Jobs Python

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.

Senior Python Backend Engineer — Legacy System Migration

Location: Spain, Portugal, Italy, United Kingdom
Employment: Full-time | Remote | B2B Contract
Contract Duration: 3–9 months
Seniority: Senior

About the Project

WORKSHORE is looking for an experienced Senior Python Backend Engineer to join a fast-growing European logistics technology company.

The project involves modernizing a mission-critical last-mile delivery platform that processes thousands of parcel events daily.

The existing system is built on Java and Oracle, and the engineering team is gradually migrating its backend architecture to Python and PostgreSQL.

The main challenge is to ensure the stability of a live production system while implementing a modern, scalable technology stack.

We are looking for an engineer with strong technical ownership, excellent problem-solving skills, and proven experience working with complex legacy systems.

Tech Stack

Python, PostgreSQL, Java, Oracle, Docker, REST APIs, Git, GitHub, CI/CD, Google Cloud Platform.

Responsibilities

• Maintain and improve existing backend services while migrating functionality to Python and PostgreSQL.
• Participate in planning and executing an incremental migration of a production system.
• Refactor legacy code and introduce modern engineering practices.
• Develop and optimize PostgreSQL databases, queries, and data models.
• Rebuild critical carrier integrations using the new technology stack.
• Introduce automated unit and integration testing into legacy applications.
• Ensure high availability, performance, and reliability throughout the migration.
• Manage application deployments and production stability.
• Apply AI-assisted development tools to improve engineering productivity.
• Collaborate with Product Managers and engineering teams throughout the development lifecycle.

Requirements

• Extensive commercial experience with Python backend development.
• Advanced PostgreSQL expertise, including query optimization, database design, and complex data processing.
• Proven experience maintaining and modernizing legacy codebases.
• Hands-on experience with technology migrations or major system refactoring.
• Experience developing high-load, high-volume backend applications.
• Strong understanding of unit testing, integration testing, and test automation.
• Experience with Docker, REST APIs, Git, GitHub, and CI/CD pipelines.
• Practical experience using AI-assisted coding tools.
• Ability to independently manage technical tasks and production deployments.
• Strong communication skills and good English.

Nice to Have

• Commercial experience with Java.
• Knowledge of Oracle databases.
• Experience with Google Cloud Platform.
• Familiarity with GitHub Actions or GCP Cloud Build.
• Background in logistics, delivery platforms, or e-commerce.
• Experience working in cross-functional product teams.

What We Offer

• Opportunity to work on a large-scale production platform.
• Challenging backend modernization and migration project.
• High technical ownership and autonomy.
• International engineering team.
• Remote B2B cooperation.
• Opportunity to contribute to long-term architectural improvements.

Interested? Apply through Djinni and share your CV or LinkedIn profile.

Middle Data Analyst / Analytics Engineer — GCP, BigQuery, Looker

Location: Spain, Portugal, Italy, United Kingdom
Employment: Full-time | Remote | B2B Contract
Contract Duration: 3–9 months
Seniority: Middle

About the Project

WORKSHORE is looking for a Middle Data Analyst / Analytics Engineer to join a fast-growing international technology company operating in the logistics and delivery industry.

The company is expanding its data capabilities and transforming an existing BI infrastructure into a scalable, reliable analytics platform.

You will work closely with the Head of Data and collaborate with Product, Operations, Sales, Finance, and Engineering teams.

This position combines technical data engineering expertise with business analytics, stakeholder communication, and data-driven decision-making.

Tech Stack

SQL, BigQuery, Google Cloud Platform, Dataform, Looker, LookML, Python, ETL/ELT, Data Modeling.

Responsibilities

• Own end-to-end analytics processes for a business vertical.
• Analyze business and product performance, including conversion funnels, customer retention, cohorts, and profitability.
• Develop and maintain data pipelines using Google Cloud Platform and BigQuery.
• Build data transformation workflows and analytical models with Dataform.
• Design and maintain semantic data models and business dashboards in Looker.
• Ensure consistency of KPIs and business metrics across departments.
• Investigate discrepancies between operational reporting and financial data.
• Present analytical findings and actionable recommendations to business stakeholders.
• Support the expansion of analytics infrastructure into new markets.
• Document analytical processes, data models, and pipelines.

