Jobs Python

About the Project

We’re building an AI-powered video platform that aggregates and processes content from multiple social media sources. Users interact with video data through contextual search, LLM-powered features, and AI agent workflows.

We’re looking for a Senior Backend Engineer with a Python focus who will work on backend services, AI integrations, agent-based workflows, and AWS infrastructure.

Python is the primary language for this role.
Experience with Node.js / TypeScript is a strong advantage and an important part of the existing backend stack. Familiarity with React is a plus.

Tech Stack

Backend - Python

• Python 3.13
• Pydantic
• Strands Agents / Strands Agents Tools
• boto3
• AWS Lambda Powertools
• Loguru
• httpx / requests / aiohttp
• uv

Backend - Node.js / TypeScript

• Node.js
• TypeScript
• AWS Lambda
• AWS SDK
• Express
• Serverless Framework
• Zod
• Lodash

Cloud & Infrastructure

• AWS
• Lambda
• Cognito
• DynamoDB
• Step Functions
• Serverless
• Terraform

Frontend

• React 19
• TypeScript
• Vite
• React Query
• AWS Amplify
• Tailwind CSS
• Ant Design

Your Role

As a Backend Engineer, you’ll take ownership of backend services, APIs, integrations, AI-powered features, and agent workflows.

Most of the new backend and AI-related development is done in Python, while the product also includes existing Node.js / TypeScript services that you may contribute to.

You’ll work closely with frontend, product, CTO and participate in architecture and technical decisions.

Responsibilities

• Design, develop, and maintain backend services using Python
• Build AI- and agent-powered backend functionality
• Develop APIs and integrations with external services and AI providers
• Build and maintain serverless services on AWS Lambda
• Work with AWS services including Cognito, DynamoDB, Lambda, and Step Functions
• Design asynchronous and event-driven workflows
• Integrate LLMs and AI services into production systems
• Work with structured data and validation using Pydantic
• Contribute to existing Node.js / TypeScript backend services
• Troubleshoot backend performance, integrations, and production issues

• Participate in architecture and technical design decisions

   

Strong Plus

• Commercial experience with Node.js / TypeScript
• Ability to confidently work with an existing Node.js backend codebase
• Experience with Express
• Experience with Serverless Framework
• Experience with event-driven architectures
• Terraform or other Infrastructure-as-Code tools

AI / LLM

• Experience integrating OpenAI, Anthropic, or Google GenAI
• AWS Bedrock / Bedrock AgentCore
• Instructor
• AI agent frameworks
• Strands Agents
• Experience building LLM-powered workflows, agents, or RAG systems
•  

Frontend

• Familiarity with React and TypeScript
• Ability to understand an existing React codebase
• Ability to make occasional frontend changes when needed

Observability

• Datadog
• ddtrace
• datadog-lambda
• AWS X-Ray

Being part of 3ASOFT means having

• High level of flexibility and freedom
• Direct communication with international customers
• Competitive compensation paid in USD
• Fully remote work

Project Description:

We have a robust, hands-on engineering culture dedicated to continuous learning, knowledge-sharing, technical skill development and networking. We are an essential part of the Bank’s technology platform and develop applications for many important business areas.
Your initial project will be a core AI & Data platform, designed to provide a best in class environment for building, running and scaling AI solutions. The platform provides tools, services, frameworks and data so teams can focus on solving business problems, not rebuilding infrastructure.
• Data Scientists building analytics, ML and GenAI solutions
• Engineers and Developers integrating AI into applications and workflows
• Business users consuming AI-enabled insights and services
As a Senior Engineer, you will be responsible for managing or performing work across multiple areas of the bank's overall IT Platform/Infrastructure including analysis, development, and administration.

