SENIOR SOFTWARE ENGINEER - HYBRID, CABA, ARGENTINA.

As a Software Engineer at the Index Technology team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

REQUIRED QUALIFICATIONS, CAPABILITIES, AND SKILLS

• 5 to 10 years of experience in software development or a related field
• Hands-on practical experience in system design, application development, testing, and operational stability
• Proficient in coding in Java and Python
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages such as Sybase and Postgres
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated knowledge of software applications and technical processes within a technical discipline.
• English: B2+, C1+ recommended.

PREFERRED QUALIFICATIONS, CAPABILITIES, AND SKILLS

• Exposure to cloud technologies, including AWS
• Experience with PySpark and FastAPI
• AWS certifications are desired

WORK REQUIREMENTS

9AM to 6PM, Mon-Fri. (40hs per week)
Hybrid. On-site location: Belgrano 955, CABA, Argentina

• Executes software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code developmentGathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture