Jobs Python

About the Role:

We are seeking a motivated Junior Verification Engineer to join our VLSI design and verification team.

This is an excellent opportunity for new graduates with strong academic training in digital design, verification methodologies, and SystemVerilog/UVM.

Responsibilities:

Develop and execute verification testbenches using Verilog/SystemVerilog and UVM

Implement functional and constrained-random tests for block-level and SoC-level designs

Create coverage models (functional, code, assertion-based) and drive coverage closure

Debug simulation failures, interface mismatches, and RTL issues

Write and maintain scoreboards, monitors, agents, drivers, and checkers in UVM

Review design specifications, extract test requirements, and build verification plans

Run regressions, triage failures, and document results

Collaborate closely with RTL designers, DFT, backend, and system architects

Required Qualifications:

B.Sc. or M.Sc. in Electrical/Computer Engineering or related field

Strong academic background in digital logic, computer architecture, and VLSI design

Hands-on experience with Verilog and SystemVerilog (labs, projects, internship)

Basic understanding of UVM methodology

Familiarity with simulation tools (VCS, QuestaSim, Xcelium or similar)

Ability to read and understand RTL code

Good analytical and debugging skills

Strong motivation to grow in advanced functional verification

Nice-to-Have Skills:

Coursework or project experience with UVM testbench development

Familiarity with assertion-based verification (SVA)

Basic scripting (Python, Perl, Shell, TCL)

Experience with coverage-driven verification

Exposure to SoC-level interfaces (AXI, PCIe, DDR, Ethernet, SPI, I2C)

What We Offer:

Full training in modern verification methodologies (UVM, SVA, CRV)

Work with cutting-edge IPs and SoC architectures

Mentorship from senior verification and architecture teams

Clear growth path toward UVM specialist, verification lead, or architect

We are looking for a talanted Full-stack (Python+React) Developer who can take end-to-end ownership of features and contribute to the core of our AI-driven platform. 
The project is an agentic workflow platform for marketing teams that takes over routine and complex processes and automates them using AI. The product brings together data management, content creation, campaign execution, and analytics into a single system that behaves like a real team member. The platform helps marketing teams make and execute thousands of decisions daily within a SaaS product.
 

The profile:

As a Full-stack Developer, you will design and build reliable, well-functioning solutions across both the frontend and backend. You take responsibility for your work from concept to release, collaborate closely with other engineers, and ensure smooth implementation and support after deployment. You understand complex product needs, translate them into scalable solutions, and actively contribute to improving processes, tools, and development practices.
 

Requirements:

• 4+ years of experience building SaaS web applications;
• Strong proficiency in TypeScript & React and Python & FastAPI;
• Comfortable working fullstack and owning features end-to-end;
• Experience with cloud environments (Google Cloud preferred);
• Clear communication, strong writing skills, and ability to work asynchronously;
• Team-oriented, low-ego, proactive mindset;
• Plus: experience with AI systems or enterprise marketing workflows;
• Plus: experience scaling production systems.
   

We offer:

• Full-time position;
• Challenging and interesting projects from European companies;
• Competitive salary & bonus system;
• Flexible work schedule;
• Free English classes;
• Knowledge-sharing events, e.g. DevTalks;
• Unforgettable and interesting corporate events;
• Team-buildings;
• Accounting as a service.

YozmaTech isn’t just another tech company - we’re a global team of go-getters, innovators, and A-players helping startups and product companies scale smarter and faster. We build dedicated development teams across 10+ countries, creating strong, long-term partnerships based on trust, transparency, and real impact. Here, every idea counts. We value people who are proactive, open-minded, and ready to grow. If you’re passionate about building meaningful products and want to join a team that feels like family - you’ll feel right at home with us.

Our client's product enables users to build financial solutions designed for SMBs that turn manual monthly and quarterly reporting processes into automated ones.

We are looking for a highly skilled and passionate Lead Python Engineer with strong Django expertise and a passion for startups to join our team!

Key Requirements:

🔹 Bachelors degree in Computer Science or related field;
🔹 5+ years of experience in software development in a SaaS company;
🔹 Fluent in Python (Django);
🔹 Excellent knowledge and experience with building, optimizing, and maintaining large-scale production systems;
🔹 Experience with writing unit tests and integration tests;
🔹 Experience with Relational DBs (Postgres, MSSQL);
🔹 Experience and familiarity with Cloud Architecture and services;
🔹 Knowledge of REST and experience working with REST APIs;
🔹 Familiar with KISS, DRY, SOLID, OOP;
🔹 Knowledge of Celery;
🔹 English - Upper-Intermediate or higher.

