Top Tech Jobs & Startup Jobs

Leads the complete Indian accounting function, including bookkeeping review, reconciliations, GST and TDS compliance, financial reporting, account finalization, month-end and year-end closing, and multi-currency and inter-company accounting. Manages and mentors the accounting team, coordinates with auditors and tax consultants, strengthens controls and SOPs, resolves escalations, improves processes, and provides management reporting and financial insights.

Drive direct enterprise sales and revenue growth for cloud consulting and transformation services in Dubai. Manage strategic accounts, build CXO relationships, develop pipelines, lead complex sales cycles, and expand AWS solution adoption. Responsibilities include prospecting, presentations, proposals, commercial negotiations, partner collaboration, account-based campaigns, market analysis, and sales reporting.

Design and enhance scalable enterprise products for an AI-native automotive retail platform. Translate business needs into technical solutions, build intelligent workflows using AI, automation, data, and real-time insights, and contribute across architecture, development, testing, deployment, and reliability. Collaborate with cross-functional stakeholders, solve complex technical challenges, optimize performance, and apply modern engineering practices to deliver measurable business value.

Generate leads in the UK and US accounting markets through LinkedIn, email, cold calling, and other channels. Build relationships with accounting firms, schedule meetings for senior sales staff, follow up with prospects, prepare proposals and presentations, maintain CRM records, support marketing campaigns, and research target companies and decision-makers.

Manage monthly management accounts, P&L, balance sheets, reconciliations, payroll, tax filings, year-end statements, collections, profitability analysis, dashboards, cash flow, budgeting, forecasting, and financial controls. Maintain Xero and Xero Practice Manager, improve billing and reporting processes, and lead automation, AI, and digital finance initiatives for an Australian client.

Serve as a Microsoft 365 subject matter expert, architecting, deploying, governing, securing, and supporting enterprise M365 services. Manage Entra ID, Active Directory, Okta federation, Exchange Online, SharePoint, Teams, OneDrive, Purview, and cross-tenant collaboration. Lead modernization and migration initiatives, automate operations with PowerShell, troubleshoot complex hybrid identity issues, provide tier-three escalation support, document solutions, mentor junior staff, and collaborate with cybersecurity, infrastructure, network, and application teams.

Develop and maintain C/C++ applications for Embedded Linux systems focused on networking, Wi-Fi, Bluetooth, and device interfaces. Responsibilities include system integration, cross-compilation, debugging, root-cause analysis, performance optimization, secure coding, and deployment. The role requires expertise in networking protocols, WPA Supplicant, Bluetooth profiles, build systems, debugging tools, shell scripting, and collaboration across hardware and software teams.

Leads a team of Data Quality Engineers responsible for validating ETL pipelines, transformations, business rules, and large-scale data platforms. Develops data quality automation and validation frameworks using Python, SQL, Snowflake, Databricks, Spark, and Airflow. Integrates testing into CI/CD, investigates anomalies and root causes, establishes quality standards and metrics, and partners cross-functionally with Data, Product, Engineering, and Analytics teams. Manages hiring, performance, career development, and technical growth while driving engineering excellence.

Leads the architecture and delivery of production-grade agentic and generative AI systems, including LLM agents, RAG pipelines, multi-agent workflows, and scalable cloud applications. Guides technical architecture, production engineering, LLMOps, evaluation, observability, security, and responsible AI practices. Mentors AI/ML and backend engineers, conducts design and code reviews, and collaborates with product, data, platform, security, compliance, and executive stakeholders.

Leads AI/ML platform engineering and operational excellence across the organization. Provides technical leadership, architecture guidance, mentoring, tool and cloud-service evaluation, and enablement for AI/ML teams. Oversees model deployment, monitoring, observability, optimization, governance, security, and compliance across cloud-native and containerized environments. Translates business requirements into scalable AI/ML solutions and supports Kubernetes, serverless, MLOps, and generative AI initiatives.