Jobs Python

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

Project: Portfolio management systems for a US financial institution. 

What you will be doing:  

As part of the team, you will be participating in a client project focused on portfolio management solutions. You will help develop new software features, as well as support and maintain existing ones. You will be writing scalable and fault-tolerant code, debugging programs, and integrating applications with third-party web services. You will be collaborating closely with the client and product manager to understand the system’s functional and non-functional requirements, and contribute to code quality through unit testing, integration testing, code review, and system design using Python to build robust software that aligns with the client’s business needs. 

What we are looking for:  

• A strong programming background with Python and OOP skills.
• Deep understanding of algorithms and data structures.
• Experience building backend systems and working with REST APIs.
• Proficiency with SQL databases.
• Experience with FastAPI and Linux environments.
• Strong problem-solving skills and ability to collaborate effectively in a team environment.
• Upper-Intermediate level of English or above. 
• Experience with AWS is a plus. 

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.

Ми шукаємо Senior Python Backend Developer у продуктову команду, яка розробляє real-time платформу для крос-біржового арбітражу на perpetual futures.

Це технічно складний FinTech/crypto продукт із фокусом на швидкість виконання, стабільність, роботу з біржами та обробку даних у real-time.

Технологічний стек:

• Python 3.11+, asyncio, FastAPI, Pydantic
• PostgreSQL, SQLAlchemy async, Alembic, TimescaleDB
• Redis
• NATS JetStream, Kafka
• aiohttp, httpx, WebSockets
• ccxt та API криптобірж
• AWS, Docker, GitHub Actions
• Prometheus, Grafana, OpenTelemetry

Проєкт працює з Binance, MEXC, BingX, Bybit та іншими біржами.

Що потрібно буде робити:

• розвивати Python backend та існуючу мікросервісну архітектуру;
• працювати з real-time market data та execution flow;
• інтегрувати нові криптобіржі та підтримувати існуючі інтеграції;
• працювати з REST API та WebSockets;
• оптимізувати latency та продуктивність системи;
• працювати з PostgreSQL, Redis, Kafka/NATS;
• забезпечувати надійність системи при помилках, часткових відмовах та проблемах із зовнішніми API;
• працювати з trading logic: ордери, risk checks, retry/rollback, reconciliation;

• підтримувати observability та моніторинг системи.

   

Що ми очікуємо:

• 3+ роки комерційного досвіду з Python Backend;
• хороший практичний досвід з asyncio та асинхронним Python;
• досвід із FastAPI / Pydantic;
• впевнене знання PostgreSQL та SQL;
• досвід із distributed/event-driven системами та хоча б одним із брокерів: Kafka, NATS або RabbitMQ;
• розуміння concurrency, race conditions, retries, idempotency та partial failures;
• досвід інтеграції сторонніх API;
• самостійність та здатність працювати з технічно складними задачами.

Важливий момент:

На проєкті основний фокус саме на async Python. Тут не використовуються Django/DRF та Celery, тому нам важливий кандидат, який має реальний досвід роботи з asyncio та розуміє, як працюють конкурентність і event loop.

Умови:

• Формат: remote;
• Графік: 9:00–18:00 або 10:00–19:00;
• Оплата: у USD, двічі на місяць;
• невелика продуктова команда: Product Owner, Architect, Backend, Frontend, DevOps;

• мінімум бюрократії та багато самостійності.

   

Процес найму:

1. Коротка онлайн-зустріч із рекрутером.
2. Технічна співбесіда з CTO.
3. Офер.

На технічному етапі основний фокус буде на asyncio, concurrency, distributed systems, queues та поведінці системи при часткових відмовах.

We’re looking for a Technical (Python) Support Engineer to keep our production applications stable and fast during weekend shifts. You’ll handle incident triage, bug fixes, and small improvements while collaborating with the core team when escalation is needed.

