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Job Description Job Description The future of aerospace and defense starts here. Ursa Major was founded to revolutionize how America and its allies access and apply high-performance propulsion, from hypersonics to solid rocket motors, satellite maneuvering and launch. We design and deliver propulsion and defense systems that solve the most urgent and critical national security demands. Ursa Major is bringing a new model to propulsion and defense technology: one where performance and access are no longer constrained by legacy systems. We design, build, and deploy advanced propulsion systems that power national security missions, hypersonic capabilities, and the future of space access. Our mission requires an extraordinary team-one that will mold tomorrow's critical technologies while deploying today's best. We are an intrinsically motivated team with a passion for solving complex technical problems and empowering each other every day, knowing that there is always room for growth. As a Principal DevOps Engineer within our Digital Operations team, you won't just be managing servers or responding to deployment tickets. You will be a principal technical leader and system architect responsible for owning and shaping Ursa Major's platform engineering, infrastructure automation, and software deployment strategies across cloud, on-premise, and manufacturing environments. Sitting at the vital intersection of Software Engineering, IT, Zero-Trust Networking, Digital Manufacturing, and Cybersecurity, you will build the foundational platforms that empower our engineering and manufacturing teams to design, test, and deliver mission-critical systems faster and more reliably. As Ursa Major expands, you will decompose complex technical challenges, author clear architecture designs, and drive pragmatic, high-impact solutions that connect our cloud environments directly to physical manufacturing and test-bench hardware. Responsibilities: Platform Architecture & Developer Experience Lead the research, design, and continuous improvement of platform infrastructure, software deployment, and Developer Experience (DX) across the enterprise. Decompose complex infrastructure problems into maintainable systems; author clear technical design documents and lead cross-functional teams through execution. Act as a strategic connector between Software Engineering, IT, and Networking to unify tooling, share infrastructure patterns, and eliminate operational silos. Infrastructure-as-Code (IaC), GitOps & High Availability (HA) Advance our declarative Infrastructure-as-Code (IaC) and GitOps practices (using Terraform, Helm, and ArgoCD/Flux) to deliver fully automated, drift-free application lifecycles across Azure GovCloud and AWS GovCloud. Extend containerization and orchestration (Kubernetes, Docker) beyond cloud environments into on-premise test benches, shop-floor PCs, and edge manufacturing hardware in alignment with our CMMC Level 2 hybrid strategy. Own Disaster Recovery (DR) and Business Continuity (BC) architecture-maintaining automated backup and failover capabilities that keep critical system recovery times measured in minutes, not days. DevSecOps & AI Pipeline Integration Partner with Cybersecurity and Zero-Trust teams to integrate automated vulnerability scanning, secrets management, and policy-as-code guardrails directly into CI/CD workflows without introducing developer friction. Architect and support automated pipelines for hosted and private AI models, enabling software and engineering teams to leverage high-throughput AI capabilities safely within our secure compliance boundary. Maintain continuous telemetry, metrics, and alerting frameworks (Prometheus, Grafana) to give engineers real-time visibility into application performance and pipeline health. Leadership, Mentorship & Impact Frame all technical initiatives in terms of maximum impact on overall business health, execution speed, and system reliability. Mentor and elevate engineers across the software and IT organizations, fostering a culture of analytical, value-driven problem-solving. Function as a top-level technical decision-maker, managing high-ambiguity challenges with high autonomy while maintaining psychological safety and clear standards of excellence Minimum Qualifications: 8+ years of professional DevOps, SRE, or Infrastructure/Platform Engineering experience, with a proven track record of principal-level technical leadership and system architecture. Hands-on mastery of Azure GovCloud and/or AWS GovCloud environments, with deep expertise in VPC networking, IAM, and cloud-native security controls. Advanced proficiency in Terraform, Docker, Kubernetes, Helm, and continuous delivery via GitOps patterns (ArgoCD, GitHub Actions, or Flux). Direct experience architecting high-availability systems, automated DR solutions, and telemetry suites (Prometheus, Grafana). Practical experience configuring automated container/code and centralized secrets management (AWS/Azure Key Vaults, HashiCorp Vault). Experience automating, deploying, or supporting hosted AI model integrations within production CI/CD pipelines. A proactive problem solver who builds trust across teams, rejects black-and-white thinking, and focuses on enabling business outcomes. Preferred Qualifications: Familiarity with NIST SP 800-171 / CMMC Level 2 compliance standards and securing CUI data flows. Experience with Artifactory, SonarQube, Open Policy Agent (OPA), Kyverno, or automated Software Bill of Materials (SBOM) tooling. Experience automating physical hardware, edge nodes, or shop-floor environments using Packer, Ansible, K3s, or Rancher. Experience orchestrating self-hosted or private AI model execution frameworks. Ability to obtain and maintain a U.S. Government Security Clearance. Colorado law requires us to tell you the base compensation range of this role, which is $175,000 - $215,000, determined by your education, experience, knowledge, skills, and abilities. The salary range for this role is intentionally wide as we are evaluating individuals based on their unique experience and abilities to fit our needs. Most importantly, we are excited to meet you and see if you are a great fit for our team. What we can't quantify for you are the exciting challenges, supportive team, and amazing culture we enjoy. Classification: Full-Time, Exempt Benefits Include: (Please note, Interns are not eligible for benefits) Unlimited PTO - Vacation, Sick, Personal, and Bereavement Paid Parental and Adoptive Leave Medical, Dental and Vision Insurance Tax Advantage Accounts (HSA/FSA) Employer Paid Short and Long Term Disability, Basic Life, AD&D Additional Benefit Options Including Voluntary Life and Emergency Medical Transport EAP Program Retirement Savings Plan - 401k with Company Match Equity Grants in the Company How To Apply: Interested candidates are encouraged to apply by filling out the application below and clicking "Submit Application". This position will be posted for a minimum of 3 days and will remain open until filled or adjusted based on the volume of applicants. NOTE: Research suggests that women and BIPOC individuals may self-select out of opportunities if they don't meet 100% of the job requirements. We encourage anyone who believes they have the skills and the drive necessary to succeed here to apply for this role. Must be a U.S. Person (this includes U.S. Citizens and Permanent Residents). Eligibility to obtain and maintain a U.S. Security Clearance. We're an equal-opportunity employer. You will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. No outside recruiters, please.

The work we do has an impact on millions of lives, and you can be a part of it. We help protect our customers against life's uncertainties. Regardless of where you work within the company, you'll be helping provide protection and peace of mind when our customers need it most. Protective Life is transforming how it builds and operates software - moving to a product operating model organized around empowered, outcome-oriented teams - and is scaling its data and AI capabilities to serve customers and run the business better. Voyager is one of these product pods, spanning our Life, Annuities, and Employee Benefits lines. The DataOps/MLOps Lead owns the platform and operating model that lets data and ML engineers ship reliably. You build the paved paths - CI/CD, orchestration, observability, environments, and governance automation - on our Databricks Lakehouse on Microsoft Azure, so that pipelines and models move from development to governed production quickly, safely, and repeatably. This is a hands-on technical leadership role: you set standards, automate the operational backbone, mentor engineers, and are accountable for the reliability, security, cost, and auditability of the pod's data and ML systems in a regulated insurance environment. KEY RESPONSIBILITIES • Own the DataOps/MLOps platform and operating model - the paved paths, automation, and tooling that data and ML engineers use to build and run pipelines and models reliably. • Lead CI/CD standards and pipelines in Azure DevOps (ADO) for data pipelines and ML models - build, test, and release automation, environment promotion, and repeatable, auditable deployments. • Standardize orchestration on Dagster - reusable assets, scheduling, backfills, dependency management, and run observability across the pod's pipelines. • Operationalize the ingestion and transformation stack - dlt (dltHub) and dbt - with automated testing, CI checks, and safe deployment of changes. • Build MLOps foundations with the ML engineering team - MLflow model registry, Databricks Model Serving, automated deployment, monitoring, drift detection, and retraining triggers. • Establish data and model observability - freshness, quality, lineage, latency, drift, and cost - with alerting and clear SLAs/SLOs. • Administer and govern the Databricks Lakehouse on Azure - workspace configuration, Unity Catalog governance, access controls, and policy automation. • Manage infrastructure as code and environments - reproducible dev/test/prod setups (e.g., Terraform), secrets management, and least-privilege access. • Own reliability and incident practices - on-call, runbooks, root-cause analysis, and continuous improvement for data and ML services. • Drive cost visibility and optimization (FinOps) across compute, storage, and model serving. • Automate governance and compliance controls - audit logging, model and pipeline inventories, approval workflows, and evidence collection for a regulated environment. • Provide technical leadership and mentoring - coach engineers on operational excellence and set the platform standards the pod builds on. QUALIFICATIONS REQUIRED QUALIFICATIONS • 8+ years in data, ML, or platform engineering, or in SRE/DevOps, including several years operating production data and/or ML systems. • Demonstrated technical leadership - setting standards, building paved paths and automation, and mentoring engineers (formal people management not required, but valued). • Strong CI/CD expertise with Azure DevOps (ADO) - build/release pipelines, environment promotion, automated testing - and Git-based workflows. • Hands-on experience with orchestration (Dagster or equivalent) and the modern data stack - dlt (dltHub) ingestion and dbt modeling - on a Databricks lakehouse (Delta Lake). • MLOps experience - MLflow model registry, model deployment/serving, monitoring, drift detection, and retraining automation. • Infrastructure-as-code and cloud platform administration on Microsoft Azure (compute, storage, identity, networking basics); Terraform or equivalent. • Strong Python and SQL for automation and tooling. • Experience with observability/monitoring tooling and SRE practices - SLAs/SLOs, alerting, and incident management. • Demonstrated rigor in security, access control, and secure, compliant handling of sensitive data. • Bachelor's degree in Computer Science, Engineering, or a related field - or equivalent practical experience. PREFERRED QUALIFICATIONS • Experience in financial services or insurance platform work, and familiarity with model risk and regulatory audit expectations. • Databricks administration - Unity Catalog, cluster policies, and Mosaic AI - and familiarity with Azure Machine Learning. • Containerization and orchestration (Docker, Kubernetes; Azure AKS or Container Apps). • Experience with data-quality / observability tooling (e.g., Great Expectations, Monte Carlo, or similar). • Experience automating responsible-AI and model-governance controls. • Relevant certification such as Databricks Certified Data Engineer/ML Engineer, Microsoft Azure DevOps Engineer, or Azure Administrator. $124,500 - $170,000 a year Protective's targeted salary range for this position is $124,500 to $170,000. Actual salaries may vary depending on factors, including but not limited to job location, skills, and experience. The range listed is just one component of Protective's total compensation package for employees. This position also offers additional incentive opportunities through an annual incentive based on individual and Company performance. Employee Benefits: We aim to protect the wellbeing of our employees and their families with a broad benefits offering. In addition to offering comprehensive health, dental and vision insurance, we support emotional wellbeing through mental health benefits and an employee assistance program. Work/life balance is important and Protective offers a variety of paid time away benefits ( e.g. , paid time off, paid parental leave, short-term disability, and a cultural observance day). The financial health of our employees is just as important as physical and emotional health. Some of the financial wellbeing benefits include contributions to healthcare accounts, a pension plan, and a 401(k) plan with Company matching. All employees are encouraged to protect their overall wellbeing by engaging in ProHealth Rewards, Protective's platform to improve wellbeing while earning cash rewards. Eligibility for certain benefits may vary by position in accordance with the terms of the Company's benefit plans. Accommodations for Applicants with a Disability: If you require an accommodation to complete the application and recruitment process due to a disability, please email . This information will be held in confidence and used only to determine an appropriate accommodation for the application and recruitment process. Please note that the above email is solely for individuals with disabilities requesting an accommodation. General employment questions should not be sent through this process. We are proud to be an equal opportunity employer committed to being inclusive and attracting, retaining, and growing an inclusive workforce.

