Top Tech Jobs & Startup Jobs

Lead and mentor an engineering team while remaining hands-on in software development. Own sprint execution, roadmap delivery, team performance, Java and Spring Boot backend API design, React frontend architecture, cloud deployment pipelines, DevOps processes, and Snowflake and Databricks integrations. Conduct performance reviews and guide scalable analytics applications, with preferred exposure to AI features and BI or reporting systems.

Provides pre- and post-sales WLAN consulting, design, implementation, migration, troubleshooting, and optimization for Aruba networking solutions. Creates requirements, network designs, installation and migration plans, and customer review materials. Resolves technical issues, simulates designs in labs, develops knowledge-base content, and collaborates with customers, partners, QA, engineering, and field teams. The role requires customer-site travel, strong communication, independent work, and expertise in Aruba products, authentication, wireless networking, VoIP, routing, switching, and security.

Analyze, design, integrate, and support payment systems, including SFMS and SWIFT platforms. Manage installation, configuration, upgrades, monitoring, troubleshooting, certificates, PKI messaging, routing, and integrations with CBS and payment channels. Support NEFT, RTGS, e-BG, testing, audits, vulnerability remediation, RBI/IDRBT compliance, vendor coordination, documentation, and operational effectiveness.

Design, build, and maintain scalable automated testing frameworks for front-end and back-end components. Develop test software and reporting solutions, convert manual coverage into reliable automated suites, and integrate testing into CI/CD pipelines. Test APIs, integrations, databases, CRM/ERP platforms, and third-party endpoints. Collaborate with Agile engineering and DevOps teams, improve testability, communicate quality risks, explore AI-enhanced testing tools, and support distributed teams and critical releases.

Leads strategic banking, financial services, and insurance accounts through digital transformation initiatives. Manages account plans, revenue targets, customer outcomes, sales consumption, and adoption goals. Builds executive relationships, identifies industry-specific opportunities, develops customized pitches, and coordinates multicultural virtual teams and partners to deliver transformative business results.

Build production-grade AI applications, backend services, agents, agentic workflows, and MCP integrations using Java and/or Python. Responsibilities include integrating LLMs with enterprise tools, implementing prompting and evaluation workflows, improving reliability, observability, performance, cost, and safety, and supporting production incidents. The role collaborates across engineering, product, and architecture teams while contributing to documentation and AI engineering best practices.

Develop and optimize Salesforce Data Cloud and Marketing Cloud solutions, including data ingestion, profile unification, segmentation, journeys, automations, triggered sends, and omnichannel campaigns. Build reusable integrations, support testing and release management, troubleshoot production issues, and ensure security, compliance, governance, documentation, and platform interoperability.

Support reliability and modernization of Kubernetes-based microservices platforms. Build Datadog observability solutions including dashboards, alerts, APM, metrics, logs, and traces; integrate monitoring with AWS and CI/CD pipelines; automate operational tasks with Python; manage agents, integrations, access controls, and secure configurations; and lead platform maintenance and improvements focused on reliability, scalability, and performance.

Leads technology alignment, competitive intelligence, product portfolio strategy, and market value positioning. Partners with sales, business groups, and customers to improve products and services, provides technology trend insights, mentors staff, manages resources, and leads small projects in global, multicultural environments.

Analyze, clean, transform, and visualize data to support business decisions. Build and maintain Power BI or Qlik dashboards, automate ETL and reporting with Python and SQL, validate data integrity, and deliver actionable insights to stakeholders. Apply AI and machine learning techniques for predictive analytics, process optimization, and automation. Collaborate with business, IT, and data engineering teams to improve reporting processes, data architecture, and governance.

Leads regional, full-cycle talent acquisition strategy and operations across multiple sites. Manages recruiting teams, vendors, systems, compliance, analytics, training, and continuous improvement initiatives. Partners with Operations and HR to support organizational growth, improve candidate quality and new-hire retention, and ensure consistent policies and procedures. Requires extensive talent acquisition management experience, bilingual English and Spanish skills, regulatory knowledge, and regional travel.

The posting provides extensive information about Quess Corp and its business divisions but does not specify the Senior Executive Operations role’s responsibilities, qualifications, compensation, location, travel, or clearance requirements.