\nAbout Cyngn \nBased in Menlo Park, CA, Cyngn is a publicly traded autonomous vehicle company. Whether at a warehouse floor, mine, or construction site, our self-driving technology can be deployed in various commercial domains across various vehicle form factors. To build this emergent technology, we seek innovative, motivated, and experienced leaders to join our team and move this field forward. If you like to build, tinker, and create with a team of trusted and passionate colleagues, then Cyngn is the place for you. Key reasons to join Cyngn: \n\n\nWe are Small and Big. \nWith under 100 employees, Cyngn is still a company that operates with the energy of a startup. On the other hand, we are publicly traded. Combined, our employees not only work in close-knit teams with close mentorship from company leaders, but they also get access to the liquidity of our publicly traded equity. This gives our small team the opportunity to make a big impact in industries that other people aren’t touching—without taking on the risks associated with untested organizations. \n\n\nWe Build Today and Deploy Tomorrow. \nOur employees aren’t just researchers but are creating reality. In other words, the autonomous vehicles we’re building are designed to go to real clients right away. We are driven by our passion for innovation, our ability to see the entire product, and the real impact of our work in the real world. At Cyngn, the distance between the theoretical and the actual is razor-thin. \n\n\nWe aren’t robots. We just build them. \nRead our Glassdoor reviews, and you’ll find that one of the best things about working here is the people. We are an inclusive, diverse team of top talent with exceptional synergy. We thrive on open collaboration and a trusting and creative work environment that is fueled by our passion for the industry. At Cyngn, everyone’s voice is valued, and each of our unique perspectives is celebrated. It’s the people that allow our company to continue to grow bigger and better every day.\n\n\n\n\nAbout this Role:\nAs a Senior DevOps Lead at Cyngn, you will play a vital role in architecting and managing infrastructure across cloud and autonomous vehicle systems. This position combines traditional cloud DevOps leadership with specialized expertise in robotics and autonomous systems infrastructure. You will bridge the gap between cloud operations and edge computing while leading a team of DevOps engineers to build and maintain scalable, reliable infrastructure for our autonomous vehicle platform.\n\n\n\nWhat you will do in this role\n* Lead and architect cloud and vehicle infrastructure initiatives across AWS and ROS/Linux environments \n* Design and implement scalable solutions for both cloud services and autonomous vehicle systems \n* Establish and maintain DevOps best practices, CI/CD pipelines, and infrastructure as code \n* Drive observability, monitoring, and incident response strategies \n* Optimize performance and cost efficiency of cloud and edge computing resources \n* Mentor team members and foster a developer-friendly environment \n* Manage on-call rotations and incident response processes \n* Architect solutions for processing and storing large-scale vehicle telemetry data \n* Lead security initiatives and compliance efforts across infrastructure \n* Design and implement solutions for both cloud services and autonomous vehicle systems \n* Optimize system performance for real-time processing of high-bandwidth sensor data \n* Develop and maintain documentation for system architecture and integration procedures \n\n\n\nWho you are\n* 10+ years of relevant DevOps/Infrastructure experience\n* Proven track record as a technical lead in platform or infrastructure teams\n* Advanced expertise in AWS services, infrastructure as code (Terraform), and Kubernetes\n* Strong experience with service mesh (Istio) and Helm/Kustomize\n* Deep understanding of ROS/ROS2 and Linux kernel configurations\n* Experience with GPU configurations and ML infrastructure\n* Expertise in ARM and NVIDIA CUDA platform configurations\n* Strong programming skills in Python and shell scripting\n* Experience with infrastructure automation (Ansible)\n* Expertise in CI/CD tools (Jenkins, GitHub Actions)\n* Strong system architecture and design skills\n* Excellence in technical documentation\n* Outstanding problem-solving abilities\n* Strong leadership and mentoring capabilities\n\n\n\nNice to haves\n* Experience with autonomous vehicle systems\n* Track record of optimizing GPU-based ML infrastructure\n* Experience with large-scale IoT deployments\n* Contributions