Shift on Weekdays (From Monday to Friday) 15:00-23:00 (GMT +3)
 

What you’ll do

• Maintain and troubleshoot Python/Django web applications
• Debug and optimize database performance (PostgreSQL)
• Operate core AWS services (EC2, S3)
• Diagnose issues with cross-functional teams and implement quick fixes
• Keep code changes clean, documented, and secure
• Handle end-user requests and provide technical assistance
   

What we’re looking for:

• English: Upper-Intermediate or higher
• Experience: 6+ months with Python & Django OR no commercial experience but:
  
   
  • Completed relevant courses/bootcamps (Python, Django, Databases, AWS)
  • Strong fundamentals (data types, HTTP/REST, Git, basic Linux, debugging)
  • Hands-on projects (pet projects, labs, internships) — GitHub links welcome
• Solid knowledge of PostgreSQL (or another relational DB)
• Basic familiarity with AWS (EC2, S3)
• Strong analytical and debugging skills
• Basic understanding of REST APIs and front-end basics (HTML, CSS, JavaScript)
• Clear communicator; comfortable working independently and in a team
   

Nice to have

• Docker, Kubernetes, and CI/CD pipelines
• Web application security best practices
• Experience in an Agile environment
   

We offer:

• Paid vacation and sick leave
• We provide the equipment you need to work comfortably (if required)
• We cover 50% of courses if you want to grow professionally
• Regular salary reviews based on your performance
• Competitive salary, depending on your experience
• Always on-time payments — no delays
• A normal, supportive team without unnecessary bureaucracy

Softcery builds production-ready conversational AI systems for B2B software platforms. We partner with software companies in the US and UK to build AI agents, copilots, voice interfaces, and conversational layers that integrate directly into their products. Our team focuses on complex AI engineering - building reliable, scalable systems that work with real users, workflows, and product infrastructure. We combine deep AI expertise with strong product thinking to help companies move from AI prototypes to production-ready systems they can own and scale.

We are looking for a Strong Middle AI Engineer to lead the delivery of AI-powered products for international clients. You'll work on complex AI systems with a strong focus on Voice AI, collaborating directly with clients and taking ownership of features from design to production. 

What You'll Do:

• Deliver production-ready AI solutions for international clients from concept to deployment.
• Design and build AI-powered applications with a strong focus on Voice AI and intelligent automation.
• Integrate LLMs, third-party APIs, and business systems into scalable software solutions.
• Own technical implementation, make architectural decisions, and ensure high code quality.
• Collaborate directly with clients to clarify requirements, discuss technical solutions, and deliver business value.

• Continuously explore new AI technologies and apply them to real-world customer challenges.

   

What We're Looking For:

• 3+ years of commercial experience in Python development.
• Hands-on experience with developing AI-powered applications.
• Strong software design and problem-solving skills.
• Ability to independently own features and deliver projects with minimal supervision.
• Excellent communication skills and confidence working directly with international clients.
• English – Advanced (C1).

Will be a plus:

• Experience with React and Node.js.

What We Offer:

• Structured onboarding – a clear onboarding plan, documented workflows, and a team that has your back.
• Flexible remote schedule – work from wherever and whenever you're most productive.
• Learning budget – we cover books, courses, English lessons, and AI tools for your professional growth.
• Full accounting support – so you can focus on the work, not the paperwork.
• Time off – 20 paid vacation days, 12 sick days, 2 paid period leave days/month (for women), and your birthday off.
• IT Cluster membership – access to professional events and networking opportunities in the local tech community.

🔁 Hiring Process: Screening → Technical interview→ Test Task → Final Interview.

If you enjoy taking ownership, solving complex engineering challenges, and building AI products that create real business impact, we'd love to meet you 👋

Softcery builds production-ready conversational AI systems for B2B software platforms. We partner with software companies in the US and UK to build AI agents, copilots, voice interfaces, and conversational layers that integrate directly into their products. Our team focuses on complex AI engineering - building reliable, scalable systems that work with real users, workflows, and product infrastructure. We combine deep AI expertise with strong product thinking to help companies move from AI prototypes to production-ready systems they can own and scale.

We are looking for an AI Engineer to design and build AI agents, Voice AI solutions, and intelligent automations. You'll work with modern LLMs, agent frameworks, and production AI systems that solve real business problems.

What You'll Do:

• Build AI agents, Voice AI solutions, and intelligent automation workflows.
• Design and develop AI-powered applications using modern LLMs and agent frameworks.
• Build RAG pipelines and integrate AI systems with APIs, databases, CRMs, and third-party services.
• Design prompts, agent workflows, memory, and tool-calling capabilities.
• Optimize AI systems for performance, reliability, scalability, and cost efficiency.
• Explore new AI models, frameworks, and technologies, applying the best solutions to real-world use cases.

• Collaborate with engineers and clients to deliver production-ready AI solutions.

