At Gorilla, we're building the data infrastructure that powers energy companies on their journey to net-zero. We're looking for an Interim Lead/Staff Data Platform Engineer to join us for a 3–6 month engagement during a critical phase of platform scaling and architectural evolution.

In this role, you’ll use your deep technical expertise to deliver immediate impact across our internal data platform. You’ll not only ship improvements to developer experience, observability, and reliability—but also guide short-term technical initiatives and help ensure knowledge continuity with the broader engineering organization.

As an Interim Lead/Staff Engineer in our Platform team, you’ll play a hands-on leadership role focused on strengthening our internal data platform and enabling product and engineering teams to move faster and safer. You will:

Lead short-term, high-priority engineering initiatives to scale and improve our internal data platform.

Design, implement, and evolve platform services that support secure, efficient handling of large-scale energy data using modern tooling (e.g., Terraform, Docker, AWS-native tools).

Collaborate with backend, data engineering, and DevOps stakeholders to identify bottlenecks and drive platform improvements that enable product innovation.

Support reliability and operational excellence by implementing observability, automation, and incident response best practices.

Contribute to CI/CD pipelines, workflow orchestration improvements, and infrastructure-as-code optimization.

Provide architectural guidance and hands-on mentoring to engineers across teams.

Document changes, create transition plans, and support a smooth handover of context and ownership to the permanent team at the end of your engagement.

Experience in interim or short-term technical leadership roles with proven ability to ramp up quickly and deliver impact.

Strong Python skills and a solid grasp of software engineering principles.

Deep experience designing and building data platforms or internal platform infrastructure at scale in production environments.

Expertise in AWS (especially Lambda, ECS/EC2, S3, and RDS).

Strong hands-on experience with Terraform and infrastructure-as-code practices.

Familiarity with tools like Airflow, DBT, and cloud data platforms such as Snowflake or Databricks.

Understanding of CI/CD, observability, and platform reliability practices in cloud-native environments.

Experience with container orchestration (Kubernetes) in production environments.

Good understanding of distributed systems, data governance, and security in regulated or high-compliance contexts.

A collaborative mindset, excellent communication skills, and the ability to align stakeholders around technical goals.

Willingness to lead by doing: you model best practices, coach others, and drive clarity in complex systems.