Top Tech Jobs & Startup Jobs

Lead enterprise Salesforce architecture and engineering across multiple clouds and custom platform solutions. Own technical roadmaps, architecture standards, governance, integrations, security, scalability, DevOps, and AI adoption. Manage and mentor Salesforce architects, technical leads, and engineers while partnering with executives, business stakeholders, product teams, and technology vendors. Drive large-scale application delivery, platform innovation, talent development, and measurable business outcomes.

Leads consultative technical sales for integrated security and fire solutions in mission-critical environments such as data centers. Designs resilient architectures involving access control, video surveillance, perimeter protection, emergency communication, and system integrations. Advises customers, consultants, contractors, and internal teams; influences specifications; develops proposals, demonstrations, proof-of-concepts, and technical value propositions. Reviews technical documents, defines solution scope and integration approaches, and supports bid strategy, compliance, value engineering, and customer engagements.

Lead New Product Introduction (NPI) projects: coordinate cross-functional teams, provide technical guidance, oversee testing/validation and market readiness, maintain documentation and reporting, engage stakeholders and customers, and proactively resolve issues to ensure successful product launches.

Provides end-to-end project design and delivery for refinery, oil and gas, and petrochemical customers. Develops technical specifications, guides project teams, reviews quality and functional compliance, configures process simulations, manages risks, conducts customer reviews, and supports proposals and estimations. The role requires refinery process expertise, simulation modeling of reactors, furnaces, and turbines, project scheduling and budgeting, team management, and customer communication.

Design, engineer, test, integrate, and commission control system hardware and software for industrial automation projects. Responsibilities include DCS, PLC, safety systems, HMI, third-party interfaces, networking, detail engineering, FAT, SAT, loop checking, site commissioning, customer interaction, and compliance with quality and safety procedures. The role requires interpreting project specifications, architectures, P&IDs, and control narratives while delivering work within schedule and budget. Travel ranges from 30% to 70% based on project requirements.

Lead Advanced Process Control and Plant-wide Optimizer projects from assessment through commissioning and post-audit. Configure, model, install, tune, and optimize control systems; evaluate economic targets and controller variables; troubleshoot DCS regulatory loops; conduct studies and training; collaborate with support and R&D teams; support sales activities; and mentor junior personnel.

Leads end-to-end engineering design and delivery for refinery, oil and gas, and petrochemical projects. Develops technical specifications, guides project teams, reviews quality and functional compliance, configures simulations, manages risks, interfaces with customers, and supports proposals and estimating. Requires expertise in refining processes, chemical engineering, plant operations, and simulation of reactors, furnaces, and turbines. Oversees multiple projects, budgets, schedules, team development, and product improvement.

Implements Process Advisor solutions for refinery and petrochemical customers. Responsibilities include evaluating technical documents, configuring Azure-based unit solutions, creating steady-state process models and KPI calculations, troubleshooting digital twin applications, performing QA/QC, configuring customer reports, and supporting software installation and releases. The role requires refinery process knowledge, simulation expertise, stakeholder engagement, and collaboration with global technical teams.

Develop and deploy production-grade Generative AI and Agentic AI applications, including autonomous agents, RAG pipelines, reasoning workflows, memory architectures, self-healing processes, and human-in-the-loop controls. Integrate LLMs, VLMs, APIs, databases, and external tools across cloud, hybrid, and on-premises environments. Ensure monitoring, testing, optimization, governance, and production readiness while supervising team members, managing projects, and mentoring junior colleagues.

Develop and deploy production-grade Generative AI and Agentic AI applications, including autonomous agents, RAG pipelines, multi-step reasoning workflows, memory architectures, self-healing processes, and human-in-the-loop controls. Integrate models, APIs, databases, and tools across cloud, hybrid, and on-premises environments. Ensure monitoring, testing, optimization, governance, and production readiness while supervising, mentoring, and reviewing team members.