DevOps Engineer Remote Jobs in Virginia (US)
This page tracks remote devops engineer openings that are location-eligible for Virginia.
This page tracks remote devops engineer openings that are location-eligible for Virginia.
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Tieto Tech Consulting (MentorMate from 2001 to 2026) provides design-led, data-centric, and AI-powered digital engineering & consulting services to enterprises worldwide.
Role Description Tieto Tech Consulting is looking for a highly skilled and motivated Middle/Senior DevOps Engineer (OpenShift, On-Prem) to join a project within a Telecom Team for our client BICS. - Engage with business stakeholders to gather requirements and design solutions that align with engineering standards and support business needs. - Design, implement, and manage Red Hat OpenShift clusters in on-premises (physical and virtualised) environments. - Take ownership of systems engineering projects related to OpenShift infrastructure. - Collaborate with development teams to containerize applications and optimize deployment and release workflows. - Build and maintain CI/CD pipelines using OpenShift and associated DevOps tools. - Automate operational and deployment tasks using Ansible and other scripting tools. - Perform patching and upgrades of OpenShift clusters, ArgoCD, GitLab CI, and related components in compliance with change-management procedures. - Design, implement, and maintain backup, disaster recovery, and redundancy strategies. - Participate in on-call / standby rotation to support critical platform and infrastructure services and ensure service continuity. - Support daily operations including trend analysis, root cause analysis, monitoring, troubleshooting, and resolution of platform issues to ensure high availability and reliability. - Implement and enforce security best practices, including RBAC, vulnerability management, and compliance controls. - Improve alerting, monitoring, and observability capabilities across OpenShift and related systems. - When OpenShift-related workload is limited, perform general system administration activities, including Linux server administration, infrastructure maintenance, and support of data center services as part of the infrastructure team. - Produce and maintain up-to-date documentation, including architecture diagrams, operational procedures, and runbooks. - Provide knowledge transfer, mentoring, and training to colleagues on OpenShift, GitLab, and related infrastructure technologies. Qualifications - 4+ years of relevant professional experience or equivalent certifications (including Red Hat OpenShift), with at least 4 years in IT infrastructure or platform engineering. - Proven hands-on experience deploying, operating, and maintaining OpenShift / Kubernetes platforms in enterprise or on-premise environments. - Strong experience with CI/CD pipelines, particularly using GitLab CI and/or Jenkins. - Solid background in Linux system administration, especially Red Hat Enterprise Linux (RHEL), including design and maintenance of enterprise Linux infrastructure. - Practical experience with infrastructure automation using Ansible or similar tools. - Scripting skills using Bash and/or Python for automation and operational tasks. - Experience with GitOps practices and tools such as ArgoCD or Flux. - Ability to document architectures, configurations, and standards, and to develop and maintain SOPs and technical documentation. - Upper-intermediate level of English (both spoken and written). Requirements - Bachelor’s degree in IT, Engineering or Computer Science (will be an advantage). - Familiarity with Infrastructure as Code tools such as Terraform is a plus. - Experience working with virtualization platforms (e.g., VMware) is an advantage. - Knowledge of ITIL Service Operations principles. - Experience with ArgoCD, monitoring/observability stacks (Prometheus, Grafana, etc.), or disaster recovery tooling (optional but valuable). Personality & Soft Skills - Solution-oriented mindset. - Strong analytical and technical problem-solving abilities. - Ability to work autonomously with minimal guidance, operate at multiple levels of abstraction, and handle ambiguity effectively. - Ability to understand business drivers, stakeholder expectations, and translate them into technical solutions. - Ability to balance strategic considerations with operational practicality. - Excellent communication and collaboration skills; capable of influencing, guiding, and leading distributed technical teams. - Ability to produce high-quality architectural documentation and visual design diagrams (e.g., Visio). - Passionate about technology and its impact on business outcomes. - Highly motivated team player with a “can-do” attitude, dedication, transparency, and integrity. - Comfortable working in a multicultural, international environment. Additional Information At Tieto, we believe in the power of diversity, equity, and inclusion. We encourage applicants of all backgrounds, genders (m/f/d), and walks of life to join our team, as we believe that this fosters an inspiring workplace and fuels innovation. Our commitment to openness, trust, and diversity is at the heart of our mission to create digital futures that benefit businesses, societies, and humanity. - Diversity, equity and inclusion | Sustainability | Tieto - Stay alert to recruitment scams: - Tieto only communicates via @tieto.com email addresses. - We never ask candidates to pay fees or share financial details during recruitment. - If you receive a suspicious message claiming to be from Tieto, don't respond — verify it via our official careers site.
Role Description As a Ping Identity Site Reliability Engineer, you will be involved in every facet of our Cloud-based services. You will establish solutions for building, deploying, and maintaining the infrastructure of one of the largest identity platforms in the world. We follow a DevOps model: Development and Operations teams are integrated, running continuous deployments daily, and the teams collaborate in the solution's development, deployment, and operations. - Work collaboratively and independently to design and deliver solutions as well as review and provide feedback for those delivered by other engineers for our software and services on our cloud hosted production infrastructure. - Shape how our mission-critical enterprise software solutions are developed and deployed using optimized and automated CI/CD pipelines that ensure high quality products. - Help design, build and support infrastructure and security technologies within the cloud that offer resiliency, observability and optimized cost. - Communicate proactively and effectively to different kinds of audiences within the company. Share your own experience, knowledge and expertise with others to help them grow and develop. - Participate in planning work and identify areas of improvement. - Perform technology evaluation and selection. - Participate in an on-call rotation for maintenance of the cloud solutions. Qualifications - Experience in scalable, distributed systems architecture. - Experience with Cloud Platforms. - Experience of programming using Go. - Experience with containerization technologies, including Docker. - Experience with orchestration technologies, including Kubernetes. - Experience defining and implementing automated service deployments, including provisions for networking, security, reliability, management, reporting, and configuration management. - In-depth understanding of best practices for deployment automation. - Experience using Git in a team environment (pull requests, branching, push, and pulls). - CS Degree or equivalent experience. Requirements - You will have an advantage if you have an in-depth understanding of networking, including routing, naming, security, network performance, and network failure modes. - You have an in-depth understanding of identity and access management. - You have experience with instrumentation and management of automated deployments. - You have experience resolving customer deployment issues. - You have worked with distributed teams. - You understand CI/CD processes, and have some experience building CI/CD pipelines. Benefits - Generous PTO & Holiday Schedule. - Parental Leave. - Progressive Healthcare Options. - Retirement Programs. - Opportunity for Education Reimbursement. - Commuter Offset (Specific locations).
Role Description We are hiring a Senior Database Reliability Engineer to join the Infrastructure DBA cell. This is a hands-on production ownership role, not a narrow ticket-processing DBA position. You will keep critical database services reliable, automate repeated work, support engineering teams, and reduce single-person dependency in our PostgreSQL, ClickHouse, MongoDB, and Redis operations. PostgreSQL is the main requirement. ClickHouse experience is a strong plus, but it is not a day-one blocker. We need a senior engineer with enough database, Linux, automation, and incident-response depth to learn our ClickHouse environment quickly and operate it safely. Your Responsibilities - Own production PostgreSQL reliability: HA design, Patroni, PgBouncer, replication, failover, upgrades, vacuum/bloat control, query tuning, locks, indexes, capacity, backups, PITR, and restore validation. - Improve disaster recovery and operational evidence: tested restores, documented recovery paths, measurable RTO/RPO targets, runbooks, and safe maintenance plans. - Support the wider database estate: ClickHouse, MongoDB, and Redis. Troubleshoot incidents, review access and data-safety changes, improve monitoring, and learn the production ClickHouse patterns already in use. - Automate DBA workflows with Ansible, Terraform/OpenTofu, GitLab CI/CD, scripts, and reproducible runbooks for provisioning, grants, backups, restores, health checks, and ownership metadata. - Help build DBaaS-style self-service capabilities for engineering teams to request