation of regulatory reports across multiple jurisdictions
- Ensure high standards of data quality, validation, reconciliation, and consistency throughout the reporting lifecycle
- Translate business and regulatory requirements into robust technical solutions
- Collaborate with business analysts, QA engineers, and cross-functional teams to deliver reporting functionality
- Investigate and resolve data and application issues in development, test, and production environments
- Improve application performance, scalability, and reliability for high-volume data processing workloads
- Contribute to the design and implementation of reusable components and engineering best practices
- Participate in code reviews, testing, and release activities to ensure high-quality deliverables
- Work closely with distributed teams across Ukraine, Poland, and the US in an agile delivery model
- Support continuous improvement of the platform, including monitoring, troubleshooting, and operational stability

Mandatory Skills Description:

- 6+ years of commercial experience with Java
+ 2+ years of experience with Spark
- Experience in designing and developing scalable, high-performance backend applications
- Good knowledge of SQL and working with large datasets from multiple data sources
- Strong problem-solving skills and ability to work effectively in a global distributed team

Nice-to-Have Skills Description:

- Experience in financial services, investment banking, or regulatory reporting projects
- Familiarity with data quality, reconciliation, and control frameworks
- Experience working with large-scale enterprise data platforms
- Knowledge of cloud environments and modern data platform architectures
- Understanding of CI/CD practices and automated deployment pipelines
- Experience working in Agile / Scrum teams within a distributed global setup

Recruitment process:

1. CV Review — the project team reviews your experience and its relevance to the position.
2. Technical Interview — a technical discussion with our interviewer.
3. Project Management Interview (PMI) — a discussion about your experience, communication, and project fit.
4. Karat Interview — the first technical interview with the client.
5. Client Interview — the final interview with the client’s project team.

Who We Are:

An international iGaming company specializing in identifying and fostering the growth of high-potential entertainment markets. With 1000+ professionals in 20+ locations, we operate in 10 countries, serving over 300,000 customers.
 

Always Pushing the Boundaries? You Already Belong at RISK!

Our global-scale operations are based on strong internal expertise, analytics, and data research. We have expertise in iGaming operations (sports betting, online casino), digital and affiliate marketing, tech solutions, and data analytics.

 

Responsibilities:

• Develop, maintain, and optimize backend and frontend services using Python.
• Design and implement REST APIs for payment processing and third-party integrations.
• Integrate external payment providers (PSPs), including pay-in, pay-out, and payment status callbacks.
• Ensure secure, reliable, and efficient processing of payment transactions and sensitive data.
• Actively use AI-assisted development tools such as Claude Code and OpenAI Codex in daily workflows.
• Deploy and maintain services in Kubernetes environments.
• Monitor application performance, troubleshoot issues, and improve system reliability.
• Write clean, maintainable code and automated tests.
• Participate in code reviews, technical discussions, and release processes.
• Collaborate with internal teams and external payment providers to resolve integration and technical issues.

Requirements:

• 2+ years of commercial experience in Python development.
• Hands-on daily experience with AI coding tools such as Claude Code, OpenAI Codex, or similar solutions.
• Strong experience with FastAPI and/or Django.
• Solid understanding of asynchronous programming in Python (asyncio, async/await, event loop).
• Good knowledge of PostgreSQL, including database design, indexing, and query optimization.
• Practical experience with MongoDB and Redis.
• Experience with message brokers such as RabbitMQ or similar technologies.
• Experience with Docker and a good understanding of Kubernetes deployment and operations.
• Understanding of CI/CD processes, preferably GitLab pipelines.
• Ability to write clean, scalable, testable, and maintainable code.
• English B1+ for reading technical documentation and written communication.

Additional Information

Our Benefit Cafeteria is Packed with Goodies:

• Children Allowance
• Mental Health Support
• Sport Activities
• Language Courses
• Automotive Services
• Veterinary Services
• Home Office Setup Assistance
• Dental Services
• Books and Stationery
• Training Compensation
• And yes, even Massage!

Key Responsibilities:

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

Requirements:

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

Preferred Qualifications:

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

MINT is the leader in Advertising Resource Management (ARM) software, driving marketing transformation in the age of agentic AI. At the core of our innovation is an open enterprise platform that deploys autonomous AI agents to augment human teams across the marketing and advertising value chain, connecting marketing performance with enterprise growth and real business impact.

