Top Tech Jobs & Startup Jobs

Develop and maintain full-stack mobile applications using React Native and TypeScript. Responsibilities include implementing native Android and iOS functionality, integrating Google Maps and payment gateways, writing Jest unit tests, using Figma and Jira, creating user stories, and working within Agile Scrum methodology, potentially including Scrum Master responsibilities.

Designs and executes performance, load, stress, endurance, capacity, and scalability tests for web, mobile, API, and cloud applications. Analyzes bottlenecks, monitors infrastructure and application performance, develops automated testing frameworks, integrates tests into CI/CD pipelines, supports performance tuning, and collaborates with engineering, QA, DevOps, infrastructure, and business teams.

Designs and delivers enterprise data and business intelligence solutions using Azure, SQL, Microsoft Fabric, and Power BI. Develops executive dashboards, semantic models, DAX calculations, paginated reports, and operational or regulatory reporting. Ensures performance, governance, security, visualization quality, and automation. Engages stakeholders to gather requirements, translate business needs into scalable data solutions, and present insights and recommendations to executives.

Manage and support storage infrastructure, data protection systems, backups, and recovery operations. Install and upgrade storage systems, firmware, and software; troubleshoot technical issues; manage backup tapes; monitor capacity; document activities; and support IT policies, security requirements, compliance, and service quality.

Develop and analyze enterprise data systems and data warehouse solutions in a banking environment. Responsibilities include expert SQL and PL/SQL development, data and SQL script analysis, Unix shell scripting, testing, scheduling with Control-M, CI/CD using Git and Jenkins, and deployment or management of data platforms. The role requires experience with Spark, Hadoop, Kafka, cloud technologies, AWS, programming in Python, Scala, or Java, and infrastructure-as-code and containerization tools.

Supports the Collections Migration Program through end-to-end business process analysis, documentation, and validation. The role ensures business requirements align with target-state platforms, performs process mapping, and applies SQL technical knowledge to support analysis and validation.

Provides L3 escalation support for production DNS infrastructure. Diagnoses critical outages, performance degradation, security issues, and protocol-level problems across authoritative and recursive DNS systems. Performs deep BIND troubleshooting, analyzes DNS resolution behavior, leads root cause analysis for major incidents, and collaborates with L1/L2 support, NOC, and network teams to restore services quickly.

Tech Business Analyst responsible for gathering and documenting requirements, conducting gap and impact analyses, managing stakeholders, and supporting end-to-end release and change activities. The role requires financial products and credit and market risk domain knowledge, strong SQL skills for complex data analysis and validation, and experience assessing upstream and downstream data flows across systems.

Acts as a first-line technology risk advisor to technology teams, interpreting policies, standards, and frameworks. Prepares risk reports and assessment papers, recommends approaches to senior management, participates in technology risk forums, supports contract risk management, and administers risk events and control testing in the risk management application. Requires strong communication, collaboration, and technology or cybersecurity risk experience.

Develop and maintain cloud platform regression automation on GCP using Python and SQL. Automate large-scale transactional reconciliation, validate data quality and near-real-time data availability, and test across multiple data layers. Work with GCP services, data warehouses, ETL processes, transformations, and CI/CD deployments. Preferred experience includes Neo4j, Cypher, and high-volume transactional data validation.