Jobs Python

Customer is one of the biggest companies on the market of home entertainment consumer electronics devices that strives to provide their clients with high-quality products and services.

This position collaborates with a geographically diverse team to develop, deliver, and maintain systems for digital subscription and transactional products across the Customer’ SVOD portfolio.

Requirements:

• 2+ years in IT sphere  (SRE/OPS/TechSupport/DevOps/Engineering)
• 2+ years in Python experince (v3.11+)
• Experience with AWS Lambda
• Experience with Microservices
• Good troubleshooting skills
• Good communication skills
• Intermediate level of English, both written and spoken
• Willing to automate work processes (tech part – observability, routine tasks, etc.

Will be a plus:

• Experience in SRE
• Node.JS
• Expereince with Quality of Experience (QoE) or Quality of Service (QoS) metrics

Job responsibilities:

• Use SRE basics: reliability, monitoring, troubleshooting, and fixes/workarounds
• Be a person to contribute within SRE team in the company, develop and integrate processes, work closely with multiple teams
• Build automation on AWS Lambda (Python 3.11+ / Node.js 20+) and micro services (Flask / FastAPI)
• Create AI/Agentic automation (Copilot-style) for huge workflows including using local LLMs
• Write scripts and services in Python and Node.js for SRE tasks (tune and configure existing SRE tasks)
• Be ready to automate and improve/create from scratch new workflows for efficient monitoring/troubleshooting
• Work with high-load systems and process/parse data for automation

The US based content management and marketing data analysis platform which allows SEO/SMM agencies and their customers to have full control over content planning, collaborative development and publishing to production. It also provides full visibility of content impact on a web site ranking in a real time via massive data collection, aggregation and reporting.

Dev stack you will use:

• Python 2.7 (migrating to 3) Flask
• SQL Alchemy
• PostgreSQL
• Cloudflare Workers
• GCP, AWS

What you will do:

• Build, maintain and refactor backend services using Python.
• Develop asynchronous workflows for data ETL processes. 
• Improve PostgreSQL DB layer: query optimisation, DB structure, service reliability, and parallel execution
• Design and support REST APIs used by frontend and internal services
• Add monitoring, logging, and basic observability to keep the platform healthy

How to work with us:

• Small product team (5 US-based, 1 in EU)
• Agile workflow and Kanban methodology
• Communication over Slack, Zoom in English
• 2 hours daily overlap with MST time zone (10:00-19:30 CET)

What we expect from you:

• 4-6 years of production experience with Python (backend and data‑intensive systems - data ETL flows)
• Strong PostgreSQL fundamentals, query optimisation, and migration.
• Good experience with SQLAlchemy;
• Experience designing background jobs, async tasks, and fault-tolerant workflows;
• Experience integrating with third-party APIs (REST, webhooks, OAuth, background syncs)
• Strong English & communication skills (B2 or hier) 
• A mindset to solve problems, not tasks and testing skills. 
• Big plus: previous experience with SEO, AdTech, or marketing-related products
• Big plus: previous experience with data ETL and Cloudflare Workers

What we offer (besides a motivating salary):

• Working format: fully remote
• Working hours: 10:30 - 19:30 CET (2 hours overlap with MST daily)
• Assignment: full-time, long-term
• Ability to influence the product roadmap
• No overtime - healthy work-life balance
• No rush - we thoroughly plan our work. 

• Compensation: B2B contract with an hourly rate in USD + PTO of 15 working days/annual

   

Our interview process:

• 20m interview with one of our Talent Team Partner
• 30m interview - Tech Screening with our Engineers
• 1h interview - Tech Deep Dive with customer Engineers 
• 30m offer discussion

We are hiring a Senior Full Stack Engineer for an Israeli AI company building a cloud-native platform for AI-powered video adaptation at scale. The product enables media companies, marketing teams, and creators to localize video content into any language with natural-sounding dubbing, expressive lip sync, and context-aware translation - all fully automated and production-ready.

The platform runs a proprietary AI dubbing pipeline across translation, voice synthesis, and visual lip correction, and delivers polished output through an enterprise studio interface and a developer API. Clients include TED, NBA, and Wix. The system handles everything from single creator clips to enterprise batch workflows across thousands of videos, integrated into broadcast-grade and marketing production pipelines.

