Jobs Python

We are looking for an experienced Python Software Engineer to join our team and help build AI-driven automation solutions. In this role, you will design and enhance intelligent workflows that automate internal processes and improve overall efficiency.

You’ll work closely with cross-functional teams, contributing to scalable systems and high-quality engineering practices in a fast-paced, product-oriented environment.
 

Responsibilities:

• Design, develop, and improve AI-powered workflows and services
• Implement new features and optimize existing functionality for performance and scalability
• Write and maintain unit and integration tests
• Participate in code reviews and contribute to engineering best practices
• Apply modern architectural approaches and industry standards
• Collaborate with other teams to deliver reliable and high-quality solutions
   

Required Qualifications:

• 5+ years of commercial software development experience
• Strong proficiency in asynchronous Python (e.g., asyncio, aiohttp)
• Hands-on experience with AWS services (Lambda, IAM, S3, SQS/SNS, EC2, ECS)
• Experience with CI/CD pipelines and DevOps practices
• Experience designing RESTful APIs, including security, versioning, and error handling
• Solid understanding of software architecture, design patterns, and data structures
• Strong communication skills and experience working in distributed teams
• Upper-intermediate level of English
   

As a plus:

• Experience building or working with agent-based (agentic) workflows
• Familiarity with Bedrock AgentCore or Strands SDK
• Experience with containerization (Docker, Kubernetes)
• Experience with AI-assisted development tools (e.g., Cursor, CLine, Claude Code)

Location: Remote / Hours: 9 AM – 5/6 PM PT (California time)

About the Company

Our client is a leading autonomous vehicle technology company operating at the cutting edge of self-driving software development. Their internal simulation platform is mission-critical; every software change to the autonomy stack is validated through simulation before reaching the road.

Role Overview

We are looking for an experienced Python engineer to join a short-term engagement supporting a legacy internal tooling application currently undergoing an ownership transition. This is a high-trust, high-visibility role: you will be the single point of contact for an important simulation-related tool, responsible for keeping it running, handling user requests, and converting years of tribal knowledge into structured documentation, paving the way for the tool's eventual integration into the company's broader platform.

This role is well-suited to a seasoned engineer who thrives in support-oriented environments, communicates clearly, and can navigate legacy codebases with confidence.

Key Responsibilities

• Serve as the primary owner and day-to-day support engineer for a Python/JavaScript (Vue.js) internal application
• Monitor a dedicated Slack channel and respond promptly to user requests: data queries, bug reports, and minor feature asks
• Implement small enhancements (additional UI fields, database schema changes, configuration updates, etc.)
• Participate in structured knowledge transfer sessions with the outgoing developer
• Create comprehensive technical documentation: architecture, data models, runbooks, and tribal knowledge capture
• Transfer documented knowledge to the receiving engineering team
• Provide on-call weekend support via OpsGenie, responding to alerts and resolving incidents if any.

Requirements

• 5+ years of professional software engineering experience
• Strong proficiency in Python (backend services, scripting, debugging)
• Solid experience with PostgreSQL or equivalent relational databases (querying, schema management)
• Ability to read, understand, and maintain legacy/undocumented codebases
• Basic frontend skills sufficient to make UI-level changes (JavaScript / Vue.js)
• Experience working in Slack-based async support environments
• Excellent written and verbal communication skills in English
• Availability during California business hours (9 AM - 5/6 PM PT) with reliable on-call coverage on weekends
• Comfortable installing and using OpsGenie for incident alerting

Nice-to-Have Skills

• Prior experience in autonomous vehicles, robotics, or simulation-heavy domains
• Familiarity with Kafka or event-driven architectures
• Experience with knowledge transfer projects or technical documentation initiatives

Background working with tools like Airflow (contextual awareness, not hands-on required)

We Are:

LetsData is an AI-powered solution designed to proactively shield businesses, civil society, and governments from information operations. Our mission is to build a cutting-edge product that helps the world’s largest organizations detect information operations early, whether disinformation, synthetic identities, or other threats posed by cybercriminals, hostile states, or competitors. We are guided by our principles of excellence, collaboration, and adaptability, and we are committed to becoming a global leader in InfoOps prevention.

The Role:

As a Full Stack Engineer at LetsData, you will develop and optimize our AI-driven platform, focusing on user-centric interfaces for both internal analytics teams and clients. Your work will help deliver innovative solutions powered by AI, data analytics, and cloud technologies to combat disinformation and protect organizations globally.

