Senior Software Development Engineer (SDE III) - Backend Java and AWS

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JD Hybrid Compute Lead Job description Hybrid Compute Lead is a senior IT professional who manages, maintains, secures, and optimizes hybrid IT environments combining Windows servers, VMware virtualization, Linux systems, storage and cloud platforms like AWS and Azure. This lead role often involves technical leadership, mentoring, and strategic contributions to infrastructure design and automation. Hybrid Compute Lead's responsibilities include: 1. Oversee the design, deployment, configuration, and maintenance of server infrastructure (Windows Server and Linux, such as Red Hat Enterprise Linux, Ubuntu, CentOS), virtualization (VMware vSphere/ESXi, vCenter), cloud platforms (AWS, Azure), and storage solutions (SAN/NAS). 2. Provide expert-level administration, configuration, troubleshooting, and support for all infrastructure components, including hardware and software upgrades, patching, and security compliance. 3. Manage the virtualization infrastructure, including platform services, associated ecosystem components, and virtual machine management. 4. Administer and troubleshoot VMware environments (ESXi, vSphere, vCenter, vMotion, DRS, HA), ensuring optimal performance and resource utilization. 5. Deploy, configure, and manage workloads in cloud platforms like AWS or Azure, including cloud networking, storage, backup, and security controls. 6. Support hybrid cloud strategies, cloud adoption/migration efforts, and platform modernization initiatives. 7. Configure and maintain SAN (Fiber Channel, iSCSI), NAS, and software-defined storage (SDS) solutions (Dell Technologies, NetApp, Pure Storage, VMware vSAN). 8. Manage and optimize enterprise backup and disaster recovery systems. 9. Understand and troubleshoot TCP/IP, VLANs, DNS, DHCP, firewalls, routing, and cloud networking constructs (VPCs, subnets, gateways). 10. Implement and maintain security measures to protect systems and data, including network security, system hardening, identity and access management, and vulnerability assessments. 11. Identify repetitive tasks and develop automation solutions using scripting languages like PowerShell, Python, or Bash, and configuration management tools like Ansible or Terraform. 12. Implement Infrastructure as Code (IaC) to manage and provision cloud and virtual environments. 13. Implement robust monitoring and alerting strategies to ensure system availability, redundancy, and performance. 14. Troubleshoot complex issues, perform root cause analysis, and proactively identify and resolve performance bottlenecks. 15. Collaborate with IT operations, DevOps, application, security, and business teams to gather requirements and deliver solutions. 16. Translate business needs into technical requirements and provide clear documentation and implementation guidance. 17. Lead and mentor junior technical team members, sharing best practices and architectural patterns. 18. Develop and maintain comprehensive documentation for infrastructure designs, implementation processes, operational procedures, and knowledge base articles. Qualifications and skills • Education: Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent practical experience). • Experience: o Significant experience (often 10+ years or more) in enterprise IT infrastructure roles. o Proven experience designing, deploying, and managing infrastructure in both on-premises and public cloud environments. o Experience leading or participating in infrastructure projects (migrations, upgrades, new deployments). • Technical Skills: o Deep expertise in Windows Server and Linux (RHEL, Ubuntu, CentOS) operating systems. o Strong understanding of directory services (Active Directory, Red Hat Enterprise Linux environments environments). o Expertise in VMware vSphere/ESXi, vCenter, vMotion, DRS, HA, and other virtualization technologies. o Hands-on experience with public cloud platforms like AWS or Azure. o Strong knowledge of SAN/NAS platforms (Dell EMC, HPE, NetApp, Pure Storage). o Proficiency in scripting and automation tools (PowerShell, Python, Bash, Ansible, Terraform). o Familiarity with monitoring and alerting tools (e.g., SolarWinds, Zabbix). • Soft Skills: o Strong problem-solving, analytical, and troubleshooting skills. o Excellent communication and collaboration skills (verbal and written). o Ability to work independently and manage multiple tasks efficiently. o Leadership, mentoring, and team-building skills. o Passion for continuous learning and staying updated with emerging technologies

Early stage start startup in need of strong backend engineer. Qualifications - At least 10 years development experience - At least one year experience using Golang - Some knowledge and exposure to Postgresql - GCP experience desirable (or at least AWS and willingness to learn GCP fundamentals) - Ability to write code and understand documentation without needing to use AI tools - US Citizen or GC holder - CS (or Math/Physics) degree from strong program (e.g. a UC school) preferred - Solid communication skills and easy to work with This is currently unpaid as we are seeking funding, but there would be membership incentive.

