Senior Infrastructure Engineer

Austin, Texas, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Identity Verification, Risk Solutions, Financial Services, FintechIndustries

Requirements

Candidates should have at least 4 years of relevant work experience and familiarity with AWS cloud infrastructure, managing infrastructure as code, and cloud identity and access management. Experience developing cloud networking infrastructure, including DNS, CDNs, load balancers, VPCs, subnets, and security groups is required, along with experience scaling and migrating production systems with little to no downtime. Experience managing observability platforms, building monitoring dashboards, and configuring high quality, actionable alerting is also necessary, as is experience working on software development.

Responsibilities

The Senior Infrastructure Engineer will construct infrastructure as code, developing and enforcing best practices across configurations while preventing drift between Terraform configurations and infrastructure deployments. They will design infrastructure to enable rapid software development and data processing, implement monitoring tools and dashboards, and design, implement, and maintain scalable DevOps and CI/CD pipelines. Responsibilities also include formulating strategies and executing solutions for cloud identity and access management, collaborating with SRE and security teams, supervising and monitoring platform costs, overseeing and operating Kubernetes and service mesh infrastructure, investigating operational alerts and performing root cause analysis, and conducting in-depth examinations of database operational issues to improve performance and reliability.

Skills

Python

Aurora PostgreSQL

AWS

EC2

RDS

Redshift

Kubernetes

Docker

Terraform

CICD

Datadog

Prometheus

SumoLogic

OpenSearch

Linux

Infrastructure

Reliability

Efficiency

Security

Engineering Best Practices

SentiLink

Machine learning solutions for identity fraud detection

About SentiLink

SentiLink provides solutions to help financial institutions prevent identity fraud. Their main product uses machine learning models to detect fraudulent activities during the application process. By analyzing data and reviewing cases with a team of risk analysts, SentiLink offers insights that help clients make informed decisions about approving customers. What sets SentiLink apart from competitors is their ability to adapt their products to various types of fraud and customize them to meet the specific needs of each client. The goal of SentiLink is to enable financial institutions to minimize fraud losses while maintaining a positive customer experience.

San Francisco, CaliforniaHeadquarters

2017Year Founded

$81.7MTotal Funding

SERIES_BCompany Stage

Fintech, AI & Machine Learning, Financial ServicesIndustries

51-200Employees

Benefits

Health Insurance

401(k) Retirement Plan

401(k) Company Match

Unlimited Paid Time Off

Home Office Stipend

Risks

Sophisticated fraud techniques may outpace SentiLink's current detection capabilities.

Dependence on high-quality data could impact fraud detection effectiveness if data quality declines.

Intense competition in the fintech sector may threaten SentiLink's market position.

Differentiation

SentiLink specializes in detecting synthetic identities using proprietary machine learning models.

The company offers customizable solutions that integrate seamlessly with clients' existing systems.

SentiLink's Facets tool provides feature-specific intelligence to enhance fraud detection accuracy.

Upsides

Growing demand for synthetic identity fraud detection boosts SentiLink's market potential.

Partnerships with Scienaptic AI and Persona enhance SentiLink's fraud detection capabilities.

API-based solutions allow SentiLink to offer seamless integration and customization.

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