Format: Full-time

Location: Kyiv, Ukraine (hybrid-remote)

LetsData's main hubs are in Kyiv, Lviv, and New York, and we operate as a remote-first team. For this role, we're looking for someone based in Kyiv to join our full-stack team. Day-to-day work is remote, with occasional visits to our coworking space to sync, collaborate, and work in person.

Requirements:

• 1-3 years of experience as a Python FullStack Engineer.
• Strong experience with frontend development using frameworks like Vue.js, including knowledge of CSS.
• Proficiency in backend development using Python.
• Hands-on experience deploying and managing applications on cloud platforms, with Google Cloud Platform preferred.
• Excellent communication skills to collaborate effectively with cross-functional teams in both English and Ukrainian.
• Nice to have: Familiarity with containerization and orchestration tools like Docker.
• Nice to have: Knowledge of infrastructure as code (IaC) tools such as Terraform.
• Nice to have: Familiarity with CI/CD pipelines for automating deployments.
• A passion for making an impact by fighting malign information influences.

You Will:

• Design and develop responsive and interactive frontend interfaces using Vue.js
• Integrate frontend applications with backend services written in Python.
• Deploy and maintain applications on Google Cloud Platform.
• Collaborate with cross-functional teams to define, design, and deliver new features.
• Ensure code quality and maintainability by following industry best practices.
• Contribute to the technical design and implementation of AI-driven solutions for fighting disinformation.

We Offer:

• Unlimited vacation and additional days off on your special occasions.
• Unlimited sick leaves to take care of your health.
• Parental leave for those who stay with us for 1+ year.
• Membership at a coworking space, our Kyiv team is based in Creative States of Arsenal.
• Opportunity to participate in the top events of the industry.

LetsData is an equal-opportunity employer. We are committed to fostering a diverse and inclusive workplace where all employees feel respected and valued. We do not discriminate based on race, ethnicity, religion, belief, color, gender identity, sexual orientation, nationality, citizenship, age, marital status, veteran status, disability, legal history, or any other characteristic protected by law. 

About Us

Althera Code is an innovative custom software development company providing end-to-end AI and SaaS solutions for clients across industries. We specialize in product development, AI/ML, workflow automation, and scalable software architectures. 

We are looking for a motivated Python Engineer to join our team and work on AI-driven projects, automation pipelines, and integrations leveraging tools like Copilot and n8n.

What You’ll Do

• Design, develop, and maintain backend services and microservices in Python
• Work on AI / ML integration, assist in embedding models, inference pipelines, and fine-tuning
• Use Copilot (or similar AI assistants) to accelerate code development, iterate on suggestions, and refine outputs
• Design and build automation workflows and orchestrations using n8n (or similar tools)
• Integrate external APIs, services, data sources, and pipelines
• Collaborate with frontend, QA, data engineers, and product teams to define APIs and interfaces
• Write clean, maintainable, testable code; cover features with unit / integration tests
• Participate in code reviews, architecture discussions, and technical planning
• Troubleshoot, debug, and optimize performance and scalability issues
• Stay current with AI, automation, and Python ecosystem trends and propose improvements

Qualifications / Requirements

• Minimum 1 year professional experience in software development / IT
• Strong proficiency in Python (experience with frameworks like Flask, FastAPI, Django, etc.)
• Experience integrating or working with AI / ML models, inference pipelines, or embedding models
• Hands-on experience with code assistants like Copilot (or GitHub Copilot, ChatGPT code mode, etc.)
• Experience building or maintaining workflows / automations with n8n (or a comparable automation/orchestration tool)
• Familiarity with RESTful APIs, webhooks, asynchronous processing (Celery, asyncio, etc.)
• Good understanding of databases (SQL, NoSQL) and data pipelines
• Version control (Git) and CI/CD workflows
• Ability to read, understand, and contribute to existing codebases
• Strong communication skills, ability to work in remote / distributed teams
• Problem-solving mindset, eagerness to learn new tools and paradigms

Bonus / Nice to Have

• Experience with cloud platforms (AWS, Azure, GCP)
• Experience with containers, Docker, Kubernetes
• Familiarity with ML frameworks (TensorFlow, PyTorch)
• Experience with infrastructure as code (Terraform, CloudFormation)
• Knowledge of message queues, streaming (RabbitMQ, Kafka, etc.)
• Experience in healthcare, fintech, or regulated industries

What We Offer

• Remote / flexible work arrangement
• Opportunity to work on meaningful, AI-centric projects
• Collaborative, supportive team environment
• Professional growth, training, access to new technologies
• Competitive compensation 

Company Description

Are you a seasoned engineer passionate about building scalable, high-performance systems? This Senior-level role offers the opportunity to work remotely with talented teams across Europe, Ukraine, and LATAM.

