This page tracks remote devops engineer openings that are location-eligible for Maryland.
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Defining what it means to build and deliver the most extraordinary sports & entertainment experiences.The Crown is Yours
At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We're not waiting for the future to arrive. We're shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours As a Database Reliability Engineer, you'll support 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 database reliability across PostgreSQL, MySQL, MongoDB, Redis, ScyllaDB, Aerospike, and managed cloud services by supporting high availability, replication, partitioning, storage, and connection management. - Build and enhance 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. - Build self healing, fault tolerant infrastructure and internal tooling that reduces operational toil, improves engineering efficiency, and simplifies day to day database operations. - Optimize database performance and cost across cloud and on premises environments by supporting capacity planning, resource efficiency, storage optimization, workload consolidation, and performance tuning for large scale systems. - Partner closely with application engineering teams to promote 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. What You'll Bring - At least 2 years of experience in Database Reliability Engineering, Database Platform Engineering, Site Reliability Engineering, or a related infrastructure engineering role with a strong database focus. - Experience supporting at least one major relational database, preferably Aurora MySQL, along with operational experience working with technologies such as PostgreSQL, MongoDB, ScyllaDB, Aurora, or other managed cloud database services. - Experience building and operating stateful workloads on Kubernetes using technologies such as StatefulSets, Persistent Volumes, database operators, Terraform, Pulumi, FluxCD, ArgoCD, GKE, or EKS. - Hands on software development experience using Go or Python to build automation, platform tooling, Kubernetes controllers, APIs, and infrastructure that reduces manual effort and improves engineering efficiency. - An automation first, data driven mindset with 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. Join Our Team 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. The US base salary range for this full-time position is 112,000.00 USD - 140,000.00 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. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
• Serve as the senior escalation point for complex P1/P2 production incidents, owning cross-system triage and permanent architectural remediation • Lead platform-level architecture reviews for reliability, scalability, security, and operational standards • Identify systemic failure patterns and translate them into architectural changes, design standards, and platform improvements • Own availability, reliability, performance, and scalability of production systems • Define, track, and improve SLOs, SLIs, and operational KPIs • Develop and maintain Terraform infrastructure-as-code solutions, including modules, state management, and governance • Eliminate operational toil through automation, self-service capabilities, and platform tooling • Build and maintain automation frameworks using Bash, PowerShell, and related scripting technologies • Administer and architect Microsoft Azure solutions, with AWS as a secondary platform • Operate Kubernetes in production, including cluster management and platform maintenance • Manage hybrid-cloud environments, virtual machines, networking, and distributed infrastructure • Maintain Datadog observability and PagerDuty alerting configurations • Design infrastructure controls for PCI-DSS, SOC 1/2, and ISO 27001 compliance and support audits • Partner with Engineering, Product, Security, and Operations on CI/CD, releases, and DevOps maturity • Mentor engineers and influence organizational infrastructure design standards
Defining what it means to build and deliver the most extraordinary sports & entertainment experiences.The Crown is Yours
• Drive database reliability across PostgreSQL, MySQL, MongoDB, Redis, ScyllaDB, Aerospike, and managed cloud services • Support high availability, replication, partitioning, storage, and connection management • Develop Kubernetes operators, infrastructure as code, GitOps workflows, and production tooling in Go or Python • Automate provisioning, failover, backups, schema migrations, and lifecycle management • Build self-healing, fault-tolerant infrastructure and internal tooling to reduce operational toil • Optimize database performance and cost across cloud and on-premises environments • Support capacity planning, resource efficiency, storage optimization, workload consolidation, and performance tuning • Partner with application engineering teams on schema reviews, migration strategies, query optimization, connection management, and zero-downtime deployments • Leverage AI for observability, anomaly detection, root cause analysis, documentation, predictive insights, and code evaluation
Role Description This is a remote position. - L1 support (AWS infrastructure/app health Monitoring - No on-prem infrastructure) - Incident Response and Operational support - Acknowledge / Respond to alerts from tools like Splunk, Datadog, Incident tickets etc. - Follow-up runbooks/SOPs - Escalate unresolved issues to L2/L3 team - Track MTTA/MTTR - Basic AWS admin functions (EC2, S3, IDM, Access Control, Backups, Scheduled jobs, restart VMs/services etc.) - Develop and maintain CI/CD pipelines and infrastructure as code (IaC) to support Plume Open Sync Cloud software and infrastructure updates enabling Cellular Backup (CBU) - Troubleshoot and resolve infrastructure and deployment issues - Implement cloud and security best practices to improve reliability and scalability - Collaborate with development and operations teams to optimize deployments - Automate infrastructure provisioning and configuration management - Enhance monitoring and observability using Prometheus, Grafana, and ELK - Document processes and assist in knowledge sharing - Shift handover reporting Company Description
GP Strategies Corporation is one of the world's leading talent transformation providers. By delivering award-winning learning and development solutions, we help organizations transform through their people and achieve meaningful change. GP Strategies has delivered our innovative consulting, learning services, and talent technology solutions to over 6,000 organizations globally. From our global experience working across thousands of projects and initiatives over the past 55 years, we've learned that relationships, business, work, innovation, strategy, and transformation are all about people. And, to put it simply, GP Strategies is about our people - an extensive global network of learning experts. With more than 4000 employees in over 30 countries, diversity at GP Strategies is second nature! Beyond our locations, our culture focuses on performance and revolves around respect, fairness, and working collaboratively to achieve our goals. We support our People, no matter who they are or where they are from, because we all have valuable and unique perspectives and approaches. That's how great ideas are born, which enable us to work smarter. GP Strategies is committed and proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth and related conditions, sexual orientation, and gender identity), national origin, age, veteran status, disability, or any other federally protected class.
