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  3. Director, Software Engineering Hybrid - Oakland, CA
Energy Solutions logo

Director, Software Engineering Hybrid - Oakland, CA

Energy Solutions
Oakland, California
Full Time
Posted January 9, 2026
$145k - $170k
Energy Efficiency
Apply Now

Application opens on company website

Job Description

The role involves leading and managing a software engineering department focused on developing reusable software solutions for energy efficiency and related programs, while aligning technical strategies with business goals to deliver scalable, secure, and high-quality platforms that support energy markets and sustainability efforts.

Key Responsibilities

  • Lead and manage multiple software engineering teams, fostering a culture of accountability and psychological safety.
  • Allocate engineering resources effectively between client projects and internal platform development.
  • Establish and enforce software architecture standards, ensuring scalability, modularity, and performance.
  • Promote and implement modern engineering practices such as CI/CD, automated testing, and small frequent commits.
  • Collaborate with data teams and downstream application owners to ensure high-quality, well-structured data and seamless integration.
  • Guide the migration of legacy systems and adoption of new libraries or frameworks for modernization.
  • Oversee the full software development lifecycle, ensuring quality, testing, documentation, and security compliance.
  • Manage stakeholder expectations regarding project scope, timelines, and technical feasibility.
  • Monitor delivery timelines, mitigate risks, and ensure projects meet contractual obligations.

Requirements

  • Minimum of 10 years in software engineering with at least 4 years in a Director or Senior Management role leading teams of 25 or more people.
  • Deep roots in the Python ecosystem with experience building complex applications using Django.
  • Strong understanding of relational databases and cloud infrastructure platforms including AWS, Azure, and GCP.
  • Proven ability to influence partners while mentoring and maturing a software engineering team, including supervisors.
  • Exceptional communication skills, with the ability to translate technical concepts to non-technical stakeholders and clients.
  • Experience managing remote or distributed engineering teams.
  • Experience working in a Professional Services Consultancy environment is highly preferred.
  • Experience shipping SaaS or PaaS products.
  • Ability to oversee the full Software Development Life Cycle (SDLC), ensuring standards for code quality, testing, and documentation.
  • Ability to establish and enforce security controls, compliance standards, and data protection protocols across all client projects.
  • Experience in resource allocation, balancing engineering resources between client consulting projects and internal platform development.
  • Ability to lead technical direction, including serving as the final authority on software architecture and design patterns, ensuring scalability, modularity, and performance.
  • Drive the adoption of modern engineering practices such as small frequent commits, CI/CD, and automated testing methodologies.
  • Partner with data engineering, business data analytics teams, and downstream application owners to ensure high-quality, well-structured data and support seamless integration.
  • Guide the migration of legacy systems and the adoption of new libraries or frameworks where appropriate.
  • Oversee the full SDLC, including code quality, testing, documentation, and security controls.
  • Establish and track engineering metrics to drive process improvements, increase velocity, and reduce technical debt.
  • Monitor delivery timelines, mitigate risks, and ensure client expectations and contractual obligations are met.
  • Collaborate with product owners, project managers, business systems analysts, and business partners to ensure client deliverables are shipped on time and within budget.
  • Manage stakeholder expectations regarding technical feasibility, timelines, and scope.
  • Possess an advanced degree in Computer Science or Engineering (preferred).
  • Hands-on experience or theoretical knowledge of Generative AI and LLM integration in enterprise software (preferred).

Benefits & Perks

Salary range of 145,000 to 170,000 USD, with target compensation of 145,000 to 161,000 USD based on experience and qualifications
Hybrid work schedule, working onsite at least 1 day per week with flexibility for the remaining days
Generous retirement package
Medical, dental, and vision insurance
Pre-tax contribution plans
Employee Stock Ownership Plan (ESOP)

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