Senior Software Engineer

December 5

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Bonterra

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🤝 B2B

🤝 Non-profit

🌍 Social Impact

Description

• Contribute to a High-Performing Team: Collaborate with a talented group of engineers to deliver innovative solutions while participating in a culture of continuous learning and exploration of the latest technologies. • Provide mentorship: Mentor and guide team members by sharing expertise, fostering collaboration, and providing constructive feedback to develop their skills. • Collaborate with the Lead Engineer, Engineering Managers, and Architects: Work closely with the lead software engineer and architects to assist in the design, development, and delivery of large-scale data applications that utilize LLMs and other AI tools, enhancing product delivery. • Be an AI and Cloud Advocate: Stay informed about emerging AI technologies and identify opportunities to leverage them for improving solution delivery while maintaining high-quality standards. • Work with QA Engineers: Partner with QA engineers to help create and maintain automated test suites, ensuring robust product quality. • Engage with Cross-Functional Teams: Collaborate with product managers, data engineers, and UX designers to help translate complex technical concepts into user-friendly solutions. • Support Feature Development and Maintenance: Assist in the development of new features and platforms while also contributing to the maintenance of existing data and reporting applications. • Collaborate with DevOps and SaaS Teams: Work alongside DevOps and SaaS teams to support the implementation and maintenance of CI/CD pipelines. • Foster a Positive Company Culture: Contribute to a company culture that values cross-team collaboration and trust.

Requirements

• 5+ years of Software Development experience including design patterns, data structures, and test-driven development • Strong AI Foundation: Proven experience in applying machine learning and AI techniques to real-world data problems. • Expertise with AWS cloud infrastructure and deployment models, including automation, orchestration, and scale. • Experience building large-scale, durable, reliable, and scalable data applications in a cloud environment. • Data Engineering Expertise: Deep understanding of data engineering principles, including data modeling, ETL processes, and data warehousing. • Deep understanding of relational data modeling & practical experience with RDBMS and ETL tools such as AWS Glue, DBT, and SSIS. • Track record of creating robust data pipelines using AWS services such as Amazon Redshift, Kinesis, DMS, and or alternate solutions using Snowflake • In-depth experience with Enterprise Business Intelligence tools such as QuickSight, Looker, Tableau, and PowerBI. • Agile Methodology: Experience working in Agile environments, such as Scrum or Kanban.

Benefits

• Generous Flexible Time Off (FTO) Policy • Up to 15 paid company holidays including some commemorating social justice events and self-care • Paid volunteer time • Resources for savings and investments • Paid parental leave • Paid sick leave • Health, vision, dental, and life insurance with additional access to health and wellness programs. • Opportunities to learn, develop, network, and connect