The backend is built on async Python and FastAPI, processing real-time audio and video streams. The frontend is a React and TypeScript studio where translators, QA teams, and enterprise clients review, fine-tune, and publish dubbed content. Infrastructure runs on AWS with Kubernetes and Docker. The product is live, growing fast, and operating at a scale that makes every engineering decision matter.

In this role you will own features end-to-end across the full stack, working directly with the core AI and video engineering teams to build the interfaces, services, and pipelines that make complex media processing feel simple and reliable.

Responsibilities

- Take ownership of complex features end-to-end, from backend services to frontend

- Design and implement scalable backend services and APIs in async Python and FastAPI

- Build and maintain the React/TypeScript studio frontend

- Work closely with advanced video and AI algorithm teams

- Own features from architecture through production deployment

- Optimize for performance, reliability, and latency in a media-heavy, real-time environment

- Mentor engineers and drive engineering best practices across the team

Tech Stack

- Async Python, FastAPI, AWS, Kubernetes, MongoDB, Redis, React, TypeScript, real-time video/audio in the browser

Requirements

- 5+ years of experience as a full stack engineer

- Strong full stack engineer who can drive complex technical tasks independently

- Product-minded - able to translate product needs into solid technical solutions

- Comfortable working across Python backend, cloud infrastructure (AWS / Kubernetes), and frontend stack (React, TypeScript)

- Experience integrating complex algorithms or data pipelines into production systems

- Fluent English and strong communication skills

Nice to Have

- Deep knowledge of video technologies (e.g. FFmpeg, codecs, streaming, media pipelines)

This is a long-term opportunity to work on technically serious problems - media AI, real-time processing, and enterprise-grade infrastructure - at a company trusted by some of the world's leading media and tech brands, and growing across every market it enters.

Description

The groundbreaking model for in-home care and support has given us the inspiration to create our new technology solution. Through a HIPAA-compliant platform that is intuitive and user-friendly we will enhance and empower care and communication between caregivers and their extended care team to improve outcomes and quality of life.

Requirements

3+ years of commercial experience as a software engineer
Backend development with Python or Golang
Experience with modern frontend frameworks (Ember.js, React, Vue, Angular)
Knowledge and hands-on experience with DB
Experience with Restful APIs and Microservices
Github Actions and general CI/CD experience
Strong commitment to master Ember.js framework and other required technologies
Upper-intermediate English level
Unit testing experience

Nice to have:

Experience with Amazon Web Services is a plus
Experience with Linux, Docker, Kubernetes
Very good communication skills – work with global distributed team
Strong analytical and problem solving skills, proactive and innovative

Job responsibilities

• Design, develop, and maintain full-stack web applications
• Implement RESTful APIs and integrate with relational databases
• Participate in the analysis, diagnosis and troubleshooting issues and defects
• Collaborate with cross-functional teams to deliver scalable, secure solutions
• Ensure application performance, security, and code quality through best practices and code reviews
• Participate in troubleshooting, debugging, and continuous improvement efforts

Senior Python Engineer (AI-driven Recommendation Platform, iGaming domain)

About the Product

We are developing an AI-powered performance optimization platform for online casinos and sportsbooks. The solution helps operators improve key business metrics by increasing player engagement and loyalty through personalized recommendations and predictive analytics.

The platform collects and processes player behavior data across multiple systems, builds detailed user profiles, and generates actionable insights, including:

• identifying players who misuse bonus programs without long-term retention
• detecting patterns of risky or excessive gaming to support responsible play
• recommending relevant games and activities based on user preferences and behavioral history

You will join a team building scalable recommendation systems, working with large volumes of data, and implementing ML-driven personalization to enhance user experience within iGaming products.

Requirements

• 5+ years of backend development experience with Python
• Strong foundation in mathematics, statistics, or computer science
• Hands-on experience with FastAPI, Django, or Flask
• Solid knowledge of data structures, algorithms, and distributed systems
• Experience with SQL and NoSQL databases (PostgreSQL, Redis, DynamoDB, MongoDB, etc.)
• Practical experience with Kafka or RabbitMQ and asynchronous architectures
• Cloud experience with AWS (Lambda, S3, RDS, SQS, etc.)
• Experience designing and maintaining high-load, scalable systems
• English level — B2 or higher

Nice to Have

• Experience with recommendation systems, data analysis, or ML-based personalization
• Understanding of data pipelines and ETL processes
• Experience with Kubernetes, Docker, and CI/CD pipelines
• Familiarity with Elasticsearch and monitoring/visualization tools (Grafana, Kibana)