Requirements

• 3+ years of commercial experience as a Data Analyst, Analytics Engineer, or Data Engineer.
• Advanced SQL skills and strong understanding of data modeling.
• Hands-on experience with BigQuery and Google Cloud Platform.
• Practical experience with Dataform.
• Experience with Looker/LookML or comparable BI platforms.
• Strong understanding of ETL/ELT processes and data pipelines.
• Python skills for data analysis and automation.
• Experience with product and business analytics: funnels, cohorts, conversion, retention, and profitability.
• Ability to translate complex datasets into actionable business insights.
• Strong stakeholder management and presentation skills.
• Good command of English.

Nice to Have

• Experience with GCP Pub/Sub, Cloud Run, Cloud Storage, or Datastream.
• Knowledge of Terraform and Infrastructure as Code.
• Experience with geospatial analytics or BigQuery GIS.
• Familiarity with applied machine learning and anomaly detection.
• Experience with AI-powered analytics, LLMs, or conversational BI.
• Background in logistics, e-commerce, marketplaces, or last-mile delivery.

What We Offer

• International product environment.
• Opportunity to influence business decisions through data.
• Ownership of analytics processes and reporting architecture.
• Collaboration with cross-functional teams.
• Remote B2B contract.
• Experience working with modern GCP-based data infrastructure.

I

nterested? Apply through Djinni and share your CV or LinkedIn profile.

Middle Data Analyst / Analytics Engineer — GCP, BigQuery, Looker

Location: Spain, Portugal, Italy, United Kingdom
Employment: Full-time | Remote | B2B Contract
Contract Duration: 3–9 months
Seniority: Middle

About the Project

WORKSHORE is looking for a Middle Data Analyst / Analytics Engineer to join a fast-growing international technology company operating in the logistics and delivery industry.

The company is expanding its data capabilities and transforming an existing BI infrastructure into a scalable, reliable analytics platform.

You will work closely with the Head of Data and collaborate with Product, Operations, Sales, Finance, and Engineering teams.

This position combines technical data engineering expertise with business analytics, stakeholder communication, and data-driven decision-making.

Tech Stack

SQL, BigQuery, Google Cloud Platform, Dataform, Looker, LookML, Python, ETL/ELT, Data Modeling.

Responsibilities

• Own end-to-end analytics processes for a business vertical.
• Analyze business and product performance, including conversion funnels, customer retention, cohorts, and profitability.
• Develop and maintain data pipelines using Google Cloud Platform and BigQuery.
• Build data transformation workflows and analytical models with Dataform.
• Design and maintain semantic data models and business dashboards in Looker.
• Ensure consistency of KPIs and business metrics across departments.
• Investigate discrepancies between operational reporting and financial data.
• Present analytical findings and actionable recommendations to business stakeholders.
• Support the expansion of analytics infrastructure into new markets.
• Document analytical processes, data models, and pipelines.

Requirements

• 3+ years of commercial experience as a Data Analyst, Analytics Engineer, or Data Engineer.
• Advanced SQL skills and strong understanding of data modeling.
• Hands-on experience with BigQuery and Google Cloud Platform.
• Practical experience with Dataform.
• Experience with Looker/LookML or comparable BI platforms.
• Strong understanding of ETL/ELT processes and data pipelines.
• Python skills for data analysis and automation.
• Experience with product and business analytics: funnels, cohorts, conversion, retention, and profitability.
• Ability to translate complex datasets into actionable business insights.
• Strong stakeholder management and presentation skills.
• Good command of English.

Nice to Have

• Experience with GCP Pub/Sub, Cloud Run, Cloud Storage, or Datastream.
• Knowledge of Terraform and Infrastructure as Code.
• Experience with geospatial analytics or BigQuery GIS.
• Familiarity with applied machine learning and anomaly detection.
• Experience with AI-powered analytics, LLMs, or conversational BI.
• Background in logistics, e-commerce, marketplaces, or last-mile delivery.

What We Offer

• International product environment.
• Opportunity to influence business decisions through data.
• Ownership of analytics processes and reporting architecture.
• Collaboration with cross-functional teams.
• Remote B2B contract.
• Experience working with modern GCP-based data infrastructure.

Interested? Apply through Djinni and share your CV or LinkedIn profile.

Senior Python Engineer

Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.

About the Opportunity:
We are partnering with an established international product company expanding its technology platform. The engineering environment involves complex microservices, high-performance backend systems, and data processing at scale. The company strongly supports technical ownership, collaboration, and modern engineering practices, including AI-powered technologies.
 

