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Key Responsibilities & Skills 🔹 Red Hat OpenShift Cluster Administration 🔹 OpenShift Installation & Upgrades 🔹 OpenShift Architecture & Platform Management 🔹 Kubernetes Workload Management 🔹 Pod, Deployment, StatefulSet, and DaemonSet Management 🔹 Namespace, Resource Quotas, and Limit Ranges 🌐 Networking 🔹 OpenShift Networking (Routes, Services, Ingress) 🔹 OpenShift SDN / OVN Networking 📦 Container & CI/CD 🔹 Container Image Management & Registries 🔹 OpenShift CI/CD Pipelines 🔹 GitOps with Argo CD 🔹 Configuration Management with Kustomize 🔹 Helm Chart Deployment ⚙️ Operators & Automation 🔹 OpenShift Operators & Operator Lifecycle Manager (OLM) 🔹 Infrastructure as Code with Terraform 🔹 Automation with Ansible 💾 Storage 🔹 OpenShift Storage Management 🔹 Persistent Volumes (PV) and Persistent Volume Claims (PVC) 🔹 Storage with OpenShift Data Foundation 🔹 Storage with Ceph 📊 Observability 🔹 OpenShift Logging with Elasticsearch / Kibana / Fluentd 🔹 Monitoring with Prometheus and Grafana 🔐 Security & Secrets 🔹 OpenShift Security (RBAC, SCC, Network Policies) 🔹 Secrets Management with HashiCorp Vault 🐳 Containerization & Operations 🔹 Containerization with Docker 🔹 Cluster Monitoring & Troubleshooting 🔹 Disaster Recovery & Backup Strategies 🔹 Multi-Cluster Management 🚀 Practices 🔹 DevOps & Platform Engineering Practices

Job Title: Senior Network Visibility Engineer Position: 1 - backfill for a retired worker Duration: 6 months/ End of May with potential top extend 12-14months Location: Remote US - unless requested onsite (dallas texas - local if possible) Expense: If client requires travel - the client will Reimbisburst rax Opportunity #: Working Hours/Time Zone: CST time zone Job Description: ● Observability net monitoring ● Someone is retiring soon does not want to lose business ● Replace with someone that is in the same functionality ● Team is monitoring info structure and data center ● Mainly focus is physical hard ware ● Same tolling at ● Very specific role ● Thousand eyes Action items for Dan: Pay Rate: pending hm Bill Rate: pending hm PO# Job Description: Senior Network Visibility Engineer LogicMonitor · ThousandEyes · NetBrain | Enterprise Network Observability Position Summary We are seeking a Senior Network Visibility Engineer to join the team responsible for enterprise-wide network monitoring and intelligence tooling — LogicMonitor, ThousandEyes, and NetBrain. This role will be a key technical contributor ensuring that the rich telemetry generated by these platforms flows into the centralized Observability Platform for unified visibility, alerting, and reporting via Grafana. This is a network-first role. The ideal candidate is deeply experienced working within teams that operate and mature enterprise-grade network monitoring platforms — contributing to device onboarding, alert tuning, dashboard development, and integration with downstream systems like ServiceNow and Grafana. You will serve as a strong technical voice on the network visibility team, helping to raise the bar on coverage, accuracy, and operational usefulness of the tooling. Enterprise Observability Platform — Tool Ecosystem This role operates within and contributes to an observability stack that includes: 📡 LogicMonitor Infrastructure & Network Monitoring 🌐 ThousandEyes Network Intelligence & Synthetics 🗺️ NetBrain Network Automation & Topology 🎫 ServiceNow ITSM & Event Management 📊 Grafana Visualization & Dashboards ☁️ CloudWatch AWS Observability 🔥 Prometheus Metrics Collection 📋 Loki Log Aggregation Key Responsibilities LogicMonitor — Configuration & Expansion • Contribute to the enterprise LogicMonitor deployment: collector management, device onboarding, datasource configuration, and platform health as part of the network visibility team, • Develop and maintain LogicMonitor dashboards, alert thresholds, and escalation policies covering network infrastructure including routers, switches, firewalls, load balancers, and wireless Senior Network Visibility Engineer Req# • Build and customize LogicModules (DataSources, EventSources, PropertySources) to extend monitoring coverage for bespoke or non-standard network devices, • Support the onboarding of new network infrastructure into LogicMonitor as the organization grows, working toward comprehensive coverage of critical network assets, • Assist with integrating LogicMonitor alert data into ServiceNow for