Senior Software Engineering Manager

Terabase Energy•Berkeley, CA

About The Position

We’re advancing the future of renewable energy through intelligent software that optimizes how solar power plants are designed, predicted, and delivered. As Director, Software Engineering, you’ll lead a distributed team driving the evolution of our flagship energy intelligence platforms — PlantPredict and the Pro Apps suite — which empower global solar developers to design, simulate, and deliver optimized renewable energy projects with precision and speed. You’ll drive technical leadership, architectural modernization, and product delivery across these critical applications, ensuring they continue to meet the reliability, scalability, and innovation standards required by our global customers. This role combines hands-on technical guidance, team leadership, and strategic direction in partnership with product, data, and domain experts.

Requirements

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or equivalent experience
10+ years of experience building and maintaining web applications or SaaS platforms.
3+ years of experience leading software engineering teams or managing technical leads.
Proven experience with cloud-based architectures, microservices, and modern frontend frameworks.
Experience with enterprise or industrial SaaS products — ideally in energy, simulation, or data-driven applications.
Strong technical foundation in modern web development (React, TypeScript, C#/.NET, Python).
Deep understanding of Azure and/or AWS cloud infrastructure (Functions, API Gateway, Cosmos DB, S3, DynamoDB).
Experience with API-first design, scalable data models, and multi-tenant architectures.
Familiarity with performance modeling, analytics, or simulation software.
Proficiency in CI/CD, containerization (Docker), and orchestration (Kubernetes).
Experience integrating data visualization, AI insights, or modeling tools into production systems.
Proven ability to drive product-focused engineering teams toward measurable outcomes.
Strong communication and collaboration skills across technical and non-technical stakeholders.
Demonstrated success balancing innovation, reliability, and delivery speed.

Responsibilities

Lead and mentor a multidisciplinary team of 5-8 engineers, fostering continuous growth, innovation, and adaptability as the organization embraces AI-driven tools and workflows.
Oversee recruitment, professional growth, and performance management for team members.
Enable collaboration across distributed teams and ensure alignment with product priorities.
Champion agile and DevOps best practices across development and release cycles.
Guide and mentor engineers in adopting emerging AI technologies and tools, fostering confidence, and ensuring the team remains at the forefront of innovation.
Define and execute the technical roadmap for the PlantPredict and Pro App product suite.
Guide modernization of legacy components toward scalable, cloud-native architectures.
Own the end-to-end architecture for PlantPredict and Pro Apps, driving modernization toward scalable, cloud-native systems and ensuring seamless interoperability across Azure and AWS environments.
Oversee adoption of best practices in CI/CD, code quality, observability, and test automation.
Partner with data and AI teams to integrate predictive modeling and automation capabilities into applications.
Maintain architectural consistency across applications while enabling flexibility for innovation.
Manage end-to-end product delivery, ensuring reliable, secure, and high-performing releases through disciplined CI/CD, automated testing, and continuous feedback loops.
Ensure PlantPredict and Pro Apps maintain exceptional uptime, performance, and security.
Coordinate release schedules, quality gates, and production readiness reviews.
Implement continuous improvement based on usage data, customer feedback, and business priorities.
Own technical debt management and long-term maintainability planning.
Partner with Product Management to translate customer needs and roadmap goals into executable plans.
Collaborate with domain engineering and applications engineering teams to ensure released products and features satisfy intended use cases.
Align with fellow engineering leads to ensure consistent cloud practices that optimize cost, performance, and reliability.
Represent the PlantPredict and Pro App engineering organization in strategic planning and executive reviews.