Top Tech Jobs & Startup Jobs

Analyze insurance policy, premium, claims, billing, and financial data; build KPI dashboards and reports; write and optimize SQL; validate and model datasets; identify trends, anomalies, fraud indicators, and leakage; and translate business questions into clear recommendations for underwriting, actuarial, claims, finance, and other stakeholders. The role supports pricing, reserving, portfolio management, retention, and loss-ratio analyses.

Design, develop, and maintain scalable backend applications using Core Java, Spring Boot, microservices, REST APIs, and AWS. Responsibilities include optimizing performance, ensuring security and reliability, writing tested code, participating in design reviews, troubleshooting production issues, contributing to CI/CD and DevOps practices, and collaborating with product, architecture, QA, and other teams.

Lead development of scalable web applications using Angular micro frontends and React.js. Responsibilities include designing micro frontend architecture, building reusable components, integrating Angular and React applications, optimizing performance and accessibility, implementing automated tests, troubleshooting complex issues, conducting code reviews, and collaborating with designers, backend engineers, and product managers.

Lead a team building production-grade Generative AI and Agentic AI solutions for banking and financial services. Design RAG pipelines, multi-agent workflows, cloud-native AWS architectures, evaluation and observability frameworks, and reusable GenAI accelerators. Contribute hands-on Python code, guide architecture and code reviews, troubleshoot production issues, document solutions, and ensure security, scalability, compliance, and alignment with BFSI requirements.

Design, develop, and optimize Java-based data applications and microservices. Define scalable technical solutions, drive architecture decisions, mentor engineering teams, and collaborate cross-functionally to deliver reliable, high-performance systems. Use AI productivity tools to improve development efficiency, code quality, and delivery timelines while enforcing coding and performance best practices.

Leads the design and implementation of Neo4j graph database solutions and scalable applications. Responsibilities include graph data modeling, query optimization, performance tuning, data pipeline integration, architecture, security, scalability, stakeholder collaboration, and mentoring. The role translates business needs into technical solutions and guides technical decisions across teams.

Supports Talent Acquisition and HR Operations by sourcing candidates, scheduling interviews, maintaining records, coordinating with stakeholders, updating HR trackers, assisting onboarding, and handling basic employee coordination tasks.

Drive cloud adoption and workload migration within an AWS federated platform environment. Support application teams with AWS landing zones, cloud services, Terraform Enterprise, CI/CD troubleshooting, and DevOps automation. Guide stakeholders, promote Agile and DevOps practices, provide technical enablement, and support cloud transformation initiatives across technical and business teams.

Lead end-to-end delivery of data-centric technical projects, coordinating engineering teams and business stakeholders. Manage planning, timelines, risks, resources, dependencies, and communications using Agile methodologies. Oversee ETL pipelines, data models, integrations, code reviews, and data engineering practices while translating business requirements into technical plans. Collaborate with Product, Data Science, DevOps, and QA teams, provide Python development or debugging support, and track project metrics and stakeholder reports.

Partners with designers, product managers, and engineers to define measurable research questions and guide product decisions. Designs and executes quantitative UX studies using surveys, behavioral data, log analysis, A/B testing, and multivariate testing. Applies statistical models to assess usability and customer satisfaction, builds dashboards and metrics, and translates complex findings into actionable recommendations. Conducts end-to-end primary research addressing user behavior and attitudes while collaborating cross-functionally.