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Were seeking experienced Senior DevOps Engineer to design scalable systems and provide hands-on guidance to development teams.
Key Responsibilities:
Design, implement, and maintain scalable cloud infrastructure using AWS and GCP ensuring high availability and efficient resource utilization.
Build and manage CI/CD pipelines to automate code builds, testing, and deployments, enabling rapid and reliable software releases.
Develop and adopt new tools to make Development and Operations processes at Blockaid more efficient.
Collaborate with developers to optimize service performance, reliability, and scale.
Monitor system performance and availability using Datadog and other tools, set up alerts for proactive incident response, and manage security through IAM roles, security groups, and compliance with best practices.
Maintain Blockaid availability by participating in DevOps on-call shifts.

Required Cyber Data Analyst
Description
We are redefining trust in blockchain through advanced, integrated security. Our on-chain security platform is trusted by leading Web3 companies-including Coinbase, MetaMask, Uniswap, Backpack, Stellar, and others-to detect, understand, and automatically prevent or minimize the impact of fraud, scams, hacks, and financial threats.
We are backed by top-tier global investors including Sequoia Capital, Ribbit Capital, and Cyberstarts-firms known for supporting the most innovative and influential companies in technology and cybersecurity.
As a Senior Data Analyst within our R&D team, you will shape how we understand data, uncover trends, and drive strategic decisions across. Working closely with cross-functional teams, you will turn complex datasets into actionable insights that directly influence our business growth and product direction.
Your Chain of Impact:
Identify, analyze, and interpret trends or patterns in complex datasets to uncover actionable insights.
Analyze large datasets to provide clear, impactful recommendations that support operational and strategic goals.
Develop scalable data processes and infrastructure to support internal stakeholders.
Build and maintain dashboards, reports, and KPIs to monitor and improve company performance.
Translate business questions into analytical models and craft compelling data visualizations that tell the story.
Partner with cross-functional teams to understand business needs and design data-driven solutions.