Thanks to a diverse team of over 300 professionals worldwide, we integrate technology, data, and agentic intelligence to redefine how global brands and agencies plan, execute, and optimize their advertising investments.

With the recent acquisitions of technology leaders Redmill Solutions and info³, MINT has further expanded its unified ecosystem, completing the long-awaited connection of media planning, buying, and execution within one intelligent environment.

Augmenting Advertising Intelligence. For more information, visit mint.ai.

The Role

We are looking for a skilled API Developer to collaborate with us on a consultancy basis.

In this role, you will craft and maintain the backbone of software interactions.

This is a consultancy engagement, not an employment contract. The selected consultant will work independently, bringing their specialized knowledge and experience to our projects.

Responsibilities

• Development of components and applications in Python / FastAPI / Django;
• Maintenance of existing applications;
• Tasks estimation;
• Writing unit tests;
• Writing technical documentation and reports;

This role will be a great fit if you have:

• 3+ years of experience with Python;
• Experience with Django;
• Experience with FastAPI;
• Experience with AsyncIO;
• Experience with Celery;
• Knowledge of Kafka;
• Knowledge of SQL and NoSQL databases;
• Knowledge of Docker;
• Understanding of the HTTP protocol and RESTful APIs;
• Command of Linux/UNIX environment (shell, scripting, tools);
• Passione for Testing (Unit and Integration Testing);
• Good English proficiency

Ideally, you'll also have:

• Experience with the DDD approach and Hexagonal Architecture;
• Experience with microservices;
• Experience with integrating third-party services;
• Knowledge of Go/Scala/JS

Interview Process

Candidates can expect the following steps in our interview process:

• HR Video Interview (30 minutes): A virtual interview with HR to provide an overview of the company and the role, as well as to gain insight into your experience and background.
• Technical Interview with Tech team (1 hour): A virtual interview with the API Developer Team Lead and/or other Team members, focused on your technical expertise, past experience, and problem-solving approach.
• Offer: after completing the interview process, successful candidates will receive an offer.

Typical base salary pay range:

MINT is committed to a diverse and inclusive workplace. MINT AI is an equal opportunity employer and does not discriminate on the basis of age, race, religion, color, national origin, gender, gender identity, gender expression, sexual orientation, immigration status, medical condition, protected veteran status, disability, genetic information, political views or activity, or other legally protected status.

On behalf of our Client from the UK, Mobilunity is looking for  Senior Python Engineer.

You will join a small, international product team building an API-first financial technology platform that provides automated working capital solutions to UK small businesses.

The role is highly impactful: you will design and build reliable, scalable services that directly influence how businesses access working capital. You’ll work in an environment with a high level of ownership, fast feedback loops, continuous deployment, and plenty of room to shape both the technology and the product.

This is not a role where everything is already defined. You’ll work with real ambiguity, help shape evolving architecture, make decisions with incomplete information, and collaborate closely with domain experts and other engineers.

What we’re looking for:

We need an engineer who is comfortable taking ownership of complex problems, making pragmatic technical decisions, and working in a product environment where both the codebase and the domain are continuously evolving.

The ideal candidate:

• thinks beyond implementation;
• is comfortable making decisions with incomplete information;
• understands scalability, reliability, security and business impact;
• has strong opinions about writing high-quality, typed Python;
• enjoys system design and building well-structured APIs;
• uses AI tools as a serious part of their engineering workflow while applying independent judgment;
• is comfortable working in a collaborative, low-ego environment.

Responsibilities:

• Design, develop and maintain scalable backend services using Python.
• Design and implement domain services using Domain-Driven Design principles.
• Build performant, secure and fault-tolerant serverless solutions on AWS.
• Work closely with subject matter experts to translate business requirements into technical solutions.
• Participate in architectural and technology decisions at both project and company level.
• Design and maintain idiomatic APIs and service boundaries.
• Work with data modelling and SQL to support data-driven decision-making.
• Contribute to infrastructure-as-code and cloud engineering practices.
• Troubleshoot and improve production systems.
• Work with AI coding tools and model-backed product features.
• Mentor other engineers and contribute to engineering best practices.
• Work in an Extreme Programming environment with TDD, continuous deployment and fast feedback loops.