Role Description We are seeking an experienced Implementation Engineer to lead the successful deployment of AIQ Ops across GP Strategies and customer environments. As the technical bridge between Product Engineering, Managed Learning Services, Customer Success, and client technology teams, you will be responsible for: - Configuring integrations - Onboarding new customers - Troubleshooting technical issues - Ensuring customers achieve maximum value from the platform This is a highly collaborative and customer-facing role ideally suited to someone who enjoys solving complex technical challenges while delivering measurable business outcomes. Qualifications - Experience implementing SaaS solutions within enterprise environments - Experience integrating cloud applications using REST APIs - Strong understanding of authentication technologies including SSO, OAuth, and SAML - Experience working with Microsoft Azure and Microsoft Entra ID - Strong troubleshooting, analytical, and problem-solving skills - Customer-facing implementation, consulting, or technical delivery experience - Experience working within Agile product and development environments - Excellent stakeholder management and communication skills - Strong written and verbal communication abilities Requirements - Experience implementing Learning Management Systems (LMS) - Experience within Learning & Development technology environments - Microsoft Power Platform knowledge - SQL and reporting experience - Workflow automation experience - Exposure to DevOps and CI/CD practices - AI platform implementation experience - Experience supporting enterprise software deployments Benefits At GP Strategies, growth is more than a business objective—it's our purpose. As an Implementation Engineer, you'll play a key role in deploying AI-powered solutions that transform learning and workforce services for global organizations. This role offers significant opportunities to: - Expand your technical expertise - Strengthen customer engagement skills - Advance your career within a leading learning and talent transformation organization
Role Description Concept Plus is seeking an Infrastructure-as-Code / DevOps Engineer to build the automation backbone for client OCI onboarding — standardized, repeatable Infrastructure-as-Code patterns and pipelines that accelerate tenant provisioning and enforce governance and security by default. - Develop and maintain Terraform and OCI Resource Manager code for standardized onboarding patterns. - Automate provisioning of landing zones, compartments, identity domains, governance controls, and network baselines. - Establish reusable templates for DNS, VCN, interconnects, Cloud Guard, logging, IAM policies, and tagging. - Build CI/CD pipelines and enforce policy-as-code and configuration standards. - Accelerate new tenant provisioning to support client program growth. Qualifications - US Citizen - Expert Terraform and OCI Resource Manager (IaC) experience. - Strong OCI platform knowledge (IAM, networking, Cloud Guard, logging, tagging). - CI/CD tooling and Git-based workflow experience. - Scripting proficiency (Python, Bash, or similar). - Experience enforcing security/compliance guardrails via automation. - Must satisfy client security requirements and obtain/maintain applicable client background investigation and clearance. Requirements - Policy-as-code (OPA/Sentinel) experience. - Multi-cloud IaC experience. - Prior federal/CMS automation experience. - 6+ years DevOps/automation with 3+ years IaC (Terraform) and 2+ years on OCI. HashiCorp Terraform Associate and OCI certifications preferred. Company Description Concept Plus is an Equal Opportunity Employer. As such, we will give your application full consideration without regard to your race, color, religion, sex, age, national origin, disability, veteran status, sexual orientation, gender identity, or any other classification protected by federal, state, or local law.
YouNow is a live streaming community of over 52 million registered users. Our platform is a safe and positive space where broadcasters ages 13 and up can express themselves by creating inspiring content, interact with their fans in real time, and make new social connections. We’re a fast moving and growing team working on a cutting edge social video service that touches millions of users and content creators.