Responsibilities:

• Data Pipeline Development & Optimization: Design, develop, and optimize complex data pipelines using Python and PySpark/Apache Spark for large-scale data processing, transformation, and ingestion.
• Workflow Orchestration: Implement and manage data workflows and dependencies using Apache Airflow to ensure efficient and reliable data delivery.
• Containerization & Orchestration: Deploy and manage data engineering workloads and applications within containerized environments using Kubernetes, ensuring scalability, resilience, and efficient resource utilization.
• CI/CD Implementation: Design and implement robust CI/CD pipelines for automated testing, deployment, and monitoring of data engineering solutions, promoting a culture of continuous delivery and quality.
• Data Lake & Storage Management: Work with modern data lake technologies, including Apache Iceberg, for efficient data storage, versioning, and schema evolution.
• Object Storage Integration: Utilize object storage solutions for managing and accessing large volumes of unstructured and semi-structured data.
• Problem Solving: Proactively identify, diagnose, and resolve complex data-related issues, performance bottlenecks, and data quality challenges.
• Collaboration & Mentorship: Collaborate effectively with cross-functional teams including data scientists, analysts, software engineers, and product managers. Potentially mentor junior data engineers, sharing knowledge and best practices.
• Technical Leadership: Contribute to technical design discussions, propose innovative solutions, and drive the adoption of best practices within the data engineering team.
• Documentation: Create and maintain comprehensive technical documentation for data pipelines, architectures, and processes.

Mandatory Skills Description:

• Strong Python knowledge
• Familiarity with Apache Airflow, Apache Spark, Kubernetes
• Understanding of AI concepts like LLM, Embeddings, Vectors, RAG, MCP, Agents
• Java knowledge is a plus
• Good communication and interpersonal skills

Nice-to-Have Skills Description:

• Java knowledge is a plus

Languages:

• English: B2 Upper Intermediate

The client automates the daily operational workflows of hospital groups in Europe. The team is small — a tech lead and a CTO who write code themselves. We offer long-term, remote and full-time cooperation within usual CET working hours.

Location, in order of preference: Spain (a strong plus) · any EU country · Ukraine

What you will do:

— Own a set of automations end to end: build, deploy, monitor in production, fix.

— Automate hospital portals that have no API. These portals exist only in production — there is no test copy, and some actions cannot be easily undone.

— Verify your own output: there is no QA engineer and no QA team. You will not be left on your own — the tech lead and the CTO both write code daily and we share knowledge constantly — but checking your own area of work is your responsibility.

— Use AI coding agents daily; you review and stay responsible for everything they produce.

Stack

Python 3.11+ · Playwright (async Python) · Prefect 3 · PostgreSQL (SQLAlchemy 2, Alembic) · Pydantic v2 · FastAPI · uv (package manager) · AWS (ECS, S3, CloudWatch) · Textract and Bedrock (OCR and LLM in production) · Docker · GitHub Actions.

Must have:

— Python in production — automations or services you built and ran yourself, not only in test.

— Browser automation of a portal with no API — Playwright, Selenium or Puppeteer, on at least one real, live site you automated yourself.

— Actions that cannot be undone — a repeated or resumed run never performs a completed action twice: idempotency, checkpoints, dry runs, a check before the action.

— You verify your own output — against the real data: in logs, in the database, in the output itself.

— Systems thinking — you consider how a change affects the systems around it, and you direct AI agents while keeping control of the code.

• English B1+

Nice to have

Healthcare or another regulated domain · experience on teams with no staging environment and no QA team · building your own tooling around AI agents · Italian or Spanish.

Let’s start with what PLANEKS offers:

0. Fast and comfortable hiring process.

1. 100% remote work opportunity and flexitime - choose working hours between 8:00-20:00.

2. Manage your compensation $$$$ budget - Travel tickets, Work equipment, Health insurance, Software, Sport, Training.

3. Salary paid in USD + tax compensation. Revision every 12 months. We want everyone to be confident in what tomorrow brings.

4. Everything to provide a good rest. YES: Paid vacation, national holidays, sick leaves(and support in case of serious diseases). NO: overtime, work on weekends.

5. Regular feedback, mentorship, code review. Friendly and professional team that supports you. Well, we're proud of how we handle that. So you can always count on us.

6. Speaking clubs with a native speaker to constantly maintain your English level.

7. No bureaucracy - transparent processes and flat management. Working remotely means keeping things as simple as possible to work efficiently.

We propose something more significant than a job. PLANEKS means developing a new lifestyle for our colleagues and clients. So take your part in it!