Requirements:

• Strong commercial experience with Python.
• Experience building and running production services on AWS.
• Hands-on experience with AWS Lambda and DynamoDB.
• Experience with event-driven AWS services such as EventBridge and/or Step Functions.
• Strong understanding of typed Python and experience with Pydantic or similar approaches.
• Experience with Infrastructure as Code, preferably Terraform.
• Strong SQL and data modelling skills.
• Experience designing scalable backend systems and APIs.
• Strong understanding of software architecture and system design principles.
• Strong analytical and problem-solving skills.
• Experience working with AI coding tools in a professional engineering environment.
• Advanced English.

Nice to have:

• Experience in FinTech, lending or credit.
• Experience with open banking data.
• Experience with Snowflake or similar data platforms.
• Experience with evolutionary architecture.
• Experience designing eventually consistent systems.
• Experience with domain-driven design.
• Experience with event-driven and serverless architectures.
• Experience working in regulated environments.
• Experience with GitHub Actions or similar CI/CD platforms.

In return we offer:

• The friendliest community of like-minded IT-people
• Open knowledge-sharing environment – exclusive access to a rich pool of colleagues willing to share their endless insights into the broadest variety of modern technologies
• Mobilunity Medical Insurance program designed to attend our teams’ needs
• Paid vacations and sick leaves, including 5 paid days per year that don’t require a sick note
• Perfect office location in the city-center (900m from Lukyanivska metro station with a green and spacious neighborhood) or remote mode engagement: you can choose a convenient one for you, with a possibility to fit together both
• No open-spaces setup – separate rooms for every team’s comfort and multiple lounge and gaming zones
• English classes in 1-to-1 & group modes with elements of gamification
• Neverending fun: sports events, tournaments, music band, multiple affinity groups

Come on board, and let’s grow together!

We are a sports and entertainment representation database. Companies use it to find out who represents athletes and talent. We’re a small, data-heavy team, and our research team keeps hundreds of thousands of records current.

Our goal is to map the entertainment and sports industries: who represents whom, and how that changes over time. Our data is only valuable if it’s accurate, so accuracy comes before speed in everything we build.


*English needs to be good enough to have video meetings

The role
You’ll own two areas of work:

1. Our internal Python apps. These include Django apps that power member-facing data on our WordPress site, such as a festival lineup database and sports agency market share data, plus a Flask research tool our team uses daily for roster processing and verification. You’ll maintain, fix, extend and deploy them.

2. AI automations that save our research team time. For example, given a list of names, automatically find each person’s official social media accounts, the languages they speak, and other basic public information. Results come back with confidence scores, and a person reviews them before anything is saved.

    

Who thrives here
We’re a small company moving fast, and this role is for someone who wants that. You’ll be the developer on the team, not one of many, so what you build, fix or improve has a direct, visible impact.
 

• Strong work ethic. You take ownership of your work and see it through. When something breaks or a deadline is close, you stay with it until it’s done. Comfortable with working weekends if thats what it takes.
• Comfortable with pace and change. Priorities can shift week to week, sometimes because of a launch, a news cycle or a sports season. You adapt quickly without needing every detail planned in advance.
• Self-directed. No one will hand you a perfect spec every time. You ask the right questions, make sensible decisions, and keep work moving.
• Flexibility when it counts. Some deadlines, like a season launch or a major report, need extra hours, sometimes outside your usual schedule or on weekends. We need someone who’s willing to step up at those times.
   

How we work
We want a developer who thinks like an owner, not someone who waits to be assigned tickets. That means:
 

• Contributing to the product. Give input on our goals and suggest better ways to reach them. If you see a technical way to map the industry faster or more accurately, bring it to us.
• Taking initiative. Look for ways to move the project forward on your own: automating manual work, improving our tools, and fixing problems before they become ours.
• Treating accuracy as essential. Our team verifies large volumes of data every day. Help us build processes and tools that keep data accurate at scale, with checks and safeguards rather than shortcuts.
• Using AI with judgment. We use AI tools heavily and expect you to as well. Because AI writes much of the code, your judgment is the job: review everything before it ships, catch security and data problems, ask questions when a request is unclear, and push back when something won’t work. We are not looking for someone who passes our requests to an AI and ships what comes back.
   

