Sr Software Engineer - Platform

As a Sr Software Engineer (Backend) on the Platform team, you will play a critical role building and operating cloud-native backend and platform infrastructure that is scalable, secure, and reliable by designing, implementing, and evolving our backend systems, CI/CD automation, and cloud infrastructure. You will operate with broad technical ownership across multiple domains, driving initiatives end-to-end from architecture design through production deployment.

You will lead backend projects on a team of 5 (without direct reports), influence architectural direction, and partner closely with cross-functional peers to deliver scalable, secure, and resilient systems. You will drive meaningful technical outcomes across CI/CD, automation, and service operations, partnering closely with product and engineering teams to ensure teams can ship confidently.You will support the backend platform to design, implement, and optimize AWS-based infrastructure and deployment pipelines. This role requires strong technical ownership, clear communication, and the ability to navigate ambiguity while raising the bar for engineering practices.

• Demonstrated ability to deliver value in highly ambiguous problem spaces
• Exceptional architecture experience solving complex and edge-case problems across product, platform, cloud, and/or security domains
• Proven experience driving business requirements through deployment with measurable impact
• Deep expertise in backend system design and distributed systems
• Own and evolve our CI/CD automation and cloud infrastructure strategy to improve reliability, scalability, and security
• Best-in-class CI/CD practices and experience with infrastructure as code tools such as Terraform and CloudFormation
• Experience operating observability and logging systems at scale (for example, Datadog and Sentry)
• Experience in an Infrastructure, Platform Engineering, or DevOps-focused role in an AWS cloud environment
• Expertise writing production code in Golang or Python
• Strong fundamentals in software design, development, and architecture

• Ownership and initiative in ambiguous problem spaces
• Strong product and stakeholder judgment, including first-principles decision making
• Mentorship and technical leadership through design reviews, code reviews, and coaching

• →Lead architecture and technical decision making, including edge cases across product, public cloud, and the security domain
• →Drive initiatives end-to-end — from ambiguous business requirements through implementation, deployment, and measurable outcomes
• →Design, build, and maintain scalable and secure cloud-based services with an emphasis on efficiency and self-service
• →Apply first-principles thinking to guide architectural decisions and manage stakeholder trade-offs
• →Mentor and coach engineers through design reviews, code reviews, technical guidance, and course correction, and how to use observability systems to operate services with confidence
• →Establish and elevate engineering best practices across backend development, DevOps, and infrastructure
• →Deliver business impact by solving ambiguous problems across the company and, when needed, with customers
• →Partner closely with development teams and fellow platform engineers to address critical issues
• →Build automation tooling to streamline provisioning, configuration, and deployment & Improve service visibility via metrics, tracing, logs, and analytics

Panther is a cybersecurity company with the mission of detecting any breach, anywhere. Panther solves modern security problems with detection-as-code, a cloud-native architecture, and a robust security data lake. Panther’s platform enables security teams to focus on security, detect attacks, and protect their organizations without prohibitive overhead.

Panther is backed by Coatue Management, Lightspeed Venture Partners, S28 Capital, Snowflake Ventures, ICONIQ Growth, and Innovation Endeavors, and has raised $140M. Customers include Figma, Gusto, Coinbase, and Dropbox.

Panther is remote-first, with a culture of flexibility, written documentation, open communication, and collaboration. Our values guide our every move: Create Customer Love, Be an Owner, and Take Care of the Team.

We recognize that AI tools can enhance productivity and support high-quality work. Candidates are welcome to use AI tools for assistance when preparing application materials and completing take-home assignments. If AI use is not permitted for a specific assessment, we will indicate that clearly in the instructions. During live interviews, we ask that candidates not use AI tools to generate or supply real-time answers. This includes reading from AI-generated responses or prompts during conversational, behavioral, or technical discussions. These conversations are designed to understand your individual thinking process, problem-solving approach, and ability to communicate your ideas.

We also use AI tools to support our recruiting processes; hiring decisions are made by our team, not AI.

Reasonable Accommodations
We are committed to providing equal opportunity to all candidates. If you require the use of an AI-based tool or any other assistive technology as a reasonable accommodation for a disability or medical condition, please notify us prior to your interview. We will engage in an interactive process to determine what arrangements are appropriate for your situation. Accommodation requests are handled individually and in accordance with applicable law.