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Staff Software Engineer
SurveyMonkey. Architect, build, and maintain scalable, resilient services across multiple data regions .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in backend application development, particularly in high-scale environments, with a strong focus on AI-assisted development tools and scalable service architecture. Proven ability to lead cross-functional projects and mentor engineers while integrating advanced AI/ML capabilities into billing and payment solutions.
Highest-signal resume keywords
Backend Application DevelopmentAI-Assisted Development ToolsProduction-Grade APIsCloud-Native Architecture on AWSE-Commerce and Payment Gateways
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonMicroservicesRelational DatabasesNon-Relational DatabasesAI/ML IntegrationStreaming FrameworksKafkaSparkTechnical Design and ArchitectureAutomated Testing
Soft Skills
Outstanding CommunicationMentoring
Tools & Technologies
GitHub CopilotCursorLangChainPyTorchTensorFlow
Industry Keywords
Billing SystemsPayment GatewaysSubscription Billing EnginesEnterprise Financial Platforms
Tech Stack
Tools & technologiesAWSCloudKafkaMicroservicesPythonPyTorchSDLCSparkTensorflow
About the role
Key responsibilities & impact- Architect, build, and maintain scalable, resilient services across multiple data regions
- Design and implement AI/ML-assisted features within billing flows, including smart retry logic, dynamic pricing models, and churn prevention
- Integrate AI-assisted development tools, code generation workflows, and automated testing into the team's SDLC
- Own a suite of services supporting Billing and Payment solutions
- Author, review, and approve technical designs and architecture blueprints
- Write readable, extensible backend code in Python using AI developer tools for prototyping, refactoring, and documentation
- Build observable systems combining operational metrics with predictive telemetry for proactive monitoring
- Mentor engineers on effective AI tooling use and best practices for code quality, safety, and security
Requirements
What you’ll need- 12+ years of backend application development experience, primarily in high-scale environments
- Hands-on proficiency with AI-assisted development tools, including GitHub Copilot, Cursor, AI agents, and automated test generators
- Deep expertise designing, building, and maintaining production-grade APIs and microservices using Python
- Experience with relational and non-relational databases
- Experience integrating AI/ML capabilities or APIs into backend systems
- Strong background in e-commerce, global payment gateways, and subscription billing engines
- Proven track record leading cross-functional projects
- Experience with cloud-native architecture on AWS
- Experience with streaming frameworks such as Kafka and Spark
- Outstanding communication skills and passion for mentoring engineers
- Experience establishing AI-driven developer workflows or custom internal AI tooling (bonus)
- Experience with modern AI frameworks such as LangChain, PyTorch, or TensorFlow, or LLM API integrations (bonus)
- Background in billing system integrations, payment gateways, and enterprise financial platforms (bonus)
- Required to work from the Bengaluru office up to 3 days per week
Benefits
Comp & perks- Flexible, hybrid work environment
- CHOICE Fund programs to help employees thrive in work and life
- In-person collaboration and thoughtfully designed offices
- Equal opportunity workplace
- Accommodations available for applicants with disabilities