Job Description Job Description Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide. Living our values everyday results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves. We are seeking a highly experienced Senior DevOps Engineer - Infra Services with strong operational expertise in enterprise DNS platforms to implement and support our current and future DNS & Kubernetes architecture in private cloud. You will be directly responsible for ensuring the scalability, resilience, automation, and performance optimization of our DNS & Kubernetes environment by leveraging Infrastructure-as-Code (IaC) tools like Ansible, Python and Terraform This is a deeply technical role requiring expert-level understanding of DNS, Kubernetes and extensive working knowledge on Linux Operating systems. You will also collaborate with platform and SRE teams to maintain secure, performant, and multi-tenant-isolated services that serve high-throughput, mission-critical applications. Key Responsibilities Implementand support large scale DNS Architecture that stretches private & public cloud across multiple regions. Implement and support Infoblox DDI solutions (DNS, IPAM, DHCP), Cloudflare DNS management, Google & AWS DNS services . Implement and support multi-tenant Kubernetes clusters leveraging BareMetal servers and Software defined storage protocols. Implement Infrastructure as code leveraging CI/CD automation, Ansible, Terraform/Pulumi, Python and Bash for automated provisioning of DNS services. Implementcontinuous delivery pipelines for Infrastructure updates, including patch management, service upgrade testing, and rollback procedures. Develop automated monitoring, alerting, and healing mechanisms using GitOps principles and observability stacks (e.g., Prometheus, Loki, Grafana). Harden services for high availability, disaster recovery, and scale-out operations. Perform deep-dive troubleshooting and performance analysis of Infrastructure services across hypervisors, backend storage protocols and networking layers. Be involved in Change management and Global team collaboration Participate in on-call rotation, incident response, and root cause analysis for platform reliability issues. Minimum Qualifications 5+ in managing global DNS & Kubernetes on Linux Operating Systems. Expertise with Infoblox DDI systems (or similar enterprise DNS systems), Bind9, CloudFlare, GCP and AWS DNS services. Expert knowledge in managing Kubernetes and Ubuntu Linux systems. Proven experience automating infrastructure processes and deployments using Ansible, Terraform, Python, and CI/CD pipelines , with demonstrated ability to drive and scale a culture of automation. Strong Linux (RHEL/CentOS/Ubuntu) systems engineering background with advanced scripting inPython, Bash, or Familiar with various Infrastructure technology stacks like Hypervisor Technologies (KVM, Vsphere,), storage protocols (SDS) (iSCSI, NFS, CEPH), L2/L3 Networking Strong experience supporting mission critical 24x7 customer facing production environments. Ability to write technical documentation and contribute to community wikis or knowledge bases. Preferred Qualifications Good understanding of overall Enterprise Common Infrastructure service implementations with a focus on DNS & Kubernetes. Understanding of security best practices for system patching and security compliance (e.g., CIS, NIST). Background in telco, edge cloud, or large enterprise infrastructure environments. Experience building and maintainingautomated test environments for system upgrades and DNS migrations. Bachelor's degree in computer science, IT, Engineering, or a related field preferred; equivalent experience and relevant industry certifications will also be considered. What You'll Get A collaborative team that's deeply invested in infrastructure excellence. Complex technical challenges that require creative, scalable solutions. The opportunity to shape a next-generation private cloud platform-built reliability. Access to the latest tools, frameworks, and upstream project developments. Skills and Attributes: Analytical Thinking & Problem Solving: Demonstrated ability to translate complex, cross-domain requirements into scalable and resilient cloud infrastructure and automation solutions. Collaboration & Teamwork: Strong interpersonal and communication skills with a proven track record of effective collaboration across multidisciplinary teams, including developers, operations, security, and product stakeholders. Mentorship & Leadership: Passionate about knowledge-sharing and mentorship, with experience guiding junior engineers and fostering a team culture of continuous learning, innovation, and technical excellence in cloud engineering and DevOps practices. Work Location: This role is fully remote for candidates who reside outside the 30 mile radius of one of our offices. For candidates who reside within a 30 mile radius of one of our offices, this role is Hybrid and would require 3 days a week (T, W, TH) in office. As part of our continued commitment to diversity, equity, and inclusion, Five9 supports pay transparency during the entire recruitment process. Actual compensation packages are based on several factors that are unique to each candidate including, but not limited to: skill set, depth of experience, certifications, and specific work location. The range displayed reflects the minimum and maximum target for new hire salaries for the job across the United States. Your recruiter can share more about the specific compensation package during your hiring process. Additionally, the total compensation package for this position may also include an annual performance bonus, stock, and/or other applicable incentive compensation plans. Our total reward package also includes: Health, dental, and vision coverage, beginning on the first day of employment. Five9 covers 100% of the employee portion of the health, dental and vision coverage and shares a high portion of the dependent cost. We also offer Short & Long-Term Disability, Basic Life Insurance, and a 401k saving plan with employer matching. Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching and self-guided mindfulness exercises for all covered employees and their covered dependents. Generous employee stock purchase plan. Paid Time Off, Company paid holidays, paid volunteer hours and 12 weeks paid parental leave. All compensation and benefits are subject to the requirements and restrictions set forth in the applicable plan documents and any written agreements between the parties. The US base salary range for this role is below. $90,700-$252,200 USD Five9 embraces diversity and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better we are. Five9 is an equal opportunity employer. Five9 is committed to providing reasonable accommodations for qualified individuals with disabilities throughout the application and interview process. If you need assistance or an accommodation due to a disability, please contact us at to request an accommodation. Requests will be handled confidentially and in accordance with applicable law. View our privacy policy, including our privacy notice to California residents here: -pt/legal. Note: Five9 will never request that an applicant send money as a prerequisite for commencing employment with Five9.
10/31/2026
Full time
Job Description Job Description Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide. Living our values everyday results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves. We are seeking a highly experienced Senior DevOps Engineer - Infra Services with strong operational expertise in enterprise DNS platforms to implement and support our current and future DNS & Kubernetes architecture in private cloud. You will be directly responsible for ensuring the scalability, resilience, automation, and performance optimization of our DNS & Kubernetes environment by leveraging Infrastructure-as-Code (IaC) tools like Ansible, Python and Terraform This is a deeply technical role requiring expert-level understanding of DNS, Kubernetes and extensive working knowledge on Linux Operating systems. You will also collaborate with platform and SRE teams to maintain secure, performant, and multi-tenant-isolated services that serve high-throughput, mission-critical applications. Key Responsibilities Implementand support large scale DNS Architecture that stretches private & public cloud across multiple regions. Implement and support Infoblox DDI solutions (DNS, IPAM, DHCP), Cloudflare DNS management, Google & AWS DNS services . Implement and support multi-tenant Kubernetes clusters leveraging BareMetal servers and Software defined storage protocols. Implement Infrastructure as code leveraging CI/CD automation, Ansible, Terraform/Pulumi, Python and Bash for automated provisioning of DNS services. Implementcontinuous delivery pipelines for Infrastructure updates, including patch management, service upgrade testing, and rollback procedures. Develop automated monitoring, alerting, and healing mechanisms using GitOps principles and observability stacks (e.g., Prometheus, Loki, Grafana). Harden services for high availability, disaster recovery, and scale-out operations. Perform deep-dive troubleshooting and performance analysis of Infrastructure services across hypervisors, backend storage protocols and networking layers. Be involved in Change management and Global team collaboration Participate in on-call rotation, incident response, and root cause analysis for platform reliability issues. Minimum Qualifications 5+ in managing global DNS & Kubernetes on Linux Operating Systems. Expertise with Infoblox DDI systems (or similar enterprise DNS systems), Bind9, CloudFlare, GCP and AWS DNS services. Expert knowledge in managing Kubernetes and Ubuntu Linux systems. Proven experience automating infrastructure processes and deployments using Ansible, Terraform, Python, and CI/CD pipelines , with demonstrated ability to drive and scale a culture of automation. Strong Linux (RHEL/CentOS/Ubuntu) systems engineering background with advanced scripting inPython, Bash, or Familiar with various Infrastructure technology stacks like Hypervisor Technologies (KVM, Vsphere,), storage protocols (SDS) (iSCSI, NFS, CEPH), L2/L3 Networking Strong experience supporting mission critical 24x7 customer facing production environments. Ability to write technical documentation and contribute to community wikis or knowledge bases. Preferred Qualifications Good understanding of overall Enterprise Common Infrastructure service implementations with a focus on DNS & Kubernetes. Understanding of security best practices for system patching and security compliance (e.g., CIS, NIST). Background in telco, edge cloud, or large enterprise infrastructure environments. Experience building and maintainingautomated test environments for system upgrades and DNS migrations. Bachelor's degree in computer science, IT, Engineering, or a related field preferred; equivalent experience and relevant industry certifications will also be considered. What You'll Get A collaborative team that's deeply invested in infrastructure excellence. Complex technical challenges that require creative, scalable solutions. The opportunity to shape a next-generation private cloud platform-built reliability. Access to the latest tools, frameworks, and upstream project developments. Skills and Attributes: Analytical Thinking & Problem Solving: Demonstrated ability to translate complex, cross-domain requirements into scalable and resilient cloud infrastructure and automation solutions. Collaboration & Teamwork: Strong interpersonal and communication skills with a proven track record of effective collaboration across multidisciplinary teams, including developers, operations, security, and product stakeholders. Mentorship & Leadership: Passionate about knowledge-sharing and mentorship, with experience guiding junior engineers and fostering a team culture of continuous learning, innovation, and technical excellence in cloud engineering and DevOps practices. Work Location: This role is fully remote for candidates who reside outside the 30 mile radius of one of our offices. For candidates who reside within a 30 mile radius of one of our offices, this role is Hybrid and would require 3 days a week (T, W, TH) in office. As part of our continued commitment to diversity, equity, and inclusion, Five9 supports pay transparency during the entire recruitment process. Actual compensation packages are based on several factors that are unique to each candidate including, but not limited to: skill set, depth of experience, certifications, and specific work location. The range displayed reflects the minimum and maximum target for new hire salaries for the job across the United States. Your recruiter can share more about the specific compensation package during your hiring process. Additionally, the total compensation package for this position may also include an annual performance bonus, stock, and/or other applicable incentive compensation plans. Our total reward package also includes: Health, dental, and vision coverage, beginning on the first day of employment. Five9 covers 100% of the employee portion of the health, dental and vision coverage and shares a high portion of the dependent cost. We also offer Short & Long-Term Disability, Basic Life Insurance, and a 401k saving plan with employer matching. Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching and self-guided mindfulness exercises for all covered employees and their covered dependents. Generous employee stock purchase plan. Paid Time Off, Company paid holidays, paid volunteer hours and 12 weeks paid parental leave. All compensation and benefits are subject to the requirements and restrictions set forth in the applicable plan documents and any written agreements between the parties. The US base salary range for this role is below. $90,700-$252,200 USD Five9 embraces diversity and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better we are. Five9 is an equal opportunity employer. Five9 is committed to providing reasonable accommodations for qualified individuals with disabilities throughout the application and interview process. If you need assistance or an accommodation due to a disability, please contact us at to request an accommodation. Requests will be handled confidentially and in accordance with applicable law. View our privacy policy, including our privacy notice to California residents here: -pt/legal. Note: Five9 will never request that an applicant send money as a prerequisite for commencing employment with Five9.
Job Description Job Description Job Title: Solr/OpenSearch Engineer Req ID: 114555-1 Location: Sunnyvale, CA / Austin TX Duration: 6 Months Pay Rate: $55/hr - $58/hr on W2/C2C (All Inclusive) We are seeking a highly skilled Solr/OpenSearch Engineer with strong experience in search platform administration, distributed systems, cloud infrastructure, and automation. The ideal candidate will be responsible for managing, optimizing, troubleshooting, and scaling enterprise search environments built on Apache Solr and/or OpenSearch . The candidate should possess strong programming skills in Java and Python , hands-on expertise with cloud platforms, modern DevOps practices, Infrastructure-as-Code, containerization technologies, and AI-assisted development tools. Key Responsibilities Administer, support, and optimize enterprise Solr and OpenSearch clusters in production environments. Design and manage search infrastructure including: Sharding Replication Indexing Cluster Scaling High Availability Monitor search platform health, performance, capacity, and availability. Develop and maintain automation scripts using Python and Java . Troubleshoot indexing, query performance, cluster health, and node failures. Implement and manage: Index Lifecycle Management (ILM) Index State Management (ISM) Query Optimization Snapshot and Restore Strategies Work with REST APIs and Query DSL to build and manage search solutions. Deploy and manage infrastructure using Terraform, CloudFormation, or Ansible . Support CI/CD automation pipelines and release processes. Implement monitoring and observability using: Prometheus Grafana CloudWatch Collaborate with developers, architects, and infrastructure teams to improve search performance and reliability. Utilize AI-assisted tools such as GitHub Copilot and Claude to accelerate development and operational efficiency. Participate in root cause analysis, incident management, and production support activities. Required SkillsSearch Technologies Apache Solr OpenSearch Elasticsearch Concepts Search Optimization Index Management Query DSL REST APIs Programming Java Python Cloud Platforms AWS EC2 IAM VPC S3 CloudWatch DevOps & Automation Terraform Ansible CloudFormation CI/CD Pipelines Git Containers & Orchestration Docker Kubernetes Monitoring & Observability Prometheus Grafana CloudWatch Distributed Systems Sharding Replication Consistency Models Cluster Topology Fault Tolerance Required Qualifications 5 years of hands-on experience supporting and administering Solr and/or OpenSearch environments. Strong programming experience in Java and Python . Experience managing large-scale distributed search platforms. Hands-on experience with AWS cloud services. Experience managing clusters in AWS and at least one non-AWS cloud environment (GCP preferred). Strong troubleshooting and performance tuning experience. Experience implementing Infrastructure-as-Code solutions. Working knowledge of containerized environments using Docker and Kubernetes. Strong understanding of software development lifecycle and Git-based code management. Preferred Qualifications Experience with Elasticsearch/OpenSearch migrations. Experience with AI-assisted development tools such as Claude or GitHub Copilot. Experience building highly available and scalable search platforms. Exposure to Site Reliability Engineering (SRE) practices. AWS Certification or Cloud Certification. Experience in enterprise production environments supporting mission-critical applications.