The work we do has an impact on millions of lives, and you can be a part of it. We help protect our customers against life's uncertainties. Regardless of where you work within the company, you'll be helping provide protection and peace of mind when our customers need it most. Protective Life is transforming how it builds and operates software - moving to a product operating model organized around empowered, outcome-oriented teams - and is scaling its data and AI capabilities to serve customers and run the business better. Voyager is one of these product pods, spanning our Life, Annuities, and Employee Benefits lines. The DataOps/MLOps Lead owns the platform and operating model that lets data and ML engineers ship reliably. You build the paved paths - CI/CD, orchestration, observability, environments, and governance automation - on our Databricks Lakehouse on Microsoft Azure, so that pipelines and models move from development to governed production quickly, safely, and repeatably. This is a hands-on technical leadership role: you set standards, automate the operational backbone, mentor engineers, and are accountable for the reliability, security, cost, and auditability of the pod's data and ML systems in a regulated insurance environment. KEY RESPONSIBILITIES • Own the DataOps/MLOps platform and operating model - the paved paths, automation, and tooling that data and ML engineers use to build and run pipelines and models reliably. • Lead CI/CD standards and pipelines in Azure DevOps (ADO) for data pipelines and ML models - build, test, and release automation, environment promotion, and repeatable, auditable deployments. • Standardize orchestration on Dagster - reusable assets, scheduling, backfills, dependency management, and run observability across the pod's pipelines. • Operationalize the ingestion and transformation stack - dlt (dltHub) and dbt - with automated testing, CI checks, and safe deployment of changes. • Build MLOps foundations with the ML engineering team - MLflow model registry, Databricks Model Serving, automated deployment, monitoring, drift detection, and retraining triggers. • Establish data and model observability - freshness, quality, lineage, latency, drift, and cost - with alerting and clear SLAs/SLOs. • Administer and govern the Databricks Lakehouse on Azure - workspace configuration, Unity Catalog governance, access controls, and policy automation. • Manage infrastructure as code and environments - reproducible dev/test/prod setups (e.g., Terraform), secrets management, and least-privilege access. • Own reliability and incident practices - on-call, runbooks, root-cause analysis, and continuous improvement for data and ML services. • Drive cost visibility and optimization (FinOps) across compute, storage, and model serving. • Automate governance and compliance controls - audit logging, model and pipeline inventories, approval workflows, and evidence collection for a regulated environment. • Provide technical leadership and mentoring - coach engineers on operational excellence and set the platform standards the pod builds on. QUALIFICATIONS REQUIRED QUALIFICATIONS • 8+ years in data, ML, or platform engineering, or in SRE/DevOps, including several years operating production data and/or ML systems. • Demonstrated technical leadership - setting standards, building paved paths and automation, and mentoring engineers (formal people management not required, but valued). • Strong CI/CD expertise with Azure DevOps (ADO) - build/release pipelines, environment promotion, automated testing - and Git-based workflows. • Hands-on experience with orchestration (Dagster or equivalent) and the modern data stack - dlt (dltHub) ingestion and dbt modeling - on a Databricks lakehouse (Delta Lake). • MLOps experience - MLflow model registry, model deployment/serving, monitoring, drift detection, and retraining automation. • Infrastructure-as-code and cloud platform administration on Microsoft Azure (compute, storage, identity, networking basics); Terraform or equivalent. • Strong Python and SQL for automation and tooling. • Experience with observability/monitoring tooling and SRE practices - SLAs/SLOs, alerting, and incident management. • Demonstrated rigor in security, access control, and secure, compliant handling of sensitive data. • Bachelor's degree in Computer Science, Engineering, or a related field - or equivalent practical experience. PREFERRED QUALIFICATIONS • Experience in financial services or insurance platform work, and familiarity with model risk and regulatory audit expectations. • Databricks administration - Unity Catalog, cluster policies, and Mosaic AI - and familiarity with Azure Machine Learning. • Containerization and orchestration (Docker, Kubernetes; Azure AKS or Container Apps). • Experience with data-quality / observability tooling (e.g., Great Expectations, Monte Carlo, or similar). • Experience automating responsible-AI and model-governance controls. • Relevant certification such as Databricks Certified Data Engineer/ML Engineer, Microsoft Azure DevOps Engineer, or Azure Administrator. $124,500 - $170,000 a year Protective's targeted salary range for this position is $124,500 to $170,000. Actual salaries may vary depending on factors, including but not limited to job location, skills, and experience. The range listed is just one component of Protective's total compensation package for employees. This position also offers additional incentive opportunities through an annual incentive based on individual and Company performance. Employee Benefits: We aim to protect the wellbeing of our employees and their families with a broad benefits offering. In addition to offering comprehensive health, dental and vision insurance, we support emotional wellbeing through mental health benefits and an employee assistance program. Work/life balance is important and Protective offers a variety of paid time away benefits ( e.g. , paid time off, paid parental leave, short-term disability, and a cultural observance day). The financial health of our employees is just as important as physical and emotional health. Some of the financial wellbeing benefits include contributions to healthcare accounts, a pension plan, and a 401(k) plan with Company matching. All employees are encouraged to protect their overall wellbeing by engaging in ProHealth Rewards, Protective's platform to improve wellbeing while earning cash rewards. Eligibility for certain benefits may vary by position in accordance with the terms of the Company's benefit plans. Accommodations for Applicants with a Disability: If you require an accommodation to complete the application and recruitment process due to a disability, please email . This information will be held in confidence and used only to determine an appropriate accommodation for the application and recruitment process. Please note that the above email is solely for individuals with disabilities requesting an accommodation. General employment questions should not be sent through this process. We are proud to be an equal opportunity employer committed to being inclusive and attracting, retaining, and growing an inclusive workforce.

