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Requirements:
* Bachelor's degree in Computer Science or a related field
* 3+ years of experience in DevOps engineering, with a proven track record in building and maintaining production systems.
* Strong experience with AWS (3+ years), including services such as EC2, S3, RDS, ECS/ECR, EKS, Lambda, and VPC configurations.
* Hands-on experience using Generative AI tools (e.g., GitHub Copilot, ChatGPT, Claude, Cursor, or similar) to enhance scripting, automation, troubleshooting, and infrastructure design workflows.
* Experience with GCP - preferred
* Proficiency with Infrastructure-as-Code (IaC) tools like Terraform (a must).
* 2+ years of Python coding experience, with the ability to write scripts for automation, monitoring, and infrastructure management.
* Strong expertise in networking concepts, including proxies, DNS, load balancing, and VPNs.
* Experience with containerization and orchestration technologies like Docker and Kubernetes.
* Proficiency in building and maintaining CI/CD pipelines using tools such as Jenkins, Bitbucket Pipelines, CircleCI or equivalent.
* Strong understanding of Linux systems administration, including troubleshooting, optimization, and security.
* Excellent problem-solving and analytical skills with a proactive mindset.
* Strong communication skills and ability to work both independently and collaboratively.
* Strong communication and collaboration skills.
* Fluent level of English (written and verbal skills).
* Smart, interdisciplinary, fast learner, and a team player.
* Can-do attitude, and proactive approach to problem-solving.

Requirements:
* 4 years of experience in data engineering or related fields.
* Proficiency in Python for data processing and automation (mandatory).
* Deep understanding of Apache Spark and Databricks for big data processing (mandatory).
* Experience with Git (mandatory).
* Expertise in Apache Airflow for workflow orchestration.
* Familiarity with cloud-based environments, particularly Azure.
* Advanced proficiency in SQL and query optimization.
* Familiarity with data modeling, ETL/ELT principles, and performance tuning.
* Knowledge of CI/CD and containerization (Docker).
* An enthusiastic, fast-learning, team-oriented, and motivated individual who loves working with data.

Requirements:
Knowledge and Experience
Recently completed a bachelors degree in Computer Science, Information Systems Engineering, Software Engineering, or a related field from a leading university, with an average grade of 90 or higher.
Knowledge of or experience with Node.js and TypeScript.
Knowledge of web development technologies (e.g., HTML, CSS, React).
Familiarity with databases, including SQL and NoSQL.
Familiarity with version control systems (e.g., Git).
Understanding of software testing and quality assurance practices.
Prior experience with software development projects or internships.

Skills
Ability to perform in a global company, in a multi-cultural environment
Strong organizational and time management skills
Ability to prioritize tasks effectively
Strong work ethic, proactive, self-motivated, and results-driven
Excellent communication and collaboration skills
Proficient in spoken and written English

Requirements:
Knowledge and Experience
4+ years of backend development experience with strong proficiency in Python.
Proven hands on experience building and shipping GenAI powered features to production.
Strong experience with Python GenAI frameworks such as LangChain, LangGraph, Strands, or similar orchestration frameworks.
Experience integrating LLM APIs into live distributed systems.
Experience implementing structured outputs, validation layers, and guardrails.
Familiarity with evaluation frameworks and LLM quality measurement techniques.
Experience building RESTful APIs.
Strong understanding of clean architecture, scalability, and production best practices.

Advantages
Experience designing and implementing RAG pipelines.
Experience with MCP servers, A2A architectures, or multi agent systems.
Experience working with embeddings and vector databases.
Proficiency in TypeScript (Node.js or ReactJS).
Experience with AI observability, monitoring, and evaluation tooling.

Requirements:
Knowledge and Experience
0-2 years of experience in one of the following areas: Product, Business Analysis, Consulting, QA, Customer Success, or a similar analytical role within a technology or B2B environment.
Recently completed a bachelors degree in Industrial Engineering and Management / Computer Science / Software Engineering or a related analytical field from a leading university, with strong academic performance (or equivalent demonstrated excellence).
Demonstrated ability to translate business needs into structured requirements, through academic projects, internships, military roles, or professional experience.
Full professional proficiency in English is mandatory. The role involves daily communication with global customers and cross-functional teams, including leading meetings, writing structured documentation, and presenting requirements clearly
Analytical thinking and structured problem-solving ability.
Ability to work effectively with engineers and designers in a structured development environment.

Advantages
Native or near-native English proficiency (ability to communicate and present at the same level as a first-language speaker).
Spanish language proficiency.
Exposure to B2B, fintech, enterprise software environments, or background in finance or trade finance.

Skills
Strong communication skills and ability to structure and explain problems clearly.
High level of curiosity and willingness to ask why.
Ability to manage multiple small tasks while maintaining attention to detail.
Strong organizational and prioritization skills.
Collaborative mindset and ability to work in cross-functional teams.
Proactive, self-motivated, and eager to learn.