Job Description Job Description Description: Synapse ITS builds SYO, an intelligent cloud ecosystem that helps cities and DOTs respond to faults faster and keep intersections running safely and efficiently. We're hiring a mid-level DevOps Engineer to help run, automate and secure the platform behind SYO. You'll work with a distributed engineering team, and you'll play a key part in our SOC 2 compliance work. Responsibilities: • Build and maintain CI/CD pipelines for automated build, test, security scanning and deployment. • Provision and manage cloud infrastructure with Infrastructure as Code (Terraform, Terragrunt or similar). • Operate containerized workloads on Kubernetes or managed container services, including scaling, upgrades and cost tuning. • Set up and improve monitoring, logging, alerting and dashboards so you can track availability, latency and the health of device and data pipelines. • Respond quickly to production support issues and incidents, troubleshoot and fix problems, run root-cause analysis and write blameless postmortems. • Implement SOC 2 controls, including access management, encryption, patching and audit evidence. • Manage backup, disaster recovery and high-availability setups, and test them against RTO/RPO targets. • Help developers across time zones with environment setup, release coordination and troubleshooting. • Write and maintain runbooks, architecture diagrams and operational procedures. • Find manual toil and automate it. Requirements: • 3-5 years in DevOps, SRE or cloud infrastructure roles. • Hands-on production experience with at least one major cloud provider (AWS, Azure or GCP). • Strong skills with IaC tools, ideally Terraform and Terragrunt. • Experience with Docker and Kubernetes (EKS, AKS, GKE or self-managed). • Experience with CI/CD tools such as GitHub Actions, GitLab CI, Azure DevOps or Jenkins. • Scripting skills in Bash and Python, Go or PowerShell. • Solid Linux, networking (DNS, TLS, load balancing, VPC/VNet) and Git fundamentals. • Experience with observability tools such as Google Cloud Monitoring, Cloud Logging and Grafana. • Clear written and verbal communication in English, and comfort working asynchronously with a distributed team. Preferred Qualifications: • Experience supporting SOC 2, ISO 27001 or similar compliance programs. • Exposure to IoT, edge devices or real-time data streaming (MQTT, Kafka, Pub/Sub). • Familiarity with GitOps (Argo CD, Flux) and Helm. • Background in traffic, smart city or mission-critical systems. What Success Looks (First 6-12 Months): • Deployments are fully automated with a documented rollback path. • Monitoring covers SYO's critical services, with actionable alerts and fewer false pages. • You own a defined set of SOC 2 controls and their evidence collection. • Incident response time and deployment frequency both improve measurably.
10/31/2026
Full time
Job Description Job Description Description: Synapse ITS builds SYO, an intelligent cloud ecosystem that helps cities and DOTs respond to faults faster and keep intersections running safely and efficiently. We're hiring a mid-level DevOps Engineer to help run, automate and secure the platform behind SYO. You'll work with a distributed engineering team, and you'll play a key part in our SOC 2 compliance work. Responsibilities: • Build and maintain CI/CD pipelines for automated build, test, security scanning and deployment. • Provision and manage cloud infrastructure with Infrastructure as Code (Terraform, Terragrunt or similar). • Operate containerized workloads on Kubernetes or managed container services, including scaling, upgrades and cost tuning. • Set up and improve monitoring, logging, alerting and dashboards so you can track availability, latency and the health of device and data pipelines. • Respond quickly to production support issues and incidents, troubleshoot and fix problems, run root-cause analysis and write blameless postmortems. • Implement SOC 2 controls, including access management, encryption, patching and audit evidence. • Manage backup, disaster recovery and high-availability setups, and test them against RTO/RPO targets. • Help developers across time zones with environment setup, release coordination and troubleshooting. • Write and maintain runbooks, architecture diagrams and operational procedures. • Find manual toil and automate it. Requirements: • 3-5 years in DevOps, SRE or cloud infrastructure roles. • Hands-on production experience with at least one major cloud provider (AWS, Azure or GCP). • Strong skills with IaC tools, ideally Terraform and Terragrunt. • Experience with Docker and Kubernetes (EKS, AKS, GKE or self-managed). • Experience with CI/CD tools such as GitHub Actions, GitLab CI, Azure DevOps or Jenkins. • Scripting skills in Bash and Python, Go or PowerShell. • Solid Linux, networking (DNS, TLS, load balancing, VPC/VNet) and Git fundamentals. • Experience with observability tools such as Google Cloud Monitoring, Cloud Logging and Grafana. • Clear written and verbal communication in English, and comfort working asynchronously with a distributed team. Preferred Qualifications: • Experience supporting SOC 2, ISO 27001 or similar compliance programs. • Exposure to IoT, edge devices or real-time data streaming (MQTT, Kafka, Pub/Sub). • Familiarity with GitOps (Argo CD, Flux) and Helm. • Background in traffic, smart city or mission-critical systems. What Success Looks (First 6-12 Months): • Deployments are fully automated with a documented rollback path. • Monitoring covers SYO's critical services, with actionable alerts and fewer false pages. • You own a defined set of SOC 2 controls and their evidence collection. • Incident response time and deployment frequency both improve measurably.
Job Description Job Description Lead the teams that get our software securely into production and keep customers running, whether they use our cloud, AWS GovCloud or their own environments. You will report to the CEO, sit on the Senior Leadership Team and lead our DevOps and Support teams. Security and compliance are part of our product, not an afterthought. You will be the accountable owner for how we ship, run and support it, and the technical voice of VisibleThread with customers and prospects. Own our AWS GovCloud environment and its compliance posture (FedRAMP, NIST 800-53, SOC 2). Own release from engineering into production, for our cloud and for customers who host VisibleThread themselves. Run cloud operations: availability, observability, incident response and cost across commercial AWS and GovCloud. Lead the secure SDLC and vulnerability management, plus CI/CD and developer tooling. Lead Support and be the final escalation point for customer issues, including on-premise and restricted environments. Build and develop the DevOps and Support teams, and be our technical adviser to strategic customers. Requirements 12+ years in software, DevOps, SRE or platform engineering, with 5+ years leading technical teams, ideally across operations and customer support. Hands-on ownership of a FedRAMP, NIST 800-53 or similar government compliance program, ideally in AWS GovCloud. Deep experience running production workloads on AWS: availability, incident management, observability and cost. CI/CD and secure SDLC experience: SBOM, dependency and static scanning, remediation SLAs. Experience supporting software that customers run on premise, and enough Java/Spring depth to be credible with engineers. Comfort as a customer-facing technical leader, and experience leading remote teams across time zones. Experience using AI to automate operations, support or developer workflows. US citizenship. Nice to have: Microsoft 365 GCC/GCC High or other US government cloud experience, Datadog or similar tools, and experience as accountable owner in a FedRAMP assessment. VisibleThread builds document-intelligence software for proposal, bid and compliance teams in government agencies, defense contractors and regulated enterprises. Customers run it in our cloud, in AWS GovCloud, in their private cloud, on premises or in air-gapped environments. Location: Virginia / Washington DC metro area, US; remote-friendly with regular overlap with our Ireland-based team (on-site expectations to be confirmed). Benefits Competitive Salary Equity award Hybrid working: Remote with the requirement to work when required out of offices at Tyson's Corner Healthcare, Dental & 401k Chance to work with an exceptionally talented team Work in a fast paced, highly innovative environment, with exciting technology VisibleThread is an equal opportunity employer.
10/31/2026
Full time
Job Description Job Description Lead the teams that get our software securely into production and keep customers running, whether they use our cloud, AWS GovCloud or their own environments. You will report to the CEO, sit on the Senior Leadership Team and lead our DevOps and Support teams. Security and compliance are part of our product, not an afterthought. You will be the accountable owner for how we ship, run and support it, and the technical voice of VisibleThread with customers and prospects. Own our AWS GovCloud environment and its compliance posture (FedRAMP, NIST 800-53, SOC 2). Own release from engineering into production, for our cloud and for customers who host VisibleThread themselves. Run cloud operations: availability, observability, incident response and cost across commercial AWS and GovCloud. Lead the secure SDLC and vulnerability management, plus CI/CD and developer tooling. Lead Support and be the final escalation point for customer issues, including on-premise and restricted environments. Build and develop the DevOps and Support teams, and be our technical adviser to strategic customers. Requirements 12+ years in software, DevOps, SRE or platform engineering, with 5+ years leading technical teams, ideally across operations and customer support. Hands-on ownership of a FedRAMP, NIST 800-53 or similar government compliance program, ideally in AWS GovCloud. Deep experience running production workloads on AWS: availability, incident management, observability and cost. CI/CD and secure SDLC experience: SBOM, dependency and static scanning, remediation SLAs. Experience supporting software that customers run on premise, and enough Java/Spring depth to be credible with engineers. Comfort as a customer-facing technical leader, and experience leading remote teams across time zones. Experience using AI to automate operations, support or developer workflows. US citizenship. Nice to have: Microsoft 365 GCC/GCC High or other US government cloud experience, Datadog or similar tools, and experience as accountable owner in a FedRAMP assessment. VisibleThread builds document-intelligence software for proposal, bid and compliance teams in government agencies, defense contractors and regulated enterprises. Customers run it in our cloud, in AWS GovCloud, in their private cloud, on premises or in air-gapped environments. Location: Virginia / Washington DC metro area, US; remote-friendly with regular overlap with our Ireland-based team (on-site expectations to be confirmed). Benefits Competitive Salary Equity award Hybrid working: Remote with the requirement to work when required out of offices at Tyson's Corner Healthcare, Dental & 401k Chance to work with an exceptionally talented team Work in a fast paced, highly innovative environment, with exciting technology VisibleThread is an equal opportunity employer.
