Software Engineer (Mid-level)

Аналитика рынка

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Описание

What to expect: Design, develop, and maintain software applications: Write clean, scalable, and efficient code to create software solutions that meet user needs. Build scalable contact data pipelines: Develop robust data ingestion, deduplication, and segmentation logic for contact management at scale. Collaborate with cross-functional teams: Work closely with product managers, designers, and other engineers to deliver high-quality citizen-centric products. Participate in code reviews: Ensure code quality and share knowledge with team members to improve overall team performance. Debug and troubleshoot issues: Identify and resolve software defects and performance issues. Implement automated testing and continuous integration: Ensure the reliability and stability of the software through automated tests and CI/CD pipelines. No dedicated QE on the team, so you own quality end-to-end. Documentation: Create and document technical designs that are aligned with architectural guidelines. ) used by agencies. Stay updated with the latest industry trends: Continuously learn and apply new technologies and best practices to improve our products. Act as a technical lead when required: Drive technical direction, make architectural decisions, and ensure alignment with best practices and business goals. Experiences we look out for: At least 5 years of relevant working experience in software development, preferably in full stack web development. A degree in Computer Science or a related field is preferred. Possess a strong understanding of computer science fundamentals, including data structures, algorithms, programming skills, and software design principles and patterns. js, and PostgreSQL. Experience with CI/CD pipelines, automated testing, and DevOps practices. Familiarity with cloud services, with added advantage for experience in AWS services. Demonstrated strong ability to write clean, maintainable, and efficient code in a collaborative environment. Experience with data lakes and large-scale data processing is a plus. Familiarity with record matching and deduplication techniques is a plus. Background in CRM, contact management, or customer data platforms is a plus. Experience with Kotlin is a plus (to support legacy codebases).

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