Requirements

• 3+ years of Python, including Django in production
• Comfortable working in Flask
• Has built real features on LLM APIs (OpenAI, Anthropic or similar), such as structured output, tool use or web search
• Experience building REST APIs and connecting systems to each other
• Solid with PostgreSQL or MySQL, including schema design and migrations
• Deploys and maintains apps on Linux servers (we use DigitalOcean)
• Works through Git, pull requests and code review
• Strong written and spoken English. You’ll work directly with a non-technical founder on regular calls.
• At least 4 hours of overlap with US Eastern time
   

Nice to have

• PHP or Symfony experience (our legacy data comes from a Symfony app)
• WordPress integration experience
• Data matching or deduplication work, like deciding whether two records are the same person
• HubSpot API experience
• Security experience with internal tools and private APIs

We are looking for Strong Junior / Middle Full-Stack Developer to join our company GoBoutique in Lviv and work on interesting projects for our USA based clients.

Required knowledge and skills: OOP, Python, Fast API, REST API, Git, PostgreSQL, IntelliJ IDEA, Linux, Data pipeline building / data ETL, AWS, React, HTML, CSS

We offer:
— Competitive salary
— Paid vacations

If you are interested, please send us your CV. Please include your salary expectations.

If you have any questions, let's talk!

Regards,
Olya

About ChatRevenue.ai 

ChatRevenue.ai was founded by Ratmir Timashev (founder of Veeam) and Vlad Voskresensky (founder of Revenue Grid) to create the next generation of CRM systems.  

We’re building an AI-native CRM platform that completely redefines how sales automation works.  
By structuring data for intelligent automation, we enable agentic AI to design workflows, assist Sales Leaders and Reps in real time, and generate predictable sales funnels – all through a simple, chat-driven interface.  

Our mission: to build a CRM that works for User, not the other way around. 

About the role 

We are looking for a Principal Backend Engineer with strong Python experience and a proven track record of building and owning production backend systems. 

This is a hands-on engineering role focused on: 

• Python backend 
• FastAPI 
• Data-heavy systems 
• AI / LLM product features 
• System architecture and scalability 

We are looking for someone who can take ownership of a backend domain, make technical decisions, and build reliable systems from idea to production. 

What you will do 

• Design, build, deploy, and maintain core backend services using Python and FastAPI 
• Own backend architecture, data flows, and technical decisions in your domain 
  Build and scale data-intensive systems, integrations, and pipelines 
• Work on AI / LLM-driven product features together with the engineering team 
• Improve system performance, scalability, reliability, and observability 
• Contribute to engineering practices: testing, CI/CD, security, and code quality 
• Work closely with product and engineering to deliver high-impact features 

What we are looking for 

• 7+ years of hands-on backend development experience 
• Strong commercial experience with Python in production 
• Python should be your primary backend language 
• Strong experience with FastAPI, APIs, Docker, Git, and CI/CD 
• Experience owning backend systems end-to-end: architecture, performance, data, reliability 
• Strong knowledge of PostgreSQL and data-heavy systems  
• Experience building distributed, scalable, or high-load systems 
• Good understanding of system design and performance optimization 
• Ability to work with ambiguity and take ownership without micromanagement 
• High ownership, independence, and product mindset 

Nice to have 

• Experience integrating LLMs / AI into backend systems 
• Experience with RAG, embeddings, vector databases, or AI assistants 
• Experience with Kafka, Azure Event Hub, or other event-driven systems 
• Experience with Kubernetes and cloud infrastructure, especially Azure 
• Experience building ETL / ELT pipelines 
• Experience working with structured and unstructured data 
• Production observability, tracing, monitoring, and optimization experience 

This role is likely a strong match for people who 

• Enjoy owning backend systems end-to-end, not just implementing isolated tasks 
• Feel strongest in Python as their main backend language 
• Have worked on production systems where reliability, performance, and scale matter 
• Want to have direct influence on technical decisions and architecture 
• Are comfortable working in an early-stage, high-ownership environment 

What we offer 

• Remote-first setup 
• Flexible schedule aligned with European time zones 
• A core engineering role in an AI-native product 
• Direct influence on technical decisions and architecture 
• Real ownership and visible product impact 
• Opportunity to grow into technical leadership / domain ownership 

If you have strong Python backend fundamentals, experience owning production systems, and interest in AI-native products, we’d love to talk. 