Job Description Job Description Why Etherealize? Etherealize is building the rails to bring Wall Street into the 21st century. Today's financial infrastructure wastes billions in trapped capital and operational inefficiency, forcing institutions to maintain massive reserves, limiting market liquidity, and creating systemic risk that grows more dangerous as markets become increasingly global and interconnected. With $40M in funding from Electric Capital and Paradigm, we are bringing together the best minds from Ethereum and Wall Street to rebuild the infrastructure that underpins the financial system - faster, safer, fully on-chain. We are looking for a Senior DevOps Engineer to own how everything we build gets deployed, secured, observed and kept running. You will be joining a team dedicated to unlocking the true potential of on-chain finance, creating a world where traditional assets flow seamlessly through blockchain protocols. Etherealize has a series of products moving from beta to production with institutional clients, and we need the right person to make sure they run flawlessly. Why This Role Exists Until now, infrastructure and deployments for our web application have been handled by the engineering team alongside their product work. As we move from beta into production, with multiple client environments, contractual SLAs and SOC 2 on the horizon, that is no longer sustainable. At the same time, our blockchain infrastructure , including an Ethereum execution client instance we operate ourselves and a ZK proving pipeline running alongside it, is about to become a first-class production concern. This is not a backfill. You will be the first dedicated DevOps hire and the foremost infrastructure expert in the company. The basics are in place; you will reimagine our deployments, monitoring, alerting, runbooks and infrastructure security for production, and own them end to end. What Will You Do? You will sit across engineering, security and the protocol team, and will be expected to look at an architecture diagram and know how you want to deploy it and keep it running - we will be asking you what we should do, not the other way around. Infrastructure as Code: Own our AWS infrastructure in Terraform. Design modular, well-architected Terraform that scales cleanly across multiple client environments and maintain it with the attention to detail that production financial infrastructure demands; a single misconfigured variable or secret is a latent bug a client will find later. Web Application Operations: Take over deployment and management of our client-facing web application environments, including CI/CD, environment provisioning and regular contract and application upgrades. Blockchain Node Operations: Run and maintain Ethereum node software in production including Ethereum L1 nodes and Reth-based execution client instances where we are the sole operator of the state. Keep them in sync, snapshot and restore them, run read replicas, handle reorgs, and know what to watch for before it becomes a problem. ZK Proving Infrastructure: Operate the proving pipeline that runs alongside our execution client, including managing and monitoring a GPU cluster. You do not need to understand the cryptography; you do need to keep a heterogeneous, GPU-heavy workload healthy, scalable and observable. Site Reliability & Observability: Build the monitoring, dashboards and alerting we will need to demonstrate uptime against client SLAs for both conventional web metrics and chain-specific health (sync distance, block times, time since last block, proving throughput). Design and test backups, disaster recovery, multi-AZ and multi-region resilience, and traffic failover. DevSecOps & Secrets Management: Bring secrets management into the infrastructure-as-code pipeline (HashiCorp Vault or equivalent), including private key and signer key handling, and partner with our security lead on SOC 2 readiness, policy-as-code and infrastructure controls. Incident Response & Runbooks: Define how the company handles incidents in production: on-call, escalation, runbooks and post-mortems. Cross-team Partnership: Work closely with the protocol engineers who built our execution client customisations and proving pipeline to understand how the services fit together and iterate on how they are deployed and operated. Who Are You? You are a hands-on senior operator who wants a blank slate and the autonomy to build it right, and who is comfortable executing as a one- or two-person function rather than hiring a department. Required 5+ years in DevOps, platform engineering or SRE roles, with at least 3 years writing and managing production-grade Terraform on AWS. You build modular, reusable Terraform, and if we handed you an environment whose state file had drifted badly out of sync and asked you to reconcile it without taking anything down, you would smile and say "that's easy." Front-line experience deploying and operating production infrastructure at serious companies, where uptime and data integrity had real business consequences. Strong SRE fundamentals: observability, alerting, backups and restores, disaster recovery, high availability across zones and regions. Secrets management in an infrastructure-as-code pipeline (HashiCorp Vault or equivalent), including signing keys held in a hardware or cryptographic boundary (e.g., cloud KMS, HSM, MPC, or Vault Transit) with rotation and access control. Genuine blockchain familiarity. You have worked with Ethereum or EVM infrastructure and understand what a node does, how it syncs and what can go wrong. Meticulous attention to detail, strong communication, and the raw problem-solving ability to get into genuinely hard, novel infrastructure problems. Strongly Preferred Hands-on experience running Ethereum L1 or L2 node software in production (e.g. at a node provider, staking operator, L2 team or exchange): snapshots, restores, read replicas, reorg handling, sync monitoring. Experience operating a Reth instance or an L2 / rollup stack. Deeper HashiCorp ecosystem experience: Sentinel (policy as code), Boundary. SOC 2 or comparable compliance experience from the infrastructure side. Nice to Have Operating ZK proving infrastructure or GPU clusters (monitoring, scaling, hardware health). Integrating with Web3 custodians and the key-management, network and data-centre security requirements that come with them. Kubernetes, and container-based deployment at scale. What's In It For You? Front-row seat to Ethereum history: You will own the infrastructure of a company fundamentally changing how financial markets operate, in a flexible, fast-moving environment where your impact is immediately visible. Scope & autonomy: You will define how Etherealize does infrastructure, security operations and reliability from the ground up, and have the ear of engineering, security and leadership while you do it. Career rocket fuel: We are one of the most dynamic and exciting startups in Ethereum, with deep ties to the Ethereum Foundation and other foundational Ethereum institutions. You'll work directly with Zach Obront (CTO, secured $10B+ in on-chain assets, ZK & L2 systems), alongside co-founder Danny Ryan (led Ethereum's Merge) and a team from Coinbase, Bloomberg, Microsoft, and Kraken. After this role, the sky's the limit for your career.
10/31/2026
Full time
Job Description Job Description Why Etherealize? Etherealize is building the rails to bring Wall Street into the 21st century. Today's financial infrastructure wastes billions in trapped capital and operational inefficiency, forcing institutions to maintain massive reserves, limiting market liquidity, and creating systemic risk that grows more dangerous as markets become increasingly global and interconnected. With $40M in funding from Electric Capital and Paradigm, we are bringing together the best minds from Ethereum and Wall Street to rebuild the infrastructure that underpins the financial system - faster, safer, fully on-chain. We are looking for a Senior DevOps Engineer to own how everything we build gets deployed, secured, observed and kept running. You will be joining a team dedicated to unlocking the true potential of on-chain finance, creating a world where traditional assets flow seamlessly through blockchain protocols. Etherealize has a series of products moving from beta to production with institutional clients, and we need the right person to make sure they run flawlessly. Why This Role Exists Until now, infrastructure and deployments for our web application have been handled by the engineering team alongside their product work. As we move from beta into production, with multiple client environments, contractual SLAs and SOC 2 on the horizon, that is no longer sustainable. At the same time, our blockchain infrastructure , including an Ethereum execution client instance we operate ourselves and a ZK proving pipeline running alongside it, is about to become a first-class production concern. This is not a backfill. You will be the first dedicated DevOps hire and the foremost infrastructure expert in the company. The basics are in place; you will reimagine our deployments, monitoring, alerting, runbooks and infrastructure security for production, and own them end to end. What Will You Do? You will sit across engineering, security and the protocol team, and will be expected to look at an architecture diagram and know how you want to deploy it and keep it running - we will be asking you what we should do, not the other way around. Infrastructure as Code: Own our AWS infrastructure in Terraform. Design modular, well-architected Terraform that scales cleanly across multiple client environments and maintain it with the attention to detail that production financial infrastructure demands; a single misconfigured variable or secret is a latent bug a client will find later. Web Application Operations: Take over deployment and management of our client-facing web application environments, including CI/CD, environment provisioning and regular contract and application upgrades. Blockchain Node Operations: Run and maintain Ethereum node software in production including Ethereum L1 nodes and Reth-based execution client instances where we are the sole operator of the state. Keep them in sync, snapshot and restore them, run read replicas, handle reorgs, and know what to watch for before it becomes a problem. ZK Proving Infrastructure: Operate the proving pipeline that runs alongside our execution client, including managing and monitoring a GPU cluster. You do not need to understand the cryptography; you do need to keep a heterogeneous, GPU-heavy workload healthy, scalable and observable. Site Reliability & Observability: Build the monitoring, dashboards and alerting we will need to demonstrate uptime against client SLAs for both conventional web metrics and chain-specific health (sync distance, block times, time since last block, proving throughput). Design and test backups, disaster recovery, multi-AZ and multi-region resilience, and traffic failover. DevSecOps & Secrets Management: Bring secrets management into the infrastructure-as-code pipeline (HashiCorp Vault or equivalent), including private key and signer key handling, and