Role Description The world of digital assets is accelerating in speed, magnitude, and complexity, opening the door to new ways for leveraging the blockchain. Fireblocks’ platform and network provide the simplest and most secure way for companies to work with digital assets and it trusted by some of the largest financial institutions, banks, globally-recognized brands, and Web3 companies in the world, including BNY Mellon, BNP Paribas, ANZ Bank, Revolut, and thousands more. Join a newly established, mission-critical SRE team at the forefront of financial infrastructure reliability. As part of Fireblocks Trust’s commitment to operational excellence, our Site Reliability Engineering team serves as the backbone of production systems, ensuring world-class uptime and performance for our digital asset custody and settlement platform. As part of your role, you would: - Improve and establish new monitoring, alerting and observability of services using a wide range of tools. - Handle critical alerts and incidents and work directly with R&D to improve and optimize availability. - Research Fireblocks blockchain workflows, identify optimization opportunities, issues and improve monitoring. - Help identify root causes for incidents and prevent them from happening again. - Solve and orchestrate outages by working with multiple teams. - Improve and establish alerting for our infrastructure, services and business logic. - Work closely with the R&D and Support: offering education and guidance on integration, support, and monitoring across the toolset. - Communicate and escalate issues to senior management in R&D and support, write RCA’s, define next steps. - Document actions in runbooks and then into automation using Python, Lambda, shell scripts, ArgoCD, Ansible. - Focus on the system's observability, availability, reliability, performance/latency, monitoring. - Conduct periodic on-call duties and emergency response. Qualifications - At least 3+ years of experience as SRE, Infra Backend in a SaaS environment. - Curious, self-motivated, easy to work with, responsible and production aware. - Fast learner and able to take a project from POC to production, while handling decision making and communication. - Experience with coding languages - Python/JavaScript/Bash (Must). - At least 3+ years of experience with alerting & monitoring systems such as DataDog, Coralogix, Splunk, New Relic, Prometheus. - Experience working with Linux systems from kernel to shell and beyond. - Cloud systems such as AWS, Google Cloud, Azure. - Configuration management such as Ansible, Chef, Puppet, ArgoCD. - Experience with Docker, Kubernetes and Helm. - SCM - Git, Bitbucket, GitLab, Phabricator, Gerrit. - High analytical & troubleshooting skills - ability to solve complex problems. - Strong verbal and written communication skills and a collaborative mindset. Requirements - Previous experience in cryptocurrencies/blockchains - big advantage. - In-depth knowledge in: Linux optimization, nginx, ArgoCD, DataDog, MySQL. - Participated in Kubernetes migration projects. - Previous experience as C++ or Node developer. - BSC in Computer Science or related technical certifications. Benefits - A reasonable base salary range estimate for this position is $150,000 - $175,000. - The base salary is one component of the total compensation package, which may include a target bonus, a very competitive equity grant, and very generous benefits. Company Description Fireblocks is an equal opportunity employer. We embrace diversity and foster an inclusive workplace. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Fireblocks' mission is to enable every business to easily and securely access digital assets and cryptocurrencies. In order to do that, we strongly believe our workforce should be as diverse as our clients, and this is why we embrace diversity and inclusion in all its forms.

