{"id":188002,"url":"https://alion.io/job/smartsheet-principal-software-engineer-observability-telemetry-data","title":"Principal Software Engineer - Observability & Telemetry Data","company":{"id":1678,"name":"Smartsheet","domain":"smartsheet.com","url":"https://alion.io/company/smartsheet","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":80,"open_postings":20,"ghost_share":0,"stale_share":0.8,"repost_share":0,"time_to_fill_p50_days":57,"computed_at":"2026-10-20T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":"lead","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Bellevue, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":222500,"max":257500,"currency":"USD","period":"year","gross":null,"usd_annual":257500},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"Apache Kafka","optional":false},{"name":"ArgoCD","optional":false},{"name":"AWS","optional":false},{"name":"AWS Fargate","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Databricks","optional":false},{"name":"Datadog","optional":false},{"name":"Delta Lake","optional":false},{"name":"Fluent Bit","optional":false},{"name":"Fluentd","optional":false},{"name":"GitOps","optional":false},{"name":"Go","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"MLFlow","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Smartsheet","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Alertmanager","optional":true},{"name":"FedRAMP","optional":true},{"name":"FinOps","optional":true},{"name":"Grafana","optional":true},{"name":"LLM","optional":true},{"name":"Prometheus","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-09-01T22:43:58Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-20T15:39:08Z","board_verified":true,"closed_at":null,"days_open":48,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":48},"description":"For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day.\nObservability Engineering owns the breadth and depth of observability and telemetry at Smartsheet. We build and operate the shared platform every engineering team depends on to understand how their software behaves in production (metrics, logs, distributed traces, RUM, synthetics, and AI/agentic telemetry) across a global, multi-region, commercial and government footprint. We are consolidating ownership of all of it into a single correlated platform, and treating telemetry as what it actually is: one of the largest and most valuable datasets at the company. It's a broad mandate with real scope to shape, and we hold this internal platform to the same rigor, reliability, and product standards as customer-facing software. \nAs a Principal Software Engineer (Observability & Telemetry Data), you will set the technical direction for how Smartsheet collects, models, stores, and derives value from telemetry data. This is an architect role: you will define the telemetry data platform and the standards that govern it, carry that architecture across engineering org boundaries, partner with our Data and AI Platform teams on Databricks and MLflow integration, and act as the company's definitive technical voice on observability. You will influence roadmaps you do not own, resolve the hard design trade-offs between fidelity and cost, and raise the technical bar for every engineer instrumenting a service. \nThis full-time position reports to the Team Lead, Observability Engineering and can be located in our Bellevue, WA office, or you may work remotely from anywhere in the US where Smartsheet is a registered employer. \nYou Will \nArchitect the Telemetry Data Platform: Own the end-to-end design for how telemetry is landed, modeled, and queried, including open table formats, partitioning and schema evolution strategy, separation of storage and compute, tiered retention, and the query interfaces engineers actually use. Make telemetry a durable, portable, Smartsheet-owned dataset rather than a vendor-locked byproduct. \n Own the Telemetry Data Model: Define the semantic conventions, shared business identifiers (user, org, plan, tenant), and schema standards that let any signal be correlated with any other, and drive their adoption across every service team at Smartsheet. \n Set OpenTelemetry Direction: Lead the migration to OTel-based instrumentation, defining collector architecture, context propagation, and sampling strategy (including tail-based sampling) so that engineers can move from a log line to a trace to a metric without losing the thread.\n Integrate AI and Agentic Telemetry with Databricks: Own the architecture connecting our observability platform to Databricks and MLflow, so that agentic and model telemetry (prompt, completion, tool and MCP calls, evaluation results) is captured un-sampled, stays useful under the input/output redaction our governance requires, and reconciles cleanly with the traces and metrics in our primary observability stack. \nInstrument the Data Platform Itself: Bring first-class observability to our data estate, including Databricks jobs, pipelines, and warehouses, with meaningful signals for freshness, data quality, lineage, and cost, so data reliability is measured with the same discipline as service reliability. \nBuild the Analytics Layer on Telemetry: Turn telemetry into decision-grade analytics, covering reliability and incident metrics, telemetry cost and chargeback models, and adoption and coverage reporting that leadership can act on. \n Engineer Collection and Routing at Scale: Architect the high-volume collection and routing tier (FluentBit, Kinesis, and OTel collectors) that