This position supposes that you have the following knowledge and competencies:

1. Software development experience with:

• Python and Django.
• Other Python frameworks (e.g., Flask).
• PostgreSQL, MySQL.
• Celery, Redis, ElasticSearch.
• Cloud providers, DevOps, CI/CD.
• Unit, integration, E2E tests.

2. Knowledge of REST and experience working with REST APIs.

3. Experience with JS, HTML, CSS (Usually 0-20% of activity).

4. Communication skills in English (good writing and speaking).

You will deal and be responsible for:

1. Develop, support, and maintain projects in Python - usually, we create products from scratch but also have existing projects where the dev team should be extended. And also, we do not work with legacy codebases.
2. Solve technical challenges - all our projects are different, and you’ll never be bored with the same tasks every day, so your acquisitive mind will have great challenges regularly.
3. Take care of quality (code, test, business features, documentation) - everyone enjoys working with clean, readable code, so it is important to keep it such.
4. Participate in code reviews - usually, it is cross-reviews in the team or reviews by a senior person.
5. Communicate with internal and external teams - we’re in touch with great minds - inventive clients, and supportive colleagues!
6. Improve your technical and soft skills - just a normal evolution :)

Senior Backend Engineer (Python) needed to design and build the services that power a healthcare company enabling remote patient monitoring, clinical research, and personalized healthcare. You'll own Python services and REST APIs end to end — from discovery through to production — model and evolve the data behind them, and make foundational architectural decisions for a next-generation platform where scalability, security, and privacy are non-negotiable. You'll partner closely with frontend, mobile, clinical, and data teammates, set the technical bar for backend code and reliability, and mentor more junior engineers. This is a hands-on senior role for a backend engineer who leads non-trivial work independently and brings strong engineering judgement to a fast-paced, distributed environment.

What You'll Do:

• Drive foundational architectural decisions for our next-generation platform, ensuring scalability, security, and maintainability
• Design, build, and maintain Python services that expose well-documented, versioned REST APIs
• Model and evolve data with PostgreSQL (and NoSQL where appropriate), including schema migrations and query performance tuning
• Integrate with internal services and third-party systems (auth, payments, healthcare data sources) with clear contracts and graceful failure modes
• Design services with security and privacy by default, aligned with global healthcare compliance standards
• Write thorough automated tests at unit, integration, and contract levels using pytest
• Add the logging, metrics, and tracing needed to operate services confidently in production
• Participate in on-call and incident response for owned services, and drive blameless post-mortems and follow-ups
• Review code with care, pushing for clarity, simplicity, and good test coverage
• Use AI-assisted development tools effectively to accelerate delivery without compromising quality
• Document architecture decisions, runbooks, and API contracts so distributed teammates can pick work up easily
• Partner with product, design, and clinical stakeholders to scope features and trade-offs
• Mentor more junior backend engineers and help raise the bar on backend practices across teams

What We're Looking For:

• 3+ years of professional backend engineering experience shipping production services
• Bachelor's degree in Computer Science, Software Engineering, or a related technical field — or equivalent practical experience
• Strong, hands-on Python skills, including modern type hints, async patterns, and idiomatic project layout
• Production experience with at least one major Python web framework (FastAPI, Django, or Flask)
• A proven track record designing, building, and evolving REST APIs (OpenAPI / Swagger), with familiarity with API versioning, pagination, and error-handling conventions
• Solid SQL skills with PostgreSQL or MySQL — comfortable writing migrations and tuning queries
• Strong testing habits with pytest across unit, integration, and contract tests
• Confident with Git, code review, and trunk-based or short-lived-branch workflows
• Strong analytical and problem-solving skills, with attention to long-term maintainability
• An ownership mindset — you take features from idea to production and stay accountable after launch
• Clear written and verbal communication in English, with the ability to work asynchronously across time zones
• Pragmatism: you balance correctness, speed, and complexity appropriately for the stage of the product

Nice to Have:

