73 Strings

France
Total Offices: 8
334 Total Employees
Year Founded: 2019

Jobs at 73 Strings

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Recently posted jobs

16 Hours AgoSaved
In-Office
New York, NY, USA
Artificial Intelligence • Fintech • Software • Analytics
Client-facing Solutions Architect supporting pre-sales at a SaaS company: lead technical demos, design POC/demo environments, advise on technical solutions, respond to RFPs/RFIs, liaise with Implementation and Customer Success for onboarding, and mentor junior colleagues. Translate complex technical concepts for business and technical stakeholders and integrate emerging technologies to automate workflows.
16 Hours AgoSaved
In-Office
Hyderabad, Telangana, IND
Artificial Intelligence • Fintech • Software • Analytics
Lead a team of Implementation Specialists to manage end-to-end client implementations for private markets clients, ensure deliverable quality, influence product roadmap with client feedback, mentor staff, maintain implementation playbooks, manage client health at portfolio level, and collaborate with Product, Technology, Sales, and external partners on strategic initiatives.
16 Hours AgoSaved
In-Office
Bengaluru, Bengaluru Urban, Karnataka, IND
Artificial Intelligence • Fintech • Software • Analytics
Support monthly management accounts close, prepare and review journals, reconciliations, accruals, prepayments and depreciation. Maintain internal controls, assist with tax compliance (VAT, corporation tax), support audits, train budget holders, and improve finance processes while collaborating with AP and non-finance teams.
16 Hours AgoSaved
In-Office
Bengaluru, Bengaluru Urban, Karnataka, IND
Artificial Intelligence • Fintech • Software • Analytics
Ensure reliability, scalability, and operational excellence of production systems. Lead incident management, define SLOs, troubleshoot production issues, support deployments, maintain observability, document runbooks, and collaborate with engineering and customers to raise reliability.
16 Hours AgoSaved
In-Office
Bengaluru, Bengaluru Urban, Karnataka, IND
Artificial Intelligence • Fintech • Software • Analytics
Lead and grow a team of 4–10 engineers, owning delivery, technical direction, architecture, and people development. Drive execution, reduce technical debt, champion engineering best practices (CI/CD, testing, observability), and integrate AI tooling into workflows while collaborating closely with Product and cross-functional stakeholders.
16 Hours AgoSaved
In-Office
Toronto, ON, CAN
Artificial Intelligence • Fintech • Software • Analytics
Provide expert product support and training for 73 Strings monitoring and valuation tools; troubleshoot and document client issues; manage multi-channel support, escalate to internal teams, and guide clients to success resources while collaborating across regions and working weekends.
16 Hours AgoSaved
Hybrid
Bengaluru, Bengaluru Urban, Karnataka, IND
Artificial Intelligence • Fintech • Software • Analytics
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.
16 Hours AgoSaved
In-Office
Bengaluru, Bengaluru Urban, Karnataka, IND
Artificial Intelligence • Fintech • Software • Analytics
Develop and own end-to-end UI and API automated test suites for a complex web and desktop app. Build test code (TypeScript, Java, C#), use frameworks (Playwright, Selenium, REST Assured), define test strategy, ensure test coverage, run performance tests, customize test frameworks, and collaborate with stakeholders in Agile environments.
16 Hours AgoSaved
In-Office
Toronto, ON, CAN
Artificial Intelligence • Fintech • Software • Analytics
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.