> Markdown version of [/jobs/ext/3871651-software-engineer](https://www.wearedevelopers.com/jobs/ext/3871651-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - **Company:** DOORDASH, INC. - **Location:** New York, NY, United States (Remote available) - **Experience:** Experienced - **Salary:** $130,600.0 - $192,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cloud Computing, Pulumi, Backend, Agentic-AI, Containerization, Infrastructure Automation Frameworks, Terraform - **Published:** October 22, 2026 - **Apply:** https://startup.jobs/software-engineer-reliability-platform-doordash-usa-10540642 ## About the Role * Proven Experience: You have 2+ years of experience in an infrastructure, platform, or backend engineering role, showing you can deliver and maintain complex systems. * Backend Development Skills: You're fluent in Go (or a similar language) and can design and deliver mission-critical services that are scalable, resilient, performant, and efficient. * Cloud/Infra Expertise: You're comfortable with AWS primitives, security best practices, containerization, and Infrastructure as Code tools like Terraform or Pulumi. * SRE Experience: You understand concepts like SLOs, error budgets, and incident response though this is a platform development team, not an SRE/oncall team. * AI Alignment: You embrace the use of AI tools to be a more productive and capable engineer. This applies to coding, planning, supporting peers, and everything you do. * Curiosity About the Future: You're excited about automation and agentic, AI-assisted operations and want to help shape how engineers interact with production systems. ## Description As a Software Engineer on the Reliability Platform team, you'll help design, build, and operate software and infrastructure that deliver on the team's mission and vision described above in collaboration with expert peers across the Infrastructure and Product organizations. You will work on mission-critical back-end services and pipelines, complex orchestration workflows, self-service platform capabilities and agentic intelligence. We see and believe in the promise of agentic AI to radically reshape and supercharge how we serve our users and stakeholders while remaining pragmatic and committed to delivering positive business-value outcomes as the ultimate goal. Some examples of what the Reliability Platform team does: * Own and drive unification of incident management process and tooling globally across all DoorDash-owned brands * Create the framework that measures SLO compliance and quality across tens of thousands of endpoints and derive the programmatic insights that ensure engineering teams are informed and accountable for the quality of their products * Build the internal SRE Agent used in incidents which supports team/domain-specific knowledge bases and obviates legacy runbooks * Set up MCP for agentic use of Reliability Platform data + tools and enable other Core Infra teams to follow suit, * Deliver Innovative Capabilities: You don't want to 'turn the crank' somewhere, but you want to contribute to strategic thinking and help us drive meaningful continuous improvement. * Be Customer Obsessed: We want to learn from our internal customers to ensure we are solving the right challenges, and also share our perspective to influence in areas of expertise * Hold a High Quality Bar: We need to lead by example in how we develop, build, test and ship our products to show that we can work at high velocity without sacrificing quality outcomes. * Automate Everything: Your first instinct is to ask how toil can be obviated or, failing that, automated away from humans. * Shape the Future of Operations: Experiment with agentic AI workflows that can propose, validate, and safely execute production changes - moving DoorDash toward proactive, self-healing systems in step with industry first movers., * Platform Engineering Mindset: You think in terms of APIs, abstractions, and workflows - you enjoy building systems that other engineers depend on every day.