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Cohere Health is a Software-as-a-Service (SaaS) company focused on improving the patient journey by enhancing the quality of care at lower costs, as well as emp
Opportunity Overview: This is a remote-first role that may require travel to Boston, MA for new hire onboarding and occasional in-person team meetings and company events. We are seeking an operational-focused Site Reliability Engineer (SRE) to maximize the availability, performance, and resilience of our production healthcare systems. In this role, you will bridge the gap between AWS cloud infrastructure, MERN stack applications, and large-scale data workflows. You will spend roughly 60% of your time on live incident remediation, data pipeline operations, and Node.js/Python infrastructure tuning, and 40% on engineering automated solutions to eliminate operational toil. What you’ll do: - Production Operations: Maintain the continuous uptime, scalability, and security of our AWS-hosted MERN applications and backend data architectures. - Serverless Execution: Manage, optimize, and troubleshoot event-driven architectures running on AWS Lambda, focusing on cold-start mitigation, memory allocation, and execution timeouts. - Data Pipeline Execution: Monitor scheduled PySpark data workflows, execute standard operating procedures (SOPs) for large-scale data ingestion, and rapidly triage, rerun, or patch failed data processing jobs. - Incident Management: Participate in a collaborative on-call rotation to rapidly triage, debug, and mitigate live application outages and data flow bottlenecks. - Healthcare Compliance: Maintain strict HIPAA, SOC2, and HITRUST compliance profiles across all runtime environments, storage systems, and data pipelines handling Protected Health Information (PHI). - Toil Elimination: Engineer automated workflows to eliminate repetitive tasks like manual data seeding, infrastructure provisioning, and routine PySpark pipeline recovery steps. - Observability Engineering: Build specialized dashboards and alerts to monitor Node.js event loops, PySpark job execution stages, driver/worker memory leaks, and data pipeline throughput anomalies. - Post-Mortem Culture: Lead blameless post-mortems for operational and data processing failures, translating system crashes into permanent structural fixes. What you’ll need: - SaaS Platform Experience: Minimum of 3+ years of hands-on experience operating multi-tenant, cloud-hosted, or cloud-native SaaS platforms at scale. - AWS Cloud Engineering: Deep expertise operating AWS core services, specifically AWS Lambda, Amazon ECS/EKS, Amazon EMR or AWS Glue (for Spark), EC2, VPC networking, IAM permissions, and CloudWatch. - Automation & Data Languages: Professional competency in writing, debugging, and maintaining automation scripts and data tools using Python (including PySpark APIs) and Node.js. - Data Operations: Experience managing and troubleshooting distributed data orchestration pipelines, ETL tools, message queues (e.g., AWS SQS/SNS, RabbitMQ), or stream processing frameworks. - MERN Stack Operations: Deep understanding of the operational lifecycle of JavaScript/TypeScript applications, including memory management, asynchronous runtimes, and Node.js clustering. - Database Administration: Practical experience managing, sharding, indexing, and optimizing production-grade MySQL DB & Athena (RDS or self-hosted). - Infrastructure as Code: Proven ability to deploy and maintain immutable infrastructure utilizing Terraform or OpenTofu. - Healthcare Experience: Minimum 1 year working within HIPAA-regulated environments. Direct experience securing data-at-rest and data-in-transit containing sensitive patient records is preferred. - Education & Experience: Minimum of 4 years of software/systems experience, with at least 1-2 years focused on live cloud operations and distributed data workflow management is preferred. - Crisis Management: Calm under pressure with a methodical approach to identifying and isolating PySpark driver OOM (Out of Memory) errors or data corruption during high-stress outages. Attention to detail and effective communications skills will be critical in working with clients and internal stakeholders is preferred. Pay & Perks: 💻 Fully remote opportunity with about 5% travel 🩺 Medical, dental, vision, life, disability insurance, and Employee Assistance Program 📈 401K retirement plan with company match; flexible spending and health savings account 🏝️ Flex Time Off + company holidays 👶 Up to 14 weeks of paid parental leave 🐶 Pet insurance The salary range for this position is $100,000 to $110,000 annually; as part of a total benefits package which includes health insurance, 401k and bonus. In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment. Interview Process*: - Connect with Talent Acquisition for a Preliminary Phone Screening - Meet your Hiring Manager! - Design Interview(s) - Cross Functional Interview *Subject to change About Cohere Health: Cohere Health’s clinical intelligence platform and agentic AI-powered solutions connect health plans’ strategic goals and providers’ needs, optimizing the speed, cost, and quality of care. With an enterprise approach that streamlines payer-provider decision-making across the care continuum–including policy, prior authorization, payment accuracy, and more–the company improves collaboration and reduces burden, resulting in up to 8x ROI and 94% provider satisfaction. With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately. Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners. The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone. We can’t wait to learn more about you and meet you at Cohere Health! Equal Opportunity Statement: Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, it’s personal. #LI-Remote #BI-Remote
