Top Tech Jobs & Startup Jobs

Lead the design, development, deployment, and operation of secure, scalable software systems using Java and AI-assisted engineering practices. Integrate AI/ML capabilities such as LLMs, RAG, and NLP; improve CI/CD and platform engineering; enhance observability, reliability, and automation; and mentor engineers across a global organization. Partner with leadership on technical vision, roadmaps, vendor integrations, and production-grade cloud-native solutions.

Designs, develops, tests, deploys, and maintains secure enterprise applications for Internal Audit. Builds Java and Python microservices, REST APIs, React interfaces, CI/CD pipelines, and cloud-native services using Docker, ECS, Kubernetes, and AWS. Participates in code reviews, Scrum ceremonies, operational support, monitoring, incident resolution, and root-cause analysis. Applies responsible AI-assisted development practices and may integrate LLM-based capabilities or AI agent workflows.

Leads software engineering and AI/ML solution delivery using Java and Python. Designs, builds, operates, and troubleshoots secure, scalable production systems; advances AI-assisted engineering practices; integrates LLM, RAG, and NLP capabilities; develops CI/CD and cloud-native automation; improves observability, reliability, and incident remediation; partners on technical roadmaps; and mentors engineers and AI practitioners.

Design, build, and maintain Android features using Kotlin and Java; integrate secure backend services; implement automated testing; improve application stability, performance, and accessibility; and enhance CI/CD workflows. The role also involves technical design contributions, secure mobile development, release readiness, modularization, mentoring, and validated use of approved AI coding assistants.

Leads a software engineering team delivering regulatory model applications and cloud modernization initiatives. Designs scalable distributed systems using Python, PySpark, AWS, and Databricks; remains hands-on with implementation, testing, deployment, and operational support. Establishes secure AI-assisted engineering practices, validates AI outputs, promotes automation, and ensures coding, resiliency, and quality standards. Partners with stakeholders, provides technical leadership, and manages enterprise-grade software delivery across multiple priorities.

Monitor and analyze firmwide regulatory capital metrics, investigate variances, assess capital management activities and stress scenarios, escalate breaches, and identify emerging risks. The role drives process improvements using analytics, AI, and automation, while preparing board-level presentations and actionable insights for senior management. Responsibilities include collaborating with capital management, finance, controllers, business lines, and support functions, and maintaining accurate, well-managed risk processes.

Supports the lifecycle of machine-learning personalization and customer-insights products. Responsibilities include roadmap and backlog management, translating research and analytics into requirements, partnering with Data Scientists and ML Engineers, supporting experimentation and KPI tracking, coordinating cross-functional delivery, and promoting privacy, consent, governance, and fairness in AI-enabled customer experiences.

Lead cross-functional operations transformation programs from strategic planning through execution. Responsibilities include developing roadmaps, managing milestones and RAID items, coordinating Business, Operations, and Technology stakeholders, defining OKRs and KPIs, analyzing operational data, building dashboards, managing governance, resolving conflicts, and delivering executive-ready artifacts. The role requires influencing senior stakeholders, driving measurable improvements in quality, cost, efficiency, and cycle time, and potentially assuming people-management responsibilities as the portfolio grows.

Manages pre- and post-trade lifecycle activities for FX, derivatives, money market, and fixed income transactions. Coordinates cash movements, funding, settlement readiness, confirmations, allocations, settlement instructions, reconciliations, and exception resolution. Partners with front office, treasury, middle office, and technology teams to mitigate operational risk and improve workflows. Supports automation, data quality checks, dashboards, and continuous process improvement while ensuring timely, accurate trade processing.

Leads enterprise change management strategy and a portfolio of large-scale transformation initiatives for a product organization. Develops change plans, impact assessments, readiness and adoption strategies, communications, and training plans. Advises executives, manages risks, coordinates cross-functional stakeholders, and supports AI-enabled transformation. The role may lead and develop change practitioners while integrating generative AI tools and reusable playbooks into change management practices.