Software Engineer (Enterprise Systems)

Summary : You will be joining a tight-knit team with a new approach to private equity investing. We are a private investment firm working alongside top financial and operating partners to pursue high-impact investments. The role demands a unique blend of research and qualitative data analysis skills, providing an opportunity to acquire diverse skills and experience through exposure to different teams. Our culture values excellence, innovation, collaboration, and the entrepreneurial drive to make things happen. You will be expected to contribute from day one.    Responsibilities   Node.js and Middleware Engineering ● Build, enhance, and maintain REST APIs and server-sent event endpoints using Node.js and Express. Develop and maintain automated tests using Jest and Supertest. ● Integrate application services with Salesforce using JSForce, OAuth 2.0, SOQL, and CRUD operations. ● Work with Firestore for application data, session handling, and vector search use cases. Support containerized deployments to Google Cloud Run.  Salesforce Engineering and Data Operations ● Develop and maintain Apex classes, triggers, batch jobs, and queueable processes. Build Lightning Web Components and work with custom Salesforce objects. ● Execute and support data operations through Salesforce REST API, Tooling API, Bulk API 2.0, and Composite API. ● Write complex SOQL queries, including relationship queries and aggregations. Manage deployments using Salesforce CLI and SFDX project structures. ● Help maintain data quality through validation, deduplication, audit trails, and rollback-safe. Google Apps Script Automation ● Maintain and extend a fleet of Google Apps Script worker agents using the V8 runtime. ● Build spreadsheet-driven and batch-processing automations. ● Work within orchestrated master-worker execution patterns. ● Deploy and maintain Apps Script solutions using clasp. AI and Workflow Integration ● Integrate LLM and AI services such as Gemini and Claude into production workflows. ● Build and support embedding pipelines and vector-search-backed features. ● Contribute to structured, multi-stage AI processing pipelines. ● Ensure AI-enabled systems are reliable, secure, auditable, and production ready.  Cross-System Integration and Operations ● Build and maintain integrations across Salesforce, Google Cloud, and Google Workspace. ● Handle authentication, API reliability, retries, monitoring, and error handling. ● Support CI/CD, Docker-based deployment workflows, and operational stability. ● Apply secure engineering practices including headers, access controls, and API protections. ● Participate in troubleshooting, QA, release processes, and ongoing production support. What Success Looks Like (First 3–6 Months) ● Ship reliable, well-tested code across the Node.js, Salesforce, and Apps Script environments. ● Maintain healthy test coverage and stable deployment practices. ● Support dependable Cloud Run deployments and Apps Script job execution. ● Execute Salesforce data operations safely with appropriate controls and traceability. ● Debug production issues effectively across multiple systems and layers Candidate Profile 5+ years of hands-on JavaScript experience, including server-side Node.js development. Strong experience building REST APIs using Express or a similarNode.js framework. 3+ years of Salesforce development experience, including Apex, LWC, SOQL, and API integrations. Strong SQL skills with experience in relational databases such as PostgreSQL, MySQL, or SQL Server. Experience with automated testing tools such as Jest, Mocha, or Supertest.Proficiency with Git, npm, and modern JavaScript development practices. Experience using JSForce or similar Salesforce API clients. Experience with Google Cloud Platform, especially Cloud Run and Firestore. Hands-on experience with Docker and container-based deployment workflows.Google Apps Script development experience. Familiarity with CI/CD pipelines and OAuth 2.0 implementation. Experience with ETL or bulk data workflows involving CSV and JSON. Experience integrating AI or LLM APIs into production systems. Familiarity with embeddings, vector search, reporting tools, or BI dashboards. Exposure to private equity, financial services, or adjacent domains.Relevant Salesforce certifications demonstrating engineering depth. Ability to work confidently in production systems with real operational impact. Ability to understand, maintain, and improve existing codebases across multiple technologies. Exposure to private equity, financial services, or adjacent domains. Relevant Salesforce certifications demonstrating engineering depth.   About Kingfish  Kingfish is a unique investment and advisory firm that works alongside various reputed private equity firms in North America. We have pioneered a new approach to private equity investing that places us at the intersection of people, ideas, and capital. Deep, systematic relationships with proven operating executives are at the core of our efforts. Our firm comprises two core business segments: our private equity investment business and an advisory business that supports a limited set of high-performing PE sponsors as they identify, invest in, and grow businesses.  Culture Our philosophy is to find the best people and give them the freedom to learn, innovate, and outperform. In that spirit, we are structured to ensure that each individual contributes substantively to firm strategy, and there is extensive feedback on performance. Authority is decentralized, and performance is rewarded based on achievement of goals. Kingfish is a unique place that demands extraordinary tenacity, confidence, intellectual curiosity, and communications skills. We pride ourselves on assembling high-performing teams to pursue inspiring goals. country: IN all locations: [Pune, Maharashtra] commitment: Full-time department: location: Pune, Maharashtra team: Technology