Will be plus:

🔹 Familiarity with Azure;
🔹 Knowledge of RabbitMQ;
🔹 Knowledge of Redis;
🔹 Knowledge of Excel Add-Ins.

What you will do:

🔹 Take part in developing the backend of the SAAS application;
🔹 Develop and lead end-to-end development of new features and services in a multi-service environment while maintaining high quality and standards;
🔹 Develop scalable web APIs, implement sophisticated business logic, and develop asynchronous services in a data-oriented, scalable application;
🔹 Take part in a multidisciplinary team involving algorithms/frontend/UI/DevOps;
🔹 Play a significant role in the entire development life-cycle, from design to production.

Interview stages:

🔹 HR Interview;
🔹 Tech interview with Team Lead;
🔹 Interview with PM;
🔹 Interview with VP R&D (optional);
🔹 Reference check;
🔹 Offer.

Would you like to help democratize the future of video technology? 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 build custom AI models for video transcoding and live streaming. and help power the future of video. From Per-Title Encoding AI and Speech-to-Text with translations, we’re shipping the feature that will help power the next generation of video platforms to deliver the best viewer experiences in the world.
 

Your Goals

• Maintain, improve, and extend Qencode backend APIs (recent focus on FastAPI)
• Own and evolve billing workflows: usage calculation, credits/quotas, invoicing-related logic, billing events, and correctness checks.
• Build and maintain integrations (like HubSpot and Metabase) and adjacent internal tooling.
• MySQL schema design, indexing, query improvements, and data integrity.
   

Required skills

• Strong backend engineering experience with Python.
• Hands-on experience with FastAPI (and comfort maintaining Flask services).
• Solid database skills (schema design, SQL, query troubleshooting) — MySQL experience is a strong fit.
• Experience with message brokers (RabbitMQ preferred).
• Experience writing and maintaining database migrations.
• Comfort integrating with external services/APIs (OAuth/auth flows, webhooks, rate limits, retries, idempotency).
   

Nice-to-haves

• Experience with ClickHouse.
• Exposure to BigQuery or modern analytics stacks.
• Payments/billing domain experience (usage-based billing, invoices, proration, reconciliation).
• Experience building reliable integration pipelines (queues, background jobs, retries, observability).
• Familiarity with containerization (Docker, Kubernetes).
   

Benefits

• An opportunity to work on the latest video technology in a fast-paced and dynamic environment.
• Learn from experienced leaders. Work directly with the founding team.
• Room to grow. As Qencode grows, so will your role and career path.
• Join an environment of innovation where new ideas are encouraged and rewarded.
• Be part of something big. Help shape how the next generation of developers build with video.
• Professional development and career growth opportunities including an education credit.
• Improve your English with constant channel communication in an accessible environment.
• Take advantage of free training and certification opportunities with AWS, GCP, or Azure
• 100% Remote position working with a global team.
   

About Us

Qencode is on a mission to develop cloud video APIs that democratize the latest video technology for developers around the world. Our platform combines transcoding, live streaming, storage, and global delivery in one unified API, leveraging the latest breakthroughs in artificial intelligence and video processing.

A trusted technology partner to the most demanding companies (including NVIDIA, AWS, Google, and DigitalOcean), Qencode serves clients ranging from high growth startups to Fortune 500 around the world.
 

We have several unique features, like machine-learning powered Per-Title Encoding which reduces file sizes 60% without quality loss, while supporting popular formats like HLS, MPEG-DASH, MP4 and WebM. With flexible customization and competitive pricing, we’re built for enterprise-scale deployment across any workflow.

Founded in 2017, Qencode is headquartered in Los Angeles, CA.

We are looking for highly motivated junior engineers to join our Design-for-Test (DFT) team.

This is an excellent opportunity for graduates who want to build expertise in Scan, Memory BIST, and JTAG within advanced VLSI development.

