Top Tech Jobs & Startup Jobs

Ingest, update, cleanse, normalize, validate, and maintain large volumes of structured and semi-structured data. Analyze data quality issues using complex SQL, identify anomalies and patterns, perform fixes, follow governance and security standards, and recommend process improvements. Support analytics and insights through Power BI while ensuring data integrity and accuracy across systems.

Develop and maintain full-stack web applications using Java Spring Boot, React, RESTful APIs, microservices, and relational and NoSQL databases. Build responsive interfaces, write unit and integration tests, troubleshoot defects, optimize performance, and support CI/CD deployments in AWS or Azure. Collaborate with senior engineers, product owners, and QA teams in an Agile environment through code reviews, sprint planning, and daily standups.

Designs, develops, tests, deploys, and maintains Salesforce applications and customizations. Responsibilities include Apex development, Lightning Web Components, Visualforce pages, Salesforce Sales and Service Cloud configuration, workflow automation, REST integrations, code reviews, troubleshooting, and production issue resolution.

Design and maintain scalable Snowflake data platforms, including ingestion, transformation, modeling, optimization, security, data quality, and production operations. Build ETL/ELT pipelines with SQL, Python, Snowpark, and Azure Data Factory. Develop AI-enabled solutions using Snowflake Cortex AI, Cortex Analyst, Cortex Search, semantic models, embeddings, and RAG. Collaborate with stakeholders, implement governance and monitoring, support deployments, document solutions, and mentor junior engineers.

Build backend and platform components for an AI agent layer, including guardrails, policy enforcement, semantic caching, MCP-based tool governance, access controls, and application integrations. Develop scalable APIs and services, integrate across four applications, write comprehensive tests, troubleshoot production and performance issues, and collaborate with architecture and application teams on secure, reliable integrations.

Develop and configure Oracle AML FCCM solutions, including workflows, jurisdictions, case types, scenarios, thresholds, exception actions, and regulatory processes. Analyze source data and map attributes to target models such as Client and FCDM. Support Transaction Monitoring, Client Risk Rating, Enterprise Case Management, CRR, and CTR capabilities while applying AML compliance knowledge and strong SQL and PL/SQL skills.

Senior Full Stack Engineer responsible for building and operating secure, scalable web products and integrations using Next.js, React, TypeScript, C#, .NET, and Azure. The role owns end-to-end features, contributes to architecture, ensures production readiness, and supports regulated workflows. Responsibilities also include integrating AI capabilities such as LLMs, prompt engineering, RAG, and AI coding agents; applying secure development practices; mentoring engineers; and collaborating with product and client-facing teams.

Maintain and support brokerage dashboard and client intelligence applications across data ingestion, transformation, and reporting layers. Responsibilities include optimizing Snowflake SQL, monitoring SnapLogic pipelines, maintaining Power BI and DAX reporting, troubleshooting Salesforce Data Cloud objects and transforms, updating Mule 4 and DataWeave flows, supporting R and Python validation logic, performing incident triage and root-cause analysis, and maintaining documentation and runbooks.

Designs, builds, and maintains moderately complex data systems, pipelines, infrastructure, and data models for analytics and reporting. Develops batch and streaming solutions, improves data architectures, implements automated deployment pipelines, and supports scalable data processing. Collaborates with analytics and cross-functional teams to gather requirements and deliver reliable, governed data products. The role requires at least two years of relevant experience, with cloud, streaming, modeling, programming, Spark, and DevOps skills preferred.

Execute and maintain automated regression tests using UFT, analyze results, troubleshoot failures, document defects, and support defect triage and retesting. Prepare test data, validate automated scenarios, maintain testing artifacts, coordinate with functional and technical teams, and provide testing progress updates. The role requires experience with UFT/QTP, SAP applications, qTest, Jira, regression testing, defect management, and automation troubleshooting.