[Remote] Senior DevOps Engineer at Ada

Canada

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Technology, SaaSIndustries

Requirements

5+ years of experience in DevOps, Site Reliability Engineering (SRE), or platform teams
Strong motivation and experience in using automation to reduce operational toil for both the DevOps and product engineering teams
Hands-on experience managing and scaling data infrastructure
Hands-on experience with containers and distributed computing platforms like Kubernetes
Experience creating and supporting cloud-based systems at scale (AWS/Azure/GCP), with a strong emphasis on Infrastructure as Code (IaC)
Strong understanding of a server-side programming language (proficient in one or more of the following languages/tools: Python, and/or bash scripting)
Experience handling on-call responsibilities for production services
Experience managing critical production infrastructure, ensuring reliability and uptime, with a customer-first approach to operational safety
Good understanding of DevOps concepts and best practices
Experience with MongoDB and horizontally scaling data stores (i.e. sharding)

Responsibilities

Create and support scalable and highly reliable software systems to support our growth
Collaborate with product and engineering teams to incorporate reliability into product and feature requirements
Continuous analysis of the existing infrastructure from the reliability perspective, centered around removing performance bottlenecks, optimizing the infrastructure, the toolkit, and the workflows involved in running it
Support various developer tools and processes (deployments, infrastructure management, among others)
Work with engineering teams to troubleshoot core infrastructure issues and support teams as a consulted entity for service-specific infrastructure needs
Implement DevOps solutions across cloud infrastructure, infrastructure as code, deployments, and platform abstractions
Participate in an on-call rotation for the services the team owns, triaging and addressing production issues

Skills

DevOps

SRE

Cloud Engineering

Automation

Infrastructure

Platform Engineering

Ada

Automates customer service with AI chatbots

About Ada

Ada provides automated customer experience solutions through AI-powered chatbots that help businesses streamline customer service tasks. The platform operates on a subscription model, allowing companies to automate repetitive tasks and improve customer satisfaction while reducing costs. Ada differentiates itself by offering a comprehensive suite of services, including consulting and managed services, backed by strong venture capital support. The company's goal is to transform customer service management by enhancing efficiency and engagement through automation.

Toronto, CanadaHeadquarters

2016Year Founded

$185.3MTotal Funding

SERIES_CCompany Stage

Enterprise Software, AI & Machine LearningIndustries

201-500Employees

Risks

Emerging AI chatbot startups pose a threat to Ada's market share.

Rapid AI advancements require continuous updates, straining Ada's resources.

Data privacy regulations could increase compliance costs for Ada.

Differentiation

Ada specializes in AI-driven chatbots for automated customer experience solutions.

The company offers a subscription-based model ensuring steady revenue and client engagement.

Ada provides consulting, development, and managed services to enhance customer support operations.

Upsides

Ada raised $130M in Series C funding, boosting its growth potential.

Partnerships with platforms like Zendesk enhance Ada's integration capabilities.

Growing demand for AI solutions supports Ada's market expansion and client acquisition.

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