Software Engineer

Job Description Keystone AI is seeking a Software Engineer to play a key role in the development, customization, integration, and deployment of enterprise software solutions focused on risk management, fraud prevention, financial technology, and data-driven platforms. This role requires a strong technical background in software development, problem-solving, and cross-functional collaboration. The ideal candidate will work closely with Engineering, Data Science, Product, and Customer Support teams to deliver scalable, high-quality solutions for enterprise customers. The Software Engineer performs a wide range of duties including some or all the following: Develop, configure, customize, and implement software features according to technical specifications and enterprise software standards. Design, build, test, and maintain scalable software solutions and integrations. Collaborate with cross-functional teams to support implementation activities and ensure successful software deployment. Identify, troubleshoot, and resolve technical dependencies, defects, and performance issues. Work with Engineering teams to develop third-party integrations and optimize deployment processes. Partner with technical and data teams to implement analytics, automation, and machine learning solutions when applicable. Participate in technical discussions, architecture reviews, code reviews, and problem-solving sessions. Contribute to deployment activities, monitoring, and continuous improvement initiatives. Support software deployments across multiple environments and occasionally collaborate across time zones when required. Qualifications Advanced English proficiency (B2 or Higher) 3–5+ years of experience in Software Engineering, Software Development, Solution Engineering, or related technical roles. Strong programming skills with experience in languages such as Java, Python, SQL, PL/SQL, or similar technologies. Experience working with relational and/or NoSQL databases (PostgreSQL, MySQL, Oracle, MongoDB, etc.). Hands-on experience with Unix/Linux environments, scripting, and troubleshooting. Familiarity with cloud technologies (AWS, Azure, or GCP), containerization, DevOps practices, CI/CD pipelines, and deployment tools. Solid understanding of APIs, web services, networking concepts, ETL processes, and distributed systems. Strong analytical and troubleshooting skills with the ability to investigate complex technical issues. Excellent communication skills with the ability to collaborate effectively across technical and non-technical teams. Ability to work independently, manage multiple priorities, and thrive in fast-paced environments. Experience working with analytics, machine learning, or data-driven platforms is a plus. Previous exposure to financial services, banking technologies, payments ecosystems, fraud prevention, risk management, compliance, or enterprise software environments is preferred. Strong quantitative and problem-solving skills with a customer-focused mindset. Company Description We are One Keystone AI — a global team where everyone is working together to create great breakthrough solutions. Our workforce has thrived in an environment of diversity of thought, experience and background. We celebrate our diversity and embrace it whole-heartedly. Keystone AI is an equal opportunity employer. We promote a positive work environment by conducting ourselves professionally and helping each other achieve our goal of One Keystone AI Team, Playing to Win. Keystone AI was founded 39 years ago (1986). Since then, we have become a leading global provider of business process and technology management services offering an integrated portfolio of analytics-driven back office and customer-facing solutions that support the entire customer life cycle. Additional Information Hybrid work model: 3 days working from home and 2 days onsite at our Torre Krystal offices in Bogotá.