partner with our security lead on SOC 2 readiness, policy-as-code and infrastructure controls. Incident Response & Runbooks: Define how the company handles incidents in production: on-call, escalation, runbooks and post-mortems. Cross-team Partnership: Work closely with the protocol engineers who built our execution client customisations and proving pipeline to understand how the services fit together and iterate on how they are deployed and operated. Who Are You? You are a hands-on senior operator who wants a blank slate and the autonomy to build it right, and who is comfortable executing as a one- or two-person function rather than hiring a department. Required 5+ years in DevOps, platform engineering or SRE roles, with at least 3 years writing and managing production-grade Terraform on AWS. You build modular, reusable Terraform, and if we handed you an environment whose state file had drifted badly out of sync and asked you to reconcile it without taking anything down, you would smile and say "that's easy." Front-line experience deploying and operating production infrastructure at serious companies, where uptime and data integrity had real business consequences. Strong SRE fundamentals: observability, alerting, backups and restores, disaster recovery, high availability across zones and regions. Secrets management in an infrastructure-as-code pipeline (HashiCorp Vault or equivalent), including signing keys held in a hardware or cryptographic boundary (e.g., cloud KMS, HSM, MPC, or Vault Transit) with rotation and access control. Genuine blockchain familiarity. You have worked with Ethereum or EVM infrastructure and understand what a node does, how it syncs and what can go wrong. Meticulous attention to detail, strong communication, and the raw problem-solving ability to get into genuinely hard, novel infrastructure problems. Strongly Preferred Hands-on experience running Ethereum L1 or L2 node software in production (e.g. at a node provider, staking operator, L2 team or exchange): snapshots, restores, read replicas, reorg handling, sync monitoring. Experience operating a Reth instance or an L2 / rollup stack. Deeper HashiCorp ecosystem experience: Sentinel (policy as code), Boundary. SOC 2 or comparable compliance experience from the infrastructure side. Nice to Have Operating ZK proving infrastructure or GPU clusters (monitoring, scaling, hardware health). Integrating with Web3 custodians and the key-management, network and data-centre security requirements that come with them. Kubernetes, and container-based deployment at scale. What's In It For You? Front-row seat to Ethereum history: You will own the infrastructure of a company fundamentally changing how financial markets operate, in a flexible, fast-moving environment where your impact is immediately visible. Scope & autonomy: You will define how Etherealize does infrastructure, security operations and reliability from the ground up, and have the ear of engineering, security and leadership while you do it. Career rocket fuel: We are one of the most dynamic and exciting startups in Ethereum, with deep ties to the Ethereum Foundation and other foundational Ethereum institutions. You'll work directly with Zach Obront (CTO, secured $10B+ in on-chain assets, ZK & L2 systems), alongside co-founder Danny Ryan (led Ethereum's Merge) and a team from Coinbase, Bloomberg, Microsoft, and Kraken. After this role, the sky's the limit for your career.
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 Role: AWS Cloud DevOps Engineer (ArcGIS/Esri Platform) Duration: 6 months Location: San Francisco, CA Type : Contract Pay Rate: $50 to $60/hr Job Description: Seeking an experienced AWS Cloud DevOps Engineer to support, automate, and maintain critical geospatial applications and cloud infrastructure within a utility/energy company environment. The ideal candidate will possess strong AWS infrastructure expertise, Infrastructure as Code (Terraform), CI/CD automation, Linux and Windows administration skills, and experience supporting Esri ArcGIS Enterprise environments. Experience in the energy and utilities sector is highly desirable. Mandatory Skills: Strong hands-on experience with AWS Systems Manager (SSM) and Runbook development. Strong experience in AWS CodePipeline and CodeBuild implementation. Experience managing AWS infrastructure using Terraform Cloud Workspaces and reusable modules. Experience with EC2, ALB, EFS, IAM, KMS, Route 53, CloudWatch, CloudTrail, S3, ECS, ECR, RDS, and DynamoDB. Experience with Python, YAML, Bash, and PowerShell scripting. Strong Linux (Red Hat) and Windows Server administration experience. Experience with GitHub-based source control and CI/CD processes.
10/31/2026
Full time
Job Description Job Description Role: AWS Cloud DevOps Engineer (ArcGIS/Esri Platform) Duration: 6 months Location: San Francisco, CA Type : Contract Pay Rate: $50 to $60/hr Job Description: Seeking an experienced AWS Cloud DevOps Engineer to support, automate, and maintain critical geospatial applications and cloud infrastructure within a utility/energy company environment. The ideal candidate will possess strong AWS infrastructure expertise, Infrastructure as Code (Terraform), CI/CD automation, Linux and Windows administration skills, and experience supporting Esri ArcGIS Enterprise environments. Experience in the energy and utilities sector is highly desirable. Mandatory Skills: Strong hands-on experience with AWS Systems Manager (SSM) and Runbook development. Strong experience in AWS CodePipeline and CodeBuild implementation. Experience managing AWS infrastructure using Terraform Cloud Workspaces and reusable modules. Experience with EC2, ALB, EFS, IAM, KMS, Route 53, CloudWatch, CloudTrail, S3, ECS, ECR, RDS, and DynamoDB. Experience with Python, YAML, Bash, and PowerShell scripting. Strong Linux (Red Hat) and Windows Server administration experience. Experience with GitHub-based source control and CI/CD processes.
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: Application Support Engineer Location: San Leandro, CA (onsite) Duration : Long term Contract Pay Rate: $60-65 C2C Required skills : Java developer with application support- Application production Support. Job Summary: We are seeking a seasoned Java Application Support Engineer to provide L2/L3 production support for enterprise Java applications. The ideal candidate will be responsible for monitoring application health, troubleshooting production issues, performing root cause analysis, supporting releases, and ensuring high availability and performance of business-critical systems. The role requires strong expertise in Java technologies, incident management, database troubleshooting, and collaboration with development, infrastructure, and business teams. Key Responsibilities Provide L2/L3 production support for Java-based enterprise applications and APIs. Monitor application performance, availability, and system health using observability and monitoring tools. Investigate and resolve production incidents, service disruptions, and performance issues within SLA timelines. Analyze application logs, thread dumps, heap dumps, and system metrics to diagnose complex issues. Perform root cause analysis (RCA) and implement preventive measures to reduce recurring incidents. Support application deployments, releases, environment management, and post-release validation activities. Troubleshoot REST APIs, microservices, middleware integrations, and batch processing failures. Execute SQL queries for data analysis, validation, and issue investigation. Collaborate with Development, Infrastructure, DBA, Cloud, and Business teams for incident resolution. Participate in on-call support rotation for critical production issues. Drive automation initiatives to improve operational efficiency and reduce manual effort. Maintain support documentation, knowledge articles, runbooks, and operational procedures. Support change management, problem management, and incident management processes following ITIL best practices. Required Qualifications Technical Skills Strong experience in Java, J2EE, Spring, Spring Boot, and Microservices. Experience supporting RESTful APIs and distributed applications. Good understanding of JVM, Garbage Collection, Thread Management, and Performance Tuning. Hands-on experience with relational databases such as Oracle, SQL Server, PostgreSQL, or MySQL. Strong SQL skills for troubleshooting and data analysis. Experience with Linux/Unix environments and shell scripting. Knowledge of application servers such as Tomcat, JBoss, or WebSphere. Familiarity with messaging technologies like Kafka, JMS, or MQ. Experience with CI/CD tools such as Jenkins, GitHub Actions, Azure DevOps, or GitLab CI. Knowledge of cloud platforms such as AWS, Azure, or Eligible to workP is preferred. Experience using monitoring tools such as AppDynamics, Dynatrace, Splunk, Grafana, Datadog, ELK, or New Relic. Process & Support Skills Strong understanding of ITIL processes including Incident, Problem, and Change Management. Experience working with ticketing tools such as ServiceNow, Jira, or Remedy. Ability to manage and coordinate P1/P2 Major Incidents. Excellent troubleshooting, analytical, and problem-solving skills. Preferred Qualifications Experience supporting high-volume banking, financial services, insurance, or enterprise platforms. Exposure to container platforms such as Docker, Kubernetes, or OpenShift . Experience with AI-assisted developer tools such as GitHub Copilot or Microsoft Copilot . ITIL Foundation certification is a plus. Soft Skills Strong communication and stakeholder management skills. Ability to work in a fast-paced production support environment. Strong ownership and accountability. Excellent collaboration and documentation skills. Nice-to-Have Technologies Spring Cloud / OpenShift / Kubernetes / Kafka / MongoDB / Redis / Splunk / AppDynamics / Dynatrace / Jenkins
10/31/2026
Full time
