Python Engineer

Blend360

16h • Hybrid

About The Position

This role focuses on supporting the design and implementation of scalable, cloud-based data and identity-related platforms. The Python Data Engineer will work closely with application, product, and platform teams to build and maintain infrastructure components, APIs, and integrations that support Identity and Access Management (IAM) and data access frameworks. The position requires solid Python development skills, hands-on experience with AWS and Terraform, and the ability to collaborate with globally distributed teams. The role is open to candidates based in Uruguay or Argentina, with remote work available and hybrid options in Montevideo.

Requirements

• 2–3 years of experience developing, debugging, and testing Python applications.
• Understanding of software engineering best practices (version control, code reviews, CI/CD basics).
• Hands-on experience with Terraform (and ideally Terraform Enterprise), including using modules and managing changes safely.
• Experience working with AWS services such as Lambda, ECS, API Gateway, DynamoDB, Aurora RDS, SNS, SQS, ALB.
• Familiarity with event-driven architectures and serverless and/or containerized solutions.
• Basic experience contributing to CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, or similar).
• Good communication skills and ability to collaborate with cross-functional, distributed teams.
• Willingness to work flexible hours occasionally to support global collaboration when needed.
• Advanced English proficiency is required for effective communication with international teams and stakeholders.
• 2–3 years of experience in data engineering, backend engineering, or related roles.

Nice To Haves

• Basic knowledge of access management and authorization concepts.
• Exposure to RBAC, ABAC, or PBAC models.
• Familiarity with the ServiceNow platform.
• Prior exposure to IAM or identity-centric data platforms (Okta, IGA tools, etc.).

Responsibilities

• Develop and maintain Python-based services and integrations that support IAM and access management platforms.
• Support cloud infrastructure deployments using Infrastructure as Code (Terraform / Terraform Enterprise) with guidance from senior engineers.
• Assist with onboarding internally hosted, SaaS, and homegrown applications into centralized data and access frameworks.
• Help implement and support integrations between IAM tools and enterprise platforms such as IGA solutions, ServiceNow, and Okta.
• Perform data mapping and data management activities to integrate application user access data.
• Contribute to building and maintaining Terraform Enterprise (TFE) projects, AWS resources, and reusable modules.
• Support event-driven and serverless solutions using AWS services (e.g., Lambda, SQS, SNS).
• Assist in designing and supporting APIs and backend services for platform integrations.
• Contribute to CI/CD pipelines, code reviews, and quality standards following best practices.
• Collaborate with the team to ensure platform reliability, security, and scalability.

Benefits

• Everyday lunches! (headquarters): Vegetarian, vegan, gluten and sugar free options. Gourmet meals every Friday with our on-site chef!
• Flexible working options to help you strike the right balance.
• All the equipment you need to harness your talent (Macbook and accessories).
• Snacks and beverages available everyday (headquarters).
• After office events, football, tennis and game nights (headquarters).
• Everyone is welcome to join our football league every Wednesday’s and Friday’s. Challenge your teammates to a pool game and win the office’s trophy! Tennis courts available for friendly matches. Not a sports person? Don’t worry, we also have chess championships, game and music nights for you to join!
• Learning opportunities: AWS Certifications (we are AWS Partners). Study plans, courses and other certifications. English Lessons. Learn from your teammates on our Tech Tuesdays!
• Mentoring and Development opportunities to shape your career path.
• Anniversary and birthday gifts.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed