Jobs at Technoidentity

Build, deploy, and maintain AI/ML and generative AI solutions and platforms. Create CI/CD pipelines, containerized workloads (Docker/Kubernetes), and IaC (Terraform). Support cloud deployments (AWS/Azure/GCP), observability (Prometheus/Grafana), and MLOps practices while collaborating with engineering teams for reliability, performance, and security.

Lead a pod of data engineers to design, build, and maintain scalable finance and non-finance data pipelines. Own roadmap, backlog, sprint planning, and delivery milestones; ensure pipeline reliability, data quality, and architecture alignment (including migration to Data Morph). Partner with finance stakeholders, triage failures, and drive AI-driven POCs for data quality and pipeline automation.

Lead end-to-end delivery for multiple Data & AI projects, ensuring on-time, within-budget releases. Drive planning, risk mitigation, quality metrics, customer governance (WSR/MBR/QBR), delivery standards, and build a high-performing team of 15–18 engineers through mentoring, upskilling, and performance management. Participate in technical discussions and translate between business and engineering.

Lead Oracle-to-PostgreSQL/AlloyDB migrations, re-engineer PL/SQL to PL/pgSQL, design PostgreSQL architecture (partitioning, indexing), perform deep performance tuning (vacuum, WAL, planner), validate data integrity, and collaborate with DevOps to document and deploy enterprise-grade PostgreSQL systems.

Build end-to-end internal applications and tools: Python backends, React front-ends, APIs, enterprise integrations, and Temporal-based durable workflows. Implement AI workflows and agents for Finance and Supply Chain, own production support (monitoring, incident response), and translate ambiguous business requirements into reliable, well-scoped software with minimal direction.

Design, develop, and maintain scalable backend systems. Implement distributed architecture patterns, collaborate with cross-functional teams, mentor junior developers, participate in design and code reviews, and take ownership of project delivery and POCs.

Lead QA efforts across web and API applications: architect Playwright-based automation frameworks, define performance test strategies with JMeter/k6, integrate tests into CI/CD, mentor QA engineers, manage test delivery and stakeholder reporting, and adopt AI-driven testing practices.