Responsibilities

• Design and develop scalable backend services for AI-powered recommendation systems
• Collaborate with data scientists and ML engineers to deploy models into production
• Optimize data storage, processing, and retrieval for large-scale user datasets
• Ensure system reliability, performance, and scalability
• Take part in architectural discussions, code reviews, and mentoring
• Contribute to new features aimed at increasing player engagement and retention

Tech Stack

Python, FastAPI, Django, Flask, Kafka, RabbitMQ, PostgreSQL, Redis, DynamoDB, AWS (Lambda, S3, RDS, API Gateway, CloudWatch), Kubernetes, Pandas, NumPy, SQLAlchemy, Celery, Elasticsearch, Prometheus, Grafana.

As a Tech Support Developer, you will act as a high-level technical escalation point. You’ll spend your time investigating complex issues that require reading (and occasionally writing) code to solve. You are a developer by trade but a problem-solver by nature.

Key Responsibilities

• Deep-Dive Troubleshooting: Investigate complex technical issues reported by users by analyzing logs, querying databases, and reviewing application code.
• Bug Resolution: Identify, reproduce, and document software bugs. You will submit pull requests for hotfixes and minor improvements to the production codebase.
• Tooling & Automation: Build internal scripts and dashboards (Go, Python, or Node.js) to automate repetitive support tasks and monitor system health.
• Technical Advocacy: Translate "user-speak" into actionable technical requirements for the product and engineering teams.
• Documentation: Maintain a robust internal knowledge base regarding system architecture and common technical workarounds.

Technical Profile

• Code Literacy: Proficiency in at least one major language (e.g., C, Go, or Java) with the ability to navigate large, unfamiliar codebases.
• Systems Thinker: Strong understanding of how different components (APIs, databases, and front-end) interact.
• SQL Mastery: Ability to write complex queries to extract data and diagnose state-related issues.
• Optimization Mindset: An interest in performance—you don't just want it to work; you want it to work efficiently.
• Communication: The ability to explain a "race condition" or a "memory leak" to a non-technical stakeholder without losing them.

Why Join Us?

We value technical curiosity and "under-the-hood" knowledge. You’ll have the autonomy to improve our internal systems and a direct impact on the stability of our product.

About us

Syndicode is a value-driven software development partner with a globally distributed team of engineers, designers, architects, and IT managers. We are united by the mission to provide our clients with software products and services that perform, look, and work as designed. 

We believe that our people and culture sustain Syndicode’s success. Our team is unified by shared principles like: Accountability, Involvement, Excellence, Visibility, Integrity, Innovation, Win-Win, and Flexibility. Syndicoders are professionals who pursue self-improvement through continual learning, are eager to introduce improvements to work processes, and can analyze a variety of sources to make sound, timely decisions.

If it sounds like you, apply to our jobs and become a new Syndicoder!

 
About the role

As a Python Team Lead, you will be responsible for the backend architecture that supports the mobile application. You will lead the development team, make critical architectural decisions, ensure high availability and performance of APIs used by mobile apps, and promote technical excellence throughout the project.

What you’ll be doing

• Lead and manage a cross-functional engineering team of  back-end, web, or mobile developers
• Own technical architecture decisions and drive the overall backend and API strategy
• Define development standards, code review processes, and testing practices across the team
• Coordinate work between backend and client engineers to ensure seamless API contracts and integration
• Hands-on contribution to critical backend services and infrastructure using Python (FastAPI/Django)
• Build and optimize scalable, service-oriented systems supporting real-time features
• Ensure platform security, GDPR compliance, and audit logging
• Mentor and grow engineers technically and professionally, fostering a culture of ownership and quality 

What you’ll need

• 6+ years of professional software development experience, with strong Python backend expertise
• 2+ years of experience leading or managing engineering teams
• Proven experience building and shipping products that span web and mobile platforms
• Deep understanding of RESTful API design
• Strong experience with relational databases (PostgreSQL), data modeling, and query optimization
• Experience with cloud platforms (AWS or GCP), containerized deployments (Docker, Kubernetes), and CI/CD pipelines
• Familiarity with mobile development workflows, release cycles, and platform-specific constraints
• Solid understanding of testing strategies (unit, integration, e2e) and quality assurance practices across backend and mobile
• Experience with event-driven architectures, message queues (Redis, RabbitMQ, or Kafka)
• Strong understanding of asynchronous programming (asyncio, async/await) and concurrency patterns in Python
• Strong understanding of authentication, authorization, and security best practices
• Excellent communication skills with the ability to align technical and non-technical stakeholders