databases, access, credentials, and operational checks with less manual DBA intervention. - Improve observability and incident response through Grafana, metrics, logs, SLOs, alert rules, Opsgenie routing, and clear communication during production issues. What Success Looks Like - PostgreSQL clusters have tested backup and restore paths, useful dashboards, clear ownership, and documented failover procedures. - Repeated DBA tickets become automation or self-service workflows. - ClickHouse operational knowledge is no longer a single-person dependency. - Database incidents have owners, runbooks, evidence, and measurable recovery paths. - Product and engineering teams get database help faster without sacrificing safety, auditability, or reliability. What We Expect From You - Deep hands-on PostgreSQL experience in business-critical production environments, typically 5+ years or equivalent depth. - Strong understanding of PostgreSQL internals and operations: MVCC, WAL, transactions, locks, indexes, query planning, replication, autovacuum, bloat, major upgrades, backups, PITR, and restore testing. - Proven experience with highly available databases and the ability to reason about quorum, split-brain risk, failover, rollback, and recovery. - Strong Linux and infrastructure fundamentals: systemd, networking, storage, filesystems, CPU/memory/disk bottlenecks, TLS, DNS, firewalls, and root-cause troubleshooting. - Automation skills with Ansible and scripting. Terraform/OpenTofu, GitLab CI/CD, and merge-request based delivery are strong advantages. - Ability to support more than one database engine. Ready to learn ClickHouse quickly and take responsibility for it. - Practical use of AI engineering assistants such as Claude and Codex to improve speed and quality, while personally verifying generated SQL, commands, scripts, and operational conclusions. - English - upper-intermediate or higher - to ensure clear communication of progress within the teams. Nice to Have - ClickHouse operations: replication, Keeper/ZooKeeper, MergeTree engines, distributed DDL, grants, row policies, backups, query troubleshooting, and cluster recovery. - MongoDB replica sets and Percona Backup for MongoDB. - Redis/Sentinel and broker/cache failure modes. - Database observability, SLOs, golden signals, alert tuning, and executable incident runbooks. - Building internal platforms, self-service portals, or DBaaS workflows for engineering teams. Benefits - A focus on professional development. - Interesting and challenging projects. - Fully remote work with flexible working hours, allowing you to schedule your day and work from any location worldwide. - Paid 24 days of vacation per year, 10 days of national holidays, and unlimited sick leaves. - Compensation for private medical insurance. - Co-working and gym/sports reimbursement. - Budget for education. - The opportunity to receive a reward for the most innovative idea that the company can patent.
Role Description We are looking for a DevOps / Senior Cloud Infrastructure Engineer to join us on a freelance basis to build the observability and incident management backbone for autonomous kitchen operations. - Timeline: 4-5 month project - FTE: full time - Location: remote Qualifications - Senior-level experience as an AWS Cloud Engineer or Site Reliability Engineer. - Strong, demonstrable focus on metric-driven observability, monitoring, and alerting at scale. - Fluent, hands-on experience in Python for tooling and automation. - Hands-on experience with Terraform for Infrastructure as Code. - A proven track record of designing, architecting, and owning production systems end-to-end. - Ability to work completely independently without a detailed spec sheet or heavy direction. - Experience with Jira Service Management or similar ITSM/incident platforms is a plus. - Experience with Grafana dashboarding pipelines at scale is a plus. - Exposure to AI-assisted ops tooling (AI-Ops, runbook automation) is a plus. - Prior experience in a fast-moving hardware, robotics, or IoT fleet environment is a plus. Requirements - Standardize and own the Tech Ops Incident Management Platform using Jira Service Management across our production fleets. - Automate incident resolution workflows with AI tooling, including runbook generation and assignment. - Design and implement proper documentation for all Tech Ops incident processes to ensure a clean handover. - Build out fleet management and task automation to support global 24/7 remote operations. - Own and customize the data-driven observability layer via Grafana across all internal tech teams. - Work closely with key leadership stakeholders (Head of Infrastructure & Cloud, VP Engineering) to independently drive architecture decisions. Company Description