Numerical Technologies LTD is a provider of custom software solutions and services specializing in risk, limits, and regulatory capital. We are currently looking for a Senior Python Developer to join our team. 

Project: Development of a Market Risk platform for a global financial institution, supporting risk analytics, market data processing, and large-scale financial applications. 

What you will be doing

As part of the team, you will be participating in a client project focused on Market Risk Technology solutions. You will help develop new software features, as well as support and maintain existing ones. You will write scalable and fault-tolerant code, debug applications, and build solutions for market data processing and risk analytics. You will collaborate closely with the client, product managers, and engineering teams to understand the system’s functional and non-functional requirements. You will contribute to code quality through unit testing, integration testing, code review, and system design to build robust software that aligns with the client’s business needs. 

What we are looking for

• 5+ years of commercial Python development experience.
• Strong knowledge of object-oriented programming, algorithms, and data structures.
• Experience designing scalable backend applications, frameworks, or data platforms.
• Experience building backend systems and working with REST APIs.
• Experience working with SQL, large datasets, and data processing pipelines. 
• Experience with automated testing and CI/CD practices.
• Experience using distributed computing technologies is a strong plus. 
• Strong problem-solving skills and ability to collaborate effectively in a team environment.
• Upper-Intermediate level of English or above. 
• Bachelor’s degree or higher.

What will be a plus

• Extensive experience with C++ or Java/Scala.
• Experience in financial services or Market Risk systems.
• Knowledge of Historical VaR, Expected Shortfall, or FRTB.

What we offer

• Competitive compensation depending on experience and skills.
• Regular performance assessments and salary reviews.
• Paid personal days.
• Mental health support program.
• Language classes.
• Flexible working schedule.

We are looking for a Senior Python Developer to join a USA-based project. The company is developing a next-generation web interface platform that helps people capture ideas, thoughts, and context seamlessly, wherever they are. The product combines software and hardware, including a voice-first interface and a wearable device designed to make interaction feel intuitive and fast.

This is an early-stage, high-ownership environment where engineers work closely with founders, influence technical decisions, and help shape both the product and the engineering culture from the ground up.
 

Requirements:

Core Requirements:
— 7+ years of experience building and shipping production software in startup or fast-growing environments.
— Solid backend development experience with Python (FastAPI or similar frameworks).
— Practical experience with React and building web applications.
— Experience designing and maintaining API-first systems (REST), asynchronous services, and distributed architectures.
— Advanced debugging skills and experience investigating production incidents.
— Good understanding of system performance optimization and reliability engineering principles.
— Hands-on experience with observability and monitoring platforms such as Datadog, Grafana, Prometheus, OpenTelemetry, or similar tools.
— Solid understanding of logging, tracing, metrics, and alerting systems.
— Ability to improve system reliability, reduce latency, and maintain operational stability.
— Practical use of AI tools in daily development (e.g., AI-powered IDEs, code assistants, testing or refactoring tools).
— Clear communication skills and the ability to collaborate effectively with non-technical stakeholders.
— High level of ownership with the ability to drive technical decisions independently.
— English — Upper-Intermediate level or higher.

Infrastructure & Cloud:
— Deep understanding of AWS services and cloud infrastructure management.
— Knowledge of infrastructure scalability, reliability, and cost optimization practices.
— Experience operating and maintaining production environments.
— Familiarity with CI/CD workflows and infrastructure automation tools.

Nice to Have:
— Background in fast-paced startup environments and collaboration with cross-functional engineering teams.
— Experience developing internal engineering tools and developer tooling.
— Exposure to on-call rotations and production operations.
— Experience with containerized environments and deployment pipelines.
— Experience monitoring and optimizing AI-related costs, usage, and performance.
— Understanding of asynchronous and AI-related workflows.

Responsibilities:
— Collaborate with founders and cross-functional teams to refine and implement technical requirements.
— Design and build high-quality, scalable backend systems and APIs using Python.
— Conduct code reviews and ensure adherence to engineering best practices and maintainable code standards.
— Take ownership of production systems, including debugging issues, investigating incidents, and ensuring system reliability.