Role Description Bloom, the insurance industry’s trusted growth partner, is seeking a Senior Engineer, Reporting & Insights to strengthen our data-driven approach to member engagement and program optimization. This role will build and maintain the reporting infrastructure, analytics pipelines, and predictive capabilities that directly impact member outcomes and program effectiveness. As a key individual contributor within the Technology organization, this engineer will bridge technical and business functions, transforming complex engagement data into actionable insights that optimize member experiences and drive measurable program results. The ideal candidate will combine deep technical expertise with business acumen and a passion for leveraging data to improve member engagement strategies. We are looking for an exceptional individual who can: - Design, build, and maintain scalable reporting solutions and interactive dashboards that deliver actionable insights on member engagement metrics, program performance, and intervention effectiveness. - Collaborate with Technology teams including Data Engineering, Software Engineering, and Architecture to drive cross-functional initiatives and ensure robust data solutions for member engagement analytics. - Champion data integrity and governance across our cloud-based data environment, ensuring consistent and reliable access through modern analytics platforms including Metabase and PowerBI. - Develop and maintain strong working relationships with Member Engagement, Call Center Operations, and other business stakeholders to understand program objectives, member needs, and opportunities for improvement. - Contribute to the evolution of our member engagement data strategy by identifying new data sources, predictive analytics capabilities, and technological improvements needed to optimize program performance. - Build and monitor key performance indicators (KPIs) for member engagement programs that align with organizational priorities and drive measurable member outcomes. - Execute complex predictive analytics initiatives utilizing advanced techniques to forecast member behavior, identify engagement opportunities, and optimize program intervention. - Develop and optimize SQL views, queries, and data models within AWS Redshift to support reporting and analytics workloads. - Conduct root cause analyses of engagement patterns and perform statistical validation of program hypotheses, ensuring data-driven optimization of member engagement. - Communicate complex analytical findings to non-technical stakeholders, providing clear recommendations for program improvements. - Troubleshoot and resolve data pipeline issues and improve data quality throughout the member engagement data ecosystem. Qualifications - Bachelor’s degree in Business, Analytics, Computer Science, or related field; or equivalent experience - 5+ years of experience in Analytics, Data Engineering, or Clinical Analytics required - Prior healthcare industry experience required Requirements - Proven experience with AWS/Redshift and modern BI tools (Metabase, PowerBI, or similar) - Strong SQL proficiency with demonstrated expertise in Redshift query optimization - Experience with statistical programming languages (R/Python) for predictive modeling - Experience designing and implementing large-scale dashboard solutions for performance monitoring - Expertise in predictive analytics, member segmentation, and engagement modeling techniques - Knowledge of modern data architecture and ETL processes in cloud environments - Demonstrated experience with Agile methodology and project management - Strong collaboration skills and ability to build effective working relationships with business stakeholders, particularly program and engagement leaders - Excellence in translating complex technical concepts and predictive insights for non-technical audiences - Ability to balance strategic thinking with tactical execution while maintaining focus on measurable member outcomes Benefits - Competitive compensation - Comprehensive health coverage - Long-term growth opportunities - Remote work environment - BeBloom™, our proprietary employee training and engagement program - Opportunities for virtual live events, mentorship, leadership programs, and employee-led councils Core Values - Put People First: Uphold and promote a people-first culture within the organization, emphasizing empathy, kindness, and a commitment to making a positive difference. - Be Stronger Together: Embrace a team player mentality, leveraging the strengths of yourself and others to collaborate as one team. - Do What’s Right: Adhere to high ethical standards, acting with integrity to do what’s right for partners, customers, and colleagues. - Embrace a Growth Mindset: Embrace a culture of continuous learning, education, and professional development. - Drive Solutions: Demonstrate ingenuity and skill by sharing ideas and solutions that drive our mission forward.

• Design, build and maintain AI agents to automate internal processes and boost team efficiency (code review, test generation, documentation, monitoring and beyond) • Develop and own end-to-end AI pipelines: data preparation, LLM integration, orchestration, error handling, and observability • Write skills, tools and MCP integrations for agentic systems (function calling, tool use, multi-agent coordination) • Evaluate and select AI frameworks, models and APIs (LangGraph, OpenAI, Anthropic, etc.) • Build internal expertise: document approaches, share knowledge with the team • Maintain a registry of agents, skills and their infrastructure: versioning, changelog, ownership, and dependencies — ensuring full traceability and auditability • Collaborate with Security to implement their requirements into agent design and pipelines (access controls, data handling, audit logs, vendor approvals)

• Creating Architectural, Mechanical HVAC, DWV, Mechanical Pipe, Plumbing, Process Pipe and/or Electrical BIMs • Lead BIM Coordination meetings and exhibit a strong understanding of construction principles. • Support room for our trades in the interstitial space • Collaborating with other disciplines and provide subject matter leadership to the delivery team(s) when needed • Aiding in the creation of Revit families, as needed • Assist with the estimation and scoping of new project opportunities. • Complete weekly accounting of time through entry of digital timesheets. • Typical Time allocation Targets for BIM Engineers are as follows: o 85%-95% Billable hours o 5%-15% Overhead hours *Individual targets may vary based on assignments and initiatives tasked to the team member. • All other duties as assigned • Duties and assignments are subject to change