
Software Development Intern – Cloud & DevOps, AWS
Posted Aug 6

Posted Aug 6
This is a fully remote position, open to applicants in India.
• Analyze and diagnose the historical query patterns within the matching engine to identify serial calls that could be optimized through parallelization or caching.
• Design and implement solutions on AWS, utilizing services such as Lambda, SQS, Step Functions, ElastiCache, and DynamoDB.
• Develop monitoring and cost visibility mechanisms related to scaling modifications.
• Collaborate with the Director of AI/ML Software Engineering to ensure infrastructure changes are in alignment with the scoring logic of the matching engine.
• Expand infrastructure protocols to encompass Trustbridge components, including RFP/RFQ tools, supplier evaluation platforms, and referral/payment tracking systems.
• Assist in migrating workloads and services to AWS, which includes formulating migration strategies, data transfer, cutovers, and validating post-migration outcomes.
• Document architectural decisions and create run books.
• Execute workstreams according to established SOPs and specifications, employing AI-assisted tools.
• Engage in daily coordination with the Chief of Staff and receive technical direction from the senior engineering lead.
• 0–1 year of relevant work experience as specified in the job details.
• Strong communication skills, including clear speaking, writing, listening, and the ability to discern when to escalate issues.
• Demonstrated reliability and a strong work ethic.
• Eagerness and capability to learn new concepts.
• A positive demeanor.
• Fundamental programming skills in any modern programming language; proficiency in Python or Node.js is advantageous.
• Familiarity with core AWS services such as Lambda, EC2, S3, RDS/DynamoDB, and SQS/SNS, gained through coursework, personal projects, or previous internships.
• Knowledge of cloud migration principles, including lift-and-shift, re-platforming, re-architecting, data migration, and strategies to minimize downtime during cutover.
• Understanding of serial versus parallel execution and caching methodologies.
• Ability to work autonomously based on written specifications and to seek clarification when specifications are unclear.
• Paid stipend.
• Remote work opportunity.
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