Senior Software Engineer - Observability and Reliability at Sigma Computing

New York, New York, United States

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$150,000 – $220,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Data AnalyticsIndustries

Requirements

Strong Computer Science fundamentals
5+ years industry experience building and maintaining high-quality software, especially software other engineers use
Apply a product mindset to infrastructure systems and feel accomplished enabling others
Desire to be a great teammate and have fun at work
Strong sense of craftsmanship, and a healthy academic curiosity

Responsibilities

Build observability tools and platforms, including: metrics, logging, distributed tracing, dashboarding, alerting, application performance management
Build with modern tools and languages like Go, Open Telemetry and Kubernetes
Participate in on-call rotation and ensure uptime of services
Create runtime tools/processes that optimize cloud triaging and limit downtime
Define best practices around making our systems and services measurable
Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (expect to be coding a majority of time)

Skills

Key technologies and capabilities for this role

GoOpenTelemetryKubernetesmetricsloggingdistributed tracingdashboardingalertingAPMGCPAWSAzure

Questions & Answers

Common questions about this position

What is the base salary range for this Senior Software Engineer role?

The base salary range is $150k - $220k annually, and compensation may vary based on qualifications, skills, competencies, and experience.

What benefits are offered for this position?

This role is eligible for stock options as well as a comprehensive benefits package.

Is this role remote or does it require office work?

This information is not specified in the job description.

What are the key qualifications required for this role?

Required qualifications include strong Computer Science fundamentals, 5+ years of industry experience building and maintaining high-quality software especially for other engineers, a product mindset to infrastructure, desire to be a great teammate, strong sense of craftsmanship, and healthy academic curiosity.

What tools and technologies will I work with in this role?

You will build with modern tools and languages like Go, Open Telemetry, and Kubernetes, focusing on observability tools including metrics, logging, distributed tracing, dashboarding, alerting, and application performance management.

Sigma Computing

Cloud-based data analytics platform for businesses

About Sigma Computing

Sigma Computing offers a cloud-based data analytics platform that enables businesses to analyze large volumes of data through a user-friendly, spreadsheet-like interface. Users can connect to their cloud data warehouse and access advanced features such as data collection, territory management, and revenue planning without needing coding skills. The platform is scalable, allowing for the analysis of billions of rows of data, and promotes self-service capabilities for faster insights. Recently, Sigma introduced AI features like data classification and natural language processing to enhance data analysis and support Enterprise AI initiatives.

San Francisco, CaliforniaHeadquarters

2014Year Founded

$550.9MTotal Funding

SERIES_DCompany Stage

Data & Analytics, AI & Machine LearningIndustries

501-1,000Employees

Benefits

Competitive pay - Looking for a great salary and solid stock options? You’ve come to the right place.

Flexible schedule - Do the work you need to get done in the time you have to get it done

Amazing benefits - Medical, dental, vision, 401k, FSA, commuter… we’ve got you covered. Literally.

Flexible vacation - At Sigma, we work to live, not live to work. So go on, book that dream vacation.

Health & wellness - A healthy body supports a healthy mind, so we partner with Crunch Fitness and CorePower.

Family-friendly - From flexible scheduling to parental leave to kids’ birthdays off, we support Sigma families.

Risks

Competition from Tableau and Power BI could threaten Sigma's market share.

Reliance on platforms like Snowflake may impact service delivery if disruptions occur.

High valuation pressures Sigma to deliver rapid growth, risking strategic misalignment.

Differentiation

Sigma offers a spreadsheet-like interface for non-technical users to analyze data.

The platform integrates with major data warehouses like Snowflake and BigQuery.

Sigma's AI features include natural language processing and sentiment analysis.

Upsides

Sigma raised $200M in Series D funding, valuing it at $1.5 billion.

The platform's scalability allows analysis of billions of data rows efficiently.

Sigma's partnerships enhance data accessibility and integration for users.

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