to open-source projects\n* Experience with real-time systems and low-latency requirements\n* Expertise in security implementations including SSO, IdP, and AWS Cognito\n* Experience with JFrog artifactory and container registry management\n* Proficiency in AWS IoT Greengrass\n* Experience with container resource management on edge devices\n* Understanding of CPU affinity and priority scheduling\n* Track record of implementing cost optimization strategies\n* Experience with scaling systems both horizontally and vertically\n\n\n\nBenefits & Perks\n* Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge)\n* Life, Short-term, and long-term disability insurance (Cyngn funds 100% of premiums)\n* Company 401(k)\n* Commuter Benefits\n* Flexible vacation policy\n* Stock options for all full-time employees\n* Sabbatical leave opportunity after five years with the company\n* Paid Parental Leave\n* Daily lunches for in-office employees and fully stocked kitchen with snacks and beverages\n* Monthly meal and tech allowances for remote employees\n\n\n\n\n\n$180,000 - $240,000 a year\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, DevOps, Cloud, Senior and Linux jobs that are similar:\n\n $45,000 — $75,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nMenlo Park, CA

\nWe are seeking a Senior DevOps Engineer to join our Infrastructure: CI/CD team. Our stack (some parts of it anyway): AWS, Kubernetes, Terraform, ArgoCD, Argo Workflows, Argo Events, GitHub Actions, Kustomize, Helm, Packer, Kafka, Clickhouse, RoR, GO, etc.\n\nIf you are seeking a real challenge involving mission-critical tasks, multi-geographic region deployments, diverse managed services, and the opportunity to work with cutting-edge technologies, this might be the perfect position for you! \n\nIn this role, you will be responsible for the following\n\n\n* \n\nCloud-Native CI/CD Development: Participate in building a modern, cloud-native, scalable, flexible, and extensible CI/CD solution for the entire Workato application ecosystem, focusing on optimized cost, health, stability, minimal build time, security, and compliance, with a reduced on-boarding time.\n\n\n* \n\nAutomation Improvements: Identify and drive opportunities to enhance automation for code integration, quality testing, security scanning, and deployment.\n\n\n* \n\nCI/CD Solution Maintenance: Maintain and enhance the current CI/CD solution for Workato applications, emphasizing health, stability, and minimal build time, following a GitOps-like approach.\n\n\n* \n\nPipeline Implementation: Implement pipelines to automate security, reliability, and availability best practices at all stages of the software lifecycle.\n\n\n* \n\nComplex Deployment Scenarios: Implement complex deployment scenarios, including dynamic environments, progressive rollouts such as canary deployments, and chaos engineering.\n\n\n* \n\nLoad Testing Infrastructure: Create and manage infrastructure for automating load test scenarios and streamlining their execution to catch performance regressions before production.\n\n\n* \n\nEngineering Collaboration: Work with engineering teams to address needs, enable more effective and efficient developer throughput, and improve services through rigorous testing and release processes.\n\n\n* \n\nOn-boarding to CI/CD Platform: On-board Workato components and applications to the CI/CD platform.\n\n\n* \n\nMetrics Analysis: Gather and analyze metrics from CI/CD pipelines and infrastructure to assist in performance tuning and stability improvements.\n\n\n* \n\nSystem Design and Architecture: Participate in system design consulting, platform management, and architecture reviews.\n\n\n* \n\nDocumentation and Best Practices: Document development processes and best practices.\n\n\n* Continuous Improvement: Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.\n\n\n\nRequirements\nQualifications / Experience / Technical Skills\n\n\n* \n\n7+ years professional experience in hands-on engineering roles (DevOps/SRE), BS or MS in the CS field (or equivalent experience).\n\n\n* Kubernetes Expertise: Strong experience managing Kubernetes clusters and workloads, specifically using EKS (Elastic Kubernetes Service).\n\n\n\n* Programming Skills: Proficiency in Go language is essential. Ability to program in other languages such as Python, Ruby, or JavaScript is a plus.\n\n\n\n* CI/CD Tools: Experience creating scalable development and integration pipelines using CI/CD tools such as GitHub Actions, Argo Workflows, GitLab CI, or similar solutions.