10/31/2026
Full time
Job Description Job Description Job Title: Solr/OpenSearch Engineer Req ID: 114555-1 Location: Sunnyvale, CA / Austin TX Duration: 6 Months Pay Rate: $55/hr - $58/hr on W2/C2C (All Inclusive) We are seeking a highly skilled Solr/OpenSearch Engineer with strong experience in search platform administration, distributed systems, cloud infrastructure, and automation. The ideal candidate will be responsible for managing, optimizing, troubleshooting, and scaling enterprise search environments built on Apache Solr and/or OpenSearch . The candidate should possess strong programming skills in Java and Python , hands-on expertise with cloud platforms, modern DevOps practices, Infrastructure-as-Code, containerization technologies, and AI-assisted development tools. Key Responsibilities Administer, support, and optimize enterprise Solr and OpenSearch clusters in production environments. Design and manage search infrastructure including: Sharding Replication Indexing Cluster Scaling High Availability Monitor search platform health, performance, capacity, and availability. Develop and maintain automation scripts using Python and Java . Troubleshoot indexing, query performance, cluster health, and node failures. Implement and manage: Index Lifecycle Management (ILM) Index State Management (ISM) Query Optimization Snapshot and Restore Strategies Work with REST APIs and Query DSL to build and manage search solutions. Deploy and manage infrastructure using Terraform, CloudFormation, or Ansible . Support CI/CD automation pipelines and release processes. Implement monitoring and observability using: Prometheus Grafana CloudWatch Collaborate with developers, architects, and infrastructure teams to improve search performance and reliability. Utilize AI-assisted tools such as GitHub Copilot and Claude to accelerate development and operational efficiency. Participate in root cause analysis, incident management, and production support activities. Required SkillsSearch Technologies Apache Solr OpenSearch Elasticsearch Concepts Search Optimization Index Management Query DSL REST APIs Programming Java Python Cloud Platforms AWS EC2 IAM VPC S3 CloudWatch DevOps & Automation Terraform Ansible CloudFormation CI/CD Pipelines Git Containers & Orchestration Docker Kubernetes Monitoring & Observability Prometheus Grafana CloudWatch Distributed Systems Sharding Replication Consistency Models Cluster Topology Fault Tolerance Required Qualifications 5 years of hands-on experience supporting and administering Solr and/or OpenSearch environments. Strong programming experience in Java and Python . Experience managing large-scale distributed search platforms. Hands-on experience with AWS cloud services. Experience managing clusters in AWS and at least one non-AWS cloud environment (GCP preferred). Strong troubleshooting and performance tuning experience. Experience implementing Infrastructure-as-Code solutions. Working knowledge of containerized environments using Docker and Kubernetes. Strong understanding of software development lifecycle and Git-based code management. Preferred Qualifications Experience with Elasticsearch/OpenSearch migrations. Experience with AI-assisted development tools such as Claude or GitHub Copilot. Experience building highly available and scalable search platforms. Exposure to Site Reliability Engineering (SRE) practices. AWS Certification or Cloud Certification. Experience in enterprise production environments supporting mission-critical applications.
Job Description Job Description Developer & Infrastructure Expert Role Type: Contractor Location: Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform engineering. You will test AI-generated commands, configurations, and workflows and provide practical feedback based on real-world engineering standards. No prior AI experience is required-your technical expertise and infrastructure knowledge are what matter most. Key Responsibilities Test and validate AI-assisted workflows across DevOps, cloud, infrastructure, and platform engineering . Evaluate AI-generated commands, configurations, scripts, and deployment workflows for accuracy and reliability. Work with AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD environments. Review workflows involving GitHub, GitLab, Azure DevOps, and JIRA . Assess AI agents and workplace connectors across tools such as Slack, Google Drive, and Microsoft 365. Identify technical errors, security or reliability concerns, and workflow gaps. Document findings and provide clear, actionable feedback. Recommend improvements based on real-world engineering practices and industry standards. Collaborate remotely with project stakeholders through written evaluations and virtual discussions. Required Skills Azure DevOps Cloud Infrastructure Site Reliability Engineering (SRE) Platform Engineering AWS / Azure / GCP Kubernetes / Docker Terraform CI/CD GitHub / GitLab / JIRA Observability ChatGPT Work Claude Code Claude Cowork AI Agents Workplace Connectors Preferred Qualifications Professional experience in software engineering, DevOps, SRE, cloud, platform, or infrastructure engineering . Hands-on experience with major cloud platforms, Kubernetes, Docker, Terraform, CI/CD, and observability tools. Experience with developer workflow and project management platforms such as GitHub, GitLab, Azure DevOps, and JIRA. Experience using AI agents such as ChatGPT, Claude Code, Claude Cowork, or Codex in development or infrastructure workflows. Strong ability to evaluate technical processes and provide actionable feedback. Excellent written and verbal communication skills. Experience with workplace connectors, automation, or AI-powered infrastructure workflows is a plus.
10/31/2026
Full time
Job Description Job Description Developer & Infrastructure Expert Role Type: Contractor Location: Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform engineering. You will test AI-generated commands, configurations, and workflows and provide practical feedback based on real-world engineering standards. No prior AI experience is required-your technical expertise and infrastructure knowledge are what matter most. Key Responsibilities Test and validate AI-assisted workflows across DevOps, cloud, infrastructure, and platform engineering . Evaluate AI-generated commands, configurations, scripts, and deployment workflows for accuracy and reliability. Work with AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD environments. Review workflows involving GitHub, GitLab, Azure DevOps, and JIRA . Assess AI agents and workplace connectors across tools such as Slack, Google Drive, and Microsoft 365. Identify technical errors, security or reliability concerns, and workflow gaps. Document findings and provide clear, actionable feedback. Recommend improvements based on real-world engineering practices and industry standards. Collaborate remotely with project stakeholders through written evaluations and virtual discussions. Required Skills Azure DevOps Cloud Infrastructure Site Reliability Engineering (SRE) Platform Engineering AWS / Azure / GCP Kubernetes / Docker Terraform CI/CD GitHub / GitLab / JIRA Observability ChatGPT Work Claude Code Claude Cowork AI Agents Workplace Connectors Preferred Qualifications Professional experience in software engineering, DevOps, SRE, cloud, platform, or infrastructure engineering . Hands-on experience with major cloud platforms, Kubernetes, Docker, Terraform, CI/CD, and observability tools. Experience with developer workflow and project management platforms such as GitHub, GitLab, Azure DevOps, and JIRA. Experience using AI agents such as ChatGPT, Claude Code, Claude Cowork, or Codex in development or infrastructure workflows. Strong ability to evaluate technical processes and provide actionable feedback. Excellent written and verbal communication skills. Experience with workplace connectors, automation, or AI-powered infrastructure workflows is a plus.
Job Description Job Description Developer & Infrastructure Expert Role Type: Contractor Location: Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform engineering. You will test AI-generated commands, configurations, and workflows and provide practical feedback based on real-world engineering standards. No prior AI experience is required-your technical expertise and infrastructure knowledge are what matter most. Key Responsibilities Test and validate AI-assisted workflows across DevOps, cloud, infrastructure, and platform engineering . Evaluate AI-generated commands, configurations, scripts, and deployment workflows for accuracy and reliability. Work with AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD environments. Review workflows involving GitHub, GitLab, Azure DevOps, and JIRA . Assess AI agents and workplace connectors across tools such as Slack, Google Drive, and Microsoft 365. Identify technical errors, security or reliability concerns, and workflow gaps. Document findings and provide clear, actionable feedback. Recommend improvements based on real-world engineering practices and industry standards. Collaborate remotely with project stakeholders through written evaluations and virtual discussions. Required Skills Azure DevOps Cloud Infrastructure Site Reliability Engineering (SRE) Platform Engineering AWS / Azure / GCP Kubernetes / Docker Terraform CI/CD GitHub / GitLab / JIRA Observability ChatGPT Work Claude Code Claude Cowork AI Agents Workplace Connectors Preferred Qualifications Professional experience in software engineering, DevOps, SRE, cloud, platform, or infrastructure engineering . Hands-on experience with major cloud platforms, Kubernetes, Docker, Terraform, CI/CD, and observability tools. Experience with developer workflow and project management platforms such as GitHub, GitLab, Azure DevOps, and JIRA. Experience using AI agents such as ChatGPT, Claude Code, Claude Cowork, or Codex in development or infrastructure workflows. Strong ability to evaluate technical processes and provide actionable feedback. Excellent written and verbal communication skills. Experience with workplace connectors, automation, or AI-powered infrastructure workflows is a plus.
10/31/2026
Full time
Job Description Job Description Developer & Infrastructure Expert Role Type: Contractor Location: Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform engineering. You will test AI-generated commands, configurations, and workflows and provide practical feedback based on real-world engineering standards. No prior AI experience is required-your technical expertise and infrastructure knowledge are what matter most. Key Responsibilities Test and validate AI-assisted workflows across DevOps, cloud, infrastructure, and platform engineering . Evaluate AI-generated commands, configurations, scripts, and deployment workflows for accuracy and reliability. Work with AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD environments. Review workflows involving GitHub, GitLab, Azure DevOps, and JIRA . Assess AI agents and workplace connectors across tools such as Slack, Google Drive, and Microsoft 365. Identify technical errors, security or reliability concerns, and workflow gaps. Document findings and provide clear, actionable feedback. Recommend improvements based on real-world engineering practices and industry standards. Collaborate remotely with project stakeholders through written evaluations and virtual discussions. Required Skills Azure DevOps Cloud Infrastructure Site Reliability Engineering (SRE) Platform Engineering AWS / Azure / GCP Kubernetes / Docker Terraform CI/CD GitHub / GitLab / JIRA Observability ChatGPT Work Claude Code Claude Cowork AI Agents Workplace Connectors Preferred Qualifications Professional experience in software engineering, DevOps, SRE, cloud, platform, or infrastructure engineering . Hands-on experience with major cloud platforms, Kubernetes, Docker, Terraform, CI/CD, and observability tools. Experience with developer workflow and project management platforms such as GitHub, GitLab, Azure DevOps, and JIRA. Experience using AI agents such as ChatGPT, Claude Code, Claude Cowork, or Codex in development or infrastructure workflows. Strong ability to evaluate technical processes and provide actionable feedback. Excellent written and verbal communication skills. Experience with workplace connectors, automation, or AI-powered infrastructure workflows is a plus.
Job Description Job Description About Knightscope Knightscope (NASDAQ: KSCP) is a security technology company building the nation's first Autonomous Security Force - autonomous machines, AI-driven software, and elite security professionals operating as one integrated managed service. The Company is on a mission to make the United States of America the safest country in the world. One Team. One Force. Job Summary Knightscope is standing up a centralized Engineering Services function to support the full product portfolio: Signals, K7/Nav, H1, K5, K3, K1-family, KSOC, KEMS, and OpenExO. This role owns the shared DevOps and platform foundation every one of those programs depends on. You will consolidate today's fragmented pipelines into one durable platform, engineered to make every program faster, safer, and more consistent. About the Role Knightscope is standing up a centralized Engineering Services function to support the full product portfolio: Signals, K7/Nav, H1, K5, K3, K1-family, KSOC, KEMS, and OpenExO. This role owns the shared DevOps and platform foundation every one of those programs depends on. You will consolidate today's fragmented pipelines into one durable platform, engineered to make every program faster, safer, and more consistent. Key Responsibilities Design, build, and operate the shared CI/CD pipeline serving Signals, K7/Nav, and Legacy. Own the cloud infrastructure that runs Knightscope's SaaS platforms and internal tooling. Standardize containerization, orchestration, and infrastructure-as-code across programs. Partner with Security and Compliance on platform hardening. Partner with Fleet and Release Automation on OTA delivery connected to cloud pipelines. Build platform observability and metrics that reveal reality without guessing. Required Qualifications 7+ years in DevOps, Platform, or SRE with senior ownership of production infrastructure. Deep hands-on cloud experience (AWS preferred). Containers, Kubernetes, and infrastructure-as-code (Terraform or equivalent). Strong CI/CD pipeline design with fast feedback loops and safe deployments. Track record supporting multiple product teams from a shared platform. Nice to Have Video or streaming infrastructure at scale. Robotics, IoT, or connected-device fleets. SOC 2 or comparable regulated environment. Prior experience insourcing a platform from a third-party vendor. Compensation & Benefits Base Salary: $165,000 to $195,000 (DOE) Equity: Stock options Benefits: Medical, dental, vision, 401(k), paid time off Location Requirement: Full-time, on-site at Sunnyvale HQ
10/31/2026
Full time
Job Description Job Description About Knightscope Knightscope (NASDAQ: KSCP) is a security technology company building the nation's first Autonomous Security Force - autonomous machines, AI-driven software, and elite security professionals operating as one integrated managed service. The Company is on a mission to make the United States of America the safest country in the world. One Team. One Force. Job Summary Knightscope is standing up a centralized Engineering Services function to support the full product portfolio: Signals, K7/Nav, H1, K5, K3, K1-family, KSOC, KEMS, and OpenExO. This role owns the shared DevOps and platform foundation every one of those programs depends on. You will consolidate today's fragmented pipelines into one durable platform, engineered to make every program faster, safer, and more consistent. About the Role Knightscope is standing up a centralized Engineering Services function to support the full product portfolio: Signals, K7/Nav, H1, K5, K3, K1-family, KSOC, KEMS, and OpenExO. This role owns the shared DevOps and platform foundation every one of those programs depends on. You will consolidate today's fragmented pipelines into one durable platform, engineered to make every program faster, safer, and more consistent. Key Responsibilities Design, build, and operate the shared CI/CD pipeline serving Signals, K7/Nav, and Legacy. Own the cloud infrastructure that runs Knightscope's SaaS platforms and internal tooling. Standardize containerization, orchestration, and infrastructure-as-code across programs. Partner with Security and Compliance on platform hardening. Partner with Fleet and Release Automation on OTA delivery connected to cloud pipelines. Build platform observability and metrics that reveal reality without guessing. Required Qualifications 7+ years in DevOps, Platform, or SRE with senior ownership of production infrastructure. Deep hands-on cloud experience (AWS preferred). Containers, Kubernetes, and infrastructure-as-code (Terraform or equivalent). Strong CI/CD pipeline design with fast feedback loops and safe deployments. Track record supporting multiple product teams from a shared platform. Nice to Have Video or streaming infrastructure at scale. Robotics, IoT, or connected-device fleets. SOC 2 or comparable regulated environment. Prior experience insourcing a platform from a third-party vendor. Compensation & Benefits Base Salary: $165,000 to $195,000 (DOE) Equity: Stock options Benefits: Medical, dental, vision, 401(k), paid time off Location Requirement: Full-time, on-site at Sunnyvale HQ
Job Description Job Description About Knightscope Knightscope (NASDAQ: KSCP) is a security technology company building the nation's first Autonomous Security Force: autonomous machines, AI-driven software, and elite security professionals operating as one integrated managed service. The Company is on a mission to make the United States of America the safest country in the world. One Team. One Force. Job Summary Knightscope is standing up a centralized Engineering Services function to support the full product portfolio: Signals, K7/Nav, H1, K5, K3, K1-family, KSOC, KEMS, and OpenExO. This role owns the shared DevOps and platform foundation every one of those programs depends on. You will consolidate today's fragmented pipelines into one durable platform, engineered to make every program faster, safer, and more consistent. Location: ONSITE - Sunnyvale, CA About the Role Knightscope is standing up a centralized Engineering Services function to support the full product portfolio: Signals, K7/Nav, H1, K5, K3, K1-family, KSOC, KEMS, and OpenExO. This role owns the shared DevOps and platform foundation every one of those programs depends on. You will consolidate today's fragmented pipelines into one durable platform, engineered to make every program faster, safer, and more consistent. Key Responsibilities Design, build, and operate the shared CI/CD pipeline serving Signals, K7/Nav, and Legacy. Own the cloud infrastructure that runs Knightscope's SaaS platforms and internal tooling. Standardize containerization, orchestration, and infrastructure-as-code across programs. Partner with Security and Compliance on platform hardening. Partner with Fleet and Release Automation on OTA delivery connected to cloud pipelines. Build platform observability and metrics that reveal reality without guessing. Required Qualifications 7+ years in DevOps, Platform, or SRE with senior ownership of production infrastructure. Deep hands-on cloud experience (AWS preferred). Containers, Kubernetes, and infrastructure-as-code (Terraform or equivalent). Strong CI/CD pipeline design with fast feedback loops and safe deployments. Track record supporting multiple product teams from a shared platform. Nice to Have Video or streaming infrastructure at scale. Robotics, IoT, or connected-device fleets. SOC 2 or comparable regulated environment. Prior experience insourcing a platform from a third-party vendor. Compensation and Benefits Base Salary: $165,000 to $195,000 (DOE) Equity: Stock options Benefits: Medical, dental, vision, 401(k), paid time off Location Requirement: Full-time, on-site at Sunnyvale HQ