moves telemetry from every service to its destination across US, EU, AU, and GovCloud regions, and own the migration of these pipelines as we consolidate onto a unified backend. \nOwn Telemetry Economics: Set the cost architecture for observability data, including ingest governance, cardinality control, and storage tiering, so that teams get the fidelity they need to debug without the spend pressure that causes them to under-instrument. \nCarry Architecture Across Org Boundaries: Partner with the Data Platform, AI Platform, and infrastructure organizations to align telemetry architecture with theirs, influence roadmaps you do not own, and represent observability in company-level platform and vendor decisions. \nRaise the Technical Bar: Lead design and code reviews, author the architecture decisions and standards others build against, and mentor senior and mid-level engineers on instrumentation, telemetry data modeling, and cost-aware design. \nParticipate in a production support and on-call rotation, taking ownership of the most complex issue resolution and driving root-cause analysis that improves system resiliency. \nYou Have \n10+ years of experience building and operating large-scale distributed systems, data platforms, or observability infrastructure, including time at Principal or Staff level. \n Deep Observability Expertise: Hands-on production ownership of metrics, logs, and distributed tracing at scale, including at least one major backend (Datadog, or comparable) and a working understanding of cardinality and cost mechanics. \n Telemetry Data Engineering: Demonstrated depth in large-scale data architecture, including open table formats (Delta Lake, Apache Iceberg), Spark or comparable distributed processing, streaming ingestion, partitioning and schema evolution, and query performance and cost tuning over very large datasets. \n Databricks Depth: Practical experience with the Databricks platform (jobs, clusters, Unity Catalog, Delta) and with MLflow for model and agent telemetry. \nOpenTelemetry Depth: Practical experience with OTel collectors, semantic conventions, context propagation, and sampling strategy, including tail-based sampling. \nPipeline Engineering: Experience with high-volume log and telemetry pipelines, including FluentBit or Fluentd, streaming transport such as Kinesis or Kafka, and search backend index and mapping design.\nAdvanced AWS & Kubernetes Expertise: EKS, ECS Fargate, EC2, Lambda, and CloudWatch in production. \n10+ years of programming experience with modern languages such as Go, Java, Python, or Scala, and strong SQL. \nInfrastructure as Code: Terraform, and GitOps workflows such as Flux or ArgoCD. \n Architectural Influence at Scale: A track record of setting technical direction that multiple teams and organizations adopted, including the written artifacts (architecture decisions, standards, RFCs) that made it durable after you moved on. \nStrong incident response instincts, with experience improving mean-time-to-resolution through better instrumentation and better data rather than more heroics. \nA degree in Computer Science, Engineering, or a related field, or equivalent practical industry experience.\nLegally eligible to work in the U.S. on an ongoing basis \nNice to Have \nExperience instrumenting LLM or agentic systems, including OTel GenAI semantic conventions and tracing agent tool-call workflows. \n Data reliability engineering practice: freshness, quality, and lineage SLOs for production data pipelines\nTelemetry cost engineering or FinOps at scale. \nExperience in regulated environments (FedRAMP, GovCloud) and designing telemetry that remains useful under redaction. \nPrometheus, Grafana, and Alertmanager. \nSnowflake, or experience operating across more than one lakehouse or warehouse platform. \nService catalog or internal developer platform work (Backstage or similar). \nCurrent US Perks & Benefits:\nEmployer subsidized medical/vision and dental coverage for full-time employees\n401k Match to help you save for your future (50% of your contribution up to the first 6% of your eligible pay)\nMonthly stipend to support your work and productivity\nFlexible Time Away Program, plus Sick Time Off\nUS employees are automatically covered under Smartsheet-sponsored life insurance, short-term, and long-term disability plans\nUS employees receive 12 paid holidays per year\nUp to 24 weeks of Parental Leave\nPersonal paid Volunteer Day to support our community\nOpportunities for professional growth and development including access to Udemy online courses\nCompany Funded Perks, including a counseling membership, local retail discounts, and your own personal Smartsheet account\nTeleworking options from any registered location in the U.S. (role specific)\nSmartsheet provides a competitive base salary range for roles that may be hired in different geographic areas we are licensed to operate our business from. Actual compensation is determined by several factors including, but not limited to, level of professional, educational experience, skills, and specific candidate location. In addition, this role will be eligible for a market competitive incentive opportunity.\nUS Base Salary Pay Range\n$222,500—$257,500 USD\nGet to Know Us:\nAt Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths-because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together.\nEqual Opportunity Employer:\nSmartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, India, and Singapore. 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