The work we do has an impact on millions of lives, and you can be a part of it. We help protect our customers against life's uncertainties. Regardless of where you work within the company, you'll be helping provide protection and peace of mind when our customers need it most. Protective Life is transforming how it builds and operates software - moving to a product operating model organized around empowered, outcome-oriented teams - and is scaling its data and AI capabilities to serve customers and run the business better. Voyager is one of these product pods, spanning our Life, Annuities, and Employee Benefits lines. The DataOps/MLOps Lead owns the platform and operating model that lets data and ML engineers ship reliably. You build the paved paths - CI/CD, orchestration, observability, environments, and governance automation - on our Databricks Lakehouse on Microsoft Azure, so that pipelines and models move from development to governed production quickly, safely, and repeatably. This is a hands-on technical leadership role: you set standards, automate the operational backbone, mentor engineers, and are accountable for the reliability, security, cost, and auditability of the pod's data and ML systems in a regulated insurance environment. KEY RESPONSIBILITIES • Own the DataOps/MLOps platform and operating model - the paved paths, automation, and tooling that data and ML engineers use to build and run pipelines and models reliably. • Lead CI/CD standards and pipelines in Azure DevOps (ADO) for data pipelines and ML models - build, test, and release automation, environment promotion, and repeatable, auditable deployments. • Standardize orchestration on Dagster - reusable assets, scheduling, backfills, dependency management, and run observability across the pod's pipelines. • Operationalize the ingestion and transformation stack - dlt (dltHub) and dbt - with automated testing, CI checks, and safe deployment of changes. • Build MLOps foundations with the ML engineering team - MLflow model registry, Databricks Model Serving, automated deployment, monitoring, drift detection, and retraining triggers. • Establish data and model observability - freshness, quality, lineage, latency, drift, and cost - with alerting and clear SLAs/SLOs. • Administer and govern the Databricks Lakehouse on Azure - workspace configuration, Unity Catalog governance, access controls, and policy automation. • Manage infrastructure as code and environments - reproducible dev/test/prod setups (e.g., Terraform), secrets management, and least-privilege access. • Own reliability and incident practices - on-call, runbooks, root-cause analysis, and continuous improvement for data and ML services. • Drive cost visibility and optimization (FinOps) across compute, storage, and model serving. • Automate governance and compliance controls - audit logging, model and pipeline inventories, approval workflows, and evidence collection for a regulated environment. • Provide technical leadership and mentoring - coach engineers on operational excellence and set the platform standards the pod builds on. QUALIFICATIONS REQUIRED QUALIFICATIONS • 8+ years in data, ML, or platform engineering, or in SRE/DevOps, including several years operating production data and/or ML systems. • Demonstrated technical leadership - setting standards, building paved paths and automation, and mentoring engineers (formal people management not required, but valued). • Strong CI/CD expertise with Azure DevOps (ADO) - build/release pipelines, environment promotion, automated testing - and Git-based workflows. • Hands-on experience with orchestration (Dagster or equivalent) and the modern data stack - dlt (dltHub) ingestion and dbt modeling - on a Databricks lakehouse (Delta Lake). • MLOps experience - MLflow model registry, model deployment/serving, monitoring, drift detection, and retraining automation. • Infrastructure-as-code and cloud platform administration on Microsoft Azure (compute, storage, identity, networking basics); Terraform or equivalent. • Strong Python and SQL for automation and tooling. • Experience with observability/monitoring tooling and SRE practices - SLAs/SLOs, alerting, and incident management. • Demonstrated rigor in security, access control, and secure, compliant handling of sensitive data. • Bachelor's degree in Computer Science, Engineering, or a related field - or equivalent practical experience. PREFERRED QUALIFICATIONS • Experience in financial services or insurance platform work, and familiarity with model risk and regulatory audit expectations. • Databricks administration - Unity Catalog, cluster policies, and Mosaic AI - and familiarity with Azure Machine Learning. • Containerization and orchestration (Docker, Kubernetes; Azure AKS or Container Apps). • Experience with data-quality / observability tooling (e.g., Great Expectations, Monte Carlo, or similar). • Experience automating responsible-AI and model-governance controls. • Relevant certification such as Databricks Certified Data Engineer/ML Engineer, Microsoft Azure DevOps Engineer, or Azure Administrator. $124,500 - $170,000 a year Protective's targeted salary range for this position is $124,500 to $170,000. Actual salaries may vary depending on factors, including but not limited to job location, skills, and experience. The range listed is just one component of Protective's total compensation package for employees. This position also offers additional incentive opportunities through an annual incentive based on individual and Company performance. Employee Benefits: We aim to protect the wellbeing of our employees and their families with a broad benefits offering. In addition to offering comprehensive health, dental and vision insurance, we support emotional wellbeing through mental health benefits and an employee assistance program. Work/life balance is important and Protective offers a variety of paid time away benefits ( e.g. , paid time off, paid parental leave, short-term disability, and a cultural observance day). The financial health of our employees is just as important as physical and emotional health. Some of the financial wellbeing benefits include contributions to healthcare accounts, a pension plan, and a 401(k) plan with Company matching. All employees are encouraged to protect their overall wellbeing by engaging in ProHealth Rewards, Protective's platform to improve wellbeing while earning cash rewards. Eligibility for certain benefits may vary by position in accordance with the terms of the Company's benefit plans. Accommodations for Applicants with a Disability: If you require an accommodation to complete the application and recruitment process due to a disability, please email . This information will be held in confidence and used only to determine an appropriate accommodation for the application and recruitment process. Please note that the above email is solely for individuals with disabilities requesting an accommodation. General employment questions should not be sent through this process. We are proud to be an equal opportunity employer committed to being inclusive and attracting, retaining, and growing an inclusive workforce.

Company Description Zayo provides mission-critical bandwidth to the world's most impactful companies, fueling the innovations that are transforming our society. Zayo's 141,000-mile network in North America and Europe includes extensive metro connectivity to thousands of buildings and data centers. Zayo's communications infrastructure solutions include dark fiber, private data networks, wavelengths, Ethernet, and dedicated Internet access. Zayo serves wireless and wireline carriers, media, tech, content, finance, healthcare and other large enterprises. Do you dream of IP addresses and want to build tools for the networks that power the future? Are you passionate about automating repetitive tasks for users and delighting them with easy buttons? Are you a Front-End Developer? If so, then we want you on our team! We're looking for a talented Software Engineer/Network Automation (Front End Development) to join our growing Network Automation team. In this role, you'll be a key player in building, scaling, and automating the next generation of our network tooling infrastructure. Responsibilities Design, build, and maintain innovative tools and solutions to meet evolving business needs. This could be something as simple as developing a Mustache email template library for streamlined responses, or as complex as ML tools for automated troubleshooting Leverage open-source automation tools and scripting languages in commercial tools (e.g., Python, Ansible, ServiceNow, Salesforce, etc) to streamline NOC information gathering, internal communication, and communication with customers Contribute to solving complex technical and process problems, such as mass customer communication, automating responses to trouble tickets, and injecting enrichment information into trouble tickets Refactor and consolidate existing tools to be a cohesive suite of tools that improve ease of use and reduce swivel-chairing to get the job done Collaborate with cross-functional teams (DevOps, Security, SRE) to ensure security and optimal application performance Own new features through the project lifecycle, working collaboratively with a team of software developers to ensure timely delivery of high-quality software solutions Stay up to date on emerging network technologies and best practices, becoming the beacon for best practices and efficient processes through the organization Qualifications Self-motivated and demonstrates a strong attention to detail. Experience working with various databases such as Postgres, MySQL, MongoDB, and Oracle Experience with network automation tools and scripting languages (Python, Ansible, Terraform) Experience in both building and integrating with RESTful APIs Experience with async processing and message bus communications (RabbitMQ, Kafka) Experience creating and executing automated software testing Strong abilities on the Linux command line, working with various flavors of Linux and Docker/Kubernetes Strong understanding of applied statistics and the ability to code systems that identify outlier behavior in large systems. Previous experience delivering, maintaining and promoting a production software product Excellent communication, collaboration skills, and experience using a variety of remote collaboration tools including Jira, Confluence, Google Suite, Zoom, etc Experience using Git for code management, review and deployment A passion for tackling complex problems and combining technical and process solutions Bonus Points if you have: Network Automation Experience Experience working with various network device vendors (via API or Netconf) including Juniper, Nokia, Infinera, Ciena, Fujitsu and Cisco Command-Line experience with networking equipment (Juniper, Nokia, etc.) Experience with various network orchestration platforms, such as Ciena Blue Planet MDSO, Cisco NSO, or others Experience with monitoring platforms such as SevOne, Assure1, and Nagios Certifications such as CCNA, JNCIP, or other networking certifications Experience with Perl Education & Experience Bachelor's degree in Computer Science, Networking, or a related field (or equivalent experience) Minimum of seven (7) years of experience in software development with a variety of languages such as Python, Javascript, SQL, HTML, and GraphQL Estimated base salary range: $112,800 - $135,000 USD/annually. Work Authorization Requirement: Applicants must be currently authorized to work in the United States on a full-time basis. This position is not eligible for employer-sponsored work authorization, such as OPT, TN, H1B or any other type of work visa, now or in the future. The base pay range shown is a guideline and reasonable estimate for this role. It takes into account the wide variety of factors that are considered in making compensation decisions. Actual compensation offered may vary from the posted range based upon geographic location, work experience, skill level, certifications, and other business and organizational needs. Non- sales roles may be eligible to participate in a discretionary annual incentive plan. Sales roles may be eligible to participate in a sales incentive plan. Additionally, this position may be eligible for certain benefits, such as health insurance, life insurance, disability retirement plans, paid time off. The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled. Benefits, Rewards & Wellness Excellent Health, Dental & Vision Insurance Retirement 401(k) Savings Plan Generous paid time off policy including paid parental leave Zayo is an equal opportunity employer to all protected groups, including protected veterans and individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact us. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. As part of the application, hiring, onboarding, and/or employment process, Zayo or its affiliates, partners, and vendors may collect, store, and use biometric identifiers and biometric information (collectively, "Biometric Data"), such as fingerprints, facial geometry scans or other unique biological characteristics. Zayo uses CLEAR1, a third-party identity verification service, to verify applicant identity during the hiring process. CLEAR1 may collect Biometric Data, including facial geometry scans and/or other biometric identifiers, to authenticate your identity. Biometric Data will be retained pursuant to CLEAR1's policies, which can be found here: Zayo will not sell, lease, trade, or otherwise profit from any applicant's or employee's Biometric Data. By proceeding with your application, you acknowledge this disclosure. Prior to any collection of Biometric Data - including through CLEAR - you may be presented with a separate consent form and asked to provide your written authorization in accordance with applicable federal, state, and local laws, including the Illinois Biometric Information Privacy Act (BIPA), the Texas Capture or Use of Biometric Identifier Act (CUBI), and other applicable biometric privacy statutes.