At Sigma Software, we deliver cutting-edge solutions for global customers, combining technical excellence with a service-minded approach. In this role, you will join a distributed team to architect and evolve an advanced Ads platform, contributing to both innovation and stability.

Why join us? You will work on complex, high-impact systems, collaborate with international experts, and enjoy the freedom to shape architecture and technical patterns that drive long-term success.

CUSTOMER

We partner with a leading company in the AdTech space, delivering high-performance, scalable solutions that empower advertisers to manage campaigns, optimize targeting, and analyze results in real time. The Customer values innovation, reliability, and long-term collaboration, and operates globally with distributed teams in Europe, LATAM, and other regions.

PROJECT

The project focuses on building and evolving core systems for an advanced Ads platform integrated into a product for the interior decor industry. This product enables users to preview and visualize home items before purchase, enhancing shopping experiences both online and in-store.

Job Description

• Design, develop, and maintain APIs and services supporting ad campaign management, targeting, delivery, attribution, and reporting
• Architect scalable, reliable, and high-performance distributed systems
• Optimize systems for high-throughput and low-latency event/data processing
• Drive architectural decisions and establish development patterns
• Collaborate with distributed teams to ensure seamless integration and delivery
• Mentor and guide other engineers, fostering technical excellence

• Ensure code quality, maintainability, and alignment with long-term product goals

   

Qualifications

• At least 5 years of commercial experience in building scalable, high-performance systems
• Hands-on experience with AdTech solutions such as DSP, SSP, ad exchange, prebid, Google Ad Manager, or openRTB
• Strong proficiency in Python, preferably with the Django framework
• Solid knowledge of computer science fundamentals, including data structures, algorithms, and distributed systems
• Good understanding of distributed system architecture with a focus on data availability, reliability, and performance
• Practical experience with Kubernetes, PostgreSQL, and AWS

• Upper-Intermediate level of English

   

WILL BE A PLUS

• Experience with dbt and Redshift

• Familiarity with interior decor industry solutions

   

Additional Information

PERSONAL PROFILE

• Attention to detail and quality
• Excellent communication skills
• Leadership mindset, proactiveness

What Do We Do?

Madgicx is transforming how eCommerce brands scale their digital advertising through AI-powered automation and intelligent optimization. Our platform empowers thousands of brands to make smarter marketing decisions, automate complex workflows, and achieve unprecedented ROAS. We’re building the future of autonomous advertising, where AI and human creativity combine to unlock exponential growth.

Why Madgicx Needs You

As a Backend Engineer at Madgicx, you are responsible for building and maintaining the core APIs and services that power our AI-driven advertising platform. You will design resilient, high-performance backend systems that handle millions of advertising operations daily, integrate with multiple advertising platforms, and serve as the foundation for our AI agent ecosystem.

This is a hands-on engineering role where you’ll ship production code daily, collaborate closely with AI/ML teams, and directly impact thousands of brands’ advertising performance.

What You’ll Own

1. Core API Development

• Build and maintain RESTful APIs serving web, mobile, and AI agent clients
• Design database schemas and optimize query performance for high-traffic endpoints
• Implement authentication, authorization, and rate limiting for secure API access
• Write comprehensive tests (unit, integration, E2E) ensuring code quality and reliability

2. Service Integration & Data Pipelines

• Integrate with advertising platform APIs (Meta Marketing API, Google Ads API, TikTok Ads)
• Build data ingestion pipelines processing campaign metrics, creative performance, and audience insights
• Handle webhook processing, event streaming, and asynchronous job processing
• Implement retry logic, circuit breakers, and graceful degradation for external service failures

3. AI-Ready Infrastructure

• Build backend services that support AI agent workflows and LLM integrations
• Design APIs that enable AI agents to query data, execute actions, and receive feedback
• Implement observability hooks (tracing, logging, metrics) for AI system monitoring
• Collaborate with Data Science teams to productionize ML models and predictions

4. Performance & Scalability

• Optimize API response times (P95 <500ms) and database query performance
• Implement caching strategies (Redis, CDN) for high-traffic endpoints
• Design for horizontal scalability using containerization and orchestration
• Monitor system health, troubleshoot production issues, and participate in on-call rotation

