Jobs Python

Quintagroup is looking for Senior Python Developerr to join a leading European fintech product company. Technology stack: Python 3.11, Django 4.2, Postgres, AWS (EventBridge, Lambda, ECS, RDS, DynamoDB etc.), Docker, Pandas, Polars, Terraform

RESPONSIBILITIES:

• development with Python, AWS
• participation in planning and execution stages
• communicate with international (UK/UA/US) development team and CTO 

REQUIREMENTS

• 5+ years of experience with Python
• Experience with AWS and Python frameworks
• Able to work in a team-oriented, collaborative environment
• Ability to share knowledge

Customer methodologies and tools

• Scrum (2 week sprints)

Senior Python Developer - Project tech stack:

• Python
• AWS

WE OFFER:

• long term projects
• A company with a specialization in Python development for the last 22 years
• Health insurance
• different work models (remote, office, or hybrid remote/office options)
• Projects in AWS, Azure, GCP
• Different domains of projects: FinTech, EdTech, GovTech, IoT, e-commerce, marketplaces, e-auctions, e-learning, public procurement, interesting tasks, possibilities for career and professional growth
• Friendly atmosphere and good working conditions
• regular team-buildings and corporate parties
• Online English classes
• Flexible working hours
• Experience with new technologies

Our Development Team is excited to welcome a new colleague - an experienced Python Engineer

Requirements:

• Strong background in Python (SQLAlchemy, aiohttp, Celery, pytest)
• Good proficiency in SQL and PostgreSQL DBMS
• Experience with PSPs (Stripe/Braintree/PayPal)
• Basic skills of Ansible and Terraform, configuration of AWS services
• Rest of the stack (great if familiar): AirFlow, Docker, RabbitMQ, Memcached, HAProxy, Nginx, Grafana, Prometheus, Loki, Jenkins
• Responsibility and ability to take technical ownership over technical assets
• Great teamplay and communication skills, abilities to prompt colleagues and support them, to make decisions autonomously and to know exactly when to ask for help
• Goal-oriented mindset, ability to see and take a business context

• Abilities to make decisions autonomously, to prompt and support colleagues, to know exactly when to ask for help

   

AI Product Company seeking a Python Backend Developer to Join Our Team (Part-Time)
 

We are looking for an experienced backend developer to enhance our AI-powered voice processing system. Our infrastructure processes real-time audio streams and integrates advanced speech recognition models for high-accuracy transcription and analysis.
 

Responsibilities:

1. Implementing and integrating new speech processing models into our existing pipeline.
2. Developing a system for real-time audio streaming to multiple speech-to-text services via WebSockets or gRPC.
3. Ensuring parallel redundancy by streaming to multiple models for improved accuracy and reliability.
4. Optimizing performance and ensuring high system stability.
5. Working with audio streams (handling encoding, headers, and real-time data processing).
6. Deploying and maintaining the system on Linux servers with proper logging and monitoring.
    

Required Skills:

• Proficiency in Python
• Understanding of WebSockets (non-blocking asynchronous WebSockets and TCP sockets).
• Flask/FastAPI for API deployment and optimization.
• Experience with gRPC and handling streaming protocols.
• Linux/bash scripting for deployment and automation.
• Multithreading/Multiprocessing experience to ensure efficient parallel processing.
• Intermediate or higher English proficiency (written).
   

Preferred Skills (Huge Bonus):

• Experience with real-time audio processing.
• Experience in high-load systems (100+ requests per second).
• Experience in optimizing real-time speech processing applications.
• Experience in deploying/fine-tuning machine learning models.
• Familiarity with modern speech-to-text APIs and real-time transcription.
• Knowledge of containerization (Docker).
   

Soft Skills:

• Discipline
• Responsibility
• Time-management
• Intermidiate English (writing/reading docs)
• Spoken Ukrainian / Russian 
   

What We Offer:

• Competitive compensation based on interview assessment and project scope.
• Opportunities for career growth and learning in cutting-edge AI technologies.
• Innovation-driven work environment, where your input and suggestions are valued.
• Additional training and courses for full-time employees to enhance skills and expertise.
   

