Senior Software Engineer
Pearl HealthSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Fintech, Financial ServicesIndustries
Requirements
- 12+ years of software development experience building enterprise or consumer facing products
- Experience with building API based products using python, golang, or similar technologies
- Excellent analytical and problem solving skills, interpersonal skills, and a sense of humor (enjoy the journey)
- Familiarity with RDBMS (e.g. postgres) and ability to write efficient queries with optimal structures
- Familiarity with Docker and AWS technologies
- Familiarity with fintech or financial services
- Familiarity with scrum / agile development environment
- Located in Gurugram, India
Responsibilities
- Owner of one or more large sections of our codebase
- Consistently delivers large systems involving one or more teams' contribution on time at a high level of quality
- Shapes broad architecture; ships multiple large services, complex libraries or major pieces of infrastructure
- Lead the technical direction provide guidance and set the technical direction for our team, ensuring alignment with project goals and industry best practices
- Consistently able to reduce the complexity of projects, services, and processes in order to increase efficiency of teams
- Code, test, debug, document, and maintain software applications using established coding standards and methodologies
- Partner with product management to drive agile delivery of both existing and new products based on project requirements
- Ensure new software meets quality standards by writing unit and end-to-end automated tests
- Work with product, data, and other stakeholders to analyze usage and product metrics to inform key strategic decisions
- Troubleshoot, debug, and resolve product issues as they arise
- Work cross functionally to resolve complex customer problems
- Ensure platform and services meet SLA requirements; on call rotation for production issues, along with the rest of engineering
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the work location for this position?
This is an in-office position based in Gurugram, India.
What technologies are used in this role?
The technology stack includes Golang, Python, Opensearch, PostgreSQL (RDS), Docker, and AWS technologies.
What experience is required for this Staff Software Engineer role?
Candidates need 12+ years of software development experience building enterprise or consumer facing products, along with experience building API-based products using Python or Golang.
What is the salary or compensation for this position?
This information is not specified in the job description.
What makes a strong candidate for this role?
A strong candidate has 12+ years of experience, outstanding programming skills in Golang or Python, ability to own large codebase sections, shape architecture, lead technical direction, and deliver high-quality systems on time.
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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