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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and developing scalable distributed systems and cloud-based API services, with a strong proficiency in Python and SQL. Capable of ensuring operational readiness and high availability while mentoring team members throughout the software development lifecycle.
Highest-signal resume keywords
Distributed Systems DevelopmentCloud-Based API ServicesPython ProficiencySQL and Database ManagementWorkflow Orchestration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Distributed SystemsCloud-Based API ServicesPythonSQLPostgreSQLDynamoDBAmazon RDSMachine Learning FrameworksRayData Processing
Soft Skills
CollaborationMentoring
Industry Keywords
Enterprise Cloud Data PlatformsData Warehouse ArchitectureData Lake ArchitectureScalable SystemsFault Tolerance
Tech Stack
Tools & technologiesCloudDistributed SystemsDynamoDBPostgresPythonRaySDLCSQL
About the role
Key responsibilities & impact- Design and develop product features aligned with the product and engineering roadmap
- Build platform capabilities enabling AI agentic workflows, including tool-calling APIs, workflow orchestration, observability, and production guardrails
- Scale APIs and workflows using principles of scalable and robust distributed systems
- Design for fault tolerance, high availability, performance, and scalability
- Ensure platform services are operationally ready and meet customer service-level commitments
- Collaborate with teammates and contribute to code reviews and knowledge sharing
Requirements
What you’ll need- 3+ years of industry experience building distributed systems, cloud-based API services, or enterprise cloud data platforms
- Strong computer science fundamentals and proficiency in Python
- Experience developing reliable, enterprise-grade software or services
- Experience with SQL and databases such as PostgreSQL, DynamoDB, or Amazon RDS
- Preferred experience with distributed computing frameworks for machine learning workloads; familiarity with Ray is a plus
- Ability to collaborate in a team and mentor engineers through the SDLC
- Familiarity with data warehouse or data lake architecture and large-scale data processing
- Visa sponsorship is not offered for this role
Benefits
Comp & perks- Restricted Stock Units (RSUs) and merit-based refresh grants for full-time employees
- 24 weeks of fully paid parental leave for primary carers
- 12 weeks of fully paid parental leave for supporting carers
- Unlimited PTO in applicable regions
- Generous PTO globally
- Flexible hybrid work model
- 70-20-10 learning framework
- Mentorship programs
- Access to a dedicated learning platform
- Subsidized Wellhub memberships
- Mental health counseling
- Wellness Weeks
- Paid time off for annual Impact Days volunteering
- Inclusion Think Tank and annual Inclusion Days
- Health, dental, life, 401k, and paid time off included in total compensation package
