Senior Software Engineer

Resilinc

. Own the end-to-end delivery of backend features, platform modules, and engineering initiatives from design through production .

Posted 11/11/2026full-timeRemote • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in backend engineering and data engineering, with a strong focus on building scalable Python web services, REST APIs, and distributed data processing pipelines. Proven ability to collaborate effectively with cross-functional teams and deliver high-quality technical solutions.

Highest-signal resume keywords

Python ProgrammingDistributed Data Processing with PySparkREST API Development with FastAPI, Flask, or QuartSQL Query OptimizationCloud Platform Experience (Azure or AWS)

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

Backend EngineeringData EngineeringETL/ELT Pipeline DevelopmentDistributed Systems DesignPerformance TuningDebuggingTechnical DesignData Ingestion FrameworksRelational Database DesignCode Review

Soft Skills

CollaborationCommunicationOwnership MindsetMentoringProblem-Solving

Tools & Technologies

GitCI/CDDatabricksSnowflakeLakehouse TechnologiesDelta LakeAI-Assisted Development ToolsGitHub CopilotCursorChatGPT

Industry Keywords

B2B SaaSSupply ChainComplianceRisk ManagementData-Intensive Products

Tech Stack

Tools & technologies

AirflowApacheAWSAzureCloudDistributed SystemsETLFlaskJavaKafkaKubernetesPySparkPythonRedisSnowflakeSQL

About the role

Key responsibilities & impact

Own the end-to-end delivery of backend features, platform modules, and engineering initiatives from design through production
Design, develop, and maintain scalable backend services, distributed data pipelines, and ingestion frameworks processing data from enterprise sources
Build and maintain production-grade Python web services and REST APIs using FastAPI, Flask, and Quart
Design and optimize distributed data processing pipelines using PySpark and SQL
Build and enhance scalable data ingestion frameworks for structured and semi-structured data from APIs, databases, cloud storage, and multiple file formats
Improve platform scalability, reliability, observability, performance, and maintainability
Collaborate with Product Managers and Architects to translate business requirements into technical solutions
Break down engineering initiatives into deliverable work items and drive execution
Perform code reviews, mentor junior engineers, and promote engineering best practices
Troubleshoot complex production issues and lead root cause analysis
Adopt modern tools, AI-assisted development practices, and continuous improvement initiatives

Requirements

What you’ll need

4–6 years of experience in backend engineering or data engineering
Strong programming skills in Python
Hands-on experience building distributed data processing pipelines using PySpark
Strong SQL skills, including complex query development, query optimization, and relational database design
Strong experience developing REST APIs and Python web services using FastAPI, Flask, or Quart
Experience building scalable ETL/ELT pipelines and enterprise data ingestion frameworks
Experience with cloud platforms such as Microsoft Azure or AWS
Hands-on experience with Git, CI/CD, and modern software engineering practices
Strong debugging, performance tuning, and problem-solving skills
Proven experience independently delivering features, modules, or projects from requirements through production
Ability to estimate work, identify technical risks, and drive timely delivery
Strong ownership mindset with excellent collaboration and communication skills
Comfortable leveraging AI-assisted development tools such as GitHub Copilot, Cursor, ChatGPT, and Claude
Experience in a B2B SaaS, supply chain, compliance, or other data-intensive product company is preferred
Exposure to supply chain operations, compliance, or risk management domains
Experience with Databricks, Snowflake, Lakehouse technologies, or Delta Lake is preferred
Experience designing scalable backend architectures and distributed systems
Exposure to Java, Kafka, Redis, Apache Airflow, or Kubernetes
Experience mentoring engineers and contributing to technical design discussions

Benefits

Comp & perks

Fully remote work arrangement
Full-stack benefits for health, wealth and wellbeing
Opportunities to connect in person
Opportunities for technical growth
Ownership and a voice in shaping impactful technology