10/31/2026
Full time
Job Description Job Description About Knightscope Knightscope (NASDAQ: KSCP) is a security technology company building the nation's first Autonomous Security Force: autonomous machines, AI-driven software, and elite security professionals operating as one integrated managed service. The Company is on a mission to make the United States of America the safest country in the world. One Team. One Force. Job Summary Knightscope is standing up a centralized Engineering Services function to support the full product portfolio: Signals, K7/Nav, H1, K5, K3, K1-family, KSOC, KEMS, and OpenExO. This role owns the shared DevOps and platform foundation every one of those programs depends on. You will consolidate today's fragmented pipelines into one durable platform, engineered to make every program faster, safer, and more consistent. Location: ONSITE - Sunnyvale, CA About the Role Knightscope is standing up a centralized Engineering Services function to support the full product portfolio: Signals, K7/Nav, H1, K5, K3, K1-family, KSOC, KEMS, and OpenExO. This role owns the shared DevOps and platform foundation every one of those programs depends on. You will consolidate today's fragmented pipelines into one durable platform, engineered to make every program faster, safer, and more consistent. Key Responsibilities Design, build, and operate the shared CI/CD pipeline serving Signals, K7/Nav, and Legacy. Own the cloud infrastructure that runs Knightscope's SaaS platforms and internal tooling. Standardize containerization, orchestration, and infrastructure-as-code across programs. Partner with Security and Compliance on platform hardening. Partner with Fleet and Release Automation on OTA delivery connected to cloud pipelines. Build platform observability and metrics that reveal reality without guessing. Required Qualifications 7+ years in DevOps, Platform, or SRE with senior ownership of production infrastructure. Deep hands-on cloud experience (AWS preferred). Containers, Kubernetes, and infrastructure-as-code (Terraform or equivalent). Strong CI/CD pipeline design with fast feedback loops and safe deployments. Track record supporting multiple product teams from a shared platform. Nice to Have Video or streaming infrastructure at scale. Robotics, IoT, or connected-device fleets. SOC 2 or comparable regulated environment. Prior experience insourcing a platform from a third-party vendor. Compensation and Benefits Base Salary: $165,000 to $195,000 (DOE) Equity: Stock options Benefits: Medical, dental, vision, 401(k), paid time off Location Requirement: Full-time, on-site at Sunnyvale HQ
Job Description Job Description Developer & Infrastructure Expert Role Type: Contractor Location: Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform engineering. You will test AI-generated commands, configurations, and workflows and provide practical feedback based on real-world engineering standards. No prior AI experience is required-your technical expertise and infrastructure knowledge are what matter most. Key Responsibilities Test and validate AI-assisted workflows across DevOps, cloud, infrastructure, and platform engineering . Evaluate AI-generated commands, configurations, scripts, and deployment workflows for accuracy and reliability. Work with AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD environments. Review workflows involving GitHub, GitLab, Azure DevOps, and JIRA . Assess AI agents and workplace connectors across tools such as Slack, Google Drive, and Microsoft 365. Identify technical errors, security or reliability concerns, and workflow gaps. Document findings and provide clear, actionable feedback. Recommend improvements based on real-world engineering practices and industry standards. Collaborate remotely with project stakeholders through written evaluations and virtual discussions. Required Skills Azure DevOps Cloud Infrastructure Site Reliability Engineering (SRE) Platform Engineering AWS / Azure / GCP Kubernetes / Docker Terraform CI/CD GitHub / GitLab / JIRA Observability ChatGPT Work Claude Code Claude Cowork AI Agents Workplace Connectors Preferred Qualifications Professional experience in software engineering, DevOps, SRE, cloud, platform, or infrastructure engineering . Hands-on experience with major cloud platforms, Kubernetes, Docker, Terraform, CI/CD, and observability tools. Experience with developer workflow and project management platforms such as GitHub, GitLab, Azure DevOps, and JIRA. Experience using AI agents such as ChatGPT, Claude Code, Claude Cowork, or Codex in development or infrastructure workflows. Strong ability to evaluate technical processes and provide actionable feedback. Excellent written and verbal communication skills. Experience with workplace connectors, automation, or AI-powered infrastructure workflows is a plus.
10/31/2026
Full time
Job Description Job Description Developer & Infrastructure Expert Role Type: Contractor Location: Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform engineering. You will test AI-generated commands, configurations, and workflows and provide practical feedback based on real-world engineering standards. No prior AI experience is required-your technical expertise and infrastructure knowledge are what matter most. Key Responsibilities Test and validate AI-assisted workflows across DevOps, cloud, infrastructure, and platform engineering . Evaluate AI-generated commands, configurations, scripts, and deployment workflows for accuracy and reliability. Work with AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD environments. Review workflows involving GitHub, GitLab, Azure DevOps, and JIRA . Assess AI agents and workplace connectors across tools such as Slack, Google Drive, and Microsoft 365. Identify technical errors, security or reliability concerns, and workflow gaps. Document findings and provide clear, actionable feedback. Recommend improvements based on real-world engineering practices and industry standards. Collaborate remotely with project stakeholders through written evaluations and virtual discussions. Required Skills Azure DevOps Cloud Infrastructure Site Reliability Engineering (SRE) Platform Engineering AWS / Azure / GCP Kubernetes / Docker Terraform CI/CD GitHub / GitLab / JIRA Observability ChatGPT Work Claude Code Claude Cowork AI Agents Workplace Connectors Preferred Qualifications Professional experience in software engineering, DevOps, SRE, cloud, platform, or infrastructure engineering . Hands-on experience with major cloud platforms, Kubernetes, Docker, Terraform, CI/CD, and observability tools. Experience with developer workflow and project management platforms such as GitHub, GitLab, Azure DevOps, and JIRA. Experience using AI agents such as ChatGPT, Claude Code, Claude Cowork, or Codex in development or infrastructure workflows. Strong ability to evaluate technical processes and provide actionable feedback. Excellent written and verbal communication skills. Experience with workplace connectors, automation, or AI-powered infrastructure workflows is a plus.
Job Description Job Description Cloud DevOps Engineer Location: USA - Remote Reports to: Sr. Director of Engineering Type: Full-time ABOUT VIRTANA: Virtana is the leader in observability for hybrid infrastructure. The AI-powered Virtana Platform delivers a unified view across applications, services, and underlying infrastructure, correlating user impact, service dependencies, performance bottlenecks, and cost drivers in real time. Trusted by Global 2000 enterprises, Virtana empowers IT, operations, and platform teams improve efficiency, reduce risk, and make faster, AI-driven decisions across complex, dynamic environments. Learn more at Virtana is proud to be an Equal Opportunity Employer. We value diversity and are committed to creating an inclusive environment for all employees Recent milestones include: The acquisition of Zenoss to create a unified observability platform combining deep infrastructure analytics, AI-driven event intelligence, and service-level visibility Launching AI Factory Observability (AIFO) to meet the demanding visibility, performance, cost, and risk challenges of AI infrastructure, including tight integration with GPU workloads and modern hybrid environments Virtana is trusted by Global 2000 enterprises to optimize performance, reduce risk, and control costs-helping them drive business outcomes with complete observability across every layer of infrastructure MISSION & WHAT WE BELIEVE: Virtana's mission is to empower IT, operations, and platform engineering teams to see everything, understand everything, and act with confidence, especially in complex, hybrid, and AI-intensive environments. The company believes: Observability isn't optional in modern infrastructure; it's foundational Deep, correlated visibility (across computing, storage, network, service/app dependencies, AI workloads) drives better performance, cost efficiency, and risk mitigation AI/ML, topology mapping, event intelligence, root cause analysis, and cost forecasting are essential differentiators Customers want not just metrics, but insight, predictability, and control ROLE OVERVIEW: Virtana is seeking a Cloud DevOps Engineer to help build, automate, and operate the Google Cloud Platform (GCP) infrastructure that runs the Virtana Platform. You will join our Cloud DevOps team and own infrastructure as code with Terraform, CI/CD pipelines, Kubernetes (GKE) operations, and observability for our SaaS environments. You will work closely with product engineering, QA, and security to deliver reliable, secure, and cost-efficient releases, and to keep improving how we build and ship software ROLE RESPONSIBILITIES: Design, build, and maintain GCP infrastructure (GKE, Compute Engine, Cloud SQL, Cloud Storage, VPC, IAM, Cloud Load Balancing) using Terraform as the standard for infrastructure as code Develop and maintain reusable Terraform modules, manage remote state, and enforce code review, testing, and drift detection for all infrastructure changes Build and improve CI/CD pipelines for build, test, and release automation across product engineering teams Implement monitoring, logging, and alerting (Cloud Monitoring/Logging, Prometheus, Grafana) to ensure the availability and performance of production environments Participate in the on-call rotation, lead incident response and root cause analysis, and drive remediation to prevent recurrence Apply security best practices across the cloud environment, including least-privilege IAM, secrets management, network policies, and vulnerability remediation, in support of SOC 2 compliance Track and optimize cloud spend through rightsizing, committed-use planning, and resource hygiene Automate repetitive operational tasks with scripting (Python, Bash, or Go) and configuration management tools Partner with development and QA teams to define release pipelines, environments, and test frameworks Document architecture, runbooks, and standard operating procedures REQUIRED QUALIFICATIONS: At least 5+ years of experience in DevOps, Site Reliability, or Cloud Infrastructure Engineering Terraform: Strong, hands-on experience writing and maintaining production Terraform, including modules, remote state, workspaces, and CI-driven plan/apply workflows Google Cloud Platform: Hands-on experience designing and operating production workloads on GCP, including GKE, IAM, VPC networking, Cloud SQL, and Cloud Storage Solid experience with containers (Docker) and orchestration (Kubernetes), including Helm Experience building CI/CD pipelines (GitHub Actions, Jenkins, or similar) Deep knowledge of Git and branching/release workflows Proficiency in at least one scripting language (Python, Bash, or Go) Understanding of networking fundamentals (DNS, load balancing, TCP/IP, firewalls, VPN) EDUCATION: Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience NICE TO HAVE: Google Cloud Professional Cloud DevOps Engineer or Professional Cloud Architect certification Experience with AWS or Azure in a multi-cloud or hybrid environment Experience with configuration management (Ansible, Puppet, or similar) Experience with policy as code and security scanning (OPA, Checkov, tfsec, Trivy) Familiarity with SOC 2 or similar compliance frameworks Experience supporting SaaS observability or monitoring products WHY JOIN VIRTANA? Opportunity to shape the cloud platform that powers our SaaS products Work in an innovative, collaborative, and flexible environment Competitive compensation and equity opportunities We are an equal opportunity employer, and we are an organization that values diversity. We welcome applications from all qualified candidates, including minorities and persons with disabilities. req26-00738
10/31/2026
Full time
Job Description Job Description Cloud DevOps Engineer Location: USA - Remote Reports to: Sr. Director of Engineering Type: Full-time ABOUT VIRTANA: Virtana is the leader in observability for hybrid infrastructure. The AI-powered Virtana Platform delivers a unified view across applications, services, and underlying infrastructure, correlating user impact, service dependencies, performance bottlenecks, and cost drivers in real time. Trusted by Global 2000 enterprises, Virtana empowers IT, operations, and platform teams improve efficiency, reduce risk, and make faster, AI-driven decisions across complex, dynamic environments. Learn more at Virtana is proud to be an Equal Opportunity Employer. We value diversity and are committed to creating an inclusive environment for all employees Recent milestones include: The acquisition of Zenoss to create a unified observability platform combining deep infrastructure analytics, AI-driven event intelligence, and service-level visibility Launching AI Factory Observability (AIFO) to meet the demanding visibility, performance, cost, and risk challenges of AI infrastructure, including tight integration with GPU workloads and modern hybrid environments Virtana is trusted by Global 2000 enterprises to optimize performance, reduce risk, and control costs-helping them drive business outcomes with complete observability across every layer of infrastructure MISSION & WHAT WE BELIEVE: Virtana's mission is to empower IT, operations, and platform engineering teams to see everything, understand everything, and act with confidence, especially in complex, hybrid, and AI-intensive environments. The company believes: Observability isn't optional in modern infrastructure; it's foundational Deep, correlated visibility (across computing, storage, network, service/app dependencies, AI workloads) drives better performance, cost efficiency, and risk mitigation AI/ML, topology mapping, event intelligence, root cause analysis, and cost forecasting are essential differentiators Customers want not just metrics, but insight, predictability, and control ROLE OVERVIEW: Virtana is seeking a Cloud DevOps Engineer to help build, automate, and operate the Google Cloud Platform (GCP) infrastructure that runs the Virtana Platform. You will join our Cloud DevOps team and own infrastructure as code with Terraform, CI/CD pipelines, Kubernetes (GKE) operations, and observability for our SaaS environments. You will work closely with product engineering, QA, and security to deliver reliable, secure, and cost-efficient releases, and to keep improving how we build and ship software ROLE RESPONSIBILITIES: Design, build, and maintain GCP infrastructure (GKE, Compute Engine, Cloud SQL, Cloud Storage, VPC, IAM, Cloud Load Balancing) using Terraform as the standard for infrastructure as code Develop and maintain reusable Terraform modules, manage remote state, and enforce code review, testing, and drift detection for all infrastructure changes Build and improve CI/CD pipelines for build, test, and release automation across product engineering teams Implement monitoring, logging, and alerting (Cloud Monitoring/Logging, Prometheus, Grafana) to ensure the availability and performance of production environments Participate in the on-call rotation, lead incident response and root cause analysis, and drive remediation to prevent recurrence Apply security best practices across the cloud environment, including least-privilege IAM, secrets management, network policies, and vulnerability remediation, in support of SOC 2 compliance Track and optimize cloud spend through rightsizing, committed-use planning, and resource hygiene Automate repetitive operational tasks with scripting (Python, Bash, or Go) and configuration management tools Partner with development and QA teams to define release pipelines, environments, and test frameworks Document architecture, runbooks, and standard operating procedures REQUIRED QUALIFICATIONS: At least 5+ years of experience in DevOps, Site Reliability, or Cloud Infrastructure Engineering Terraform: Strong, hands-on experience writing and maintaining production Terraform, including modules, remote state, workspaces, and CI-driven plan/apply workflows Google Cloud Platform: Hands-on experience designing and operating production workloads on GCP, including GKE, IAM, VPC networking, Cloud SQL, and Cloud Storage Solid experience with containers (Docker) and orchestration (Kubernetes), including Helm Experience building CI/CD pipelines (GitHub Actions, Jenkins, or similar) Deep knowledge of Git and branching/release workflows Proficiency in at least one scripting language (Python, Bash, or Go) Understanding of networking fundamentals (DNS, load balancing, TCP/IP, firewalls, VPN) EDUCATION: Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience NICE TO HAVE: Google Cloud Professional Cloud DevOps Engineer or Professional Cloud Architect certification Experience with AWS or Azure in a multi-cloud or hybrid environment Experience with configuration management (Ansible, Puppet, or similar) Experience with policy as code and security scanning (OPA, Checkov, tfsec, Trivy) Familiarity with SOC 2 or similar compliance frameworks Experience supporting SaaS observability or monitoring products WHY JOIN VIRTANA? Opportunity to shape the cloud platform that powers our SaaS products Work in an innovative, collaborative, and flexible environment Competitive compensation and equity opportunities We are an equal opportunity employer, and we are an organization that values diversity. We welcome applications from all qualified candidates, including minorities and persons with disabilities. req26-00738
Job Description Job Description Job Title: DevOps Engineer Duration : Contract to Hire Location : Pittsburgh, PA, Cleveland, OH, or Dallas, TX. Work Mode : 5 Days Onsite Years Of Exp : 8+ Yrs Job Description: We are seeking a DevOps Engineer to design, build, and maintain CI/CD pipelines that enable secure and automated software delivery across enterprise environments. The role involves managing containerized applications, implementing automation and monitoring solutions, and collaborating with cross-functional teams to ensure reliable and compliant production systems. Duties and Responsibilities Design, build, and maintain CI/CD pipelines to enable automated and reliable software delivery across environments Implement and manage containerized workloads using Docker and Kubernetes/OpenShift (OCP) Develop automation scripts and tools using Python, Shell, or PowerShell to reduce manual effort and improve efficiency Manage environment promotion and release processes across Dev, QA, UAT, and Production Implement monitoring, logging, and observability solutions to ensure system health and performance Support incident management, troubleshooting, and root cause analysis for production systems Ensure security, compliance, and DevSecOps best practices are embedded in CI/CD pipelines Collaborate with development, QA, SRE, and security teams to improve delivery and operational stability Participate in on-call rotations and support production reliability Drive continuous improvement in automation, scalability, and system resilience Required Qualifications 6 plus years of experience in DevOps, Cloud Engineering, or Site Reliability Engineering (SRE) Strong experience in designing and managing CI/CD pipelines using tools such as Jenkins, GitHub Actions, GitLab CI, or Azure DevOps Hands-on experience with containerization technologies including Docker and Kubernetes/OpenShift (OCP) Strong proficiency in scripting and automation using Python, Shell, or PowerShell Experience managing application deployments across Dev, QA, UAT, and Production environments Good understanding of Linux systems, networking fundamentals, and system administration Experience with monitoring, logging, and observability tools (e.g., ELK, Application Insights, Prometheus, Grafana) Knowledge of DevSecOps practices, including vulnerability scanning and security integration in CI/CD pipelines Familiarity with ITIL-based change, incident, and release management processes Strong troubleshooting, analytical, and problem-solving skills Good communication and collaboration skills in cross-functional teams Agile/Safe methodologies Must Have Skills Cloud Computing Linux Python Shell Script Ref: Pittsburgh
