Senior Software Engineer

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Software Development, Cloud ComputingIndustries

Requirements

Candidates should possess 5+ years of professional experience in Java software development, strong expertise in Java 11, Spring Framework, Hibernate, and RESTful API design, proven experience with microservices architecture and distributed systems, hands-on experience with databases (MySQL, Redis), query optimization, and schema design, strong knowledge of cloud computing (AWS, GCP, Azure, OCI) and containerization (Docker, Kubernetes), and experience with real-time messaging systems (WebSockets, Kafka, RabbitMQ, or similar technologies).

Responsibilities

The Senior Software Engineer will architect, develop, and optimize high-performance, scalable microservices and backend APIs using Java 11, Spring Framework, Hibernate, and MySQL, provide mentorship and guidance to junior and mid-level engineers, identify and resolve performance bottlenecks in distributed, high-traffic environments, design and deploy cloud-native applications using Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure, OCI), work with Machine Learning, LLMs, NLP algorithms, and process engines to improve conversational AI capabilities, enhance real-time messaging and event-driven architectures, design and optimize complex database schemas and queries for MySQL and Redis, implement secure coding practices, authentication mechanisms, and enterprise-grade security protocols, drive CI/CD improvements, DevOps best practices, and automation initiatives, work closely with Product Management, DevOps, QA, and other engineering teams to deliver high-quality features within Agile workflows, and contribute to long-term architecture and technical strategy.

Skills

Java 11

Spring Framework

Hibernate

MySQL

Distributed Systems

Microservices

Cloud Computing

AWS

GCP

Azure

OCI

Docker

Kubernetes

Redis

Machine Learning

LLMs

NLP

Conversational AI

Backend APIs

Scalability

Security

Real-time AI Processing

Architectural Design

Mentorship

SoundHound AI

Voice AI platform for conversational experiences

About SoundHound AI

SoundHound provides conversational intelligence solutions through its independent voice AI platform. This platform uses unique technologies called Speech-to-Meaning® and Deep Meaning Understanding® to facilitate fast and accurate voice interactions, allowing users to engage with products and services in a natural way. The company works with a wide range of clients, including well-known brands like Hyundai, Mercedes-Benz, and Netflix, by licensing its voice AI technology. This approach generates revenue through long-term contracts and usage-based fees. SoundHound stands out from competitors by focusing on delivering high-quality conversational experiences across various industries, including automotive and consumer electronics, where advanced voice AI capabilities are increasingly important.

Santa Clara, CaliforniaHeadquarters

2005Year Founded

$317.1MTotal Funding

IPOCompany Stage

Automotive & Transportation, AI & Machine LearningIndustries

201-500Employees

Benefits

Health Insurance

Paid Vacation

Paid Sick Leave

Hybrid Work Options

Company Equity

Performance Bonus

Risks

Competition from tech giants like Google and Amazon threatens SoundHound's market share.

Rapid AI advancements could render SoundHound's technologies obsolete without innovation.

Economic downturns may reduce business spending on AI technologies, affecting revenue.

Differentiation

SoundHound's Speech-to-Meaning technology ensures high-speed, accurate voice interactions.

Partnerships with brands like Hyundai and Mercedes-Benz enhance SoundHound's market credibility.

SoundHound's open developer platform allows for customizable AI voice solutions.

Upsides

Growing demand for voice AI in automotive boosts SoundHound's market potential.

Expansion into quick-service restaurants highlights new revenue streams for SoundHound.

Recognition in healthcare AI suggests opportunities in the healthcare sector.

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