Nice to have   

• Experience with AI/ML integration, vector databases (Pinecone, Weaviate, pgvector), or recommendation systems
• Experience with NoSQL or non-relational databases (MongoDB, DynamoDB, Cassandra, or similar)
• Hands-on experience with or close collaboration with teams building client applications (React, React Native, Flutter, Next.js, or similar web/mobile frameworks)
• Experience with real-time systems (WebSockets, live streaming, push notifications)
• Background in marketplace, e-commerce, or content-driven platform engineering
• Experience with multi-language/localization systems
• Exposure to tax/VAT compliance logic or fintech-adjacent workflows
• Experience scaling teams and processes during rapid growth phases
   

What you’ll get at Syndicode

• 15 days of vacation, 11 days off for holidays, and 20 sick leave days per year
• Fully remote job
• Educational support
• Internal tech meetups
• Continuous feedback within teams and departments
• Top-notch team 
• Ability to participate in decision-making and bring new ideas
• Self-management: opportunity to manage your time and plan your activities
• Dynamic fast-growing environment: we react and adapt quickly to the world and market changes.

About Us
Webugol is a global digital marketing agency that empowers brands through omnichannel strategies. We are passionate about providing custom digital marketing solutions to our clients. Now we’re building a next-generation AI automation platform that helps digital marketers launch, optimize, and scale campaigns with unprecedented speed and precision. From smart data pipelines to real-time decision-making, we’re pushing the limits of what automation can do in the ad tech space.

We’re looking for a talented Python Developer to join our onsite team and work directly with the CEO to bring our core product vision to life.

Your Role
As our backend developer, you will:

• Develop and maintain FastAPI-based services powering our automation engine
• Build scalable async operations using asyncio (Python 3.10+)
• Manage and optimize PostgreSQL schemas and queries
• Integrate with major advertising APIs (Google Ads, Meta, etc.)
• Collaborate closely with the CEO on product features, strategy, and architecture
• Own key components of the platform and help shape the roadmap
• Contribute to a fast-moving, product-driven team onsite

What We're Looking For

• Core: Strong experience with Python 3.10+ and deep understanding of asyncio for building high-performance asynchronous applications.
• Frameworks: Experience with FastAPI and Pydantic (v2).
• Databases: Solid experience with PostgreSQL, including writing complex queries, optimizing performance, and schema management.
• ORM: Familiarity with Tortoise ORM is a big plus. Experience with SQLAlchemy or Django ORM is also valuable.
• Migrations: Proficiency with Aerich or Alembic for database migrations.
• Testing: Experience writing tests using Pytest to ensure code quality and reliability.
• Infrastructure: Experience working with Docker, CI/CD pipelines for automating deployments.
• Background Tasks & Scheduling:
  • Experience with background task management using tools like Redis, RabbitMQ, or Taskiq (ideal, or Celery as a fallback).
  • Understanding of scheduling tasks with Cron Jobs for data synchronization and periodic operations.
• External APIs: Experience working with Google Ads API, Google API Client, and Webhooks. Familiarity with other external APIs is an advantage.
  • Understanding of error handling, retries (using Tenacity), rate limiting (e.g., Leaky Bucket), and timeout management.
• System Design: Solid understanding of building modular systems, designing database structures, data flows between services, and queuing systems that scale efficiently.
• OOP & Clean Code: Knowledge of SOLID, DRY, and KISS principles. Experience implementing design patterns such as Strategy, Repository, and Factory.

Nice to Have:

• NoSQL: Experience with MongoDB.
• AI Integration: Experience working with OpenAI API, LangChain, or OpenRouter.
• Cloud Infrastructure: Familiarity with AWS, GCP, S3, or DigitalOcean.

Why Webugol?

• A fast-paced, collaborative environment with direct impact on the product
• Opportunity to work with cutting-edge technologies in the AI and ad-tech space
• Flexible working environment
• Competitive salary and benefits package
   

If you're passionate about backend development, automation, and building scalable systems, we'd love to meet you. Apply now to be a key player in shaping the future of digital marketing automation at Webugol.