10/31/2026
Full time
Job Description Job Description Job Title: DevOps Engineer Duration : Contract to Hire Location : Pittsburgh, PA, Cleveland, OH, or Dallas, TX. Work Mode : 5 Days Onsite Years Of Exp : 8+ Yrs Job Description: We are seeking a DevOps Engineer to design, build, and maintain CI/CD pipelines that enable secure and automated software delivery across enterprise environments. The role involves managing containerized applications, implementing automation and monitoring solutions, and collaborating with cross-functional teams to ensure reliable and compliant production systems. Duties and Responsibilities Design, build, and maintain CI/CD pipelines to enable automated and reliable software delivery across environments Implement and manage containerized workloads using Docker and Kubernetes/OpenShift (OCP) Develop automation scripts and tools using Python, Shell, or PowerShell to reduce manual effort and improve efficiency Manage environment promotion and release processes across Dev, QA, UAT, and Production Implement monitoring, logging, and observability solutions to ensure system health and performance Support incident management, troubleshooting, and root cause analysis for production systems Ensure security, compliance, and DevSecOps best practices are embedded in CI/CD pipelines Collaborate with development, QA, SRE, and security teams to improve delivery and operational stability Participate in on-call rotations and support production reliability Drive continuous improvement in automation, scalability, and system resilience Required Qualifications 6 plus years of experience in DevOps, Cloud Engineering, or Site Reliability Engineering (SRE) Strong experience in designing and managing CI/CD pipelines using tools such as Jenkins, GitHub Actions, GitLab CI, or Azure DevOps Hands-on experience with containerization technologies including Docker and Kubernetes/OpenShift (OCP) Strong proficiency in scripting and automation using Python, Shell, or PowerShell Experience managing application deployments across Dev, QA, UAT, and Production environments Good understanding of Linux systems, networking fundamentals, and system administration Experience with monitoring, logging, and observability tools (e.g., ELK, Application Insights, Prometheus, Grafana) Knowledge of DevSecOps practices, including vulnerability scanning and security integration in CI/CD pipelines Familiarity with ITIL-based change, incident, and release management processes Strong troubleshooting, analytical, and problem-solving skills Good communication and collaboration skills in cross-functional teams Agile/Safe methodologies Must Have Skills Cloud Computing Linux Python Shell Script Ref: Pittsburgh
Job Description Job Description Developer & Infrastructure Expert Role Type: Contractor Location: Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform engineering. You will test AI-generated commands, configurations, and workflows and provide practical feedback based on real-world engineering standards. No prior AI experience is required-your technical expertise and infrastructure knowledge are what matter most. Key Responsibilities Test and validate AI-assisted workflows across DevOps, cloud, infrastructure, and platform engineering . Evaluate AI-generated commands, configurations, scripts, and deployment workflows for accuracy and reliability. Work with AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD environments. Review workflows involving GitHub, GitLab, Azure DevOps, and JIRA . Assess AI agents and workplace connectors across tools such as Slack, Google Drive, and Microsoft 365. Identify technical errors, security or reliability concerns, and workflow gaps. Document findings and provide clear, actionable feedback. Recommend improvements based on real-world engineering practices and industry standards. Collaborate remotely with project stakeholders through written evaluations and virtual discussions. Required Skills Azure DevOps Cloud Infrastructure Site Reliability Engineering (SRE) Platform Engineering AWS / Azure / GCP Kubernetes / Docker Terraform CI/CD GitHub / GitLab / JIRA Observability ChatGPT Work Claude Code Claude Cowork AI Agents Workplace Connectors Preferred Qualifications Professional experience in software engineering, DevOps, SRE, cloud, platform, or infrastructure engineering . Hands-on experience with major cloud platforms, Kubernetes, Docker, Terraform, CI/CD, and observability tools. Experience with developer workflow and project management platforms such as GitHub, GitLab, Azure DevOps, and JIRA. Experience using AI agents such as ChatGPT, Claude Code, Claude Cowork, or Codex in development or infrastructure workflows. Strong ability to evaluate technical processes and provide actionable feedback. Excellent written and verbal communication skills. Experience with workplace connectors, automation, or AI-powered infrastructure workflows is a plus.
10/31/2026
Full time
Job Description Job Description Developer & Infrastructure Expert Role Type: Contractor Location: Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform engineering. You will test AI-generated commands, configurations, and workflows and provide practical feedback based on real-world engineering standards. No prior AI experience is required-your technical expertise and infrastructure knowledge are what matter most. Key Responsibilities Test and validate AI-assisted workflows across DevOps, cloud, infrastructure, and platform engineering . Evaluate AI-generated commands, configurations, scripts, and deployment workflows for accuracy and reliability. Work with AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD environments. Review workflows involving GitHub, GitLab, Azure DevOps, and JIRA . Assess AI agents and workplace connectors across tools such as Slack, Google Drive, and Microsoft 365. Identify technical errors, security or reliability concerns, and workflow gaps. Document findings and provide clear, actionable feedback. Recommend improvements based on real-world engineering practices and industry standards. Collaborate remotely with project stakeholders through written evaluations and virtual discussions. Required Skills Azure DevOps Cloud Infrastructure Site Reliability Engineering (SRE) Platform Engineering AWS / Azure / GCP Kubernetes / Docker Terraform CI/CD GitHub / GitLab / JIRA Observability ChatGPT Work Claude Code Claude Cowork AI Agents Workplace Connectors Preferred Qualifications Professional experience in software engineering, DevOps, SRE, cloud, platform, or infrastructure engineering . Hands-on experience with major cloud platforms, Kubernetes, Docker, Terraform, CI/CD, and observability tools. Experience with developer workflow and project management platforms such as GitHub, GitLab, Azure DevOps, and JIRA. Experience using AI agents such as ChatGPT, Claude Code, Claude Cowork, or Codex in development or infrastructure workflows. Strong ability to evaluate technical processes and provide actionable feedback. Excellent written and verbal communication skills. Experience with workplace connectors, automation, or AI-powered infrastructure workflows is a plus.
Job Description Job Description Principal DevOps Engineer Remote, USA The company is the country's largest lending-exclusive financial company, proudly serving millions of customers with safe, affordable and transparent installment loans. Our customers turn to us every day-online and at 1,500 branches in 44 states to help them take control and improve their financial lives with solutions for debt consolidation, medical expenses, household bills, home improvements and auto purchases. Our talented and dedicated team members constantly look for responsible ways to serve our customers when, where and how they want. It's all about doing the right thing-a mission that hasn't changed for more than 100 years. Note: MUST be legally authorized to work in the United States. POSITION SUMMARY The Principal DevOps Engineer is a senior technical leader responsible for defining, driving, and governing enterprise DevOps and Platform Engineering strategies across multiple business units. This role partners closely with Enterprise Architects, Application Development, Infrastructure, Security, Cloud Engineering, and Operations teams to build scalable, secure, and automated platforms that accelerate software delivery while improving reliability, governance, and operational excellence. The Principal DevOps Engineer serves as a Subject Matter Expert (SME) and technical evangelist, establishing enterprise standards, reference architectures, and engineering best practices that improve developer productivity, platform consistency, and deployment efficiency. The role provides technical leadership for cloud-native platforms, Infrastructure as Code (IaC), CI/CD, automation, observability, and security integration. The Principal DevOps Engineer serves as a Subject Matter Expert (SME) and technical evangelist, establishing enterprise standards, reference architectures, and engineering best practices that improve developer productivity, platform consistency, and deployment efficiency. The role provides technical leadership for cloud-native platforms, Infrastructure as Code (IaC), CI/CD, automation, observability, and security integration. KEY RESPONSIBILITIES Enterprise DevOps Leadership Define and execute the enterprise DevOps and Platform Engineering strategy aligned with business and technology objectives. Lead technical initiatives spanning multiple projects, portfolios, and Lines of Business (LOBs). Partner with Enterprise Architecture to define platform standards, reusable architectures, and technology roadmaps. Drive adoption of modern engineering practices across development, operations, and infrastructure teams. Provide technical leadership during enterprise transformation initiatives. Platform Engineering Design and implement scalable, highly available, and self-service DevOps platforms. Develop reusable platform capabilities that accelerate application onboarding. Standardize CI/CD pipelines, deployment strategies, and release automation. Improve developer experience through automation and self-service capabilities. Establish reusable platform templates, golden paths, and engineering standards. DevOps Automation Design enterprise CI/CD frameworks supporting multiple application technologies. Automate infrastructure provisioning using Infrastructure as Code (IaC). Standardize configuration management and deployment automation. Drive continuous improvement through automation and operational efficiency. Reduce manual operational activities through scripting and orchestration. Cloud Engineering Architect cloud-native deployment patterns across AWS, Azure, and hybrid environments. Implement container platforms and Kubernetes-based solutions. Optimize cloud infrastructure for availability, scalability, performance, and cost. Establish enterprise landing zones and cloud governance standards. Security & Compliance Integrate security into CI/CD pipelines using DevSecOps practices. Ensure platforms comply with enterprise security, regulatory, and governance requirements. Implement automated security scanning, vulnerability management, secrets management, and policy enforcement. Collaborate with Security teams to improve compliance automation. Reliability & Operations Design highly available and resilient deployment architectures. Improve system observability through logging, monitoring, alerting, and tracing. Drive operational excellence using Site Reliability Engineering (SRE) principles. Define platform SLAs, SLOs, and operational metrics. Architecture & Governance Establish DevOps design patterns, engineering standards, and best practices. Review solution architectures for scalability, reliability, security, and maintainability. Mentor senior engineers and provide technical guidance across engineering teams. Evaluate emerging technologies and recommend enterprise adoption. EXPERIENCE At least 12+ years of experience in Infrastructure, Cloud, DevOps, or Platform Engineering. At least 7+ years of designing and implementing enterprise DevOps platforms. Minimum of 5+ years leading enterprise-wide DevOps or Platform Engineering initiatives. Hands-on experience with AWS and/or Azure cloud platforms. Experience designing and implementing Kubernetes/OpenShift platforms. Proven experience implementing enterprise CI/CD, Infrastructure as Code, and DevSecOps practices. Strong background in automation, cloud architecture, and platform modernization. Experience mentoring engineering teams and influencing technical direction across multiple organizations. KEY SKILLS Programmatically create infrastructure in AWS, leveraging Autoscaling Groups, Security Groups, Route53, S3, and IAM. Experience with Git. Enable our data development team to deliver new code daily through Continuous Integration and Deployment Pipelines. Build data infrastructure related to end-to-end data factory platform using Terraform and related technologies. ADDITIONAL INFORMATION Remote candidates considered. FTE conversion is a possibility. For conversion consideration, candidates must live within 50 miles of an approved OneMain corporate office. Candidates must live within 50 miles of a OneMain Corporate Office in Charlotte NC, Irving TX, Other OMF corporate office locations. We are an equal opportunity employer, and we are an organization that values diversity. We welcome applications from all qualified candidates, including minorities and persons with disabilities. Req153-1
10/31/2026
Full time
Job Description Job Description Principal DevOps Engineer Remote, USA The company is the country's largest lending-exclusive financial company, proudly serving millions of customers with safe, affordable and transparent installment loans. Our customers turn to us every day-online and at 1,500 branches in 44 states to help them take control and improve their financial lives with solutions for debt consolidation, medical expenses, household bills, home improvements and auto purchases. Our talented and dedicated team members constantly look for responsible ways to serve our customers when, where and how they want. It's all about doing the right thing-a mission that hasn't changed for more than 100 years. Note: MUST be legally authorized to work in the United States. POSITION SUMMARY The Principal DevOps Engineer is a senior technical leader responsible for defining, driving, and governing enterprise DevOps and Platform Engineering strategies across multiple business units. This role partners closely with Enterprise Architects, Application Development, Infrastructure, Security, Cloud Engineering, and Operations teams to build scalable, secure, and automated platforms that accelerate software delivery while improving reliability, governance, and operational excellence. The Principal DevOps Engineer serves as a Subject Matter Expert (SME) and technical evangelist, establishing enterprise standards, reference architectures, and engineering best practices that improve developer productivity, platform consistency, and deployment efficiency. The role provides technical leadership for cloud-native platforms, Infrastructure as Code (IaC), CI/CD, automation, observability, and security integration. The Principal DevOps Engineer serves as a Subject Matter Expert (SME) and technical evangelist, establishing enterprise standards, reference architectures, and engineering best practices that improve developer productivity, platform consistency, and deployment efficiency. The role provides technical leadership for cloud-native platforms, Infrastructure as Code (IaC), CI/CD, automation, observability, and security integration. KEY RESPONSIBILITIES Enterprise DevOps Leadership Define and execute the enterprise DevOps and Platform Engineering strategy aligned with business and technology objectives. Lead technical initiatives spanning multiple projects, portfolios, and Lines of Business (LOBs). Partner with Enterprise Architecture to define platform standards, reusable architectures, and technology roadmaps. Drive adoption of modern engineering practices across development, operations, and infrastructure teams. Provide technical leadership during enterprise transformation initiatives. Platform Engineering Design and implement scalable, highly available, and self-service DevOps platforms. Develop reusable platform capabilities that accelerate application onboarding. Standardize CI/CD pipelines, deployment strategies, and release automation. Improve developer experience through automation and self-service capabilities. Establish reusable platform templates, golden paths, and engineering standards. DevOps Automation Design enterprise CI/CD frameworks supporting multiple application technologies. Automate infrastructure provisioning using Infrastructure as Code (IaC). Standardize configuration management and deployment automation. Drive continuous improvement through automation and operational efficiency. Reduce manual operational activities through scripting and orchestration. Cloud Engineering Architect cloud-native deployment patterns across AWS, Azure, and hybrid environments. Implement container platforms and Kubernetes-based solutions. Optimize cloud infrastructure for availability, scalability, performance, and cost. Establish enterprise landing zones and cloud governance standards. Security & Compliance Integrate security into CI/CD pipelines using DevSecOps practices. Ensure platforms comply with enterprise security, regulatory, and governance requirements. Implement automated security scanning, vulnerability management, secrets management, and policy enforcement. Collaborate with Security teams to improve compliance automation. Reliability & Operations Design highly available and resilient deployment architectures. Improve system observability through logging, monitoring, alerting, and tracing. Drive operational excellence using Site Reliability Engineering (SRE) principles. Define platform SLAs, SLOs, and operational metrics. Architecture & Governance Establish DevOps design patterns, engineering standards, and best practices. Review solution architectures for scalability, reliability, security, and maintainability. Mentor senior engineers and provide technical guidance across engineering teams. Evaluate emerging technologies and recommend enterprise adoption. EXPERIENCE At least 12+ years of experience in Infrastructure, Cloud, DevOps, or Platform Engineering. At least 7+ years of designing and implementing enterprise DevOps platforms. Minimum of 5+ years leading enterprise-wide DevOps or Platform Engineering initiatives. Hands-on experience with AWS and/or Azure cloud platforms. Experience designing and implementing Kubernetes/OpenShift platforms. Proven experience implementing enterprise CI/CD, Infrastructure as Code, and DevSecOps practices. Strong background in automation, cloud architecture, and platform modernization. Experience mentoring engineering teams and influencing technical direction across multiple organizations. KEY SKILLS Programmatically create infrastructure in AWS, leveraging Autoscaling Groups, Security Groups, Route53, S3, and IAM. Experience with Git. Enable our data development team to deliver new code daily through Continuous Integration and Deployment Pipelines. Build data infrastructure related to end-to-end data factory platform using Terraform and related technologies. ADDITIONAL INFORMATION Remote candidates considered. FTE conversion is a possibility. For conversion consideration, candidates must live within 50 miles of an approved OneMain corporate office. Candidates must live within 50 miles of a OneMain Corporate Office in Charlotte NC, Irving TX, Other OMF corporate office locations. We are an equal opportunity employer, and we are an organization that values diversity. We welcome applications from all qualified candidates, including minorities and persons with disabilities. Req153-1