We make sense of data to drive your business forward. #MakeSenseofData #DriveYourBusinessForward #PartnerYourWay
Role Description The Forward Deployment Engineer (FDE) is the tip-of-the-spear technical role responsible for ensuring that EXLdata.ai is successfully deployed, adopted, and scaled within client environments. You will work side-by-side with client teams, product engineering, and our GenAI agent teams to: - Deploy EXLdata.ai into client cloud infrastructure (AWS/Azure/GCP) - Resolve infra, security, and data pipeline issues in real time - Customize accelerators and agent workflows for client-specific needs - Drive measurable value realization from Day 1 - Champion product enhancements back to the EXLdata.ai engineering team - Deliver white-glove support for clients using our managed platform offering This role is ideal for a senior data engineer who loves solving real-world problems, can operate in ambiguous conditions, learns fast, and thrives in high-impact client environments. Company Description EXLdata.ai is EXL’s flagship multi-agent orchestration platform that automates the end-to-end lifecycle of enterprise data pipelines – spanning data migration, data engineering, data quality, data governance, data ops, and unstructured data annotation. Having launched our MVP and now expanding across multiple Fortune-500 engagements, we are entering a rapid scale-up phase with two distinct delivery models: - Client-Deployed Model: Deploy EXLdata.ai within the client’s own cloud (AWS/Azure/GCP) and orchestrate their pipelines using our accelerator suite. - Managed Platform Model: EXL hosts EXLdata.ai in a dedicated private cloud and provides a white-glove, Data-Product-as-a-Service experience. To support this growth, we are hiring a Forward Deployment Engineer who will serve as the technical anchor at the intersection of cloud engineering, data engineering, GenAI, and client value realization.
Role Description Are you passionate about building reliable cloud infrastructure and automating deployments? Join our team and help maintain and optimize our AWS-based SaaS platform. - Experience: 3-5+ Years - Location: Remote - Employment Type: Contractual - Shift Timing: 5:00 AM to 2:00 PM - Notice Period: Immediate Joiner Qualifications - Manage AWS services (EC2, RDS, S3, IAM, VPC, Route53, CloudWatch) - Administer Linux servers and cloud infrastructure - Build and maintain CI/CD pipelines - Work with Terraform (Infrastructure as Code) - Manage Docker environments (Kubernetes is a plus) - Monitor system performance, security, backups, and disaster recovery - Support deployments and troubleshoot production issues Requirements - AWS Administration - Linux Administration - Terraform - Docker - CI/CD (GitHub Actions, Azure DevOps, etc.) - Bash/Python Scripting - Monitoring & Logging Tools - Strong troubleshooting and communication skills Benefits - Kubernetes (Nice to have) - Healthcare or SaaS experience (Nice to have) - AWS/Linux/InfoSec Certifications (Nice to have) - Knowledge of ISO 27001 or SOC 2 (Nice to have)
Better Data & Client Management For Whole Person Care
• Maintain and improve the company's Azure cloud infrastructure with a focus on reliability, availability, and performance. • Define, track, and report on SLIs, SLOs, and error budgets for production services. • Provide on-call, after-hours support on a rotating schedule, including incident response and escalation. • Lead and participate in blameless postmortems and retrospectives of production infrastructure incidents, driving corrective and preventive action items to closure. • Perform hosting tasks as needed including deployments and patching. • Automate infrastructure and configuration management using Infrastructure as Code (IaC). • Maintain and execute new tenant site provisioning. • Plan and execute database migrations to accommodate capacity plans. • Build and maintain observability tooling — metrics, logs, traces, dashboards, and alerting — using Datadog and Azure Monitor to enhance security, observability, and monitoring of workloads (compute, data storage, application integration elements). • Perform capacity planning and load/performance analysis to anticipate and prevent reliability issues before they impact customers. • Contribute to the organization's security audits and risk assessments. • Assist with vulnerability scans / penetration tests for internal and client systems. • Assist with identifying, documenting, and socializing application risks and vulnerabilities. • Use Azure services such as Azure Virtual Machines, Azure Kubernetes Service (AKS), Azure Functions, Azure SQL Database / Azure SQL Managed Instance, Azure Cosmos DB, Azure Blob Storage, Azure API Management, and Azure DNS, to name a few. • As well as Azure DevOps Pipelines / GitHub Actions, Azure Resource Manager (ARM) templates / Bicep, Checkmarx, Tenable, Datadog, Azure Monitor, and Atlassian products. • Ability to travel nationwide, up to 10% annually. • Perform other duties as assigned.