• Experience working in regulated environments (HIPAA, GDPR, ISO 27001, SOC 2, or medical-device software)
• Working knowledge of event-driven architectures (Kafka, RabbitMQ, SQS, Pub/Sub)
• Experience with containerization and orchestration (Docker, Kubernetes)
• Familiarity with infrastructure as code (Terraform, Pulumi, CloudFormation)
• Exposure to observability tooling (OpenTelemetry, Datadog, Grafana, Sentry)
• Hands-on use of AI-assisted development tools to accelerate delivery
• Background in healthcare, life sciences, or another data-sensitive domain
• Experience with FHIR, HL7, or other healthcare interoperability standards
• Performance work on high-throughput or low-latency systems
• Hands-on experience deploying services to AWS, GCP, or Azure, and shipping changes through a CI/CD pipeline

What Success Looks Like:

• Demonstrated agency — you proactively identify technical gaps, architectural bottlenecks, or product opportunities and independently drive solutions to completion
• Reliable, well-tested services with healthy uptime and clear SLOs for the surfaces you own
• Predictable delivery: features shipped within agreed scope and timelines
• Strong code review and design contributions across the wider engineering team
• Growth and effectiveness of the more junior engineers you mentor
• Healthy incident response — time to detect, mitigate, and follow up on production issues

Details:
Start: asap
Duration: until 31.12.2026 (option for extention)
Location: 100% remote
Language: English
Region: Europe only (outside DACH)!!!

Skills (must have):

• Strong Python expertise combined with hands-on experience in trading or algorithmic trading
• Practical experience with trading strategies, automated trading systems, or trading platforms
• Previous exposure to energy trading, financial markets, or comparable trading environments
• A combination of strong technical/programming skills and domain knowledge in trading
• ReactJS and Java
• Cloud Providers: Microsoft Azure
• Docker, Kubernetes, Kafka
• PostgreSQL, Redis
• Microsoft Azure

Tasks:

• User onboarding and platform readiness
• Onboard new users onto the existing execution platform.
• Configure required access, permissions, and operational setup.
• Support user readiness for trading and monitoring workflows.
• Programmatic interface and risk monitoring integration
• Enhance the programmatic access layer of the execution platform.
• Develop the interface between the execution platform and the internal risk monitoring tool.
• Support automated data exchange between trading logic, execution components, and monitoring services.
• Implement or support post-trade checks, monitoring logic, and relevant control calculations.
• Advanced algorithmic trading capabilities
• Support the development of advanced algorithms for the current execution platform.
• Develop and integrate Python and Java backend applications with Azure services such as Azure Kubernetes Service, PostgreSQL, Redis, Kafka, Azure Machine Learning, and Azure DevOps.
• Extend platform capabilities to support future algorithmic trading use cases.
• Engineering collaboration and quality
• Collaborate with architects, traders, product owners, and engineering teams to design scalable, efficient, and secure software solutions.
• Ensure code quality and adherence to software development best practices, including documentation, version control, testing, and code reviews.

Job Title:

Senior Full Stack Engineer

About the Product:

Angelina AI is building an AI Workforce OS, an enterprise governance and control-plane platform that turns AI agents into managed digital workers. The system delivers identity management, real-time policy enforcement (including budget limits and guardrails), organizational memory, and full audit trails for AI agents. It supports hybrid deployments across cloud and on-premises environments for education, manufacturing, public sector, and other regulated customers. The platform handles multi-tenant SaaS architecture, unstructured input streams, vector-augmented databases, and large-scale LLM orchestration. Strong full-stack engineers enable safe, reliable production operations and fast feature delivery in a complex, high-impact environment.

About the Role:

You will join Angelina’s AI distributed core engineering team to own full-stack features that power AI agent infrastructure. This role offers end-to-end ownership - from data modeling, API design and backend logic to frontend interfaces and deployment pipelines. You will collaborate directly with product leads and customers on live enterprise and government deployments, not internal prototypes. This is a senior generalist position: you will design policy enforcement layers, integrate identity services, build LLM gateway and agent orchestration, and maintain containerized services in AWS and on-premises. Your work has an immediate real-world impact on how organizations operate digital workforces.

