Jobs Python

Short-term contract · Competitive salary · Remote
 

Looking for an Algorithm Research Engineer for a machine automation project. Project details are shared with shortlisted candidates only.

Hard skills:

• Algorithms and data structures. Graphs (traversal, topological sort, MST, cycle detection), heuristic and combinatorial optimization (greedy, local search, 2-opt), spatial indexing, complexity analysis.
• Advanced mathematics. Calculus; interpolation (splines, smoothing, resampling); approximation theory (error bounds, simplification); regression analysis (least squares, PCA, fitting noisy measurements); optimization (constrained and heuristic).
• Computational geometry. Polygon operations, offsetting, distance transforms, skeletonization, robustness on degenerate input.
• Python. Strong, vectorized numeric code; typed, tested, and reviewable.
• LLM and AI tools (required). Daily use for research, prototyping, and test generation, with rigorous verification of every output.

Soft skills:

• Rational, critical thinking: you challenge assumptions, including your own, and separate what is proven from what is assumed.
• You look for failure modes before building and design fallbacks from the start.
• Clear, concise written communication and honest status reporting.
• Independent work on open research problems, and the judgment to narrow scope when needed.
• Discretion with confidential work.

Technology:

• Core: Python 3.12+, NumPy, SciPy, Shapely 2.x, pyclipper, scikit-image, NetworkX, OpenCV.
• Quality: pytest, Hypothesis (property-based testing), ruff, mypy.
• Platform: Docker, PostgreSQL, FastAPI, Git.

Terms:

• Short-term contract, 2-3 months, with possible extension.
• Competitive salary.
• B2B / contractor arrangements welcome.

We partner with startups and enterprises to build products across healthcare, fintech, eCommerce, and AI. For you, this means variety - different projects, fresh challenges, and growth that doesn't stall. No years maintaining one legacy codebase.
 

If you want to grow quickly and work on things that actually ship - keep reading.
 

What You'll Do

• Build and ship features - from small tasks to full modules as you grow
• Write clean code and learn best practices through code reviews
• Work alongside experienced engineers who'll help you level up
• Learn how production apps are built and scaled
• See different products and industries - faster learning curve

What We Work With

⚡ Python, FastAPI, Django, Pydantic, PostgreSQL, uv, Ruff, React, TypeScript, Next.js, Tailwind

Gets You Extra Points

• Familiar with SQLModel, Alembic
• Used AI coding tools (Cursor, Claude Code, Copilot)
• Hands-on experience with any LLM integration
• Basic prompt engineering skills

What You Bring

• Solid understanding of Python and basic React/TypeScript
• Understanding of REST APIs
• Basic experience with SQL databases
• English: Intermediate+
• Willingness to learn and take feedback
   

What You Get

Work & Growth:

• Fully remote, flexible hours
• Structured code reviews
• Senior engineers who help you level up
• English practice sessions

Compensation:

• Salary in USD
• Performance reviews twice a year
• 15 days paid vacation + sick leave

Job Summary
As a Software Engineer, you will analyze and evaluate AI-generated code and technical solutions. You will identify issues, assess the quality of AI responses, finding mistakes, and uncovering reasoning gaps.

Responsibilities

• Evaluate AI-generated code, technical solutions, and engineering approaches.
• Identify bugs, incorrect assumptions, architectural issues, and weak reasoning in AI responses.
• Test and evaluate agentic coding models designed to perform complex engineering tasks at a senior developer level.
• Compare AI-generated solutions against senior engineering standards and best practices.
   

Requirements

• 3–5 years of commercial experience in Backend Development.
• Strong experience with at least one backend technology: Python (FastAPI/Django or similar) or .NET.
• Strong knowledge of REST APIs and backend development.
• Experience with PostgreSQL or other databases.
• Experience working with existing codebases and unfamiliar repositories.
• Experience with Docker and CI/CD.
• Familiarity with cloud technologies such as AWS, Azure, or GCP.
• Upper-Intermediate English (B2).
   