As a Senior DevOps Engineer, you will be a key technical contributor responsible for designing, implementing, and operating scalable, resilient infrastructure and CI/CD pipelines that support the full software development lifecycle. You will work closely with Wolters Kluwer Product Teams to embed DevOps best practices into agile workflows, enabling continuous integration, automated testing, and reliable deployment across environments. In this role, you will focus on hands on engineering excellence-building, automating, and operating cloud native platforms that improve system reliability, performance, and maintainability. You will partner closely with application development teams to bridge development and operations, supporting microservices, containerized workloads, and cloud native architectures. While not a formal people manager, you will act as a senior technical mentor and role model, promoting engineering rigor, code as infrastructure, and continuous improvement. Responsibilities Design, engineer, and automate secure, scalable cloud infrastructure in Azure and AWS using Infrastructure as Code (IaC) tools such as Terraform, Ansible, and Jenkins, applying software engineering best practices including modular design, version control, and automated testing. Implement and maintain Infrastructure as Code and CI/CD pipelines, contributing reusable modules, templates, and patterns that improve consistency and reliability across teams. Design and implement modern compute platforms, including containerized and serverless solutions (AKS, EKS, Docker, Azure Functions), with an emphasis on scalability, maintainability, and performance. Build and maintain CI/CD pipelines as software products, ensuring strong test coverage, artifact management, promotion workflows, and deployment automation across multiple environments. Support and evolve cloud native architectures, applying engineering principles such as abstraction, decoupling, fault isolation, and observability. Implement observability solutions using metrics, logging, and tracing to enable proactive issue detection, faster troubleshooting, and root cause analysis. Ensure infrastructure and automation solutions comply with enterprise DevOps, security, and compliance standards, contributing to architectural reviews and governance processes. Serve as a senior technical mentor, providing guidance through code reviews, design discussions, and knowledge sharing-without direct people management responsibilities. Evaluate and prototype emerging tools and technologies, applying engineering rigor to assess value, performance, and integration feasibility. Apply Site Reliability Engineering (SRE) practices such as SLIs/SLOs, error budgets, capacity planning, and incident response to improve system reliability and reduce operational toil. Deploy, operate, and support business critical applications, ensuring high availability, fault tolerance, and performance optimization. Participate in modernization initiatives, supporting the re architecture and cloud native transformation of legacy platforms. Identify and remediate engineering inefficiencies by proposing and implementing automation and architectural improvements. Participate in post incident reviews, contributing to blameless root cause analysis and long term corrective actions. Participate in on call rotations, continuously improving alert quality, reducing noise, and automating remediation where possible. Qualifications Bachelor's degree in Engineering, Computer Science, or a related field (Master's degree preferred). 5+ years of experience in DevOps, Site Reliability Engineering, Release Engineering, or related roles, with strong hands on software engineering experience. Strong background in software development, with experience in languages such as Python, .NET, or Java. Proven experience working with cloud platforms (Azure and AWS). Proficiency in scripting languages such as PowerShell and Bash. Solid understanding of core Azure and AWS services (PaaS, IaaS, SaaS). Strong experience with source control and automation tools, including Git. Hands on experience with Infrastructure as Code tools such as Terraform or CloudFormation. Experience building and operating CI/CD pipelines using tools such as Azure DevOps, Jenkins, or similar platforms. Strong problem solving skills with attention to detail and operational excellence. Ability to clearly communicate technical concepts to engineers and non engineering stakeholders. Demonstrated commitment to DevOps culture, including continuous integration, automated testing, deployment automation, and full lifecycle ownership. Experience building or supporting observability platforms and defining operational best practices. Experience troubleshooting and automating diagnostics across Linux and Windows environments. Our Interview Practices To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process. Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process. Compensation: $92,700.00 - $161,850.00 USDThis role is eligible for Bonus. Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process. Additional Information: Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.

As a Senior DevOps Engineer, you will be a key technical contributor responsible for designing, implementing, and operating scalable, resilient infrastructure and CI/CD pipelines that support the full software development lifecycle. You will work closely with Wolters Kluwer Product Teams to embed DevOps best practices into agile workflows, enabling continuous integration, automated testing, and reliable deployment across environments. In this role, you will focus on hands on engineering excellence-building, automating, and operating cloud native platforms that improve system reliability, performance, and maintainability. You will partner closely with application development teams to bridge development and operations, supporting microservices, containerized workloads, and cloud native architectures. While not a formal people manager, you will act as a senior technical mentor and role model, promoting engineering rigor, code as infrastructure, and continuous improvement. Responsibilities Design, engineer, and automate secure, scalable cloud infrastructure in Azure and AWS using Infrastructure as Code (IaC) tools such as Terraform, Ansible, and Jenkins, applying software engineering best practices including modular design, version control, and automated testing. Implement and maintain Infrastructure as Code and CI/CD pipelines, contributing reusable modules, templates, and patterns that improve consistency and reliability across teams. Design and implement modern compute platforms, including containerized and serverless solutions (AKS, EKS, Docker, Azure Functions), with an emphasis on scalability, maintainability, and performance. Build and maintain CI/CD pipelines as software products, ensuring strong test coverage, artifact management, promotion workflows, and deployment automation across multiple environments. Support and evolve cloud native architectures, applying engineering principles such as abstraction, decoupling, fault isolation, and observability. Implement observability solutions using metrics, logging, and tracing to enable proactive issue detection, faster troubleshooting, and root cause analysis. Ensure infrastructure and automation solutions comply with enterprise DevOps, security, and compliance standards, contributing to architectural reviews and governance processes. Serve as a senior technical mentor, providing guidance through code reviews, design discussions, and knowledge sharing-without direct people management responsibilities. Evaluate and prototype emerging tools and technologies, applying engineering rigor to assess value, performance, and integration feasibility. Apply Site Reliability Engineering (SRE) practices such as SLIs/SLOs, error budgets, capacity planning, and incident response to improve system reliability and reduce operational toil. Deploy, operate, and support business critical applications, ensuring high availability, fault tolerance, and performance optimization. Participate in modernization initiatives, supporting the re architecture and cloud native transformation of legacy platforms. Identify and remediate engineering inefficiencies by proposing and implementing automation and architectural improvements. Participate in post incident reviews, contributing to blameless root cause analysis and long term corrective actions. Participate in on call rotations, continuously improving alert quality, reducing noise, and automating remediation where possible. Qualifications Bachelor's degree in Engineering, Computer Science, or a related field (Master's degree preferred). 5+ years of experience in DevOps, Site Reliability Engineering, Release Engineering, or related roles, with strong hands on software engineering experience. Strong background in software development, with experience in languages such as Python, .NET, or Java. Proven experience working with cloud platforms (Azure and AWS). Proficiency in scripting languages such as PowerShell and Bash. Solid understanding of core Azure and AWS services (PaaS, IaaS, SaaS). Strong experience with source control and automation tools, including Git. Hands on experience with Infrastructure as Code tools such as Terraform or CloudFormation. Experience building and operating CI/CD pipelines using tools such as Azure DevOps, Jenkins, or similar platforms. Strong problem solving skills with attention to detail and operational excellence. Ability to clearly communicate technical concepts to engineers and non engineering stakeholders. Demonstrated commitment to DevOps culture, including continuous integration, automated testing, deployment automation, and full lifecycle ownership. Experience building or supporting observability platforms and defining operational best practices. Experience troubleshooting and automating diagnostics across Linux and Windows environments. Our Interview Practices To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process. Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process. Compensation: $92,700.00 - $161,850.00 USDThis role is eligible for Bonus. Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process. Additional Information: Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.

As a Senior DevOps Engineer, you will be a key technical contributor responsible for designing, implementing, and operating scalable, resilient infrastructure and CI/CD pipelines that support the full software development lifecycle. You will work closely with Wolters Kluwer Product Teams to embed DevOps best practices into agile workflows, enabling continuous integration, automated testing, and reliable deployment across environments. In this role, you will focus on hands on engineering excellence-building, automating, and operating cloud native platforms that improve system reliability, performance, and maintainability. You will partner closely with application development teams to bridge development and operations, supporting microservices, containerized workloads, and cloud native architectures. While not a formal people manager, you will act as a senior technical mentor and role model, promoting engineering rigor, code as infrastructure, and continuous improvement. Responsibilities Design, engineer, and automate secure, scalable cloud infrastructure in Azure and AWS using Infrastructure as Code (IaC) tools such as Terraform, Ansible, and Jenkins, applying software engineering best practices including modular design, version control, and automated testing. Implement and maintain Infrastructure as Code and CI/CD pipelines, contributing reusable modules, templates, and patterns that improve consistency and reliability across teams. Design and implement modern compute platforms, including containerized and serverless solutions (AKS, EKS, Docker, Azure Functions), with an emphasis on scalability, maintainability, and performance. Build and maintain CI/CD pipelines as software products, ensuring strong test coverage, artifact management, promotion workflows, and deployment automation across multiple environments. Support and evolve cloud native architectures, applying engineering principles such as abstraction, decoupling, fault isolation, and observability. Implement observability solutions using metrics, logging, and tracing to enable proactive issue detection, faster troubleshooting, and root cause analysis. Ensure infrastructure and automation solutions comply with enterprise DevOps, security, and compliance standards, contributing to architectural reviews and governance processes. Serve as a senior technical mentor, providing guidance through code reviews, design discussions, and knowledge sharing-without direct people management responsibilities. Evaluate and prototype emerging tools and technologies, applying engineering rigor to assess value, performance, and integration feasibility. Apply Site Reliability Engineering (SRE) practices such as SLIs/SLOs, error budgets, capacity planning, and incident response to improve system reliability and reduce operational toil. Deploy, operate, and support business critical applications, ensuring high availability, fault tolerance, and performance optimization. Participate in modernization initiatives, supporting the re architecture and cloud native transformation of legacy platforms. Identify and remediate engineering inefficiencies by proposing and implementing automation and architectural improvements. Participate in post incident reviews, contributing to blameless root cause analysis and long term corrective actions. Participate in on call rotations, continuously improving alert quality, reducing noise, and automating remediation where possible. Qualifications Bachelor's degree in Engineering, Computer Science, or a related field (Master's degree preferred). 5+ years of experience in DevOps, Site Reliability Engineering, Release Engineering, or related roles, with strong hands on software engineering experience. Strong background in software development, with experience in languages such as Python, .NET, or Java. Proven experience working with cloud platforms (Azure and AWS). Proficiency in scripting languages such as PowerShell and Bash. Solid understanding of core Azure and AWS services (PaaS, IaaS, SaaS). Strong experience with source control and automation tools, including Git. Hands on experience with Infrastructure as Code tools such as Terraform or CloudFormation. Experience building and operating CI/CD pipelines using tools such as Azure DevOps, Jenkins, or similar platforms. Strong problem solving skills with attention to detail and operational excellence. Ability to clearly communicate technical concepts to engineers and non engineering stakeholders. Demonstrated commitment to DevOps culture, including continuous integration, automated testing, deployment automation, and full lifecycle ownership. Experience building or supporting observability platforms and defining operational best practices. Experience troubleshooting and automating diagnostics across Linux and Windows environments. Our Interview Practices To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process. Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process. Compensation: $92,700.00 - $161,850.00 USDThis role is eligible for Bonus. Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process. Additional Information: Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.

