[Remote] Senior Site Reliability Engineer at Vantage

Toronto, Ontario, Canada

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

BiotechnologyIndustries

Requirements

Candidates must possess at least 6 years of experience as a Site Reliability Engineer, DevOps Engineer, or in a similar role involving software and infrastructure. Proficiency in Python or Bash is required, along with hands-on experience with Azure. Familiarity with CI/CD pipelines, infrastructure as code (IaC) tools like Terraform and Ansible, and a demonstrated ability to effectively triage and prioritize incidents are essential. A history of cross-functional team engagement during incidents and post-mortems, and a track record of proactively tailoring infrastructure to product needs are also required. Bonus qualifications include experience with application deployment, data pipelines, Snowflake, relational databases, and knowledge of AWS or GCP.

Responsibilities

The Senior Site Reliability Engineer will collaborate with software engineers on iterative processes and task planning, taking ownership of service availability, scalability, and performance. They will proactively identify issues, implement automation to prevent recurrence, and participate in the on-call rotation to respond to incidents and restore service. Responsibilities include automating infrastructure provisioning, configuration, and management using IaC tools like Terragrunt and Ansible, and enhancing monitoring, logging, and alerting systems. The role also involves participating in blameless post-mortems, documenting issues, following up on action items, and fostering collaboration with other engineering teams to promote framework reuse. Staying current with industry trends and best practices in SRE, DevOps, and automation is also a key responsibility.

Skills

Python

Bash

Azure

CI/CD

Infrastructure as Code (IaC)

Terraform

Ansible

Incident Response

Application Deployment

Data Pipelines

Snowflake

Relational Databases

AWS

GCP

Vantage

Cloud cost management and optimization platform

About Vantage

Vantage.sh is a platform designed to help businesses manage and optimize their cloud costs. It provides tools for creating detailed reports on cloud expenditure, allowing users to filter and group costs by various dimensions, set monthly budgets, and receive alerts when spending exceeds those budgets. The platform supports multiple cloud providers and offers in-depth resource-level analytics, enabling users to track costs across different subscriptions and projects. A standout feature is its Kubernetes cost optimization, which helps users allocate costs by service and identify areas for efficiency. Vantage.sh operates on a self-serve model, making it easy for businesses to start using the service and save on costs, charging a low fee of 5% of the savings generated. The goal of Vantage.sh is to provide businesses with a clear understanding of their cloud spending and help them find opportunities for cost reduction.

New York City, New YorkHeadquarters

2020Year Founded

$23.8MTotal Funding

SERIES_ACompany Stage

Data & Analytics, Enterprise SoftwareIndustries

51-200Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

Company Equity

Professional Development Budget

Risks

Increased competition from new entrants like Tech1M in the cloud cost management space.

Potential over-reliance on major cloud providers could lead to vulnerabilities.

Rapid technological advancements in AI may require continuous innovation to stay competitive.

Differentiation

Vantage supports a wide range of cloud providers, including AWS, Azure, and Google Cloud.

The platform offers unique Kubernetes cost optimization and visibility features.

Vantage operates on a self-serve model with an industry-low fee of 5% of savings.

Upsides

Growing demand for cloud cost management tools as businesses adopt multi-cloud environments.

Increased interest in FinOps practices aligns with Vantage's cost optimization mission.

The rise of AI workloads presents opportunities for AI-specific cost optimization features.

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