Bonus Points

• Experience with AI/LLM tools or integrations.
• Experience with C#.
   

This is not a traditional software development role. You will use your engineering expertise to analyze AI outputs, find issues in their solutions, and help train better AI systems.

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

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.

We’re expanding our team and looking for a Django/DRF Developer to join Dataforest. If you’re looking for a friendly team, a healthy working environment, and a flexible schedule — you’ve found the right place to send your CV.

You'll be a great fit if you have:

- 3+ years of experience with Django and it's components;

- Experience with RESTful APIs, DRF and related libraries;

- Experience with Celery and async task management;

- Experience with SQL and query optimisation;

- Experience of writing tests;

- Able to work independently and excellent in communicating challenges and issues;
 

Would be a plus:

- Experience with AWS services (EC2, API Gateways, Lambda, SQS);

- Experience with NoSQL databases (Redis, Elasticsearch, etc.);

- Experience of end-to-end implementation for new functionality;

- Experience with payment systems integrations (Stripe, Shopify, Recurly, Paypal, Braintree, etc.);

- Experience with chargeback management tools (Ethoca, RDR, CDRN, etc.);

- Understanding how to handle high load on projects;
 

What you'll do:

- Design, develop and maintain payment gateway and other integrations;

- Design and develop new features and maintain existing functionality.

- Design and develop web applications using Python/Django/Celery.

- Design, develop and maintain RESTful APIs using Django Rest Framework (DRF).

- Write clean and well-structured code that is easy to read and maintain;

- Write and maintain technical documentation.

- Write and maintain unit tests to ensure code quality.

- Optimize and maintain the security, performance, and usability of the applications.

- Collaborate with the PM/Frontend/DevOps/QA and others team members.

We ensure your growth with:

- Great networking opportunities with international clients, challenging tasks;

- Building interesting projects from scratch using new technologies;

- Personal and professional development opportunities;

- Competitive salary fixed in USD;

- Paid vacation and sick leaves;

- Flexible work schedule;

- Friendly working environment with minimal hierarchy;

- Comfortable, spacious and well-equipped office in the city center;

- Team building activities, corporate events.

Overview: Algoseek is seeking a proactive, technically adept Algorithmic Support Engineer to provide first-line support to our institutional clients for our intraday market data feeds for quantitative and algorithmic trading data systems. This role bridges finance, market data and technology — requiring both hands-on technical troubleshooting and a deep understanding of trading concepts, market data, and systematic strategies.

This position serves as an entry point into Algoseek, offering strong performers a pathway to grow into development, data, or quantitative analysis roles.

Role Details:

• Location: 100% Remote (Global Team)
• Job Type: Full-time
• Compensation: Competitive with bonuses and education/technical allowance

Responsibilities:

• Provide responsive technical and functional support for Algoseek’s market data clients using real-time intraday datasets.
• Diagnose and resolve incidents related to market data feeds, APIs, and algorithmic trading infrastructure.
• Communicate complex issues clearly to both technical and non-technical users.
• Collaborate closely with developers, data engineers, and product leads to escalate and troubleshoot system issues.
• Analyze  reported data anomalies and communicate with client.
• Maintain accurate documentation of support procedures, recurring issues, and resolution steps.
• Identify improvement areas and propose automation or analytics-driven enhancements to support operations.

Essential Requirements:

• Strong grasp of systematic, algorithmic, and quantitative trading workflows (ideally intraday).
• Knowledge of US equities, options, or futures markets OR experience with cryptocurrencies / digital assets trading environments.
• Hands-on technical ability: scripting in Python, familiarity with SQL / data analysis.
• Excellent English communication skills, written and spoken.
• Analytical mindset; strong problem-solving and troubleshooting ability.
• Demonstrated curiosity and motivation to learn — this role suits those aiming to move beyond support into deeper technical or quantitative tracks.