Project Description:
We are developing a cybersecurity assessment platform that analyzes how well data and systems are protected and whether they comply with international security standards.
The platform is built using modern technologies — Python, FastAPI, SQLAlchemy, TypeScript, React, AWS, and Docker — and follows a microservices architecture with a strong focus on asynchronous processing and scalable cloud deployment.
We are now looking for a Python Developer to join our friendly team and contribute to building reliable, high-performance services.
 

Required skills:

- 1+ years of hands-on experience with Python (FastAPI) and JavaScript/TypeScript (React);

- Experience with cloud technologies, especially AWS (CloudWatch, Lambda, EC2, ECS, etc.);

- Strong understanding of API design, management, and integration concepts;

- Solid experience with ORM frameworks, particularly SQLAlchemy;

- Experience writing and maintaining unit and integration tests using Pytest;

- Good knowledge of PostgreSQL and relational database concepts;

- Familiarity with containerization using Docker and version control systems like Git;

- Experience participating in code reviews and following clean code principles;

- At least Intermediate level of English for communication and documentation.
 

We offer:
- Opportunities for career growth and personal development, to help you improve your skills and achieve your goals;
- No micromanagement - your ideas and initiatives are always encouraged.
- Educational programs that are covered by the company at 30% of the expense;
- Paid vacation leave and public holidays (21 vacation days annually);
- Competitive financial compensation with regular performance reviews;
- Outdoor team activities are paid for by the company;
- English language improvement through extensive communication;
- The chance to work alongside highly experienced and enthusiastic IT professionals who are ready to share their knowledge and help you gain invaluable experience in a live IT environment.
 

Our hiring is quick and straightforward:
- Test task 
- Technical interview with a hiring manager (1.5 hours)

At Qencode, we are proud to be at the cutting edge of video technology. As a U.S.-based company, we have established ourselves as a trusted technology partner to some of the world's leading organizations, including Fortune 500 giants like NVIDIA, AWS, Google, and DigitalOcean.

As we expand our initiatives for 2026, we are looking for a Backend Engineer focused on Integrations. In this dynamic role, you'll work directly with our CTO to build and maintain integrations with third-party platforms and services, including HubSpot, Stripe, PayPal, Intercom, Fivetran, Metabase, Google Analytics, and a growing number of AI tools and applied AI projects.

Responsibilities

• Maintain, improve, and extend Qencode backend APIs (recent focus on FastAPI).
• Build and maintain integrations with platforms like HubSpot, Stripe, PayPal, Intercom, Fivetran, Metabase, and Google Analytics, as well as emerging AI tools and applied AI projects.
• Design reliable integration patterns: webhooks, OAuth flows, rate limiting, retries, and idempotency.
• MySQL schema design, indexing, query optimization, and data integrity.
• Own and evolve billing workflows: usage calculation, credits/quotas, invoicing logic, billing events, and correctness checks

Qualifications

• Strong backend engineering experience with Python.
• Hands-on experience with FastAPI (and comfort maintaining Flask services).
• Solid database skills (schema design, SQL, query troubleshooting). MySQL experience is a strong fit.
• Experience with message brokers (RabbitMQ preferred).
• Experience writing and maintaining database migrations.
• Comfort integrating with external services and APIs.

Nice-to-Haves

• Experience with AI/ML tools or building integrations for AI-powered workflows.
• Experience with ClickHouse, BigQuery, or modern analytics stacks.
• Payments/billing domain experience (usage-based billing, invoices, proration, reconciliation).
• Experience building reliable integration pipelines (queues, background jobs, retries, observability).
• Familiarity with containerization (Docker, Kubernetes).

Benefits

• Professional development and career growth opportunities.
• Work directly with the founding team.
• Innovation where new ideas are encouraged and rewarded.
• Exposure to a wide range of work experience

About Us

Providing value, innovation and excellence are at the heart of everything we do at Qencode. We're committed to pushing the boundaries of video technology in our rapidly evolving world and we would love for you to join us on this journey. Please apply so we can schedule an interview.

We are looking for a Senior Backend Python Engineer to help build and scale the core backend infrastructure powering our data platform.

In this role, you will design backend services responsible for processing, transforming, and delivering large volumes of structured data. You will work at the intersection of backend engineering and data infrastructure, building reliable systems that support analytics, intelligent applications, and internal tools.