About the Role:
We are looking for a Senior Python Engineer to design, scale, and maintain backend services using Python, cloud technologies, and distributed systems. In this hands-on position, you will own technical solutions across the entire delivery lifecycle and influence key engineering decisions.

A core focus of this role is the practical use of AI coding assistants and agents in your daily workflow to drive development efficiency and code quality. While backend engineering is the primary focus, flexibility to occasionally assist with infrastructure or frontend tasks is appreciated.
 

Key Responsibilities:

• Design, build, and maintain Python microservices (FastAPI) and public/internal APIs.
• Optimize distributed data flows, service-to-service communication, and messaging systems.
• Integrate production AI features (LLMs, prompt-based workflows, AI agents).
• Drive system reliability, performance, observability, and automated testing.
• Participate in architectural discussions, code/design reviews, and cross-service delivery.
   

Requirements:

• 5+ years of backend engineering experience with Python.
• Solid understanding of microservices, distributed systems, and API design.
• Hands-on experience with AWS (managed services) and Docker.
• Experience with asynchronous messaging (e.g., RabbitMQ, SQS, Kafka) and caching systems.
• Daily, intensive use of AI development tools/agents as an integral part of your workflow.
• Strong ownership mindset, ability to work independently, and Upper-Intermediate+ English.
   

Nice to Have:

• Hands-on experience with LLM integrations (Bedrock, OpenAI, Anthropic).
• Knowledge of Kubernetes and CI/CD pipelines.
• Background in Cybersecurity, Big Data, or graph-based modeling.
• Secondary experience with Frontend (especially Angular).
   

What We Offer:

• Fully Remote work model + powerful workstation (and co-working access if needed).
• 20 business days of paid vacation + national holidays.
• Full legal and accounting support.

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.

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 Python
  - 2+ years of PySpark experience
  - 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

 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
 

Who We Are

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.
 

About the Opportunity

Our client is an international product company focused on advancing its technology platform and building innovative, scalable solutions.

The platform brings together multiple interconnected services, requiring robust architecture, seamless integrations, and efficient data processing. The engineering team tackles complex backend challenges, enhances existing functionality, and develops new capabilities while maintaining high standards of performance and reliability.

The company fosters a collaborative, ownership-driven engineering culture and actively integrates AI-powered technologies to streamline development and support ongoing product innovation.
 

About the Role

We are looking for a skilled Senior Python Engineer to join an international product development team.

In this hands-on role, you will design, build, and maintain backend services, enhance existing functionality, and develop new product features using Python, modern frameworks, cloud technologies, and distributed systems.

You will have the opportunity to influence architectural decisions, participate in technical discussions, and take ownership of solutions from design to production.

A key part of this role is the active use of AI-assisted development tools and coding agents. We are looking for someone who already uses these technologies extensively in daily development to accelerate delivery, solve engineering challenges, and maintain high code quality.

While the main focus is backend engineering, we value a flexible mindset and a willingness to occasionally contribute to frontend or infrastructure-related tasks.
 

Key Responsibilities

• Design, develop, and maintain scalable Python backend services and FastAPI-based microservices.
• Build and enhance APIs, internal service communication, and external integrations.
• Optimize distributed systems, asynchronous messaging, and data processing workflows.
• Participate in architecture discussions, technical reviews, and feature development.
• Develop and support AI-powered functionality, including LLM integrations and prompt-based workflows when applicable.
• Ensure high standards of performance, scalability, testing, observability, and reliability.
• Troubleshoot production issues, resolve defects, and improve existing services.
• Collaborate across teams and repositories to deliver complex technical solutions.
• Integrate AI-powered coding tools into daily development and help shape best practices for their effective use.
   

Required Skills & Experience

• 5+ years of professional Python backend development experience.
• Strong knowledge of microservices architecture and distributed systems.
• Proven experience building enterprise-level web services with FastAPI, Django, or similar Python frameworks.
• Hands-on experience designing APIs, building integrations, and implementing service-to-service communication.
• Experience with asynchronous messaging technologies, such as Kafka, RabbitMQ, AWS SQS, or equivalent solutions.
• Practical experience developing, deploying, and maintaining cloud applications using AWS and its managed services.
• Experience with Docker and containerized environments.
• Strong practical experience with AI coding tools and agents, actively used as part of everyday software development rather than occasional assistance.
• Ability to work independently, make technical decisions, and take full ownership of features from design to delivery.
• Excellent English communication skills.
   

