Engineering Manager, Infrastructure at BenchSci

Toronto, Ontario, Canada

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

SaaS, TechnologyIndustries

Requirements

4-5 years of experience in a similar role in a SaaS or similar industry
In-depth experience with cloud infrastructure (AWS, Azure, GCP)
Experience developing, maintaining, and scaling CI/CD pipelines
Experience developing, maintaining, and scaling build tools for supporting large monorepo codebases and service-oriented architectures
Working knowledge of infrastructure-as-code solutions such as Terraform or KCC
A deep understanding of containerization, and extensive experience with Docker and Kubernetes
Expert knowledge of observability tools and techniques in a cloud-native environment
Experience working with Python, Javascript, or similar programming languages
Experience as a People Manager is a must

Responsibilities

Identify parts of our system and codebases that do not scale or meet reliability, performance, observability, and security requirements
Work with the infrastructure team to drive high-quality designs to improve and scale our infrastructure provisioning and CI/CD pipelines
Collaborate closely with the security and GRC teams to ensure that our cloud configuration has adequate security controls, and meets contractual and compliance requirements
Develop and exercise disaster recovery plans and improve those capabilities
Partner with various engineering teams and identify opportunities to improve our development tooling, frameworks, and infrastructure
Partner closely with other Staff Engineers, Engineering Managers, and Directors to devise and refine requirements to create development tooling, and build systems and services that accelerate the velocity of our engineers
Lead software and system design initiatives by leveraging cloud-native design patterns and injecting your cloud expertise into the entire development lifecycle
Provide technical leadership across several areas within the team
Lead complex projects
Participate in roadmap and project planning
Actively contribute to BenchSci's technical roadmap

Skills

Key technologies and capabilities for this role

AWSAzureGCPCI/CDInfrastructure ProvisioningMonorepoCloud-Native DesignDisaster RecoveryObservabilitySecurity Controls

Questions & Answers

Common questions about this position

What is the work arrangement for this role?

This is a full-time hybrid position.

What are the key benefits offered?

Benefits include a great compensation package with equity options, robust vacation policy with extra days annually, company closures, flex time, comprehensive health and dental, learning budget, home office setup, lifestyle spending account, generous parental leave, and retirement savings with company match.

What experience and skills are required for this position?

Required are 4-5 years in a similar role in SaaS, in-depth cloud infrastructure experience (AWS, Azure, GCP), CI/CD pipeline scaling, build tools for monorepos and service architectures, IaC like Terraform, Docker and Kubernetes, observability tools, Python/Javascript, and people management experience.

What does the compensation package include?

The package includes a great compensation with BenchSci equity options; specific salary details are not provided.

What makes a strong candidate for this Engineering Manager role?

A strong candidate has 4-5 years in a similar SaaS role, people management experience, and deep expertise in cloud infrastructure, CI/CD, IaC, Docker/Kubernetes, observability, and languages like Python or Javascript.

BenchSci

AI-driven platform for preclinical research

About BenchSci

BenchSci operates in the biotechnology sector, specializing in preclinical research and development. The company uses artificial intelligence and machine learning to create a detailed map of disease biology, which helps scientists understand existing research and improve their R&D efficiency. Its main product, ASCEND, is a platform that extracts evidence from various data sources to assist scientists in hypothesis generation and risk identification. BenchSci aims to enhance research capabilities and reduce risks in preclinical studies.

Toronto, CanadaHeadquarters

2015Year Founded

$156.6MTotal Funding

SERIES_DCompany Stage

AI & Machine Learning, BiotechnologyIndustries

201-500Employees

Benefits

Remote-first culture

Equity options

15 days vacation + additional day every year

Unlimited flex time

Comprehensive health & dental benefits

Psychotherapist services

Annual Learning & Development budget

Home office set-up budget

Wellness, lifestyle & productivity spending account

Risks

17% workforce reduction may impact morale and innovation at BenchSci.

Heavy reliance on external funding poses financial risks if future rounds falter.

Rapid team expansion could lead to integration challenges and inefficiencies.

Differentiation

BenchSci's ASCEND platform uses AI to map disease biology for drug discovery.

ASCEND helps scientists identify risks and generate hypotheses in preclinical R&D.

BenchSci's AI Reagent Selector improves reagent selection efficiency in drug development.

Upsides

$95M Series D funding boosts BenchSci's AI platform development and market reach.

Generative AI integration enhances ASCEND's predictive capabilities for hypothesis generation.

Recognition as a Best Workplace for Inclusion attracts top talent and fosters innovation.

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