Senior Cloud Engineer, AdeptID

$125-190k

+ Equity

AWS

Docker

Terraform

Grafana

RDS

Senior and Expert level

Boston

More information about location

3 days a week in office (Seaport, Boston)

Talent matching engine

Open for applications

Talent matching engine

21-100 employees

B2BEnterpriseRecruitmentHRMachine LearningSaaSAPI

Open for applications

$125-190k

+ Equity

AWS

Docker

Terraform

Grafana

RDS

Senior and Expert level

Boston

More information about location

3 days a week in office (Seaport, Boston)

21-100 employees

B2BEnterpriseRecruitmentHRMachine LearningSaaSAPI

Company mission

AdeptID’s mission is to make job mobility easier for all people, regardless of educational attainment.

Job

Company

Role

Who you are

5+ years of DevOps/Cloud engineering experience, with deep AWS expertise
Strong experience designing scalable, cost-effective cloud architectures
Strong infrastructure-as-code experience (Terraform, AWS CDK, or similar)
Experience with infrastructure-as-code and automated deployment
Background in building secure, compliant infrastructure for data-intensive applications

What the job involves

Design and implement cloud infrastructure to support our growing distributed systems
Drive infrastructure-as-code practices and cloud security and compliance standards
Optimize infrastructure costs while ensuring performance and reliability
Build and maintain CI/CD pipelines and automated deployment processes
Build cloud-native solutions for data processing and ML model hosting
Technical Challenges We're Tackling:
Scale our AWS infrastructure to handle 300M+ annual job placements across multiple geographic regions
Implement robust monitoring and alerting for ML model performance and data pipelines
Develop robust disaster recovery and high-availability systems
Design secure, compliant systems for handling sensitive data at scale
Our Technical Environment:
Stack: AWS (ECS, RDS, OpenSearch), CDK, GitHub Actions, Docker, OpenTelementry, Grafana
Scale: 100M job placements last year, expanding 3-5X across multiple regions
Team: 6-person engineering team, working closely with ML and platform engineers
Development practices: Infrastructure-as-code, automated testing, security-first mindset
Emphasis on automation and self-service developer tools
Reports to: Head of Engineering, partners with Technical Lead
Drives infrastructure decisions and implementation
Key interfaces: Platform engineering team and security stakeholders

Our take

Talent identification and acquisition has always been a challenge for HR teams, but the labor shortage is making it more difficult than ever. The founders of AdeptID believe that poor talent matching is a billion-dollar problem, and they’re aiming to address it with its machine-learning-powered API.

While there’s no shortage of talent search and matching platforms, from LinkedIn to Zoho Recruit, AdeptID sets itself apart by providing an API which plugs into existing infrastructure. Another interesting aspect of AdeptID’s approach is how its ML tech focuses on lesser-explored talent avenues, particularly candidates who don’t hold degrees and might otherwise be filtered out in other talent searches.

Having only launched in 2020, AdeptID's bootstrapped first year brought in an encouraging $1 million. Since then, it's been backed by Zeal Capital Partners, and the company has been scaling operations in the last couple of years. It is also a certified B-corp, and in 2023, partnered with OneTen to improve hiring outcomes for black talent in the US.

Kirsty

Company Specialist at Welcome to the Jungle

Company

Funding (1 round)

Dec 2021

$3.5m

SEED

Total funding: $3.5m

Company benefits

Opportunity to join an exciting venture in its early stage

Company HQ

Financial District, Boston, MA

Leadership

Fernando Rodriguez-Villa

(Co-Founder & CEO)

Was commercial lead and founding team member at satellite analytics company TellusLabs (acquired by Indigo). Became Indigo's Director of International Strategy post acquisition. Also worked in Business Development at adaptive learning company Knewton.

Brian DeAngelis

(Co-Founder & Chief Data Scientist)

Served as a Data Scientist at Indigo before co-founding AdeptID. Previously worked as an Analyst at Opera Solutions, specializing in Machine Learning and Data Science. Co-founded the Hopewell Hockey Company in 2016.

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