Senior Software Engineer at SentiLink

Gurugram, Haryana, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Fintech, Identity Verification, Financial ServicesIndustries

Requirements

5+ years of experience in software development, observability, SRE, or similar roles
Proficiency with monitoring tools (e.g., Datadog, Prometheus, CloudWatch) and distributed tracing systems
Strong programming skills in Python, Go, or a similar language
Experience with infrastructure-as-code tools like Terraform/Terragrunt
Knowledge of SLIs, SLOs, and SLAs, and how they align with business objectives
Familiarity with cloud platforms (AWS preferred) and distributed systems
Strong analytical, problem-solving, and collaboration skills

Responsibilities

You are the owner of one large section of our codebase
Develop improved monitoring and alerting across SentiLink products and services, while actively reducing false positives
Troubleshoot, debug, and resolve product issues as they arise; participate in on-call rotations for production issues
Define and refine Service Level Indicators (SLI), Service Level Objectives (SLO), and Service Level Agreements (SLA) in collaboration with product and engineering teams
Build and maintain dashboards to provide visibility into system performance and reliability
Collaborate with engineering teams to improve root cause analysis processes and reduce Mean Time to Recovery (MTTR)
Drive cost optimization for observability tools like Datadog, CloudWatch, and Sumo Logic
Analyze and optimize performance bottlenecks by leveraging observability data
Develop and maintain incident response runbooks and improve processes to minimize service downtime
Research and evaluate new observability tools and technologies to enhance system monitoring

Skills

Software Engineering

Observability

Monitoring

Alerting

Troubleshooting

SLA Management

Codebase Ownership

APIs

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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