Desirable Requirements:

• Experience supporting trading systems, data platforms, or market data vendors.
• Exposure to FIX protocol, market data APIs, or cloud environments (AWS preferred).
• Bachelor’s degree in Computer Science, Engineering, Finance, or a related field.

Work Hours:

• 100% Remote
• Overlap required with US EST morning hours (typically 9 AM – 2 PM EST)

What Success Looks Like

• Accurately resolves 90% of first-level support tickets without escalation.
• Demonstrates consistent improvement in understanding client trading workflows.
• Proactively proposes or implements process improvements that enhance system reliability and client satisfaction.

Why Join Algoseek?

• Work with a leading provider of high-quality market data and trading solutions.
• Collaborate with world-class engineers, researchers, and financial experts.
• Drive innovation in automated trading systems and distributed market data solutions.
• Be part of a remote-first, globally distributed team with a culture of ownership and excellence.

What We Offer:

• Competitive monthly compensation aligned with experience and responsibilities.
• A 100% remote work setup with flexibility for work-life balance.
• An opportunity to contribute to the growth of an innovative, fast-paced market data company.
• Professional development opportunities to help you grow into higher leadership roles.

If you’re a skilled finance professional ready to take the next step in your career, we’d love to hear from you!

Join our project and become part of a global team driving innovation in the energy sector. As a QA Engineer, you will join a product team developing advanced energy applications, including algorithms that determine the state of electrical power networks. You will work closely with software developers, scientists, and Product Management to deliver smarter, greener, and more reliable energy solutions.
 

Requirements:

• Bachelor’s degree in Engineering, Computer Science, or a related discipline
• 5+ years of experience in software quality assurance
• Proven experience in test automation using Python
• Willingness to develop expertise in Power Systems; prior knowledge or experience in this area is a strong advantage
• Knowledge of communication protocols such as OPC, IEC 60870-5-104, MODBUS, and IEEE C37.118 is a strong advantage
• Knowledge of Docker and Kubernetes is an advantage
• Familiarity with BDD testing approaches, including Gherkin notation, is a plus
• ISTQB certification is a plus
• Strong knowledge of QA methodologies, test design techniques, and testing tools
• Understanding of Agile/Scrum methodologies, SDLC, and version control systems such as Git
• Experience with performance, security, or compliance testing is an advantage
• Ability to solve complex technical problems and make decisions that positively impact product quality
• Commitment to safety, integrity, and continuous learning
• Good written and spoken English and communication skills

Job responsibilities:

• Plan and execute comprehensive testing strategies based on business requirements and solution designs
• Design, develop, and execute automated and manual test cases covering functional and non-functional requirements
• Be part of a development team delivering customer-ready solutions
• Integrate automated tests into CI/CD pipelines using Azure DevOps to improve release quality
• Work with physical laboratory equipment to validate real-life scenarios
• Manage test execution and reporting using Zephyr Scale and Azure DevOps
• Collaborate with developers to identify, investigate, and resolve software issues
• Collaborate across teams to continuously improve QA processes and product reliability
• Actively participate in Agile development processes and promote software testing best practices
• Develop domain knowledge in Power Systems to support the full product lifecycle and continuous improvement
• Mentor team members and advocate for quality assurance principles across the organization

We're looking for a Python Backend Developer with a strong algorithmic mindset to join a sea transport logistics project. You'll be working on route optimization — designing and implementing algorithms and calculation models that solve concrete business problems in shipping and freight planning.  

