Top Tech Jobs & Startup Jobs

Build and support backend-heavy software across Python and Java, with a primary focus on agentic AI. Develop MCP servers, LLM agents, tool-calling and multi-agent systems; evaluate agent behavior and production observability. Contribute to architecture, testing, code reviews, technical-debt reduction, and scalable microservices. Collaborate with Product Management and QA while working independently. Familiarity with cloud infrastructure, especially GCP, is valuable; React and TypeScript experience is preferred.

Build, operate, and evolve large-scale Kubernetes and cloud infrastructure. Responsibilities include platform reliability, production troubleshooting, automation, infrastructure as code, CI/CD, observability, incident response, disaster recovery, migrations, and technical leadership. The role requires autonomous ownership of complex infrastructure initiatives, production coding in Go, Python, or Java, and direct collaboration with technical stakeholders.

Lead customer-facing cloud and AI optimization deployments from discovery through production. Partner with executive sponsors and engineering teams to assess architecture, design deployment roadmaps, solve infrastructure and AI optimization problems, navigate change and compliance processes, and deliver measurable outcomes. The role requires deep public-cloud, production engineering, enterprise architecture, AI infrastructure, and external consulting experience, plus ownership of executive communication, adoption metrics, playbooks, and expansion opportunities.

Coordinates purchase orders, corporate card purchases, vendor communications, approvals, invoices, deliveries, and procurement documentation. Maintains accurate records, reconciles expenses, schedules procurement meetings, supports onboarding, and assists with administrative operations and process improvements. Requires strong organization, discretion, stakeholder communication, procurement experience, and full English bilingual proficiency.

Own strategic client relationships, account growth, delivery outcomes, commercial performance, and global team orchestration across technology services portfolios. The role partners with executive stakeholders on AI, cloud, and enterprise modernization initiatives while managing SOWs, forecasting, margins, staffing, procurement, renewals, and portfolio expansion.

Build user-facing reports, data models, and pipelines in BigQuery; apply statistical analysis to generate insights; troubleshoot analytics stack issues; review schemas and code; collaborate with product and engineering teams; and use AI agents to automate workflows and surface insights. The role requires strong SQL, BigQuery, Looker, Python, data warehousing, statistics, communication, and product judgment.

Lead enterprise cloud cost optimization programs across AWS and GCP. Identify savings opportunities, manage optimization initiatives, partner with engineering and cloud providers, analyze billing and usage data, develop forecasts and business cases, validate savings, and establish governance processes. Influence cross-functional teams without direct authority while presenting recommendations and results to senior and executive stakeholders.

Build and support full-stack features across React and TypeScript frontends and Java or Go backend services. Responsibilities include architecture discussions, testing, deployment, code reviews, technical debt reduction, and collaboration with product and QA teams. The role requires independent ownership, strong attention to detail, and use of AI coding assistants. Experience with cloud infrastructure, microservices, and AI-driven applications is advantageous.

Lead sales growth across the Middle East by acquiring and expanding enterprise and mid-market accounts, managing pipeline and forecasts, partnering with marketing and delivery, representing the company at client and industry events, and consistently exceeding revenue targets.

Lead enterprise FinOps and cloud cost optimization programs: identify waste, design governance, analyze usage data, recommend and implement optimizations, build analytics/reporting, advise stakeholders, mentor teams, and drive measurable cost reductions.