• Develop and maintain observability solutions using platforms like Datadog, Prometheus and Grafana • Take a leading role in incident management, including coordinating response efforts, troubleshooting issues, and identifying follow-up actions • Partner with product engineering teams to architect reliable systems, recover from incidents, and learn from mistakes • Work with teams to implement and maintain SLOs, monitoring, and alerting strategies that ensure reliability at scale • Design and implement automation and support tooling to improve system resilience, maintain operational safety and reduce operational overhead • Lead the development and maintenance of runbooks, alert definitions, and incident response procedures • Participate in on-call rotations to provide 24/7 support for critical production systems

• Own the reliability, availability, and failover behavior of the centralized planning system in production, with a focus on high-availability architectures across servers and clusters. • Design and implement leader election, health checks, heartbeat protocols, and controlled failover/hand-off when instances fail or become partitioned. • Define and build state continuity mechanisms so backup instances can take over from recent state (tickets/trips/journeys, vehicle/site state, restrictions) instead of cold-starting. • Engineer restart-safe, idempotent workflows for trip/ticket handling and routing decisions so replays, retries, and partial failures do not cause double assignment or missing states. • Extend and refine recovery behaviors, ensuring the system gets to a safe state first and then resumes normal operations in a controlled, observable way. • Expand and maintain observability: logs, metrics, traces, dashboards, and alerts for key service indicators (latency, backlog, heartbeats, failover time, instance divergence). • Harden configuration, pipelines, and deployments for the system and related services, including validation of config changes and safe rollout strategies (rolling, blue-green, canary). • Design and maintain automated test and robustness suites, including scenario-based, stress, fault-injection/chaos, and long-running burn-in tests, and use results to drive hardening work. • Apply safety-critical, requirements-driven reasoning (including FMEA-style analyses) to functional changes, documenting assumptions and guarantees. • Collaborate with algorithm developers, Autonomy, Test Ops, and Product to align robustness and failover behavior with algorithmic guarantees, operational procedures, and milestones, and take long-term ownership of production health.

• Lead design and implementation of CI/CD automation frameworks across multiple environments. • Architect infrastructure and deployment strategies leveraging cloud-native solutions and IaC. • Champion reliability, scalability, and observability across the production stack. • Provide mentorship to junior DevSecOps engineers and advocate for best practices in automation and monitoring. • Integrate tools such as GitLab, JFrog, Docker, Postman, and LaunchDarkly into delivery workflows. • Collaborate with cross-functional teams to ensure security, compliance, and performance objectives are met. • Partner with engineering leadership to define the DevSecOps roadmap and technology standards. • Participate in on-call rotations and incident response planning.

• Design, build, and optimize the infrastructure and automation that power our platform • Work closely with Engineering, Security, and Product teams to ensure secure and scalable environments • Establish DevOps best practices and shape our cloud-native architecture • Design, deploy, and maintain cloud infrastructure with a focus on security and high availability • Build and manage Infrastructure as Code (IaC) using Terraform, CloudFormation, or similar tools • Develop and maintain CI/CD pipelines • Collaborate with security teams to meet compliance requirements