Responsibilities: 

• Implement features and resolve bugs using AI coding tools as your primary workflow 
• Work with geospatial data: coordinates, routes, distance and travel-time calculations, coordinate transformations 
• Integrate and work with mapping / geolocation services (e.g. Google Maps APIs) for geocoding, distance matrices, and route data 
• Use AI coding assistants (Claude Code, Cursor or similar) as a primary part of your workflow to close a high volume of tasks 

• Document the logic behind your solutions so the team can reason about it after you 

   

Requirements: 

• 3+ years of production Python experience with a focus on algorithmic and computational tasks  
• Experience with optimization problems: route optimization, scheduling, resource allocation, or an adjacent class of problem 
• Working knowledge of graph algorithms and algorithmic complexity  
• Experience working with geospatial data (coordinates, distances, GeoJSON or similar) 
• Hands-on experience with optimization libraries — OR-Tools, NetworkX, PuLP, SciPy.optimize 
• Daily working experience with Claude Code, Cursor or similar AI coding tools 
• Upper-Intermediate English or higher 

Nice to Have: 

• Mathematical background: linear programming, combinatorial optimization, operations research, graph theory, statistics 
• Experience with Google Maps Platform APIs (Distance Matrix, Directions, Geocoding) or equivalents 
• Docker, basic cloud familiarity 

• Understanding of multi-agent AI systems 

   

We Offer: 

• Innovation Culture: Work in a team that actively experiments with AI and modern development approaches  
• Flexible workload: full-time or part-time — we're open to both, depending on your availability 
• Generous Time Off: 20 paid vacation days + 15 sick leave days annually  
• Professional Growth: Compensation for courses, certifications, and learning resources  
• Cutting-Edge Tools: Access to premium AI tools (Cursor Pro, Сlaude Code, GitHub Copilot, etc.) 

Recruitment Process: 

1. HR Interview  

2. Technical Interview   

3. Final Interview   

4. Job Offer

We are looking for a Senior Python Backend Engineer to join our Legal Tech engineering team and help build the next generation of AI-driven litigation ecosystem. This role combines top-tier backend engineering, cloud architecture, and cutting-edge LLM/AI innovation.

You’ll build high-scale, secure, multi-tenant services that turn our real-time transcription engine into AI-powered workflows and assistants used by legal teams. The role offers real ownership and chances to lead initiatives, while giving you space to grow your skills in AI development and modern dev-AI tools — all within a supportive, collaborative team.

This role is for people who bring passion, curiosity, and a genuine drive to build something meaningful as part of a strong, mission-driven team.

This is a remote position based in Ukraine. Candidates must have full professional proficiency in English.

What makes Verbit unique?
Verbit turns speech into impact. Our team of 250 professionals builds AI-driven solutions that help the world’s leading organizations get real value from their audio and video content. We serve high-end customers across the Legal, Media and Education markets with a next-generation verbal-intelligence platform that brings AI into the core of their workflows.

Our in-house technology combines advanced LLMs, GenAI capabilities and speech AI to power everything from legal-tech automation and real-time insights to intelligent media and learning workflows. Beyond transcription or accessibility, Verbit provides actionable intelligence: smart summaries, analytics, search, knowledge extraction, legal-deposition insights and more.

With more than 3,000 global customers relying on Verbit — including top law firms, universities, enterprises and media organizations — we’re building the future of how speech data is processed, understood and used.

     If you want to join our journey, you’ll need:

• 7+ years of hands-on backend development experience in a high-scale production environment
• Strong proficiency with Python, REST APIs and Cloud (e.g. AWS, GCP)
• Strong experience designing and building distributed, cloud-native microservices
• Experience with event-driven architectures and asynchronous processing
• Solid understanding of system design, scalability, availability, and performance optimization
  Practical experience using AI-powered development tools (e.g., Cursor, Claude Code)
• A significant advantage if you have practical experience with AI infra, such as: RAG, Agentic frameworks, Langfuse, LiteLLM
  Ability to take ownership and drive projects end-to-end, working proactively and independently and as a team in a fast-moving environment
• Good communication skills and teamwork
  Ability to work efficiently both individually and within a team
• Formal education in relevant fields (CS, Math, Electrical Engineering etc.)
• Experience with large scale SaaS solutions
• Ability to integrate AI/LLM features into backend services (e.g., prompting, embeddings, RAG pipelines, fine-tuning)

It will be even better if you have:

IT Craft is looking for an experienced AI Backend Engineer to join the development of an AI-powered product focused on delivering personalized user experiences. The engineer will take end-to-end ownership of the AI backend, including architecture, implementation, production setup, monitoring, and continuous improvement.

