Top Tech Jobs & Startup Jobs

Design, build, and evolve observability and reliability platforms (Prometheus/Mimir, Grafana, Elastic/OTEL, Site24x7); operate multi-tenant Kubernetes/ArgoCD and hybrid on‑prem + AWS infrastructure; own patching compliance and vulnerability remediation; develop IaC and automation (Terraform/Ansible/CDK); consult partner teams on metrics and alerts; and contribute AI-assisted runbook and remediation tooling.

Develop, evaluate, and productionize ML models (demand, conversion, forecasting, personalization). Build scalable AWS-based ML pipelines, design experiments (A/B tests, bandits), and translate results into business recommendations while contributing to code quality and team collaboration.

Provide risk-calibrated legal support for global marketing, advertising, and outbound communications. Review campaign copy, channels (email, SMS, paid media), promotional programs, influencer and affiliate arrangements, and related contracts. Advise on market launch requirements, data use, targeting, and build scalable playbooks, templates, and training to enable compliant, growth-focused marketing.

GoDaddy invites individuals impacted by layoffs to express interest in job opportunities. Applicants are encouraged to fill out a form for potential roles.

The Senior Finance Analyst will partner with leaders to execute financial strategies, develop forecasts, analyze data, and drive budgeting processes.

Develop and manage GoDaddy's eCommerce and SSO infrastructure, focusing on backend services and APIs using Java and Kubernetes on AWS.

Manage GoDaddy's data and AI operations, ensuring reliability and cost efficiency, leading incident management, and improving operational standards.

The Software Development Architect will design and maintain automated pipelines, manage certificate lifecycle infrastructure, and drive security improvements, while collaborating across engineering teams to enhance foundational processes and mentor developers.

Build and maintain a globally performant, fault-tolerant microservices-based Data Integration platform on AWS. Contribute to architecture improvements, implement backend services using Java and the Spring ecosystem, follow TDD and CI/CD practices, collaborate in a scrum team, and ensure high availability and zero message loss for production data pipelines.

Founding member of a Sales Intelligence team building backend services and Salesforce solutions. Design and implement lead scoring, routing, and AI-powered features using LLMs, embeddings, and retrieval systems. Build APIs in Java/TypeScript, integrate with Salesforce (Apex, LWC, Flows), collaborate with Sales and Data Science, own full software lifecycle, and establish engineering practices and team foundations.