   

What We're Looking For:

• 1–3 years of commercial experience in AI Engineering.
• Strong Python skills.
• Hands-on experience with LLM APIs (OpenAI, Anthropic, Gemini, etc.) and AI-powered applications.
• Experience with LangGraph, LangChain or similar frameworks.
• Understanding of prompt engineering, RAG, embeddings, vector databases, and AI orchestration concepts.
• Strong problem-solving skills, ownership mindset, and eagerness to learn.

• English – Upper-Intermediate (B2) or higher.

   

What We Offer:

• Structured onboarding & mentorship – a clear onboarding plan, documented workflows, and a team that has your back.
• Flexible remote schedule – work from wherever and whenever you're most productive.
• Learning budget – we cover books, courses, English lessons, and AI tools for your professional growth.
• Full accounting support – so you can focus on the work, not the paperwork.
• Time off – 20 paid vacation days, 12 sick days, 2 paid period leave days/month (for women), and your birthday off.
• IT Cluster membership – access to professional events and networking opportunities in the local tech community.

🔁 Hiring Process: Screening → Technical interview→ Test Task → Final Interview.

If you're excited about building AI products that solve real business problems and want to work with the latest AI technologies every day, we'd love to meet you 👋

We are expanding our talent pool of Python Backend Engineers to support upcoming international projects across various industries, including FinTech, Healthcare, E-commerce, Logistics, and SaaS.

While there is no immediate project assignment, selected candidates will become part of our network and will be among the first to be considered when new opportunities matching their expertise become available.

Our backend projects typically involve designing scalable web applications, RESTful APIs, cloud-native solutions, and microservice architectures using modern Python technologies.

We’re looking for a Technical (Python) Support Engineer to keep our production applications stable and fast. You’ll handle incident triage, bug fixes, and small improvements while collaborating with the core team when escalation is needed.
 

What you’ll do

• Maintain and troubleshoot Python/Django web applications
• Debug and optimize database performance (PostgreSQL)
• Operate core AWS services (EC2, S3)
• Diagnose issues with cross-functional teams and implement quick fixes
• Keep code changes clean, documented, and secure
• Handle end-user requests and provide technical assistance
   

What we’re looking for:

• English: Upper-Intermediate
• Experience: 6+ months with Python & Django OR no commercial experience but:
   
  • Completed relevant courses/bootcamps (Python, Django, Databases, AWS)
  • Strong fundamentals (data types, HTTP/REST, Git, basic Linux, debugging)
  • Hands-on projects (pet projects, labs, internships) — GitHub links welcome
• Solid knowledge of PostgreSQL (or another relational DB)
• Basic familiarity with AWS (EC2, S3)
• Strong analytical and debugging skills
• Basic understanding of REST APIs and front-end basics (HTML, CSS, JavaScript)
• Clear communicator; comfortable working independently and in a team
   

Nice to have

• Docker, Kubernetes, and CI/CD pipelines
• Web application security best practices
• Experience in an Agile environment
   

What we offer

• Flexible choice of shift blocks
• Supportive team and transparent processes
• Fast track to real production experience

Join a Company That Invests in You

Seeking Alpha is the world’s leading community of engaged investors. We’re the go-to destination for investors looking for actionable stock market opinions, real-time market analysis, and unique financial insights. At the same time, we’re also dedicated to creating a workplace where our team thrives. We’re passionate about fostering a flexible, balanced environment with remote work options and an array of perks that make a real difference.

Here, your growth matters. We prioritize your development through ongoing learning and career advancement opportunities, helping you reach new milestones. Join Seeking Alpha to be part of a company that values your unique journey, supports your success, and champions both your personal well-being and professional goals.

What We're Looking For

Role Overview: You will take ownership of the search infrastructure for Ask Seeking Alpha — a financial intelligence platform powered by LLMs. Your main goal is to ensure our AI agents can find the exact financial data they need (articles, transcripts, news) in milliseconds. You will work on the Retrieval layer of our RAG architecture, combining traditional text search with modern vector search techniques.

Tech Stack: Elasticsearch (v8+), Python (FastAPI, Asyncio), OpenAI Embeddings, LangChain, LangSmith.

The Senior Search Engineer will be engaged with the company as a contractor (Private Entrepreneur).

