Senior Software Engineer

Position Overview

• Location Type: Not Specified
• Job Type: Full-time
• Salary: Not Specified

SailPoint is seeking a Backend Software Engineer to join their Developer Experience team. This role focuses on building Python SDKs and Frameworks for their big data platform. The ideal candidate is a passionate, experienced backend engineer focused on delivering reliable, scalable code and infrastructure for SaaS products. This is a unique opportunity to build a critical component from the ground up with a significant internal client base.

Responsibilities

• Design and deliver efficient, performant, and maintainable Python-based SDKs and Frameworks.
• Produce designs, rough estimates, and implement features based on requirements.
• Collaborate with peers on designs, code reviews, and testing.
• Participate in team grooming and planning activities.
• Influence priorities for technical items in collaboration with the team lead and manager.
• Produce unit and end-to-end tests to improve code quality and maximize code coverage.
• Ensure code quality through unit, integration, and development testing.
• Contribute to the training and onboarding of new resources.
• Give product demos to customers and internal stakeholders.
• Contribute to resolving customer queries and escalations.
• Create new environments as required.

Requirements

• Minimum 5+ years of experience in server-side, backend programming with Python and associated frameworks.
• Good understanding of Web Services (REST), Micro-Services, and SaaS Development.
• Experience designing solutions using cloud-native technologies from AWS.
• Experience using microservices in a multi-tenant SaaS application.
• Experience using RESTful APIs for an API-first application architecture.
• Experience with SQL/NoSQL, EKS, Kafka, Redis.
• Experience with logging, monitoring, alerting, and visualization tools like Kibana, Prometheus, Grafana.
• Experience working with remote teams (US time zones).
• Strong analytical skills, attention to detail, and excellent troubleshooting/problem-solving skills.
• Team player with strong communication skills, excellent organizational and planning skills, and the ability to work on multiple tasks concurrently.

Good to Have

• Automation experience handling automation frameworks, backend API, and UI automation.
• Knowledge and testing experience with Amazon AWS (S3, Lambda, DynamoDB, CloudWatch, etc.).
• Familiarity with Docker, including deployment, container spin-up, grid, and scaling.
• Experience working with JIRA for Agile Development, Defect Management, and Test Case Management.

Preferred Qualifications

• Experience with AWS.
• Experience with Continuous Delivery.
• Experience working on a Big Data/Machine Learning product.
• Experience instrumenting code for gathering production performance metrics.

What Success Looks Like

• Within the first 30 days: Onboard, understand the product and technology, meet peers and stakeholders, set up the development environment, and deliver first work tasks.
• By 90 days: Proactively implement enhancements and defect fixes, interacting independently with stakeholders and team members. Contribute to project development alongside less experienced engineers.
• By 6 months: Collaborate with Product Management and Engineering Manager to estimate and deliver features.