Jobs at 73 Strings

Contribute to building, testing, and deploying AI agents, RAG pipelines, and data infrastructure. Design and maintain data pipelines, optimize embeddings/vector search, and deliver a documented strategic AI project by internship end.

Provide first-line end-user support for Windows and macOS, manage device lifecycle and inventory, onboard/offboard accounts and devices, maintain MDM and endpoint security baselines, triage EDR/anti-malware alerts and hand off to SOC, manage Bangalore office networking, create scripts, runbooks, and documentation.

Lead enterprise data architecture and integration for a financial-services data platform. Design cloud data warehouse/lakehouse solutions, data models, APIs, and ETL/ELT pipelines. Drive data governance, security, and compliance; implement streaming, vector DBs, and unstructured-data ingestion. Act as technical advisor for clients, support pre-sales, and lead cross-functional delivery and observability for production data systems.

Lead data architecture and platform strategy, design cloud data warehouse and lakehouse solutions, build scalable integrations and APIs, implement data quality, governance, and streaming pipelines, advise clients on technical architecture, and support pre-sales and implementation for financial services data use cases.

Lead delivery of the foundational data platform and core data products: translate strategy into shipped pipelines and products with SLAs and named consumers, establish product practices (intake, prioritization, contracts, metrics), manage roadmap, write high-quality requirements, collaborate with engineering and stakeholders, and provide training and support during rollouts.

Own delivery of the foundational data platform and core data products: translate strategy into shipped product, define operating model and product practices, ship pipelines and data products with SLAs and adoption metrics, manage roadmap and prioritization, produce high-quality requirements, gather qualitative and quantitative consumer insights, coordinate delivery across business units, and provide training and end-user support.

Architect and build a greenfield backend microservice module using Java and Spring Boot. Design RESTful APIs, data models, and persistence with Hibernate and MySQL/Snowflake. Ensure production-grade security (Azure AD, WAF), containerize with Docker/Kubernetes on Azure, lead code reviews, mentor engineers, and manage delivery of product milestones.

Lead enterprise data architecture and cloud data platform strategy (Snowflake, Databricks). Design integrations, APIs, ETL/ELT and streaming pipelines (Kafka, Flink, Spark). Establish data modeling, governance, quality, observability, and embedding/vector DB infrastructure; support implementations, client engagements, and LLM/RAG-informed retrieval and lineage requirements.

Lead enterprise data architecture, design cloud data warehouse/lakehouse solutions (Snowflake, Databricks), define modeling and governance, build integrations and APIs, support implementations, ensure data quality, and advise on LLM/RAG and vector embedding infrastructure for financial services.

Lead enterprise data architecture, design cloud data warehouse/lakehouse solutions (Snowflake, Databricks), define data modeling and governance, build integrations/APIs and ETL/ELT pipelines, implement streaming and orchestration (Kafka, Flink, Spark, dbt, Airflow), support implementations and client engagements, and ensure data quality, security, and regulatory compliance.

Lead enterprise data architecture and platform strategy for a financial services data platform. Design and implement cloud data warehousing and lakehouse solutions (Snowflake, Databricks), data models, governance, and security. Architect integrations/APIs (REST, GraphQL), ETL/ELT pipelines, streaming systems (Kafka, Flink, Spark), orchestration (dbt, Airflow), vector DBs/embeddings and LLM/RAG-safe retrieval. Provide implementation and pre-sales technical leadership for client onboarding and regulatory compliance.