automated incident creation and into Grafana for unified cross-platform dashboarding ThousandEyes — Network Intelligence & Synthetic Monitoring • Work within the team to support and expand the ThousandEyes deployment including Enterprise Agent rollout, Cloud Agent utilization, and test configuration across the network estate, • Design and maintain synthetic monitoring tests (HTTP, BGP, network path, DNS, voice) covering critical internal services, SaaS applications, and internet egress paths, • Leverage ThousandEyes path visualization and BGP route monitoring to proactively identify network degradation, ISP issues, and cloud provider reachability problems, • Help integrate ThousandEyes alert data and metrics into Grafana dashboards and ServiceNow incidents for centralized correlation with other network events, • Use ThousandEyes data to support root cause analysis, capacity planning, and vendor SLA validation NetBrain — Network Automation & Topology • Contribute to the NetBrain platform including network discovery, topology mapping, and device inventory synchronization with the broader CMDB, • Build and maintain NetBrain Runbooks to automate network diagnostics and troubleshooting workflows, reducing mean time to resolution for network incidents, • Develop Dynamic Maps and network topology views that support NOC operational workflows and Grafana observability dashboards, • Leverage NetBrain's automation capabilities to help execute pre/post-change validations and network state verification, • Support CMDB accuracy efforts by ensuring NetBrain discovery remains synchronized with ServiceNow asset records Observability Platform Integration & Dashboarding • Build and maintain Grafana dashboards that aggregate network visibility data from LogicMonitor, ThousandEyes, NetBrain, and CloudWatch into unified network health views, • Support alert routing from network tools into the centralized alerting framework and ServiceNow event management, • Collaborate with platform teams to ensure network telemetry is correctly labeled, normalized, and queryable within the Observability Platform, • Contribute network-layer context to shared NOC dashboards, enabling Tier-1 teams to triage network events with minimal escalation Collaboration, Standards & Documentation • Contribute to team standards for network device naming, monitoring coverage, alert severity, and escalation paths across all network monitoring tools, • Produce and maintain documentation including runbooks, onboarding guides, and monitoring coverage matrices, • Collaborate with NOC, Network Engineering, Cloud, and SRE teams to continuously improve network visibility and reduce alert noise, • Mentor junior engineers on tool usage, network monitoring best practices, and observability concepts Required Qualifications • 7+ years of experience in network engineering, network operations, or network monitoring/observability roles, • Hands-on experience working with LogicMonitor at enterprise scale, including datasource configuration and custom LogicModule development, • Proven expertise with ThousandEyes — agent deployment, synthetic test design, path analysis, and BGP monitoring, • Experience contributing to NetBrain deployments for network topology mapping, runbook automation, and network diagnostics, • Strong understanding of enterprise network architecture: LAN/WAN, data center fabric, SD-WAN, firewall/load balancer, and cloud networking (AWS, Azure, or GCP), • Familiarity with network protocols relevant to monitoring: SNMP, ICMP, BGP, OSPF, DNS, HTTP/S, and network path tracing, • Experience integrating network monitoring tools with ServiceNow (event management, CMDB, incident automation), • Ability to build and maintain Grafana dashboards sourcing data from multiple network monitoring platforms, • Proficiency in scripting for automation and integrations — Python or similar (Bash, PowerShell acceptable), • Strong communication skills — able to translate network visibility data into clear reporting for engineering and operations stakeholders Preferred Qualifications • Experience with CloudWatch for AWS network service monitoring (VPC Flow Logs, Transit Gateway, Direct Connect), • Cisco/Juniper/Arista network certifications (CCNP, JNCIP, or equivalent) strongly preferred, • Familiarity with Prometheus and Loki as supplementary observability components within a Grafana stack, • Knowledge of ITSM processes and ServiceNow platform administration, • Experience in a large-scale enterprise environment with 5,000+ monitored network devices, • Background in NOC operations or network incident management

