Remote / EU time zone / EU / UK / Dubai, Czech Republic Prague / Berlin based or Remote within EU time zone +/- 2 hrs About Podproza: Join our innovative team at Podproza, where we are committed to making blockchain and next-generation payments safe and transparent for forward-thinking businesses. We provide strategic insights, data-driven analysis, and unmatched expertise in on-chain security solutions, offering valuable peace of mind to leading blockchain innovators. Role Overview: As a Senior Python Software Engineer at Podproza, you’ll take a lead role in the development of our backend systems, working on cutting-edge blockchain projects and data-driven tools to combat cryptocurrency fraud and financial crime. You’ll work in a collaborative, international team to build scalable, high-performance Python applications that integrate seamlessly with our analytics pipelines and distributed systems. Key Responsibilities: Design and develop backend systems using Python (3.11+) and modern frameworks such as FastAPI. Architect and implement scalable, secure, and reliable software systems for blockchain analytics and monitoring. Collaborate with data scientists and DevOps engineers to build and deploy machine learning models and data pipelines. Build and maintain RESTful APIs, microservices, and automated workflows. Develop tools for process automation, data ingestion, and system optimization. Perform code reviews, implement unit/integration tests, and follow deployment best practices (GitLab CI, Continuous Delivery, etc.). Mentor team members, share knowledge, and contribute to engineering standards and best practices. Your Qualifications: Required: 8+ years in software development, with a focus on Python in production environments. Strong knowledge of Python core concepts, including asynchronous programming, typing, and memory management. Solid knowledge of standard algorithms and data structures. Experience with at least one Python framework (FastAPI, Flask, or Django). Solid understanding of software architecture, system design, and backend engineering. Familiarity with CI/CD pipelines, Docker, and DevOps workflows. Experience working with relational and/or NoSQL databases (PostgreSQL, MongoDB, etc.). Excellent problem-solving skills and the ability to work independently. Fluency in English (written and spoken); Czech is not required. Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Bonus Points (Preferred Skills): Exposure to blockchain technology, Web3, or on-chain analytics. Experience with graph algorithms. Experience with cloud platforms like AWS, GCP, or Azure. Familiarity with Spark, Redis, or Kafka. Knowledge of data science pipelines, ETL processes, or machine learning model deployment. Technologies We Use: Python, FastAPI, Spark, Redis, PostgreSQL, Docker, Kubernetes, GitLab CI, AWS, GCP.

Remote, United States, United States TECH | Backend Python Developer 3-5 years of experience Location: United States - Remote NOTE: Must be authorized to work in the United States as secret clearance may be needed in the future Hours: East coast hours Why This Role Matters: Are you passionate about building robust, high-performance backend systems? As a Backend Python Developer, you’ll play a key role in shaping the company’s technology initiatives, collaborating closely with front-end developers, product owners, and QA engineers to deliver cutting-edge software solutions. You’ll work with modern tools like FastAPI, NATS, and Jira, contributing to projects that have real-world impact across Defense, Transportation, Utilities, Public Safety, and Telecoms. What You’ll Do: Design, implement, and maintain clean, efficient, and reusable Python code for backend services. Collaborate with cross-functional teams to deliver high-quality, scalable software solutions. Leverage modern version control practices with Git to streamline development. Contribute to innovative solutions that solve complex, mission-critical challenges. Skills & Experience We’re Excited About: Backend Python Development – Proven experience building and maintaining backend systems. FastAPI – Experience building APIs and services using the FastAPI framework. Git – Strong version control skills to manage code efficiently. Jira – Comfortable tracking tasks and collaborating using Jira. Bonus Expertise: SDR (Software Defined Radio), NATS.io, NumPy/SciPy for scientific computing, and RF (Radio Frequency) knowledge.

London or New York, USA or UK My Client is hiring a Senior Software Engineer for a team that builds internal tools to empower their developers, ensuring they have everything needed to succeed. Their code is critical to their business and as they are moving towards a more open source way of working as opposed to building everything internally, you will collaborate with Engineers and Data Scientists to create impactful software using Python. This is a very high impact role and will offer very high renumeration in relation to this. Python expert. Have worked on open source Data Science libraries. Passion for improving technology and building things.