Role Description We are seeking an experienced Site Reliability Engineer (SRE) to join our team. As an SRE, you will play a critical role in ensuring the stability and reliability of our platform, as well as supporting our development teams in creating and deploying new features. This position offers an opportunity to make a significant impact and contribute to the growth and success of our organization by enhancing our infrastructure and optimizing our processes. What You Will Do - Collaborate with development teams to design and implement scalable Infrastructure. - Collaborate with development teams to design and implement automated deployment and testing pipelines. - Develop and maintain monitoring and alerting systems to proactively identify and address issues. - Troubleshoot and escalate production incidents to minimize downtime and improve system reliability. - Continuously improve our infrastructure and processes to optimize scalability and efficiency. - Participate and take ownership for on-call rotations as needed to ensure 24/7 support for our application. - Perform routine maintenance and upgrades as needed to keep our systems up to date. - Contribute to ongoing efforts to improve our security posture and compliance with industry standards. - Communicate complex technical concepts clearly and concisely to both technical and non-technical stakeholders in order to make the right decision. - Mentor and coach junior engineers, fostering their professional growth and enabling them to deliver high-quality work. - Stay up-to-date with the latest advancements and trends in site reliability engineering and share knowledge and insights with the team. - Identify opportunities for organizational enhancements and propose alternatives to optimize team structures and execution. Qualifications - Bachelor’s degree in Computer Engineering, Computer Science, or related field. - 5+ years of experience in a similar role, preferably with experience in a high-traffic, high-availability environment. - Proficiency in at least one programming language (Python, Ruby, Java, Go, etc.). - Strong understanding of cloud infrastructure and related technologies (AWS, GCP, Azure, Kubernetes, Docker, etc.). - Excellent troubleshooting and problem-solving skills. - Experience with one or more automation and configuration management tools (Chef, Ansible, Puppet, Terraform, etc.). - Familiarity with monitoring and alerting tools (Prometheus, Grafana, Nagios, etc.). - Strong communication and interpersonal skills, enabling effective collaboration with cross-functional teams. - Ability to navigate ambiguity, set clear expectations, and thrive in a fast-paced, dynamic environment. - A strong grasp of computer science fundamentals when it comes to dealing with distributed systems and networks. Who Will Excel - Experience or familiarity with running, tuning, and optimizing databases and queries. - Prior experience in a leadership or senior-level role within site reliability engineering. - Familiarity with other backend technologies and frameworks. - Experience in driving technical decisions and implementing positive organizational changes. Benefits - Inclusive and Diverse Environment: We foster an inclusive and diverse workplace that values innovation and offers remote environments. - Competitive Compensation: Our compensation packages are highly competitive and include potential share options for certain roles. - Personal Growth and Development: We are committed to your personal and professional growth, providing regular training and an annual learning stipend to help you advance your career in a dynamic environment. - Autonomy and Mentorship: You'll enjoy a high degree of autonomy in your role, supported by mentorship and ambitious goals that pave the way for both your success and the company's growth.
Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary.