Interview stages:
— HR interview (30 minutes).
— Technical interview (1 hour).
— Interview with the customer (1 hour).
— Job offer🎉🎉🎉

We offer:
— Competitive salary.
— Challenging tasks and projects.
— Opportunities for professional development and growth.
— Flexible working hours.
— New hardware.
— Free English lessons.
— Table tennis and yoga classes.
— Availability of generators and Starlinks in the office.
— Small gym in the office.
— Adjustable height tables.
— Regular office fruit delivery and other benefits.

Let’s create value together!

Numerical Technologies LTD is a provider of custom software solutions and services specializing in risk, limits, and regulatory capital. We are currently looking for a Senior Python Developer to join our team. 

What you will be doing:  

As part of the team, you will be participating in a client project focused on portfolio management solutions. You will help develop new software features, as well as support and maintain existing ones. You will be writing scalable and fault-tolerant code, debugging programs, and integrating applications with third-party web services. You will be collaborating closely with the client and product manager to understand the system’s functional and non-functional requirements, and contribute to code quality through unit testing, integration testing, code review, and system design using Python to build robust software that aligns with the client’s business needs. 

What we are looking for:  

• A strong programming background with Python and OOP skills.
• Deep understanding of algorithms and data structures.
• Experience building backend systems and working with REST APIs.
• Proficiency with SQL databases.
• Experience with FastAPI and Linux environments.
• Strong problem-solving skills and ability to collaborate effectively in a team environment.
• Upper-Intermediate level of English or above. 
• Experience with AWS is a plus. 

What we offer: 

• Competitive compensation depending on experience and skills. 
• Regular assessments and salary reviews. 
• Paid personal days. 
• Mental health support program. 
• Language classes. 
• Flexible working schedule.

Hybrid in Krakow!

We’re looking for a Python Engineer (Data Focus) to help build a greenfield transactional platform designed to support millions of concurrent users.

The platform processes financial transactions in real time, where data integrity, sub-second performance, and reliability are critical. You’ll build scalable data pipelines and work with large datasets, streaming systems, and modern data infrastructure.

What you’ll do:

• Build and optimize Python-based data pipelines for batch and streaming processing.
• Develop ETL/ELT workflows and data transformation solutions.
• Work with large datasets, databases, and data lake/lakehouse architectures.
• Improve data processing performance, quality, and reliability.
• Collaborate with Backend, Data Engineering, and DevOps teams on a new data platform.

What we’re looking for:

• 3+ years of Python backend development experience.
• Hands-on experience building data pipelines and processing large datasets.
• Knowledge of batch and streaming data processing.
• Experience with Apache Spark, Hadoop, or similar technologies.
• Strong SQL, data modeling, and query optimization skills.
• Understanding of ETL/ELT and data lake or data warehouse architectures.

Nice to have: AWS S3, Kafka, Debezium, Databricks, Iceberg, Delta Lake, Airflow, or Dagster.

 Tech Lead / Python AI Engineer / Engineering Lead / AI Architect.

Ideally, we would like to find someone based in Western Ukraine.

Across our practices, AI experimentation is organic: agents and accelerators get prototyped, they work, and they find their way to the teams who need them.

Working is not the same as dependable, tested, hardened, properly deployed, and fit for a regulated client. Closing that distance and turning experimentation into an engineering discipline is the job.

You will build and lead our AI engineering team: you, a Senior Engineer and a DevOps Engineer, and own the path from idea to production across every asset class.

You will work with SMEs within the practices to bring prioritised pilots into products that deliver return. You will be the final technical decision-maker on what ships. Roughly two-thirds of your week will be hands-on: architecture, coding and code review. The rest will focus on direction, hiring and the operating model.
 

Key Requirements

We are looking for someone who:

• Has strong experience building and owning products, rather than only completing technical tasks within outsourcing projects.
• Has 8+ years of engineering experience.
• Has strong Python experience, including production systems where Python was the primary language.
• Has strong Azure expertise and experience with production Azure workloads.
• Has hands-on experience with AI/LLM and agentic systems.
• Has experience taking products or platforms from architecture through production and ongoing operation.
• Has a player-coach background — able to lead engineers while remaining hands-on technically.
• Has strong English and communication skills.

Has experience working with regulated environments and implementing security/governance requirements in practice.
 

