Jobs

Our client is an international product-based IT company specializing in the iGaming industry. Born in 2014, they rocked the CIS region, and now take the success to the world.

We are currently looking for a Python Developer to join the Core team.

👥 About the team:

The Core team is responsible for the mission-critical services of the platform: user management (IAM), financial transactions, anti-fraud, and event history.
We are actively decomposing a legacy monolith (Python/Tornado) and rewriting critical parts of the system using a modern tech stack.

📋 Key responsibilities and your contribution:

• Decomposing the monolith by extracting functionality from the Core service (Python 3.6+/Tornado) into microservices
• Developing and supporting services for transaction processing (a business-critical area)
• Designing asynchronous processes with RabbitMQ/Kafka
• Optimizing MongoDB (shared database antipattern) and migrating services to PostgreSQL
• Integrating with internal payment systems and external anti-fraud providers
• Refactoring heavily debt-loaded code (tech debt 9/10) and increasing test coverage (currently <20%)
• Building and optimizing server-side applications and microservices for processing data
• Setting up and maintaining integrations with external financial systems, payment gateways
• Writing unit tests, conducting integration testing, optimizing performance, and debugging code issues

📚 Your qualifications:

• 3+ years of experience with Python (working with both legacy and modern code)
• Strong knowledge of PostgreSQL and MongoDB in production
• Experience with asynchronous programming (asyncio, multithreading)
• Solid skills in SQL and ORM usage (we are migrating to PostgreSQL)
• Hands-on experience with high-load systems
• Strong debugging, optimization, and problem-solving skills
• Excellent communication skills to collaborate with technical and non-technical stakeholders

➕ Nice to have:

• Experience decomposing monoliths into microservices
• ORM optimization via RAW queries
• FastAPI framework knowledge
• Familiarity with GoLang or Node.js
• Experience with RabbitMQ/Kafka
• Previous work with financial systems or payment solutions
• Experience with Redis

Benefits:

⭐ Days of recovery: 20 paid vacation day per year and unlimited sick leave days.
⭐ Health: corporate medical insurance, a company psychologist and a Cafeteria of Benefits for personal wellness choices.
⭐ Education: a variety of foreign languages course for you to choose from. Also we are open for your development and you can choose different courses /training for improving your skills.
⭐ Compensation: additional benefits that can be used according to company policy, e.g. paid business trips, international conference opportunities, lunch perks at our offices etc. 
⭐ Work Environment: work remotely or from one of our offices in Cyprus, Portugal, Poland, equipped with the equipment you'll need for success. 

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

This is a per-project, milestone-based role that could turn into a full-time position for the right candidate. 

Description:
We are building an AI-powered training platform designed for enterprise clients. The platform allows companies to create and deploy AI personas that simulate real conversations for sales, customer service, and compliance training. These personas are powered by LLMs, can interact via voice and chat, and are enhanced with custom video avatars for a more engaging learner experience.

Your role:
You’ll own the Python side of our stack, driving AI integrations and backend logic. You’ll work closely with our team to ensure APIs, services, and models are running smoothly and efficiently.

Responsibilities:

• Develop and maintain Python-based services powering the AI platform
•  Integrate LLMs (OpenAI, Anthropic, etc.) and video/avatar APIs (HeyGen, D-ID, ElevenLabs, etc.)
• Optimize backend logic for performance, scalability, and compliance
• Collaborate with frontend (Next.js) and Node.js services for seamless experiences
• Deliver clean, well-documented, production-ready code
   

Requirements:

• Expert in Python (async, API frameworks, data pipelines)
• Experience with AI/LLM integrations and external APIs
• Familiarity with enterprise security practices (SSO, Okta, RBAC, encryption)
• Strong problem-solving and debugging skills
• Ability to quickly onboard into an existing codebase

Job Summary:
As a Python Robotics Software Engineer, you will be instrumental in developing state-of-the-art software for autonomous drone systems, focusing on FPV quadcopters and fixed-wing UAVs designed to operate in GNSS-denied environments. You will work on integrating ML algorithms with Ardupilot, Python, and other technologies to push the boundaries of unmanned aerial systems.
 