Remote, United States Backend Python Developer w/ 3-5 years of experience Remote: Client company based in Tysons Corner, Virginia Location: Continental USA (Due to the nature of the business US Citizenship is required) You may possibly travel to the corporate office in the Washington, DC Metro area 1-3 times per quarter. Hours: East coast hours Why This Role Matters Are you passionate about building robust, high-performance backend systems? As a Backend Python Developer, you’ll play a key role in shaping the company’s technology initiatives, collaborating closely with front-end developers, product owners, and QA engineers to deliver cutting-edge software solutions. You’ll work with modern tools like FastAPI, NATS, and Jira, contributing to projects that have real-world impact across Defense, Transportation, Utilities, Public Safety, and Telecoms. What You’ll Do Design, implement, and maintain clean, efficient, and reusable Python code for backend services. Collaborate with cross-functional teams to deliver high-quality, scalable software solutions. Leverage modern version control practices with Git to streamline development. Contribute to innovative solutions that solve complex, mission-critical challenges. Skills & Experience We’re Excited About Backend Python Development – Proven experience building and maintaining backend systems. FastAPI – Experience building APIs and services using the FastAPI framework. Git – Strong version control skills to manage code efficiently. Jira – Comfortable tracking tasks and collaborating using Jira. Bonus Expertise SDR (Software Defined Radio) NATS.io, NumPy/SciPy for scientific computing RF (Radio Frequency) knowledge.

Worldwide (Remote), Worldwide (Remote) Location: Worldwide (Remote) Duration: 6 months (with possible extension) Hours: Flexible (see below) Rate: Competitive (see below) Introduction The Syria Justice and Accountability Centre (SJAC) is Computer Vision & Machine Learning Engineer (Consultant) for a 6-month remote engagement, with potential extension. The role supports mission-driven projects using open-source tools, emphasizing scalability and reliability. The ideal candidate will bring deep expertise in visual computing and natural language processing (preferably Multilingual NLP and RTL languages such as Arabic), with a strong track record of applying these skills to real-world problems. You should be comfortable working across the full ML lifecycle, from model design and training to deployment and monitoring, and be motivated by work that combines technical innovation with social impact. Scope of Work Design and optimize computer vision and machine learning algorithms. Build scalable CV systems for large image datasets. Develop preprocessing pipelines (e.g., detection, deskewing) to enhance OCR. Evaluate OCR technologies/models optimized for Arabic documents. Build end-to-end pipelines from image input to feature extraction, classification, and clustering. Solve technical challenges in CV and integrate models into SJAC products. Write clean, production-grade code following best practices. Required Qualifications Education & Core Expertise MSc in Computer Vision or Machine Learning, or BSc in Computer Science with AI or CV specialization. Equivalent relevant working experience may be accepted. Proven experience in the fields of Computer Vision and Machine Learning (specifically Deep Learning). Track record of leading CV/ML projects from concept to production. Technical Skills Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. Experience with both ML-based and traditional CV techniques, including OpenCV. Strong understanding of modern deep learning architectures, including transformer-based. Hands-on experience with open-source libraries and model hubs, such as Hugging Face. Deployment & Infrastructure Experience deploying ML models on cloud platforms (e.g., AWS) with resource constraints. Skilled in designing production ML pipelines using MLOps tools (versioning, workflows, monitoring, optimization) Ability to evaluate and optimize ML systems for metrics such as speed, scalability, and power consumption. Bonus Skills Ability to read and understand Arabic is a strong plus. Familiarity with ML-based OCR technologies. Hands-on experience with open-source libraries and model hubs, such as Hugging Face. Familiarity with large vision models and multimodal architectures. How to Apply The contract may be extended beyond the initial six-month period based on performance and funding availability. Candidates are asked to propose an hourly rate for their services. The final rate and working hours will be agreed with the successful candidate

Remote, United States Six Feet Up is seeking a Data Engineer with 12+ years of experience designing, building, and maintaining robust and scalable data pipelines. In this role, you will have the opportunity to work on a variety of challenging projects across different industries, delivering high-quality solutions that drive business value. If you are a motivated Data Engineer seeking a challenging and rewarding role, we encourage you to apply. Your Technical Expertise Hands-on experience with ETL processes and Airflow Strong understanding of DevOps and data engineering best practices (containers, CI/CD, automated testing) A Plus: Familiarity with the various cloud platforms Your Essential Skills and Qualities You understand our clients’ problems and aspirations. You proactively seek and provide actionable feedback from/to peers. You are reliable in delivering work, and you escalate issues quickly when needed. You promote good practices while following company methodologies to ensure deliverable quality and stability.

Remote, United States Six Feet Up is looking for a full-time Senior Python Developer/DevOps Engineer to create beautiful back-end code powering sophisticated Python-based web projects and to deploy, manage, and maintain our infrastructure and applications. Your Technical Expertise 15+ years of professional Python web development experience Proficient in Django, Flask, or similar frameworks Unix/Linux System Administration and deployment experience Experience working with Terraform, Docker and Kubernetes Ability to maintain, improve, and document AWS, Azure and GCP infrastructures DevOps and Automation experience (CI/CD, Grafana, etc.) A Plus: AI/ML/Big Data Experience Understanding of AWS and/or Azure APIs Innovative understanding of cloud processes and improvements Your Essential Skills and Qualities You understand our clients’ problems and aspirations. You proactively seek and provide actionable feedback from/to peers. You are reliable in delivering work, and you escalate issues quickly when needed. You promote good practices while following company methodologies to ensure deliverable quality and stability.

