Title: Senior Infrastructure Software Engineer Location: Remote About the Role - Type: Infrastructure/DevOps/SRE, Backend Engineer - Location: Texas (hybrid) - Experience: 4+ years - Team Size: 28 - Hiring: 2+ openings Tech Stack - Terraform - Docker - Python - JavaScript - GCP - Django - REST API - PostgreSQL - CI/CD Compensation - Salary: $200k - $250k - Equity: Competitive - Referral Reward: 17.5% first year Details - Visa: Available - Industry: Healthcare, AI, Software Development, Cybersecurity - Funding: $700M

Title: Infrastructure Engineer Location: Remote Job Description: Revolutionary investigative software, powered by facial recognition. About the Role - Type: Infrastructure/DevOps/SRE - Location: - (remote) - Experience: 4+ years - Team Size: 50 - Hiring: 2 openings Tech Stack - Kubernetes - Terraform - AWS</li> - Azure - GCP - Prometheus - Grafana - Git - CI/CD Compensation - Salary: $150k - $200k - Equity: Participation in the company stock plan at a great strike price. - Referral Reward: 14% first year Details - Visa: Not available (Need to be US citizen) - Industry: Data - Funding: 38.6 M

End User Computing Engineering Analyst Position Overview The Cigna International Health IT team are looking for an experienced and motivated EUC Engineering lead who will be responsible for deploying and managing large-scale end user computing solutions throughout the organization. Your contributions will be pivotal in shaping the technology strategy, sustaining a resilient infrastructure, and ensuring an exceptional digital experience for all end users. This opportunity is ideal for an EUC expert with proven experience managing environments across EMEA and Asia Pacific. Job Summary To be considered for this role, candidates must have at least eight years' experience as part of an EUC Engineering team within an enterprise setting. Demonstrate practical experience with most of the technologies below and a proven history of leading large-scale EUC projects and improvements. Fluency in both spoken and written English is essential, along with strong communication and collaboration skills and exceptional problem-solving abilities. Available for a 6 month contract. Key Responsibilities - Manage and maintain the SCCM/MECM infrastructure, including software deployment, OS imaging, patch management, and compliance reporting. - Manage, maintain and optimize Citrix Cloud and Virtual Desktop Infrastructure (VDI) environments to ensure high availability and performance. - Manage and maintain Group Policy Objects (GPOs) for enforcing security configurations, user environment settings, and compliance standards. - Collaborate with security, networking, and infrastructure teams to deliver comprehensive solutions in line with enterprise standards. - Lead troubleshooting efforts for complex end user computing issues and serve as an escalation point for the wider team. - Contribute to roadmap planning, technology evaluations, and continuous improvement initiatives. - Produce and maintain technical documentation, runbooks, and standard operating procedures. - Proactively monitor and resolve infrastructure service issues before escalation occurs. - Ensure Service Now incident, request, problem, and change records are proactively updated. - Participate in change activities that may be scheduled outside normal working hours. - Drive project deliverables and initiatives to completion, collaborating with key stakeholders and project managers to implement solutions. - Adhere to Information Protection Policies and Business Continuity Plans. Skills and Experience - 5 to 6 years of demonstrable experience leading technical EUC infrastructure projects. - Deep expertise in Microsoft SCCM / MECM / Intune, including configuration, administration, software deployment, OS deployment (OSD/MDT), and patch management. - Proven experience implementing, designing, and supporting Virtual Desktop Infrastructure (VDI) at enterprise scale. - Strong troubleshooting skills in Microsoft Windows, O365, GPO, and FSLogix. - Experience with Service Now change and incident management workflows. - Service and customer-centric mindset. - Excellent problem-solving and critical thinking abilities. Additional desirable experience includes: - DevOps – Image Management and support of Azure Virtual Desktop. - Automation using PowerShell. - Knowledge of Nutanix HCI. - Agile Project Management methodology. - Thin Client Technology. - ITIL certifications. Why Join Cigna? Cigna offers the opportunity to work with a global, innovative, and flexible technology division that is expanding rapidly due to ongoing success and substantial transformation. The company invests in its employees, providing opportunities to advance your knowledge and skills through both internal and external training, as well as secondments to other teams or projects. Flexible working arrangements are available, including remote or home working and flexible shift times, to promote a true work-life balance for all employees. About The Cigna Group Cigna Healthcare, a division of The Cigna Group, advocates for better health throughout every stage of life. The organization guides customers through the healthcare system, empowering them with information and insights necessary to make informed decisions to improve their health and vitality. Join Cigna in driving growth and making a positive impact on lives About Cigna Healthcare Cigna Healthcare, a division of The Cigna Group, is an advocate for better health through every stage of life. We guide our customers through the health care system, empowering them with the information and insight they need to make the best choices for improving their health and vitality. Join us in driving growth and improving lives. Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws. If you require reasonable accommodation in completing the online application process, please email: SeeYourselfEMEA@cigna.com for support. Do not email SeeYourselfEMEA@cigna.com for an update on your application or to provide your resume as you will not receive a response.