Key Responsibilities:

• Design and implement full-stack features, including backend services, RESTful APIs and frontend UI components
• Integrate and maintain identity management (e.g. Keycloak), file storage and LLM gateway systems
• Develop real-time policy and guardrail enforcement logic for budget controls and intent validation
• Contribute to AI agent and workflow development with tool integrations and orchestration protocols
• Own feature delivery end-to-end: data models, API contracts, business logic, and user interfaces
• Deploy, operate, and monitor containerized services on AWS ECS/Fargate and customer on-premises environments
• Collaborate with founders and customers to ensure production readiness and successful enterprise rollouts
• Participate in architecture decisions to scale platform performance, security, and multi-tenant reliability

Required Competence and Skills:

• 6+ years of professional software development experience with end-to-end full-stack ownership
• Strong Python expertise in production backend development and service frameworks
• Strong experience designing and developing scalable microservices for SaaS products.
• Solid experience with PostgreSQL and vector databases such as pgvector.
• Frontend development experience with React or Angular
• Hands-on experience working with Docker
• Practical experience building LLM-powered applications, AI agents or agentic workflows
• Strong experience supporting and maintaining solutions in production environments.
• Understanding of security and identity protocols (OAuth/OIDC, SSO) and enterprise compliance needs
• Startup mindset: autonomous, resourceful, comfortable with ambiguity and rapid iteration
• Fluent English communication skills for daily remote collaboration across time zones

Nice to Have:

• Experience with agent gateway or routing layers (e.g., LiteLLM) and MCP (Model Context Protocol)
• Familiarity with PII detection and anonymization frameworks (e.g., Presidio, NER models)
• Experience with regulated or government environments and on-premises enterprise deployments
• Prior work with distributed or offshore teams

We are looking for a Senior Full-stack Developer (Python+React) to join our team.

Required Skills & Qualifications:

• Experience: Over 5 years of hands-on experience in designing and developing scalable applications, encompassing both frontend and backend technologies.
• System Design: Proven expertise in crafting scalable system architectures and implementing effective integration strategies.
• Python Proficiency: More than 5 years of in-depth experience with Python/Django/DRF, including building robust and efficient applications.
• API & Integration Skills: Strong knowledge of RESTful API development, third-party integrations, and various communication protocols.
• Version Control & CI/CD: Extensive experience with version control systems (e.g., Git) and the setup and management of CI/CD pipelines.
• React.js (3+ years of commercial experience);
• TypeScript;
• Redux/RTK/Mobx;
• SWR/RTK-Query;
• Hooks;
• SASS, Bootstrap, or something similar;
• Problem-Solving: Exceptional analytical and problem-solving abilities, coupled with meticulous attention to detail;
• Language Proficiency: Upper-Intermediate+ English level, with the capability to lead technical calls, discussions, and collaborate effectively with global teams.

Nice to Have:

• Containerization: Familiarity with containerization technologies such as Docker, Kubernetes, or similar tools for deployment and orchestration;
• Cloud Platforms: Understanding of cloud ecosystems, including AWS, Azure, GCP, or other platforms, to support cloud-native development.

We offer:

• Maximum flexibility;
• Professional trainings, conferences and certifications;
• Corporate events and benefits;
• Professional literature;
• English courses.

We are looking for a Python Developer (microservices) to join the Dataforest team. If you are looking for a friendly team, a healthy working environment, and a flexible schedule ‒ you have found the right place to send your CV.

  You'll be a great fit if you have:

• 2+ years of experience with Python;
• Experience with SQL and query optimisation;
• Experience with integration of 3rd party services;
• Strong understanding of client-server model, REST API approach, authorization/authentication principles;
• Strong understanding of asynchronous/multithread/multiprocess programming;

• Upper- Intermediate level of English.

   

    Would be a plus:

• Experience with Redis and Lua scripts;
• Experience with AWS services (Lambda, Step Functions, API Gateway, SQS, Fargate);
• Experience with Django REST API;
• Experience with payment systems integrations (Stripe, Shopify, Recurly, PayPal, Braintree, etc.);

• Experience with Celery and async task management.

   

  What you'll do:

• Developing server applications (APIs). Within these applications, developers need to describe core logic and integrations with third-party services.
• Writing scripts similar to DAGs in Airflow or AWS Lambdas. These scripts should process information using Pandas or implement some simple business logic.
• Developing applications with a distributed architecture (microservices).