Job Description Job Description Developer & Infrastructure Expert Role Type: Contractor Location: Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform engineering. You will test AI-generated commands, configurations, and workflows and provide practical feedback based on real-world engineering standards. No prior AI experience is required-your technical expertise and infrastructure knowledge are what matter most. Key Responsibilities Test and validate AI-assisted workflows across DevOps, cloud, infrastructure, and platform engineering . Evaluate AI-generated commands, configurations, scripts, and deployment workflows for accuracy and reliability. Work with AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD environments. Review workflows involving GitHub, GitLab, Azure DevOps, and JIRA . Assess AI agents and workplace connectors across tools such as Slack, Google Drive, and Microsoft 365. Identify technical errors, security or reliability concerns, and workflow gaps. Document findings and provide clear, actionable feedback. Recommend improvements based on real-world engineering practices and industry standards. Collaborate remotely with project stakeholders through written evaluations and virtual discussions. Required Skills Azure DevOps Cloud Infrastructure Site Reliability Engineering (SRE) Platform Engineering AWS / Azure / GCP Kubernetes / Docker Terraform CI/CD GitHub / GitLab / JIRA Observability ChatGPT Work Claude Code Claude Cowork AI Agents Workplace Connectors Preferred Qualifications Professional experience in software engineering, DevOps, SRE, cloud, platform, or infrastructure engineering . Hands-on experience with major cloud platforms, Kubernetes, Docker, Terraform, CI/CD, and observability tools. Experience with developer workflow and project management platforms such as GitHub, GitLab, Azure DevOps, and JIRA. Experience using AI agents such as ChatGPT, Claude Code, Claude Cowork, or Codex in development or infrastructure workflows. Strong ability to evaluate technical processes and provide actionable feedback. Excellent written and verbal communication skills. Experience with workplace connectors, automation, or AI-powered infrastructure workflows is a plus.
10/30/2026
Full time
Job Description Job Description Developer & Infrastructure Expert Role Type: Contractor Location: Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform engineering. You will test AI-generated commands, configurations, and workflows and provide practical feedback based on real-world engineering standards. No prior AI experience is required-your technical expertise and infrastructure knowledge are what matter most. Key Responsibilities Test and validate AI-assisted workflows across DevOps, cloud, infrastructure, and platform engineering . Evaluate AI-generated commands, configurations, scripts, and deployment workflows for accuracy and reliability. Work with AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD environments. Review workflows involving GitHub, GitLab, Azure DevOps, and JIRA . Assess AI agents and workplace connectors across tools such as Slack, Google Drive, and Microsoft 365. Identify technical errors, security or reliability concerns, and workflow gaps. Document findings and provide clear, actionable feedback. Recommend improvements based on real-world engineering practices and industry standards. Collaborate remotely with project stakeholders through written evaluations and virtual discussions. Required Skills Azure DevOps Cloud Infrastructure Site Reliability Engineering (SRE) Platform Engineering AWS / Azure / GCP Kubernetes / Docker Terraform CI/CD GitHub / GitLab / JIRA Observability ChatGPT Work Claude Code Claude Cowork AI Agents Workplace Connectors Preferred Qualifications Professional experience in software engineering, DevOps, SRE, cloud, platform, or infrastructure engineering . Hands-on experience with major cloud platforms, Kubernetes, Docker, Terraform, CI/CD, and observability tools. Experience with developer workflow and project management platforms such as GitHub, GitLab, Azure DevOps, and JIRA. Experience using AI agents such as ChatGPT, Claude Code, Claude Cowork, or Codex in development or infrastructure workflows. Strong ability to evaluate technical processes and provide actionable feedback. Excellent written and verbal communication skills. Experience with workplace connectors, automation, or AI-powered infrastructure workflows is a plus.
Job Description Job Description Description: Are you an experienced DevOps or Platform Engineer who enjoys building cloud-native platforms, automating software deployments, and ensuring production systems remain secure, reliable, and scalable? Do you have hands-on experience designing CI/CD pipelines, deploying applications to Kubernetes, and implementing GitOps automation? Opportunity Virtual Service Operations (VSO) is seeking an experienced Senior DevOps / Platform Engineer to support a high-visibility enterprise technology modernization initiative. This initiative focuses on developing foundational platforms and services that enable secure data connectivity, interoperability, API integration, and emerging AI capabilities across a large, complex enterprise environment. The project involves building a shared platform that allows applications, services, and data systems to securely connect through standardized APIs and modern integration technologies, including Model Context Protocol (MCP). In this role, you will design, build, automate, and operate the deployment and operations foundation for a cloud-native enterprise platform. You will take ownership of CI/CD automation, container builds and deployments, GitOps workflows, infrastructure provisioning, observability, and disaster recovery capabilities. The initial phase focuses on delivering a Minimum Viable Product (MVP), with opportunities to expand platform capabilities as adoption grows. This is a hands-on engineering position. We are looking for someone who has personally built and operated production cloud-native environments-not someone whose experience is limited to maintaining existing infrastructure or administering development tools. Key Responsibilities CI/CD Engineering & Deployment Automation Design, develop, implement, and maintain GitLab CI/CD pipelines supporting platform services from source code commit through production deployment. Automate software builds, testing, validation, packaging, and deployment processes. Build, scan, sign, and publish container images using Docker and associated container tooling. Develop standardized, repeatable deployment processes that improve reliability and reduce manual intervention. Collaborate with software development teams to integrate applications and shared services into automated delivery pipelines. Kubernetes & Container Platform Engineering Deploy, configure, and operate containerized applications in production Kubernetes environments. Use Helm or Kustomize to package, configure, and manage Kubernetes application deployments. Implement and maintain GitOps deployment workflows using Argo CD, Flux, or comparable technologies. Establish version-controlled infrastructure and application configurations. Support platform upgrades, environment consistency, and operational scalability. Engineer zero-downtime deployments using rolling updates, blue/green deployments, or canary release strategies. Develop and test reliable rollback procedures to minimize service disruption. Infrastructure as Code & Automation Design and implement infrastructure provisioning and configuration automation using Terraform, Ansible, or comparable Infrastructure as Code (IaC) tools. Develop reusable infrastructure configurations and deployment templates. Automate environment creation, configuration, and maintenance across development, testing, and production environments. Write and maintain Bash and Python scripts supporting platform operations and automation. Improve deployment efficiency, consistency, and security through automation. Monitoring, Observability & Reliability Design and implement observability solutions covering application and platform metrics, logs, traces, dashboards, and alerting. Configure and maintain monitoring tools such as Prometheus, Grafana, ELK/OpenSearch, Splunk, or comparable platforms. Establish monitoring and alerting processes to identify performance issues, service degradation, and potential failures. Troubleshoot platform reliability, deployment, and operational issues. Collaborate with engineering teams to improve system availability, performance, and operational resilience. Backup, Recovery & Platform Resilience Design, implement, and test backup and recovery procedures for platform services and supporting data stores. Establish and validate disaster recovery processes aligned with defined Recovery Point Objectives (RPO) and Recovery Time Objectives (RTO). Support backup, restoration, and recovery testing across platform environments. Contribute to operational documentation, runbooks, and platform recovery procedures. Identify opportunities to improve platform reliability, scalability, and recoverability. Security & Continuous Improvement Integrate security scanning and validation into automated build and deployment pipelines. Apply secure container build, image management, and deployment practices. Collaborate with cybersecurity and engineering teams to support security and compliance requirements. Contribute to platform architecture, operational standards, and technical documentation. Support the initial MVP implementation and future expansion of platform capabilities. Required Qualifications Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related technical field, or equivalent professional experience. Minimum of 3 years of hands-on experience building and operating production cloud-native platforms in DevOps, Site Reliability Engineering (SRE), or platform engineering roles. Demonstrated experience designing and building GitLab CI/CD pipelines, including automated build, test, and deployment workflows. Hands-on production experience with Docker and Kubernetes. Experience deploying and managing Kubernetes applications using Helm or Kustomize. Experience implementing GitOps workflows using Argo CD or Flux. Experience automating infrastructure provisioning and configuration using Terraform, Ansible, or comparable tools. Proficiency writing automation scripts using Bash and Python. Experience implementing or maintaining at least one production observability stack, such as Prometheus/Grafana, ELK/OpenSearch, Splunk, or comparable tools. Preferred Qualifications Experience with AWS cloud services, including Amazon Elastic Kubernetes Service (EKS). Experience implementing container supply-chain security practices, including vulnerability scanning, image signing, and Software Bills of Materials (SBOMs). Experience designing and implementing rolling, blue/green, or canary deployment strategies with automated rollback capabilities. Experience developing backup and disaster recovery processes for PostgreSQL, Redis, or comparable production data stores. Familiarity with Recovery Point Objectives (RPO) and Recovery Time Objectives (RTO). Experience with Site Reliability Engineering practices, including Service Level Objectives (SLOs), capacity planning, and reliability engineering. Experience operating multi-tenant cloud-native platforms. Familiarity with distributed tracing and advanced observability capabilities. Experience implementing DevSecOps practices in regulated or security-sensitive enterprise environments. Experience supporting enterprise modernization initiatives, shared services platforms, or large-scale cloud-native environments. Requirements: This is a fully remote position. Candidates must be able to work independently, communicate effectively, and collaborate successfully with team members in a virtual work environment. Bachelor's degree Minimum of 3 years of hands-on experience building and operating production cloud-native platforms in DevOps, Site Reliability Engineering (SRE), or platform engineering roles. New hires assigned on this project will be required to undergo and pass drug tests per our client's contract requirements Please note that this specific position requires U.S. citizenship status What is Important to Us: You are an excellent communicator in writing and speaking. You have the ability to work independently but also value teamwork. Your problem-solving skills are excellent. You are looking for a job where performance appraisals occur regularly, and you look forward to advancing your career. You seek a community of virtue-centered co-workers and clients. What we offer you: As part of the VSO company, you will be part of a virtue-centered team who value their work and teammates. This is a no-jerk zone . We provide ongoing learning and development opportunities to foster continuous growth. We offer competitive salaries, health benefits, and flexible work arrangements. More About VSO: VSO is a hybrid cloud and managed services consulting firm. Much of VSO's success can be attributed to our deep partnerships with IT services industry leaders such as AWS, IBM, Microsoft and others. VSO leverages numerous other partner relationships so as to provide our customers with optimal support. Additionally, we take pride in taking care of our employees. We offer a wide variety of benefits for eligible employees related to health, retirement, professional development, and more! For more information, please visit our website at
10/30/2026
Full time
Job Description Job Description Description: Are you an experienced DevOps or Platform Engineer who enjoys building cloud-native platforms, automating software deployments, and ensuring production systems remain secure, reliable, and scalable? Do you have hands-on experience designing CI/CD pipelines, deploying applications to Kubernetes, and implementing GitOps automation? Opportunity Virtual Service Operations (VSO) is seeking an experienced Senior DevOps / Platform Engineer to support a high-visibility enterprise technology modernization initiative. This initiative focuses on developing foundational platforms and services that enable secure data connectivity, interoperability, API integration, and emerging AI capabilities across a large, complex enterprise environment. The project involves building a shared platform that allows applications, services, and data systems to securely connect through standardized APIs and modern integration technologies, including Model Context Protocol (MCP). In this role, you will design, build, automate, and operate the deployment and operations foundation for a cloud-native enterprise platform. You will take ownership of CI/CD automation, container builds and deployments, GitOps workflows, infrastructure provisioning, observability, and disaster recovery capabilities. The initial phase focuses on delivering a Minimum Viable Product (MVP), with opportunities to expand platform capabilities as adoption grows. This is a hands-on engineering position. We are looking for someone who has personally built and operated production cloud-native environments-not someone whose experience is limited to maintaining existing infrastructure or administering development tools. Key Responsibilities CI/CD Engineering & Deployment Automation Design, develop, implement, and maintain GitLab CI/CD pipelines supporting platform services from source code commit through production deployment. Automate software builds, testing, validation, packaging, and deployment processes. Build, scan, sign, and publish container images using Docker and associated container tooling. Develop standardized, repeatable deployment processes that improve reliability and reduce manual intervention. Collaborate with software development teams to integrate applications and shared services into automated delivery pipelines. Kubernetes & Container Platform Engineering Deploy, configure, and operate containerized applications in production Kubernetes environments. Use Helm or Kustomize to package, configure, and manage Kubernetes application deployments. Implement and maintain GitOps deployment workflows using Argo CD, Flux, or comparable technologies. Establish version-controlled infrastructure and application configurations. Support platform upgrades, environment consistency, and operational scalability. Engineer zero-downtime deployments using rolling updates, blue/green deployments, or canary release strategies. Develop and test reliable rollback procedures to minimize service disruption. Infrastructure as Code & Automation Design and implement infrastructure provisioning and configuration automation using Terraform, Ansible, or comparable Infrastructure as Code (IaC) tools. Develop reusable infrastructure configurations and deployment templates. Automate environment creation, configuration, and maintenance across development, testing, and production environments. Write and maintain Bash and Python scripts supporting platform operations and automation. Improve deployment efficiency, consistency, and security through automation. Monitoring, Observability & Reliability Design and implement observability solutions covering application and platform metrics, logs, traces, dashboards, and alerting. Configure and maintain monitoring tools such as Prometheus, Grafana, ELK/OpenSearch, Splunk, or comparable platforms. Establish monitoring and alerting processes to identify performance issues, service degradation, and potential failures. Troubleshoot platform reliability, deployment, and operational issues. Collaborate with engineering teams to improve system availability, performance, and operational resilience. Backup, Recovery & Platform Resilience Design, implement, and test backup and recovery procedures for platform services and supporting data stores. Establish and validate disaster recovery processes aligned with defined Recovery Point Objectives (RPO) and Recovery Time Objectives (RTO). Support backup, restoration, and recovery testing across platform environments. Contribute to operational documentation, runbooks, and platform recovery procedures. Identify opportunities to improve platform reliability, scalability, and recoverability. Security & Continuous Improvement Integrate security scanning and validation into automated build and deployment pipelines. Apply secure container build, image management, and deployment practices. Collaborate with cybersecurity and engineering teams to support security and compliance requirements. Contribute to platform architecture, operational standards, and technical documentation. Support the initial MVP implementation and future expansion of platform capabilities. Required Qualifications Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related technical field, or equivalent professional experience. Minimum of 