\n\n\n\n* Kubernetes Deployments: Expertise in deploying Kubernetes-based services using tools like Kustomize, Helm, ArgoCD, or similar, following a GitOps approach.\n\n\n\n* Cloud Architectures: Hands-on experience with cloud-based architectures, particularly Amazon Web Services (AWS).\n\n\n\n* Networking and Web Services: Strong understanding of networking fundamentals and web services architecture.\n\n\n\n* Infrastructure as Code: Experience managing complex infrastructure, including Kubernetes clusters, VPC networking, and security policies, using Infrastructure as Code tools like Terraform.\n\n\n\n* Containerization: Hands-on experience with containers, including creating and optimizing Dockerfiles, using docker-compose, and a deep understanding of related technologies (kernel features, container networking, image structure, and registry).\n\n\n\n* Software Packaging and Testing: Familiarity with software packaging tools, functional testing, security validation tools and services, and code coverage tools.\n\n\n\n* Compliance and Security: Operating Kubernetes clusters in compliance-regulated environments and understanding kernel-level container technologies such as seccomp, namespaces, and cgroups.\n\n\n\n* Security Regulations and Compliance: Experience with cloud and infrastructure security regulations and compliance programs, including SOC2, ISO27001, HIPAA, GDPR, and CCPA.\n\n\n\nSoft Skills / Personal Characteristics\n\n\n* \n\nGood communication and collaboration skills in international technological companies\n\n\n* \n\nReadiness to work remotely with teams distributed across the world and timezones\n\n\n* \n\nGood Spoken English to participate in product-related, architectural and technical discussions\n\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, DevOps, JavaScript, Cloud, Senior and Engineer jobs that are similar:\n\n $60,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nTbilisi, Tbilisi, Georgia

Who You Are\n\nWe are looking for a driven Software Engineer (MLOps) to be a part of our growing AI Platform team. You are bold and creative, and have deep empathy for customers who may not be tech-savvy. You will design and implement significant parts of the code base and will have the opportunity to make an immediate impact with your work and guide the product and team as we grow.\n\nYou are curious and like to understand technologies and their tradeoffs in depth - providing technical guidance to the team and peers as and when required. Leading by example, you have accumulated a wealth of insights and experiences from your hands-on involvement in the field, and you are committed to rolling up your sleeves and getting work done. You like joining and supporting other engineers in their work to learn from them as well as letting them benefit from your expertise and experience.\n\nYou have the motivation and skills to identify technical product needs, initiate projects and owning their delivery, including the involvement of engineering peers as needed. You are comfortable with challenging the status quo respectfully to drive and deliver technical excellence in the team.\n\n**We are seeking a team member located within one of the following areas: USA/Canada/UK\nResponsibilities\n\nThe AI Platform team you are joining is responsible for building the core platform that powers model training, inference and decision making in our products. Furthermore the team owns MLOps and the services hosting our AI capabilities. Productionizing results from Research, as well as extending our systems and providing support according to our customer needs fall into team responsibilities as well. You will join this team as an experienced engineer with a focus on MLOps solutions to grow our expertise in that area, but also contribute as a software engineer more widely in the team.\n\nAs an organization, we strongly believe in expertise across the stack. As such, you will experience flavors of Machine Learning, Software Engineering, Distributed Systems, MLOps and DevOps.\n\nIn particular, you will:\n\n\n* Design, build and lead the MLOps initiatives and vision for the AI Platform to strengthen automation, orchestration, versioning, observability, monitoring and collaboration for the platform.\n\n* Build and design scalable components for the AI Platform to allow high throughput training and inference for RL agents doing realtime inference for autonomous control of industrial systems.\n\n* Contribute to the design and implementation of the product backend by writing REST & gRPC API services and scalable event-driven backend applications.