As a Senior DevOps Engineer, you will be a key technical contributor responsible for designing, implementing, and operating scalable, resilient infrastructure and CI/CD pipelines that support the full software development lifecycle. You will work closely with Wolters Kluwer Product Teams to embed DevOps best practices into agile workflows, enabling continuous integration, automated testing, and reliable deployment across environments. In this role, you will focus on hands on engineering excellence-building, automating, and operating cloud native platforms that improve system reliability, performance, and maintainability. You will partner closely with application development teams to bridge development and operations, supporting microservices, containerized workloads, and cloud native architectures. While not a formal people manager, you will act as a senior technical mentor and role model, promoting engineering rigor, code as infrastructure, and continuous improvement. Responsibilities Design, engineer, and automate secure, scalable cloud infrastructure in Azure and AWS using Infrastructure as Code (IaC) tools such as Terraform, Ansible, and Jenkins, applying software engineering best practices including modular design, version control, and automated testing. Implement and maintain Infrastructure as Code and CI/CD pipelines, contributing reusable modules, templates, and patterns that improve consistency and reliability across teams. Design and implement modern compute platforms, including containerized and serverless solutions (AKS, EKS, Docker, Azure Functions), with an emphasis on scalability, maintainability, and performance. Build and maintain CI/CD pipelines as software products, ensuring strong test coverage, artifact management, promotion workflows, and deployment automation across multiple environments. Support and evolve cloud native architectures, applying engineering principles such as abstraction, decoupling, fault isolation, and observability. Implement observability solutions using metrics, logging, and tracing to enable proactive issue detection, faster troubleshooting, and root cause analysis. Ensure infrastructure and automation solutions comply with enterprise DevOps, security, and compliance standards, contributing to architectural reviews and governance processes. Serve as a senior technical mentor, providing guidance through code reviews, design discussions, and knowledge sharing-without direct people management responsibilities. Evaluate and prototype emerging tools and technologies, applying engineering rigor to assess value, performance, and integration feasibility. Apply Site Reliability Engineering (SRE) practices such as SLIs/SLOs, error budgets, capacity planning, and incident response to improve system reliability and reduce operational toil. Deploy, operate, and support business critical applications, ensuring high availability, fault tolerance, and performance optimization. Participate in modernization initiatives, supporting the re architecture and cloud native transformation of legacy platforms. Identify and remediate engineering inefficiencies by proposing and implementing automation and architectural improvements. Participate in post incident reviews, contributing to blameless root cause analysis and long term corrective actions. Participate in on call rotations, continuously improving alert quality, reducing noise, and automating remediation where possible. Qualifications Bachelor's degree in Engineering, Computer Science, or a related field (Master's degree preferred). 5+ years of experience in DevOps, Site Reliability Engineering, Release Engineering, or related roles, with strong hands on software engineering experience. Strong background in software development, with experience in languages such as Python, .NET, or Java. Proven experience working with cloud platforms (Azure and AWS). Proficiency in scripting languages such as PowerShell and Bash. Solid understanding of core Azure and AWS services (PaaS, IaaS, SaaS). Strong experience with source control and automation tools, including Git. Hands on experience with Infrastructure as Code tools such as Terraform or CloudFormation. Experience building and operating CI/CD pipelines using tools such as Azure DevOps, Jenkins, or similar platforms. Strong problem solving skills with attention to detail and operational excellence. Ability to clearly communicate technical concepts to engineers and non engineering stakeholders. Demonstrated commitment to DevOps culture, including continuous integration, automated testing, deployment automation, and full lifecycle ownership. Experience building or supporting observability platforms and defining operational best practices. Experience troubleshooting and automating diagnostics across Linux and Windows environments. Our Interview Practices To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process. Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process. Compensation: $92,700.00 - $161,850.00 USDThis role is eligible for Bonus. Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process. Additional Information: Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.

As a Senior DevOps Engineer, you will be a key technical contributor responsible for designing, implementing, and operating scalable, resilient infrastructure and CI/CD pipelines that support the full software development lifecycle. You will work closely with Wolters Kluwer Product Teams to embed DevOps best practices into agile workflows, enabling continuous integration, automated testing, and reliable deployment across environments. In this role, you will focus on hands on engineering excellence-building, automating, and operating cloud native platforms that improve system reliability, performance, and maintainability. You will partner closely with application development teams to bridge development and operations, supporting microservices, containerized workloads, and cloud native architectures. While not a formal people manager, you will act as a senior technical mentor and role model, promoting engineering rigor, code as infrastructure, and continuous improvement. Responsibilities Design, engineer, and automate secure, scalable cloud infrastructure in Azure and AWS using Infrastructure as Code (IaC) tools such as Terraform, Ansible, and Jenkins, applying software engineering best practices including modular design, version control, and automated testing. Implement and maintain Infrastructure as Code and CI/CD pipelines, contributing reusable modules, templates, and patterns that improve consistency and reliability across teams. Design and implement modern compute platforms, including containerized and serverless solutions (AKS, EKS, Docker, Azure Functions), with an emphasis on scalability, maintainability, and performance. Build and maintain CI/CD pipelines as software products, ensuring strong test coverage, artifact management, promotion workflows, and deployment automation across multiple environments. Support and evolve cloud native architectures, applying engineering principles such as abstraction, decoupling, fault isolation, and observability. Implement observability solutions using metrics, logging, and tracing to enable proactive issue detection, faster troubleshooting, and root cause analysis. Ensure infrastructure and automation solutions comply with enterprise DevOps, security, and compliance standards, contributing to architectural reviews and governance processes. Serve as a senior technical mentor, providing guidance through code reviews, design discussions, and knowledge sharing-without direct people management responsibilities. Evaluate and prototype emerging tools and technologies, applying engineering rigor to assess value, performance, and integration feasibility. Apply Site Reliability Engineering (SRE) practices such as SLIs/SLOs, error budgets, capacity planning, and incident response to improve system reliability and reduce operational toil. Deploy, operate, and support business critical applications, ensuring high availability, fault tolerance, and performance optimization. Participate in modernization initiatives, supporting the re architecture and cloud native transformation of legacy platforms. Identify and remediate engineering inefficiencies by proposing and implementing automation and architectural improvements. Participate in post incident reviews, contributing to blameless root cause analysis and long term corrective actions. Participate in on call rotations, continuously improving alert quality, reducing noise, and automating remediation where possible. Qualifications Bachelor's degree in Engineering, Computer Science, or a related field (Master's degree preferred). 5+ years of experience in DevOps, Site Reliability Engineering, Release Engineering, or related roles, with strong hands on software engineering experience. Strong background in software development, with experience in languages such as Python, .NET, or Java. Proven experience working with cloud platforms (Azure and AWS). Proficiency in scripting languages such as PowerShell and Bash. Solid understanding of core Azure and AWS services (PaaS, IaaS, SaaS). Strong experience with source control and automation tools, including Git. Hands on experience with Infrastructure as Code tools such as Terraform or CloudFormation. Experience building and operating CI/CD pipelines using tools such as Azure DevOps, Jenkins, or similar platforms. Strong problem solving skills with attention to detail and operational excellence. Ability to clearly communicate technical concepts to engineers and non engineering stakeholders. Demonstrated commitment to DevOps culture, including continuous integration, automated testing, deployment automation, and full lifecycle ownership. Experience building or supporting observability platforms and defining operational best practices. Experience troubleshooting and automating diagnostics across Linux and Windows environments. Our Interview Practices To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process. Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process. Compensation: $92,700.00 - $161,850.00 USDThis role is eligible for Bonus. Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process. Additional Information: Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.