Key Responsibilities:

• Design and evolve production AI architecture covering agent orchestration, routing, tool calling, RAG, memory and structured outputs;
• Select and integrate LLM, speech (STT/TTS) and vision models from different providers, balancing quality, latency, cost and EU data residency;
• Define the data architecture for conversational, nutrition and wearable data to support personalization and a digital twin;
• Translate product requirements into technical solutions and document key architecture decisions together with product owners;
• Develop and extend the Python-based AI backend, including voice pipelines with real-time latency requirements;
• Set up cloud infrastructure, containers, vector stores and model gateways using infrastructure-as-code in collaboration with the DevOps/CI-CD engineer;
• Build integrations for wearable APIs, food databases and image-recognition services;
• Implement user memory and personalization, including adaptation to communication style;
• Set up LLM observability for tracing, token and cost tracking, latency, error rates and alerting;
• Build automated evaluation and regression processes for prompts and agents, including offline evaluations, LLM-as-a-judge and human review;
• Implement guardrails and safety mechanisms for health-related conversations, including escalation logic and hallucination controls;
• Monitor model and prompt performance in production and continuously improve models, prompts and agent behavior;
• Ensure GDPR-compliant handling of sensitive health data (special category data), including EU hosting, encryption, access control, data minimization and deletion;
• Keep the architecture prepared for EU AI Act requirements and the wellness/medical-device boundary (MDR);
• Build the data foundation for personalization, experimentation and future predictive models.

Required Skills:

• 6+ years of experience in software or ML engineering, with at least 2 years of hands-on experience building and running LLM-based systems in production;
• Strong proficiency in Python, with solid SQL and data modeling skills;
• Hands-on experience designing and implementing agentic systems using orchestration frameworks such as LangGraph or similar, including tool calling, structured outputs, RAG, and long-term memory;
• Experience working with multiple LLM providers and model gateways, as well as prompt engineering and context engineering at scale;
• Practical LLMOps experience covering evaluation frameworks, observability, and optimization of cost and latency;
• Experience with Docker, Kubernetes or managed container services, infrastructure-as-code, and CI/CD;
• Good understanding of security and data protection requirements when working with sensitive personal data;
• Ability to independently own architecture decisions and collaborate effectively with product and engineering teams;
• Strong written and spoken English (Upper-Intermediate+ / Advanced).

Nice to have:

• Experience with real-time voice AI, including streaming STT/TTS, speech-to-speech models, and latency optimization;
• Experience working with health, fitness, or wearable data, including time-series data and APIs such as HealthKit / Health Connect;
• Experience with personalization, recommendation systems, A/B testing, and statistics;
• Experience with vision models for food recognition;
• Experience in regulated environments such as GDPR Art. 9, EU AI Act, MDR or ISO 27001.

IT Craft offers:

• Competitive compensation according to the qualifications.
• Flexible working hours, remote work;
• Opportunity for career growth;
• Reward for sport activities;
• In-house English training;
• A friendly team of open-minded people.

Please send your CV!

By submitting your application, you consent to the processing of your personal data in accordance with IT Craft's Privacy Policy, available at https://itechcraft.com/datenschutz/.

We are looking for an experienced Backend Developer / Test Developer with strong Python skills to join the team and contribute to the development of a common web-based project layer for roadside measurement systems.

The goal of the stream is to develop a reusable HMI and API architecture that can serve multiple roadside products and measurement systems, with only minor adaptations and extensions required for different platforms.