Utilidata is a fast-growing NVIDIA-backed edge AI company enabling greater visibility and control of power utilization in energy-intensive infrastructure, like the electric grid and data centers. Karman, the company’s distributed AI platform powered by a custom NVIDIA module, is transforming the way utility companies operate the grid edge and will enable data centers to unlock more compute for the same provisioned power. The AI Infrastructure Engineer is responsible for designing, building, and owning the end-to-end infrastructure that serves Utilidata's AI and ML models across edge deployments, cloud environments, and data center integrations. They are also responsible for designing, building, and owning the integration of power data with AI inference software. This is Utilidata's first dedicated role of this kind, and will serve as the foundational function for how the company deploys and operates AI capabilities in production. The role requires deep technical expertise in ML model serving, distributed systems, and GPU infrastructure, with a strong emphasis on reliability, performance, and scalability. This position works cross-functionally with product, engineering, and data science teams and is open to fully remote candidates, with periodic travel expected for company retreats and key on-site engagements. Responsibilities - Lead the design and build of Utilidata's AI inference platform — establishing architecture patterns, deployment standards, and operational practices that will scale with the company - Own end-to-end model serving infrastructure for Utilidata's AI infrastructure (on-prem and datacenter) - Build and maintain fault-tolerant, high-performance systems for serving AI models at scale, with a focus on low latency, reliability, and cost efficiency - Collaborate closely with algorithms engineers to integrate AI inference data and configuration with power optimization algorithms - Optimize GPU utilization and inference performance across our hardware fleet, including NVIDIA accelerators central to Utilidata's edge AI platform - Establish MLOps best practices including CI/CD pipelines for model deployment, monitoring, and rollback across environments - Contribute to infrastructure roadmap decisions, including build vs. buy tradeoffs, tooling selection, and platform evolution as the team grows Minimum Qualifications - 5+ years of software engineering experience with a strong focus on AI infrastructure, backend systems, or distributed systems - Hands-on experience with AI model serving frameworks (e.g., vLLM, SGLang, Triton, TensorRT, TorchServe, or similar) - Understanding of container orchestration and cluster management (Kubernetes, Docker) - Experience deploying and operating infrastructure across both datacenter and on-prem environments - Strong knowledge of GPU workloads and the tradeoffs that come with them — you understand how inference differs from training, and why it matters - Proficiency in Python; C++, CUDA, Go, Rust a plus - Excellent communication skills and comfort working cross-functionally in a lean, fast-moving environment - Willingness to travel up to 10% of time Enhanced Qualifications (Nice to Have) - Dynamo experience a plus - Experience with edge AI deployments or constrained compute environments - Familiarity with infrastructure as code (Terraform, Helm) - Experience with observability platforms (Datadog, Prometheus, Grafana) - Background in energy, utilities, or industrial IoT - Contributions to open-source ML infrastructure projects Salary Range: $170,000 to $210,000 base compensation depending on experience plus stock options. Salary will be commensurate with an individual's skills, training, years of experience, and in line with internal compensation bands. Location: This position can be performed remotely from anywhere in the United States. Our Commitments: Utilidata values the diversity of our team. We provide equal employment opportunities without regard to race, color, religion, creed, sex, gender, sexual orientation, gender identity or expression, national origin, age, physical disability, mental disability, medical condition, pregnancy or childbirth, sexual orientation, genetics, genetic information, marital status, or status as a covered veteran or any other basis protected by applicable federal, state and local laws. We are committed to: - Creating a diverse and inclusive workplace that is welcoming, supportive, affirming and respectful - Empowering employees to solve problems and work together to make a difference - Providing mentorship and growth opportunities as part of a collaborative team - A flexible work environment with flexible paid time off - Competitive compensation and benefits, including health, dental, vision, and employer-match 401k