Role Description As a Senior Service Reliability Engineer (SRE) you will take a multifaceted approach to ensure technical excellence and operational efficiency within the infrastructure domain. Specializing in reliability, resilience and system performance, you take a lead role in championing the principles of Site Reliability Engineering. By strategically integrating automation, monitoring and incident response, you facilitate the evolution from traditional operations to a more customer-focused and agile approach. Emphasizing shared responsibility and a commitment to continuous improvement, you cultivate a collaborative culture, enabling organizations to meet and exceed their reliability and business objectives. Job Responsibilities - Improve site reliability by building mechanisms/architectures that enable fault tolerance and faster median time to respond and median time to detect. - Drive the integration of observability automation into the CI/CD pipeline. - Handle production incidents, manage incident communication with clients and draft root cause analysis documents. - Monitor performance of production systems and improve their scaling to ensure business goals are met within expected SLA and SLO metrics. - Work closely with application development teams as advisors on improving system reliability and assisting in implementation for reliability improvements. - Improve system observability across multiple facets such as logging and metrics, reducing false alarms to eliminate unnecessary toil and improving process efficiency. - Implement chaos engineering practices as necessary to test system reliability, setting up processes for such testing to be done regularly. - Have a clear understanding of client goals and business needs and set direction for site reliability in line with the same, e.g.: Achieving application availability with minimum/no disruption (99.999%) if necessary for business. Qualifications - Hands-on experience in programming and scripting languages such as Python, Go or Bash. - Good understanding of at least one Public Cloud, e.g.: AWS, Azure or GCP. - Exposure to observability tools such as Grafana, Datadog, NewRelic, ELK Stack, Dynatrace or equivalent and proficiency in using data from these tools to dissect and identify root causes of system and infrastructure issues. - Familiarity with DevOps and GitOps practices. - Good knowledge of container-based architecture and orchestration tools such as Kubernetes, AWS EKS, Docker Swarm, Nomad, etc. - Understanding of technical architecture and modern design patterns, including microservices, serverless functions, NoSQL and RESTful APIs, with experience in fixing bugs, analyzing logs, building metrics and operational dashboards. - Familiarity with creating infrastructure resources for improving reliability of system that follows Cloud’s Well Architected Framework principles: Reliability, security, cost optimization, performance efficiency and operational. Requirements - Strong communication and articulation skills, proficient in English. - Good people skills with an emphasis on negotiation and close collaboration with multiple cross-functional teams from the client side and/or Thoughtworks. - Ability to solve challenging problems and difficult to debug issues with a never give up attitude. - Ability to work under pressure and with composure during production incidents. - Confidence to recommend improvements backed by strong technical arguments to client stakeholders or application development teams. - Ability to understand requirements provided by the client on both technical and business aspects and break them down for successful implementation. - Strong drive and ownership mentality, with a willingness to sign up for and deliver work when called upon, without being too concerned about role boundaries. - Willingness to be part of a rotation- and need-based 24x7 available team. Benefits - No one-size-fits-all career path at Thoughtworks; career development is entirely up to you. - Support for career development through interactive tools, numerous development programs, and teammates who want to help you grow. - Value in helping each other be our best, extending to empowering employees in their career journeys.
Koniag Government Services (KGS) is an Alaska Native Owned corporation supporting the values and traditions of our native communities through an agile employee and corporate culture that delivers Enterprise Solutions, Professional Services and Operational Management to Federal Government Agencies.
Role Description Koniag Data Solutions, LLC (KDS) is seeking an experienced DevOps Engineer to support next-generation cloud infrastructure, modernization, and cybersecurity automation efforts for the Administration for Children and Families (ACF), a U.S. Department of Health and Human Services component. The ideal candidate is a technically proficient, collaborative team member with hands-on experience in GitLab, CI/CD pipelines, Infrastructure as Code (IaC), multi-cloud environments, and security automation. The DevOps Engineer (Next Generation Cloud) will perform a key technical role supporting ACF cloud modernization, cybersecurity, operational resilience, and mission delivery. - Design, implement, and maintain GitLab CI/CD pipelines that automate build, test, security validation, and deployment workflows. - Develop and manage Infrastructure as Code (IaC) solutions using Ansible, AWS CloudFormation, Terraform, or