5. Code Quality & Collaboration

• Write clean, well-documented, and maintainable Python code following team standards
• Conduct thorough code reviews providing constructive feedback to peers
• Participate in pair programming sessions and knowledge-sharing activities
• Contribute to technical documentation, runbooks, and architectural decision records

What You’ll Bring

Required

• Bachelor’s degree in Computer Science, Software Engineering, or equivalent experience
• 5+ years of production backend development with demonstrable impact on system reliability and performance
• Python expertise: Strong proficiency in Python web frameworks (FastAPI, Flask, Django) and async programming
• API design: Experience building RESTful APIs with proper versioning, error handling, and documentation (OpenAPI/Swagger)
• Database proficiency: SQL expertise (PostgreSQL, MySQL) including schema design, indexing, and query optimization
• Cloud infrastructure: Hands-on experience with Google Cloud Platform (preferred) or AWS/Azure
• GenAI & Agentic Framework familiarity: Practical experience using GenAI tools (GitHub Copilot, ChatGPT, Claude) for development, understanding of LLM capabilities/limitations, worked on setting up agentic toolings such as RAG, Guardrails, Feedback loops, planning, MCP’s and orchestration tools etc...
• Containerization: Production experience with Docker and Kubernetes for service deployment

Non-Negotiable Technical Skills

Backend Core
Python Web Frameworks (FastAPI, Flask, or Django with async capabilities), SQL Database Design (PostgreSQL schema design, indexing strategies, query optimization), and API Architecture (RESTful design, authentication/authorization, rate limiting, error handling)

Cloud & Infrastructure
Google Cloud Platform (Compute Engine, Cloud Run, Cloud SQL, Pub/Sub, Secret Manager, IAM), Container Orchestration (Docker containerization, Kubernetes deployments, service configuration), and Infrastructure as Code (Terraform or equivalent for reproducible deployments)

Integration & Data
Third-Party API Integration (OAuth flows, webhook processing, rate limit handling, retry logic), Message Queuing (Pub/Sub, RabbitMQ, or Kafka for async processing), and Caching Strategies (Redis for session management, query results, and rate limiting)

GenAI & Observability
GenAI Tool Proficiency (Active use of GitHub Copilot, ChatGPT, or Claude for code generation, debugging, and documentation), LLM Integration Basics (Understanding of API usage, token management, prompt engineering, etc... ), and Observability (Structured logging, distributed tracing, metrics collection, and alerting)

Our Operating Principles

• Ship Code, Not Slides: We measure success by features in production, not meeting decks
• Engineering Excellence: Clean code, tested systems, thorough documentation, and scalable architectures
• Speed to Production: From feature branch to deployment in days, not weeks

• Data-Driven Decisions: We trust metrics, experiments, and user feedback over opinions

   

Continuous Learning: Every production incident and performance issue teaches us something new

What Success Looks Like (First 12 Months)

• Shipping velocity: Consistently deliver features from design to production within sprint cycles
• System reliability: Maintain <0.1% API error rate and P95 response times under target SLAs
• Code quality: Your PRs require minimal revisions and serve as examples for junior engineers
• AI readiness: Backend services seamlessly support AI agent integrations and ML model deployments
• Team impact: Improve developer productivity through better tooling, documentation, or architectural patterns

What’s In It For You

• Impact: Your APIs power advertising decisions affecting billions in ad spend across thousands of brands
• Technical Growth: Work with cutting-edge AI/ML systems, high-traffic APIs, and modern cloud infrastructure
• Ownership: Full responsibility for services from design through production operation
• Learning Budget: Conferences, courses, certifications, and dedicated learning time
• Compensation: Competitive salary, equity, performance bonuses, and comprehensive benefits
• Flexibility: Remote-first culture with flexible hours and work-life balance

Ready to Build the Future of Advertising AI? If you’re excited by the challenge of building ML systems that generate millions in revenue, we want to talk. Send us your GitHub, examples of production platforms you’ve built, and evidence of business impact you’ve driven. Show us why you’re the engineer who will help us revolutionize advertising through AI.

About the Company:

Our client is a leading autonomous vehicle technology company operating at the cutting edge of self-driving software development. Their internal simulation platform is mission-critical; every software change to the autonomy stack is validated through simulation before reaching the road.

Role Overview:

We are looking for an experienced Python engineer to join a short-term engagement supporting a legacy internal tooling application currently undergoing an ownership transition. This is a high-trust, high-visibility role: you will be the single point of contact for an important simulation-related tool, responsible for keeping it running, handling user requests, and converting years of tribal knowledge into structured documentation, paving the way for the tool's eventual integration into the company's broader platform.