Job Description Job Description Job Title: Application Support Engineer Location: San Leandro, CA (onsite) Duration : Long term Contract Pay Rate: $60-65 C2C Required skills : Java developer with application support- Application production Support. Job Summary: We are seeking a seasoned Java Application Support Engineer to provide L2/L3 production support for enterprise Java applications. The ideal candidate will be responsible for monitoring application health, troubleshooting production issues, performing root cause analysis, supporting releases, and ensuring high availability and performance of business-critical systems. The role requires strong expertise in Java technologies, incident management, database troubleshooting, and collaboration with development, infrastructure, and business teams. Key Responsibilities Provide L2/L3 production support for Java-based enterprise applications and APIs. Monitor application performance, availability, and system health using observability and monitoring tools. Investigate and resolve production incidents, service disruptions, and performance issues within SLA timelines. Analyze application logs, thread dumps, heap dumps, and system metrics to diagnose complex issues. Perform root cause analysis (RCA) and implement preventive measures to reduce recurring incidents. Support application deployments, releases, environment management, and post-release validation activities. Troubleshoot REST APIs, microservices, middleware integrations, and batch processing failures. Execute SQL queries for data analysis, validation, and issue investigation. Collaborate with Development, Infrastructure, DBA, Cloud, and Business teams for incident resolution. Participate in on-call support rotation for critical production issues. Drive automation initiatives to improve operational efficiency and reduce manual effort. Maintain support documentation, knowledge articles, runbooks, and operational procedures. Support change management, problem management, and incident management processes following ITIL best practices. Required Qualifications Technical Skills Strong experience in Java, J2EE, Spring, Spring Boot, and Microservices. Experience supporting RESTful APIs and distributed applications. Good understanding of JVM, Garbage Collection, Thread Management, and Performance Tuning. Hands-on experience with relational databases such as Oracle, SQL Server, PostgreSQL, or MySQL. Strong SQL skills for troubleshooting and data analysis. Experience with Linux/Unix environments and shell scripting. Knowledge of application servers such as Tomcat, JBoss, or WebSphere. Familiarity with messaging technologies like Kafka, JMS, or MQ. Experience with CI/CD tools such as Jenkins, GitHub Actions, Azure DevOps, or GitLab CI. Knowledge of cloud platforms such as AWS, Azure, or Eligible to workP is preferred. Experience using monitoring tools such as AppDynamics, Dynatrace, Splunk, Grafana, Datadog, ELK, or New Relic. Process & Support Skills Strong understanding of ITIL processes including Incident, Problem, and Change Management. Experience working with ticketing tools such as ServiceNow, Jira, or Remedy. Ability to manage and coordinate P1/P2 Major Incidents. Excellent troubleshooting, analytical, and problem-solving skills. Preferred Qualifications Experience supporting high-volume banking, financial services, insurance, or enterprise platforms. Exposure to container platforms such as Docker, Kubernetes, or OpenShift . Experience with AI-assisted developer tools such as GitHub Copilot or Microsoft Copilot . ITIL Foundation certification is a plus. Soft Skills Strong communication and stakeholder management skills. Ability to work in a fast-paced production support environment. Strong ownership and accountability. Excellent collaboration and documentation skills. Nice-to-Have Technologies Spring Cloud / OpenShift / Kubernetes / Kafka / MongoDB / Redis / Splunk / AppDynamics / Dynatrace / Jenkins
Job Description Job Description Why Flux Flux is taking the hard out of hardware. To do this, we're building the world's first AI hardware engineer. Founded in 2019, our platform enables anyone to go from idea to manufacturable board using nothing more than a natural language prompt. This democratizes a process that has historically required years of specialized expertise. We're going after a $15B+ electronic design automation market, backed by 8VC, Bain Capital Ventures, Liquid 2 Ventures, Outsiders Fund, Figma board member John Lilly, and GitHub founder Tom Preston-Werner. In February 2026, we closed a total of $37M in funding to accelerate that mission. What happens when we unlock the ability for anyone to make hardware? We fundamentally reshape the world. That's our mission, and we're just getting started. The Role Flux is building the world's first AI Hardware Engineer, and that means everything around it has to just work. As a DevOps Engineer, you'll work on the full-stack systems that power Flux's platform experience beyond the editor: billing, authentication, onboarding, and integrations. You'll ship production features that touch every user, keep the lights on, and make it possible for Flux to scale. What You'll Do Improve the reliability, availability, and operational health of production systems. Set observability standards across services (metrics, logs, errors). Set SLOs/SLIs, alerting, and on-call readiness with a focus on signal quality. Partner with engineers to design resilient systems and reduce operational risk early. Build internal tooling that improves system safety, debugging, and developer velocity. Manage infrastructure via Pulumi across GCP, AWS, and Firebase. What You'll Bring 5+ years SRE, DevOps, or production operations experience. Proven experience operating and scaling production systems with uptime and latency goals. Strong hands-on experience with observability stacks (Datadog, Sentry, or similar). Experience defining SLOs/SLIs and building effective alerting strategies. Proficiency with CI/CD systems and infrastructure-as-code. Experience with cloud-native and serverless platforms (GCP, AWS). Strong cross-system debugging and incident response skills. Preferred Qualifications Experience with multi-product distributed cloud tracing (stitching together Datadog, Sentry, GCP tracing). Familiarity with containerized and serverless workloads (Cloud Run, Firebase, Lambda). Experience with TypeScript, Node.js, and React, or the ability and desire to learn. Background supporting AI-powered systems or high-variance workloads. Startup experience or ownership of systems through rapid growth. Profile Impact-oriented: You don't feel done until real people are getting real value from what you built. Ambiguity-native: You thrive in the undefined. Our work is full of half-mapped terrain, soft constraints, and ideas that shift under your feet. That energizes you. You constantly update your intuitions as you go, and are excited to discover new and better ways to attack challenges we're still finding words to describe. Collaborative: You share your thoughts early and often, and welcome debate and creative collaboration. Flux is a deeply collaborative company, and we believe that the best ideas can only win if they're said out loud. Convention-averse: Flux is an AI-first company, building AI tooling, using AI tooling. We constantly experiment with new tools, techniques, and processes. You feel an urgency to reimagine what your work looks like in this rapidly changing world, and you value critical thinking far above established conventions. Ownership mentality: You are a self-starter, bias toward action, and care deeply about the team and community who lean on you and your work. Flux is an equal opportunity employer. We are committed to providing equal employment opportunities to all qualified individuals and do not discriminate on the basis of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable federal, state, or local law. All employment decisions are based on qualifications, merit, and business need. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Compensation Range: $183K - $248K
10/31/2026
Full time
Job Description Job Description Why Flux Flux is taking the hard out of hardware. To do this, we're building the world's first AI hardware engineer. Founded in 2019, our platform enables anyone to go from idea to manufacturable board using nothing more than a natural language prompt. This democratizes a process that has historically required years of specialized expertise. We're going after a $15B+ electronic design automation market, backed by 8VC, Bain Capital Ventures, Liquid 2 Ventures, Outsiders Fund, Figma board member John Lilly, and GitHub founder Tom Preston-Werner. In February 2026, we closed a total of $37M in funding to accelerate that mission. What happens when we unlock the ability for anyone to make hardware? We fundamentally reshape the world. That's our mission, and we're just getting started. The Role Flux is building the world's first AI Hardware Engineer, and that means everything around it has to just work. As a DevOps Engineer, you'll work on the full-stack systems that power Flux's platform experience beyond the editor: billing, authentication, onboarding, and integrations. You'll ship production features that touch every user, keep the lights on, and make it possible for Flux to scale. What You'll Do Improve the reliability, availability, and operational health of production systems. Set observability standards across services (metrics, logs, errors). Set SLOs/SLIs, alerting, and on-call readiness with a focus on signal quality. Partner with engineers to design resilient systems and reduce operational risk early. Build internal tooling that improves system safety, debugging, and developer velocity. Manage infrastructure via Pulumi across GCP, AWS, and Firebase. What You'll Bring 5+ years SRE, DevOps, or production operations experience. Proven experience operating and scaling production systems with uptime and latency goals. Strong hands-on experience with observability stacks (Datadog, Sentry, or similar). Experience defining SLOs/SLIs and building effective alerting strategies. Proficiency with CI/CD systems and infrastructure-as-code. Experience with cloud-native and serverless platforms (GCP, AWS). Strong cross-system debugging and incident response skills. Preferred Qualifications Experience with multi-product distributed cloud tracing (stitching together Datadog, Sentry, GCP tracing). Familiarity with containerized and serverless workloads (Cloud Run, Firebase, Lambda). Experience with TypeScript, Node.js, and React, or the ability and desire to learn. Background supporting AI-powered systems or high-variance workloads. Startup experience or ownership of systems through rapid growth. Profile Impact-oriented: You don't feel done until real people are getting real value from what you built. Ambiguity-native: You thrive in the undefined. Our work is full of half-mapped terrain, soft constraints, and ideas that shift under your feet. That energizes you. You constantly update your intuitions as you go, and are excited to discover new and better ways to attack challenges we're still finding words to describe. Collaborative: You share your thoughts early and often, and welcome debate and creative collaboration. Flux is a deeply collaborative company, and we believe that the best ideas can only win if they're said out loud. Convention-averse: Flux is an AI-first company, building AI tooling, using AI tooling. We constantly experiment with new tools, techniques, and processes. You feel an urgency to reimagine what your work looks like in this rapidly changing world, and you value critical thinking far above established conventions. Ownership mentality: You are a self-starter, bias toward action, and care deeply about the team and community who lean on you and your work. Flux is an equal opportunity employer. We are committed to providing equal employment opportunities to all qualified individuals and do not discriminate on the basis of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable federal, state, or local law. All employment decisions are based on qualifications, merit, and business need. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Compensation Range: $183K - $248K