3 years of hands-on experience building and operating production cloud-native platforms in DevOps, Site Reliability Engineering (SRE), or platform engineering roles. Demonstrated experience designing and building GitLab CI/CD pipelines, including automated build, test, and deployment workflows. Hands-on production experience with Docker and Kubernetes. Experience deploying and managing Kubernetes applications using Helm or Kustomize. Experience implementing GitOps workflows using Argo CD or Flux. Experience automating infrastructure provisioning and configuration using Terraform, Ansible, or comparable tools. Proficiency writing automation scripts using Bash and Python. Experience implementing or maintaining at least one production observability stack, such as Prometheus/Grafana, ELK/OpenSearch, Splunk, or comparable tools. Preferred Qualifications Experience with AWS cloud services, including Amazon Elastic Kubernetes Service (EKS). Experience implementing container supply-chain security practices, including vulnerability scanning, image signing, and Software Bills of Materials (SBOMs). Experience designing and implementing rolling, blue/green, or canary deployment strategies with automated rollback capabilities. Experience developing backup and disaster recovery processes for PostgreSQL, Redis, or comparable production data stores. Familiarity with Recovery Point Objectives (RPO) and Recovery Time Objectives (RTO). Experience with Site Reliability Engineering practices, including Service Level Objectives (SLOs), capacity planning, and reliability engineering. Experience operating multi-tenant cloud-native platforms. Familiarity with distributed tracing and advanced observability capabilities. Experience implementing DevSecOps practices in regulated or security-sensitive enterprise environments. Experience supporting enterprise modernization initiatives, shared services platforms, or large-scale cloud-native environments. Requirements: This is a fully remote position. Candidates must be able to work independently, communicate effectively, and collaborate successfully with team members in a virtual work environment. Bachelor's degree Minimum of 3 years of hands-on experience building and operating production cloud-native platforms in DevOps, Site Reliability Engineering (SRE), or platform engineering roles. New hires assigned on this project will be required to undergo and pass drug tests per our client's contract requirements Please note that this specific position requires U.S. citizenship status What is Important to Us: You are an excellent communicator in writing and speaking. You have the ability to work independently but also value teamwork. Your problem-solving skills are excellent. You are looking for a job where performance appraisals occur regularly, and you look forward to advancing your career. You seek a community of virtue-centered co-workers and clients. What we offer you: As part of the VSO company, you will be part of a virtue-centered team who value their work and teammates. This is a no-jerk zone . We provide ongoing learning and development opportunities to foster continuous growth. We offer competitive salaries, health benefits, and flexible work arrangements. More About VSO: VSO is a hybrid cloud and managed services consulting firm. Much of VSO's success can be attributed to our deep partnerships with IT services industry leaders such as AWS, IBM, Microsoft and others. VSO leverages numerous other partner relationships so as to provide our customers with optimal support. Additionally, we take pride in taking care of our employees. We offer a wide variety of benefits for eligible employees related to health, retirement, professional development, and more! For more information, please visit our website at
Job Description Job Description Company Overview: Req ID: 395493 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. Job Description - Senior AI Ops / DevOps Engineer Day to Day Job Duties The Senior AI Ops / DevOps Engineer will architect, build, and manage next-generation AI-driven CI/CD and cloud operations ecosystems. This role will go beyond traditional DevOps automation by integrating LLM agents, Model Context Protocol servers, intelligent observability, and secure AI-assisted workflows into the software delivery lifecycle. Architect, build, and manage AI-enabled CI/CD pipelines that improve developer productivity, code quality, release reliability, and deployment speed. Design and deploy production-grade Model Context Protocol clients and servers to securely connect enterprise LLMs with engineering tools, repositories, cloud infrastructure, and observability platforms. Develop custom MCP servers using Python, TypeScript, Node.js, or JavaScript to expose logs, infrastructure metrics, deployment data, and internal tools to authorized AI agents. Integrate LLM agents into developer workflows to support automated code review, vulnerability detection, test generation, release validation, and infrastructure recommendations. Build and maintain robust CI/CD pipelines using GitHub Actions, GitLab CI, CircleCI, ArgoCD, Jenkins, or similar tools. Implement ChatOps 2.0 capabilities that allow engineers to interact with deployment pipelines, cloud environments, logs, and operational workflows using secure conversational interfaces. Create safe autonomous remediation workflows for log analysis, incident triage, root-cause analysis, and infrastructure issue resolution. Build guardrails that allow AI agents to generate, inspect, and safely execute Infrastructure as Code using Terraform, OpenTofu, Terragrunt, Pulumi, Crossplane, or similar tools. Manage containerized workloads using Docker and Kubernetes platforms such as AWS EKS, Azure AKS, or Google GKE. Integrate AI-driven observability workflows with platforms such as Datadog, Prometheus, Grafana, CloudWatch, Splunk, Dynatrace, or ELK. Implement AI safety controls including role-based access control, least-privilege execution, human-in-the-loop approvals, audit logging, rollback mechanisms, and secure tool access. Partner with software engineering, DevOps, SRE, security, platform, and data/AI teams to identify opportunities for intelligent automation. Create reusable automation frameworks, runbooks, dashboards, documentation, and enablement materials for engineering teams. Drive an "automate everything" culture by reducing manual toil and improving operational efficiency across cloud and software delivery processes. Basic Qualifications Minimum 7+ years of experience in DevOps, Cloud Engineering, SRE, Platform Engineering, or Infrastructure Automation. Minimum 4+ years of hands-on experience designing and managing CI/CD pipelines using GitHub Actions, GitLab CI, CircleCI, Jenkins, ArgoCD, or similar platforms. Minimum 3+ years of experience managing scalable cloud environments in AWS, Azure, or GCP, with strong preference for AWS. Strong hands-on experience with Kubernetes, Docker, and production container orchestration platforms such as EKS, AKS, or GKE. Advanced proficiency with Infrastructure as Code tools such as Terraform, OpenTofu, Terragrunt, Pulumi, CloudFormation, or Crossplane. Strong programming and scripting experience using Python, TypeScript, JavaScript, Bash, or Go. Practical experience working with LLM APIs such as OpenAI, Anthropic, or similar enterprise AI platforms. Experience with AI orchestration or agentic frameworks such as LangChain, CrewAI, LlamaIndex, or similar tools. Strong understanding of the Model Context Protocol ecosystem and experience designing or integrating MCP clients and servers. Experience integrating DevSecOps controls into CI/CD pipelines, including SAST, DAST, dependency scanning, container scanning, secrets scanning, and vulnerability management. Strong knowledge of secret management and security tooling such as HashiCorp Vault, AWS Secrets Manager, Azure Key Vault, or similar platforms. Experience with observability, monitoring, logging, and alerting platforms such as Datadog, Prometheus, Grafana, CloudWatch, Splunk, Dynatrace, or ELK. Familiarity with security and compliance frameworks such as SOC2, ISO27001, or enterprise audit control environments. Ability to troubleshoot complex pipeline, infrastructure, deployment, and production issues across cloud-native environments. Preferred / Nice to Have Experience building AI-assisted infrastructure provisioning workflows. Experience implementing autonomous or semi-autonomous incident response and remediation capabilities. Experience with MLOps, model deployment pipelines, model monitoring, MLflow, SageMaker, or equivalent platforms. Experience implementing human-in-the-loop approval models for AI-generated operational actions. Experience with policy-as-code tools such as Open Policy Agent, Sentinel, Checkov, or similar solutions. Experience working in regulated industries such as banking, financial services, healthcare, or insurance. Experience with GitOps operating models using ArgoCD, Flux, or similar tools. AWS, Kubernetes, DevOps, Security, or AI/ML certifications are a plus. Soft Skills & Mindset Strong "automate everything" mindset with a passion for reducing repetitive manual tasks and operational toil. Security-first approach with practical skepticism of autonomous AI actions and a focus on validation, boundaries, approvals, and rollback. Ability to bridge traditional software engineering, DevOps, SRE, security, and data/AI teams. Strong communication skills with the ability to explain complex AI-enabled DevOps concepts to both technical and leadership audiences. Collaborative educator who can help upskill engineering teams on AI-assisted delivery, secure automation, and modern DevOps practices. Ownership mindset with the ability to design solutions, implement them hands-on, and support them in production. Travel This position requires 3 days in office per the client/project requirement. Degree Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent work experience. Summary The ideal candidate is a senior hands-on DevOps engineer with strong cloud, automation, Kubernetes, and CI/CD expertise, combined with practical experience applying AI, LLM agents, and MCP-based integrations to modern engineering workflows. This role will help create a secure AI-driven delivery ecosystem that accelerates software engineering velocity while maintaining strong governance, reliability, auditability, and operational control. About NTT DATA: NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this remote role is ($55.00-$70.00/Hour). This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on several factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications. NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at -us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
10/30/2026
Full time
Job Description Job Description Company Overview: Req ID: 395493 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. Job Description - Senior AI Ops / DevOps Engineer Day to Day Job Duties The Senior AI Ops / DevOps Engineer will architect, build, and manage next-generation AI-driven CI/CD and cloud operations ecosystems. This role will go beyond traditional DevOps automation by integrating LLM agents, Model Context Protocol servers, intelligent observability, and secure AI-assisted workflows into the software delivery lifecycle. Architect, build, and manage AI-enabled CI/CD pipelines that improve developer productivity, code quality, release reliability, and deployment speed. Design and deploy production-grade Model Context Protocol clients and servers to securely connect enterprise LLMs with engineering tools, repositories, cloud infrastructure, and observability platforms. Develop custom MCP servers using Python, TypeScript, Node.js, or JavaScript to expose logs, infrastructure metrics, deployment data, and internal tools to authorized AI agents. Integrate LLM agents into developer workflows to support automated code review, vulnerability detection, test generation, release validation, and infrastructure recommendations. Build and maintain robust CI/CD pipelines using GitHub Actions, GitLab CI, CircleCI, ArgoCD, Jenkins, or similar tools. Implement ChatOps 2.0 capabilities that allow engineers to interact with deployment pipelines, cloud environments, logs, and operational workflows using secure conversational interfaces. Create safe autonomous remediation workflows for log analysis, incident triage, root-cause analysis, and infrastructure issue resolution. Build guardrails that allow AI agents to generate, inspect, and safely execute Infrastructure as Code using Terraform, OpenTofu, Terragrunt, Pulumi, Crossplane, or similar tools. Manage containerized workloads using Docker and Kubernetes platforms such as AWS EKS, Azure AKS, or Google GKE. Integrate AI-driven observability workflows with platforms such as Datadog, Prometheus, Grafana, CloudWatch, Splunk, Dynatrace, or ELK. Implement AI safety controls including role-based access control, least-privilege execution, human-in-the-loop approvals, audit logging, rollback mechanisms, and secure tool access. Partner with software engineering, DevOps, SRE, security, platform, and data/AI teams to identify opportunities for intelligent automation. Create reusable automation frameworks, runbooks, dashboards, documentation, and enablement materials for engineering teams. Drive an "automate everything" culture by reducing manual toil and improving operational efficiency across cloud and software delivery processes. Basic Qualifications Minimum 7+ years of experience in DevOps, Cloud Engineering, SRE, Platform Engineering, or Infrastructure Automation. Minimum 4+ years of hands-on experience designing and managing CI/CD pipelines using GitHub Actions, GitLab CI, CircleCI, Jenkins, ArgoCD, or similar platforms. Minimum 3+ years of experience managing scalable cloud environments in AWS, Azure, or GCP, with strong preference for AWS. Strong hands-on experience with Kubernetes, Docker, and production container orchestration platforms such as EKS, AKS, or GKE. Advanced proficiency with Infrastructure as Code tools such as Terraform, OpenTofu, Terragrunt, Pulumi, CloudFormation, or Crossplane. Strong programming and scripting experience using Python, TypeScript, JavaScript, Bash, or Go. Practical experience working with LLM APIs such as OpenAI, Anthropic, or similar enterprise AI platforms. Experience with AI orchestration or agentic frameworks such as LangChain, CrewAI, LlamaIndex, or similar tools. Strong understanding of the Model Context Protocol ecosystem and experience designing or integrating MCP clients and servers. Experience integrating DevSecOps controls into CI/CD pipelines, including SAST, DAST, dependency scanning, container scanning, secrets scanning, and vulnerability management. Strong knowledge of secret management and security tooling such as HashiCorp Vault, AWS Secrets Manager, Azure Key Vault, or similar platforms. Experience with observability, monitoring, logging, and alerting platforms such as Datadog, Prometheus, Grafana, CloudWatch, Splunk, Dynatrace, or ELK. Familiarity with security and compliance frameworks such as SOC2, ISO27001, or enterprise audit control environments. Ability to troubleshoot complex pipeline, infrastructure, deployment, and production issues across cloud-native environments. Preferred / Nice to Have Experience building AI-assisted infrastructure provisioning workflows. Experience implementing autonomous or semi-autonomous incident response and remediation capabilities. Experience with MLOps, model deployment pipelines, model monitoring, MLflow, SageMaker, or equivalent platforms. Experience implementing human-in-the-loop approval models for AI-generated operational actions. Experience with policy-as-code tools such as Open Policy Agent, Sentinel, Checkov, or similar solutions. Experience working in regulated industries such as banking, financial services, healthcare, or insurance. Experience with GitOps operating models using ArgoCD, Flux, or similar tools. AWS, Kubernetes, DevOps, Security, or AI/ML certifications are a plus. Soft Skills & Mindset Strong "automate everything" mindset with a passion for reducing repetitive manual tasks and operational toil. Security-first approach with practical skepticism of autonomous AI actions and a focus on validation, boundaries, approvals, and rollback. Ability to bridge traditional software engineering, DevOps, SRE, security, and data/AI teams. Strong communication skills with the ability to explain complex AI-enabled DevOps concepts to both technical and leadership audiences. Collaborative educator who can help upskill engineering teams on AI-assisted delivery, secure automation, and modern DevOps practices. Ownership mindset with the ability to design solutions, implement them hands-on, and support them in production. Travel This position requires 3 days in office per the client/project requirement. Degree Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent work experience. Summary The ideal candidate is a senior hands-on DevOps engineer with strong cloud, automation, Kubernetes, and CI/CD expertise, combined with practical experience applying AI, LLM agents, and MCP-based integrations to modern engineering workflows. This role will help create a secure AI-driven delivery ecosystem that accelerates software engineering velocity while maintaining strong governance, reliability, auditability, and operational control. About NTT DATA: NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this remote role is ($55.00-$70.00/Hour). This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on several factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications. NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at -us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
Job Description Job Description Developer & Infrastructure Expert Role Type: Contractor Location: Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform engineering. You will test AI-generated commands, configurations, and workflows and provide practical feedback based on real-world engineering standards. No prior AI experience is required-your technical expertise and infrastructure knowledge are what matter most. Key Responsibilities Test and validate AI-assisted workflows across DevOps, cloud, infrastructure, and platform engineering . Evaluate AI-generated commands, configurations, scripts, and deployment workflows for accuracy and reliability. Work with AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD environments. Review workflows involving GitHub, GitLab, Azure DevOps, and JIRA . Assess AI agents and workplace connectors across tools such as Slack, Google Drive, and Microsoft 365. Identify technical errors, security or reliability concerns, and workflow gaps. Document findings and provide clear, actionable feedback. Recommend improvements based on real-world engineering practices and industry standards. Collaborate remotely with project stakeholders through written evaluations and virtual discussions. Required Skills Azure DevOps Cloud Infrastructure Site Reliability Engineering (SRE) Platform Engineering AWS / Azure / GCP Kubernetes / Docker Terraform CI/CD GitHub / GitLab / JIRA Observability ChatGPT Work Claude Code Claude Cowork AI Agents Workplace Connectors Preferred Qualifications Professional experience in software engineering, DevOps, SRE, cloud, platform, or infrastructure engineering . Hands-on experience with major cloud platforms, Kubernetes, Docker, Terraform, CI/CD, and observability tools. Experience with developer workflow and project management platforms such as GitHub, GitLab, Azure DevOps, and JIRA. Experience using AI agents such as ChatGPT, Claude Code, Claude Cowork, or Codex in development or infrastructure workflows. Strong ability to evaluate technical processes and provide actionable feedback. Excellent written and verbal communication skills. Experience with workplace connectors, automation, or AI-powered infrastructure workflows is a plus.
