• Lead the design, implementation, and management of scalable, reliable, and highly available cloud-based infrastructure (AWS/Azure) • Establish SRE best practices, including monitoring, incident response, capacity planning, and performance tuning • Improve observability, monitoring, and alerting, ensuring quick detection and resolution of reliability issues • Drive automation-first approaches, reducing manual intervention through Infrastructure-as-Code (IaC) and CI/CD pipelines • Lead a team of SREs, applying Blackpoint Cyber's management values of Coach, Model, Care, in defining business-critical outcomes, creating action plans, and supporting the team in achieving them • Continue hands-on contributions in an SRE role • Design, implement, and support key infrastructure, including automated attack infrastructure deployment, isolated identity and productivity environments, and secure data storage • Establish and apply security hygiene and monitoring policies to meet Blackpoint Cyber security requirements • R&D with AI tooling and other SRE tools such as Grafana IRN, Loki, and Alloy • Monitor and optimize cloud spending, ensuring cost-effective resource utilization without compromising reliability • Define and implement cost-saving strategies (e.g., right-sizing instances, leveraging spot instances, optimizing storage, etc.) • Work closely with finance and procurement teams to forecast infrastructure costs and align expenses with business objectives • Manage and mentor a global team of SREs, DevOps engineers, and cloud infrastructure specialists • Partner with engineering teams to design reliable and scalable architectures, embedding reliability into development workflows • Collaborate with security teams to ensure compliance, security hardening, and disaster recovery readiness • Drive post-incident reviews, ensuring continuous improvement in system resilience

Role Description MEMX is searching for a skilled Linux Platform Engineer who is passionate about pursuing operational excellence through engineering, monitoring, and automation with an aim to reduce errors and standardize configurations and deployments. This position requires a hands-on approach to architecture and support, with the responsibility of designing and developing solutions. You will collaborate with teams to gather insights and solicit feedback on tackling current challenges, all while emphasizing standardization and scalable solutions. This role will be supporting the firm's enterprise and production systems on global initiatives. Your position requires you to be responsible for planning, installation, testing, and maintaining infrastructure throughout the organization and to assist with the requirements for enterprise and production systems. This role will be covering the shift of 2:00 pm to 11:00 pm ET. MEMX currently has a U.S. presence in these states: California, Colorado, Connecticut, Delaware, Florida, Georgia, Illinois, Kansas, Maine, Maryland, Michigan, Nevada, New Jersey, New York, North Carolina, Pennsylvania, South Carolina, & Utah. - If you live outside of the above states, please list in your application and our team will evaluate. What You’ll Do - Collaborate with development and operations teams to build and maintain infrastructure which supports MEMX operated platforms. - Monitor scalable solutions which run infrastructure, both on-premises and cloud. - Help debug build system and continuously improve build performance through metrics and analysis. - Monitor systems capacity and performance to allow for scaling of high performance as necessary in addition to performing root cause analysis for incidents. - Work with information security team to mitigate software and hardware vulnerabilities in the environment. - Perform other duties as required and any other duties as assigned. Qualifications - Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study. - 2+ years hands-on experience with distributed systems and the network architectures needed to run them. - Proficient and deep knowledge of operating system, especially in Linux and Linux Internals. - Wizard on Unix command line with very strong Python and shell scripting experience. - Strong understanding of systems, networks, and troubleshooting techniques, especially for distributed systems including detailed and thorough analysis. - Solid understanding of DevOps practices and methodologies, including continuous integration, continuous delivery, and automated testing (e.g. Ansible, Terraform, Jenkins, Artifactory, Splunk, Netbox, Prometheus, Grafana etc.). - Experience with installing, configuring, and troubleshooting Linux servers in production environments. - Excellent analytical and problem-solving skills with strong attention to detail and follow through. - Experience with managing multiple projects simultaneously and can adapt to the changing business needs and requirements (“startup mentality”). - Experience working on low latency systems is a plus. - Strong written and verbal communication skills. - Ability to perform job relatively independently. Benefits - Work From Home. - Health Care Plan (Medical, Dental & Vision). - Retirement Plan (401k). - Life Insurance (Basic, Voluntary & AD&D). - Unlimited Paid Time Off. - Generous Paid Family Leave. - Short Term & Long-Term Disability. - Training & Development. - Wellness Resources. - Pay Range: $90,000 to $115,000. - *Pay ranges are a general guideline only and not a guarantee of compensation. Compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Equal Opportunity Statement MEMX is an equal opportunity employer. We are committed to creating a diverse and inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Diversity Inclusion Statement At MEMX, we believe that diversity and inclusion are essential to driving innovation and success. We welcome and celebrate individuals from all backgrounds and perspectives, and we strive to create an inclusive culture where everyone can thrive.

• Build a SRE team, from scratch. Hire experienced site reliability staff and build a team of 4-6 in year one. • Professionalize incident management. Define and document incident processes and practices for your SRE team and for the application feature teams. • Drive incident professionalism and reliability culture across the engineering organization through training and process adoption. • Use design reviews, code reviews, and blameless retrospectives to drive a culture of quality and excellence in engineering. • Balance incident response while also executing on a roadmap of observability and reliability engineering initiatives. • Hire and directly manage site reliability engineers. • Responsible for recruiting, onboarding, mentoring, coaching, and developing your team. • Recognizing and retaining high performers. • Leading horizontally with peer management & senior leaders.

Role Description As a Software Engineer on the Marketplace team, you’ll work at the intersection of full-stack product engineering and machine learning operations—helping power the systems that match renters to homes across ApartmentList.com, Kaleno.com and Sunny.com. You’ll contribute to a range of work: - Building and maintaining the backend which powers search - Supporting ML pipelines and model serving infrastructure - Collaborating closely with data scientists and engineers to bring ML capabilities into production This is a blended role for an engineer who is comfortable context-switching between product feature work and ML infrastructure, and who is excited to grow their depth in both areas. You’ll work closely with your Engineering Manager, product partners, and a globally distributed team. Qualifications - 5+ years of professional software engineering or ML Ops experience, with meaningful work in backend or full-stack development - Proficiency in at least one backend language (We use Ruby/Javascript, Go, Python) - Exposure to ML concepts and an interest in working at the boundary of software engineering and machine learning - Hands-on experience with ML Ops tooling—Vertex AI, MLflow, Kubeflow, or similar - Demonstrated proficiency managing data using SQL and programming languages, with exposure to feature pipelines and A/B testing frameworks - Experience with a balanced approach using AI tools – improving workflows, reducing feedback loops - Experience working in cloud environments (GCP preferred; AWS or Azure also considered) - Excellent communication skills as well as debugging instincts with an ownership mindset - Ability to collaborate effectively across time zones and with cross-functional partners Requirements - Mentorship experience for other engineers (Nice to Have) - Experience with search or recommendation systems (Nice to Have) - Experience working in an online marketplace (Nice to Have) - Familiarity with real-time systems, particularly in the context of optimizing latency and performance (Nice to Have) - Hands-on experience with feature stores — Chalk or similar (Nice to Have) Benefits - Compensation range based on experience and location - Zone 1: $144,000 - $174,000 TTC (including $129,000 - $153,000 base salary) + equity - Zone 2: $129,000 - $157,000 TTC (including $116,000 - $138,000 base salary) + equity - Consideration of market indicators, work location, job-related skills, experience, and relevant education and training for fair compensation - Potential for higher compensation in exceptional circumstances