SciTec has been awarded multiple government contracts and is growing our creative Team! SciTec, Inc. is a dynamic small business with the mission to deliver advanced sensor data processing technologies and scientific instrumentation capabilities in support of National Security and Defense. We support customers throughout the Department of Defense and U.S. Government in building innovative new tools to deliver unique world-class data exploitation capabilities. Important Notice: SciTec exclusively works on U.S. government contracts that require U.S. citizenship for all employees. SciTec cannot sponsor or assume sponsorship of employee work visas of any type. Further, U.S. citizenship is a requirement to obtain and keep a security clearance. Applicants that do not meet these requirements will not be considered. SciTec has an immediate opportunity for a talented RedHat Openshift Engineer to join our team in Boulder, CO. Successful applicants will bring deep experience with designing, deploying, and managing RedHat Openshift deployments in on-prem, hybrid, and cloud environments, a strong collaborative spirit, experience successfully mentoring junior team members, superior problem solving skills, and a clear focus on supporting customer needs. Responsibilities Design and implement RedHat Openshift deployments to meet customer requirements Automate deployments form the infrastructure level to the platform level Configure and install software, servers, routers and other network devices Resolve issues tiers of support have escalated by troubleshooting deployed, cloud, and local deployments Mentor team members on technical issues Communicate with users to design and field optimal solutions Maintain complete technical documentation Other duties as assigned Requirements At least two years of professional experience building and maintaining Kubernetes environments with Redhat Openshift Container Platform version 4+ At least three years of professional experience using Linux operating systems Strong understanding of Ansible playbooks Strong understanding of Infrastructure as Code (IaC) solutions The ability to obtain and maintain a DoD security clearance Ability to obtain and maintain a DoD security clearance Detail oriented Good verbal and written communication skills Candidates meeting the following criteria will be preferred: Strong development experience using Docker, docker-compose, and/or Kubernetes Experience deploying and maintaining CI/CD solutions for DevSecOps such as gitlab-ci and Jenkins Experience developing ansible playbooks for process automation Experience hardening Redhat Enterprise Linux Systems using DISA SCAP and STIGViewer A Bachelor's degree in computer science, engineering, information technology or related field or equivalent experience Experience with VMWare compute, storage, and network configurations Dell server, switch and SAN configuration and maintenance experience Ability to script with bash, python, or perl An active DoD security clearance *Resumes, Cover Letters, and Applications which are generated by AI will not be considered for employment. Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Benefits SciTec offers a highly competitive salary and benefits package, including: Employee Stock Ownership Plan (ESOP) 3% Fully Vested Company 401K Contribution (no employee contribution required) 100% company paid HSA Medical insurance, with a choice of 2 buy-up options 80% company paid Dental insurance 100% company paid Vision insurance 100% company paid Life insurance 100% company paid Long-term Disability insurance Short-term Disability insurance Annual Profit-Sharing Plan Discretionary Performance Bonus Paid Parental Leave Generous Paid Time Off, including Holiday, Vacation, and Sick Pay Flexible Work Hours The pay range for this position is $93,000- $143,000 / year. SciTec considers several factors when extending an offer of employment, including but not limited to the role and associated responsibilities, a candidate's work experience, education/training, and key skills. This is not a guarantee of compensation. #nd123 SciTec is proud to be an Equal Opportunity employer. VET/Disabled.

We’re AI4IP, a small but mighty 5-person crew building cutting-edge generative AI software for AI power users, sports teams, and brands. We also create custom AI-powered experiences for sports, music, and retail. We move fast ⚡, have a million ideas 💭, and need someone to keep us focused, organized, and shipping 🚢 amazing products every single week. This is NOT a slow-moving corporate PM gig — you’ll be in the trenches every day with a high-caliber team, turning ideas into reality at startup speed. You’ll: 📅 Own our roadmap & backlog — keep the vision clear and the weeks on track 🏃‍♂️ Run sprints & daily plans in Linear 🚦 Keep internal + select external projects moving fast and smooth 📊 Track data, measure results, and call the next shot 🤝 Work directly with founders & a tight crew of creative builders You 💻 Have real software product management experience (startups a plus) 🤖 Love AI — extra credit if you’ve played with image/video generation 🛠 Can live in both strategy and daily task-chasing 🇺🇸 US-based (Los Angeles preferred, but not required) Full-time | Salary + Equity 💰📈 — Compensation depends on your experience & equity mix. If you’re ready to help shape next-gen AI products, keep the trains 🚂 running at startup speed, and have fun building wild, creative stuff… 📨 Email us with your resume, a short note about your experience, and why you’re excited about AI. See more information at https://ai4ip.ai/jobs.html