\n\n* Design clear, extensible software interfaces for the team's customers and maintain a high release quality bar.\n\n* Design and optimize data storage & retrieval mechanisms for high throughput, security & ease of access.\n\n* Perform DevOps duties of CI/CD, Release & Deployment management.\n\n* Be a part of our global production oncall team and, own & operate your services in production, meeting Phaidra’s high bar for operational excellence.\n\n* Lead cross-functional initiatives collaborating with engineers, product managers and TPM across teams.\n\n* Mentor your peers and be a technical role-model in the team.\n\n\n\nOnboarding\n\nIn your first 30 days…\n\n\n* You will be immersed in an onboarding program that introduces you to Phaidra and our product.\n\n* You will spend time in the Engineering org, learning how the teams operate, interact, and approach problems.\n\n* You will read various parts of our handbook and familiarize yourself with the documentation culture at Phaidra.\n\n* You will set up your development environment and start working on an onboarding exercise that will introduce you to various parts of our code base.\n\n* You will learn about how we use agile and be able to navigate our sprint boards and backlogs.\n\n* You will learn about various team standards and development & release processes.\n\n* You will start to learn about our system architecture and infrastructure.\n\n* You will start picking up few good “first-tasks” to get yourself accustomed to the end to end release flow.\n\n\n\n\nIn your first 60 days…\n\n\n* You will get a solid understanding of what Phaidra does and how we do it.\n\n* You will meet with team members across Phaidra and started building relationships that will help you be successful at your job.\n\n* You will complete the onboarding exercise and will be on your way to completing your first production task.\n\n* You will take ownership for the MLOps work on the team, identify gaps and propose roadmap items on the topic.\n\n\n\n\nIn your first 90 days…\n\n\n* You will be fully integrated in the team and with team members across the company.\n\n* You will have a more in-depth understanding of our system architecture and infrastructure.\n\n* You will complete your first on-call experience helping monitor and improve our production environments.\n\n* You will become an expert with our tooling.\n\n* You will start to contribute to knowledge sharing throughout Phaidra and the team.\n\n* You will take proactively drive MLOps topics in the team and represent it technically throughout the company.\n\n\n\nKey Qualifications\n\n\n* 7+ years of work experience.\n\n* Bachelors or Masters in Computer Science, or equivalent experience.\n\n* Strong experience on designing and implementing MLOps solutions for AI production systems\n\n* Expertise with production Software Engineering - relational and non-relational data modelling, micro-services, understanding of event driven systems, etc.\n\n* Strong experience building large scale multi-tenant systems with high availability, fault tolerance, performance tuning, monitoring, and statistics/metrics collection.\n\n* Strong expertise in Python and Cloud environments\n\n* Good grasp of Machine Learning (especially Deep Learning) fundamentals.\n\n* Ability to collaborate and communicate effectively in an all-remote setting\n\n* Doing your work with curiosity, ownership, transparency & directness, outcome orientation, and customer empathy.\n\n\n\nBonus\n\n\n* Experience as a service owner of a realtime production system - operating & monitoring services in production, including using observability tooling such as Prometheus, Grafana, Tempo or equivalent offerings and incident management.\n\n* Experience with building applications that can be deployed in cloud, hybrid or on prem environments\n\n* Exposure to Reinforcement Learning\n\n\n\nOur Stack\n\n\n* Languages - (Backend) Python, Go; (Frontend) JavaScript/TypeScript, React; Customer SDK & Clients - C# .NET\n\n* PyTorch\n\n* Cypress\n\n* Docker, Kubernetes, Terraform & Kapitan\n\n* Gitlab CI, ArgoCD, Atlantis, Vercel\n\n* GCP - GKE, PubSub, CloudSQL, BigTable, Postgres, etc.\n\n* Ray.io\n\n* REST & gRPC micro-services\n\n* Poetry, Pantsbuild\n\n\n\nGeneral Interview Process\n\nAll of our interviews are held via Google Meet, and an active camera connection is required.\n\n* Initial screening interview with a People Operations team member (30 minutes): The purpose of this interview is to meet you, learn more about your background, and discuss what you are looking for in a new position.