About the Project:
Our company is at the forefront of enhancing sensing and surveillance for defense, security, and critical infrastructure. We are developing autonomous navigation systems for drones that can perform in environments where GPS and radio signals are unavailable. Our technology combines advanced ML, CV, and sensor fusion to enable real-time object recognition and autonomous drone control.
 

Essentials:
— A minimum of 3 years of experience in software development.
— Strong proficiency in Python and robust solution design skills.
— Excellent work ethic.
— Basic knowledge of ML and algorithms.
— Excellent communication skills and the ability to collaborate effectively in a remote, asynchronous team environment.
— Readiness to learn new things and grow.
 

Responsibilities:
— Design and implement advanced flight control systems using Ardupilot, Python, and ML integration, optimizing them for edge computing.
— Develop robotics frameworks and ensure their stability and quality.
— Integrate ML models that enable autonomous navigation, real-time object recognition, and precise drone control.
— Apply mathematical concepts and algorithms to solve complex problems related to drone dynamics and navigation.
— Troubleshoot and resolve hardware and software issues to ensure reliable and efficient drone operations.
— Collaborate with a team of engineers to innovate and push the limits of unmanned aerial systems.
— Participate in code reviews and provide constructive feedback to maintain high-quality code standards.
— Stay informed about the latest advancements in drone technology, ML, and AI, and apply this knowledge to enhance our systems.
 

Nice-to-Haves:
— C++ experience.
— Experience with drone technology, autonomous systems, or robotics.
— Experience with Ardupilot, ML integration, and algorithm development.
— Strong math fundamentals.
— Experience with reinforcement learning, SLAM, and LIDAR integration for precision navigation.
— A Master’s or PhD degree in Computer Science, Engineering, Math, or a related field.
— Familiarity with real-time object recognition algorithms, CNNs, and modern communication protocols used in UAV systems.
— Understanding of drone electronics, flight dynamics, and flight control systems, including PID tuning.
— Experience with ROS.
 

Join us to innovate in the world of unmanned aerial systems and contribute to solutions in modern defense.

S-PRO, a top-tier Digital Innovation and Software Engineering company. We specialise in providing cutting-edge services for fast-growing businesses and enterprises, with a strong focus on Finance, Renewable Energy and Healthcare domains and expertise in AI, Blockchain and Data Science. Our team of over 200 dedicated professionals works tirelessly across our global offices to develop innovative digital solutions that drive sustainable business value and increase our client’s competitiveness in a dynamic digital landscape.
 

Key Responsibilities:

• Lead project planning and translate high-level ideas into executable technical work
• Stay hands-on while supporting and mentoring a small engineering team
• Design and develop scalable APIs using Python and AWS Lambda
• Define and manage OpenAPI contracts for backend services
• Build and evolve PostgreSQL data models on AWS RDS
• Maintain infrastructure as code using Terraform (Lambda, ALB, RDS, S3)
• Create efficient CI/CD pipelines via GitLab
• Integrate Amazon Bedrock for AI workflows (e.g., document summarization)
• Participate in sprint planning, code reviews, and stakeholder syncs
• Advocate for best practices in testing, security, and collaboration
   

Requirements:

• 5+ years of Python 3 experience
• Solid experience with FastAPI or similar frameworks
• Production experience with AWS Lambda and API Gateway/ALB
• Strong knowledge of PostgreSQL in cloud environments
• Terraform expertise for cloud infrastructure provisioning
• Familiarity with OpenAPI/Swagger
• Proficient in Git workflows and GitLab CI/CD
• Confident with Amazon S3 in production
• Comfortable working in Agile teams and cross-functional settings
• Strong communication skills and fluent spoken English

Nice to Have:

• Experience leading technical projects or small teams
• Experience with Amazon Bedrock or other LLM integrations
• Background in fintech or asset management is a plus
• Knowledge of AWS monitoring tools (e.g., CloudWatch, X-Ray)
• Understanding of serverless security best practices
• Previous consultancy or client-facing experience
   

What we offer:

• Long team focus: we create an environment of transparent communication, and minimal bureaucracy, which leads to long-term relationships.
• Development of niche expertise: we are working in several niches, such as FinTech, healthcare, and logistics. Therefore, our employees can develop their own expertise in these domains.
• Continuous learning: we create employee development plans / personal roadmaps /quick promotion processes.
• Internal career development: 80% of our current executives were promoted to those positions within S-PRO. We encourage initiative. If a person wants to set new challenges and grow, we will definitely support them.