• Design, implement, and maintain enterprise-wide observability solutions using Dynatrace across web, mobile, APIs, and cloud-native applications • Configure Real User Monitoring (RUM), Application Performance Monitoring (APM), infrastructure monitoring, synthetic monitoring, and distributed tracing • Develop executive and operational dashboards that provide real-time visibility into application health, user experience, service performance, and platform availability • Implement AI-driven monitoring using Dynatrace Davis AI to establish intelligent baselines, reduce alert noise, and proactively identify performance issues • Build monitoring solutions for cloud-native microservices and distributed systems running in Google Cloud Platform (GCP) • Integrate Dynatrace with PagerDuty and other incident management platforms to automate alerting and streamline operational response • Collaborate with software engineers and platform teams to establish observability standards throughout the software development lifecycle • Monitor critical business transactions and user journeys to ensure optimal application performance and availability • Analyze application performance trends, identify bottlenecks, and recommend improvements to increase system reliability • Support production incident investigations through performance analysis, root cause identification, and post-incident reviews • Define monitoring standards, documentation, and best practices for enterprise observability • Partner with DevOps, SRE, and Infrastructure teams to continuously improve operational excellence and platform resilience
Bringing open source distributed AI to the edge of the grid to accelerate decarbonization and better serve people.
• Oversee the deployment and management of containerized applications using Kubernetes, ensuring optimal performance and availability • Contribute to strategic planning regarding how the infrastructure solutions evolve to match the requirements of Data Center partners • Lead the design, implementation, and maintenance of scalable and reliable systems on AWS and/or on-premise • Utilize Terraform for infrastructure as code to automate the provisioning and management of cloud resources • Monitor system performance and uptime, ensuring systems meet established service level objectives (SLOs) • Support SOC2 security compliance requirements for data handling • Mentor and guide team members in DevOps practices, promoting a culture of reliability and excellence • Advocate for automation of operational tasks to enhance efficiency and reduce manual intervention • Collaborate with cross-functional teams to build and maintain CI/CD pipelines • Troubleshoot and resolve complex production issues, conducting root cause analysis and implementing corrective actions • Participate in on-call rotations and incident response teams • Assist in capacity planning, performance tuning, and technical decision-making • Drive continuous improvement initiatives for processes and infrastructure
• Responsible for designing, implementing, and maintaining cloud infrastructure • Ensure the reliability and performance of applications • Work closely with development teams to establish CI/CD pipelines • Automate deployment processes leveraging expertise in cloud platforms and DevOps practices • Contribute to critical projects that enhance cloud capabilities
We pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably.