• Developing client applications for data retrieval. These data will later be processed by developers from the DS and DE departments.

   

  We ensure your growth with:

• Competitive salary fixed in USD
• Flexible working schedule and fully remote work format
• Paid vacation days and sick leave days 
• Personal and professional development opportunities
• Participation in building innovative projects from scratch using modern technologies
• Team-building activities and corporate events
• English classes and educational events.

About Company

Wise Engineering is a software company where 90% of client relationships turn into long-term partnerships, and 70% of the team are senior-level engineers. We're hiring for one of our client products.

About the Project
A secondary school scheduling platform built by former educators who lived the problem firsthand. The school schedule is one of the most consequential decisions a district makes - it shapes how staff and students spend their time, what positions are needed, and how resources are allocated across schools. With AI-powered optimization and hands-on support, the platform helps school and district leaders build schedules that reflect their academic, staffing, and budget priorities - while saving hundreds of hours in the process.

About the Role

Senior Software Engineer responsible for full-stack development of the platform's data integrations ecosystem. You will build the product and infrastructure that enables schools and districts to send and receive data to the scheduling application, and participate in limited direct customer support to stay close to real integration challenges. 

Strong English is a hard requirement - you'll work directly with non-technical

stakeholders on the customer side.

Responsibilities:

• Build and maintain data pipelines - import, validation, transformation, and export of customer data across 100+ school information systems
• Work directly with customers to enable and troubleshoot their data integrations
• Design and deliver tools and infrastructure that make the integration process more reliable and scalable
• Own key architectural decisions in your product area
• Introduce and apply AI-assisted approaches to parser and exporter development
• Own production availability - observability, incident response, and fixing what you ship
• Mentor engineers on the integration team and contribute to cross-team knowledge sharing

Requirements

Technical Skills

• 3–5+ years of experience in backend or integration-heavy domains
• Hands-on experience with data pipelines, parsers, or system integrations (SFTP, APIs, custom formats)
• Proficiency in Python and async patterns
• English C1 - you'll communicate directly with customers, often non-technical ones
• Strong ownership mindset - comfortable in a fast-moving startup with limited hand-holding
• Experience with LLM/generative AI in a production or development context - building with it, not just using Copilot

• Prior EdTech experience is a plus

   

Experience & Soft Skills

• English C1 or higher - customer-facing role requiring clear communication with non-technical stakeholders!
• Strong problem-solving skills with the ability to navigate ambiguous, loosely defined integration requirements
• Proactive communicator - keeps stakeholders informed, surfaces blockers early, doesn't wait to be asked
• Comfortable working collaboratively across product, engineering, and customer success teams
   

Tech Stack: Python, FastAPI, Pydantic v2, MongoDB, Motor, Dramatiq, RabbitMQ, Temporal, AWS (ECS Fargate, Batch, Lambda, S3, SQS), AWS Bedrock, Gurobi / OR-Tools, dbt, DuckDB / MotherDuck, pytest, GitHub Actions, Docker, Terraform, Terragrunt, Helm, Kubernetes (EKS + ArgoCD), Datadog

Project overview:

Group107 is building a dedicated AI Unit to drive automation across the company and deliver AI-powered solutions for client projects.

We are hiring Junior AI Developers who think fast, learn faster, and are already productive with modern AI-assisted development workflows.

You will work directly under the Tech Director and grow into autonomous AI engineers capable of owning full delivery pipelines.

