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Snowflake · Menlo Park, CA · posted 5 days ago
By AtiveSite · Published 07/11/2026 · Updated 11/11/2026 · Every figure is linked to its source below.
| Employer | Snowflake |
|---|---|
| Location | Menlo Park, California |
| Field | Technology › Software engineering |
| Level | not stated |
| Source category | Engineering, Engineering |
| Posted | 2026-11-06 (5 days ago) |
| Work arrangement | On-site at the location listed |
| Pay | Not published in the source listing |
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
Build the foundation for faster, safer innovation.
Snowflake’s AI Data Cloud supports critical enterprise workloads across multiple clouds and regions. As AI accelerates software development, the volume and pace of change are outgrowing what engineers can manually review, coordinate, and monitor. Moving faster requires systems that make understanding, diagnosing, and resolving issues an integral part of how customers and engineers work.
The Observability team builds the telemetry, analytics, and diagnostic platform that helps Snowflake customers and engineers understand the health of their workloads and services, detect problems early, and resolve them quickly. We’re looking for a hands-on, product-minded Principal Software Engineer I to help build an AI-driven observability platform, combining deep distributed-systems engineering with a strong instinct for what customers and developers need.
You will shape technical direction, solve challenging systems problems, and lead initiatives from concept to customer launch across engineering, product, and design. The opportunity is to build a platform where AI agents and engineers detect, diagnose, and resolve issues together, so that growing scale and complexity translate into faster answers rather than more manual investigation.
Architect and build distributed infrastructure. Design scalable pipelines and services for ingesting, storing, and querying logs, metrics, traces, and events at very high volume, with predictable cost, low query latency, fault isolation, and clear data-freshness guarantees.
Ship observability products to customers. Partner with product management and design to define and deliver customer-facing capabilities, from telemetry collection and alerting to dashboards and diagnostics, that work natively within Snowflake. Turn customer feedback and usage data into product decisions, and own outcomes through launch and adoption.
Build AI-driven detection and diagnosis. Develop agentic workflows that correlate signals across the stack, surface anomalies, explain likely root causes, and recommend or take remediation steps. Ground these capabilities in high-quality telemetry and rigorous evaluation so customers and engineers can trust them.
Build and work AI-first. Make AI integral to how you design, implement, test, and operate software. Establish rigorous evaluation, security, and reliability standards for AI-powered capabilities, and drive adoption of AI-first practices across the team.
Lead from architecture through adoption. Translate ambiguous customer and developer needs into practical designs and milestones. Deliver intuitive APIs, SDKs, and self-service experiences built on open standards such as OpenTelemetry, and guide incremental migrations from existing tooling.
Raise the engineering bar. Write and review production code, diagnose complex failures, own operational outcomes, and mentor engineers. Influence across teams through technical depth, clear communication, and sound judgment.
12+ years of software engineering experience, including technical leadership of complex backend, infrastructure, or data-platform initiatives spanning multiple teams.
Deep experience designing, building, and operating large-scale distributed systems, with strong understanding of concurrency, consistency, caching, failure recovery, storage and query efficiency, and performance.
Strong computer science fundamentals and hands-on proficiency in Java, Go, C++, or a comparable backend language, plus experience with AWS, Azure, or Google Cloud.
An AI-first engineering practice: you actively use AI throughout the software lifecycle and can demonstrate how it improves your execution, problem-solving, and quality. You are ready to build AI-powered platform capabilities and help others adopt this approach.
A track record of shipping products to external customers: partnering with product and design, turning ambiguous problems into delivered systems, making scope and quality trade-offs, and driving adoption, reliability, and customer satisfaction after launch.
Clear written communication, low-ego collaboration, strong ownership, and experience mentoring senior engineers.
A degree in Computer Science or a related field, or equivalent practical experience.
Especially relevant: Experience building observability, monitoring, or analytics platforms (logs, metrics, traces, alerting); OpenTelemetry; time-series or columnar storage; AIOps or agentic diagnosis systems; or developer-facing data products.
Help build the platform that lets customers and engineers understand and resolve issues faster than manual investigation allows, with the scale and trust that critical workloads demand.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
Field: Technology Sub-niche: Software engineering All jobs at Snowflake Jobs in California Jobs in Menlo Park, CA Menlo Park city guide California state guide San Mateo County economy
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This is a — role in the Technology field (Software engineering) at Snowflake.
