Infrastructure Engineer at SentiLink

Gurugram, Haryana, India

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Financial Services, Identity Verification, FintechIndustries

Requirements

Candidates should have 3 years of experience in cloud infrastructure, DevOps, or systems engineering, with expertise in AWS and infrastructure-as-code development. Experience with CI/CD pipelines, automation tools, managing observability platforms, building monitoring dashboards, and configuring actionable alerting is required. A strong understanding of Linux systems and networking, familiarity with container orchestration tools like Kubernetes or Docker, excellent analytical and problem-solving skills, and experience operating enterprise-size databases (Postgres, Aurora, Redshift, and OpenSearch) are also necessary.

Responsibilities

The Infrastructure Engineer will improve alerting across systems and services, developing high-quality monitoring capabilities while reducing false positives. Responsibilities include troubleshooting and resolving infrastructure issues, participating in on-call rotations, defining SLIs, SLOs, and SLAs, and developing monitoring and alerting configurations using IaC solutions like Terraform. The role involves building and maintaining dashboards, collaborating with engineering teams to improve root cause analysis and reduce MTTR, driving cost optimization for observability tools, performing capacity testing, overseeing Kubernetes and service mesh infrastructure, investigating operational alerts, conducting examinations of database operational issues, and developing incident response runbooks.

Skills

Infrastructure

Observability

Monitoring

Alerting

Troubleshooting

Debugging

SLA Management

System Reliability

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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