The Senior Software Engineer will develop orchestration and autoscaling for the Lucenia search platform, working with cloud technologies and Kubernetes to manage services and mentor team members.
The Control Plane Team is responsible for developing the orchestration and horizontal autoscaling of the Lucenia core search platform. This system layer is designed and developed to run in cloud-native, self-hosted, or a hybrid of both environments.
In this role, you will be working on the team responsible for developing the Kubernetes based orchestration and auto scaling framework of the Lucene Search data plane and packaging it as a product that runs self hosted, cloud-native, or in hybrid modes. You will ensure compatibility and integration with other vendor offerings such as AWS, Azure, GCP, and/or RedHat OpenShift. You will also be responsible for building the services that power and provide Lucenia’s own SaaS platform. You will work across other functions, including engineering, quality control, performance benchmarking, support, content marketing, and executive leadership to build and market new features, capabilities, and offerings.
What you will do- Work with a distributed team of experienced engineers focused on delivering self-hosted, cloud-native, and/or SaaS serverless offerings
- Develop container-based workflows with efficient autoscale in connected and disconnected environments.
- Design and develop a collection of processes that coordinate and manage the cluster’s state and scheduling decisions across the data plane.
- Implement Kubernetes operators/controllers and helm charts with deployment responsibilities in production environments
- Collaborate across engineering, quality control, and leadership teams to execute on product deliverables.
- Invent ideas, collaborate with others, and own solutions from inception to deployment
- Mentor new team members
- Knowledge of the Go programming language
- Deep understanding of distributed systems and cloud native technologies such as kubernetes, docker, and OCI container registries and systems level integration for serverless autoscaling
- Experience working with cloud vendors such as AWS, Microsoft Azure, Google Cloud Platform, Red Hat OpenShift and/or Oracle Cloud
- Familiar with vendor and open source object storage technologies and their role in stateful and stateless system orchestration
- Strong understanding of cost benefit trade offs during design and implementation phases.
- Familiar with SAML, LDAP, Active Directory, Single Sign On identity management technologies (e.g., Okta Auth0) and integration with cloud native deployments.
- Strong analytical, debugging, and troubleshooting skills
- Ability to communicate well with individuals and groups to accomplish a common set of goals
- Experience working with OpenSearch and/or Elastic Stack
- Strong scripting skills (e.g., groovy, gradle, python, javascript)
Similar Jobs
AdTech • Big Data • Digital Media • Marketing Tech
Lead the architecture and development of large-scale machine learning systems, distributed training infrastructure, ranking systems, and production ML services. Drive complex initiatives from concept through deployment, establish engineering standards, partner with product and engineering leadership, and mentor data scientists and engineers. Build reliable, low-latency, high-availability AI platforms using advanced ML frameworks, accelerators, and big data technologies.
Top Skills:
SparkC++Ci/CdCudaDatabricksGoJavaJaxKafkaKubernetesNcclPrometheusPythonPyTorchRdmaTensorFlow
Big Data • Fintech • Information Technology • Insurance • Software
Own relationships, health, retention, and growth for enterprise carrier customers. Responsibilities include executive business reviews, performance reporting, escalation management, roadmap alignment, expansion opportunities, compliance documentation, audit responses, and cross-functional coordination with Product, Engineering, Implementation, Compliance, and Sales. The role also mentors Customer Success Associates and requires travel for solution workshops, leadership events, and customer reviews.
Top Skills:
JIRASaaSSalesforce
eCommerce • Healthtech • Kids + Family • Retail • Social Media
Own replenishment, order writing, inventory forecasting, and open-to-buy inputs for Furniture and Monitors. Manage dropship vendors, track availability and delivery timing, identify out-of-stocks and discontinued items, and communicate risks. Prepare weekly sales and inventory recaps, build pre-season forecasts, and partner with Merchandising, Supply Chain, and Finance on assortment and product changes.
Top Skills:
ChatgptClaudeExcelNetSuiteSigma
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
