Backend Engineer

United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Planning, Decision-Making ToolsIndustries

Requirements

Candidates should possess a Bachelor's degree in Computer Science or a related field, and have at least 3 years of experience in backend application development, with a strong understanding of algorithms, data structures, and system design. They should be familiar with technologies such as Java, Spring, Hibernate, Redis, Elasticsearch, PostgreSQL, BigQuery, and AWS, and demonstrate the ability to evaluate operational feasibility and take accountability for the quality and maintainability of developed components.

Responsibilities

The Backend Engineer will work on challenging problems related to backend application development, algorithms, and system design, focusing on serving in production and designing abstractions that minimize custom code. They will contribute to existing documentation, review code developed by others, and help shape company culture and engineering practices while seeking opportunities for innovation and collaborating with multiple teams to address complex problems.

Skills

Java

Spring

Hibernate

Redis

Elasticsearch

PostgreSQL

BigQuery

AWS

Algorithms

Data Structures

Problem Solving

Software Design

Code Review

Documentation

Innovation

Drivetrain

Data integration and analytics platform for businesses

About Drivetrain

Drivetrain.ai provides a platform that helps businesses improve their operations by integrating data from various departments such as sales, marketing, HR, and customer success. The platform allows users to access real-time data, which enhances their ability to make informed decisions and manage monthly reports more effectively. Unlike many competitors, Drivetrain.ai is recognized for its user-friendly interface, making it easier for teams to collaborate and analyze data. Additionally, the platform includes a financial model template that assists businesses in creating financial forecasts by inputting their actual data. The company's goal is to empower organizations to leverage data for better decision-making and operational efficiency, and it generates revenue through subscription fees for its services.

Bengaluru, IndiaHeadquarters

2021Year Founded

$14.6MTotal Funding

SERIES_ACompany Stage

Data & Analytics, Enterprise SoftwareIndustries

51-200Employees

Benefits

Remote Work Options

Flexible Work Hours

Risks

Competition from established providers like Anaplan may challenge Drivetrain's market position.

Lack of transparent pricing could lead to customer dissatisfaction and potential churn.

Rapid AI advancements may require Drivetrain to invest heavily in R&D to remain competitive.

Differentiation

Drivetrain integrates with over 200 business tools, enhancing data accessibility and collaboration.

The platform uses simple English formulas for financial modeling, simplifying complex data analysis.

Drivetrain offers real-time budget tracking and what-if scenario modeling for proactive decision-making.

Upsides

Growing demand for real-time data analytics boosts Drivetrain's market relevance and adoption.

AI-driven insights in financial planning enhance Drivetrain's predictive accuracy and scenario modeling.

Subscription-based model aligns with industry trends, providing predictable revenue streams for Drivetrain.

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