related technologies to provision and configure cloud resources consistently. - Engineer, deploy, and manage secure, scalable cloud infrastructure across AWS and Azure environments, with emphasis on availability, resiliency, and repeatable delivery. - Support continuous Authorization to Operate (cATO) and automated ATO processes by automating compliance checks, evidence collection, assessment workflows, and use of pre-configured templates. - Integrate and operationalize security and compliance telemetry from tools such as Splunk, Tenable, and CrowdStrike to support continuous monitoring, automated compliance validation, and remediation tracking. - Support ingestion, normalization, and use of compliance data from FedRAMP, StateRAMP, SOC 2, and related sources within authorization and continuous-monitoring workflows. - Maintain cloud configuration-management processes, approved baselines, and version-controlled environment configuration standards. - Provide engineering support for continuous cybersecurity operations, including technical enablement of 24x7 security monitoring, event-log management, alerting, dashboards, and reporting. - Support incident-response activities by developing or maintaining automation, integrations, and infrastructure capabilities used for containment, eradication, recovery, and post-incident analysis. - Implement and improve analytics and automation capabilities, including AI-enabled approaches where approved, to enhance threat detection, triage, and operational efficiency. - Produce and maintain event-log management reports and supporting artifacts consistent with applicable federal requirements, including OMB M-21-31. - Collaborate with development, security, cloud architecture, and operations teams to integrate DevSecOps practices throughout the software delivery lifecycle. - Monitor, troubleshoot, and optimize cloud infrastructure and pipeline performance; resolve complex issues in a timely and effective manner. - Develop and maintain technical documentation, including runbooks, architecture diagrams, standard operating procedures, configuration records, and operational playbooks. - Participate in Agile ceremonies and evaluate tools, technologies, and processes that improve DevOps, cloud operations, security automation, and system onboarding. Qualifications - Bachelor's degree in Computer Science, Information Technology, Systems Engineering, or a related field from an accredited college or university. - 5+ years of experience in a DevOps, Cloud Engineering, or related technical role. - Hands-on experience with GitLab for source control management and CI/CD pipeline development. - Demonstrated experience working with AWS and/or Azure cloud platforms. - Practical experience with Infrastructure as Code tools, including Ansible and AWS CloudFormation. Requirements - Exceptional written and oral communication skills in English, with the ability to communicate effectively with technical and non-technical stakeholders. - Proficiency in designing, building, and maintaining CI/CD pipelines using GitLab CI/CD. - Strong experience with IaC tools, including Ansible and AWS CloudFormation; experience with Terraform is also beneficial. - Hands-on experience provisioning, configuring, and managing AWS and/or Azure cloud resources. - Experience with version control and branching strategies using Git and GitLab. - Experience integrating, supporting, or consuming data from security and observability tools such as Splunk, Tenable, CrowdStrike, CloudWatch, or equivalent platforms. - Working knowledge of continuous monitoring, cATO/automated ATO concepts, security evidence automation, and federal compliance processes. - Knowledge of NIST SP 800-53, NIST SP 800-37, FIPS 199, FedRAMP, and related cloud-security requirements. - Knowledge of containerization and orchestration technologies such as Docker and Kubernetes. - Experience with scripting languages such as Bash, Python, or PowerShell to support automation tasks. - Familiarity with cloud-security practices, including IAM, secrets management, network-security configurations, logging, and auditability. - Ability to troubleshoot complex infrastructure, pipeline, and security-integration issues across multi-cloud environments. - Familiarity with Agile Development Methodology, especially Scrum. - Ability to work in a team environment under the direction of a technical lead. - Ability to obtain a Public Trust Clearance. Desired Skills and Competencies - Experience working in a federal government IT environment. - AWS Certified DevOps Engineer, AWS Solutions Architect, or equivalent cloud certification. - Microsoft Azure certification, such as Azure DevOps Engineer Expert or Azure Administrator. - Experience with GitLab Ultimate features, including security scanning, DAST/SAST, and compliance pipelines. - Experience automating compliance evidence collection, security-control validation, POA&M tracking, or continuous-monitoring workflows. - Familiarity with event-log management and reporting practices aligned to OMB M-21-31. - Experience with monitoring and observability tools such as CloudWatch, Datadog, Prometheus, Grafana, or equivalent platforms. - Experience with secrets-management tools such as HashiCorp Vault or AWS Secrets Manager. - Knowledge of Zero Trust principles and their application in cloud environments. - Experience supporting cloud migration or modernization projects within a government or enterprise setting.