What You'll Do

• Search Engine Development: Design and implement Hybrid Search strategies. You will figure out how to best combine "keyword matching" (finding specific tickers like 'AAPL') with "semantic search" (finding concepts like 'revenue growth').
• Relevance Tuning: You are responsible for the quality of search results. You will build systems to measure and improve how well the search engine answers user queries (using tools like LangSmith).
• Vector Search & RAG: Manage the integration of OpenAI embeddings into Elasticsearch. You will solve challenges related to indexing long documents (e.g., earnings transcripts) so the AI retrieves only the most relevant parts.
• Performance Optimization: Optimize Elasticsearch queries and index settings to ensure low latency, even for complex queries with many filters.
• Python Backend: Develop and maintain the Python services that build queries and process results. We use FastAPI and Asyncio heavily.

Requirements

• Elasticsearch Expert: 5+ years of experience working with Search Engines in production. You understand how indices, analyzers, and mappings work "under the hood."
• Search Theory: You understand the difference between Lexical Search (keywords) and Vector Search (meaning), and know when to use which.
• Python Proficiency: Strong experience with Python 3.10+. You are comfortable writing asynchronous code (async/await) and building APIs.
• Data Engineering: Experience designing data schemas for search (how to structure JSON documents for efficient retrieval).

Nice to Have

• Experience building RAG (Retrieval-Augmented Generation) pipelines.
• Familiarity with LangChain or similar LLM frameworks.
• Experience with Evaluation tools (like LangSmith) to test search quality automatically.
• Background in Finance (understanding tickers, earnings calls, etc.).

We are looking for an experienced Senior Full Stack Engineer with strong Python expertise to take ownership of production applications and contribute across backend, frontend, database, and cloud environments.

Responsibilities

• Design and develop scalable web applications and backend services using Python
• Build REST or GraphQL APIs with Django, FastAPI, or similar frameworks
• Develop modern frontend applications using React or Angular
• Design and optimize PostgreSQL database models and queries
• Integrate third-party services and enterprise systems
• Implement automated testing and CI/CD pipelines
• Participate in architecture and technical-planning discussions

• Take ownership of development tasks and delivery

   

Requirements

• 5+ years of professional software-development experience
• Strong commercial experience with Python
• Experience with Django, FastAPI, or similar backend frameworks
• Strong knowledge of PostgreSQL, SQL, and relational database design
• Experience with React, Angular, Vue.js, or Next.js
• Experience with Docker, cloud deployment, and CI/CD
• Strong understanding of REST APIs and modern web application architecture
• Ability to work independently and take ownership of delivery

• Professional English

   

Nice to have

• AWS or Azure
• Kubernetes and Terraform
• Kafka, RabbitMQ, or other event-driven technologies
• Microservices and enterprise integrations
• GraphQL
• AI/LLM integration experience
• Experience in FinTech, banking, insurance, healthcare, or other regulated domains

This is an application to join CML Team. Selected engineers will be contacted when a suitable project matches their experience, availability, location, and rate.

To apply: Please include your CV, current location, availability, preferred contract type, and expected hourly or daily rate.

About Us:

Evowill is looking for a Junior Python AI Developer who is passionate about web development and eager to grow in a supportive and dynamic environment. We offer a clear path: starting with a hands-on internship and transitioning into a commercial project role — 100% of our juniors join real projects.

Requirements:

• Python, Django
• SQL (MySQL / PostgreSQL)
• REST API, OOP
• Linux (basic)
• Git, GitHub/GitLab
• English: Intermediate
• Pet projects on GitHub/GitLab
• Fast learner, organized, responsible

Would be a plus:

• Technical education (3rd year or higher)
• Practical experience gained through pet projects with Django, SOLID, Docker, CircleCI, JavaScript, React, HTML, CSS, non-relational databases, and testing.

Internship Stage (3 months):

• Full-time, practical learning
• Pet projects, technical interview preparations, and soft skills training
• English Speaking Club
• Senior Developers mentors from Ukraine and Colombia
• Technologies: JS, TS, React, Next.js, Python, Django, FastAPI, Docker, PostgreSQL, AWS, Qdrant, Ollama, LLMs and embedding models, etc.

Project Stage:

• Join commercial projects as a Full Stack Developer oriented to AI
• Salary from $1000 with regular reviews
• Ongoing mentorship and technical support
• Optional English-speaking club and extra tech learning

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

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.

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