Responsibilities:

Learn and support implementation of scan insertion and scan chain architecture

Assist in ATPG pattern generation and test coverage analysis

Participate in Memory BIST (MBIST) integration and verification

Work with JTAG / IEEE 1149.1 boundary scan concepts and flows

Help debug test-related issues at RTL and gate level

Collaborate with senior DFT engineers on SoC-level test strategy

Required Background:

Academic knowledge in digital logic, VLSI design, and computer architecture

Basic familiarity with DFT concepts: scan, ATPG, BIST, boundary scan

Understanding of Verilog or VHDL

Scripting basics (Python, TCL, Shell)

Good analytical and problem-solving skills

Strong motivation to learn industry-standard DFT tools and flows

What We Offer:

Full training in Scan, MBIST, JTAG, ATPG, and DFT methodologies

Mentorship by experienced DFT engineers

Exposure to advanced SoC development flows and signoff

Growth path toward senior DFT, test architecture, or silicon bring-up roles

Who we are:
Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries. 

About the Product:
Our client is developing a cutting-edge cybersecurity analytics platform designed to give enterprises a comprehensive understanding of their digital environments and security posture. The system continuously aggregates and correlates large-scale data from multiple sources, applies graph-based modeling and AI-driven analytics, and delivers real-time insights that help organizations prioritize and remediate high-impact risks.

About the Role:
We are looking for a Senior Python Engineer to work on a cloud-native SaaS, the platform that leverages advanced data processing pipelines, continuous integration and delivery, and distributed computation to ensure high availability and performance across global deployments.

If you’re motivated by technical depth, data-intensive systems, and building tools that solve real-world security challenges, this is the place for you.

Key Responsibilities:

• Design, develop, and scale innovative product features and backend systems leveraging cutting-edge technologies.
• Contribute your technical expertise to impact architectural and technology decisions, ensuring solutions meet stringent standards for scalability, reliability, and performance.
• Consistently promote and apply world-class engineering standards, tools, and best practices to maintain technical excellence and optimize delivery efficiency.

Required Competence and Skills:

• 5+ years of experience in software engineering
• Extensive experience in Python 
• Experience with AWS
• Practical user-level experience working with Dockerized services and Kubernetes-based environments.
• Experience with PostgreSQL/MySQL, including modeling and performance tuning
• Experience working with Agile environments
• Excellent English and communication skills

Nice to have: 

• Big Data experience – big advantage
   

Why Us?

We provide 20 days of vacation leave per calendar year (plus official national holidays of a country you are based in).

We provide full accounting and legal support in all countries we operate.

We utilize a fully remote work model with a powerful workstation and co-working space in case you need it.

We offer a highly competitive package with yearly performance and compensation reviews.

On behalf of our Client, a well-established financial institution from the Caribbean region Mobilunity is looking for a Python Developer (Data Access Layer / DAO Focus) for a long-term engagement.

Our Client is the largest bank in the Caribbean region that serves 14 countries/territories. The aim is to make this organization from a traditional bank into a new era of fintech, working on the edge of what current fintech may offer.

Value to the Team:

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

Core Competencies: 

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

• Data Access Objects (DAO): Implements DAOs to encapsulate access to  specific resources, enabling standardized CRUD-style operations. 

• API Integration: Strong expertise in REST APIs, including handling  authentication, pagination, and rate limits. 

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

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

Typical Deliverables: 

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

• Documentation and usage guidelines for other teams to consume the DAL. 

• Error handling and retry logic abstracted within the DAL so that client code  remains clean. 

• Unit and integration tests to validate DAL/DAO correctness and robustness. 

• Experience with cloud environments (AWS especially) 

• Level of English - Upper-Intermediate and higher

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

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

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

Value to the Team: 

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

We are looking for a skilled Python Developer who is located in Lviv. You will work on building and maintaining high-quality backend solutions, improving system performance, and contributing to the technical architecture of our products.

Responsibilities

- Develop, maintain, and optimize backend services using Python.

- Design and improve application logic, data processing workflows, and integrations.

- Collaborate with the team to define technical requirements and implement best practices.

- Write clean, well-structured, and testable code.

- Participate in code reviews and contribute to continuous improvement.

- Work closely with frontend developers.
 

Requirements

- Strong experience with Python development.

- Solid understanding of software design principles, clean code, and modern development practices.

- Experience working with APIs, data structures, and system integrations.

- Ability to work independently as well as in a team environment.

- Good communication skills and attention to detail.

- Upper-Intermediate English.
 