• Responsibilities
• Own the AI delivery operating model and the path from prototype to production — from intake and qualification through build, hardening and rollout across accelerators and client-facing IP.
• Build and lead the AI engineering team: hire two engineers, set standards, review code, unblock the team and support their growth.
• Work with SMEs across practices to design, build, deploy and maintain applications.
• Personally build, ship and harden agentic solutions and own the assets you oversee.
• Own architecture and production standards across solutions, including solution architecture, infrastructure, model selection and validation.
• Turn governance into engineering through policy-as-code, guardrails, evaluations and release gates running in the pipeline.
• Implement controls suitable for regulated clients without unnecessarily slowing down development.

• Embed AI capabilities across practices by working with automation, application engineering and consulting SMEs to create a path from prototypes to production.

   

What Would Set You Apart?

• Claude Certified Architect (Foundations or Professional).
• Microsoft Agentic AI Business Solutions Architect (AB-100).
• LLM or agentic systems already taken to production.

• Experience deploying accelerators or productised IP across multiple clients.

  
   

Location: Ukraine - preferably the western part of the country.

Budget: Up to €72,000 gross/year
 

About the role

We are looking for a Senior Backend Engineer to join Proxet and contribute to a long-term engagement with a UK-based technology company developing simulation and decision-support solutions for governments and enterprises.

 

Who are we looking for?

Skills & Experience

• 7+ years of professional software engineering experience, with strong hands-on expertise in Python backend development.
• Experience building and maintaining production services, APIs, and integrations.
• Good understanding of distributed systems, microservice architectures, and asynchronous data processing.
• Experience with relational databases, preferably PostgreSQL, including schema design, query optimisation, and troubleshooting.
• Experience with data ingestion, processing pipelines, and integration of external data sources.
• Practical experience deploying and troubleshooting applications using Docker and Kubernetes.
• Experience with CI/CD pipelines, Git workflows, and automated testing.
• Strong debugging skills and the ability to investigate issues across services, data flows, and deployment environments.
• Experience using AI coding assistants in development, with the ability to review, validate, and take responsibility for generated code.
• Experience communicating directly with customers or external stakeholders to clarify requirements and resolve technical questions.
• Ability to explain technical concepts clearly to non-technical audiences and translate operational needs into engineering tasks.
• Strong ownership, sound technical judgement, and comfort working with evolving requirements.
• Understanding of the Ukrainian context and confidence in communicating with local organisations.
• Professional proficiency in Ukrainian and English for customer meetings, technical discussions, and written communication.
• Willingness and ability to travel to customer sites within Ukraine.

Nice to have

• Hands-on experience with Kafka publishers and consumers.
• Experience with Dagster or similar data orchestration tools.
• Experience working with public-sector organisations, local authorities, or infrastructure operators.
• Experience adapting and deploying software in customer-managed or private-cloud environments.
• Familiarity with GCP, AWS, or Azure.
• Experience with Helm, OpenShift, and shell scripting.
• Familiarity with Parquet, object storage, and metadata management.
• Experience integrating AI agents, MCP interfaces, or LLM APIs.
• Familiarity with simulation platforms, digital twins, or decision-support systems.
• Knowledge of C++.

Responsibilities

• Design, develop, and maintain Python backend services and APIs supporting customer applications and simulation workflows.
• Work directly with customers and external organisations in Ukraine to understand their needs, operational processes, and local constraints.
• Participate in customer meetings, clarify requirements, and explain technical options and trade-offs.
• Translate customer needs into implementation tasks, data requirements, and integration specifications.
• Adapt existing platform capabilities to local use cases and share customer insights with the wider engineering and product teams.
• Build and maintain data ingestion and processing pipelines using Dagster.
• Integrate customer data sources with platform services and containerised simulation models.
• Work with Kafka publishers and consumers to process simulation outputs.
• Design and optimise PostgreSQL schemas and queries, and support appropriate data storage solutions.
• Build reusable backend components and identify opportunities to apply customer-specific improvements across other deployments.
• Contribute to deployment and troubleshooting of containerised applications in Kubernetes-based environments.
• Maintain automated tests and CI/CD workflows to support reliable delivery.
• Collaborate with frontend engineers, platform specialists, modellers, and delivery stakeholders.
• Participate in code reviews and technical design discussions, documenting decisions and integration approaches.
• Use AI development tools effectively while maintaining code quality, correctness, and maintainability.
• Communicate progress, dependencies, and technical issues clearly to both internal teams and customer stakeholders.