As a Senior DevOps Engineer, you will be a key technical contributor responsible for designing, implementing, and operating scalable, resilient infrastructure and CI/CD pipelines that support the full software development lifecycle. You will work closely with Wolters Kluwer Product Teams to embed DevOps best practices into agile workflows, enabling continuous integration, automated testing, and reliable deployment across environments. In this role, you will focus on hands on engineering excellence-building, automating, and operating cloud native platforms that improve system reliability, performance, and maintainability. You will partner closely with application development teams to bridge development and operations, supporting microservices, containerized workloads, and cloud native architectures. While not a formal people manager, you will act as a senior technical mentor and role model, promoting engineering rigor, code as infrastructure, and continuous improvement. Responsibilities Design, engineer, and automate secure, scalable cloud infrastructure in Azure and AWS using Infrastructure as Code (IaC) tools such as Terraform, Ansible, and Jenkins, applying software engineering best practices including modular design, version control, and automated testing. Implement and maintain Infrastructure as Code and CI/CD pipelines, contributing reusable modules, templates, and patterns that improve consistency and reliability across teams. Design and implement modern compute platforms, including containerized and serverless solutions (AKS, EKS, Docker, Azure Functions), with an emphasis on scalability, maintainability, and performance. Build and maintain CI/CD pipelines as software products, ensuring strong test coverage, artifact management, promotion workflows, and deployment automation across multiple environments. Support and evolve cloud native architectures, applying engineering principles such as abstraction, decoupling, fault isolation, and observability. Implement observability solutions using metrics, logging, and tracing to enable proactive issue detection, faster troubleshooting, and root cause analysis. Ensure infrastructure and automation solutions comply with enterprise DevOps, security, and compliance standards, contributing to architectural reviews and governance processes. Serve as a senior technical mentor, providing guidance through code reviews, design discussions, and knowledge sharing-without direct people management responsibilities. Evaluate and prototype emerging tools and technologies, applying engineering rigor to assess value, performance, and integration feasibility. Apply Site Reliability Engineering (SRE) practices such as SLIs/SLOs, error budgets, capacity planning, and incident response to improve system reliability and reduce operational toil. Deploy, operate, and support business critical applications, ensuring high availability, fault tolerance, and performance optimization. Participate in modernization initiatives, supporting the re architecture and cloud native transformation of legacy platforms. Identify and remediate engineering inefficiencies by proposing and implementing automation and architectural improvements. Participate in post incident reviews, contributing to blameless root cause analysis and long term corrective actions. Participate in on call rotations, continuously improving alert quality, reducing noise, and automating remediation where possible. Qualifications Bachelor's degree in Engineering, Computer Science, or a related field (Master's degree preferred). 5+ years of experience in DevOps, Site Reliability Engineering, Release Engineering, or related roles, with strong hands on software engineering experience. Strong background in software development, with experience in languages such as Python, .NET, or Java. Proven experience working with cloud platforms (Azure and AWS). Proficiency in scripting languages such as PowerShell and Bash. Solid understanding of core Azure and AWS services (PaaS, IaaS, SaaS). Strong experience with source control and automation tools, including Git. Hands on experience with Infrastructure as Code tools such as Terraform or CloudFormation. Experience building and operating CI/CD pipelines using tools such as Azure DevOps, Jenkins, or similar platforms. Strong problem solving skills with attention to detail and operational excellence. Ability to clearly communicate technical concepts to engineers and non engineering stakeholders. Demonstrated commitment to DevOps culture, including continuous integration, automated testing, deployment automation, and full lifecycle ownership. Experience building or supporting observability platforms and defining operational best practices. Experience troubleshooting and automating diagnostics across Linux and Windows environments. Our Interview Practices To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process. Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process. Compensation: $92,700.00 - $161,850.00 USDThis role is eligible for Bonus. Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process. Additional Information: Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.

As a Senior DevOps Engineer, you will be a key technical contributor responsible for designing, implementing, and operating scalable, resilient infrastructure and CI/CD pipelines that support the full software development lifecycle. You will work closely with Wolters Kluwer Product Teams to embed DevOps best practices into agile workflows, enabling continuous integration, automated testing, and reliable deployment across environments. In this role, you will focus on hands on engineering excellence-building, automating, and operating cloud native platforms that improve system reliability, performance, and maintainability. You will partner closely with application development teams to bridge development and operations, supporting microservices, containerized workloads, and cloud native architectures. While not a formal people manager, you will act as a senior technical mentor and role model, promoting engineering rigor, code as infrastructure, and continuous improvement. Responsibilities Design, engineer, and automate secure, scalable cloud infrastructure in Azure and AWS using Infrastructure as Code (IaC) tools such as Terraform, Ansible, and Jenkins, applying software engineering best practices including modular design, version control, and automated testing. Implement and maintain Infrastructure as Code and CI/CD pipelines, contributing reusable modules, templates, and patterns that improve consistency and reliability across teams. Design and implement modern compute platforms, including containerized and serverless solutions (AKS, EKS, Docker, Azure Functions), with an emphasis on scalability, maintainability, and performance. Build and maintain CI/CD pipelines as software products, ensuring strong test coverage, artifact management, promotion workflows, and deployment automation across multiple environments. Support and evolve cloud native architectures, applying engineering principles such as abstraction, decoupling, fault isolation, and observability. Implement observability solutions using metrics, logging, and tracing to enable proactive issue detection, faster troubleshooting, and root cause analysis. Ensure infrastructure and automation solutions comply with enterprise DevOps, security, and compliance standards, contributing to architectural reviews and governance processes. Serve as a senior technical mentor, providing guidance through code reviews, design discussions, and knowledge sharing-without direct people management responsibilities. Evaluate and prototype emerging tools and technologies, applying engineering rigor to assess value, performance, and integration feasibility. Apply Site Reliability Engineering (SRE) practices such as SLIs/SLOs, error budgets, capacity planning, and incident response to improve system reliability and reduce operational toil. Deploy, operate, and support business critical applications, ensuring high availability, fault tolerance, and performance optimization. Participate in modernization initiatives, supporting the re architecture and cloud native transformation of legacy platforms. Identify and remediate engineering inefficiencies by proposing and implementing automation and architectural improvements. Participate in post incident reviews, contributing to blameless root cause analysis and long term corrective actions. Participate in on call rotations, continuously improving alert quality, reducing noise, and automating remediation where possible. Qualifications Bachelor's degree in Engineering, Computer Science, or a related field (Master's degree preferred). 5+ years of experience in DevOps, Site Reliability Engineering, Release Engineering, or related roles, with strong hands on software engineering experience. Strong background in software development, with experience in languages such as Python, .NET, or Java. Proven experience working with cloud platforms (Azure and AWS). Proficiency in scripting languages such as PowerShell and Bash. Solid understanding of core Azure and AWS services (PaaS, IaaS, SaaS). Strong experience with source control and automation tools, including Git. Hands on experience with Infrastructure as Code tools such as Terraform or CloudFormation. Experience building and operating CI/CD pipelines using tools such as Azure DevOps, Jenkins, or similar platforms. Strong problem solving skills with attention to detail and operational excellence. Ability to clearly communicate technical concepts to engineers and non engineering stakeholders. Demonstrated commitment to DevOps culture, including continuous integration, automated testing, deployment automation, and full lifecycle ownership. Experience building or supporting observability platforms and defining operational best practices. Experience troubleshooting and automating diagnostics across Linux and Windows environments. Our Interview Practices To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process. Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process. Compensation: $92,700.00 - $161,850.00 USDThis role is eligible for Bonus. Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process. Additional Information: Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.

As a Senior DevOps Engineer, you will be a key technical contributor responsible for designing, implementing, and operating scalable, resilient infrastructure and CI/CD pipelines that support the full software development lifecycle. You will work closely with Wolters Kluwer Product Teams to embed DevOps best practices into agile workflows, enabling continuous integration, automated testing, and reliable deployment across environments. In this role, you will focus on hands on engineering excellence-building, automating, and operating cloud native platforms that improve system reliability, performance, and maintainability. You will partner closely with application development teams to bridge development and operations, supporting microservices, containerized workloads, and cloud native architectures. While not a formal people manager, you will act as a senior technical mentor and role model, promoting engineering rigor, code as infrastructure, and continuous improvement. Responsibilities Design, engineer, and automate secure, scalable cloud infrastructure in Azure and AWS using Infrastructure as Code (IaC) tools such as Terraform, Ansible, and Jenkins, applying software engineering best practices including modular design, version control, and automated testing. Implement and maintain Infrastructure as Code and CI/CD pipelines, contributing reusable modules, templates, and patterns that improve consistency and reliability across teams. Design and implement modern compute platforms, including containerized and serverless solutions (AKS, EKS, Docker, Azure Functions), with an emphasis on scalability, maintainability, and performance. Build and maintain CI/CD pipelines as software products, ensuring strong test coverage, artifact management, promotion workflows, and deployment automation across multiple environments. Support and evolve cloud native architectures, applying engineering principles such as abstraction, decoupling, fault isolation, and observability. Implement observability solutions using metrics, logging, and tracing to enable proactive issue detection, faster troubleshooting, and root cause analysis. Ensure infrastructure and automation solutions comply with enterprise DevOps, security, and compliance standards, contributing to architectural reviews and governance processes. Serve as a senior technical mentor, providing guidance through code reviews, design discussions, and knowledge sharing-without direct people management responsibilities. Evaluate and prototype emerging tools and technologies, applying engineering rigor to assess value, performance, and integration feasibility. Apply Site Reliability Engineering (SRE) practices such as SLIs/SLOs, error budgets, capacity planning, and incident response to improve system reliability and reduce operational toil. Deploy, operate, and support business critical applications, ensuring high availability, fault tolerance, and performance optimization. Participate in modernization initiatives, supporting the re architecture and cloud native transformation of legacy platforms. Identify and remediate engineering inefficiencies by proposing and implementing automation and architectural improvements. Participate in post incident reviews, contributing to blameless root cause analysis and long term corrective actions. Participate in on call rotations, continuously improving alert quality, reducing noise, and automating remediation where possible. Qualifications Bachelor's degree in Engineering, Computer Science, or a related field (Master's degree preferred). 5+ years of experience in DevOps, Site Reliability Engineering, Release Engineering, or related roles, with strong hands on software engineering experience. Strong background in software development, with experience in languages such as Python, .NET, or Java. Proven experience working with cloud platforms (Azure and AWS). Proficiency in scripting languages such as PowerShell and Bash. Solid understanding of core Azure and AWS services (PaaS, IaaS, SaaS). Strong experience with source control and automation tools, including Git. Hands on experience with Infrastructure as Code tools such as Terraform or CloudFormation. Experience building and operating CI/CD pipelines using tools such as Azure DevOps, Jenkins, or similar platforms. Strong problem solving skills with attention to detail and operational excellence. Ability to clearly communicate technical concepts to engineers and non engineering stakeholders. Demonstrated commitment to DevOps culture, including continuous integration, automated testing, deployment automation, and full lifecycle ownership. Experience building or supporting observability platforms and defining operational best practices. Experience troubleshooting and automating diagnostics across Linux and Windows environments. Our Interview Practices To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process. Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process. Compensation: $92,700.00 - $161,850.00 USDThis role is eligible for Bonus. Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process. Additional Information: Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.