About LGND LGND is an early-stage startup revolutionizing geospatial AI infrastructure. We bridge the gap between large Earth observation models and specific application developers, enabling intuitive interaction with geospatial data. Our core mission is to empower decision-makers with rapid insights from vast, complex datasets. As part of our small, dynamic team, you will play a foundational role in building tools that have never existed before. Role Summary We’re looking for a creative and energetic Full Stack Software Engineer to join our founding product team. In this role, you’ll take early-stage ideas and rapidly turn them into functional, interactive demos that showcase the potential of our platform. You’ll work primarily in React and Python, interfacing with LGND’s APIs, geospatial services, and large-scale AI frameworks — including emerging protocols like Model Context Protocol (MCP). This is a fast-moving, experimental role designed to help us quickly validate features and use cases. You’ll work closely with product and research leads, build lightweight interfaces to our backend infrastructure, and prototype interactions that bring geospatial data and AI results to life — especially through mapping and spatial UI. This role is ideal for someone who thrives in ambiguity, ships quickly, and has a strong eye for product potential. It's a unique opportunity to help define and shape the frontend of an AI-native geospatial platform before we scale a broader engineering and design team. This is a hybrid role, with a preference for candidates based in New York, San Francisco Bay Area, or Copenhagen. Remote work is also a possibility. Key Responsibilities Rapid Prototyping: Take ideas from whiteboard to working demo in days — not weeks. Build and iterate on new products and features using lightweight frontends and LGND’s backend APIs. Frontend Development: Build rich, spatially aware interfaces using React, including map-based UIs (e.g., Mapbox), data visualizations, and lightweight dashboards. API Integration: Work almost entirely against APIs, integrating LGND’s services and MCP servers, as well as third-party geospatial services. Backend Collaboration: Write or modify small backend components using Python, especially for internal tooling or lightweight extensions to our existing APIs. Infrastructure-Aware UI: Build frontends that are responsive to real-world compute and data infrastructure constraints — particularly when working with large spatial datasets or ML workflows. UX Experimentation: Help evaluate UX for interacting with embeddings, vector search results, and spatial metadata. Propose new patterns where needed. Cross-functional Collaboration: Work alongside AI engineers, backend developers, product leads, and researchers to translate technical workflows into intuitive interfaces. Speed & Flexibility: Adapt quickly in a fast-moving startup environment where priorities evolve and experimentation is encouraged. Scope of Work: First 3 Months Build an interactive map-based UI to demo a new geospatial search capability powered by LGND’s vector search API. Prototype an exploration interface that allows users to define an area of interest, select a model, and query MCP-based search results. Help build the internal playground for evaluating embeddings and vector comparisons across different model outputs. Integrate Mapbox maps and other geospatial layers into demo frontends for live user testing. Collaborate with backend and research teams to refine UI/API contracts and suggest frontend-side enhancements. Requirements Required Technical Skills Frontend Expertise: Deep experience with React, including component architecture, state management, and styling frameworks. Mapping Libraries: Familiarity with Mapbox, Leaflet, or other map tile or rendering libraries. Backend Fluency: Working knowledge of Python, especially for integrating with APIs or writing lightweight backend logic. API Integration: Comfortable working with RESTful APIs, JSON payloads, and asynchronous calls. Database Experience: Some experience with relational databases like PostgreSQL or MySQL. Rapid Iteration: Ability to quickly prototype, test, and revise interfaces with minimal supervision. Git & CI/CD: Comfort with version control workflows and basic CI/CD tooling (e.g., GitHub Actions). AI/ML Curiosity: Interest in AI/ML systems, particularly geospatial foundation models and vector embeddings (no prior experience required). Note: Even if you don't fulfill all the criteria, you are encouraged to apply. We welcome applicants from diverse backgrounds and nontraditional paths. Preferred Experience Prior experience in early-stage startups or prototyping environments. Exposure to geospatial data and formats (GeoJSON, tilesets, raster data). Familiarity with Model Context Protocol or retrieval-augmented generation workflows. Experience with visualizing model outputs, embeddings, or ML metrics in frontend apps. Comfort designing UIs for non-technical users or analysts. Non-technical Skills Self-Starter: Comfortable taking initiative, scoping work independently, and managing ambiguity. Creative & Curious: Enjoys experimenting with new interfaces and technologies. Product-Oriented: Focused on end-user experience and delivering usable value quickly. Collaborative: Works well across technical and non-technical stakeholders. Flexible & Adaptable: Thrives in environments with competing priorities and shifting context. Benefits Benefits & Cultural Values At LGND, we prize: Humility: Value collaboration and learning from others. Integrity: Uphold honesty and transparency. Effectiveness: Focus on what works and deliver results. Benefits Competitive salary based on experience and location Equity options in a high-growth early-stage startup Health care and 401k Flexible work arrangements (hybrid/remote) Opportunity to shape LGND’s technology and company culture Work on cutting-edge problems in geospatial AI with real-world impact