If you're an experienced backend developer passionate about real-time speech processing and AI-powered solutions, we'd love to hear from you!

The Role

As our Senior Backend Engineer, you’ll design and build the backend infrastructure that supports high-throughput, reliable, and secure AI agent workflows. You’ll work cross-functionally with ML engineers and data scientists to operationalize models at scale.

Key Responsibilities

• Architect and implement scalable APIs, microservices, and event-driven systems to power ML pipelines and agent orchestration
• Design efficient data modeling, ETL, and persistent storage suited for high-volume, real-time agent data 
• Optimize backend performance and ensure system stability under heavy concurrent load
• Collaborate closely with founders and ML teams to deliver end-to-end agent features
• Establish CI/CD pipelines, monitoring frameworks, and enforce backend security best practices
• Mentor junior engineers and contribute to team culture and best practices

Requirements

• 5+ years designing, implementing, and maintaining backend systems in Python
• Experience building distributed, scalable services with microservices or serverless architectures
• Strong grasp of relational and NoSQL databases, message queues (e.g., Kafka), and ETL patterns 
• Proven track record in API design (REST/gRPC), authentication, and reliable asynchronous processing
• Familiarity with containerization (Docker, Kubernetes) and observability tools (Prometheus, Grafana)

Nice to Haves

• Prior experience launching AI products or backend systems for ML/agent-driven applications
• Knowledge of LLM APIs, prompt pipelines, and agent orchestration
• Familiarity with cloud-native tools (AWS Lambda, S3, DynamoDB, GCP/Azure equivalents)
• Experience in startup or early-stage environments

Why You Should Join

• Competitive equity & pay - get in early and own what you build.
• Work closely with experienced founders with a proven startup track record.
• Move fast, ship fast - no corporate bureaucracy.
• Shape the AI revolution in healthcare - massive market, untapped potential

IT Craft invites a Python/AI Developer to join our team. We’re looking for a specialist passionate about AI technologies, Large Language Models, and intelligent data processing. Your primary focus will be on developing and integrating AI-based solutions - from RAG systems and LLM integrations to API development and intelligent automation - contributing to projects across domains such as finance, healthcare, and knowledge management.

The role also involves experimenting with models, evaluating AI project requests during presale stages, and collaborating with backend and DevOps teams to deliver reliable, production-ready systems. 

Key Responsibilities:

• Develop and maintain Python-based AI systems, from data ingestion to inference APIs;
• Build and optimize LLM workflows: RAG, fine-tuning, evaluation, and integration;
• Create chatbots and intelligent agents capable of reasoning and tool invocation;
• Work with vector databases for semantic search and retrieval optimization;
• Connect AI components to automation platforms for scalable workflows;
• Expose internal tools and actions via MCP servers for safe model interaction;
• Ensure clean, test-driven code with proper CI/CD, monitoring, and logging;

• Collaborate cross-functionally to deliver reliable, production-ready AI solutions.

   

Requirements:

• 3+ years of hands-on experience with Python 3.x and frameworks like FastAPI, Django, or Flask;
• Solid understanding of LLMs (GPT, Claude, Mistral, Llama, etc.) and their API integrations;
• Experience building RAG pipelines, chatbots, or AI agents using frameworks such as LangChain or LlamaIndex;
• Familiarity with vector databases (FAISS, Pinecone, Milvus, pgVector) and embedding workflows;
• Knowledge of model fine-tuning techniques (LoRA/QLoRA, SFT, RLHF);
• Ability to integrate automation tools (n8n, Make, Zapier) into AI-driven workflows;
• Practical use of Docker, Git, CI/CD, and testing best practices;
• Strong communication, ownership, and collaboration skills;

• At least an Upper Intermediate level of spoken and written English.

   

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 itechcraft.com/datenschutz.

We are looking for a Senior Python Developer for a very long-term project.

Must have Python: website scraping, FastApi, Websockets, asynchronous programming, object-oriented programming. 

Databases: SQL Server, Redis

Good English, the interview with the customer would be in English

Great communication, team player, hard worker, having a sense of urgency

Working hours Israel - from Sunday to Thursday, Friday Saturday days off 

Sometimes, needs to fix bugs during nights or weekends, depending on the level of code - the better level, the fewer issues

The project is about collecting and processing data for sports games, to provide data as a service for other services.

