Top Tech Jobs & Startup Jobs

Develop backend systems and production-grade automations using Agentic AI, MCP, workflow automation platforms, and AI tools such as Claude. Design and evaluate prompts, build AI agents, integrate backend systems, and create advanced automation workflows. Preferred experience includes AWS, CRM systems, customer lifecycle and retention analytics, marketing automation, and production agent-based systems.

Design, develop, and scale backend features, integrations, APIs, and technical solutions for customer needs. Investigate complex architecture, infrastructure, performance, and scalability issues; contribute to system design and engineering best practices; support customer-facing technical discussions; and collaborate across engineering, product, sales, customer success, and management teams to improve product reliability and customer satisfaction.

Build and architect scalable backend systems for a customer-focused product. Responsibilities include designing microservices and APIs, developing features with Node.js or TypeScript, scaling SQL and NoSQL data systems, using cloud and serverless technologies, improving performance, resolving technical issues, collaborating with customers and distributed teams, and participating in Agile and CI/CD practices.

Develop and maintain scalable Python backend applications, design microservices and distributed systems, deploy cloud solutions on AWS, and manage Kubernetes-based containerized applications. Optimize system performance, reliability, and security; troubleshoot complex issues; and collaborate with cross-functional teams on architecture and technical strategy. The role requires strong database knowledge across relational and NoSQL systems, with preferred experience in CI/CD, Docker, and DevOps practices.

Performs hands-on hardware, software, and system integration, validation, troubleshooting, and qualification testing. Supports NPI transitions, first production builds, final verification, root-cause analysis, and corrective actions. Works with multidisciplinary teams and external laboratories to improve product quality and manufacturability.

Own AWS Kubernetes workloads, GitOps delivery with ArgoCD, CI/CD pipelines, infrastructure as code, and observability systems. Manage EKS, Terraform, ELK, Grafana, and AWS services while troubleshooting production environments, creating alerts and runbooks, supporting internal development teams, and participating in on-call rotation. The role also involves scripting in Python and Bash and independently designing, maintaining, extending, and debugging delivery workflows.

Perform physical design for customer SoC blocks from netlist through GDSII, including floorplanning, place and route, clock tree synthesis, timing closure, static timing analysis, power grid analysis, and physical verification sign-off. Debug LVS and DRC issues and support advanced ASIC projects across multiple process nodes. DFT and Synopsys ICC/ICC2 experience are preferred.

Perform physical design for customer SoC blocks from netlist through GDSII. Responsibilities include floorplanning, place and route, clock tree synthesis, timing closure, static timing analysis, power grid analysis, IR drop and electromigration checks, and LVS/DRC physical verification sign-off. The role requires a relevant engineering degree and at least six years of back-end physical design experience. DFT and Synopsys IC Compiler experience are preferred.

Leads end-to-end architecture for enterprise data, analytics, and AI solutions in a Microsoft-first environment. Translates business requirements into secure, scalable designs and guides prototyping, implementation, architecture reviews, troubleshooting, governance, and production readiness. Requires deep hands-on experience with Azure data platforms, Power BI, enterprise security, Azure OpenAI, and retrieval-augmented generation patterns.

Leads end-to-end architecture for enterprise data, analytics, and AI solutions in a Microsoft-first environment. Translates business needs into secure, scalable designs; guides prototyping, implementation, reviews, troubleshooting, governance, compliance, and production readiness. Requires extensive Azure data platform, Power BI, enterprise security, Azure OpenAI, and RAG experience, with responsibility for supporting delivery teams and ensuring operationally sustainable solutions.