Top Tech Jobs & Startup Jobs

Analyze and transform business data into actionable insights. Responsibilities include data cleaning, validation, dashboard and KPI development, reporting automation with Python and SQL, visualization, data modeling, quality management, and collaboration with cross-functional stakeholders. The role supports operational, workforce, and financial analytics while documenting analytical processes and maintaining reporting standards.

Senior Quality Assurance Engineer responsible for risk-based test strategy, test planning, manual and automated testing, database validation, defect management, QA metrics, and performance testing across web, mobile, and SaaS applications. The role collaborates with engineering and product teams throughout the SDLC, supports Agile delivery, troubleshoots application issues, improves QA processes, and mentors junior QA professionals.

Own product feature definition, requirements gathering, planning, workflows, mockups, documentation, and acceptance criteria. Collaborate closely with developers and leadership to validate ideas, translate business goals into technical requirements, guide implementation, and shape the product roadmap. The role requires SaaS experience, strong technical understanding, clear requirements writing, and comfort working in startup or fast-paced environments.

Analyze complex business problems using SQL and Python or R, investigate data quality issues, perform exploratory and statistical analysis, and develop reliable analytical workflows. Present actionable findings to stakeholders and collaborate with business and engineering teams to improve data quality and collection processes. The role also involves documenting transformation logic, automating data processes, and supporting compliance-related decision-making.

Design, develop, and support enterprise client-facing applications and services using Java, Spring Boot, REST APIs, and microservices. Build scalable software features, maintain APIs, collaborate on architecture, perform testing and code reviews, resolve defects, and support CI/CD pipelines with DevOps teams. Participate in Agile ceremonies and use AI-assisted development tools. Contribute to AI-powered applications, intelligent automation, and Generative AI-enabled products.

Administer and optimize Salesforce through Flow automation, configuration, permissions, data management, troubleshooting, documentation, and user support. Gather stakeholder requirements, build scalable solutions, and collaborate with developers on integrations and enhancements. The role also includes some Apex, API, and Salesforce customization work.

Leads enterprise Microsoft Dynamics 365 Sales consulting, solution design, CRM transformation, and implementation programs. Responsibilities include requirements gathering, stakeholder workshops, roadmap definition, project scope and budget management, deployment oversight, integration, testing, adoption, governance, and escalation management. The role coordinates global delivery teams and advises executive customers on sales and customer engagement transformation using Dynamics 365, Power Platform, Azure, and related Microsoft technologies.

Provides technical leadership for cloud infrastructure, DevOps architecture, automation, deployment, and operations. Designs and optimizes AWS environments, Infrastructure as Code, CI/CD pipelines, containerized platforms, configuration management, monitoring, security, and reliability practices. Collaborates across Development, QA, Operations, Architecture, and Product teams in an Agile environment, troubleshoots complex production issues, supports infrastructure changes, and mentors engineers while advancing automation and continuous improvement.

Develop and maintain Oracle Forms and PL/SQL business applications within legacy enterprise database environments. Translate stakeholder requirements into solutions, troubleshoot defects, analyze existing code, participate in Agile SDLC processes, implement code review feedback, estimate development tasks, test code, and collaborate with technical and non-technical stakeholders.

Administer and optimize multiple Salesforce environments across Sales Cloud and Marketing Cloud. Design data models, automation, security, integrations, reports, and dashboards; translate client requirements into scalable solutions; manage permissions and document configurations. Lead Marketing Cloud segmentation, journeys, campaigns, automations, and performance analysis. Work directly with clients and executives while mentoring junior administrators.