Top Tech Jobs & Startup Jobs

Owns security for Azure services and supports secure cloud strategy and adoption. The role reduces operational risk, strengthens security posture, implements Azure security controls, supports compliance for regulated data, and applies NIST and CIS standards. Responsibilities include infrastructure-as-code, GitOps, policy-as-code, IaC security scanning, CI/CD automation, secure cloud operations, and scripting with Python and PowerShell.

Leads engineering, delivery, modernization, and evolution of a contact center platform built on Genesys Cloud and AWS. Manages engineering teams, drives platform enhancements, integrations, automation, reliability, and operational readiness. Partners with business, product, architecture, security, infrastructure, and vendors to deliver scalable technical solutions. Develops talent, oversees strategic vendors, and implements AI-powered customer engagement capabilities including virtual agents, conversational bots, agent assist, and Genesys Copilot.

Performs technology-focused internal audits across cloud, AI, IAM, SDLC, vulnerability management, and infrastructure domains. Evaluates control design and operating effectiveness, develops audit documentation, conducts risk-based testing and data analysis, identifies findings, recommends remediation, and validates corrective actions. Partners with global stakeholders and presents audit results, emerging risks, and control enhancements to senior management and governance committees while managing multiple audits.

Develop and maintain reusable finance data products, reporting solutions, data models, and visualizations for Global Finance. Translate business requirements into scalable solutions, support product lifecycles, resolve issues, manage delivery workstreams, and communicate insights to technical and business stakeholders. Partner with finance and technology teams to improve reporting, operational problem-solving, and data-driven decision-making.

Build and architect enterprise data governance-as-code platforms, automated governance pipelines, AI-powered monitoring solutions, and reusable governance frameworks. Drive adoption of data governance standards across business units by partnering with data governance teams, owners, and stewards. The role requires advanced technical expertise in Python or SQL, cloud data platforms, modern data architecture, governance tooling, change management, and regulated-industry data practices.

Leads enterprise data governance transformation across investment, operations, and client domains. Owns governance strategy and operating model, develops high-performing teams, builds governance capabilities, advances AI-enabled automation and governance-as-code, and drives adoption through change management. Partners across a regulated financial services organization while leveraging cloud data platforms, modern data architecture, and governance tooling to improve data quality, compliance, risk management, and control effectiveness.

Own enterprise AI product strategy, roadmaps, prioritization, adoption, metrics, and lifecycle management. Partner with business stakeholders, engineering, architecture, security, legal, risk, and compliance teams to deliver AI agents, copilots, automation, and Power Platform solutions. Translate business needs into technical outcomes, manage dependencies and tradeoffs, communicate with executives and technical teams, and drive measurable productivity and business value.

Lead and scale enterprise IAM operations and governance, ensuring identity lifecycle, provisioning, certifications, entitlement accuracy, and privileged access oversight. Drive IAM as Tier 0 services with high availability, automation, and AI/ML-enabled risk detection. Partner with Risk, Audit, HR, and engineering to align controls, remediate findings, and deliver KPIs while building a high-performing IAM leadership team.

Design, build, and operate enterprise observability platforms using OpenTelemetry, telemetry pipelines, unified metrics, events, logs, and traces, and Observability-as-Code. Integrate cloud-native tooling, automate onboarding, establish SLI/SLO and golden-signal standards, optimize cost and data quality, and advance anomaly detection. Lead technical workstreams, mentor engineers, and improve reliability and developer experience across AWS and Kubernetes environments.

Partners with Investment Resources Relationship Managers to grow sales within strategic intermediary firms. Builds and maintains relationships with home-office research groups, develops business plans, identifies opportunities, recommends investment strategies, delivers client resources, and represents firm priorities internally. Meets clients and prospects virtually and in person, with travel up to 25%. Analyzes investment results, industry trends, and business models to develop persuasive sales and marketing ideas.