It's a data-collecting and processing platform, there are a lot of parsing and scraping tasks.

We are an outstaff company, working with a client for a long time, looking for a new team member to make the team stronger.

N-iX is looking for Senior Python Engineer to join our team! Our client, Recorded Future, leverages massive amounts of data to construct the valuable insights that keep our customers safe. As cyber threats evolve, so must our detection capabilities. We continuously create and refine detection rules to stay ahead of emerging threats, and these detections must be tailored to the unique environments and needs of our customers for maximum impact. 
 

Responsibilities:

• Expand our collection reach with new underground (UG) sources, and strengthen our methods by investigating collection issues and fixing the root causes.
• Solve hard underground data collection problems, such as evading anti-bot methods, coordinating the work of many collector agents, and safely collecting binary data from untrustworthy sources.
• Build high value analytics on raw data from UG sources. Examples: find networks of actors/accomplices, and highlight notable conversation threads.
   

Requirements:

• 5+ years experience in software engineering using Python. You write clean, production-grade code that your teammates can easily work with. 
• Experience with MongoDB.
• Experience with Kibana, Kafka, RabbitMQ
• Working experience with ElasticSearch
• Experience with Selenium, xpath, urllib3
• Great problem solving capabilities and experience troubleshooting data issues. In UG data collection, you cannot ask the source’s webmaster for tech support!
• Proactive communication and effective collaboration with your teammates to get technical problems resolved. You are a self-starter. The ball is always in your court.
   

Nice to have:

• Experience with AWS or other cloud environments
• Interested in DevOps work
• Experience with web scraping 
• Comfortable working in global teams

What You'll Do

• Design and develop core infrastructure for a complex, real-time industrial automation platform

• Take end-to-end ownership of features from conception to deployment

• Have direct impact on product direction and technical decisions as an early team member

• Build robust, scalable solutions that will power thousands of production lines

Required Experience

• 5+ years of hands-on software engineering experience

• Full-stack proficiency with JavaScript/TypeScript (Next.js) and Python

• Experience in fast-paced, dynamic environments preferred

• Daily use of AI tools (ChatGPT, Claude, Copilot) to accelerate development

Technical Skills We Value

Backend:

• FastAPI, WebSockets, Python async programming

• PostgreSQL, Redis, and workflow orchestration systems

• Real-time event systems (SSE) and message queuing - very important to have (not critical)

Frontend:

• React/TypeScript with real-time data streaming

• Experience with real-time visualization and state management

Infrastructure:

• Docker containerization and microservices architecture

• Experience with scalable, distributed systems

We are looking for a Senior Python Engineer to join our team and play a key role in building secure, scalable, and high-performance services using AWS serverless architecture, AWS CDK, and Python. You’ll own the entire development lifecycle—from design and implementation to testing, security, and deployment—while collaborating with cross-functional teams to deliver exceptional user experiences.

What We’re Looking For

• 5+ years of experience in Python development.
• 2+ years of hands-on experience building and deploying serverless applications on AWS.
• Strong problem-solving and analytical skills, with a passion for clean, maintainable code.
• Excellent communication and teamwork abilities, with the confidence to lead and influence.
• Self-driven, proactive, and eager to learn and share knowledge.

Bonus Points For

• Experience with CI/CD tools (e.g., Jenkins, Git, Artifactory).
• Background in SaaS application development.
• Solid understanding of security best practices, including OWASP guidelines and threat modeling.
• Proficiency in AWS CDK for infrastructure as code.

What You’ll Do

• Design and develop backend services with a strong focus on Python and AWS serverless technologies.
• Take end-to-end ownership of features: from requirements gathering and architecture design to development, testing, and deployment.
• Gain deep product understanding to optimize solutions for real customer needs.
• Partner with UX experts to create intuitive, seamless user experiences.
• Collaborate closely with security architects, product managers, and engineering teams to deliver secure, scalable, and reliable services.

Work Schedule

Full-time working day. 