Nice to Have

- Experience with React.js or understanding of frontend-backend collaboration.

- Familiarity with cloud platforms, CI/CD, or containerization tools.

- Knowledge of SQL or NoSQL databases.

We are looking for a Senior Back-end Developer (Python/Django) to join a long-term production project.
The role includes hands-on development and technical leadership in a small backend team, working on a high-load system deployed on AWS and actively integrating with third-party services.


Experience

• 7+ years of commercial back-end development experience
• Proven experience in a Senior / Lead role or strong readiness for a Team Lead position
   

Core technologies

• Python (strong knowledge, clean and maintainable code)
• Django (architecture, ORM, performance tuning)
• Async Python: aiohttp, asyncio (used selectively in production)
• Message brokers: RabbitMQ, Kafka
• Caching / storage: Redis
• Databases:
  • PostgreSQL (primary database, strong SQL skills)
  • MongoDB (secondary / auxiliary storage)
     

Architecture & performance

• Experience with hybrid architectures (monolith + microservices)
• Understanding of high-load systems (≈35k requests per minute)
• Designing scalable, fault-tolerant backend solutions
• API design and optimization
   

Integrations

• Hands-on experience with third-party API integrations
• Handling authentication, rate limits, retries, and error handling
   

Cloud & Infrastructure

• AWS (production environment)
• Docker, Kubernetes on AWS
• Understanding of deployment pipelines and infrastructure concepts
  (CI/CD is handled by a dedicated DevOps engineer)
   

Team Lead responsibilities

• Code reviews and enforcing code quality standards
• Making architectural and technical decisions
• Partial task decomposition and technical planning
• Mentoring 2–3 backend developers
• Hands-on development - 60-70%
   

Soft & process skills

• Strong ownership and responsibility for backend part of the system
• Ability to work in a product-oriented outsourcing model
• Clear communication within a distributed team
   

Our mission at Geniusee is to help businesses thrive through tech partnership and strengthen the engineering community by sharing knowledge and creating opportunities🌿
Our values are Continuous Growth, Team Synergy, Taking Responsibility, Conscious Openness and Result Driven. We offer a safe, inclusive and productive environment for all team members, and we’re always open to feedback 💜 If you want to work from home or work in the offices in Kyiv or Lviv with stable electricity and Wi-Fi , great — apply right now.


Job Description:
We are seeking a Senior Full-Stack Software Engineer to design and build high- performance, scalable distributed systems and APIs that power mission-critical products serving millions of users. This role requires deep expertise across backend, frontend, data systems, and cloud infrastructure, with a strong focus on performance, reliability, and low-latency engineering. You will work across the stack—from designing fault-tolerant microservices and high-throughput APIs, to implementing modern front-end applications using Next.js, to
optimizing databases, search systems, and caching layers. You will also collaborate closely with cross-functional teams to architect robust cloud deployments, ensure operational excellence, and maintain strong engineering standards.

Preferred Qualifications:
● 6+ years of experience in full-stack or backend engineering, including architecting complex systems.
● Strong programming experience with Python stack and libraries and
TypeScript/Node.js.
● Strong hands-on experience with modern Python libraries and frameworks used
for backend development, API design, performance optimization, and (if applicable) machine learning or data processing.
● Required Python familiarity includes: FastAPI, Pydantic, Asyncio,
PyMongo/Motor, Redis-Py, HTTPX/Requests, Uvicorn/Gunicorn, and PyTest.
● Hands-on experience with MongoDB, Redis, Azure Servicebus and OpenSearch in production.
● Strong understanding of REST API design, async patterns, and distributed system fundamentals.
● Expertise with cloud platforms, preferably Azure, and orchestration using Kubernetes.
● Experience optimizing performance at scale (latency, throughput, caching, indexing).
● Familiarity with GitHub, Git workflows, CI/CD, and DevOps best practices.
● Strong communication skills and ability to influence architectural direction.