The HMI will provide a modern, touch-friendly, web-based user interface with harmonized workflows and a recognizable design across products. The solution will be designed to support different application types and measurement systems while maintaining scalable client performance, including under bandwidth-constrained conditions.

The role has a strong focus on the backend/API layer and automated testing, ensuring reliable data flow from HMI interactions through the API Gateway and service layer to the Shire backend services.

Key Responsibilities:

• Develop and maintain backend modules, utilities, and automated testing solutions using Python.
• Develop and maintain automated API and integration test suites covering application-layer endpoints.
• Test and validate GraphQL and RESTful/gRPC APIs, including schemas, queries, mutations, subscriptions, and service interactions.
• Verify end-to-end data flow from HMI user interactions through the API Gateway / Service Layer to Shire backend services.
• Validate API contracts, data structures, and schema consistency across system components.
• Develop integration, regression, and contract tests to ensure reliable communication between HMI and backend services.
• Integrate automated tests into CI/CD pipelines, working closely with DevOps and development teams.
• Perform root-cause analysis of system failures at the protocol, logging, and container levels, rather than limiting investigations to UI-level issues.
• Work with embedded systems and target hardware in Jenoptik office/lab environments, including via VPN or remote access.
• Investigate communication and integration issues involving ROS middleware, embedded systems, and roadside hardware.
• Work closely with Lead Frontend Developers to ensure reliable integration between the web-based HMI and backend services.
• Collaborate with DevOps to integrate API sanity checks, regression testing, and automated validation into Jenkins / GitLab CI pipelines.
• Support the development of a modular architecture that can be reused across multiple measurement systems with minimal adaptations.
• Contribute to troubleshooting and continuous improvement of the overall HMI/API solution.

Python & Backend Development

• Strong professional experience with Python.
• Experience developing backend modules, utilities, and automation frameworks.
• Good understanding of backend application architecture and service-based systems.

API & Communication Technologies

• Strong experience with GraphQL, including:
  • Schemas
  • Queries
  • Mutations
  • Subscriptions
• Experience with RESTful and/or gRPC APIs.
• Understanding of API contracts, data structures, and service-to-service communication.

Automated Testing

• Strong experience with PyTest.
• Experience developing integration and API tests.
• Experience with contract testing and end-to-end testing.
• Experience integrating automated tests into CI/CD pipelines.
• Practical experience with GitLab CI and/or Jenkins.

Embedded & System Environment

• Working knowledge of ROS / Robot Operating System and middleware protocols used for communication with embedded/roadside hardware.
• Good understanding of Linux, including shell scripting and system troubleshooting.
• Experience working with Docker containers, particularly in embedded or constrained environments.
• Ability to troubleshoot issues across multiple system layers, including protocols, logs, containers, APIs, and backend services.

System & Architecture Understanding

• Ability to understand the system holistically from end to end, including:
  HMI Web Interface → API Gateway / Service Layer → Shire Backend Services
• Ability to analyze dependencies and data flows across different application layers.
• Understanding of modular and reusable software architectures.

Nice to Have

• Experience working with roadside systems, traffic management, or measurement systems.
• Experience interacting directly with physical target hardware in laboratory or development environments.
• Experience with ROS2 and related middleware.
• Experience with performance and reliability testing under bandwidth-constrained conditions.
• Experience working with web-based HMI systems or touch-friendly interfaces.
• Familiarity with frontend technologies and modern web application architecture.
• Experience with embedded Linux environments.

Project Description:

Our Client is on a mission to build the IPO process support of the future and we're looking for the passionate collaborators, innovators, advisors, and leaders who can get us there.
As a Python developer you will assist Client's digital technology team in defining, developing, and extending the architecture of front-end client solutions to support our brand websites.
Your subject matter expertise in front-end web development utilizing Python, HTML, CSS, JavaScript, Angular development framework will help us optimize and enhance our web capabilities and help us serve our client's needs more effectively.