\n\n* Hiring manager interview (30 minutes): The purpose of this meeting is for you to get to know the manager for the role. This chat will mainly focus on your previous experience and technical background. You can expect to talk about projects that you have worked on in the past and ask any questions about the team & role.\n\n* Technical Interview 1 (60 minutes): The purpose of this interview is to assess your skills in Machine Learning and related mathematics.\n\n* Technical Interview 2 (90 minutes): In this interview, we will go over a real world MLOps problem. You can expect to draw architecture diagrams using boxes & arrows in your browser. We will talk about system design, scalability and monitoring.\n\n* Meeting with VP of Engineering (30 minutes): This interview is a combination of technical and cultural fit assessment. You will cover the technical experience and the skills that you brinand have an opportunity to ask any questions about the team’s culture or vision.\n\n* Culture fit interview with Phaidra’s co-founders (30 minutes): This interview focuses on alignment with Phaidra’s values\n\n\nBase Salary\n\nUS Residents: $115,200-$208,800/year\n\nUK Residents: £96,400-£144,000/year\n\nThis position will also include equity.\n\nThese are best faith estimates of the base salary range for this position. Multiple factors such as experience, education, level, and location are taken into account when determining compensation. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, DevOps, Cloud, API, Senior, Engineer and Backend jobs that are similar:\n\n $65,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nSeattle, Washington, United States

\nABOUT EIGENLABS\n\nEigenLabs provides cryptoeconomic security as a service for blockchain projects. Our platform provides programmatic access to the trust layer of Ethereum to make components reusable, allowing builders to rely on Ethereum for security while saving time and resources typically allocated to bootstrapping their own token. EigenLabs technologies also create technical value & efficiency for validators in Ethereum’s proof-of-stake network by enabling them to "re-stake" their assets. Re-staking allows validators to secure multiple protocols and boost rewards by providing security services to oracle networks, data availability networks and dApps running on rollups or side-chains. We’re on a mission to hyperscale ETH & dApps and increase decentralization through re-staking!\n\nTHE ROLE\n\nAt EigenLabs, our engineering teams operate within a customer-aligned team structure, where we believe in shared responsibility for DevOps among all software engineers. As an Infrastructure Software Engineer, you will lead the design and implementation of critical infrastructure components while fostering a culture of collaboration and best practices adoption within your team, and across the company. \n\nYou will work closely with frontend and backend software engineers, leveraging your expertise to empower the entire team to collectively maintain, operate, and enhance infrastructure resources effectively. By championing leading practices, automation, and efficient workflows, you will ensure that our customer-aligned teams can deliver high-quality software solutions with speed, security, and reliability.\n\nYour leadership in infrastructure design, implementation, and reliability engineering will directly contribute to EigenLabs' commitment to blockchain innovation and advancing economic freedom through technology. If you’re passionate about shaping the future of blockchain, and making a meaningful impact on the world, we look forward to hearing from you!\n\nWHAT YOU WILL DO\n\n\n* You will lead the design and implementation of foundational infrastructure components used by every engineering team in production. This includes dynamic configuration, DNS and networking setup, secrets management, container orchestration (e.g., Kubernetes, including platforms such as EKS).\n\n* Demonstrate leadership by taking the initiative to address challenges and drive continuous improvement. Foster a culture of best practices adoption and automation within your team. Share your expertise to empower frontend and backend engineers to efficiently maintain, operate, and enhance infrastructure resources.\n\n* Utilize your proficiency in cloud infrastructure platforms such as AWS, GCP, or similar to optimize our infrastructure for scalability and performance.\n\n* Collaborate with cross-functional teams to identify and implement improvements in infrastructure, monitoring, and incident response.