Responsibilities:
● Design and build high-performance REST APIs and microservices using FastAPI, Python, Node.js, and TypeScript.
● Architect scalable, low-latency systems capable of supporting millions of requests per day.
● Implement distributed caching, queueing, and event-driven architectures using Redis, pub/sub, and async patterns.
● Develop backend services with strong security, observability, and fault tolerance.
● Build and optimize schemas, indexes, and queries across data stores such as MongoDB and Redis.
● Use MongoDB Compass and OpenSearch Dashboards extensively for query analysis, profiling and optimization.
● Reduce system latency, increase throughput, and improve overall reliability through distributed tracing, load testing, and architectural improvements.
● Identify and resolve performance bottlenecks across the stack.
● Maintain strong infrastructure practices including monitoring, logging, tracing, and alerting.
● Work closely with product, ML, data, and infrastructure teams to design scalable systems aligned with business requirements.
● Drive engineering best practices including code reviews, architectural documentation, security reviews, testing strategies, and performance standards.
● Able to rapidly diagnose issues and identify root cause across the entire software stack, and across distributed services including frontend (Next.js/React), backend services (FastAPI/Node.js), databases (MongoDB, Redis), and search systems (OpenSearch).

What will you get:
● Competitive salary and good compensation package;
● Exciting, challenging and stable startup projects with a modern stack;
● Corporate English course;
● Ability to practice English and communication skills through permanent interaction with clients from all over the world;
● Professional study compensation, online courses and certifications;
● Career development opportunity, semi-annual and annual salary review process;
● Necessary equipment to perform work tasks;
● VIP medical insurance or sports coverage;
● Informal and friendly atmosphere;
● The ability to focus on your work: a lack of bureaucracy and micromanagement;
● Flexible working hours (start your day between 8:00 and 11:30);
● Team buildings, corporate events;
● Paid vacation (18 working days) and sick leaves;
● Cozy offices in 2 cities ( Kyiv & Lviv ) with electricity and Wi-Fi ( Generator & Starlink )
● Compensation for coworking (except for employees from Kyiv and Lviv)
● Corporate lunch + soft skills clubs
● Unlimited work from home from anywhere in the world (remote);
● Geniusee has its own charity fund.

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

Requirements:

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

About Revenue Grid

Revenue Grid is a B2B SaaS Revenue Intelligence platform helping sales teams across the US eliminate revenue leaks and make better, data-driven decisions.

We are actively growing our Applied AI & Generative AI direction — a focused engineering team working on real, production-level AI features embedded directly into the product, not experimental demos.

Our goal is to turn LLM capabilities into reliable, scalable tools that solve concrete business problems for sales teams.

What You’ll Do

• Design and implement AI-powered features using Large Language Models (LLMs)
• Build and evolve RAG pipelines, agent-based workflows, and multi-step reasoning systems
• Work hands-on with LangChain and/or LangGraph
• Develop PoCs and MVPs and take them to production-ready solutions
• Integrate AI services with existing backend systems and data sources
• Collaborate closely with product, backend, and data teams
• Continuously experiment with new tools, frameworks, and techniques in applied AI

What You Bring

• Strong Python skills and solid software engineering fundamentals
• Practical experience with prompt engineering
• Hands-on experience with LangChain and/or LangGraph
• Good understanding of LLMs, embeddings, vector databases, and RAG architectures
• Experience working with LLM APIs (OpenAI, Anthropic, Azure OpenAI, etc.)
• Ability to design reliable AI workflows rather than just calling an API
• Product-oriented mindset and ownership mentality

Nice to Have

• Experience with FastAPI
• MLOps or LLM evaluation and monitoring
• Experience with Kafka or data streaming
• Cloud platforms (AWS, GCP, Azure)
• Background in SaaS / B2B products

Why Revenue Grid

• Remote-first setup with flexible working hours
• Real ownership and autonomy — no micromanagement
• Applied AI in production, not just research
• Unlimited vacation policy
• Medical insurance after the trial period
• Strong product culture and experienced engineering team
• Opportunity to grow into AI Architect or Technical Lead roles

Ready to build real AI features used by thousands of sales professionals? 
We’d love to meet you — apply now.

Product: SaaS platform for package management, route optimization, and delivery operations.

Responsibilities

• Design and develop backend services using Python (FastAPI).
• Build and maintain REST APIs for core platform functionality.
• Work with PostgreSQL: schema design, query optimization, migrations.
• Develop frontend components using JavaScript / TypeScript.
• Integrate frontend and backend layers with a focus on performance and reliability.
• Collaborate with product and engineering teams to translate business requirements into technical solutions.

• Participate in code reviews and contribute to improving development standards.

