Software Engineer – Engineering Productivity

Role Overview

• Design and champion internal Quality Programmes: Drive engineering-wide process changes and ensure pods adopt new reliability standards without friction. You will operate with a product-owner mindset to define and evangelize the internal reliability roadmap.
• Define and enforce hard metrics: Measure and establish hard quality telemetry (e.g., DORA metrics, bug-to-deploy ratios, SLIs/SLOs) to create a quantifiable baseline for platform reliability.
• Architect Shift-Left Pipeline Gates: Weave automated Performance, Security, and Accessibility checks directly into the CI/CD pipeline at the PR level in tight partnership with Eng Core.
• Build Real-World Load Testing: Shift load and performance testing left for every customer onboarding, validating real-world assumptions.
• Engineer Synthetic Data & Production Canaries: Build the architecture for safe synthetic data injection to unblock heavy load-testing and live-production canaries, strictly isolating test data from authentic user telemetry.
• Leverage Generative AI Tooling: Actively utilize AI assistants (e.g., Gemini, Claude, Cursor, Codex) to accelerate the development of testing frameworks, automate infrastructure code, and design advanced testing architectures.
• Drive Tooling Consolidation: Lead the technical migration away from expensive, legacy testing infrastructure to a unified, AI-supported automation stack.
• Help define and maintain development practices: Enable fast iteration while ensuring quality, including writing tests and documenting key implementations.

Requirements

• You have 5+ years of experience in software with proficiency in one or more common languages (e.g., Python, Go), and are comfortable working across different technical systems and concerns.
• You have a strong product-oriented mindset, care about outcomes over output, and want to understand the "why" behind what you build to connect your work to business impact.
• You have experience building and refactoring complex (often distributed) systems and possess experience with declarative infrastructure as code (IaC) deployment patterns.
• You have experience with public cloud platforms such as GCP and/or AWS.
• You have AI experience in terms of testing tools and architecture. You know how to build systems with AI agents as your partners, and you possess clear strategies for strictly verifying and validating AI-generated code and infrastructure outputs before they merge.
• You have excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and are able to adapt quickly to new challenges and technologies.

Tech Stack

• AWS
• Cloud
• Google Cloud Platform
• Python
• Go

Benefits

• Financial Well-Being: Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program and regular compensation reviews to recognize and reward exceptional contributions.
• Physical Well-Being: We prioritize the health and well-being of our employees and their families by offering comprehensive group medical coverage that include coverage for hospitalization, outpatient care, optical services, and dental benefits.
• Mental Well-Being: We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, company holidays, access to mental health resources, and a generous annual leave policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location.
• Professional Development: We are committed to developing our talent professionally. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews.
• Additional Perks: Reimbursement for office setup expenses, flexibility to work from home, paid parental leave for all new parents, and much more!