Software Engineer

Resilinc

Software Engineer developing scalable backend services and distributed data pipelines for B2B SaaS platform. Collaborating with cross-functional teams on engineering challenges and technical growth.

Posted 7/16/2026full-timeRemote • 🇮🇳 IndiaJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in backend engineering and data engineering, with strong skills in Python, REST APIs, and distributed data processing. Proficient in building scalable backend services on cloud platforms, while maintaining high standards for code quality and security.

Highest-signal resume keywords

Python ProgrammingDistributed Data ProcessingREST API DevelopmentCloud Platforms (Microsoft Azure, AWS)SQL Query Optimization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Backend EngineeringData EngineeringPySparkSQLGit

Soft Skills

Problem-SolvingOwnershipGrowth MindsetCollaboration

Tools & Technologies

AI-Assisted Development ToolsVersion Control Practices

Industry Keywords

B2B SaaSScalable Product EnvironmentsDistributed SystemsData Processing Solutions

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsPySparkPythonSQL

About the role

Key responsibilities & impact

Work closely with Senior Software Engineers, Tech Leads, Product Managers, and Architects to build, maintain, and enhance backend services and distributed data pipelines that power our multi-tenant B2B SaaS platform.
Contribute to building scalable backend platforms, solve complex engineering challenges, and continuously grow your expertise in distributed systems, data engineering, and cloud technologies.

Requirements

What you’ll need

2–4 years of experience in backend engineering or data engineering, preferably in scalable product environments.
Strong programming skills in Python, with experience developing backend applications, REST APIs, and data processing solutions using modern engineering practices.
Hands-on experience building distributed data processing pipelines using PySpark, along with strong SQL skills, including writing complex queries, query optimization, and working with relational databases.
Experience building backend services and working with cloud platforms such as Microsoft Azure (preferred) or AWS.
Hands-on experience with Git and modern version control practices.
Strong problem-solving and debugging skills, with the ability to take ownership of engineering deliverables and independently drive solutions with minimal guidance.
Growth mindset with a passion for learning, continuous improvement, and thriving in a collaborative product engineering environment.
Effectively leverage AI-assisted development tools while applying sound engineering judgment and maintaining high standards for code quality, correctness, and security.

Benefits

Comp & perks

Full-stack benefits for health, wealth and wellbeing
Opportunities to connect in person