Requirements:

• 1+ year of hands-on software development experience (commercial or substantial personal projects)
• Demonstrable proficiency with AI coding tools: Claude Code, Cursor, GitHub Copilot, or equivalent
• Working knowledge of at least one: TypeScript/JavaScript or Python
• Experience deploying web applications (Vercel, Netlify, or similar)
• Understanding of LLM fundamentals: prompting, context windows, token management, tool use
• Ability to read, debug, and refactor AI-generated code critically — not just accept output blindly
• Git proficiency and basic CI/CD awareness
• Strong English communication (both written and spoken)
   

Nice to have:

• Experience with v0, Bolt, Lovable, Replit Agent, or similar AI app builders
• Familiarity with MCP (Model Context Protocol) and agentic AI patterns
• Contributions to open-source AI tools or published AI-related content
• Experience with RAG pipelines, vector databases, or embeddings
• Backend experience with Node.js, Next.js, or FastAPI
• Understanding of DevOps basics: Docker, serverless functions, edge computing
   

Responsibilities:

• Build internal automation tools and workflows using AI coding assistants (Claude Code, Cursor, Copilot)
• Develop and ship AI-powered features and full applications for client projects
• Prototype rapidly using vibe-coding methodology — prompt-driven development with AI pair-programming
• Integrate LLM APIs (Anthropic, OpenAI, open-source models) into production systems
• Deploy and maintain applications on modern platforms (Vercel, Cloudflare, AWS)
• Create and manage AI agents, MCP servers, and tool-use pipelines
• Evaluate, benchmark, and select AI models and tools for specific use cases
• Document solutions, write technical specs, and contribute to the internal knowledge base
  
  We offer:
• 20 vacation days (workdays)
• 7 sick days
• Personalized career growth
• Education reimbursement
• Corporate events and team buildings
• Equipment provided

We're a fast-growing tech company building modern, innovative digital products - and we're looking for a Python Developer to join our team in Lviv. If you care about clean code, solid architecture, and working in an environment where your input actually matters, keep reading.

What you'll be doing

You'll be part of a cross-functional team working on real, meaningful projects - building scalable backend solutions, designing APIs, and helping shape the technical decisions that move our products forward.

What we're looking for

• Solid hands-on experience with Python
• Strong knowledge of Django and Django REST Framework
• Good understanding of OOP principles and clean code practices
• Experience working with relational databases - MySQL and/or PostgreSQL
• Confident use of Git and version control workflows
• Responsible, self-motivated, and comfortable working both independently and as part of a team

What we offer

• Full-time, in-office position in Lviv
• Official employment and a competitive salary based on your skills and experience
• Company-provided equipment
• A well-structured work schedule
• A friendly, supportive team and a comfortable office environment
• Mentorship and guidance from experienced colleagues
• Interesting and technically challenging projects to grow on

How to apply

Send us your CV - we review every application and get back to candidates promptly. This could be the start of something great.

Numerical Technologies LTD is a leading provider of custom software solutions and services specializing in risk, limits, and regulatory capital systems. We are currently looking for a Senior Python Developer to join our team.

Project: Development of a Market Risk platform for a global financial institution, supporting risk analytics, market data processing, and large-scale financial applications. 

What will you be doing?
You will design and build risk calculations for Hypothetical P&L, Risk-Theoretical P&L, and Historical VaR — owning the full HVaR pipeline end-to-end, and architecting calculation components for the upcoming Expected Shortfall extension. Along the way, you will optimise compute-intensive batch and intraday workloads, own quality through automated testing and reconciliation frameworks, and collaborate closely with quant developers and the Historical Data Store team.

What are we looking for?

• Programming: Expert-level in at least one of Python, C++, or Java/Scala, with strong Python regardless (the analytics ecosystem is Python-centric).
• Distributed/large-scale compute: Experience building or operating high-throughput calculation platforms — grid computing, Spark/Dask/Ray, or in-house distributed batch frameworks; profiling and optimising numerical workloads.
• Risk domain: Working knowledge of market risk measures — VaR (historical simulation in particular), P&L vectors, scenario shocks (absolute/relative/log returns), aggregation and netting.
• Data engineering fundamentals: Handling large time-series and position datasets efficiently (columnar formats, partitioning, memory management).
• Engineering practice: CI/CD, automated testing of numerical code (tolerance-based comparison, golden datasets), code review culture.

Nice to have: 

• Experience with HPL/RTPL production and PLA testing.
• Numerical computing depth: numpy/scipy internals, vectorisation, GPU acceleration.
• Experience integrating with quant pricing libraries via C++/Python bindings.

What we offer:

• Competitive compensation depending on experience and skills.
• Regular assessments and salary reviews.
• Paid personal days.
• Mental health support program.
• Language classes.
• Flexible working schedule.