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 DevOps Engineer (Founding Team) Location: San Francisco Bay Area Type: Full-Time Compensation: Competitive salary + meaningful equity (founding tier) Backed by 8VC, we're building a world-class team to tackle one of the industry's most critical infrastructure problems. About the Role We're building an AI-native, multi-tenant enterprise platform for complex domains in industrial verticals. In this architecture, DevOps isn't just about shipping features - it's about operationalizing intelligent agents , ensuring traceability across AI systems , and supporting mission-critical ML infrastructure at scale. We're looking for a DevOps engineer who can own infrastructure from Day 1 - automating everything from CI/CD and observability to cloud governance and security. You'll work with a highly technical team building real-time AI pipelines and multi-agent systems. If you want to be the person who makes the platform run - fast, secure, reliable, and explainable - this is your role. Responsibilities Build and maintain scalable cloud infrastructure across AWS/GCP/Azure with a focus on secure, tenant-isolated deployments Own and evolve CI/CD systems (e.g. GitHub Actions, ArgoCD) with progressive rollout, testing, and rollback flows Establish observability tooling across services, agents, and pipelines (OpenTelemetry, Prometheus, Grafana, Sentry) Implement policy-as-code (OPA, Rego) for deployment safety, RBAC, audit logging, and approval workflows Define and enforce SLAs, uptime targets (99.99%+), incident response, and remediation workflows Secure infrastructure: IAM, VPC, encryption, key management, image scanning, secrets rotation Automate deployments, infrastructure provisioning (Terraform, Helm), and environment replication What We're Looking For Core Experience: 4-10+ years in DevOps, platform engineering, or SRE in production-grade systems Strong experience with Docker, Kubernetes (EKS/GKE), Terraform or Pulumi Hands-on experience deploying and monitoring distributed cloud-native systems Familiar with GitOps practices, CI/CD design, progressive delivery, and secure SDLC Clear understanding of how to implement monitoring, alerting, and failure simulation in dynamic environments Engineering Mindset: Obsessed with reliability, latency, uptime, and repeatability Security-aware and compliance-conscious Proactive - you don't wait for alerts to fix things Comfortable collaborating with backend, AI, and data teams Bonus: Agent-Native / ML Ops Capabilities We're building an agentic, AI-native platform from the ground up. Experience here isn't required, but would be a strong differentiator: Experience running LLM orchestration frameworks (e.g. LangChain, LangGraph, Dust, ReAct agents) Building retrieval-augmented generation (RAG) pipelines - and deploying them safely and repeatably Familiarity with vector DBs (Weaviate, Qdrant, Pinecone) and embedding pipelines Monitoring and governing long-running or multi-agent chains Auditability and replay systems for agent decision-making Serving fine-tuned or open-source LLMs with model versioning and GPU scaling (e.g. vLLM, TGI) Interest in auto-remediation using agents (e.g. observability + alert insight response via LLM) Why This Role Matters DevOps is the nervous system of the platform - every agent, every data fabric component, every pipeline flows through what you build. This is a rare opportunity to design that system early, the right way, and future-proof it for scale, compliance, and trust. If you're excited by intelligent systems, distributed data, and deeply technical infrastructure problems - and you want your work to have immediate real-world impact - we'd love to hear from you.
10/31/2026
Full time
Job Description Job Description DevOps Engineer (Founding Team) Location: San Francisco Bay Area Type: Full-Time Compensation: Competitive salary + meaningful equity (founding tier) Backed by 8VC, we're building a world-class team to tackle one of the industry's most critical infrastructure problems. About the Role We're building an AI-native, multi-tenant enterprise platform for complex domains in industrial verticals. In this architecture, DevOps isn't just about shipping features - it's about operationalizing intelligent agents , ensuring traceability across AI systems , and supporting mission-critical ML infrastructure at scale. We're looking for a DevOps engineer who can own infrastructure from Day 1 - automating everything from CI/CD and observability to cloud governance and security. You'll work with a highly technical team building real-time AI pipelines and multi-agent systems. If you want to be the person who makes the platform run - fast, secure, reliable, and explainable - this is your role. Responsibilities Build and maintain scalable cloud infrastructure across AWS/GCP/Azure with a focus on secure, tenant-isolated deployments Own and evolve CI/CD systems (e.g. GitHub Actions, ArgoCD) with progressive rollout, testing, and rollback flows Establish observability tooling across services, agents, and pipelines (OpenTelemetry, Prometheus, Grafana, Sentry) Implement policy-as-code (OPA, Rego) for deployment safety, RBAC, audit logging, and approval workflows Define and enforce SLAs, uptime targets (99.99%+), incident response, and remediation workflows Secure infrastructure: IAM, VPC, encryption, key management, image scanning, secrets rotation Automate deployments, infrastructure provisioning (Terraform, Helm), and environment replication What We're Looking For Core Experience: 4-10+ years in DevOps, platform engineering, or SRE in production-grade systems Strong experience with Docker, Kubernetes (EKS/GKE), Terraform or Pulumi Hands-on experience deploying and monitoring distributed cloud-native systems Familiar with GitOps practices, CI/CD design, progressive delivery, and secure SDLC Clear understanding of how to implement monitoring, alerting, and failure simulation in dynamic environments Engineering Mindset: Obsessed with reliability, latency, uptime, and repeatability Security-aware and compliance-conscious Proactive - you don't wait for alerts to fix things Comfortable collaborating with backend, AI, and data teams Bonus: Agent-Native / ML Ops Capabilities We're building an agentic, AI-native platform from the ground up. Experience here isn't required, but would be a strong differentiator: Experience running LLM orchestration frameworks (e.g. LangChain, LangGraph, Dust, ReAct agents) Building retrieval-augmented generation (RAG) pipelines - and deploying them safely and repeatably Familiarity with vector DBs (Weaviate, Qdrant, Pinecone) and embedding pipelines Monitoring and governing long-running or multi-agent chains Auditability and replay systems for agent decision-making Serving fine-tuned or open-source LLMs with model versioning and GPU scaling (e.g. vLLM, TGI) Interest in auto-remediation using agents (e.g. observability + alert insight response via LLM) Why This Role Matters DevOps is the nervous system of the platform - every agent, every data fabric component, every pipeline flows through what you build. This is a rare opportunity to design that system early, the right way, and future-proof it for scale, compliance, and trust. If you're excited by intelligent systems, distributed data, and deeply technical infrastructure problems - and you want your work to have immediate real-world impact - we'd love to hear from you.
Job Description Job Description Benefits: Company parties Health insurance Opportunity for advancement Required Qualifications • 8+ years of overall IT industry experience. • 5+ years of hands-on experience with Kafka or NoSQL technologies. • Strong programming skills in Python and/or Java, with a focus on automation and tooling. • Experience with CI/CD pipelines and Infrastructure as Code (IaC) tools such as Git, CloudFormation, and Terraform. • Experience with at least one cloud platform: AWS, Azure, or Kubernetes-based environments. • Experience building AI-powered solutions, MCP Servers, Agentic AI systems, or GenAI-based automation tools. • Strong Linux/Unix administration and troubleshooting experience. • Excellent analytical, debugging, problem-solving, verbal, and written communication skills. Preferred Qualifications • Experience with DevOps and Site Reliability Engineering (SRE) practices. • Strong production support, incident management, issue triaging, and root cause analysis experience. • Experience with Docker and Kubernetes administration, deployment, and performance tuning. • Knowledge of security best practices, vulnerability management, CVE analysis, and monitoring cloud/system/device logs. • Experience designing self-service platforms and operational automation solutions. Key Responsibilities • Build, manage, and support Kafka and NoSQL platforms in production environments. • Design, implement, and maintain scalable platform architectures and deployment solutions. • Develop and maintain automation tools for infrastructure provisioning, monitoring, and operational workflows. • Integrate AI/GenAI capabilities into operational tools and platform management processes. • Design and implement CI/CD pipelines and Infrastructure as Code solutions. • Execute and manage code deployments across development, testing, staging, and production environments. • Troubleshoot and resolve platform, infrastructure, and application issues across all environments. • Monitor system performance, reliability, availability, and security, and drive continuous improvements. • Collaborate with development, operations, and architecture teams to improve platform efficiency and developer productivity. • Drive operational excellence through automation, observability, reliability engineering, and proactive issue resolution. Ideal Candidate A self-driven engineer who can take ownership of complex platform challenges, build innovative automation and AI-driven solutions, communicate effectively with stakeholders, and operate with minimal supervision in a fast-paced production environment. Amazon Web Services (AWS) No 2-5 Years Is Required Amazon Web Services S3 (AWS S3) No 2-5 Years Is Required Amazon Web Services EKS (AWS EKS) No 2-5 Years Is Required Apache Kafka No 2-5 Years Is Required Artificial Intelligence No At least 1 year Is Required AWS-EC2 No 2-5 Years Is Required GitHub No 2-5 Years Is Required Kubernetes No 2-5 Years Is Required NoSQL No 5-10 Years Is Required python No 5-10 Years Is Required
10/31/2026
Full time