You will collaborate closely with data engineers, AI engineers, and product teams to ensure backend services are scalable, reliable, and maintainable.
 

Responsibilities

• Design and develop backend services using Python
• Build scalable systems for data processing and internal APIs
• Design and maintain asynchronous service architectures
• Work with databases to ensure efficient data modeling and query performance
• Improve system reliability through monitoring, logging, and error handling
• Contribute to system architecture and backend best practices
• Optimize services for performance, scalability, and maintainability
• Support CI/CD pipelines and containerized deployments
   

Requirements

• 4+ years of experience with Python backend development
• Strong understanding of REST APIs and backend service architecture
• Experience with PostgreSQL and advanced SQL queries
• Experience working with asynchronous Python frameworks
• Familiarity with message brokers or event-driven architectures
• Experience working with Docker-based environments
• Understanding of system reliability and backend performance optimization
   

Nice to Have

• Experience building data-heavy backend systems
• Experience with high-throughput services
• Familiarity with distributed systems
• Experience with Kubernetes-based infrastructure
• Experience collaborating with data or ML teams
   

Tech Stack

Python · FastAPI · PostgreSQL · Redis · Message Queues · Docker · Kubernetes · CI/CD

Junior Developer (Marketing Automation) – Full Time

Location: Remote / Full-Time

About the Role

We are looking for a motivated Student / Junior Developer to join our team and work on

marketing automation systems. This role is ideal for someone at the beginning of their

career who wants hands-on experience building real automation workflows powered by

modern AI tools.

Responsibilities

Build and maintain automation workflows using tools like n8n

Integrate LLM-based AI services into marketing and operational processes

 Develop scripts and small backend services (Python preferred)

 Connect APIs, webhooks, and third-party platforms

 Optimize and monitor automated pipelines

Requirements

 Basic programming skills (Python)

 Basic DevOps knowledge (Linux, Docker)

 Understanding of APIs, REST, and JSON

 Familiarity with automation tools (n8n, or similar – advantage)

 Interest in AI / LLM technologies

 Strong problem-solving skills

 English – intermediate or higher

Nice to Have

 Experience with prompt engineering

 Experience working with CRM or marketing platforms

What We Offer

 Full-time position

 Hands-on experience with real AI-driven systems

 Fast learning environment

 Opportunity to grow into a mid-level automation/AI engineer/ Python engineer

ABOUT THE ROLE

In Stellantis, we build production-grade software and AI enablers for Stellantis enterprise. The development focuses on delivering robust AI features that would mundane manual work. 

We are looking for an MLOps Engineer who will work with Production-grade AI Solutions (LLMs), the cloud infrastructure (python, AWS), and collaborate with a wide range of AI Engineers. You will work closely with AI Engineers to deliver AI solutions to a production/RnD environment and have the opportunity to work in many different AI domains. 

Key Responsibilities:

• Implement Engineering Pipeline and maintain AI-based solutions for the Stellantis Ukraine
• Implement ETL (Extract-Transform-Load) pipeline on AWS for production AI Usage
• Contribute to a production-grade AWS Infrastructure platform for AI Projects
• Collaborate with AI Engineers to product robust and scalable AI Solutions
• Participate in code reviews, refinements, and sprint plannings. 
• Be responsible for monitoring, alerting and visibility for AI Solutions

ABOUT YOU

Qualifications and Experience:

• At least three years of working experience in Python or Java development
• Experience with AWS (at least Cloud Practitioner certification would be a benefit)
• Experience with Terraform
• Experience working with AI Pipelines, in turns of infrastructure, monitoring, maintance
• Experience with Containerization (Docker)
• Experience setting up CI/CD pipelines for AI projects

Would be a plus:

• Knowledge and experience of robust AI Monitoring tools (Prometheus, Grafana, Comet Opik or others)
• Experience with GenAI (LLM)
• Experience with AI frameworks and tools (LangChain, LangGraph, RAG)
• Experience working with Serverless 
• Advanced experience with LLMOps / MLOPS: Model drift detection, Performance degradation, LLM-as-a-judge testing

WE OFFER:

• International and multicultural working environment.
• Supportive regional team and collaborative culture.
• Clear career ladder and opportunities for personal development.
• Opportunities to gain new skills and grow both vertically and horizontally.
• Foreign language skills development (access to corporate platforms and language classes).
• Development benefit with an annual learning budget.
• Balanced paid time off package, including sick leave, public holidays, and vacation days
• Additional seniority-based leave.
• Maternity and paternity leave.
• Bonuses for key life events (childbirth, wedding).
• Comprehensive health and life insurance coverage.
• Monthly sport and wellbeing support. Including team sport events.
• Corporate vehicle purchase discounts (preferential pricing on Stellantis vehicles).
• Access to various external partner benefits and discounts.