Nice to Have

• Experience integrating LLMs, AI models, or AI-powered features into production applications.
• Familiarity with Kubernetes, CI/CD pipelines, and modern deployment workflows.
• Experience building data-intensive applications and processing large volumes of information.
• Frontend development experience, particularly with Angular.
• Exposure to cloud infrastructure, deployment automation, or platform engineering.
• Previous technical leadership experience or an interest in growing into a leadership role.
   

Why Join Us?

• 20 days of paid vacation annually, plus official public holidays in your country of residence.
• Full accounting and legal support in all countries where we operate.
• Fully remote work with a powerful workstation and access to a co-working space if needed.

Who We Are

Adaptiq is a technology hub that builds, scales, and supports R&D teams for high-growth product companies across a wide range of industries.
 

About the Opportunity

We are partnering with an established international product company that is expanding its engineering capabilities and continuing to invest in the development of its technology platform.

The company operates in a complex technical environment. Its engineering teams evolve products, improve existing functionality, and develop new capabilities that support long-term business and technology goals.

The platform comprises multiple interconnected services and components that require efficient communication, reliable integrations, and scalable architecture. The engineering challenges include solving complex backend problems, processing information from multiple sources, and maintaining high standards of performance, reliability, and maintainability.

The company values technical ownership, collaboration, and modern development practices. This includes adopting AI-powered technologies to improve engineering workflows and enable product innovation.

About the Role

We are looking for an experienced Senior Python Engineer to join an international product engineering team.

This is a hands-on role focused on designing, developing, and maintaining backend applications and services, improving existing systems, and delivering new functionality.

You will work primarily with Python, modern backend frameworks, cloud technologies, and distributed systems. You will participate in technical design discussions, influence engineering decisions, and take ownership of solutions throughout the development lifecycle.

A key aspect of this role is the practical use of AI-assisted development tools and coding agents. We are looking for an engineer who has already incorporated these technologies into their daily workflow and can use them effectively to improve development efficiency and code quality.

Although backend development is the primary focus, we value a flexible mindset and an openness to occasionally contributing to adjacent technical areas, including frontend development and infrastructure.

Key Responsibilities

• Develop and maintain Python backend services, including microservices built with FastAPI.
• Design and evolve APIs for internal services and external integrations.
• Improve the reliability and scalability of service-to-service communication, messaging, and data flows.
• Contribute to architectural decisions, design reviews, and the delivery of new features.
• Build and maintain production AI-powered functionality, including LLM integrations and prompt-based workflows where relevant.
• Improve testing, observability, performance, and operational reliability.
• Investigate defects and maintain existing functionality throughout the development lifecycle.
• Collaborate across teams and repositories to deliver changes spanning multiple services.

• Use AI-assisted coding tools in daily development and help establish effective practices for their use.

   

Required Competencies and Skills

• 5+ years of professional backend development experience with Python.
• Strong understanding of distributed systems and microservices architecture.
• Solid experience developing enterprise-grade web services with Python frameworks such as FastAPI, Django, or similar.
• Hands-on experience designing and developing APIs, integrating services, and implementing service-to-service communication.
• Experience with asynchronous messaging systems such as Kafka, RabbitMQ, AWS SQS, or similar technologies.
• Practical experience building, deploying, and maintaining cloud-based applications on AWS, including the use of managed services.
• Experience working with Docker and containerized environments.
• Extensive hands-on experience with AI-powered development tools and coding agents as an integral part of the daily software development workflow—not merely as occasional assistants.
• Ability to work independently, take ownership of technical decisions, and drive tasks from design through implementation and delivery.
• Excellent English communication skills.

Nice to Have

• Experience implementing AI-powered application functionality, integrating LLM-based solutions, or working with AI models.
• Familiarity with Kubernetes, CI/CD pipelines, and modern deployment practices.
• Experience developing and maintaining data-intensive applications or services that process substantial volumes of information.
• Exposure to frontend development, particularly Angular, alongside strong backend expertise.
• Experience contributing to cloud infrastructure, deployment automation, or other platform-related improvements.
• Previous technical leadership experience or an interest in gradually taking on responsibilities beyond individual contribution.

Why Join Us

• 20 days of paid vacation per calendar year, in addition to the official public holidays of your country of residence.
• Full accounting and legal support in every country where we operate.
• A fully remote working model, with a powerful workstation and access to a coworking space when needed.

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!

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.