You will own the integrations between commerce platforms (Shopify, POS, OMS, third-party SaaS) and the data that moves through them for a large replatforming program. The standard is data correctness at the systems-of-record level: orders, inventory and fulfillment must agree across every platform, provably, before and after cutover. This is a long-term, full-time engagement. It is backend integration engineering, not storefront or theme work.

Key Responsibilities:

• Build and maintain REST and GraphQL integrations with Shopify, POS, OMS and third-party business applications
• Implement OAuth flows, webhook verification and processing, retries, deduplication and error handling for production data flows
• Handle the realities of distributed data: duplicate events, out-of-order delivery, partial failures, eventual consistency
• Develop new API integrations with enterprise and SaaS platforms as the program expands
• Own SQL and BigQuery work wherever integrations require data movement or transformation
• Build automated reconciliation checks so systems of record stay in agreement
• Troubleshoot production integrations and data quality issues end to end

Requirements:

• 5+ years of backend engineering focused on API integrations between enterprise or SaaS platforms
• Strong Python in production
• REST and GraphQL integration experience on both consuming and building sides
• OAuth, API authentication, webhooks and robust error handling patterns
• Practical command of idempotency, deduplication and reconciliation design
• Strong SQL; hands-on data integration or ETL experience
• AWS deployment experience with Docker and CI/CD
• Fluent English
• Minimum 4 hours daily overlap with US Eastern time, full-time availability

Nice to Have:

• Google BigQuery
• Shopify APIs (Admin GraphQL, webhooks, Fulfillment Orders) or Salesforce Commerce Cloud
• POS, OMS, ERP or fulfillment system integration experience
• Event-driven integration patterns: queues, event buses, connectors

Job Description

Must have experience:

3+ years of professional backend development experience

Strong Python skills, including:

Object-Oriented Programming / Design
Asynchronous programming (async/await, background tasks, workers)
Experience with backend frameworks such as Django (DRF), FastAPI, or Flask

Solid understanding of backend architecture concepts:

REST APIs
Microservices
Event-driven and distributed systems
Working knowledge of:

Linux
Networking basics
Docker
Experience with tools such as Git, Jira, Jenkins

Strong analytical thinking and engineering mindset
Team-oriented approach and good communication skills
Upper-intermediate English or higher

Highly preferable experience:

Experience with relational databases (PostgreSQL, MariaDB)
Automated testing experience (Pytest or similar)
Basic frontend understanding (HTML / JS, modern frameworks)

Nice to have experience:

Cloud platforms (AWS / GCP / Azure)
Kubernetes
Go

Job Responsibilities

Design and develop scalable backend services in Python
Build and maintain REST APIs for data ingestion and exposure
Participate in architecture design (microservices, async workflows, event-driven patterns)
Integrate data from heterogeneous sources (new and legacy systems)
Work closely with frontend developers to support modern UX requirements
Ensure code quality through testing, reviews, and best engineering practices
Improve performance, reliability, and scalability of existing services
Collaborate with cross-functional teams in an Agile/Scrum environment

Department/Project Description

We are expanding the team to work on a new strategic product focused on unifying and integrating data from multiple test stations.

The project aims to:

Aggregate data from next-generation test stations, as well as legacy systems (FAST / LabView–based)
Integrate additional data sources in the future
Provide a modern backend foundation for data processing and exposure
Support a modern UX/UI layer built on top of this backend
This system will become a core data platform for manufacturing and testing of Harmonic hardware products.

Harmonic is a leading provider of innovative broadband solutions that deliver video, voice and data to communications providers around the world. GL team participates in development and QA of several generation of these solutions.

The CableOS department is about developing the new software-based network equipment which provides access to Internet/IPTV/VoIP services with using powerful servers.

It is an innovative solution for Internet Service Providers which will allow to get rid of the existing HW equipment and to migrate to the cloud, saving customers the enormous expenses for the support of huge number of hardware network equipment. Currently there are no competitors to this project in the world and Customer offers the opportunity to be at the beginning of the rapid development of the product and the opportunity to take their place in a fast-paced engineering team