Benefits and perks:

• Flexible schedule.
• Remote work model.
• Medical insurance
• Paid vacations
• Paid Sick-leaves.
• Paid State holidays.

We’re building a proof-of-concept engine that predicts the ROI of automating manufacturing

processes using simulation and statistical modelling.

Must-Have Skills

• Strong experience in simulation modelling, ideally Discrete Event Simulation (DES).

• Ability to build Monte Carlo–style simulation engines at scale.

• Solid understanding of statistical distributions and their application in scenario testing.

• Experience with sensitivity analysis to identify risks and drivers.

• Ability to produce transparent, well-documented, explainable code.

Nice to Have

• Familiarity with ERP/manufacturing process data.

• Experience with risk modelling or uncertainty quantification.

• Knowledge of manufacturing operations.

• Experience scaling simulations (parallelization, cloud).

Tech Stack

• Language flexible, but Python strongly preferred (SimPy, SALib, NumPy, SciPy, PyMC, etc.).

• Integration with our PHP product will come later (e.g. via API).

Deliverables (POC Scope)

• Simulation engine that can run multiple automation scenarios, apply distributions,

execute Monte Carlo runs, and output ranges with sensitivity results.

• Clear documentation of modelling assumptions, code structure, and extension paths.

Candidates will be required to sign an NDA before receiving further details

The company is a global marketing tech company, recognized as a Leader by Forrester and a Challenger by Gartner. We work with some of the world’s most exciting brands, such as Sephora, Staples, and Entain, who love our thought-provoking combination of art and science. With a strong product, a proven business, and the DNA of a vibrant, fast-growing startup, we’re on the cusp of our next growth spurt. It’s the perfect time to join our team of ~450 thinkers and doers across NYC, LDN, TLV, and other locations, where 2 of every 3 managers were promoted from within. Growing your career with the company is basically guaranteed.

Requirements

• At least 5 years of experience with .NET with some experience in Python, or, alternatively, at least 5 years of experience in Python with some experience with .NET.
• At least 3 years of experience in processing structured terabyte-scale data.
• Solid experience in SQL (advanced skills in DML).
• Hands-on experience with OLAP storage (at least one of Snowflake, BigQuery, ClickHouse, etc.).
• Deep understanding of data processing services (at least one of Apache Airflow, GCP Dataflow, Apache Hadoop, Apache Spark, etc.).
• Experience in designing distributed cloud-native systems.
• Experience in automated test creation (TDD).
• Experience in working with AI tools.

Advantages

• Being fearless of mathematical algorithms (part of our team’s responsibility is developing ML models for data analysis; although knowledge of ML is not required for the current position, it would be awesome if a person felt some passion for algorithms).
• Experience in DevOps.
• Familiarity with Docker and Kubernetes.
• Experience with GCP services would be a plus.
• Experience with IaC would be a plus.

We’re looking for a Python Developer to join us on a part-time basis for a short-term project (2–3 months). You'll work on backend development using modern tools and async programming. The project involves working with APIs, databases, integrations, and background tasks. 

What You’ll Work With:

• Python 3.13 and async programming (FastAPI, Uvicorn, HTTPX)
• PostgreSQL (asyncpg, SQLAlchemy, Alembic)
• Redis, Celery
• Docker, Gunicorn
• Integrations: AWS S3 (aioboto3), Stripe, SMTP (aiosmtplib)
• Auth & Logging: JWT, bcrypt/passlib, Sentry, Loguru
• Testing: pytest, pytest-asyncio, freezegun
• Code style/tools: pre-commit, Black, isort
• Bonus: pandas, openpyxl, Pillow, qrcode

What We Expect:

• 3+ years of experience with Python
• Experience with async development
• Ability to work independently and write clean, tested code
• Available part-time during the project
• Good communication skills

We are looking for a Senior Python Developer with strong AWS serverless expertise to optimize systems, resolve performance challenges, and share best practices across our internal community.

