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Senior Software Engineer, Reliability

Los Angeles, California, United States

Who we are

Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.

Who you are

We are building a hyperscaler company and need someone to own reliability across the entire Metropolis platform. As a Staff or Senior Software Engineer focused on Reliability, you'll establish and drive the comprehensive reliability practices that ensure system availability, resilience, and observability for our mission-critical mobility infrastructure serving millions of transactions.

This is your opportunity to build reliability from first principles – architecting failover systems, implementing chaos engineering practices, and improving the observability foundation that will enable Metropolis to scale to new markets while maintaining 99.9%+ uptime. You'll be the technical owner of our reliability posture, working on everything from multi-region failover architectures to incident response workflows to SLO-based alerting strategies.

Our platform handles real-time payment processing, customer authentication, and parking facility operations – systems that cannot go down. You'll tackle challenges like external service failover, dependency mirroring to prevent upstream outages, database replication and automatic promotion, and building the monitoring and alerting infrastructure that ensures we detect and respond to issues in minutes, not hours.

If you're energized by the challenge of ensuring system reliability at scale, building robust failover mechanisms, implementing comprehensive observability, and establishing the practices that prevent incidents before they occur, this role is for you. You'll work alongside highly technical teams across the organization, influencing architecture decisions and establishing reliability standards that affect every service we build.



What you'll do

  • Reliability Ownership: Own the overall reliability posture for the Metropolis platform, establishing practices, metrics, and systems that ensure 99.9%+ uptime across all services
  • External Service Failover: Design and implement automatic failover mechanisms for critical external dependencies (Twilio for SMS/voice, Stripe for payments) with circuit breakers, retry policies, and degraded mode operations
  • Multi-Region/Cloud Failover: Architect and build active-passive or active-active regional deployment strategies with database replication, automated failover, and DNS-based traffic routing including disaster recovery planning and testing
  • Observability & Monitoring: Establish comprehensive monitoring using Datadog for APM, logs, and metrics correlation; implement synthetic monitoring, SLO-based alerting, on-call rotation, and escalation policies; build service health dashboards that show customer impact
  • Incident Response: Own the incident management process including workflows, tooling, post-mortem culture, runbook automation, and MTTR reduction initiatives – driving down mean time to recovery from detection to resolution
  • Service Resilience Patterns: Drive adoption of resilience patterns across all services including health checks, graceful degradation, feature flags, rate limiting, backpressure mechanisms, and chaos engineering practices
  • Dependency Mirroring: Build and maintain local mirrors for critical dependencies (Maven/NPM/Docker registries) with artifact caching, dependency pinning, and vulnerability scanning to prevent build failures from upstream outages

What we're looking for

  • 8+ years of engineering experience including software engineering, reliability engineering, SRE practices, or production operations at scale
  • Expert-level reliability engineering skills including hands-on experience with multi-region architectures, failover automation, circuit breakers, chaos engineering, and disaster recovery
  • Production observability expertise with deep experience implementing monitoring, alerting, tracing, and logging systems at scale – specifically Datadog or similar APM platforms in high-load environments
  • Strong systems thinking with proven ability to design resilient distributed systems that gracefully handle failures, network partitions, and external dependency outages
  • Expert-level Java proficiency with deep understanding of JVM performance, concurrency, and operational characteristics. Scala experience is a big plus
  • Database and data systems knowledge including replication strategies, backup/restore procedures, connection pooling, query optimization, and experience with both relational and NoSQL databases
  • Cloud platform expertise with production experience operating and ensuring reliability of systems on AWS including multi-region deployments, load balancing, and DNS-based failover
  • Experience with AI-powered development tools such as Claude Code, GitHub Copilot, or similar agentic coding tools for enhanced productivity – context engineering in particular
  • Excellent technical communication with ability to influence technical decisions across teams, document complex systems, conduct post-mortems, and establish reliability standards organization-wide
  • Local to New York City, Seattle, or Los Angeles area

While not required, these are a plus:

  • SRE or Reliability Engineering experience at companies known for operational excellence (Google, Amazon, Netflix, etc.) or high-growth startups where you built reliability practices from the ground up
  • Incident response leadership including experience building incident management processes, conducting blameless post-mortems, and driving MTTR reduction initiatives in production environments
  • Chaos engineering experience with tools like Chaos Monkey, Gremlin, or similar, including designing and executing game days and failure injection testing.
  • Performance optimization experience with profiling, benchmarking, capacity planning, and system tuning at hyperscale including experience optimizing for high-throughput, low-latency systems
  • Open source contributions or technical blog writing that demonstrates depth of expertise in reliability engineering, distributed systems, or production operations

Our Stack

  • Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)
  • Datastores: MySQL, PostgreSQL, Snowflake
  • Cloud: AWS
  • Version control: Git & GitHub
  • AI Tooling: Copilot on GitHub
  • Observability: Datadog

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $180,000.00 USD to $200,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection

Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.

As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.

Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

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