Top Tech Jobs & Startup Jobs

Develop and improve Java/J2EE applications, including performance tuning and process improvement. Train junior team members, provide technical solutions, and contribute to full-stack development using Java, Spring, Hibernate, Angular, JDBC, SQL, and web technologies. Collaborate with teams, apply Agile and test-driven development practices, and support efficient continuous integration and delivery.

Implement and maintain data governance frameworks, policies, standards, and data quality controls. Manage data ownership, stewardship, metadata, lineage, and issue remediation processes. Partner with business, technology, risk, and compliance stakeholders, facilitate governance forums and training, and support audits, regulatory initiatives, and enterprise data transformation programs for banking clients.

Design and implement enterprise data architectures and cloud data foundations for financial-services transformation projects. Lead data modeling, integration, ETL/ELT, governance, source onboarding, legacy migration, and architecture workstreams using Azure Databricks. Collaborate with business, engineering, governance, and operations teams while documenting solutions, guiding engineers, and transferring capabilities into production operations.

Design and implement enterprise data architectures for regulated financial-services clients. Build Azure Databricks cloud foundations, onboard data sources, develop enterprise models, establish ETL/ELT and governance patterns, guide legacy migrations, lead architecture workstreams, and collaborate with business, engineering, governance, and operations teams. Support AI, analytics, reporting, documentation, and knowledge transfer into operations.

Designs agentic AI architectures and technical roadmaps for financial services clients. Translates business and technical requirements into scalable AI platforms, memory architectures, multi-agent systems, tool workbenches, and implementation requirements. Advises C-suite stakeholders, oversees AgentOps tracing and monitoring, establishes AI governance and security guardrails, and creates reusable architectures and methodologies. Collaborates across business, IT, risk, compliance, and consulting teams.

Design and implement enterprise data architectures for regulated financial-services clients. Build Azure Databricks cloud data foundations, onboard sources, develop enterprise data models, and establish ETL, ELT, API, governance, security, metadata, lineage, and data-quality patterns. Lead architecture decisions, migration workstreams, and project teams while collaborating with business, engineering, governance, and operations stakeholders. Support documentation, knowledge transfer, and transition into operations.

Designs agentic AI architectures and roadmaps for financial-services clients. Translates business and technical requirements into scalable architectures, develops reusable reference patterns, and advises C-suite stakeholders. Oversees AI memory, multi-agent systems, tool workbenches, AgentOps, monitoring, tracing, evaluation, security, and governance. Collaborates with risk and compliance teams to implement guardrails and communicates technical concepts to technical and non-technical audiences.

Designs agentic AI architectures, roadmaps, implementation requirements, memory systems, multi-agent platforms, monitoring and evaluation frameworks. Advises financial-services executives, translates business and technical requirements, establishes AI governance and security guardrails, and creates reusable architecture patterns and methodologies. The role collaborates with business, IT, compliance, and risk teams while overseeing cloud-based AI solution delivery.

Design, implement, monitor, and enhance network security and DLP controls across enterprise networks, endpoints, email, cloud, and web environments. Investigate security events, incidents, vulnerabilities, data leakage, and policy violations; perform root-cause analysis; coordinate remediation; and advise clients on network resilience, data protection, and practical security improvements. Collaborate with infrastructure, cloud, IAM, risk, compliance, privacy, and business teams in complex financial services environments.

Support financial services clients with DORA implementation, ICT risk, operational resilience, and regulatory compliance. Analyze processes, systems, dependencies, and risks; translate regulatory requirements into business requirements, controls, policies, and governance frameworks. Conduct gap and impact assessments, facilitate stakeholder workshops, document risks, support remediation roadmaps, manage workstreams, and prepare client deliverables. Collaborate with business, risk, compliance, security, and technology stakeholders.