As a Senior DevOps Engineer, you will be a key technical contributor responsible for designing, implementing, and operating scalable, resilient infrastructure and CI/CD pipelines that support the full software development lifecycle. You will work closely with Wolters Kluwer Product Teams to embed DevOps best practices into agile workflows, enabling continuous integration, automated testing, and reliable deployment across environments. In this role, you will focus on hands on engineering excellence-building, automating, and operating cloud native platforms that improve system reliability, performance, and maintainability. You will partner closely with application development teams to bridge development and operations, supporting microservices, containerized workloads, and cloud native architectures. While not a formal people manager, you will act as a senior technical mentor and role model, promoting engineering rigor, code as infrastructure, and continuous improvement. Responsibilities Design, engineer, and automate secure, scalable cloud infrastructure in Azure and AWS using Infrastructure as Code (IaC) tools such as Terraform, Ansible, and Jenkins, applying software engineering best practices including modular design, version control, and automated testing. Implement and maintain Infrastructure as Code and CI/CD pipelines, contributing reusable modules, templates, and patterns that improve consistency and reliability across teams. Design and implement modern compute platforms, including containerized and serverless solutions (AKS, EKS, Docker, Azure Functions), with an emphasis on scalability, maintainability, and performance. Build and maintain CI/CD pipelines as software products, ensuring strong test coverage, artifact management, promotion workflows, and deployment automation across multiple environments. Support and evolve cloud native architectures, applying engineering principles such as abstraction, decoupling, fault isolation, and observability. Implement observability solutions using metrics, logging, and tracing to enable proactive issue detection, faster troubleshooting, and root cause analysis. Ensure infrastructure and automation solutions comply with enterprise DevOps, security, and compliance standards, contributing to architectural reviews and governance processes. Serve as a senior technical mentor, providing guidance through code reviews, design discussions, and knowledge sharing-without direct people management responsibilities. Evaluate and prototype emerging tools and technologies, applying engineering rigor to assess value, performance, and integration feasibility. Apply Site Reliability Engineering (SRE) practices such as SLIs/SLOs, error budgets, capacity planning, and incident response to improve system reliability and reduce operational toil. Deploy, operate, and support business critical applications, ensuring high availability, fault tolerance, and performance optimization. Participate in modernization initiatives, supporting the re architecture and cloud native transformation of legacy platforms. Identify and remediate engineering inefficiencies by proposing and implementing automation and architectural improvements. Participate in post incident reviews, contributing to blameless root cause analysis and long term corrective actions. Participate in on call rotations, continuously improving alert quality, reducing noise, and automating remediation where possible. Qualifications Bachelor's degree in Engineering, Computer Science, or a related field (Master's degree preferred). 5+ years of experience in DevOps, Site Reliability Engineering, Release Engineering, or related roles, with strong hands on software engineering experience. Strong background in software development, with experience in languages such as Python, .NET, or Java. Proven experience working with cloud platforms (Azure and AWS). Proficiency in scripting languages such as PowerShell and Bash. Solid understanding of core Azure and AWS services (PaaS, IaaS, SaaS). Strong experience with source control and automation tools, including Git. Hands on experience with Infrastructure as Code tools such as Terraform or CloudFormation. Experience building and operating CI/CD pipelines using tools such as Azure DevOps, Jenkins, or similar platforms. Strong problem solving skills with attention to detail and operational excellence. Ability to clearly communicate technical concepts to engineers and non engineering stakeholders. Demonstrated commitment to DevOps culture, including continuous integration, automated testing, deployment automation, and full lifecycle ownership. Experience building or supporting observability platforms and defining operational best practices. Experience troubleshooting and automating diagnostics across Linux and Windows environments. Our Interview Practices To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process. Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process. Compensation: $92,700.00 - $161,850.00 USDThis role is eligible for Bonus. Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process. Additional Information: Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.

About Crunchyroll Founded by fans, Crunchyroll delivers the art and culture of anime to a passionate community. We super-serve over 100 million anime and manga fans across 200+ countries and territories, and help them connect with the stories and characters they crave. Whether that experience is online or in-person, streaming video, theatrical, games, merchandise, events and more, it's powered by the anime content we all love. Join our team, and help us shape the future of anime! About the role Crunchyroll is growing and changing, presenting unique challenges and opportunities to support millions of anime fans around the world. The Data Engineering team provides seamless help to our internal stakeholders, ensuring an exceptional experience for all Crunchyroll fans. As a Database Engineer for the Data Engineering team, you will be responsible for maintaining and enhancing the reliability of our data infrastructure. Your work will directly impact the availability and performance of our data services, enabling the organization to make data-driven decisions. You will collaborate closely with data engineers, and software engineers to develop and drive 100% automation, best practices for deep monitoring and alerting. Key Areas of Responsibility Database Strategy & Technical Leadership: Act as the strategic subject matter expert for database engine best practices, storage engines, and long-term data placement strategy across the broader engineering organization. Partner with tech leadership to raise the collective database expertise of the team. SQL Optimization & Application Performance: Drive deep application performance analysis. Own the identification, debugging, and elimination of query execution bottlenecks, optimizing raw SQL, missing indexes, execution plans, and data models to maximize throughput and minimize latency. Cloud Database Architecture & Scale: Design, scale, and evaluate schemas leveraging AWS-native database services, including Amazon RDS, Aurora (MySQL/PostgreSQL), and NoSQL engines (DynamoDB), ensuring systems adhere strictly to rigorous scalability benchmarks. Database Internals & Systems Analysis: Execute deep-dive performance forensics into database engine behaviors, memory structures, replication lag, locking mechanisms, and OS/hardware saturation metrics (such as Disk/IO performance) to preemptively address platform degradation. Engineering Mentorship & Advisory: Partner closely with internal application development and data teams to review data access patterns, optimize application-level database interaction layers, and establish organizational standards around indexing and schema configurations. Cross-Functional Collaboration: Partner with Database SRE specialists to ensure highly optimized query layouts, correct database configuration and schemas translate seamlessly into platform automation and IaC frameworks. About You We get excited about candidates, like you, because Bachelor's degree in Computer Science, Information Technology, or a related field. 8+ years of experience in database operations, or a related role with a focus on data platforms, data stores, data operations. Deep experience in AWS RDS, Aurora and NoSQL is a must. Extensive experience with AWS cloud platform and their data-related services. Proficiency in monitoring tools (e.g., Datadog, CloudWatch, DevOps Guru, DB Performance Insights). Proficiency in one or more programming languages (e.g. Python, Java) Strong understanding of various performance metrics both at a high level and at a low level like Disk/IO saturation. Experience in identifying and eliminating the bottlenecks in the system. Strong understanding of database internals like types of indexes, schemas, query plans. Strong understanding of database systems (e.g., SQL, NoSQL) and experience in managing large-scale data infrastructures. Basic knowledge and some hands-on implementation of CI/CD pipelines and DatabaseOps practices. Experience with data governance, compliance, and lifecycle management. Strong problem-solving skills and a proactive approach to identifying and addressing issues. Ability to independently own and execute projects while effectively collaborating with the team to influence and shape the vision of the data engineering organization. Strong communication skills and the ability to mentor and guide junior engineers. About the Team The Database Engineering team is dedicated to ensuring the reliability, scalability, and performance of our data infrastructure. We focus on standardizing and implementing monitoring and alerting across all datastores to track key metrics like errors, latency, and throughput, and to ensure critical systems are covered. Our team also leads efforts to keep databases up-to-date, implements Infrastructure as Code (IaC) for high availability and performance, and automates key processes to enhance operational efficiency. We lead and evangelize the principle of 100% automation. Additionally, we define and document operational requirements, develop incident response processes, and automate monitoring and compliance checks to maintain a secure and reliable data environment. By continuously improving load testing and optimizing data governance practices, we support the overall health and efficiency of our data systems. Why you will love working at Crunchyroll In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks: Receive a great compensation package including salary plus performance bonus earning potential, paid annually. Flexible time off policies allowing you to take the time you need to be your whole self. Generous medical, dental, vision, STD, LTD, and life insurance Health Saving Account HSA program Health care and dependent care FSA 401(k) plan, with employer match Employer paid commuter benefit Support program for new parents Pet insurance and some of our offices are pet friendly! The Pay Range for this position is listed. Actual pay will vary based on factors including, but not limited to location, experience, and performance. The range listed is just one component of Crunchyroll's Total Rewards offerings for employees. Other rewards may include performance bonuses, employer matched retirement savings, time-off programs, and progressive health benefits and perks. Pay Transparency - San Francisco, CA $203,400-$254,200 USD About our Values We want to be everything for someone rather than something for everyone and we do this by living and modeling our values in all that we do. We value Courage. We believe that when we overcome fear, we enable our best selves. Curiosity. We are curious, which is the gateway to empathy, inclusion, and understanding. Kaizen. We have a growth mindset committed to constant forward progress. Service. We serve our community with humility, enabling joy and belonging for others. Our commitment to diversity and inclusion Our mission of helping people belong reflects our commitment to diversity & inclusion. It's just the way we do business. We are an equal opportunity employer and value diversity at Crunchyroll. Pursuant to applicable law, we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Crunchyroll, LLC is an independently operated joint venture between US-based Sony Pictures Entertainment, and Japan's Aniplex, a subsidiary of Sony Music Entertainment (Japan) Inc., both subsidiaries of Tokyo-based Sony Group Corporation. Questions about Crunchyroll's hiring process? Please check out our Hiring FAQs: Please refer to our Candidate Privacy Policy for more information about how we process your personal information, and your data protection rights: Please beware of recent scams to online job seekers. Those applying to our job openings will only be contacted directly email account.