Job Description Job Description Benefits: Company parties Health insurance Opportunity for advancement Required Qualifications • 8+ years of overall IT industry experience. • 5+ years of hands-on experience with Kafka or NoSQL technologies. • Strong programming skills in Python and/or Java, with a focus on automation and tooling. • Experience with CI/CD pipelines and Infrastructure as Code (IaC) tools such as Git, CloudFormation, and Terraform. • Experience with at least one cloud platform: AWS, Azure, or Kubernetes-based environments. • Experience building AI-powered solutions, MCP Servers, Agentic AI systems, or GenAI-based automation tools. • Strong Linux/Unix administration and troubleshooting experience. • Excellent analytical, debugging, problem-solving, verbal, and written communication skills. Preferred Qualifications • Experience with DevOps and Site Reliability Engineering (SRE) practices. • Strong production support, incident management, issue triaging, and root cause analysis experience. • Experience with Docker and Kubernetes administration, deployment, and performance tuning. • Knowledge of security best practices, vulnerability management, CVE analysis, and monitoring cloud/system/device logs. • Experience designing self-service platforms and operational automation solutions. Key Responsibilities • Build, manage, and support Kafka and NoSQL platforms in production environments. • Design, implement, and maintain scalable platform architectures and deployment solutions. • Develop and maintain automation tools for infrastructure provisioning, monitoring, and operational workflows. • Integrate AI/GenAI capabilities into operational tools and platform management processes. • Design and implement CI/CD pipelines and Infrastructure as Code solutions. • Execute and manage code deployments across development, testing, staging, and production environments. • Troubleshoot and resolve platform, infrastructure, and application issues across all environments. • Monitor system performance, reliability, availability, and security, and drive continuous improvements. • Collaborate with development, operations, and architecture teams to improve platform efficiency and developer productivity. • Drive operational excellence through automation, observability, reliability engineering, and proactive issue resolution. Ideal Candidate A self-driven engineer who can take ownership of complex platform challenges, build innovative automation and AI-driven solutions, communicate effectively with stakeholders, and operate with minimal supervision in a fast-paced production environment. Amazon Web Services (AWS) No 2-5 Years Is Required Amazon Web Services S3 (AWS S3) No 2-5 Years Is Required Amazon Web Services EKS (AWS EKS) No 2-5 Years Is Required Apache Kafka No 2-5 Years Is Required Artificial Intelligence No At least 1 year Is Required AWS-EC2 No 2-5 Years Is Required GitHub No 2-5 Years Is Required Kubernetes No 2-5 Years Is Required NoSQL No 5-10 Years Is Required python No 5-10 Years Is Required
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 Prelim Prelim builds digital account-opening infrastructure for community banks and credit unions. We've sustained over 100% ARR growth for four consecutive years on seed funding, and our platform sits in the critical path of how banks onboard their customers. When our system is down, a bank can't open accounts for its customers. We're a small team. You'd be our first dedicated DevOps hire, which means you'll own infrastructure end to end. What you'll own Own the build, test, and deploy pipeline. Our engineers ship fast; your job is to make shipping fast and safe: progressive rollouts, fast rollbacks, deploy confidence. Make and enforce our infrastructure as fully reproducible environments via code. Define and hit uptime targets our bank customers contractually depend on. Build out monitoring, alerting, and incident response so we find problems before our customers do. Mature our on-call practice from heroics into a system. We sell to regulated financial institutions. Change management, access controls, and audit logging need to produce evidence, not just exist. You'll partner closely with our security function on our ongoing SOC 2 and bank due-diligence requirements. Own the cloud bill. Growth shouldn't mean linear infrastructure spend. What we're looking for 5+ years in DevOps / SRE / platform engineering roles; experience as an early or solo infra hire strongly preferred Deep fluency with a major cloud provider (AWS) and infrastructure-as-code in production You've built CI/CD pipelines other engineers loved, not just tolerated Strong opinions on observability. You've instrumented systems, defined SLOs, and run incident processes Comfortable operating in a regulated or compliance-heavy environment, or eager to learn what that demands (SOC 2, ISO 27001) You default to automation and mechanisms over manual process, and you document what you build Pragmatic: you can tell the difference between what a 50-person company needs now and what a 400-person company needs later Nice to have Fintech, banking, or other regulated-industry experience Experience with multi-tenant SaaS architecture Database operations experience (backups, migrations, performance) Security-adjacent skills: secrets management, network segmentation, least-privilege IAM About Prelim Prelim is a San Francisco and New York City-based startup that operates with fully remote positions across the US, helping banks onboard their customers. Our platform is designed to streamline the account opening process for both consumers and businesses, accelerating speed-to-market and enhancing the customer experience for financial institutions. If you're excited to help shape the future of the banking industry, we encourage you to apply and join our team at Prelim. We are seeking individuals who are driven, ambitious, and eager to make a real impact in a traditional industry ready for technological innovation. We offer equity, a sponsored 401K, parental leave, and fully paid health, vision, and dental insurance. Additional benefits include unlimited PTO, a remote work stipend, a life-style stipend, and twice-yearly company retreats. Prelim values diversity and inclusion; people of all backgrounds are welcome to join our mission to transform banking. Compensation Range: $210K - $230K
10/31/2026
Full time
Job Description Job Description About Prelim Prelim builds digital account-opening infrastructure for community banks and credit unions. We've sustained over 100% ARR growth for four consecutive years on seed funding, and our platform sits in the critical path of how banks onboard their customers. When our system is down, a bank can't open accounts for its customers. We're a small team. You'd be our first dedicated DevOps hire, which means you'll own infrastructure end to end. What you'll own Own the build, test, and deploy pipeline. Our engineers ship fast; your job is to make shipping fast and safe: progressive rollouts, fast rollbacks, deploy confidence. Make and enforce our infrastructure as fully reproducible environments via code. Define and hit uptime targets our bank customers contractually depend on. Build out monitoring, alerting, and incident response so we find problems before our customers do. Mature our on-call practice from heroics into a system. We sell to regulated financial institutions. Change management, access controls, and audit logging need to produce evidence, not just exist. You'll partner closely with our security function on our ongoing SOC 2 and bank due-diligence requirements. Own the cloud bill. Growth shouldn't mean linear infrastructure spend. What we're looking for 5+ years in DevOps / SRE / platform engineering roles; experience as an early or solo infra hire strongly preferred Deep fluency with a major cloud provider (AWS) and infrastructure-as-code in production You've built CI/CD pipelines other engineers loved, not just tolerated Strong opinions on observability. You've instrumented systems, defined SLOs, and run incident processes Comfortable operating in a regulated or compliance-heavy environment, or eager to learn what that demands (SOC 2, ISO 27001) You default to automation and mechanisms over manual process, and you document what you build Pragmatic: you can tell the difference between what a 50-person company needs now and what a 400-person company needs later Nice to have Fintech, banking, or other regulated-industry experience Experience with multi-tenant SaaS architecture Database operations experience (backups, migrations, performance) Security-adjacent skills: secrets management, network segmentation, least-privilege IAM About Prelim Prelim is a San Francisco and New York City-based startup that operates with fully remote positions across the US, helping banks onboard their customers. Our platform is designed to streamline the account opening process for both consumers and businesses, accelerating speed-to-market and enhancing the customer experience for financial institutions. If you're excited to help shape the future of the banking industry, we encourage you to apply and join our team at Prelim. We are seeking individuals who are driven, ambitious, and eager to make a real impact in a traditional industry ready for technological innovation. We offer equity, a sponsored 401K, parental leave, and fully paid health, vision, and dental insurance. Additional benefits include unlimited PTO, a remote work stipend, a life-style stipend, and twice-yearly company retreats. Prelim values diversity and inclusion; people of all backgrounds are welcome to join our mission to transform banking. Compensation Range: $210K - $230K
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 Job Title: DevOps / Kubernetes Engineer Location: Santa Clara Working Mode: Hybrid - 3 days Job Summary We are looking for an experienced DevOps / Kubernetes Engineer to design, implement, and maintain scalable, reliable, and secure cloud infrastructure. The ideal candidate will have hands-on experience with Kubernetes, containerization, CI/CD pipelines, cloud platforms, and infrastructure automation. Key Responsibilities Design, deploy, configure, and manage Kubernetes clusters for application deployment and orchestration. Build and maintain CI/CD pipelines to automate application builds, testing, deployments, and releases. Work with Docker and container technologies to package, deploy, and manage applications. Automate infrastructure provisioning and configuration using Terraform, Ansible, or similar tools. Manage cloud infrastructure on AWS, Microsoft Azure, or Google Cloud Platform (GCP). Monitor application and infrastructure performance using tools such as Prometheus, Grafana, ELK, or similar platforms. Troubleshoot deployment failures, Kubernetes cluster issues, networking problems, and production incidents. Implement security best practices, access controls, secrets management, and infrastructure monitoring. Collaborate with development, QA, security, and operations teams to improve deployment reliability and operational efficiency. Required Skills and Qualifications 5 years of experience in DevOps, Cloud Engineering, Site Reliability Engineering (SRE), or a related role. Strong hands-on experience with Kubernetes, Docker, and container orchestration. Experience developing and maintaining CI/CD pipelines using Jenkins, GitLab CI/CD, GitHub Actions, or similar tools. Working knowledge of AWS, Azure, or GCP cloud services. Experience with Infrastructure as Code (IaC) tools such as Terraform or Ansible. Proficiency in Linux administration, shell scripting, and troubleshooting. Understanding of networking, load balancing, security, and application deployment architectures. Experience with monitoring, logging, and incident management tools. Strong problem-solving, communication, and collaboration skills. Preferred Qualifications Kubernetes certifications such as CKA, CKAD, or CKS. Experience with Helm charts, GitOps tools such as Argo CD or Flux, and service mesh technologies. Exposure to microservices architecture and production-grade cloud-native applications.