Requirements:

• At least 7 years of experience in software development
• Proven experience as a Senior Python Developer with strong problem-solving and debugging skills
• Deep hands-on expertise in AWS serverless ecosystems (Lambda, DynamoDB, and related services)
• Familiarity with event-driven and integration patterns (MuleSoft or other middleware/integration tools)
• Strong communication and collaboration skills, with the ability to document and share technical best practices
• Experience mentoring teams or driving technical communities will be a plus
• English proficiency at B2/C1 level (Upper-Intermediate to Advanced)

Responsibilities:

• Review, refactor, and optimize Python-based solutions for performance, scalability, and maintainability
• Identify and resolve technical performance issues across AWS serverless workloads
• Design and implement solutions leveraging AWS services such as Lambda, DynamoDB, API Gateway, Step Functions, SQS/SNS, EventBridge, and others
• Support and improve system integrations (e.g., MuleSoft and similar platforms)
• Contribute to a community of practice, sharing guidelines and best practices for Python development

We offer:

• A full-time job and a long-term contract
• Paid vacation and sick leave
• Managing your taxes and accounting
• Optional benefits package that includes Health insurance, Gym membership, English courses, compensation of certification, courses, and training
• Creative and lively team of IT specialists, adequate management, and zero unnecessary bureaucracy

Senior Software Engineer — Rank.ai

At Rank.ai, our goal is to help companies understand and optimize how they rank in AI (ChatGPT, Perplexity, Gemini), not just in Google. As AI becomes the primary way people discover information, we’re building tools that give businesses visibility into their AI rankings and provide insights to improve through content creation and analytics.

We’re looking for an early-stage founding engineer to join as our core backend hire. This role is ideal for someone with 7+ years of professional software engineering experience who has built systems from the ground up and is eager to do it again in a fast-moving startup. You’ll be working directly with the founders to define both the product and the technical foundation.

What You’ll Work On

• Designing and building backend systems with Python, FastAPI, and SQLAlchemy.
• Managing high-throughput pipelines with Redis and asynchronous architectures.
• Owning scalability and reliability on AWS in a production environment.
• Establishing best practices for unit testing, code quality, and maintainability.
• Collaborating in an async-first communication style (Slack, docs, PRs) with minimal meetings.

Nice to Have

• Experience with React or frontend development.
• Prior startup experience or having built products 0→1.
• Interest in product direction and technical strategy, not just execution.

What We Value

• Good communication: clear, thoughtful, and async-friendly.
• Initiative: you take ownership, spot problems, and drive solutions.
• Experience: 7+ years building software, with a track record of taking systems from zero to production.
• Startup mindset: resourceful, adaptable, and excited to work as the core backend engineer on a small team.
• A pragmatic balance of speed and quality, with strong appreciation for testing and long-term reliability.

At Qencode, we’re not just at the cutting edge of video technology, we’re redefining it! We partner with Fortune 500 companies like NVIDIA, AWS, and Google to power the future of video. From Per-Title Encoding AI to Speech-to-Text and subtitles, we’re shipping innovations that change how the world experiences video.

We’re looking for a Python Backend Engineer who’s eager to own high-impact work across video encoding and live streaming. In this role, you’ll build and optimize Python services, automate API-driven tests and workflows, and dig into performance bottlenecks across processing and delivery to keep systems fast and highly available. You’ll craft internal libraries, contribute to open source, and run proofs of concept with new tech to push our platform forward. Ideal candidates are hands-on with ffmpeg and message brokers (RabbitMQ), comfortable deploying workflows in the cloud — perfect for someone who wants to move quickly, wear multiple hats, and shape a modern streaming stack end-to-end.