\n\n* Make significant contributions to operational excellence initiatives, ensuring the highest level of efficiency and reliability in our infrastructure. Administer network capabilities and support CI/CD pipelines. Monitor infrastructure using tools like Prometheus, Grafana, or similar. \n\n* Implement and maintain security best practices across all aspects of our infrastructure, including access controls, encryption, and network security\n\n* Participate in on-call rotations to ensure the continued reliability and uptime of our services\n\n* Design, implement and champion Continuous Delivery (CI/CD) principles to automate software development and deployment processes.\n\n* Articulate a long-term vision for maintaining and scaling our infrastructure, aligning it with our product and technical goals.\n\n* Build tools for blockchain node operators that make it easy to launch and operate different types of validator environments\n\n* Proactively contribute to discussions about technical issues, sprint and roadmap planning, and improving engineering processes\n\n\n\n\nWHAT YOU WILL BRING\n\n\n* 5+ years of direct experience in infrastructure, SRE or back-end engineering with public cloud and Linux-based systems.\n\n* Strong design and implementation experience with at least one major cloud platform (AWS preferred)\n\n* Knowledge of authentication, authorisation and accounting (IAM, Federation, RBAC, service accounts) for public cloud and kubernetes\n\n* Containerization and container orchestration with Docker and Kubernetes. Experience with container hardening and implementation within Kubernetes.\n\n* Proficiency in at least one back-end development language such as Python, Go, or C++\n\n* Expertise in Infrastructure as Code (IaC) tools such as Terraform (preferred), Ansible, etc., enabling efficient automation and configuration management.\n\n* Demonstrated experience in production environments with proactive monitoring, logging, alerting,  and profiling with tools such as Prometheus, Grafana, ELK Stack (or alternative log analysis platforms) to ensure robust performance monitoring and troubleshooting capabilities.\n\n* Experience developing and maintaining CI systems (e.g., GitHub Actions, Jenkins, or CircleCI) to facilitate automation of the SDLC. Working knowledge of CD tooling (e.g., AWS Code Pipelines, ArgoCD, Flux), and an understanding of how GitOps deployment models operate\n\n* 3+ years experience with one or more programming languages, preferably Go or Python.\n\n* Knowledge of security best practices, encompassing encryption methods, key management, access control mechanisms, and network security protocols that contribute to the overall security posture of our infrastructure. \n\n* Strong understanding of core Internet protocols: DNS, TCP/SSL, HTTP, gRPC, etc.\n\n* Proven ability to take ownership of projects and work independently. Proficiency in effectively communicating project statuses and diligently documenting activities. Expertise in maintaining meticulous attention to detail across diverse, blockchain-centric environments.\n\n* Track record of successfully delivering complex and high-scale infrastructure\n\n\n\n\nNICE TO HAVES\n\n\n* Contribution to open source projects and/or developing open source tools is advantage\n\n* Data visualization, and observability tooling experience\n\n* Expertise in scaling and migrating systems in dynamic environments, with a strong understanding of incident management processes.\n\n* Experience in information security, including vulnerability assessments, penetration testing, and implementing and automating security controls, with expertise in security protocols (TLS, SSL, SSH) and frameworks (NIST, CIS, ISO 27001). Experience responding to security audits. \n\n* Service discovery and service mesh technologies such as Istio, Linkerd.\n\n* Good understanding of blockchain fundamentals, including wallets, smart contracts, protocol design\n\n* Experience with Liquid Staking or Ethereum Node Operations platforms\n\n\n\n\n \n\nIn compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. $225,000 - $250,000 is the annual base salary. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, EigenLabs provides various employee benefits, including: \n\n\n* Employer-covered Medical, Dental, and Vision plans\n\n* 401k \n\n* Unlimited Paid Time Off\n\n* 12 weeks of fully paid maternity and paternity leave \n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Ethereum, Docker, Accounting, DevOps, Cloud, Node, Senior, Engineer and Backend jobs that are similar:\n\n $57,500 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nSeattle, Washington, United States