[Hiring] Software Development Intern @Vulcury Venture Studio and Advisors

Role Description

This is a remote position.

Trustbridge is Vulcury's AI-enabled manufacturing supplier matching platform. Our development team is strong on core application logic but needs to build deeper strength in cloud infrastructure — specifically in using AWS to scale production workloads and replace serial processing with parallelized, cache-aware execution.

You'll start on our matching engine, where we currently make repeated, serial calls against a large historical project corpus during supplier scoring. Your first project will be re-architecting how those calls are made — batching, parallelizing, and caching intelligently on AWS — so the engine scales without linearly scaling cost or latency. From there, you'll expand into general infrastructure support across Trustbridge's other components (RFP/RFQ tooling, supplier assessment site, referral/payment tracking).

What You'll Work On

• Profile and diagnose the current historical-corpus query pattern in the matching engine to identify where serial calls can be parallelized or cached.
• Design and implement AWS-based solutions (e.g., Lambda concurrency, SQS/Step Functions for parallel fan-out, ElastiCache or DynamoDB caching layers) to reduce redundant repeat calls.
• Build monitoring and cost-visibility into scaling changes so improvements are measurable, not assumed.
• Partner with our Director of AI/ML Software Engineering to align infrastructure changes with the matching engine's scoring logic (corporate fit, capability profile, historical project corpus).
• Extend infrastructure practices to other Trustbridge components as the internship progresses.
• Support migration of existing workloads and services to AWS — assessing what to lift-and-shift vs. re-architect, planning data migration and cutovers, and validating performance and cost post-migration.
• Document architecture decisions and run books so improvements are maintainable beyond the internship.

Qualifications

• Communication — clear speaking, writing, and listening, and a sense of timing for when to raise something.
• Hard work and reliability — you follow through and can be counted on.
• Willingness and ability to learn — genuine intellectual curiosity, not just credentials.
• Positive attitude — you bring people up, not down.
• Solid programming fundamentals (any modern language; Python or Node.js a plus).
• Exposure to AWS core services (Lambda, EC2, S3, RDS/DynamoDB, SQS/SNS, or similar) through coursework, personal projects, or prior internships.
• Working knowledge of cloud migration concepts — lift-and-shift vs. re-platforming vs. re-architecting, data migration approaches, and minimizing downtime during cutover (exposure through coursework or projects is fine).
• Understanding of the difference between serial and parallel execution, and curiosity about caching strategies and when they apply.
• Comfortable working independently against written specs and asking sharp questions when specs are ambiguous.

How We Work

Trustbridge runs lean: a senior AI/ML engineering lead sets technical direction, and interns execute against clearly documented SOPs and specs with AI-assisted tooling in the loop. You'll have a daily touchpoint with our Chief of Staff and direct technical guidance from our senior engineering lead — you won't be thrown in without support, but you will be expected to own your workstream.

Details

• Location: India-based, full-time.
• Compensation: Paid stipend (details discussed during interview).
• Reports to: Director of AI/ML Software Engineering, with daily coordination through the Chief of Staff.

To Apply

Send your resume and a short note on a project where you parallelized, cached, or otherwise optimized something that was previously running serially — tell us what was slow, what you changed, and what got better.