Senior Site Reliability Engineer

The Role
As a Senior Site Reliability Engineer on the Platform team, you will ensure that software systems are reliable, scalable, performant, and operationally efficient. You blend software engineering skills with infrastructure and operations expertise to keep critical systems running smoothly while enabling rapid product development.

ResponsibilitiesReliability Engineering & Infrastructure Ownership
Design, build, and operate highly available, scalable, and fault-tolerant infrastructure and platform services
Own reliability, availability, latency, and operational excellence for critical production systems and services
Define and maintain service level objectives (SLOs), service level indicators (SLIs), and error budgets across platform systems
Lead incident response efforts for complex production outages; drive root-cause analysis and long-term remediation actions
Build resilient systems that gracefully handle failures, traffic spikes, dependency degradation, and regional outages
Continuously improve system reliability through automation, observability, performance tuning, and capacity planning
Automation & Platform Engineering
Develop infrastructure automation and self-service tooling to reduce operational toil and improve engineering velocity
Build and maintain CI/CD pipelines, deployment automation, and release engineering workflows
Implement infrastructure as code (IaC) practices using tools such as Terraform, CloudFormation, and container orchestration
Improve developer experience by building reliable internal platforms, operational tooling, and standardized deployment patterns
Drive adoption of GitOps, immutable infrastructure, and automated remediation patterns

Observability & Operational Excellence
Design and maintain comprehensive monitoring, logging, tracing, and alerting systems for distributed services
Establish actionable alerting standards that reduce noise while improving incident detection and response times
Analyze production trends, system bottlenecks, and failure patterns to proactively prevent incidents
Lead operational readiness reviews, disaster recovery planning, and game-day exercises
Improve mean time to detect (MTTD) and mean time to recovery (MTTR) through tooling, automation, and process refinement
Systems Architecture & Scalability
Participate actively in architecture and infrastructure design reviews
Propose scalable and reliable platform designs that account for multi-region deployment, redundancy, failover, and security considerations
Evaluate trade-offs between reliability, scalability, operational complexity, and engineering velocity
Identify systemic risks and operational gaps before they become production incidents
Partner with engineering teams to ensure services are designed with operability, observability, and resilience in mind from day one
Security & Compliance
Approach infrastructure and operational practices with a strong security mindset
Implement and maintain secure cloud networking, secrets management, IAM policies, and infrastructure hardening standards
Partner with Security and Compliance teams to ensure systems meet organizational and regulatory requirements
Drive operational best practices around vulnerability management, patching, and production access controls
End-to-End Ownership & Collaboration
Scope and estimate infrastructure and reliability initiatives accurately
Coordinate production rollouts, maintenance events, and reliability improvements across teams
Communicate operational risks, dependencies, and incident impacts clearly to technical and non-technical stakeholders
Collaborate closely with Software Engineering, Security, Product, and Operations teams to improve platform reliability and scalability
Serve as a trusted escalation point during critical production incidents
Mentorship & Technical Leadership
Mentor junior and mid-level engineers on reliability engineering principles, operational excellence, and infrastructure best practices
Raise the operational maturity of the engineering organization through documentation, reviews, and technical guidance
Drive improvements in team standards around observability, incident management, automation, and infrastructure design
Influence technical decisions through credibility, operational expertise, and strong engineering judgment

Qualifications
You are motivated by accountability — you own outcomes, not just tasks
You are results-oriented and measure success by shipped, working software
You are motivated by correctness in code that touches money — the consequences of a bug land on real customer balances, and you take that seriously
You love helping people on your team grow and improve
Writing tests is an integral part of your development process, not an afterthought
You know how to design and build software incrementally — you don't need a complete spec to make progress
Collaborating with the people around you to achieve a goal motivates you
You are collaborative, open-minded, and actively developing your craft
You are curious and pragmatic about AI-driven solutions — you apply them where they add real value and stay skeptical where they don't
Familiarity with AI-assisted development tools — you understand how they work, where they help, and where they fail. Prior hands-on use is a plus; intellectual curiosity and the instinct to evaluate AI output critically are what matter

Technical Skills
Strong foundation in computer science fundamentals: data structures, algorithms, and system design
Familiarity with building production-grade applications and services using Ruby and Ruby on Rails
Deep expertise with Linux systems administration and production troubleshooting
Strong experience operating cloud infrastructure at scale, particularly within AWS environments
Experience with Kubernetes, container orchestration, and cloud-native infrastructure patterns
Proficiency with infrastructure as code tools such as Terraform or CloudFormation
Expertise designing and operating CI/CD pipelines and deployment automation systems
Deep understanding of observability tooling including Datadog, OpenTelemetry, or similar platforms
Strong knowledge of distributed systems reliability patterns including redundancy, failover, autoscaling, rate limiting, and graceful degradation
Experience building automation and operational tooling using languages such as Python, Go, Bash, or Ruby
Strong understanding of networking fundamentals including DNS, load balancing, TLS, VPNs, firewalls, and service discovery
Hands-on experience with incident response, root-cause analysis, and production operations in high-availability environments
Familiarity with SRE methodologies including SLOs, SLIs, error budgets, capacity planning, and operational maturity modeling
Experience implementing secure infrastructure and cloud security best practices including IAM, secrets management, and vulnerability remediation
Proven ability to design scalable, resilient, and maintainable platform systems and APIs
Experience supporting distributed microservices architectures and event-driven systems
Strong understanding of operational excellence principles including automation-first engineering and toil reduction
Experience using AI-assisted engineering tools (e.g., Claude, GitHub Copilot) as force multipliers while applying sound operational and engineering judgment
Excellent debugging and systems thinking skills across infrastructure, networking, application, and platform layers
What Great Looks Like
A Senior Software Engineer on the Platform team who is thriving at this level demonstrates:

Reliable delivery of complex work — consistently ships multi-part solutions on time with low defect rates
Low defects in owned areas — proactively monitors and improves the quality of the systems they own; that means incident-free quarters in code paths that move funds and clean reconciliation against vendor reports
Measurable mentorship impact — engineers around you write better code because of your reviews and guidance