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Manager, Site Reliability Engineering San Francisco, California Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. This position requires 2 days a week in our San Francisco Office. The IDaaS Site Reliability Engineering Group Okta authenticates, authorizes and provisions millions of users a day. The service is hosted on Amazon Web Services (AWS) across multiple availability zones and geographically separated regions. The service is designed for high throughput and 99.999 availability. We're looking for a technical leader to help us continue to scale the service with great people and reliable, cost-effective, and efficient infrastructure, processes, and tooling. As the Manager of Infrastructure Platform and Shared Services, you will oversee multiple teams focused on Edge networking, K8s platform, CI/CD, Observability, automation platform & tooling. What you'll be doing Managing a team of SRE's supporting various workloads and teams that support our IDaaS platform. Drive the microservice journey, DevOps maturity, and workload reliability in tandem with architects and teams across the organization. Accelerate the velocity of SRE and product engineering by developing powerful tooling, intuitive self-service capabilities, and robust self-healing patterns. Lead, mentor, and grow a high-performing team of engineers and managers across platform, infrastructure, and shared services domains. Perform engineering design evaluations and ensure the completion of projects within resource, budget, and scheduling constraints. Improve SDLC processes for Cloud infrastructure as a code, including the maturity of CI/CD pipelines, change and release management Manage service and business expectations and prioritize resource allocation Maintain a deep knowledge of industry best practices, evolving trends, and technologies What you'll bring to the role 3+ years of experience in technical leadership & people management Extensive experience using Agile and DevOps methodologies to build product infrastructure and shared service at scale Experience running large-scale infrastructure platforms supporting a SaaS/Cloud service in a public Cloud, preferably AWS. Experience supporting a multi-Cloud environment will be a plus. Strong expertise in cloud-native architectures, containerization (Kubernetes), IaC (Terraform), and CI/CD pipelines Strong background and hands-on experience in SW development, PaaS and automation Deep experience with building and operating observability platforms and monitoring tools (Grafana, Splunk, APM etc.) in a large scale environment. Effective verbal, written communication and interpersonal skills Computer Science Degree or related degree or equivalent experience Additional requirements: This position requires the ability to access federal environments and/or have access to protected federal data. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire. P24518_ Below is the annual base salary range for candidates located in San Francisco Bay Area. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $204,000-$306,000 USD The Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Manager, Site Reliability Engineering San Francisco, California Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. This position requires 2 days a week in our San Francisco Office. The IDaaS Site Reliability Engineering Group Okta authenticates, authorizes and provisions millions of users a day. The service is hosted on Amazon Web Services (AWS) across multiple availability zones and geographically separated regions. The service is designed for high throughput and 99.999 availability. We're looking for a technical leader to help us continue to scale the service with great people and reliable, cost-effective, and efficient infrastructure, processes, and tooling. As the Manager of Infrastructure Platform and Shared Services, you will oversee multiple teams focused on Edge networking, K8s platform, CI/CD, Observability, automation platform & tooling. What you'll be doing Managing a team of SRE's supporting various workloads and teams that support our IDaaS platform. Drive the microservice journey, DevOps maturity, and workload reliability in tandem with architects and teams across the organization. Accelerate the velocity of SRE and product engineering by developing powerful tooling, intuitive self-service capabilities, and robust self-healing patterns. Lead, mentor, and grow a high-performing team of engineers and managers across platform, infrastructure, and shared services domains. Perform engineering design evaluations and ensure the completion of projects within resource, budget, and scheduling constraints. Improve SDLC processes for Cloud infrastructure as a code, including the maturity of CI/CD pipelines, change and release management Manage service and business expectations and prioritize resource allocation Maintain a deep knowledge of industry best practices, evolving trends, and technologies What you'll bring to the role 3+ years of experience in technical leadership & people management Extensive experience using Agile and DevOps methodologies to build product infrastructure and shared service at scale Experience running large-scale infrastructure platforms supporting a SaaS/Cloud service in a public Cloud, preferably AWS. Experience supporting a multi-Cloud environment will be a plus. Strong expertise in cloud-native architectures, containerization (Kubernetes), IaC (Terraform), and CI/CD pipelines Strong background and hands-on experience in SW development, PaaS and automation Deep experience with building and operating observability platforms and monitoring tools (Grafana, Splunk, APM etc.) in a large scale environment. Effective verbal, written communication and interpersonal skills Computer Science Degree or related degree or equivalent experience Additional requirements: This position requires the ability to access federal environments and/or have access to protected federal data. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire. P24518_ Below is the annual base salary range for candidates located in San Francisco Bay Area. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $204,000-$306,000 USD The Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Manager, Site Reliability Engineering San Francisco, California Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. This position requires 2 days a week in our San Francisco Office. The IDaaS Site Reliability Engineering Group Okta authenticates, authorizes and provisions millions of users a day. The service is hosted on Amazon Web Services (AWS) across multiple availability zones and geographically separated regions. The service is designed for high throughput and 99.999 availability. We're looking for a technical leader to help us continue to scale the service with great people and reliable, cost-effective, and efficient infrastructure, processes, and tooling. As the Manager of Infrastructure Platform and Shared Services, you will oversee multiple teams focused on Edge networking, K8s platform, CI/CD, Observability, automation platform & tooling. What you'll be doing Managing a team of SRE's supporting various workloads and teams that support our IDaaS platform. Drive the microservice journey, DevOps maturity, and workload reliability in tandem with architects and teams across the organization. Accelerate the velocity of SRE and product engineering by developing powerful tooling, intuitive self-service capabilities, and robust self-healing patterns. Lead, mentor, and grow a high-performing team of engineers and managers across platform, infrastructure, and shared services domains. Perform engineering design evaluations and ensure the completion of projects within resource, budget, and scheduling constraints. Improve SDLC processes for Cloud infrastructure as a code, including the maturity of CI/CD pipelines, change and release management Manage service and business expectations and prioritize resource allocation Maintain a deep knowledge of industry best practices, evolving trends, and technologies What you'll bring to the role 3+ years of experience in technical leadership & people management Extensive experience using Agile and DevOps methodologies to build product infrastructure and shared service at scale Experience running large-scale infrastructure platforms supporting a SaaS/Cloud service in a public Cloud, preferably AWS. Experience supporting a multi-Cloud environment will be a plus. Strong expertise in cloud-native architectures, containerization (Kubernetes), IaC (Terraform), and CI/CD pipelines Strong background and hands-on experience in SW development, PaaS and automation Deep experience with building and operating observability platforms and monitoring tools (Grafana, Splunk, APM etc.) in a large scale environment. Effective verbal, written communication and interpersonal skills Computer Science Degree or related degree or equivalent experience Additional requirements: This position requires the ability to access federal environments and/or have access to protected federal data. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire. P24518_ Below is the annual base salary range for candidates located in San Francisco Bay Area. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $204,000-$306,000 USD The Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Manager, Site Reliability Engineering San Francisco, California Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. This position requires 2 days a week in our San Francisco Office. The IDaaS Site Reliability Engineering Group Okta authenticates, authorizes and provisions millions of users a day. The service is hosted on Amazon Web Services (AWS) across multiple availability zones and geographically separated regions. The service is designed for high throughput and 99.999 availability. We're looking for a technical leader to help us continue to scale the service with great people and reliable, cost-effective, and efficient infrastructure, processes, and tooling. As the Manager of Infrastructure Platform and Shared Services, you will oversee multiple teams focused on Edge networking, K8s platform, CI/CD, Observability, automation platform & tooling. What you'll be doing Managing a team of SRE's supporting various workloads and teams that support our IDaaS platform. Drive the microservice journey, DevOps maturity, and workload reliability in tandem with architects and teams across the organization. Accelerate the velocity of SRE and product engineering by developing powerful tooling, intuitive self-service capabilities, and robust self-healing patterns. Lead, mentor, and grow a high-performing team of engineers and managers across platform, infrastructure, and shared services domains. Perform engineering design evaluations and ensure the completion of projects within resource, budget, and scheduling constraints. Improve SDLC processes for Cloud infrastructure as a code, including the maturity of CI/CD pipelines, change and release management Manage service and business expectations and prioritize resource allocation Maintain a deep knowledge of industry best practices, evolving trends, and technologies What you'll bring to the role 3+ years of experience in technical leadership & people management Extensive experience using Agile and DevOps methodologies to build product infrastructure and shared service at scale Experience running large-scale infrastructure platforms supporting a SaaS/Cloud service in a public Cloud, preferably AWS. Experience supporting a multi-Cloud environment will be a plus. Strong expertise in cloud-native architectures, containerization (Kubernetes), IaC (Terraform), and CI/CD pipelines Strong background and hands-on experience in SW development, PaaS and automation Deep experience with building and operating observability platforms and monitoring tools (Grafana, Splunk, APM etc.) in a large scale environment. Effective verbal, written communication and interpersonal skills Computer Science Degree or related degree or equivalent experience Additional requirements: This position requires the ability to access federal environments and/or have access to protected federal data. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire. P24518_ Below is the annual base salary range for candidates located in San Francisco Bay Area. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $204,000-$306,000 USD The Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. 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