10/31/2026
Full time
Job Description Job Description Job Title: DevOps / Kubernetes Engineer Location: Santa Clara Working Mode: Hybrid - 3 days Job Summary We are looking for an experienced DevOps / Kubernetes Engineer to design, implement, and maintain scalable, reliable, and secure cloud infrastructure. The ideal candidate will have hands-on experience with Kubernetes, containerization, CI/CD pipelines, cloud platforms, and infrastructure automation. Key Responsibilities Design, deploy, configure, and manage Kubernetes clusters for application deployment and orchestration. Build and maintain CI/CD pipelines to automate application builds, testing, deployments, and releases. Work with Docker and container technologies to package, deploy, and manage applications. Automate infrastructure provisioning and configuration using Terraform, Ansible, or similar tools. Manage cloud infrastructure on AWS, Microsoft Azure, or Google Cloud Platform (GCP). Monitor application and infrastructure performance using tools such as Prometheus, Grafana, ELK, or similar platforms. Troubleshoot deployment failures, Kubernetes cluster issues, networking problems, and production incidents. Implement security best practices, access controls, secrets management, and infrastructure monitoring. Collaborate with development, QA, security, and operations teams to improve deployment reliability and operational efficiency. Required Skills and Qualifications 5 years of experience in DevOps, Cloud Engineering, Site Reliability Engineering (SRE), or a related role. Strong hands-on experience with Kubernetes, Docker, and container orchestration. Experience developing and maintaining CI/CD pipelines using Jenkins, GitLab CI/CD, GitHub Actions, or similar tools. Working knowledge of AWS, Azure, or GCP cloud services. Experience with Infrastructure as Code (IaC) tools such as Terraform or Ansible. Proficiency in Linux administration, shell scripting, and troubleshooting. Understanding of networking, load balancing, security, and application deployment architectures. Experience with monitoring, logging, and incident management tools. Strong problem-solving, communication, and collaboration skills. Preferred Qualifications Kubernetes certifications such as CKA, CKAD, or CKS. Experience with Helm charts, GitOps tools such as Argo CD or Flux, and service mesh technologies. Exposure to microservices architecture and production-grade cloud-native 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 Why this role exists FloQast's AI products have outgrown the infrastructure patterns the rest of the platform runs on. Transform, AI Matching, and AutoBuilder are customer-facing products carrying real accounting workloads, and they behave nothing like a CRUD service. They call foundation models in multiple regions, execute generated code in sandboxes, spend money per token rather than per request, and fail in ways a 500-rate dashboard never catches. Today, DevOps engineers carry this work alongside the wider fleet. We are making it someone's whole job. You will embed with the Transform and Close AI pods and own the AI runtime the way our other embedded DevOps engineers own their business unit's platform. This is a DevOps role with an AI infrastructure specialization, not a research or modeling role. You will not train models or tune prompts for accuracy. You will make the systems that serve them fast, observable, multi-region, cost-bounded, and auditable. The products you'll support Transform. FloQast's data transformation and analytics product: a monorepo of containerized services on AWS, including an agentic LLM thread runtime, a natural-language-to-SQL service, and queue-driven workflow workers. You'll own the foundation-model runtime across our US, EU, and AU regions, sandbox isolation for AI-executed code, autoscaling for the worker fleet, and cost attribution for model spend. AI Matching. The automated reconciliation matching stack in our Close product line: LLM-backed match scoring, a matching copilot service family, and a regression harness that guards matching quality. You'll own throughput and unit economics at close-cycle peak, the sandbox for AI-generated code, and keeping the eval harness running in CI so a model or prompt change cannot ship blind. AutoBuilder. The Transform capability that generates transformation workflows and scripts for users instead of making them hand-build each one. You'll own generation-queue health and backpressure, triage that distinguishes a model failure from an infrastructure failure, scale-to-demand behavior for spiky load, and the latency budget for a user waiting on a generated artifact. What You'll Do: AI runtime infrastructure. Own our AWS Bedrock and Bedrock AgentCore footprint across US, EU, and AU: model access, provisioned versus on-demand throughput, cross-region inference, quotas and throttles, and region-appropriate model availability. Data residency drives the multi-region design as much as latency does. Define the standard way product teams call a model, retry it, budget it, log it, and trace it, so they stop hand-rolling those primitives. Sandboxed execution. Operate the execution environments for AI-generated code, with session lifecycle limits, network controls, and least-privilege IAM. Infrastructure as code. Write and review Terraform across a multi-account, multi-region AWS estate. Every AI resource lands as code. Nothing is hand-made in a console. Observability for AI workloads. Extend our Grafana platform with the signals AI systems need: token consumption, per-model and per-region latency distributions, throttle and retry rates, tool-call failure taxonomy, sandbox session outcomes, generation success rate, and end-to-end agent traces. Define SLOs against critical user journeys, because an AI SLO that only measures HTTP health measures nothing. Cost engineering. Treat AI spend as a first-class cost line: model inference, serving capacity, sandbox compute, and the telemetry volume these systems generate. Tag everything so per-business-unit, and ideally per-tenant, attribution shows up in our FinOps tooling. CI/CD and delivery. Build GitHub Actions pipelines for Node/TypeScript and Python services in NX monorepos. Make model and prompt changes releasable like code: versioned, gated on eval suites, feature-flagged, reversible. A prompt change that silently degrades matching accuracy should be caught by a pipeline, not by a customer. Reliability and on-call. Join the DevOps on-call rotation, with runbooks you help write for AI-specific failure modes: region-wide model throttling, sandbox exhaustion, silent degradation without errors, poison messages in generation queues. Plan capacity against the accounting calendar; month-end close is the load test. Security, compliance, and tenancy. Hold the AI stack to our SOC 2 and ISO 27001/42001 evidence bar: audit logging, encryption, least-privilege access, patching, and asset inventory, for model endpoints and sandboxes too. Enforce tenant isolation on every AI path, including prompts, retrieved context, generated code, and logs. What You'll Bring: 5+ years in DevOps, SRE, platform, or infrastructure engineering, including production systems you were on call for. Deep, hands-on AWS: ECS/Fargate, Lambda, SQS, S3, IAM, VPC and networking, ALB/NLB. Terraform at production scale: modules, state management, multi-region, multi-account. CI/CD and container ownership: GitHub Actions preferred, Docker, image supply chain, scaling policies. Production AI infrastructure: you have operated at least one LLM-backed or ML-serving workload in production and can speak concretely about tokens, latency, throttling, and cost. Managed foundation-model APIs (Bedrock, Vertex, Azure OpenAI, Anthropic), serving platforms (SageMaker, KServe, Ray Serve, vLLM, Triton, TrueFoundry), agent or tool-execution runtimes, and eval harnesses in CI all count. Observability practice: Grafana, Prometheus, or OpenTelemetry, distributed tracing, and the judgment to define SLOs that measure user experience rather than server aliveness. Working fluency in Python or TypeScript/Node.js, at the level of reading a service, debugging it, and sending a real PR, plus the ability to read the other. Nice to have Multi-region infrastructure under data-residency constraints (US/EU/AU). The product requires this; prior experience with it moves you to the front of the line. AI-specific cost and performance work: token accounting, prompt caching, batching, model routing, right-sizing serving capacity. Sandboxed execution of untrusted or generated code. Terraform orchestration layers (Atmos or comparable) and monorepo build systems (NX, Turborepo, Bazel). Progressive delivery with feature flags (Harness or similar). FinOps tooling (CloudZero or similar) and per-tenant cost attribution. Data infrastructure exposure: MongoDB, PostgreSQL, Snowflake, EMR/Spark. Audit evidence you produced for SOC 2 / ISO 27001, or a cloud-cost reduction you delivered and can explain, including what you traded to get it. Prior work in a regulated or audited SaaS domain: fintech, accounting, healthcare. Not required Model training, fine-tuning, or research publications. An accounting background. We'll teach you the domain, and you'll need enough of it to know what "wrong" looks like. A PhD or formal ML credential. Production judgment beats coursework here. What to Expect: The AI stack Model serving: AWS Bedrock and Bedrock AgentCore across US, EU, and AU regions; TrueFoundry as the model-serving and deployment path Sandboxed execution: AgentCore code-interpreter sessions with session lifecycle limits, network controls, and least-privilege IAM AI observability: Grafana AI agent observability: token spend, per-model and per-region latency, throttle and retry rates, tool-call failures, and end-to-end agent traces, tied to journey-based SLOs Delivery gates: model and prompt changes versioned, gated on eval and regression suites in CI (GitHub Actions), and rolled out or rolled back with Harness feature flags Runs on: multi-region AWS (ECS Fargate and Lambda), defined entirely in Terraform Your first 90 days Days 1-30, map and instrument. Inventory the AI runtime across all three products: regions, model dependencies, IAM posture, IaC coverage, observability gaps. Establish an honest AI cost baseline attributed by business unit. Ship one visible observability win, such as a token-spend-and-throttle dashboard. Days 31-60, close the highest-risk gap. Bring the multi-region model runtime fully under Terraform with no drift. Publish draft journey-based SLOs for the three products, with the pods bought in. Land one delivery-safety improvement: the matching eval suite running as a required CI gate. Days 61-90, make it durable. Own the model-serving path end to end: production-ready, documented, and with no single point of knowledge. Write down the AI runtime patterns and runbooks so the next team extends them instead of rebuilding. Propose the next quarter of AI infrastructure work with the reliability or cost impact attached. How we'll measure success at 12 months The multi-region AI runtime is production-grade: deployed and operated across US, EU, and AU, entirely in code, with no drift attributable to AI infrastructure. Journey-based SLOs are live for Transform, AI Matching, and AutoBuilder, with AI-specific signals (tokens, throttles, tool-call failures, generation success) on the dashboards leadership already reads weekly. AI spend is attributed and bounded: per-business-unit attribution, a defensible unit-cost metric, and a delivered reduction on the AI line. Model and prompt changes ship behind gates: eval suites run in CI, changes are flag-controlled and reversible . click apply for full job details
