Top Tech Jobs & Startup Jobs

Lead reliability initiatives for critical platforms and services by improving scalability, availability, observability, automation, and incident recovery. Responsibilities include creating monitoring and SLO baselines, supporting incidents and post-mortems, conducting disaster recovery tests, deploying AWS and AI-integrated services, building Terraform and CI/CD automation, developing observability dashboards, and enabling engineering teams through platform migration, documentation, and secure self-service practices.

Design, develop, and maintain complex software solutions across systems; translate requirements into scalable designs; implement best practices, perform code reviews, fix complex bugs, resolve technical issues, and mentor/ train junior engineers.

Design, develop, and deploy cloud-hosted applications supporting scientific research publication. Collaborate with stakeholders and Agile, DevOps, and cross-functional teams; contribute to architecture, performance, monitoring, testing, documentation, and delivery improvements. Mentor team members, apply industry best practices, support continuous improvement, and develop solutions using Java, Spring, JavaScript or TypeScript frameworks, cloud technologies, CI/CD tools, and emerging AI capabilities.

Leads regional research sales across Southeast Asia, Australia, and New Zealand, managing Account Managers and driving new business, renewals, upselling, forecasting, complex negotiations, and revenue growth. Builds and coaches high-performing teams, develops strategic sales plans, manages key consortium and enterprise relationships, and collaborates across product, marketing, finance, pricing, and customer success in a complex matrix organization.

Develop and deploy production-grade AI and data science solutions for scientific discovery, including LLM applications, NLP, semantic search, RAG, agentic workflows, knowledge graphs, and recommendation systems. Lead model evaluation, experimentation, monitoring, and lifecycle management while collaborating with engineering, product, research, and domain teams. Influence technical strategy, mentor data scientists, and deliver reliable, scalable, evidence-grounded AI products.

Develop and maintain complex full-stack web applications using React and Node.js. Lead software through the full SDLC, from requirements and system design through deployment and maintenance. Build accessible, performant client-side applications, micro-frontends, and services; integrate frontend and backend components; and ensure quality through continuous integration, code reviews, and automated testing. Collaborate with Product, UX, engineering teams, and healthcare-domain professionals using Agile delivery practices.

Leads multiple complex implementation projects for nursing and health education customers, coordinating cross-functional teams from sales through delivery. Responsibilities include developing project plans, schedules, workflows, risk logs, and roadmaps; tracking milestones and KPIs; managing stakeholders, resources, issues, and customer expectations; facilitating meetings; improving processes; and providing post-project support. The role partners with Customer Success, Product, Sales, IT, Curriculum Solutions, and Support teams.

Identifies and delivers AI and automation opportunities across Salesforce, Agentforce, Data Cloud, and MCP integrations. The role models processes, gathers requirements, defines user stories and acceptance criteria, assesses data readiness, facilitates workshops, and partners with Salesforce, data engineering, and AI teams throughout the SDLC. It also advises senior stakeholders on AI feasibility, risks, responsible use, change management, and adoption.

Designs, develops, tests, deploys, and supports scalable Salesforce CRM solutions across the full project lifecycle. Serves as a technical advisor to stakeholders, leads integrations, troubleshoots complex issues, reviews code, estimates work, documents solutions, and applies Salesforce best practices. The role requires advanced Salesforce certifications, integration experience, Agile delivery, technical project management, and strong communication with technical and business audiences.

Own defined product features and workstreams across the Apply Portfolio from discovery through delivery, launch, adoption, measurement, and iteration. Translate customer and business needs into requirements, user stories, and priorities; collaborate with engineering, design, analytics, sales, and customer success; analyze product data; incorporate AI capabilities; support demonstrations, enablement, and go-to-market activities.