   

Requirements

• 3+ years of experience in full-stack development.
• Strong hands-on experience with Python and FastAPI (or similar async frameworks).
• Solid knowledge of PostgreSQL (indexes, joins, performance considerations).
• Practical experience with JavaScript and TypeScript.
• Understanding of RESTful API design and data modeling.
• Ability to work independently and take ownership of features.
• Strong knowledge of best practices for web application development and architecture.
• Experience with GIT, understanding of CI/CD, task management (JIRA, or other).

• Experience in PyTest and end-to-end tesing frameworks. 

   

Nice to Have

• Experience working on SaaS products or data-driven systems.
• Experience with routing, logistics, or optimization-heavy systems.
• Familiarity with basic cloud concepts (AWS, GCP, or Azure).
• Exposure to containerized environments (Docker).

Product: SaaS platform for package management, route optimization, and delivery operations

Responsibilities

• Develop backend services using Python (FastAPI).
• Design and maintain PostgreSQL schemas and data access layers.
• Build and maintain APIs consumed by web and service clients.
• Implement and manage infrastructure on AWS.
• Use Terraform to define and maintain infrastructure as code.
• Deploy and operate services using AWS-native container solutions (e.g., ECS, ECR, Fargate).
• Monitor, troubleshoot, and improve system reliability and performance.\
• Implementing CI/CD pipelines, experience with GIT, understanding GitFlow

• Work closely with the product and engineering team to support continuous delivery.

   

Requirements

• 3+ years of experience in backend or full-stack development.
• Strong experience with Python and FastAPI.
• Solid understanding of PostgreSQL.
• Hands-on experience with AWS in production environments.
• Practical knowledge of Terraform.
• Experience deploying and operating containerized services on AWS.

• Understanding of CI/CD pipelines and basic observability (logs, metrics).

   

Nice to Have

• Experience scaling SaaS platforms.
• Familiarity with route optimization, logistics, or data-intensive systems.
• Knowledge of frontend technologies (JavaScript / TypeScript) and CI/CD nuances

Join our Core Team as a highly skilled Python Developer to build and scale our high-load Geospatial AI Data Platform. You will be the critical link, productionizing Data Science models and transforming massive volumes of raw imagery into meaningful, structured insights that power our client-facing product. If you're driven by complex, high-scale big data challenges, this is the role for you. 

Key Responsibilities: 
● Data Pipeline Development: Implement and optimize robust ETL data pipelines for collecting, cleaning, transforming, and loading large volumes of geospatial data. 
● API Development & Deployment: Design, build, and maintain high-speed, scalable RESTful APIs (using frameworks like FastAPI/Powertools for Lambda). 
● Model Integration & Productionization: Work closely with Data Scientists to containerize and deploy models (e.g. roof age prediction) into our Geospatial AI Data Platform. 
● Code Quality & Optimization: Write clean, efficient, testable, and reusable Python code. Optimize data processing and platform latency to handle requests and queries at massive scale and high volume. 
● System Architecture: Contribute to the design and implementation of our Microservices and Serverless architectures, ensuring high availability, security, scalability and observability. 
● Collaboration: Work within an Agile team alongside Data Scientists, DevOps, and Product Managers to translate business requirements into technical solutions.

Required Qualifications: 
● B.Sc. degree in Computer Science or a related technical field. 
● Demonstrable professional experience as a Python Developer with a focus on data-intensive backend systems (4+ years). 
● Expert knowledge of Python 3, follow PEP8. 
● Experience developing using OOP and SOLID principles. 
● Proven experience designing and developing production-ready APIs using a modern Python web framework such as FastAPI or Powertools for AWS Lambda. 
● Experience with AWS services such as S3, SQS, EC2, API GW, Lambda, DynamoDB, CloudFormation/SAM using boto3. 
● Experience with Docker/Kubernetes. 
● Experience with Linux, preferably Ubuntu. 
● Experience with SQL Databases (e.g. PostgreSQL) 
● Experience with version control (Git) and collaborative development workflows. 
● Good communication skills in English

Preferred/Bonus Qualifications: 
● Experience with geo-spatial libraries (e.g., Geopandas, GDAL, Shapely, Rasterio). 
● Familiarity with model serving technologies such as NVIDIA Triton Inference Server. 
● Experience with Workflow Management platforms such as Apache Airflow. 
● Experience with on-prem servers. 
● Knowledge of CI/CD pipelines (GitHub Actions) and DevOps best practices