10/30/2026
Full time
Job Description Job Description Developer & Infrastructure Expert Role Type: Contractor Location: Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform engineering. You will test AI-generated commands, configurations, and workflows and provide practical feedback based on real-world engineering standards. No prior AI experience is required-your technical expertise and infrastructure knowledge are what matter most. Key Responsibilities Test and validate AI-assisted workflows across DevOps, cloud, infrastructure, and platform engineering . Evaluate AI-generated commands, configurations, scripts, and deployment workflows for accuracy and reliability. Work with AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD environments. Review workflows involving GitHub, GitLab, Azure DevOps, and JIRA . Assess AI agents and workplace connectors across tools such as Slack, Google Drive, and Microsoft 365. Identify technical errors, security or reliability concerns, and workflow gaps. Document findings and provide clear, actionable feedback. Recommend improvements based on real-world engineering practices and industry standards. Collaborate remotely with project stakeholders through written evaluations and virtual discussions. Required Skills Azure DevOps Cloud Infrastructure Site Reliability Engineering (SRE) Platform Engineering AWS / Azure / GCP Kubernetes / Docker Terraform CI/CD GitHub / GitLab / JIRA Observability ChatGPT Work Claude Code Claude Cowork AI Agents Workplace Connectors Preferred Qualifications Professional experience in software engineering, DevOps, SRE, cloud, platform, or infrastructure engineering . Hands-on experience with major cloud platforms, Kubernetes, Docker, Terraform, CI/CD, and observability tools. Experience with developer workflow and project management platforms such as GitHub, GitLab, Azure DevOps, and JIRA. Experience using AI agents such as ChatGPT, Claude Code, Claude Cowork, or Codex in development or infrastructure workflows. Strong ability to evaluate technical processes and provide actionable feedback. Excellent written and verbal communication skills. Experience with workplace connectors, automation, or AI-powered infrastructure workflows is a plus.
Job Description Job Description Introduction The Platform Support Engineer is responsible for the operational support, platform administration, observability, and automation of the Orchestra GenAI Gateway infrastructure and supporting platform components. This role focuses on maintaining platform health, monitoring pipelines, infrastructure services, deployment processes, and environment stability across multiple regions. Required Skills & Qualifications 5 years of experience in Platform Support, DevOps, Infrastructure Engineering, or SRE roles. Strong Linux administration experience. Hands-on experience with Python, Bash, or Shell scripting. Experience with infrastructure automation tools such as Terraform and Ansible. Experience with Jenkins, Bitbucket, Artifactory, and CI/CD pipelines. Strong experience implementing and supporting monitoring solutions including Splunk, Dynatrace, OpenTelemetry, Grafana, and enterprise logging platforms. Experience supporting cloud and container platforms including OpenShift and Kubernetes. Knowledge of networking, load balancing, SSL/TLS certificates, DNS, and API integrations. Experience troubleshooting infrastructure, application, and performance-related issues. Understanding of observability, logging, tracing, alerting, and capacity management. Strong analytical, problem-solving, and communication skills. Prior work experience at client or in client's Industry. Applicants must be able to work directly for Artech on W2. Preferred Skills & Qualifications Experience supporting enterprise GenAI or AI/ML platforms. Familiarity with OpenAI, Azure AI, LLM operations, vector databases, and AI observability. Experience implementing self-healing and auto-remediation workflows. Exposure to ServiceNow, Remedy, and enterprise workflow management tools. Experience with cloud platforms such as Azure. Understanding of security, compliance, vulnerability management, and enterprise risk controls. Financial services industry experience. Day-to-Day Responsibilities Work closely with DevOps, SRE, Infrastructure, Security, and Development teams to manage platform services, automate operational processes, implement monitoring solutions, and maintain high availability for GenAI workloads. Identify possible production failure scenarios, create incident tickets, enhancements and/or problem tickets in ticket tracking system, and communicate effectively with development and internal business operations teams. Identify vulnerabilities and opportunities for improvement, maintain metrics to help develop analysis that will drive improvement in all areas of Production Services. Create and enhance administrative, operational and technical policies and procedures, adopting best practice guidelines, standards and procedures. Take ownership of escalations and perform troubleshooting, analysis, research, and resolution using advanced query and programming skills. Perform analytical, technical, and administrative work in planning, installing, designing, and supporting new and existing equipment and software under moderate supervision. Resolve issues and consult with end users to determine optimal configuration of equipment and applications. For immediate consideration please click APPLY to begin the screening process with Alex.
10/30/2026
Full time
Job Description Job Description Introduction The Platform Support Engineer is responsible for the operational support, platform administration, observability, and automation of the Orchestra GenAI Gateway infrastructure and supporting platform components. This role focuses on maintaining platform health, monitoring pipelines, infrastructure services, deployment processes, and environment stability across multiple regions. Required Skills & Qualifications 5 years of experience in Platform Support, DevOps, Infrastructure Engineering, or SRE roles. Strong Linux administration experience. Hands-on experience with Python, Bash, or Shell scripting. Experience with infrastructure automation tools such as Terraform and Ansible. Experience with Jenkins, Bitbucket, Artifactory, and CI/CD pipelines. Strong experience implementing and supporting monitoring solutions including Splunk, Dynatrace, OpenTelemetry, Grafana, and enterprise logging platforms. Experience supporting cloud and container platforms including OpenShift and Kubernetes. Knowledge of networking, load balancing, SSL/TLS certificates, DNS, and API integrations. Experience troubleshooting infrastructure, application, and performance-related issues. Understanding of observability, logging, tracing, alerting, and capacity management. Strong analytical, problem-solving, and communication skills. Prior work experience at client or in client's Industry. Applicants must be able to work directly for Artech on W2. Preferred Skills & Qualifications Experience supporting enterprise GenAI or AI/ML platforms. Familiarity with OpenAI, Azure AI, LLM operations, vector databases, and AI observability. Experience implementing self-healing and auto-remediation workflows. Exposure to ServiceNow, Remedy, and enterprise workflow management tools. Experience with cloud platforms such as Azure. Understanding of security, compliance, vulnerability management, and enterprise risk controls. Financial services industry experience. Day-to-Day Responsibilities Work closely with DevOps, SRE, Infrastructure, Security, and Development teams to manage platform services, automate operational processes, implement monitoring solutions, and maintain high availability for GenAI workloads. Identify possible production failure scenarios, create incident tickets, enhancements and/or problem tickets in ticket tracking system, and communicate effectively with development and internal business operations teams. Identify vulnerabilities and opportunities for improvement, maintain metrics to help develop analysis that will drive improvement in all areas of Production Services. Create and enhance administrative, operational and technical policies and procedures, adopting best practice guidelines, standards and procedures. Take ownership of escalations and perform troubleshooting, analysis, research, and resolution using advanced query and programming skills. Perform analytical, technical, and administrative work in planning, installing, designing, and supporting new and existing equipment and software under moderate supervision. Resolve issues and consult with end users to determine optimal configuration of equipment and applications. For immediate consideration please click APPLY to begin the screening process with Alex.
Job Description Job Description CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . About the Role CoreWeave is seeking a highly skilled and motivated engineer to join our Hardware Engineering team. In this role, you will help design, develop, and optimize our server hardware infrastructure. You'll collaborate closely with cross-functional teams, external vendors, and key stakeholders to deliver performant, reliable, and scalable hardware solutions that power CoreWeave's rapidly growing infrastructure. You will own server hardware from provisioning through decommission. This hands-on role combines engineering and operational support. Engineering work includes automation across the hardware lifecycle, hardware and firmware management services, monitoring and alerting, and qualification and bring-up of new platforms. Operational support includes acting as a senior point of contact for hardware escalations, driving deep root-cause analysis across hardware and firmware, and working quality and RMA issues through to resolution with server vendors and OEMs. Both engineering and operational support are core responsibilities. You will support the systems you build and use what you learn from production failures to improve automation, telemetry, and platform design. You will work closely with data center operations teams, hardware technicians, and engineering teams to bring new regions online and keep existing infrastructure healthy. What You'll Do Design and develop server hardware infrastructure to support CoreWeave's high-performance workloads. Automate all aspects of the server hardware lifecycle, from provisioning and configuration through firmware management, monitoring, and decommissioning. Develop and maintain hardware and firmware management services that ensure reliability at scale. Develop and implement monitoring and alerting for server hardware health, improving alert quality to support reliable on-call response. Serve as a senior point of contact for hardware escalations, performing deep troubleshooting and root-cause analysis across hardware and firmware to drive long-term fixes. Participate in an on-call rotation for hardware escalations and improve the runbooks, alerts, and tooling that make the rotation sustainable. Collaborate with cross-functional teams to define hardware requirements, specifications, and system architecture. Work with server vendors and OEMs to evaluate, qualify, and deploy new platforms and resolve firmware, quality, and RMA issues. Support new data center region bring-up and hardware qualification. Analyze hardware system performance, identify bottlenecks, and implement improvements to efficiency and resilience. Establish and continuously refine processes for internal hardware testing, deployment, and performance optimization. Create and maintain accurate documentation of hardware designs, specifications, test procedures, and results. Support data center operations teams and hardware technicians with troubleshooting guidance, runbooks, and training so common issues can be resolved without engineering escalation. Turn recurring production failures into automation, better telemetry, and improvements to platform design and vendor solutions. Communicate status, trade-offs, and risks clearly to engineering, operations, and customer-facing stakeholders, including during active incidents. Who You Are 4 years working w/ server hardware, components, and management technologies. Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field Proficiency in Ansible or Python, with hands-on experience programmatically interacting with server BMCs using Redfish or IPMI; Redfish preferred. Experience collaborating with hardware vendors and OEMs to evaluate, qualify, and deploy server solutions. Demonstrated experience supporting and troubleshooting production infrastructure, participating in on-call or escalation rotations, and driving incidents through to root-cause resolution. Comfort with both building and automating systems and supporting infrastructure already in production. Proven ability to stay current with technologies and trends in server and data center hardware. Strong interest in automation and infrastructure scalability, with a commitment to continuous improvement. Excellent technical documentation skills and attention to detail. Strong analytical and problem-solving abilities, with a bias toward systematic, data-driven decisions. Excellent written and verbal communication skills in English, with the ability to work effectively with technical teams and cross-functional stakeholders. Preferred Qualifications Experience bringing up new data center regions or standing up infrastructure in a new geography. Experience with GPU platforms and rack-scale systems such as NVIDIA GB200 or GB300. Experience with BMC technologies and management interfaces such as Redfish or IPMI at fleet scale. Experience with firmware lifecycle management or hardware qualification programs in large-scale environments. Strong Linux systems administration and debugging skills at fleet scale. Familiarity with Kubernetes-based services, observability tools such as Prometheus and Grafana, and distributed production environments. Experience designing alerting, runbooks, and self-service tooling that enable operations teams to resolve common hardware failures without engineering escalation. Experience supporting external customers or partners in a technical troubleshooting capacity. Wondering if You're a Good Fit? We believe in investing in our people and value candidates who bring diverse experiences to our teams-even if you aren't a 100% skill or experience match. If some of this describes you, we'd love to talk. You enjoy solving problems at the boundary of hardware, firmware, and software. You want to both build systems and support them, and you use operational experience to improve what you build. You enjoy tracing intermittent hardware failures to their root cause and validating that a fix addresses the underlying problem. You look for opportunities to automate repetitive hardware procedures. You work effectively with operations, engineering, and vendor teams to resolve complex technical issues. You bring structure, accountability, and momentum to fast-moving environments. What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158 . click apply for full job details
10/30/2026
Full time