10/31/2026
Full time
Job Description Job Description Why this role exists FloQast's AI products have outgrown the infrastructure patterns the rest of the platform runs on. Transform, AI Matching, and AutoBuilder are customer-facing products carrying real accounting workloads, and they behave nothing like a CRUD service. They call foundation models in multiple regions, execute generated code in sandboxes, spend money per token rather than per request, and fail in ways a 500-rate dashboard never catches. Today, DevOps engineers carry this work alongside the wider fleet. We are making it someone's whole job. You will embed with the Transform and Close AI pods and own the AI runtime the way our other embedded DevOps engineers own their business unit's platform. This is a DevOps role with an AI infrastructure specialization, not a research or modeling role. You will not train models or tune prompts for accuracy. You will make the systems that serve them fast, observable, multi-region, cost-bounded, and auditable. The products you'll support Transform. FloQast's data transformation and analytics product: a monorepo of containerized services on AWS, including an agentic LLM thread runtime, a natural-language-to-SQL service, and queue-driven workflow workers. You'll own the foundation-model runtime across our US, EU, and AU regions, sandbox isolation for AI-executed code, autoscaling for the worker fleet, and cost attribution for model spend. AI Matching. The automated reconciliation matching stack in our Close product line: LLM-backed match scoring, a matching copilot service family, and a regression harness that guards matching quality. You'll own throughput and unit economics at close-cycle peak, the sandbox for AI-generated code, and keeping the eval harness running in CI so a model or prompt change cannot ship blind. AutoBuilder. The Transform capability that generates transformation workflows and scripts for users instead of making them hand-build each one. You'll own generation-queue health and backpressure, triage that distinguishes a model failure from an infrastructure failure, scale-to-demand behavior for spiky load, and the latency budget for a user waiting on a generated artifact. What You'll Do: AI runtime infrastructure. Own our AWS Bedrock and Bedrock AgentCore footprint across US, EU, and AU: model access, provisioned versus on-demand throughput, cross-region inference, quotas and throttles, and region-appropriate model availability. Data residency drives the multi-region design as much as latency does. Define the standard way product teams call a model, retry it, budget it, log it, and trace it, so they stop hand-rolling those primitives. Sandboxed execution. Operate the execution environments for AI-generated code, with session lifecycle limits, network controls, and least-privilege IAM. Infrastructure as code. Write and review Terraform across a multi-account, multi-region AWS estate. Every AI resource lands as code. Nothing is hand-made in a console. Observability for AI workloads. Extend our Grafana platform with the signals AI systems need: token consumption, per-model and per-region latency distributions, throttle and retry rates, tool-call failure taxonomy, sandbox session outcomes, generation success rate, and end-to-end agent traces. Define SLOs against critical user journeys, because an AI SLO that only measures HTTP health measures nothing. Cost engineering. Treat AI spend as a first-class cost line: model inference, serving capacity, sandbox compute, and the telemetry volume these systems generate. Tag everything so per-business-unit, and ideally per-tenant, attribution shows up in our FinOps tooling. CI/CD and delivery. Build GitHub Actions pipelines for Node/TypeScript and Python services in NX monorepos. Make model and prompt changes releasable like code: versioned, gated on eval suites, feature-flagged, reversible. A prompt change that silently degrades matching accuracy should be caught by a pipeline, not by a customer. Reliability and on-call. Join the DevOps on-call rotation, with runbooks you help write for AI-specific failure modes: region-wide model throttling, sandbox exhaustion, silent degradation without errors, poison messages in generation queues. Plan capacity against the accounting calendar; month-end close is the load test. Security, compliance, and tenancy. Hold the AI stack to our SOC 2 and ISO 27001/42001 evidence bar: audit logging, encryption, least-privilege access, patching, and asset inventory, for model endpoints and sandboxes too. Enforce tenant isolation on every AI path, including prompts, retrieved context, generated code, and logs. What You'll Bring: 5+ years in DevOps, SRE, platform, or infrastructure engineering, including production systems you were on call for. Deep, hands-on AWS: ECS/Fargate, Lambda, SQS, S3, IAM, VPC and networking, ALB/NLB. Terraform at production scale: modules, state management, multi-region, multi-account. CI/CD and container ownership: GitHub Actions preferred, Docker, image supply chain, scaling policies. Production AI infrastructure: you have operated at least one LLM-backed or ML-serving workload in production and can speak concretely about tokens, latency, throttling, and cost. Managed foundation-model APIs (Bedrock, Vertex, Azure OpenAI, Anthropic), serving platforms (SageMaker, KServe, Ray Serve, vLLM, Triton, TrueFoundry), agent or tool-execution runtimes, and eval harnesses in CI all count. Observability practice: Grafana, Prometheus, or OpenTelemetry, distributed tracing, and the judgment to define SLOs that measure user experience rather than server aliveness. Working fluency in Python or TypeScript/Node.js, at the level of reading a service, debugging it, and sending a real PR, plus the ability to read the other. Nice to have Multi-region infrastructure under data-residency constraints (US/EU/AU). The product requires this; prior experience with it moves you to the front of the line. AI-specific cost and performance work: token accounting, prompt caching, batching, model routing, right-sizing serving capacity. Sandboxed execution of untrusted or generated code. Terraform orchestration layers (Atmos or comparable) and monorepo build systems (NX, Turborepo, Bazel). Progressive delivery with feature flags (Harness or similar). FinOps tooling (CloudZero or similar) and per-tenant cost attribution. Data infrastructure exposure: MongoDB, PostgreSQL, Snowflake, EMR/Spark. Audit evidence you produced for SOC 2 / ISO 27001, or a cloud-cost reduction you delivered and can explain, including what you traded to get it. Prior work in a regulated or audited SaaS domain: fintech, accounting, healthcare. Not required Model training, fine-tuning, or research publications. An accounting background. We'll teach you the domain, and you'll need enough of it to know what "wrong" looks like. A PhD or formal ML credential. Production judgment beats coursework here. What to Expect: The AI stack Model serving: AWS Bedrock and Bedrock AgentCore across US, EU, and AU regions; TrueFoundry as the model-serving and deployment path Sandboxed execution: AgentCore code-interpreter sessions with session lifecycle limits, network controls, and least-privilege IAM AI observability: Grafana AI agent observability: token spend, per-model and per-region latency, throttle and retry rates, tool-call failures, and end-to-end agent traces, tied to journey-based SLOs Delivery gates: model and prompt changes versioned, gated on eval and regression suites in CI (GitHub Actions), and rolled out or rolled back with Harness feature flags Runs on: multi-region AWS (ECS Fargate and Lambda), defined entirely in Terraform Your first 90 days Days 1-30, map and instrument. Inventory the AI runtime across all three products: regions, model dependencies, IAM posture, IaC coverage, observability gaps. Establish an honest AI cost baseline attributed by business unit. Ship one visible observability win, such as a token-spend-and-throttle dashboard. Days 31-60, close the highest-risk gap. Bring the multi-region model runtime fully under Terraform with no drift. Publish draft journey-based SLOs for the three products, with the pods bought in. Land one delivery-safety improvement: the matching eval suite running as a required CI gate. Days 61-90, make it durable. Own the model-serving path end to end: production-ready, documented, and with no single point of knowledge. Write down the AI runtime patterns and runbooks so the next team extends them instead of rebuilding. Propose the next quarter of AI infrastructure work with the reliability or cost impact attached. How we'll measure success at 12 months The multi-region AI runtime is production-grade: deployed and operated across US, EU, and AU, entirely in code, with no drift attributable to AI infrastructure. Journey-based SLOs are live for Transform, AI Matching, and AutoBuilder, with AI-specific signals (tokens, throttles, tool-call failures, generation success) on the dashboards leadership already reads weekly. AI spend is attributed and bounded: per-business-unit attribution, a defensible unit-cost metric, and a delivered reduction on the AI line. Model and prompt changes ship behind gates: eval suites run in CI, changes are flag-controlled and reversible . click apply for full job details
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