This role is well-suited to a seasoned engineer who thrives in support-oriented environments, communicates clearly, and can navigate legacy codebases with confidence.

Key Responsibilities:

• Serve as the primary owner and day-to-day support engineer for a Python/JavaScript (Vue.js) internal application
• Monitor a dedicated Slack channel and respond promptly to user requests: data queries, bug reports, and minor feature asks
• Implement small enhancements (additional UI fields, database schema changes, configuration updates, etc.)
• Participate in structured knowledge transfer sessions with the outgoing developer
• Create comprehensive technical documentation: architecture, data models, runbooks, and tribal knowledge capture
• Transfer documented knowledge to the receiving engineering team
• Provide on-call weekend support via OpsGenie, responding to alerts and resolving incidents if any.

Requirements:

• 5+ years of professional software engineering experience
• Strong proficiency in Python (backend services, scripting, debugging)
• Solid experience with PostgreSQL or equivalent relational databases (querying, schema management)
• Ability to read, understand, and maintain legacy/undocumented codebases
• Basic frontend skills sufficient to make UI-level changes (JavaScript / Vue.js)
• Experience working in Slack-based async support environments
• Excellent written and verbal communication skills in English
• Availability during California business hours (9 AM - 5/6 PM PT) with reliable on-call coverage on weekends
• Comfortable installing and using OpsGenie for incident alerting.

Nice-to-Have Skills:

• Prior experience in autonomous vehicles, robotics, or simulation-heavy domains
• Familiarity with Kafka or event-driven architectures
• Experience with knowledge transfer projects or technical documentation initiatives

Background working with tools like Airflow (contextual awareness, not hands-on required)

Intent Solution Group is inviting talented professionals to join us for an exciting FinTech opportunity to build and modernize an application for a US based investment advisory firm helping business owners and individual clients better manage their financial investments. Our goal is to boost productivity using modern technologies, including Generative AI, and deliver user-friendly digital solutions to our clients.

 

About the Role:

Support the Scrum team by implementing features across frontend and backend, assisting with LLM components, and helping with automation and delivery. This role offers strong growth into more complex LLM and OCI work.

Requirements

Key Responsibilities  

• Build and maintain backend logic in Python and user interfaces with React .  
• Contribute to LLM-powered features (API integrations, prompt handling, basic agent/UI interactions).  
• Use Claude Code and other AI tools for coding, debugging, and refactoring.  
• Create tests with genAI and support end-to-end quality within the team.  
• Assist with Bitbucket pipelines, basic OCI scripts, deployments, and environment setup.  
• Take ownership of user stories and deliver them fully to Definition of Done.  
• Actively participate in all Scrum events and suggest improvements.
   

Requirements  
 

• 2–5 years of experience in full-stack development, with solid Python skills plus React.  
• Basic to intermediate experience with LLM APIs (OpenAI/Claude) or strong eagerness to learn quickly.  
• Familiarity with Git, branching strategies, CI/CD concepts, and web service patterns.  
• Ability to deliver tested, deployable work in a Scrum environment.  
• Good English skills and a collaborative, proactive mindset.
   

Nice to Have  
 

• Any cloud platform exposure (OCI preferred) or Terraform.  
• Experience with testing/automation tools.  
• Enthusiasm for AI-assisted development and modern React ecosystems.
   

Benefits

• You will enjoy working in a flexible, Agile, and multinational environment to drive improvements to our customers’ solutions, design and develop new cloud services and software solutions.
• Your skills and experience can be applied to build state of the art software products. 
• You will definitely gain access to continuous learning opportunities and ensure the constant expansion of your skill-sets through working with top global players in technology scene.

• We provide you a wealth of opportunities to serve as an AWS domain expert and gain deep cross-industry expertise within our expanding customer portfolio.

  Office in the city centre​.

About the Role

We are seeking a motivated Software Developer to join our team working on innovative bioinformatics and computational biology projects. You will primarily work on our core backend services and microservices architecture, with opportunities to contribute across the full stack.