Interview Stages

1. HR interview with our recruiter
2. Technical interview with the Engineering Manager (1 hour)
3. Coding interview (2 hours)
4. Final HR interview with the client’s Head of People

About the Project

Our client is a mission-driven, technology-focused non-profit organization founded by leading tech entrepreneurs.

The organization aims to tackle one of the biggest global challenges — online misinformation — by building innovative AI-driven trust infrastructure.

It operates with the speed and technical rigor of a high-growth startup, combining social impact with deep engineering work.

The team is developing a trust signal platform that helps AI systems evaluate which data sources are reliable.

The first product focuses on Wikipedia, analyzing its entire content to generate trust signals (such as edit stability, author credibility, and conflict history) and exposing them via an API that large AI platforms can query before using the information.

Future plans include expanding to other major data sources like Reddit, scientific papers, and online news.

Position: Backend Engineer - Data Infrastructure & Web Scraping

We are looking for a Backend Engineer for our client — a specialist with deep expertise in web scraping and data infrastructure, to design and build the foundational systems powering the trust platform.

You'll be responsible for designing and implementing scalable pipelines that collect, process, and serve data from complex platforms at enterprise scale.

Your Challenge — First 3-6 Months

• Build a proof of concept capable of collecting and processing data from sources such as Wikipedia and Reddit.
• Design the first data collection, storage, and low-latency processing pipelines.

• Contributing to defining the architectural model of the B2B API for strategic partners.

   

Your Challenge — First Year and Beyond

• Scale the framework to include new data sources digital books, newspapers, scientific articles, and paywalled content).
• Structure a metadata and statistics layer that allows AI platforms to decide in real time which sources to trust.

• Build the first robust commercial API for global AI and technology companies.

   

Day-to-Day Responsibilities

• Develop large-scale scraping routines with focus on performance, accuracy, and source accessibility.
• Build and optimize data processing pipelines in Python, designing efficient SQL data models.
• Work within AWS (cloud-native), with flexibility for other clouds.
• Participate in architectural discussions and product decisions with the founding team.

• Apply creativity and critical thinking to solve unprecedented problems without ready-made playbooks.

   

Required Qualifications

Web Scraping Expertise

• Proven experience scraping large, complex platforms (Wikipedia, Reddit, etc.).
• Ability to handle multi-level link structures, edge cases, and partial-access restrictions.

• Experience bypassing anti-scraping measures and processing various data formats.

   

Backend Development

• Strong Python skills for backend scripting and automation.
• Experience parsing, cleaning, and structuring data from APIs and scraped sources.

• Accuracy and completeness when preparing large datasets.

   

Data & Infrastructure

• Proficiency in SQL for querying, transforming, and modeling data.
• Experience designing scalable data pipelines for collection, storage, and retrieval.

• Handling large datasets with low latency and high precision.

   

API Development

• Experience building B2B APIs that expose processed datasets with layered metadata.

• Understanding of performance optimization for enterprise-level APIs.

   

Cloud Infrastructure

• Experience working in AWS (adaptable to other cloud platforms).

• Understanding of cloud-native architecture and security best practices.

   

Nice to Have

• Familiarity with LLMs and Prompt Engineering.
• Experience with RPA or data collection automation.
• Knowledge of JavaScript for integrations.
• Understanding of distributed architecture and resilient system design.

• Background in NLP or statistical modeling for trust scoring.

   

Why You’ll Love It Here

• Build technology that directly improves the integrity of global information.
• Work alongside some of the world’s most successful tech founders and receive direct mentorship.
• Fully remote, high-impact work environment with startup velocity and autonomy.
• Your engineering work will influence how AI systems worldwide determine truth.

Phenomenon Studio is a full-cycle design and development company founded in 2019.
We help startups and small to medium-sized businesses build and scale products across Healthcare, EdTech, SaaS, FinTech, and Web3 industries. 
Recognized with 30+ industry awards, we deliver high-quality solutions that combine creativity, technology, and business impact.

Our customer is a GRC (Governance, Risk & Compliance Assessment) platform designed to automate risk assessment, vendor management, and compliance with security standards. It streamlines complex GRC processes by centralizing data, enabling efficient reporting, and reducing manual workload.