• Goals
  • Build and optimize Python-based services for video encoding and live streaming workflows.
  • Automate critical processes, including API-driven testing of video encoding and streaming services.
  • Develop internal libraries and contribute to open-source projects aligned with our platform.
  • Conduct proofs of concept with emerging technologies to enhance platform capabilities.
  • Identify bottlenecks in video processing and streaming systems and drive performance improvements.
  • Debug and resolve complex system issues to ensure high availability and performance.

Qualifications
 

• Strong experience with Python backend development.
• Proven ability to automate workflows and optimize system processes.
• Experience with message brokers (RabbitMQ preferred).
• Hands-on with video processing tools (e.g., ffmpeg).
• Experience deploying on cloud platforms (AWS, GCP, DigitalOcean).
• Familiarity with media storage and CDN solutions (e.g., Backblaze B2, Fastly).

Preferred Skills
 

• Familiarity with containerization (Docker, Kubernetes).
• Experience with streaming protocols (RTMP, HLS, DASH).
• Knowledge of CI/CD pipelines and testing automation.

About Us
Uitop is a design & development team that helps B2B SaaS products feel simple, modern, and easy to use. We develop intuitive, scalable UI/UX for fast-growing B2B SaaS platforms across industries like logistics, finance, construction, and more.

Job Summary

We are looking for a skilled Python Developer to join our team and contribute to the development of scalable, high-performance SaaS platforms. You’ll work closely with a technically strong CTO and collaborate directly with clients, shaping backend solutions that are both efficient and product-oriented.

What you have
- At least 3-4 years of experience developing backend (Python or otherwise).
- At least 2-3 years of exp with Python (Ideally 3-4 years)
- Necessary Experience with Django.
- Upper-Intermediate English level. Be ready to communicate with the client directly, without a Project Manager. The CTO of the project is an experienced person with a technical background, maximally involved in the product, ready to share his experience.
- Skill in Mathematics and Algorithms. We care about a person’s thinking, his approach to solving complex problems.
- A lot of focus for us on the backend is around “Product Thinking”.
- Fast learner (We have small internal mini-framework on top of Django to make things easier which requires ramp up / learning phase). Be ready to propose and implement your decisions.

Nice to have:
- Experience integrating with 3rd party APIs (REST API, or webhooks etc).
- Experience with Pydantic model, Postgres SQL DB, AWS, Any data processing skills.

About the project:
Develop an innovative and universal Operating System for Jewelry Stores aimed at improving communication with customers and simplifying work processes. 

We provide:

• Vacation 18 working days per year, 10 Sick Days.
• Working with complex SaaS systems for a long time, from 6 months.
• Performance&Salary review constantly.
• Compensation for professional development activities: 50% covered after the trial period.
• Free Internal English classes.
• Flexible work schedule, remote.
• Financial compensation of coworking 100% (during blackouts).
• Company equipment. We’ll provide a laptop after 6 months of work, and if you’d like any other tech to make your job easier, we cover 50% of it.

If you’re looking for a long-term, challenging project and want to influence the product with your decisions, you’re our perfect match.

We are looking for experienced Python/C++/C Back-End Engineer.
 
In this role, you will be responsible for developing and maintaining sophisticated software systems. Your work will involve integrating various machine learning / computer vision components into a system running on the edge device, ensuring high performance, reliability, and real-time capabilities. You will collaborate closely with engineers and researchers to build cutting-edge solutions for UAVs and autonomous systems.

Responsibilities:

- Deployment of computer vision processing systems to the edge
- Development of microservices and monolithic architectures
- Real-time systems optimization in terms of latency and bandwidth

Core Skills:
 

• 3+ years of experience in development with a focus back-end programming
• Strong expertise in C++
• Proficient expertise in Python
• Linux development and system-level programming, networking for real-time data transmission
• Concurrency and parallel computing (both in data layer parallelism and instruction layer parallelism)
  
  Experience in these areas would be a plus:
   
• Embedded systems and low-level optimization
• GStreamer, OpenCV, PyCuda (or similar)
• MAVLink protocol
• Companion computers (NVIDIA Jetson, Raspberry Pi, Intel, etc)
• Neural network accelerators (e.g., TensorRT, OpenVino)
• Debugging and profiling tools

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