We could not match this job title to one occupation in the official wage statistics, so no pay estimate is shown. Pay is not in the source listing; ask the employer for the range and compare in the 240 job niches.
Estimate for a wage earner: 2026 federal brackets and standard deduction (IRS), Social Security 6.2% up to $184,500, Medicare 1.45% (+0.9% above $200,000 single / $250,000 married), and a state rate you set; set your own state tax rate. It ignores credits, pre-tax deductions, local taxes and benefits. Sources: IRS: tax year 2026 inflation adjustments · SSA wage base per Federal Register notice 2025-19763.
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The job is in Menlo Park, CA. Below is what the official statistics say about living and working there.
How Menlo Park compares. Among the 145 largest places in California, Menlo Park is #133 by population, #9 for household income (#1 = highest), #135 for rent (#1 = cheapest), #11 for college degrees (#1 = most). Its county, San Mateo County, is #2 of 58 counties for average pay ($196,441).
Menlo Park has 32,727 residents (ACS 2020–2024), about 0.1% of the population of California. It covers 10 square miles of land, which works out to roughly 3,276 people per square mile. The median age is 39.5, 4% older than the state median (39.5 against 37.9).
The median gross rent is $3,239 a month (rent plus utilities), 59% above the state median ($3,239 against $2,036). Over a year that is 18.5% of the median household income. US housing guidance treats housing as affordable when it takes 30% of income or less, so the typical household is under that line. The median home value is above $2 million (the ACS reports $2,000,001 as its highest value, so the true median is higher), which is at least 9.5 times the median household income ($210,025); a ratio above 5 usually means buying is out of reach without savings or a second income. 54.2% of households own their home, about the same as the state average (54.2% against 55.9%).
The San Francisco-Oakland-Fremont, CA metropolitan area has 2,373,920 jobs in the BLS wage survey, and the median pay across all occupations is $74,260 a year, 46% above the national median ($74,260 against $50,980). The biggest occupation groups are office and administrative support (226,320 jobs, median $62,120); management (223,100 jobs, median $176,340); business and financial operations (207,030 jobs, median $112,960). The area is most specialised in computer and mathematical (1.9 times) and life, physical, and social science (1.8 times), where the share of workers is well above the national share. The best-paying groups with at least 5,000 jobs are management ($176,340) and computer and mathematical ($167,770). In 2026M09 the unemployment rate of San Mateo County was 3.9%. 65.9% of residents aged 16 and over are in the labour force. The city lies in San Mateo County; its jobs, pay by industry and GDP are on the county page.
Among workers, 48.4% drive alone, 2.0% use public transit, 1.7% walk, 32.4% work from home. 11.5% of workers commute 45 minutes or more, 41% below the state average (11.5% against 19.4%). Remote work is more common than in the state as a whole, which widens the set of employers a resident can work for without moving.
72.5% of adults aged 25 and over hold a bachelor's degree or higher, 96% above the state share (72.5% against 37.1%). 30.0% of residents were born outside the United States, 11% above the state share (30.0% against 27.0%). The poverty rate is 5.8%, 52% below the state rate (5.8% against 12.0%).
The warmest month is Aug, averaging 68°F (19.8°C), and the coolest is Jan at 47°F (8.3°C). About 510 mm (20 inches) of precipitation falls in a year; Dec is the wettest month (114 mm) and Jul the driest (0 mm). These values come from NASA satellite-based climatology on a grid of about 50 km, so they describe the wider area, not a weather station in the city.
Closest cities in this guide: East Palo Alto (1 miles, rent 31% lower); Atherton (3 miles, rent 8% higher); Redwood City (4 miles, rent 8% lower); Palo Alto (6 miles, rent 8% higher). Rent differences are against Menlo Park; use the Compare tab to put any two cities side by side.
Full guide to Menlo Park →California guideAll jobs in Menlo Park
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We could not match this title to one occupation, so here are the other sub-niches in Technology, where your skills may carry over:
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A private-sector role in technology (software engineering) listed 5 days ago. The full description is on this page and on the employer's page.
Menlo Park, CA.
Use the "View this job and apply on the employer's page" button. AtiveSite does not receive applications.
The listing does not publish pay, and we could not match the title to one official occupation.
Median rent in Menlo Park is $3,239 a month and median household income $210,025 (ACS 2020–2024).
It was posted on 2026-11-06 (5 days ago). Jobs older than 90 days are not shown.
Yes: browse software engineering jobs in California.
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