Role Description This is a long term remote opportunity. We are looking for an experienced DevOps engineer to provide vital upgrades and refinement on YouNow’s backend and video cloud infrastructures that broadcasters and their audiences use daily. Because the core of user interactions happen in real time, it is critical that our infrastructure runs smoothly, and as efficiently performance and cost wise as possible. You will be crucial in ensuring our users have an enjoyable experience while using the platform and in facilitating an environment where development, testing, releases and production work can proceed securely, efficiently, and flexibly. Qualifications - English fluency - 5+ years of experience as a DevOps engineer - Experience with networking, properly architecting high availability systems, and security in an AWS context - Expertise in Kubernetes or more specifically EKS and Terraform - Hands on experience with various AWS products and services including Redis, DynamoDB, Redshift (PostgreSQL), Aurora (MySQL), EC2, Elasticache, WAF, DMS, Cloud formation - Familiarity with setting up and maintaining CI/CD pipelines through tools such as ArgoCD and Jenkins - Up to date understanding of best practices regarding system security measures - Experience upgrading existing infrastructure design and components - PHP/Python/Node.js development experience is a huge plus Requirements - Critical thinking, analytical and problem solving abilities - Clear written and verbal communication - Ability to multitask, prioritize, and manage time efficiently - Ownership over own and team’s performance - Proactiveness and initiative - Attention to detail - Give a sh*t Company Description YouNow is a live streaming community of over 52 million registered users. Our platform is a safe and positive space where broadcasters ages 13 and up can express themselves by creating inspiring content, interact with their fans in real time, and make new social connections. We’re a fast moving and growing team working on a cutting edge social video service that touches millions of users and content creators.
Role Description A NiCE AI Forward Deployed Engineer is a highly technical full-stack engineer responsible for designing, building, and deploying AI-driven customer engagement solutions using the NiCE digital and AI portfolio. This role sits at the intersection of software engineering, AI agent development, and customer solution architecture. The engineer works directly with customers and internal stakeholders to translate complex business challenges into intelligent automation solutions across voice and digital channels. - Design and build AI-driven virtual agents that automate customer service workflows across digital and voice channels. - Develop intelligent automation using the NiCE AI and Digital portfolio, including conversational AI, knowledge systems, and omnichannel engagement capabilities. - Architect agent behaviors including intent handling, workflow orchestration, and multi-system interactions. - Continuously refine and evolve agents through iterative testing, model tuning, and performance optimization. - Own the full lifecycle of AI agents from initial design through deployment and ongoing optimization. - Define agent architecture including prompting strategies, knowledge retrieval patterns, and decision logic. - Implement observability, evaluation, and feedback loops to improve agent accuracy, reliability, and business outcomes. - Monitor agent performance and evolve agents to handle increasingly complex customer interactions. - Build integrations between AI agents and enterprise systems including CRM, commerce platforms, knowledge bases, and operational systems. - Develop APIs, services, and orchestration layers enabling agents to perform real business transactions. - Implement multi-step workflows that coordinate API calls across multiple systems of record. - Ensure secure, scalable, and reliable integrations across customer environments. - Build full-stack solutions that support agent interactions including web interfaces, backend services, and integration layers. - Develop prototypes and working applications that demonstrate end-to-end AI automation scenarios. - Create reusable components and frameworks that accelerate development of new AI agent capabilities. - Maintain and enhance demo environments and development environments used for solution innovation. - Partner directly with customers to understand operational challenges and identify opportunities for AI-driven automation. - Translate business requirements into technical architectures and working solutions. - Build prototypes, proof-of-value implementations, and production-ready agent capabilities. - Act as a trusted technical advisor to both business and technology stakeholders. - Collaborate with product, engineering, and sales teams to identify product gaps and innovation opportunities. - Prototype new capabilities that extend the NiCE AI platform. - Provide direct field insights that inform product roadmap and future platform capabilities. - Contribute reusable patterns, integrations, and architectures that improve future deployments. - Design and build advanced technical demonstrations showcasing AI-driven customer experiences. - Develop reusable demo frameworks and environments that illustrate enterprise use cases. - Support sales engineering and presales teams in communicating the value of AI-driven customer engagement solutions. - Enable internal teams with technical knowledge of AI agents, integrations, and platform capabilities. Qualifications - AI & Agent Systems - Large Language Models - Prompt engineering - Agent orchestration frameworks - Retrieval-augmented knowledge systems - Conversational AI architecture - Full Stack Development - Backend services and APIs - Web and conversational interfaces - Integration layers - Data pipelines - Enterprise Integrations - REST APIs and microservices - CRM and business system integrations - Knowledge systems and data stores - Identity and access management Benefits - Join an ever-growing, market disrupting, global company. - Work in a fast-paced, collaborative, and creative environment. - Endless internal career opportunities across multiple roles, disciplines, domains, and locations. - Opportunity to learn and grow every day. Company Description NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime, and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud, and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation, or any other category protected by law.