Key Responsibilities

- Develop and maintain backend microservices using Python (FastAPI/Flask)

- Work with biological data processing pipelines and proteomics workflows

- Implement RESTful APIs and integrate with various data sources

- Collaborate on database design and optimization (PostgreSQL, SQLAlchemy)

- Participate in code reviews and contribute to technical documentation

- Debug and optimize existing codebase for performance and reliability

Required Qualifications

- Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent experience)

- 1+ year of professional software development experience

- Strong programming skills in Python

- Understanding of RESTful API design principles

- Experience with version control systems (Git)

- Basic knowledge of SQL and relational databases

- Good problem-solving skills and attention to detail

- Ability to work both independently and as part of a team

Preferred Qualifications

- Biology/Bioinformatics background - Understanding of molecular biology, proteomics, or computational biology concepts

- Frontend experience - Familiarity with React, TypeScript, and modern web development

- Machine Learning knowledge - Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch)

- DevOps understanding - Knowledge of CI/CD pipelines, containerization, and deployment practices

- Experience with microservices architecture

- Familiarity with Docker and containerization

- Knowledge of asynchronous programming (asyncio)

- Understanding of data processing pipelines

- Experience with scientific computing libraries (NumPy, Pandas)

What We Offer

- Opportunity to work on cutting-edge bioinformatics projects

- Mentorship from experienced developers

- Cross-functional exposure (backend, frontend, ML, biology, DevOps)

- Professional development opportunities

- Collaborative and learning-focused environment

About the Product:
 

They build one of the most trusted AI order-taking systems for drive-thrus, designed specifically for high-volume QSR environments and built to scale. Their AI consistently delivers over 93% order completion and 96% accuracy, enabling faster, error-free service across thousands of locations.

Their platform gives brands full control over scripts, upsells, and voice, while allowing franchisees to easily adapt menus, limited-time offers, and regional variations. Built-in labor optimization reduces employee stress and turnover, saves hours of labor every day, and significantly improves the guest experience.

They are growing rapidly and operate the largest number of voice-AI drive-thru deployments in the market, competing directly with both big tech and restaurant technology leaders.

They are now looking for a Staff Engineer to join their Infrastructure team and help shape the backbone of a highly complex, real-time system at scale.

 

About the Role:
 

As a Staff Engineer, you will operate at a high level of ownership and impact, working on systems that are already live in production and used at massive scale.

You will:

• Own and evolve critical parts of the core backend infrastructure -a real-time, distributed system written in Python and Rust
• Lead large technical initiatives end-to-end with minimal guidance
• Troubleshoot and resolve high-severity, complex production issues
• Continuously improve development velocity while maintaining exceptionally high reliability standards

Why You Should Apply

This role is ideal for engineers who want real technical ownership, not just influence on paper.

By joining them, you will:

• Work on mission-critical, real-time systems deployed at massive scale
• Tackle hard infrastructure problems involving networking, performance, concurrency, and reliability
• Have genuine autonomy to design, build, and ship impactful solutions
• Compete technically with top-tier big tech systems while retaining startup-level speed
• Influence architecture decisions that directly affect thousands of real-world locations
• Be part of a team that values deep technical excellence, resilience, and ownership

If you’re looking for a role where your experience truly matters - and where the problems are genuinely difficult - this is it.

Qualifications

• BSc in Software Development or equivalent industry experience
• Previous experience as a Staff or Principal Engineer in a startup environment
• 10+ years of Python development experience
• Strong experience with Python Asyncio
• Excellent software design and architecture skills
• Strong written and verbal communication skills
• Significant experience with at least one strongly typed language (Rust, C++, Go, Swift, Java, etc.)
• Deep understanding of networking protocols and operating systems
• Deep expertise in Python profiling and performance optimization
• Proven experience delivering and troubleshooting production-grade, cloud-based distributed systems
• Experience building and debugging real-time, low-level systems (e.g., kernel, drivers, RTOS)
• Hands-on experience with Kubernetes and Helm
• Experience working with multiple observability stacks
• Strong LLM prompting skills, while also being effective without them
• Experience with gRPC and gRPC troubleshooting
• Contributor or maintainer of an open-source project

Bonus Experience

• Knowledge of WebRTC, STUN/TURN, SIP, RTP, HLS, or RTMP
• Experience with Rust and PyO3
• Audio or voice-related programming experience

Qualities They’re Looking For

• Fast - you aim to be a true 10x engineer, not just another senior profile
• Resilient - comfortable balancing planned work with urgent, real-time issues
• Clear communicator - able to write concise documentation and explain complex ideas
• Strong problem solver with a systems-level mindset
• Extreme ownership and independence
• Ability to turn incomplete or ambiguous requirements into real products
• A collaborative team player who raises the technical bar around them
  
  If you’re passionate about AI, real-time systems, and backend development at scale, we’d love to hear from you!

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

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.

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.