Top Tech Jobs & Startup Jobs

Leads full-stack engineering projects and developer teams building cloud-based, distributed microservices and financial technology solutions. Responsibilities include software architecture, technical leadership, mentoring, API and database development, cloud infrastructure, refactoring, performance optimization, Agile delivery, and establishing engineering standards. The role uses modern programming languages, AWS and other cloud platforms, container orchestration, open-source technologies, CI/CD, automated testing, and observability.

Leads Retail Bank’s integrated workforce transformation program, including AI strategy, job-family redesign, workflow transformation, change management, operating rhythms, stakeholder alignment, culture, associate experience, budgets, headcount, and productivity outcomes. Advises senior leaders, resolves organizational challenges, coordinates cross-functional execution, and drives large-scale workforce and technology transformation initiatives.

Leads enterprise AI engineering strategy and multi-team delivery of scalable, responsible AI systems. Oversees foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, observability, and production optimization. Establishes responsible AI standards, makes technology decisions, develops long-term platform roadmaps, partners with research and risk teams, and attracts and mentors engineering talent.

Leads software engineering projects and developers building cloud-based, full-stack solutions using distributed microservices. Designs service boundaries, APIs, reusable frameworks, and database integrations; establishes engineering standards; improves performance and reduces technical debt. The role requires technical leadership across Agile teams, collaboration with product managers and architects, mentoring engineers, and applying modern cloud, DevOps, testing, observability, and AI-assisted development practices.

Build and evolve cloud-based data platform services primarily in Python on AWS ECS Fargate. Own governed AI-agent enforcement, MCP integrations, query-engine feature parity across Snowflake and Databricks, security remediation, dependency hardening, observability, reliability, and cross-region resilience. Collaborate with product managers, lead architectural and technical initiatives, mentor engineers, influence standards, and improve distributed-system performance and platform hygiene.

Lead AI use-case strategy and the end-to-end pipeline from ideation through production for Global Payment Network. Oversee a centralized knowledge base and context engine spanning code, documentation, policies, and controls. Partner with cross-functional teams to gather requirements, validate content, support agentic development, and improve traceability. Define adoption and ROI metrics, guide pilot-to-production delivery, and create scalable AI enablement playbooks while balancing innovation with governance and compliance.

Leads Consumer Experience Management research operations and complex project delivery, including surveys, business requirements, execution plans, risk tracking, stakeholder communications, documentation, and process governance. Partners with technology, business, and vendor teams to remove blockers, simplify technical complexity, and deliver strategic initiatives. Requires strong organization, communication, problem-solving, systems thinking, and execution skills.

Leads technical, analytical, and model projects across cross-functional business and technology teams. Responsibilities include defining scope, managing timelines, risks, stakeholders, project artifacts, sprint ceremonies, KPIs, and OKRs. The role requires coordinating infrastructure migrations or software development lifecycles, translating business goals into technical requirements, and creating structure in ambiguous environments while ensuring audit readiness and effective project delivery.

Design, develop, deploy, and support large-scale AI systems, including foundation model training, LLM inference, agents, vector search, guardrails, evaluation, governance, and observability. Optimize models and infrastructure for cost, latency, throughput, scalability, and hardware utilization. Architect multi-model orchestration pipelines, establish AI cost-performance governance, lead technical design reviews, shape foundational AI roadmaps, and mentor senior AI engineering leaders.

Designs, develops, tests, and supports enterprise integration solutions connecting applications, cloud services, data sources, and platforms. Leads complex integration initiatives, defines standards and reusable frameworks, partners with software, data, infrastructure, and architecture teams, and ensures interoperability, scalability, resilience, observability, and performance. The role also mentors engineers and advances Agile engineering practices.