The product is used by universities and public sector organizations in the US.

Team: 2x Backend, Frontend, QA, AQA, PM, UI/UX Designer

Requirements:
 

• 5+ years of commercial development experience
• Strong knowledge of Python, Django, and Django ORM
• Hands-on experience with AWS, Docker, Bash
• Experience in writing unit tests
• Mentoring and code review experience
• Strong communication skills and experience collaborating with stakeholders
• Upper-Intermediate English level

Nice to have:
 

• Experience with AWS Lambda, Kubernetes
• Understanding of cybersecurity principles
• Knowledge of security standards (ISO 27000)
• Experience with django-mptt

Responsibilities:
 

• Develop and maintain backend functionality for the platform using Python and Django
• Design efficient database structures and work with Django ORM to ensure optimal performance
• Participate in system architecture discussions and propose improvements for scalability and reliability
• Lead by example through code reviews, mentorship, and adherence to best engineering practices
• Collaborate with the team members to align technical implementation with business goals
• Deploy and maintain services on AWS, leveraging Docker for containerization and CI/CD pipelines
• Communicate effectively with stakeholders to clarify technical requirements and provide accurate estimations.
• Take initiative to identify potential improvements, propose technical solutions, and contribute ideas that enhance product quality and performance

What we offer: 
 

• Remote work format and flexible schedule
• Autonomy in work, opportunity to build processes, and grow within the company
• Individual development plan and annual performance review
• Workshops and playgrounds for continuous learning
• Compensation for subject-matter training
• Corporate English classes
• Access to IT Loyalty Club
• Accounting support
• 18 working days of annual leave
• 7 working days of sick leave and 7 working days of unpaid leave
• All national public holidays off

Recruitment process: Recruitment interview - Technical interview - Final interview

About QOVES

We make software that helps patients and clinics diagnose, plan, and visualize how to improve their appearance. Our AI-driven tools are used by cosmetic medical clinics worldwide. We’re VC funded, profitable, and building the next evolution of our backend platform.

This is a remote role for strong individual contributors. You’ll work alongside our core London team, focusing on executing backend improvements, resolving complex bugs, and implementing new services designed by our architecture group.

We move quickly and value engineers who are meticulous, reliable, and thrive in a structured environment where every week brings a new system to strengthen or untangle.

Your Day-to-Day

• Fix real-world issues: investigate and patch production bugs such as segmentation failures, model timeouts, malformed API payloads, or broken async tasks — ensuring quick turnaround and robust solutions.
• Implement new features and services: turn technical design docs or ADRs into working backend code — whether building FastAPI endpoints, integrating a queue consumer, or wiring up a new AI microservice.
• Refactor and modernize legacy code: take older Django logic and gradually migrate it to cleaner, modular patterns (Celery workers, service boundaries, async APIs).
• Maintain reliability: add metrics, tracing, and error handling so your fixes are observable and measurable in production.
• Participate in small-scale refactors: support the architecture team by executing structured migration tasks (e.g., breaking monolith views into APIs, moving tasks into queues, adding retries).
• Write clean, testable code: follow established patterns, maintain consistency, and document your work clearly for the next engineer.
• Collaborate asynchronously: communicate clearly through PRs, design comments, and Slack updates across time zones.
• Contribute to stability: help improve CI/CD pipelines, identify recurring issues, and propose tactical fixes that improve overall reliability.

What You’ll Work With

• Stack: Python, Django/DRF, FastAPI, Postgres (master + read replicas), Redis, Celery/RQ, RabbitMQ/SQS
• Infra: Docker, Kubernetes/ECS, AWS, GitHub Actions, OpenTelemetry, SigNoz/Grafana
• Tools: Linear, Notion, Slack, internal CI/CD via Dokploy

What You Bring

• 5–10 years of backend development experience in Python (Django/DRF or FastAPI).
• Strong debugging skills — you’re comfortable fixing production issues quickly and safely.
• Experience executing from technical design docs or ADRs and delivering reliable, high-quality code.
• Practical understanding of queues, background jobs, retries, idempotency, and distributed system basics.
• Solid database knowledge — Postgres schema design, migrations, and query optimization.
• Comfortable working asynchronously with teams across time zones.
• Bonus: OpenCV or computer vision exposure, or experience integrating LLM/AI microservices.

