Senior Software Engineer, India

Hypersonix Inc.

Senior Software Engineer designing scalable backend services for AI-driven platform. Collaborating across teams to build high-performance technology solutions with Python.

Posted 6/30/2026full-timeRemote • 🇮🇳 IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and developing scalable backend services and microservices using Python, with a strong focus on RESTful API development, system architecture, and integration of AI/ML capabilities. Proficient in implementing security best practices and mentoring junior engineers while contributing to a collaborative engineering culture.

Highest-signal resume keywords

Python ProficiencyRESTful API DevelopmentMicroservices ArchitectureCI/CD PipelinesDatabase Integration

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Python (3.11+)FastAPIFlaskRESTful APIsMicroservicesAutomated Testing (pytest)Version Control (Git)Relational Databases (PostgreSQL/MySQL)NoSQL DatabasesCaching (Redis)

Soft Skills

Problem-SolvingAnalytical SkillsCommunicationCollaboration

Tools & Technologies

GitHub ActionsGitLab CISnowflakeStructured LoggingMetricsTracing

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceMaster’s Degree in Engineering

Industry Keywords

Distributed SystemsScalable Application ArchitectureSecurity Best PracticesObservabilityEngineering Standards

Tech Stack

Tools & technologies

CloudDistributed SystemsFlaskMicroservicesMySQLNoSQLPostgresPythonRedis

About the role

Key responsibilities & impact

Design, develop, and operate scalable backend services and microservices using modern Python (3.11+).
Build high-performance, well-documented RESTful and/or async APIs (FastAPI / Flask), with attention to latency, throughput, and reliability.
Write clean, typed, reusable, and testable code, backed by automated tests (pytest) and meaningful coverage.
Design systems for high availability, horizontal scalability, and low latency; reason about failure modes, backpressure, and graceful degradation.
Integrate and serve AI/ML capabilities — model/LLM API integration, retrieval pipelines (RAG), vector search, and inference endpoints — in collaboration with Data Science.
Integrate relational, NoSQL, caching, and vector databases, plus cloud data warehouses (Snowflake) and cloud-based storage.
Instrument services for observability (structured logging, metrics, tracing) and own production troubleshooting and performance optimization.
Implement security best practices: authentication, authorization, secrets management, and data protection.
Participate in architecture discussions, design reviews, and code reviews; help define and uphold engineering standards.
Mentor junior engineers and contribute to a strong engineering culture.
Work with DevOps / Platform teams on CI/CD pipelines, infrastructure-as-code, and deployment automation.

Requirements

What you’ll need

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
5–7 years of professional software development experience.
Strong proficiency in Python, including type hints and at least one modern web/API framework (FastAPI and/or Flask).
Solid experience designing and building RESTful APIs, web services, and microservices.
Strong grasp of object-oriented and/or functional design, data structures, and software design principles.
Hands-on experience with version control (Git) and CI/CD pipelines (e.g., GitHub Actions, GitLab CI, or similar).
Experience with both relational (e.g., PostgreSQL/MySQL) and NoSQL databases, plus caching (e.g., Redis).
Good understanding of distributed systems, concurrency, and scalable application architecture.
Strong debugging, problem-solving, and analytical skills.
Excellent communication and collaboration abilities; comfortable working in a remote, distributed team.

Benefits

Comp & perks

Health insurance
Retirement plans
Professional development opportunities