Top Tech Jobs & Startup Jobs

Leads strategy, architecture, and delivery for a Databricks-based data lake and consumption platform on AWS. Directs global engineering teams building pipelines, APIs, reporting products, and self-service analytics. Owns governance, access controls, lineage, production readiness, resilience, audit readiness, service-level objectives, and stakeholder adoption. Establishes enterprise standards for AI-assisted and agentic engineering workflows, automated testing, release governance, responsible AI, and secure SDLC automation.

Develops secure, scalable Java applications for JPMorganChase’s payment platform. Responsibilities include software design, coding, debugging, troubleshooting, testing, SDLC automation, data analysis, and collaboration within an agile team. The role requires Java, Spring Boot, REST APIs, design patterns, JUnit, Git, TDD, CI/CD, and application resiliency experience, with preferred knowledge of Kafka, containers, orchestration platforms, AI tools, and relational or NoSQL databases.

Develops and supports a full-stack agentic data quality platform within an agile engineering team. Responsibilities include secure software development, frontend and backend engineering, data platform development, AI agent and MCP server creation, platform automation, troubleshooting, testing, observability, and controlled releases. The role uses React or Angular, TypeScript, Python, Java or Kotlin, cloud and data technologies, and LLM capabilities to deliver autonomous, scalable solutions for Asset & Wealth Management.

Leads Sapphire’s media and brand strategy across awareness, consideration, and acquisition. Responsibilities include media investment, integrated campaigns, brand and culture marketing, social and creator strategy, search and performance marketing, measurement, attribution, budgeting, optimization, and team leadership. The role partners with senior stakeholders and cross-functional teams to strengthen brand equity, improve marketing effectiveness, and deliver measurable business growth.

Leads technology risk and controls strategy, transforming reactive remediation into proactive, product-based governance. Designs reusable controls, controls-as-code, policy-as-code, automated guardrails, continuous monitoring, and AI governance frameworks. Establishes traceability, audit readiness, issue management, reporting, roadmaps, and measurable control performance. Partners with technology, cybersecurity, audit, legal, regulatory, and business stakeholders while leading complex transformation initiatives and large-scale strategic programs.

Lead data architecture across more than 100 applications, establishing architecture principles, database standards, data modeling practices, governance frameworks, and data exchange patterns. The role drives migration to strategic cloud data lakes, reduces duplicate data platforms, defines target-state architectures, serves as a subject matter expert, and mentors junior architects. It requires extensive experience with cloud databases, data lakes, data governance, data quality, analytics, machine learning, and distributed enterprise technology environments.

Provides 24x7 production support for IBM mainframe and infrastructure environments. Responsibilities include monitoring systems, troubleshooting incidents, administering mainframe components and HMC, supporting firmware upgrades, managing incidents and changes, participating in bridge calls and post-mortems, and improving operational resiliency through automation and validated AI-assisted workflows.

Partners with Financial Advisors to construct portfolios, select securities, implement investment solutions, and conduct high-net-worth client reviews. Supports wealth planning, lending, mortgage, banking, and digital offerings; identifies new business opportunities; develops marketing strategies and presentations; stays current on products, research, technology, and regulations; and handles client service requests.

Deliver business intelligence and performance insights for institutional sales teams. Build sales enablement tools, AI-enabled workflows, KPI frameworks, and scalable data models. Analyze complex datasets, prototype statistical or machine learning models, ensure data governance, and translate findings into recommendations for senior stakeholders while partnering with technology and cross-functional teams.

Lead strategic compliance analytics by solving complex workflow problems, defining data quality and validation controls, building automation, and developing scalable Databricks and Spark data pipelines. Support control monitoring, operational reporting, auditability, and investigation workflows. Collaborate with global stakeholders, communicate technical recommendations to leadership, and drive continuous process improvement across Compliance, Conduct, and Operational Risk.