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We’re seeking a Senior Software Engineer with deep experience building event-driven, distributed, and scalable systems in Python. In this role, you’ll design and optimize large-scale data and service pipelines running on AWS, supporting Scribd’s content enrichment and metadata systems. You’ll work closely with cross-functional teams to design reliable backend services that integrate machine learning models and LLM-based components when needed. This role offers the opportunity to work on cutting-edge generative AI and metadata enrichment problems at a truly global scale.
Job Responsibility:
Provide technical leadership, mentorship, and guidance to engineers across the organization, driving secure coding best practices
Lead the design, implementation, and scaling of event-driven, distributed systems to extract, enrich, and process metadata from large-scale document and media datasets
Partner with Data Science, Infrastructure, ML Engineering, and Product teams to architect and deliver robust systems that balance scalability, high performance, and rapid iteration
Contribute to the team’s engineering strategy, identifying gaps, proposing new initiatives, and improving existing frameworks
Build and maintain scalable APIs and backend services for high-throughput content processing
Leverage AWS services (ECS, Lambda, SQS, ElastiCache, CloudWatch) to design and deploy resilient, high-performance systems
Optimize and refactor existing backend systems for scalability, reliability, and performance
Ensure system health and data integrity through monitoring, observability, and automated testing
Requirements:
7+ years of professional software engineering experience with a focus on backend or distributed systems development
Strong proficiency in Python (5+ years)
Expertise in designing and architecting large-scale event-driven and distributed systems
Experience with infrastructure-as-code tools like Terraform
Solid understanding of system performance, profiling, and optimization
Experience leading technical projects and mentoring engineers
Bachelor’s degree in Computer Science or equivalent professional experience
Nice to have:
Experience with Scala
Familiarity with data processing frameworks (Spark, Databricks) and workflow orchestration tools
Experience integrating ML or LLM-based models into production systems
What we offer:
Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees
12 weeks paid parental leave
Short-term/long-term disability plans
401k/RSP matching
Onboarding stipend for home office peripherals + accessories
Learning & Development allowance
Learning & Development programs
Quarterly stipend for Wellness, WiFi, etc.
Mental Health support & resources
Free subscription to the Scribd Inc. suite of products
Referral Bonuses
Book Benefit
Sabbaticals
Company-wide events
Team engagement budgets
Vacation & Personal Days
Paid Holidays (+ winter break)
Flexible Sick Time
Volunteer Day
Company-wide Employee Resource Groups and programs that foster an inclusive and diverse workplace
Access to AI Tools: We provide free access to best-in-class AI tools, empowering you to boost productivity, streamline workflows, and accelerate bold innovation