Job Description Job Description CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . About the Role CoreWeave is seeking a highly skilled and motivated engineer to join our Hardware Engineering team. In this role, you will help design, develop, and optimize our server hardware infrastructure. You'll collaborate closely with cross-functional teams, external vendors, and key stakeholders to deliver performant, reliable, and scalable hardware solutions that power CoreWeave's rapidly growing infrastructure. You will own server hardware from provisioning through decommission. This hands-on role combines engineering and operational support. Engineering work includes automation across the hardware lifecycle, hardware and firmware management services, monitoring and alerting, and qualification and bring-up of new platforms. Operational support includes acting as a senior point of contact for hardware escalations, driving deep root-cause analysis across hardware and firmware, and working quality and RMA issues through to resolution with server vendors and OEMs. Both engineering and operational support are core responsibilities. You will support the systems you build and use what you learn from production failures to improve automation, telemetry, and platform design. You will work closely with data center operations teams, hardware technicians, and engineering teams to bring new regions online and keep existing infrastructure healthy. What You'll Do Design and develop server hardware infrastructure to support CoreWeave's high-performance workloads. Automate all aspects of the server hardware lifecycle, from provisioning and configuration through firmware management, monitoring, and decommissioning. Develop and maintain hardware and firmware management services that ensure reliability at scale. Develop and implement monitoring and alerting for server hardware health, improving alert quality to support reliable on-call response. Serve as a senior point of contact for hardware escalations, performing deep troubleshooting and root-cause analysis across hardware and firmware to drive long-term fixes. Participate in an on-call rotation for hardware escalations and improve the runbooks, alerts, and tooling that make the rotation sustainable. Collaborate with cross-functional teams to define hardware requirements, specifications, and system architecture. Work with server vendors and OEMs to evaluate, qualify, and deploy new platforms and resolve firmware, quality, and RMA issues. Support new data center region bring-up and hardware qualification. Analyze hardware system performance, identify bottlenecks, and implement improvements to efficiency and resilience. Establish and continuously refine processes for internal hardware testing, deployment, and performance optimization. Create and maintain accurate documentation of hardware designs, specifications, test procedures, and results. Support data center operations teams and hardware technicians with troubleshooting guidance, runbooks, and training so common issues can be resolved without engineering escalation. Turn recurring production failures into automation, better telemetry, and improvements to platform design and vendor solutions. Communicate status, trade-offs, and risks clearly to engineering, operations, and customer-facing stakeholders, including during active incidents. Who You Are 4 years working w/ server hardware, components, and management technologies. Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field Proficiency in Ansible or Python, with hands-on experience programmatically interacting with server BMCs using Redfish or IPMI; Redfish preferred. Experience collaborating with hardware vendors and OEMs to evaluate, qualify, and deploy server solutions. Demonstrated experience supporting and troubleshooting production infrastructure, participating in on-call or escalation rotations, and driving incidents through to root-cause resolution. Comfort with both building and automating systems and supporting infrastructure already in production. Proven ability to stay current with technologies and trends in server and data center hardware. Strong interest in automation and infrastructure scalability, with a commitment to continuous improvement. Excellent technical documentation skills and attention to detail. Strong analytical and problem-solving abilities, with a bias toward systematic, data-driven decisions. Excellent written and verbal communication skills in English, with the ability to work effectively with technical teams and cross-functional stakeholders. Preferred Qualifications Experience bringing up new data center regions or standing up infrastructure in a new geography. Experience with GPU platforms and rack-scale systems such as NVIDIA GB200 or GB300. Experience with BMC technologies and management interfaces such as Redfish or IPMI at fleet scale. Experience with firmware lifecycle management or hardware qualification programs in large-scale environments. Strong Linux systems administration and debugging skills at fleet scale. Familiarity with Kubernetes-based services, observability tools such as Prometheus and Grafana, and distributed production environments. Experience designing alerting, runbooks, and self-service tooling that enable operations teams to resolve common hardware failures without engineering escalation. Experience supporting external customers or partners in a technical troubleshooting capacity. Wondering if You're a Good Fit? We believe in investing in our people and value candidates who bring diverse experiences to our teams-even if you aren't a 100% skill or experience match. If some of this describes you, we'd love to talk. You enjoy solving problems at the boundary of hardware, firmware, and software. You want to both build systems and support them, and you use operational experience to improve what you build. You enjoy tracing intermittent hardware failures to their root cause and validating that a fix addresses the underlying problem. You look for opportunities to automate repetitive hardware procedures. You work effectively with operations, engineering, and vendor teams to resolve complex technical issues. You bring structure, accountability, and momentum to fast-moving environments. What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158 . click apply for full job details
Job Description Job Description ImagineX is a tech company that deploys AI-assisted teams to build and secure mission-critical enterprise solutions with our clients - spanning software, data, and AI. Structured like a software company, not a traditional consultancy, we blend deep technical expertise with authentic values, achieving world-class satisfaction (NPS 91). Our dedicated teams specialize in software, data, and AI across the U.S. and LATAM, bridging the gap between boutique agility and enterprise scale. This is a full-time, Columbus, OH-based position that requires onsite visits with the client 5 days a week. ImagineX is seeking a proactive, hands-on engineer/technical project manager to run our DevOps and Site Reliability Engineering (SRE) projects. In this role, you will combine a strong technical engineering background with natural leadership capabilities, driving operational excellence through three core pillars: CI/CD automation & code quality, observability & metrics, and comprehensive engineering management. Core Focus Areas: CI/CD Pipelines & Code Quality: Spearhead pipeline automation, release engineering, and deployment strategies while ensuring engineering teams adhere to proper coding standards, maintain clean architecture, and implement robust automation frameworks. Observability & Metrics: Drive data-driven reliability by establishing and overseeing advanced observability frameworks-including metrics, logging, tracing, and SLO/SLI tracking-to proactively detect issues and optimize system performance. Engineering Leadership & Stakeholder Management: Leverage your deep engineering experience to manage, mentor, and organize high-performing technical teams, applying strong project management rigor while seamlessly bridging technical execution with executive and non-technical stakeholders. Key Responsibilities: Engineering & Team Management: Direct management of DevOps and SRE engineers. Drive performance management, career development, resource allocation, and day-to-day organization/project management. CI/CD & Technical Oversight: Oversee the architecture and setup of robust CI/CD pipelines, deployment automation, and infrastructure modernization, ensuring engineering teams maintain proper coding practices and technical rigor. Observability & Reliability Frameworks: Champion system visibility by architecting comprehensive observability, monitoring, and metrics solutions to ensure high availability and rapid incident response. Stakeholder Engagement & Communication: Act as the primary technical liaison between client leadership, executive sponsors, and the core delivery team. Translate complex engineering concepts into clear business outcomes for non-technical stakeholders while managing expectations and removing blockers. Practice Growth & Delivery Proactivity: Proactively identify delivery risks, architectural bottlenecks, and opportunities for continuous improvement across software, data, and AI solutions. Qualifications & Experience Engineering & Technical Background: 5+ years of hands-on engineering experience in software, DevOps, or SRE, combined with leadership in technical program management or engineering management. CI/CD & Coding Expertise: Demonstrated experience designing, setting up, and optimizing CI/CD pipelines, paired with a strong understanding of proper coding standards, code quality, and infrastructure-as-code principles. Observability Mastery: Deep familiarity with modern observability stacks, metrics-driven monitoring, telemetry, logging, and tracing tools (e.g., Prometheus, Datadog, Grafana, OpenTelemetry). Stakeholder & People Leadership: Exceptional organizational and communication skills with a proven track record of leading technical teams and successfully interfacing with both technical engineers and non-technical business stakeholders. Proactive Drive: Self-starter mindset with the ability to build structure out of ambiguity, champion best practices, and drive continuous improvement initiatives independently. This role is based in the US and only open to citizens and permanent residents of the US who do not require visa sponsorship. Powered by JazzHR qRjYF92OYJ
10/29/2026
Full time
Job Description Job Description ImagineX is a tech company that deploys AI-assisted teams to build and secure mission-critical enterprise solutions with our clients - spanning software, data, and AI. Structured like a software company, not a traditional consultancy, we blend deep technical expertise with authentic values, achieving world-class satisfaction (NPS 91). Our dedicated teams specialize in software, data, and AI across the U.S. and LATAM, bridging the gap between boutique agility and enterprise scale. This is a full-time, Columbus, OH-based position that requires onsite visits with the client 5 days a week. ImagineX is seeking a proactive, hands-on engineer/technical project manager to run our DevOps and Site Reliability Engineering (SRE) projects. In this role, you will combine a strong technical engineering background with natural leadership capabilities, driving operational excellence through three core pillars: CI/CD automation & code quality, observability & metrics, and comprehensive engineering management. Core Focus Areas: CI/CD Pipelines & Code Quality: Spearhead pipeline automation, release engineering, and deployment strategies while ensuring engineering teams adhere to proper coding standards, maintain clean architecture, and implement robust automation frameworks. Observability & Metrics: Drive data-driven reliability by establishing and overseeing advanced observability frameworks-including metrics, logging, tracing, and SLO/SLI tracking-to proactively detect issues and optimize system performance. Engineering Leadership & Stakeholder Management: Leverage your deep engineering experience to manage, mentor, and organize high-performing technical teams, applying strong project management rigor while seamlessly bridging technical execution with executive and non-technical stakeholders. Key Responsibilities: Engineering & Team Management: Direct management of DevOps and SRE engineers. Drive performance management, career development, resource allocation, and day-to-day organization/project management. CI/CD & Technical Oversight: Oversee the architecture and setup of robust CI/CD pipelines, deployment automation, and infrastructure modernization, ensuring engineering teams maintain proper coding practices and technical rigor. Observability & Reliability Frameworks: Champion system visibility by architecting comprehensive observability, monitoring, and metrics solutions to ensure high availability and rapid incident response. Stakeholder Engagement & Communication: Act as the primary technical liaison between client leadership, executive sponsors, and the core delivery team. Translate complex engineering concepts into clear business outcomes for non-technical stakeholders while managing expectations and removing blockers. Practice Growth & Delivery Proactivity: Proactively identify delivery risks, architectural bottlenecks, and opportunities for continuous improvement across software, data, and AI solutions. Qualifications & Experience Engineering & Technical Background: 5+ years of hands-on engineering experience in software, DevOps, or SRE, combined with leadership in technical program management or engineering management. CI/CD & Coding Expertise: Demonstrated experience designing, setting up, and optimizing CI/CD pipelines, paired with a strong understanding of proper coding standards, code quality, and infrastructure-as-code principles. Observability Mastery: Deep familiarity with modern observability stacks, metrics-driven monitoring, telemetry, logging, and tracing tools (e.g., Prometheus, Datadog, Grafana, OpenTelemetry). Stakeholder & People Leadership: Exceptional organizational and communication skills with a proven track record of leading technical teams and successfully interfacing with both technical engineers and non-technical business stakeholders. Proactive Drive: Self-starter mindset with the ability to build structure out of ambiguity, champion best practices, and drive continuous improvement initiatives independently. This role is based in the US and only open to citizens and permanent residents of the US who do not require visa sponsorship. Powered by JazzHR qRjYF92OYJ
Job Description Job Description SUMMARY We focus on delivering high-quality software swiftly and reliably. Our mission is to optimize deployment, ensuring efficient and confident feature updates for users. We maintain stable, secure, and scalable systems for growth. If you love automation, continuous delivery, and smooth operations, you'll excel here. ESSENTIAL DUTIES AND RESPONSIBILITIES Design, implement, and maintain CI/CD pipelines to support fast, safe, and repeatable deployments. Automate infrastructure provisioning using Infrastructure as Code (IaC) tools such as Terraform or ARM templates. Manage and optimize cloud infrastructure on Microsoft Azure, ensuring high availability, performance, and security. Leverage Azure DevOps for version control, build/release pipelines, and project tracking. Monitor system performance and proactively address issues across development, staging, and production environments. Collaborate with engineering teams to improve deployment strategies, observability, and incident response. Track and improve DORA metrics: Deployment Frequency, Lead Time for Changes, Change Failure Rate, and Mean Time to Recovery. Contribute to the implementation of security best practices across infrastructure and deployment workflows. QUALIFICATIONS To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. KNOWLEDGE, SKILLS, and/or ABILITIES Required 5 years of experience in a DevOps Engineering, or related role. Strong hands-on experience with Azure DevOps and Azure cloud services. Proficiency with containerization and orchestration tools (e.g., Docker, Kubernetes). Experience with CI/CD tools such as Azure Pipelines, GitHub Actions or GitLab CI. Solid scripting skills (e.g., Bash, PowerShell, Python). Familiarity with monitoring and logging tools (e.g., Grafana, ELK, Azure Monitor). Strong understanding of networking, security, and system administration fundamentals. Preferred Experience with serverless architectures and microservices. Microsoft Azure certifications (e.g., AZ-400, AZ-104). Familiarity with Agile, DevSecOps, and ITIL practices. EDUCATION and/or EXPERIENCE Required Education - 2 year degree in Computer Science or related field of study. Experience - 0-2 years of experience in software development. o Understanding of Enterprise software systems and Line of Business development Preferred Education - 4 year degree in Computer Science or related field of study. Experience o 3-5 years of experience in software development. o Previous experience in the distribution industry o Development of APIs
10/29/2026
Full time
Job Description Job Description SUMMARY We focus on delivering high-quality software swiftly and reliably. Our mission is to optimize deployment, ensuring efficient and confident feature updates for users. We maintain stable, secure, and scalable systems for growth. If you love automation, continuous delivery, and smooth operations, you'll excel here. ESSENTIAL DUTIES AND RESPONSIBILITIES Design, implement, and maintain CI/CD pipelines to support fast, safe, and repeatable deployments. Automate infrastructure provisioning using Infrastructure as Code (IaC) tools such as Terraform or ARM templates. Manage and optimize cloud infrastructure on Microsoft Azure, ensuring high availability, performance, and security. Leverage Azure DevOps for version control, build/release pipelines, and project tracking. Monitor system performance and proactively address issues across development, staging, and production environments. Collaborate with engineering teams to improve deployment strategies, observability, and incident response. Track and improve DORA metrics: Deployment Frequency, Lead Time for Changes, Change Failure Rate, and Mean Time to Recovery. Contribute to the implementation of security best practices across infrastructure and deployment workflows. QUALIFICATIONS To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. KNOWLEDGE, SKILLS, and/or ABILITIES Required 5 years of experience in a DevOps Engineering, or related role. Strong hands-on experience with Azure DevOps and Azure cloud services. Proficiency with containerization and orchestration tools (e.g., Docker, Kubernetes). Experience with CI/CD tools such as Azure Pipelines, GitHub Actions or GitLab CI. Solid scripting skills (e.g., Bash, PowerShell, Python). Familiarity with monitoring and logging tools (e.g., Grafana, ELK, Azure Monitor). Strong understanding of networking, security, and system administration fundamentals. Preferred Experience with serverless architectures and microservices. Microsoft Azure certifications (e.g., AZ-400, AZ-104). Familiarity with Agile, DevSecOps, and ITIL practices. EDUCATION and/or EXPERIENCE Required Education - 2 year degree in Computer Science or related field of study. Experience - 0-2 years of experience in software development. o Understanding of Enterprise software systems and Line of Business development Preferred Education - 4 year degree in Computer Science or related field of study. Experience o 3-5 years of experience in software development. o Previous experience in the distribution industry o Development of APIs
