Senior Cloud Engineer, AdeptID
$125-190k
+ Equity
More information about location
3 days a week in office (Seaport, Boston)
Talent matching engine
Job no longer available
Talent matching engine
21-100 employees
Job no longer available
$125-190k
+ Equity
More information about location
3 days a week in office (Seaport, Boston)
21-100 employees
Company mission
To get more people into better jobs, faster.
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 HQ
Financial District, Boston, MA
Leadership
Fernando Rodriguez-Villa
(Co-Founder & CEO)Previously a 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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