Responsibilities:

• Continuous Improvement & Collaboration- Share your best practices and coding knowledge at all times to help enhance existing processes and technologies, improving documentation, maximizing learning on the team, and encouraging process optimization.
• Design software solutions by interacting with managers and peers to understand requirements.
• Develop solutions that are in line with the client's technology biases, deliver efficiency and scalability, and enable new trading activities.
• Provide knowledge transfer to team members and support staff through application demos, walkthroughs, and documentation.

Mandatory Skills Description:

• 7+ years of proven IT experience
• Hands-on Python experience
• Great communication skills
• Expert knowledge of OOP and OOD.
• Ability to work in a fast-paced, intellectually challenging environment.
• Experience with FastAPI, Pydantic, PyMongo, Docker, Linux and shell scripting
• Nice to have experience with Azure and Azure CLI
• Experience working in MongoDB or other No-SQL DBs
• Great communication skills
• Ability to work in a fast-paced, intellectually challenging environment

Nice-to-Have Skills Description:

• Knowledge of Angular
• MyPy experience

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. 

About the Project:
Team works on a globally distributed ad serving system that handles hundreds of billions of requests a day. You have the opportunity to take on project initiatives to improve the confidence, stability and delivery of our systems, tackle hard technical challenges, and contribute to a team of passionate individuals.

Today, our automated advertising platform is used by the world’s leading publishers and applications to transact with top brands around the globe enabling them to reach more than 1 billion consumers. The client  operates the largest independent Display Advertising Exchange and Supply Side Platform that automates the buying and selling of Display Advertising across all formats (banner, video) on all devices (desktop browsers, mobile devices, billboards). The client auctions over 20 Billion Ads on a daily basis in real time in less than 1/2 of a second each. It's a publicly traded company (NYSE: RUBI) headquartered in Los Angeles, California, USA.

Job Responsibilities

• Be responsible for designing and implementing build and test infrastructure, creating and enforcing good engineering practices, and evaluating product quality for various external and/or internal products
• Work on problems in a number of areas, including application performance.
• Build out our automated testing infrastructure to help us build reliable, scalable, high-quality products and services
• Participate in design and implementation of test infrastructure to support building and moving services into a Continuous Deployment environment
• Conduct research and create Proof of Concepts on new testing technologies/tools/concepts
• Design test strategies by analyzing and dissecting complex heavily integrated software systems
• Work collaboratively with fellow SDETs and developers to design, build and maintain a scalable, maintainable and flexible automation test framework
• Investigate root cause of issues to assist with finding the most comprehensive and robust solutions
• Collaborate closely with product, project and development teams to identify and resolve technical, business, and process related issues
  
  Requirements:
• 4+ years coding experience in Python along with experience in scripting languages.
• 4+ years of hands-on experience in software QA and test automation.

  Experience with RDBMS (MySQL, PostgreSQL), native SQL

• Experience with API testing (API smoke, regression, and end-to-end tests, including behavior-driven frameworks (Gherkin/ Cucumber/ behave or similar) and structured payload/ response validations (JSONPath, XML/ schema validation))
• Experience with backend testing (Solid understanding of backend and service testing, with a focus on performance, scalability, and security)
• Experience working with and configuring CI/CD (e.g., GitHub Actions, Jenkins)
• Experience with Kafka, Kinesis or similar streaming systems

  Experience with Linux.

• Shifted working hours 12pm till 9pm EEST timezone
  
  
  Nice to Have:
• Experience with agentic software development.
• Experience with Ad-serving protocols (VAST/VMAP, OpenRTB) or willingness to ramp quickly — most test scenarios validate VAST XML and OpenRTB bid/response structures directly)
• Hands-on experience with AWS services for deploying, testing, and monitoring applications in cloud environments.
• Exposure to browser-based UI test automation (Playwright, Cypress, or similar)
• Comfortable reading server-side code (Java or similar) to support root-cause analysis, even when not authoring in that language.