• Design, build, and maintain CI/CD pipelines for automated build, test, and deployment workflows • Manage cloud infrastructure on AWS (EC2, Amazon Connect, S3, Lambda, VPC, IAM, etc.) • Deploy and manage containerized applications using Docker and Kubernetes • Implement Infrastructure as Code (IaC) using Terraform or CloudFormation • Monitor system performance and reliability using observability tools (Prometheus, Grafana, CloudWatch, etc.) • Automate repetitive tasks and improve operational efficiency • Ensure system security, compliance, and best practices in cloud environments • Collaborate with development teams to streamline release processes and troubleshoot issues • Manage logging, alerting, and incident response processes

Role Description This is a hybrid infrastructure and AI operations role — part traditional DevOps, part emerging AgentOps discipline. The DevOps/AgentOps Engineer owns the CI/CD pipelines, infrastructure-as-code, observability stack, and deployment automation for both the application platform and the AI agent layer. They work shoulder-to-shoulder with the Full-Stack and Backend engineers, guide and learn from KMS's build process, and own the shared services infrastructure on the Revelation Pharma side. This is a high-autonomy role for someone who wants to define how a modern health-AI platform is built, deployed, and monitored from day one. Qualifications - AWS Infrastructure (Expert): Deep hands-on experience with IAM policy design, VPC networking, KMS encryption, CloudWatch/CloudTrail, and at least 3 of: HealthLake, Bedrock, Lambda, Step Functions, ECS/Fargate, S3, Clean Rooms. - Infrastructure-as-Code (Expert): Production experience with Terraform or AWS CDK. - CI/CD & Deployment (Expert): End-to-end pipeline design (GitHub Actions, CodePipeline, or equivalent). - Observability & Monitoring (Strong): Production experience building observability stacks. - Security & Compliance (Strong): HIPAA technical safeguard implementation experience. - Agent/AI Operations (Developing to Strong): Experience deploying and monitoring LLM-based systems in production. Requirements - 5+ years in DevOps, SRE, or platform engineering roles with at least 2 years at a staff or senior level. - Production infrastructure experience in healthcare, fintech, or another regulated industry with formal compliance requirements. - Experience working in blended team models (internal + outsourced). - Demonstrated ability to work autonomously in early-stage environments. Benefits - Health care insurance (medical, dental, vision) - Life Insurance - Supplemental Insurance - PTO - 401K matching - Sick leave - Phone/internet reimbursement - Remote work - Top of the line machines

Role Description Our Site Reliability Engineering team is growing, and we are looking for a highly experienced Staff Site Reliability Engineer to help shape the future of reliability, scalability, and performance at AlphaSense. This is a hands-on, high-impact role where you will: - Architect core reliability platforms. - Lead by example in incident response. - Drive cultural adoption of SRE best practices across our global engineering organization. Our mission is to engineer our platform to the reliability standards of mission-critical systems, targeting 99.99% uptime, while continuously enhancing our systems and processes. This role is key to that mission and goes beyond traditional system maintenance; it’s about pioneering the platforms, practices, and culture that enable engineering to scale effectively. You will act as a force multiplier, mentoring fellow engineers, influencing architectural decisions, and setting the technical bar for reliability across the company. Qualifications - 8+ years of experience in Site Reliability Engineering, DevOps, or a similar role, with at least 3+ of those years operating in a Senior+ SRE position. - Strong background in running production SaaS systems at scale. - Proficiency in at least one programming/scripting language (Python, Go, or similar). - Hands-on expertise with cloud platforms (AWS, GCP, or Azure) and Kubernetes. - Deep understanding of networking fundamentals (TCP/IP, DNS, HTTP/S, load balancing). - Experience with monitoring & alerting (Prometheus, Grafana, Datadog, ELK). - Familiarity with advanced observability (OTEL, continuous profiling). - Proven incident management experience, including leading high-severity incidents and postmortems. - Strong troubleshooting skills across the full stack. - Excellent communication and collaboration skills. Requirements - Architect Reliability Paved Paths: Build frameworks and self-service tooling that let teams own the reliability of their services in a “You Build It, You Run It” culture. - Lead AI-Driven Reliability: Drive our AIOps strategy — automating diagnostics, remediation, and proactive failure prevention. - Champion Reliability Culture: Embed SRE practices across engineering via design reviews, production readiness, and operational standards. - Incident Leadership: Act as Incident Commander during critical events, modeling operational excellence, and ensuring blameless postmortems lead to lasting improvements. - Advance Observability: Deliver end-to-end monitoring, tracing, and profiling (Prometheus, Grafana, OTEL, Continuous Profiling) to optimize performance proactively. - Mentor & Multiply: Elevate engineers across SRE and product teams through mentorship, technical guidance, and knowledge sharing. Company Description AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination. In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works. We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note: - AlphaSense never asks candidates to pay for job applications, equipment, or training. - All official communications will come from an @alpha-sense.com email address. - If you’re unsure about a job posting or recruiter, verify it on our Careers page. - If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.

• Own and operate our Kubernetes clusters (AWS EKS production, bare-metal K3s for ML training, on-premises appliances running K3s) using GitOps (FluxCD) and Infrastructure as Code (CloudFormation, Ansible) • Manage the lifecycle of on-premises gateway appliances deployed at customer sites — VM image builds, TLS certificate automation, staged rollouts via GitOps, remote monitoring and troubleshooting • Build and maintain monitoring, alerting, and observability infrastructure (Prometheus, Grafana, Loki, Tempo, OpenTelemetry) across cloud and edge environments • Drive compliance automation — security hardening, access controls, audit logging, encrypted secrets management (SOPS/KMS), and evidence collection for C5, HIPAA, and HDS certifications • Support and scale ML training and data processing infrastructure — GPU cluster management, training job orchestration, and data pipeline reliability, working closely with the ML team to power state-of-the-art speech and language models • Incident response — detection, triage, resolution, and post-incident reviews for infrastructure issues.