Role Description Zur Verstärkung unseres technischen Customer Application Development Teams suchen wir eine:n DevOps Engineer (m/w/d) zum nächstmöglichen Zeitpunkt der/die nicht nur mitarbeiten, sondern den Bereich aktiv mitgestalten möchte. - Du arbeitest gemeinsam mit Backend- und Frontend-Entwickler:innen und bist verantwortlich für den Betrieb der Webapplikationen. - Du hilfst bei der Automatisierung unserer Prozesse und optimierst das Configuration Management mit Hilfe von CI/CD Pipelines. - Du benutzt Kubernetes as a Service und konfigurierst mit Docker-Containern und Helm-Charts die Deployments. - Du kümmerst dich um die Sichtbarkeit und Überwachbarkeit von Applikationen. - Du hilfst dem Team, eine positive Entwickler-Erfahrung zu schaffen - während der Entwicklung und mit Hilfe von Debugging tools. - Du integrierst neue Features in unsere Backends und erweiterst die Features bestehender Produkte. Qualifications - Du hast ein abgeschlossenes Studium im IT-Bereich oder eine IT-Ausbildung mit entsprechender Berufserfahrung. - Du besitzt gute Kenntnisse im Bereich Linux. - Du kennst dich mit Kubernetes und Docker aus. - Du hast idealerweise gute Kenntnisse bei der Anwendung von Programmiersprachen (Ruby, Go, Bash, PHP). - Du kennst dich mit gängigen Datenbanken aus (MariaDB, MySQL, Clickhouse). - Du hast Interesse und Freude an neuen Technologien und komplexen Lösungen. - Du verfügst über fließende Deutschkenntnisse in Wort und Schrift. - Du verstehst dich als zuverlässige:n Teamplayer:in mit starkem Fokus auf den gemeinsamen Erfolg. Benefits - Gaming im Herzen: Wir bieten kostenlose Nitrado Game Server für Gamer und eine einladende Community für alle, die sich wohlfühlen möchten, selbst wenn du kein/e Gamer:in bist. - Vertrauensarbeitszeit: Passe deine Arbeitszeiten an deine persönlichen Bedürfnisse an, um eine bessere Work-Life-Balance zu erreichen. - Remote Work: Unsere agilen Teams arbeiten Hand in Hand von ihrem bevorzugten Standort aus zusammen, sei es in unseren modernen Büros in Karlsruhe oder Berlin oder vollständig remote. - Work from Abroad: Erweitere deinen Arbeitsbereich über die nationalen Grenzen hinaus mit unserer Remote-Work-Lösung aus dem Ausland. - Mentale Gesundheit: Wir unterstützen deine mentale Gesundheit durch unseren jährlichen Mental Health Day. - Physische Gesundheit: Unsere Büroinfrastruktur bietet modernste Arbeitsplätze mit ergonomischem Design. - Weiterbildung: Nutze Fort- und Weiterbildungen, um Deine Fähigkeiten weiterzuentwickeln und auf dem neuesten Stand zu bleiben. - Betriebliche Altersvorsorge: Wir unterstützen Deine finanzielle Sicherheit für die Zukunft mit einem attraktiven Zuschuss. - Arbeitsumfeld: Bei uns erlebst du ein respektvolles und freundliches Arbeitsumfeld, geprägt von Transparenz und einer familiären Unternehmenskultur. - Urlaub und bezahlte Freizeit: Genieße 30 Tage Urlaub und bezahlten Sonderurlaub zu besonderen Anlässen. - Internationale Zusammenarbeit: Als internationales Unternehmen überwinden wir erfolgreich Zeitzonen und Sprachbarrieren. - Soziale Aktivitäten: Stärke Dein Engagement und den Teamzusammenhalt durch Team-Building-Events. - Langjährige Stabilität: Mit über zwei Jahrzehnten Erfahrung sind wir ein verlässlicher Arbeitgeber für unsere Mitarbeiter:innen. - Get together: Wer arbeitet, kann auch feiern - Wir kommen regelmäßig für unsere Firmenfeier zusammen. - Firmenkultur und Werte: Du wirst Teil einer positiven Unternehmenskultur, die Werte wie Diversität und Inklusion lebt.
FICO is an analytics company helping businesses make better decisions that drive higher levels of growth and success.