Bogota, Medellin or Cartagena, Cundinamarca, Antioquia, Bolivar, Colombia JOB OVERVIEW We are seeking an experienced Data Engineer with strong skills in software development using Python language, SQL, AWS, and CI/CD practices, particularly Infrastructure as Code using AWS CDK. This role focuses on designing and implementing serverless data pipelines and cloud infrastructure to build end-to-end data solutions that extract, transform, and catalog data from various sources. You will collaborate closely with data science teams to ensure data accessibility and quality for their analytics and modeling initiatives. ROLE WILL INVOLVE, BUT NOT BE LIMITED TO: Design and implement serverless data pipelines using AWS services Build and maintain data lakes and ETL processes Create automated deployment pipelines Collaborate with data science teams Implement data governance and security best practices MINIMUM QUALIFICATIONS Python (5+ years) - Strong development background AWS Cloud & Services expertise (especially Lambda, S3, Athena, Glue) Infrastructure as Code (AWS CDK/CloudFormation) Data Engineering fundamentals (ETL/ELT, data modeling, pipeline design). PREFERRED QUALIFICATIONS Experience with AWS Lake Formation AWS Datazone EventBridge & Step Functions knowledge CI/CD pipeline implementation API integration experience SOFT SKILLS Strong analytical thinking and problem-solving abilities. Excellent communication and collaboration skills across technical and non-technical teams. Ability to self-manage and thrive in dynamic environments. Curiosity and a mindset of continuous learning. Must be able to communicate professionally in English, listening, writing and speaking. BENEFITS Compensatory days off to maintain a healthy work–life balance. Certification support to boost your professional development and continuous growth. Birthday bonuses, because we celebrate your personal milestones as much as your professional ones. Opportunity to work on projects with Fortune 100 clients, gaining exposure to world-class environments. Competitive salaries, aligned with the market and your talent. Comprehensive social security coverage, ensuring your peace of mind and well-being. 5+ years of experience in software development / data engineering with cloud technologies (Phyton and AWS) Location Hybrid: 2-3 days a week work from office in Colombia (preferably in Bogotá, Medellín, or Cartagena) Requirement Fluent in English - preferably has work with large U.S. Clients human.resources@mps-group.us

Bogotá, Medellin, or Cartagena, Cundinamarca, Antioquia, Bolivar, Colombia We are seeking an experienced Data Engineer with strong skills in software development using Python language, SQL, AWS, and CI/CD practices, particularly Infrastructure as Code using AWS CDK. This role focuses on designing and implementing serverless data pipelines and cloud infrastructure to build end-to-end data solutions that extract, transform, and catalog data from various sources. You will collaborate closely with data science teams to ensure data accessibility and quality for their analytics and modeling initiatives. ROLE WILL INVOLVE, BUT NOT BE LIMITED TO: Design and implement serverless data pipelines using AWS services Build and maintain data lakes and ETL processes Create automated deployment pipelines Collaborate with data science teams Implement data governance and security best practices MINIMUM QUALIFICATIONS Python (5+ years) - Strong development background AWS Cloud & Services expertise (especially Lambda, S3, Athena, Glue) Infrastructure as Code (AWS CDK/CloudFormation) Data Engineering fundamentals (ETL/ELT, data modeling, pipeline design). PREFERRED QUALIFICATIONS Experience with AWS Lake Formation AWS Datazone EventBridge & Step Functions knowledge CI/CD pipeline implementation API integration experience SOFT SKILLS Strong analytical thinking and problem-solving abilities. Excellent communication and collaboration skills across technical and non-technical teams. Ability to self-manage and thrive in dynamic environments. Curiosity and a mindset of continuous learning. Must be able to communicate professionally in English, listening, writing and speaking.

Farmington Hills, MI, United States The Software Engineer will join an agile development team responsible for developing, integrating and maintaining Python based systems and applications that support our data analytics, reporting, system integration and data science initiatives. The Software Engineer should be passionate about code quality and software excellence, with extensive development experience. Collaborating closely with other analysts, architects, and team members is a must. This role blends software engineering, data management, and analytical problem solving to drive business insights and efficiency. Design, develop, and maintain Python applications for data processing, analytics, system integration, and reporting. Integrate internal and external systems through APIs, databases, and automation scripts. Build, optimize, and document ETL (Extract, Transform, Load) workflows for structured and unstructured data. Work closely with business teams to understand data requirements and deliver scalable, reliable solutions. Implement best practices in code quality, data security, and performance optimization. Contribute to technical documentation and ensure smooth handoffs across teams. Participate in the internal community of practice sessions. Perform all work in accordance with RouteOne quality programs.