What Success Looks Like

• You’ve resolved production issues that previously took hours to debug.
• You’ve implemented a new backend service end-to-end following an ADR.
• You’ve refactored messy legacy code into clean, testable modules.
• You’ve added metrics that make performance bottlenecks visible and actionable.
• You’ve earned trust by delivering stable, maintainable code week after week.

Compensation & Setup

• Competitive global salary
• Equity options
• Performance and quarterly bonuses
• Home-office stipend & hardware budget
• Learning and professional development support

Remote-first. Preference for candidates within ±4 hours of London (GMT).

Applications Closing : 21st Oct

C2 / Native English Required. Your communication skills are extremely important given this a remote role.

We are looking for a Software Engineer (Python) to join our teams!

Requirements:

- Solid knowledge of Python language;

- Commercial experience with FastAPI;

- Experience with one of RDBMS (MySQL / PostgreSQL);

- Experience with Docker;

- Experience with Protobufs;

- Experience with Socket.io;

- Experience with data streaming;

- Interfaces: REST, gRPC;

- Experience with microservices;

- SOLID, DIY, KISS principles.

Will be plus:

- Kubernetes;

- ArgoCD;

 -Message Brockers: NATS (Kafka, RabbitMQ);

- NoSQL databases;

- Graphs;

- Task managers (Celery, Temporal);

- SDUI (Server-driven UI);

- Gremlin (TinkerPop stack).

Soft Skills:

- Responsibility;

- Sociability;

- Proactivity;

- Self-organization.

Responsibilities:

- Develop, support, and maintain projects in Python;

- Solve technical challenges;

- Participate in code reviews;

- Improve your technical and soft skills.

Our benefits to you:

☘️An exciting and challenging job in a fast-growing holding, the opportunity to be part of a multicultural team of top professionals in Development, Architecture, Management, Operations, Marketing, Legal, Finance and more
🤝🏻Great working atmosphere with passionate experts and leaders, sharing a friendly culture and a success-driven mindset is guaranteed
🧑🏻‍💻Modern corporate equipment based on macOS or Windows and additional equipment are provided
🏖Paid vacations, sick leave, personal events days, days off
💵Referral program — enjoy cooperation with your colleagues and get the bonus
📚Educational programs: regular internal training sessions, compensation for external education, attendance of specialized global conferences
🎯Rewards program for mentoring and coaching colleagues
🗣Free internal English courses
✈️In-house Travel Service 
🦄Multiple internal activities: online platform for employees with quests, gamification, presents and news, PIN-UP clubs for movie / book / pets lovers and more
🎳Other benefits could be added based on your location

A Python Developer specialized in building the Data Access Layer (DAL) is responsible  for designing and maintaining the code layer that abstracts interaction with APIs,  databases, or external services. The DAL typically consists of multiple Data Access  Objects (DAO) — modular components that encapsulate the logic for retrieving,  transforming, and persisting data. 

By separating the DAL from business logic, the developer ensures that applications can  consume data in a consistent, reusable, and maintainable way, regardless of the  complexity of the underlying APIs or data sources. 

Core Competencies: 

• Data Access Layer Design: Structures the DAL so that it provides a clear  contract for higher-level services, while hiding the details of API calls,  authentication, and error handling. 

• Data Access Objects (DAO): Implements DAOs to encapsulate access to  specific resources, enabling standardized CRUD-style operations. • API Integration: Strong expertise in REST APIs, including handling  authentication, pagination, and rate limits. 

• Python Development: Skilled in Python, object-oriented programming, design  patterns, modularization, and error handling. 

• Testing & Quality: Ensures DAL and DAOs are well tested through unit and  integration tests. Promotes reliability and resilience in accessing external  systems. 

Typical Deliverables: 

• A modular Data Access Layer library, implemented in Python, with DAOs for key  resources. 

