Staff Engineer, Cloud Platform

Accountabilities

• Define and drive the technical strategy for platform observability across AWS and GCP, covering metrics, logs, traces, and events.

• Build, maintain, and improve observability infrastructure using Datadog, Prometheus, Grafana, and OpenTelemetry, including shared instrumentation libraries and collectors.

• Partner with service owners to establish meaningful Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error budgets, supported by dashboards and burn-rate alerts.

• Improve alert quality by reducing noise, ensuring alerts are actionable, correctly routed, and supported by clear runbooks.

• Reduce mean time to detect (MTTD) and mean time to recover (MTTR) through better tracing, event correlation, and incident tooling.

• Manage observability costs through cardinality controls, log-volume optimization, sampling, and retention strategies.

• Lead cloud FinOps initiatives, establishing tagging standards, cost allocation, and showback reporting across teams and services.

• Identify and implement cloud cost savings through resource right-sizing, autoscaling, spot capacity, storage optimization, idle-resource cleanup, and data-transfer reduction.

• Develop cloud commitment strategies, including Savings Plans, Reserved Instances, and committed-use discounts, in partnership with finance.

• Build cost-management automation and guardrails, including budget alerts, anomaly detection, and policy-as-code controls.

• Define unit economics, such as cost per customer or device, and integrate cost considerations into engineering design decisions.

• Collaborate with finance on cloud forecasting and budgeting, translating technical spending data into clear recommendations for leadership.

• Own the end-to-end incident management framework, including severity definitions, on-call rotations, escalation paths, communications, and supporting tools.

• Lead major incident response as an incident commander or senior escalation point, coordinating technical teams and keeping customers and leadership informed.

• Conduct root cause analyses for significant incidents and ensure corrective actions are completed to prevent recurrence.

• Develop AI agents and automation that correlate alerts, logs, traces, and recent changes to accelerate root cause identification.

• Build safe self-healing capabilities that detect and remediate known issues proactively, with appropriate safeguards and human approval where necessary.

• Define and track operational health metrics, including MTTD, MTTR, recurring incidents, and on-call workload.

• Own business continuity and disaster recovery strategy for the cloud platform, defining Recovery Time Objectives (RTOs) and Recovery Point Objectives (RPOs) with product and leadership teams.

• Design and implement disaster recovery environments across AWS and GCP, covering replication, backups, failover, and failback.

• Plan and execute regular disaster recovery tests and failover exercises, document outcomes, and drive remediation of identified gaps.

• Maintain recovery automation, disaster recovery runbooks, and business continuity documentation, supporting audits and customer evidence requests.

• Write production-quality Go or Python code for platform tooling, exporters, data pipelines, and operational automation.

• Work with customer support teams to turn tickets and escalations into improved monitoring, actionable alerts, and lasting technical fixes.

• Partner with product engineering teams to promote reliability, recoverability, and cost-conscious system design.

• Produce technical design documents, review architecture across engineering teams, and mentor engineers in observability, reliability, and FinOps practices.

Requirements:

• 10+ years of software engineering experience, including at least 4 years in platform engineering, Site Reliability Engineering (SRE), or infrastructure roles supporting large-scale, 24/7 SaaS environments.

• Extensive hands-on experience designing and operating observability solutions using Datadog, Prometheus, Grafana, and/or OpenTelemetry.

• Strong understanding of service instrumentation, SLO design, error budgets, alerting strategies, and production monitoring.

• Demonstrated success in reducing cloud infrastructure costs, with measurable results and the ability to explain the savings achieved.

• Practical experience with AWS cost-management tools such as AWS Cost Explorer, Cost and Usage Reports (CUR), Kubecost, or equivalent platforms, including cloud commitment planning.

• Strong software development skills in Go or Python, with experience building production-grade tools and automation rather than relying solely on scripts or dashboards.

• Extensive production experience with both AWS and Google Cloud Platform (GCP), infrastructure as code using Terraform, and Kubernetes.

• Proven experience owning on-call and incident management processes, leading major incidents, and conducting root cause analyses that result in lasting improvements.

• Hands-on experience building incident response or remediation automation, including AI agents or LLM-based tools for root cause analysis and automated remediation.

• Experience designing and testing disaster recovery strategies for production SaaS systems, including RTO/RPO targets, recovery environments, replication, and failover exercises.

• Software engineering background and experience working closely with customer support teams to resolve technical issues and minimize customer impact.

• Staff-level technical leadership, with the ability to influence multiple engineering teams, drive adoption of shared standards, and lead initiatives without direct managerial authority.

• Strong communication and collaboration skills, including the ability to translate cloud usage, reliability, and cost data into clear decisions for technical and business stakeholders.

• Bachelor's degree in Computer Science or a related discipline, or equivalent practical experience.

• Fluency in written and spoken English, as the organization operates across international teams.

• Willingness and ability to participate in assigned on-call shifts and respond to production alerts.

• A collaborative mindset, commitment to continuous improvement, and ability to build strong working relationships across teams.

• Preferred: FinOps Certified Practitioner credential or practical experience applying the FinOps Framework.

• Preferred: Experience with cloud cost-management platforms such as CloudHealth, Vantage, Cloudability, or AWS Compute Optimizer.

• Preferred: Experience building cloud cost and usage data pipelines using AWS CUR, BigQuery billing exports, Athena, or similar technologies.

• Preferred: Experience operating large-scale self-managed observability platforms, including Prometheus, Thanos, Mimir, Loki, or Tempo, and evaluating them against SaaS alternatives.

• Preferred: Exposure to eBPF-based monitoring, continuous profiling, or real-user monitoring.

• Preferred: Experience managing or negotiating vendor contracts related to cloud infrastructure or observability services.

• Preferred: Open-source contributions, technical publications, or conference presentations focused on observability or FinOps.

Benefits:

• Fully remote working arrangement within India.

• Opportunity to take technical ownership of critical cloud platform capabilities in a global SaaS environment.

• Exposure to large-scale AWS and GCP infrastructure, modern observability technologies, FinOps, and AI-driven automation.

• Scope to influence platform architecture, engineering standards, reliability strategy, and cloud cost optimization across multiple teams.

• Collaboration with experienced engineering, product, customer support, finance, and leadership professionals.

• Opportunities to mentor engineers, share technical expertise, and contribute to continuous improvement.

• Inclusive and collaborative work culture that values diverse perspectives, innovation, and professional growth.

• Salary, healthcare coverage, insurance, paid leave, retirement benefits, and other specific perks are not detailed in the job description.