We are looking for a Senior Backend Developer to join our Data Ops team. You will design, build, and maintain the backend systems that power our data pipelines, automation workflows, and internal tooling. This role blends deep Python expertise with cloud-native architecture, a pragmatic approach to automation, and a growing focus on integrating AI/ML capabilities into our platform. You will work closely with data engineers, front-end developers, and product stakeholders to ship reliable, scalable software.

Technology Stack

Python 3.11 — 3.14, AWS (Lambda, ECS, S3, Step Functions, CloudWatch),
Kubernetes, MongoDB, Redis, Apache Kafka, Pytest, GitHub Actions / Jenkins, Docker, SciPy, NumPy, pandas, scikit-learn, LLM APIs (OpenAI / Anthropic)


Responsibilities & Duties

— Architect and deliver efficient, well-documented, and highly readable backend services that set the quality bar for the team.
— Design and maintain automation pipelines (CI/CD, scheduled jobs, event-driven workflows) that reduce manual effort and improve reliability.
— Build lightweight internal dashboards, admin panels, or API-driven front-end components using frameworks such as React, Vue, or Streamlit to surface data and system health to stakeholders.
— Integrate AI/ML models and LLM-based features into backend services, including prompt engineering, embeddings pipelines, and retrieval-augmented generation (RAG) patterns.
— Dive into new technologies and product disciplines, driving innovation and staying current with the evolving AI and data engineering landscape.
— Define development plans based on project requirements and ensure timely delivery while remaining flexible to changing priorities.
— Oversee the stability of your services, monitoring system health, uptime, and performance post-release through observability tooling (CloudWatch, Datadog, or similar).
— Lead code reviews with peers, fostering a culture of continuous improvement, knowledge sharing, and engineering best practices.


Qualifications & Skills

Required
— 5+ years of hands-on Python development on large-scale, production systems.
— Strong experience with NoSQL databases (MongoDB preferred) and ability to design performant data models.
— Practical knowledge of AWS services and cloud-native design patterns.
— Experience building or maintaining CI/CD pipelines, automated testing suites, and infrastructure-as-code.
— Comfortable presenting ideas and technical details clearly to cross-functional teams.

Nice to Have
— Familiarity with front-end frameworks (React, Vue, or Streamlit) for building internal tools or dashboards.
— Hands-on experience with AI/ML workflows: training pipelines, model serving, or integrating LLM APIs.
— Knowledge of Kubernetes for container orchestration and scaling.
— Experience with event-driven architectures using Kafka or similar streaming platforms.
— Contributions to open-source projects or a visible engineering blog / portfolio.


What We Offer

— Working on great tech stack (app platform) with truly big data (processing 1TB every day)
— Product company with a long-term vision
— Project exposure and ownership that impacts our users, product, and business
— Medical insurance
— Sport benefit

We are looking for a Senior Full Stack Engineer with strong expertise in Python and modern frontend technologies to join our team. In this role, you will contribute to building scalable, high-performance applications, working across both backend services and user-facing interfaces.

You will collaborate closely with cross-functional teams, including DevOps and infrastructure specialists, to ensure robust, reliable, and efficient system design and delivery.

Required Skills & Experience

• Strong experience with Python and backend development (FastAPI, Flask, or Django)
• Solid frontend development skills with React and Next.js
• Good understanding of relational databases, particularly PostgreSQL
• Hands-on experience with Cloud Platforms (GCP is used on the project)
• Experience working with large datasets and data streaming solutions
• Familiarity with CI/CD practices and modern development workflows

Nice to Have

• Experience working with containerized environments (e.g., Kubernetes)
• Understanding of distributed systems and high-load architectures
• Exposure to infrastructure and networking concepts

What We Value

• Strong ownership and problem-solving mindset
• Attention to detail and commitment to quality
• Ability to collaborate effectively in a team environment