Similar Jobs
.png){kind=logo}
Artificial Intelligence • Fintech • Software • Financial Services
Build and operate scalable, reliable infrastructure using Terraform, Kubernetes, AWS, and CI/CD automation. Responsibilities include managing EKS platforms, improving deployment pipelines, securing networking and IAM, enhancing observability, optimizing cloud costs, implementing disaster recovery, reducing operational toil, and modernizing legacy infrastructure. The role also leads incident response, reliability initiatives, platform adoption, and cross-team infrastructure projects.
Top Skills:
ArgocdAWSBashDatadogEksGithub ActionsIamJavaScriptKafkaKubernetesLambdaMskPostgresPythonRdsRedisS3TerraformTypescriptVpc
Fintech • Mobile • Social Impact • Software • Financial Services
Deploys, monitors, and maintains production infrastructure and services. Responsibilities include developing infrastructure and network best practices, supporting on-call operations, operating SDLC and CI/CD platforms, improving system performance, providing operational support for distributed applications, and analyzing uptime and production performance. The role requires AWS administration, DevOps or SRE experience, version control, scripting, Terraform, containerized AWS services, Linux, networking, and security-sensitive environment experience.
Top Skills:
AWSAws CodepipelineBashCi/CdClaudeDevOpsDnsDockerGitGitlabHttp/HttpsJenkinsKubernetesLinuxMlopsPostgresPythonScpSftpSreSshSysopsTerraform
.png){kind=logo}
Artificial Intelligence • Machine Learning • Software
Own enterprise deployments of Qodo’s Kubernetes-based platform in customer-managed AWS, GCP, and Azure environments. Install, configure, upgrade, troubleshoot, and optimize infrastructure, writing Python or Bash diagnostics and codifying repeatable processes with Terraform and Helm. Partner directly with customer engineering teams, resolve complex networking and access issues, maintain PostgreSQL and Redis infrastructure, and improve deployment reliability through automation and documentation.
Top Skills:
AWSAzureBashDockerGCPHelmIamKubernetesLinuxPostgresPythonRedisTerraform
Lucidworks is leading digital transformation for some of the world's biggest retailers, financial services firms, manufacturers, and B2B commerce organizations. We believe that the core to a great digital experience starts with search and browse. Our Deep Learning technology captures user behavior and utilizes machine learning to connect people with the products, content, and information they need. Brands including American Airlines, Lenovo, Red Hat, and Cisco Systems rely on Lucidworks' suite of products to power commerce, customer service, and workplace applications that delight customers and empower employees. Lucidworks believes in the power of diversity and inclusion to help us do our best work. We are an Equal Opportunity employer and welcome talent across a full range of backgrounds, orientation, origin, and identity in an inclusive and non-discriminatory way.
Please note: To ensure a fair and efficient process for all applicants, we kindly ask that you refrain from direct outreach to our hiring managers or team members. All communication should go through the official application portal. We will review your application carefully and reach out to you if your qualifications match our needs. We appreciate your interest in Lucidworks!
About the Team
Our Cloud Platform team manages Fusion clusters for Lucidworks’ public cloud customers. As part of the Cloud Platform team, you will be key in our customers’ success in providing value to their customers through the power of search. We are looking for someone who can help move our cloud platform forward and make it easier to handle more and more customers through the power of automation.
About the Role
The Cloud Operations Team is responsible for providing a robust platform for our Managed Fusion customers. As an Operations Engineer, you will develop and employ DevOps best practices and tools to create, deploy, monitor, and maintain production infrastructures for customers. We operate at large scale using cutting-edge cloud computing technologies, and on mission-critical projects that can make or break customers’ success. If you thrive in high-impact situations and enjoy solving complex operational challenges without sacrificing uptime, we want to hear from you.
Job Responsibilities
- Build the automation tools that ensure our internal and external customers receive resources quickly and painlessly while making our team’s lives easier
- Work closely with engineering teams to deliver a high quality product to our customers that meets all of their needs
- Aim for at least 99.9% uptime across all of our managed customers
- Work on several major projects including automating parts of our infrastructure, creating new monitors and alerts, creating new tooling for both team consumption and company consumption, etc.
- Take ownership of Lucidworks’ company-wide cloud-first initiative by making the onboarding process for new customers as smooth as possible for them.
Our Stack
- Kubernetes
- GCP, Azure, AWS
- Java
- Python
- Terraform
- Jenkins
- Go
- ArgoCD
Skills & Qualifications
- 8+ years professional DevOps experience at a PaaS or SaaS company.
- Knowledge of containerization and container orchestration (1+ years of Kubernetes experience required).
- Experience operating JVM-based applications at scale (garbage collection analysis, heap tuning, etc)
- Experience with large-scale distributed systems management; maintain hundreds to thousands of instances across multiple cloud environments.
- Serve as the first line of defense for our customers as part of on-call rotation.
- Familiarity with developing SaaS infrastructure, and the SaaS deployment model.
- Willingness to participate in on-call rotation, serving as the first line of defense for our customers.
- Acceptable background check
Lucidworks believes in the power of diversity and inclusion to help us do our best work. We are an Equal Opportunity employer and welcome talent across a full range of backgrounds, orientation, origin, and identity in an inclusive and non-discriminatory way. Applicants receive consideration based on the relevant talents, skills, and experiences they offer to our company.
Thank you for your interest and we look forward to learning more about you.
Note to third party recruiters:
We appreciate your interest in our job opportunities. However, we kindly request that third-party recruiters and staffing agencies refrain from contacting us regarding these positions. We prefer to work directly with candidates and do not accept unsolicited resumes or candidate referrals from third-party recruiters or agencies. Unsolicited resumes and referrals will become the property of Lucidworks, and no fee will be paid should we hire a candidate whose resume was sent unsolicited.
Lucidworks San Francisco, California, USA Office
235 Montgomery St, Suite 500, San Francisco, CA, United States, 94104
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