Role Description As a DevOps Engineer at VELZI AI, you’ll build, maintain, and scale a secure, cloud-native infrastructure across GCP, Azure, and AWS. You’ll work closely with our engineering team to ensure seamless deployment pipelines, reliable environments, and high-performance systems that support our AI and fintech applications. You’ll be the backbone of our infrastructure enabling fast iteration, smooth deployments, and resilient architectures. Tasks - Cloud Infrastructure & Systems - Design, deploy, and maintain cloud infrastructure across GCP, Azure, and AWS - Manage and optimize compute environments including Virtual Machines, Cloud Run, and container orchestration platforms - Architect scalable, multi-region solutions with high availability, redundancy, and strong security practices - Manage and monitor cloud storage solutions such as GCP Cloud Storage, Azure Blob Storage, and AWS S3 - Containers, Orchestration & Scaling - Build, deploy, and manage containers using Docker - Deploy and manage services on Kubernetes (GKE / AKS / EKS) - Implement auto-scaling strategies, load balancing, and autoschedulers - Optimize resource utilization and cost efficiency across environments - CI/CD, Automation & Deployment - Build and maintain CI/CD pipelines (GitHub Actions, GitLab, or similar) - Automate deployments, updates, rollbacks, and environment provisioning - Create infrastructure-as-code using tools like Terraform or Pulumi - Push our platform toward full automation and self-healing systems - Networking, Security & Integrations - Configure VPCs, VPNs, firewalls, DNS, subnets, and secure routing - Ensure secure API communication between our Next.js app and backend services - Implement monitoring, logging, and alerting systems (Prometheus, Grafana, Cloud Logging, Azure Monitor, CloudWatch, etc.) - Ensure compliance, data protection, and identity management across clouds - Work with Firebase Authentication, secure API gateways, and IAM policies - Backend, APIs & System Support - Collaborate with engineers to support API creation and deployments - Optimize performance of server environments running in Cloud Run or VMs - Implement failover systems, disaster recovery, and backup strategies - Ensure reliable operation of services including SES / SendGrid, databases, and microservices - Collaboration & Reliability Engineering - Work closely with backend, AI, and product teams to support rapid iteration - Establish DevOps best practices, guidelines, and internal documentation - Conduct root-cause analysis, implement fixes, and prevent future incidents - Help shape the engineering culture by improving processes, scalability, and system observability Qualifications - Proven experience as a DevOps Engineer, Cloud Engineer, or Site Reliability Engineer - Strong experience with GCP, Azure, and/or AWS (multi-cloud experience is a huge plus) - In-depth knowledge of Kubernetes, Docker, Cloud Run, and container-based application delivery - Experience with CI/CD tooling and automation frameworks - Solid understanding of networking, firewalls, DNS, and cloud security models - Experience with VM deployment, Cloud Run (or similar), autoscaling, and infra optimization - Strong understanding of cloud storage solutions (Blob, S3, Cloud Storage) - Experience with Authentication, IAM, or identity systems is a bonus - Understanding of API architecture, microservices, and distributed systems - Experience with Terraform, Pulumi, or other infrastructure-as-code tools - Bonus: Experience with observability stacks, FinOps cost optimization, or AI infrastructure - You’re a problem-solver who thrives in fast-moving environments - You’re comfortable owning systems end-to-end and improving processes proactively - You're collaborative, communicative, and enjoy cross-functional teamwork Benefits - Remote-first & flexible – Work from wherever you do your best work - Cutting-edge tech – Work with AI, automation, and the latest dev tools - Rapid growth – Be part of an early-stage rocket ship - Collaborative culture – Join a team that values innovation, autonomy, and teamwork - Competitive salary & equity – Get well-compensated with generous stock options - Career advancement – As we scale, so do your opportunities
• Build and maintain automated infrastructure workflows in Terraform (IAM, EKS, EMR, Lambda, S3, KMS, RDS, security groups) including modules, remote state, and drift management • Own and improve GitLab CI/CD pipelines: automated testing, security scanning, and safe/staged promotion with rollback • Manage Kubernetes on EKS via Helm, including GitLab runners with KEDA • Support AI/agentic workloads, Bedrock AgentCore runtimes, gateways, memory, and identity; MCP servers; agent deployment and observability • Provision and manage AWS Bedrock access (least-privilege IAM, model enablement, cost/usage monitoring) • Handle access management and change requests within SOC 2 controls — least privilege, auditability, no console drift • Operate Elasticsearch/OpenSearch and SFTP data pipelines; contribute to cost optimization and AI-assisted DevOps automation (agent skills, runbooks, self-service tooling)
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Kubernetes, Terraform, AWS, Cloud, Azure, DNS