• Providing network operations and support for Varian’s cloud solutions • Private, public and hybrid infrastructure, network and security • Assisting with upgrading, installing, and configuring various cloud solutions including monitoring, application access, security, Palo Alto Networks (Highly Recommended), Citrix NetScaler, Citrix ADC • Assisting with reporting on current infrastructure status, and planning for future usage • Configuring and supporting backbone connections over ExpressRoute (Azure), and direct connection and VPN architecture • Maintaining allocation of IP CIDR block, perform maintenance involving modification of network, subnets, vlans, routes etc • Verifying and action on events aggregated from network monitoring tools and Web Application Firewall using Varian approved tools • Troubleshooting and determining root cause of issues • Collaborating to quickly resolve any network related outages and resolve customer impacting issues quickly • Contributing to the successful execution of projects • Creating, updating, and completing documentation • Investigate root cause analysis of incidents with follow up reporting and final content generation • Collaborating with network engineers on procedures, techniques, tips & knowledge to improve operations, security and work performed • Providing the highest level of customer service • Advance understanding of vendor and telco/exchange/service providers support escalation paths and being able to escalate support requests to these vendors in a typically urgent and timely fashion • Appling network system updates, patches, configuration changes • Planning network layouts and configures systems to user environments • Serving as a technical mentor to colleagues as necessary • Staying up to date with assigned Learning Management System courses • Maintaining a strong knowledge of Varian’s suite of applications • Eagerness to provide the highest level of customer service • On call support as required
We’re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don’t worry, we’ll guide you through the process if this is relevant to your role.
Role Description As a Senior Lead Database Reliability Engineer, you'll own the reliability, scalability, and operational excellence of the database infrastructure powering one of the most demanding real-time platforms in sports betting and gaming. In this role, you'll combine deep database expertise with software engineering and infrastructure automation to build resilient, self-healing systems, improve platform performance, and drive reliability across cloud and on-premises database environments. What You'll Do - Drive the technical roadmap for database reliability across PostgreSQL, MySQL, MongoDB, Redis, ScyllaDB, Aerospike, and managed cloud services, while shaping architecture for high availability, replication, partitioning, storage, and connection management. - Design and build automation-first database platforms by developing Kubernetes operators, infrastructure as code, GitOps workflows, and production quality tooling in Go or Python to automate provisioning, failover, backups, schema migrations, and lifecycle management. - Lead operational excellence by defining service level objectives, monitoring database health, capacity, and performance, eliminating recurring reliability issues, validating backup and recovery processes, and leading critical production incidents through resolution and continuous improvement. - Optimize database performance and cost across cloud and on-premises environments by driving capacity planning, resource efficiency, storage optimization, workload consolidation, and performance tuning for large scale systems. - Partner closely with application engineering teams to establish safe database practices, including schema reviews, migration strategies, query optimization, connection management, and zero downtime deployment processes. - Leverage AI to improve engineering productivity and database operations through intelligent observability, anomaly detection, root cause analysis, documentation, predictive insights, and evaluation of AI generated code to ensure reliability and security. - Mentor engineers across the organization by sharing best practices, leading design and code reviews, influencing technical direction, supporting hiring efforts, and raising the overall maturity of database reliability engineering. Qualifications - At least 6 years of experience in Database Reliability Engineering, Database Platform Engineering, or Site Reliability Engineering with a strong database focus, including technical leadership experience delivering complex database infrastructure projects at scale. - Deep expertise in at least one major relational database, preferably PostgreSQL, along with operational experience supporting technologies such as MySQL, MongoDB, Redis, ScyllaDB, Aerospike, Aurora, Cloud SQL, and other managed cloud database services. - Strong experience building and operating stateful workloads on Kubernetes using technologies such as StatefulSets, Persistent Volumes, database operators, Terraform, Pulumi, FluxCD, ArgoCD, GKE, and EKS. - Hands-on software development experience using Go or Python to create automation, platform tooling, Kubernetes controllers, APIs, and infrastructure that reduces manual effort and improves engineering efficiency. - A data-driven, automation-first mindset with proven experience improving reliability through observability, monitoring, service level objectives, capacity planning, performance optimization, and self-service engineering solutions. - Practical experience using AI tools such as Claude, GitHub Copilot, Cursor, MCP, or similar technologies to improve design, coding, documentation, troubleshooting, and operational workflows while applying sound engineering judgment to validate AI generated outputs. - Excellent leadership and communication skills with a track record of mentoring engineers, influencing architectural decisions, collaborating across engineering teams, producing clear technical documentation, and driving continuous improvement in highly available production environments. Benefits - The US base salary range for this full-time position is 168,000.00 USD - 210,000.00 USD, plus bonus, equity, and benefits as applicable. - Our ranges are determined by role, level, and location. - The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. - Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
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Cloud, Kubernetes, AWS, Azure, Google Cloud Platform, Python