• Documentation and usage guidelines for other teams to consume the DAL. • Error handling and retry logic abstracted within the DAL so that client code  remains clean. 

• Unit and integration tests to validate DAL/DAO correctness and robustness. • Experience with cloud environments (AWS especially) 

Additional Skills (Nice-to-Have): 
• Asynchronous programming with asyncio or frameworks like FastAPI.

• Familiarity with SQL/NoSQL databases and ORM frameworks (SQLAlchemy,  Django ORM). 

• Knowledge of DevOps practices (CI/CD pipelines). 
 

Value to the Team: 

By owning the Data Access Layer, this Python Developer ensures that the organization  has a single, well-structured entry point for all data operations. This reduces  duplication, improves maintainability, and accelerates feature development, since  other developers and analysts can rely on a consistent and reliable abstraction instead  of reimplementing API or database logic.

Mission — Why This Role Exists

We’re scaling ICEYE’s global operations. To do that, we need engineers who can simplify complex processes and build systems that improve how work gets done. This role exists to automate and structure the critical workflows that move customer contracts through to delivery, and to prepare our operations for the use of machine learning where it adds real value.

Expected Outcomes

• Key operational processes (lead to cash) are automated, integrated, and consistently reliable
• Manual interventions and workarounds are reduced through better structure, validation, and logic
• Cross-functional teams (Ops, Product, Finance) have better visibility and fewer blockers
• Real-time metrics, exceptions, and trends are surfaced early and acted on quickly
• The groundwork is in place for introducing learning-based systems where they help most

Responsibilities

1. Streamline and Orchestrate Workflows

• Streamline and accelerate lead-to-order-to-cash operations by designing modular workflow automations that support team-driven orchestration across systems
• Reduce manual steps by embedding logic into how tasks flow between tools, teams, and data
• Ensure workflows are stable, trackable, and responsive to operational events

2. Add Intelligence Where It Matters

• Work with other teams to bring scoring, prioritization, and exception logic into workflows
• Create dashboards and alerting that help operators see issues and patterns early
• Structure and log key decisions to support future learning and process improvements

3. Prepare for AI Systems

• Help lay the technical foundation for operations assistants that handle routine tasks, detect issues, and support operators
• Design data flows and capture feedback that will enable AI-based features over time
• Make sure anything “intelligent” is traceable, supportable, and aligned with ICEYE’s standards

4. Work Across Teams

• Collaborate with Ops, Product, Engineering, and Finance to understand pain points and priorities
• Build tools that work well with existing platforms and are easy to operate and maintain
• Focus on clarity, reliability, and real-world usability in everything you delivery

What Makes You a Strong Fit

Must-Have

• Experience building workflow automations or service integrations for business operations
• Hands-on work with tools like Salesforce, JIRA, NetSuite, Slack, or internal systems via APIs
• Proficiency in Python and/or TypeScript (React or FastAPI experience is useful)
• Familiarity with GenAI tools (OpenAI APIs, LangChain, FAISS, Pinecone)
• Able to design structured logic from semi-structured or human-driven processes
• Know how to monitor and improve systems after launch
• Experience building logs, metrics, or audit trails that support better operations over time
• Strong communication skills with both technical and non-technical colleagues
• Able to take vague goals and turn them into working, maintainable solutions

Nice-to-Have

• Exposure to ML workflows, including model deployment or data prep
• Background in operations-heavy fields like logistics, aerospace, or defense
• Familiarity with satellite operations, tasking, or quality control

Tech Stack Snapshot

Workflow & Integrations

• Python, Go, FastAPI, Flask
• PostgreSQL, Redis, REST APIs
• JIRA, Holistics, Databricks , Slack, Confluence, Workato, Salesforce, NetSuite, 
• Internal systems and service APIs

Infrastructure & Monitoring

• Docker, Kubernetes (GCP or AWS)
• GitHub Actions, Datadog, Sentry

Machine Learning & Intelligence

• scikit-learn, XGBoost, PyTorch
• Airflow, Prefect
• LangChain, OpenAI APIs, FAISS, Pinecone

Internal Tools

• React, TypeScript, TailwindCSS

Employment is subject to applicable security screening (incl. SUPO, where required)