Lead Software Engineer

December 5

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Bonterra

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🤝 B2B

🤝 Non-profit

🌍 Social Impact

Description

• Lead a High-Performing Team: Inspire, mentor, and guide a team of skilled engineers to deliver innovative solutions while promoting a culture of continuous learning and exploration of the latest technologies. • Collaborate with Engineering Managers and Architects: Work closely with engineering managers and architects to design, develop, and deliver large-scale data applications utilizing LLMs and other AI tools to enhance product delivery. • Be an AI and Cloud Champion: Research new AI technologies and identify ways to leverage them to accelerate our solution delivery while ensuring high-quality standards. • Work with QA Engineers: Collaborate with QA engineers to create and maintain automated test suites. • Engage with Cross-Functional Teams: Partner with product managers, data engineers, and UX designers to translate complex technical concepts into user-friendly solutions. • Drive Data-Driven Decision Making: Empower stakeholders with insights based on data to optimize operations and achieve strategic objectives. • Support Feature Development and Maintenance: Assist in building new features and platforms while also maintaining a suite of existing data and reporting applications. • Collaborate with DevOps and SaaS Teams: Work together with DevOps and SaaS teams to implement and maintain CI/CD pipelines. • Cultivate a Positive Company Culture: Foster a company culture that values cross-team collaboration and trust.

Requirements

• 7+ years of Software Development experience, including design patterns and data structures • 2+ years of experience serving in a leadership role on engineering teams • 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