Role Description As a Lead ML Ops/DevOps Engineer on our Generative AI team, you’ll be at the cutting edge of language model applications, building innovative solutions across key areas of the FICO platform—including fraud detection, decision automation, workflow orchestration, and system optimization and also internal productivity. You will deploy production systems, troubleshoot operational issues, and integrate services at scale. You’ll have the opportunity to make a measurable impact by bringing next-generation AI capabilities into production, collaborating with a world-class team to build robust, scalable infrastructure and accelerate innovation across FICO’s platform. What You’ll Contribute - Design, build, and maintain scalable, resilient data and ML pipelines, infrastructure, and workflows using tools such as Terraform, GitHub Actions, ArgoCD, Helm, and others. - Automate infrastructure provisioning and configuration management using cloud-native services (preferably AWS) with tools like Terraform, CloudFormation. - Design, containerize, and manage Kubernetes (EKS) clusters and/or ECS environments in AWS. - Collaborate with development teams to optimize performance, deployment, and cost. - Partner with DevOps and SRE teams to ensure high availability, observability, scalability, and security of the data and ML infrastructure. - Work closely with Data Scientists and ML Engineers to operationalize machine learning models, including building CI/CD pipelines for model training, validation, and deployment. - Implement observability for data pipelines and ML services using tools like Prometheus, Grafana, Datadog, or similar. - Develop and maintain automated pipelines for model retraining, monitoring drift, and versioning in production. - Support experimentation and prototyping in areas such as Machine Learning and Generative AI, transitioning successful prototypes into production systems. - Ensure cloud infrastructure is secure, compliant, and cost-efficient, following best practices in governance, identity, and access management. Qualifications - 8+ years of experience in DataOps, MLOps, or related fields, with 3+ years focused on ML model operationalization and workflow automation. - Proficient in AWS services including EC2, S3, IAM, ACM, Route 53, CloudWatch, EKS, and ECS. - Experience with infrastructure as code (IaC) tools such as Terraform, CloudFormation, and Helm. - Familiarity with CI/CD for ML pipelines, GitOps practices, and tools like GitHub Actions, Jenkins, or Argo Workflows. - Strong scripting and automation skills using Python, or GitHub workflows. - Solid understanding of observability and monitoring tools (e.g., Prometheus, Grafana, Datadog, or OpenTelemetry). - Solid understanding of security best practices for cloud and Kubernetes environments, including secrets management, identity & access control, and policy enforcement. - Strong understanding with data governance, lineage, and metadata management is a plus. - Excellent collaboration and communication skills, with a proven ability to work effectively in cross-functional, globally distributed teams. - A bachelor’s degree in computer sciences, or a related discipline, or equivalent hands-on industry experience. Benefits - An inclusive culture strongly reflecting our core values: Act Like an Owner, Delight Our Customers and Earn the Respect of Others. - The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences. - Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so. - An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie. - The targeted base pay range for this role is: $140,000 to $220,000 with this range reflecting differences in candidate knowledge, skills and experience.
Role Description - Ensure that all operations are compliant with industry standards and regulations, such as HIPAA, CMS, and payer policies. - Monitor and analyze key performance indicators (KPIs) and metrics to evaluate the efficiency and effectiveness of the operations. - Identify and implement process and workflow improvements and best practices to optimize the revenue cycle management. - Facilitate onboarding, training and provides feedback to associates. - Resolve any issues or escalations related to the revenue cycle management processes. - Collaborate with other departments and stakeholders to ensure alignment and coordination of the revenue cycle management goals and objectives. - Prepare and present reports on the revenue cycle management performance and progress. Qualifications - Bachelor's - Equivalent experience will be considered in lieu of a degree. - Minimum of 1 year of experience. Requirements - Not Specified Benefits - Competitive benefits package. Work Environment - Well-lit - Remote - Noise Level - Quite - Climate Controlled Physical Demands - Sitting - Standing - Extended Computer Usage - Walking Compensation For this US-based position, the base pay range is $53,606.00 - $79,233.51 per year. Individual pay is determined by role, level, location, job-related skills, experience, and relevant education or training.
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