Software Dev Senior Engineer

CSE SRE – Systems Focus

Job Description

As a Software Dev Senior Engineer, you will own the reliability, scalability, and operational excellence of our Cloud-based services. You will define and enforce reliability standards, drive the adoption of SRE practices across engineering teams, and build the systems and tooling that keep our production infrastructure healthy. We follow a DevOps model: Development and Operations teams are integrated, and the SRE function acts as the reliability layer — setting Service Level Objectives, managing error alerts, and continuously reducing toil through engineering.

Key Responsibilities:

• Lead on call response and triage – help design and lead the 24x7 response team for triage and rally engineering to address service degradation, facilitating process and communications along the way
• Define, publish, and continuously refine Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Service Level Agreements (SLAs) for all critical services, partnering with product and engineering leadership.
• Own the error management practices, including monitoring and alerting, and surfacing notable errors to the development teamLead the design and implementation of comprehensive observability platforms — metrics, structured logging, and distributed tracing — to ensure full visibility into production systems.
• Drive toil reduction initiatives by identifying and automating repetitive, manual operational work, targeting measurable reduction in operational burden across teams.
• Design and execute chaos engineering programs to proactively uncover reliability weaknesses in our infrastructure and services before they impact customers.
• Lead blameless postmortem culture: facilitate incident retrospectives, extract systemic learnings, and track corrective action items to completion.
• Build and improve on-call incident response processes, runbooks, and escalation paths; manage and optimize on-call rotation health to prevent burnout.
• Collaborate with platform and application developers to bring new features and services into production using production-readiness reviews and launch checklists.
• Champion reliability engineering best practices across the organization, embedding SRE principles into the software development lifecycle.
• Mentor team members on SRE philosophy, technical decision-making, code reviews, and cloud engineering best practices.
• Participate in roadmap planning, identify areas of improvement, and perform technology evaluation and selection.

Required:

• 8+ years of experience in scalable, distributed systems architecture.
• 3+ years of hands-on Site Reliability Engineering experience, including ownership of SLOs and error budget management.
• 4+ years of experience with Cloud Platforms, including GCP.
• 4+ years of experience in infrastructure as code (Terraform, AWS CDK).
• 5+ years of experience in scripting using Python, Shell, or a similar language.
• • 4+ years of experience with orchestration technologies, including Kubernetes.
• In-depth understanding of networking, including routing, naming, security, network performance, and network failure modes.
• Demonstrated experience designing and operating observability stacks (e.g., Prometheus, Grafana, Datadog, OpenTelemetry, Jaeger, or equivalent).
• Experience with incident management platforms and on-call tooling (e.g., PagerDuty, OpsGenie).
• Experience defining and implementing automated service deployments, including provisions for networking, security, reliability, management, reporting, and configuration management.
• • Experience managing databases — PostgreSQL, Redis, DynamoDB, MongoDB.
• CS Degree or equivalent experience.

Preferred:

• Familiarity with Google SRE principles and the concepts outlined in the Google SRE Book.
• In-depth understanding of the HTTP protocol and experience diagnosing distributed system latency issues.
• Experience with instrumentation and management of automated deployments.
• Experience resolving customer-facing production issues under time pressure.
• Experience with capacity planning, load testing, and performance benchmarking at scale.
• Experience working with distributed, cross-functional teams

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