Global Network Director Leading Semiconductor Manufacturing org. $275,000 base salary + bonus + equity Dalllas - 5 days per week onsite About the Role A global organization is seeking an experienced and visionary Global Network Director to lead worldwide network operations. This senior leadership role oversees Network Engineering, Data Centers, and Network Security teams across multiple regions. The successful candidate will define and execute the global network strategy, with a strong focus on modern, large-scale data center networking, ensuring a highly available, secure, and scalable infrastructure. Key Responsibilities • Lead and coordinate global Network Engineering, Data Center, and Network Security teams across multiple locations, • Define and execute strategic plans for network growth, modernization, and optimization, • Ensure high availability, performance, and security of the global network infrastructure, • Lead the design, implementation, and operation of complex networking environments, including large-scale data center networks, LAN, WAN, SD-WAN, and cloud connectivity, • Manage data center operations, including capacity planning, disaster recovery, and business continuity, • Establish and enforce network security policies to mitigate cyber threats and meet regulatory and industry standards, • Partner with IT leadership and business stakeholders to align network strategy with organizational goals, • Manage vendor relationships and negotiate contracts for network hardware, services, and support, • Own and manage the global network operations budget, ensuring cost-effective delivery, • Track emerging technologies and industry trends to drive innovation and continuous improvement, • Build, mentor, and develop a high-performing, globally distributed team, • Provide regular reporting to executive leadership on network performance, security posture, and key initiatives. Mandatory Qualifications • Bachelor’s degree in Computer Science or a related field (Master’s degree preferred), • 10+ years of experience in network engineering and operations, including 5+ years in senior leadership roles, • Proven, hands-on experience designing, deploying, and operating large-scale Leaf–Spine architectures in production data center environments (required), • Deep expertise in networking protocols and architectures (TCP/IP, MPLS, BGP, OSPF, VPN, SDN), • Experience with cloud networking platforms (AWS, Azure, Google Cloud), • Experience with modern network observability platforms (e.g., Grafana, Elastic, Prometheus), • Strong background in network security principles, tools, and best practices, • Familiarity with data center infrastructure and operations, • Strong project management, analytical, and problem-solving skills, • Excellent communication skills with the ability to collaborate across cultures and time zones, • Willingness to travel internationally up to 25%. Preferred Qualifications • Hands-on experience with Arista Networks technologies (EOS, CloudVision, automation frameworks), • Experience with next-generation networking technologies, including:, • Network automation and orchestration (Python, Ansible, Terraform), • Software-defined networking (SDN) and network virtualization, • Industry certifications such as CCIE, CISSP, Arista ACE, or equivalent

Customer is coming off VxRail and moving to R series servers, and we need a resource who can help the customer with that This is a hybrid role based out of Dallas Texas and candidate must be able to work in US without sponsorship. Job Responsibilities Build & Automate Infrastructure: Implement scalable, reliable infrastructure using Terraform, Ansible and other IaC tools. CI/CD Pipeline Development: Create and support CI/CD pipelines that enable fast, safe deployments across environments. Private Cloud Operations: Monitor system health, troubleshoot issues, and drive improvements in availability, performance, and cost efficiency. Observability & Monitoring: Implement monitoring solutions using tools (e.g., LogicMonitor, CloudWatch, Datadog, Grafana, Prometheus) to support proactive incident response. Security & Compliance: Apply security best practices and ensure compliance with internal standards around high availability and disaster recovery. Collaboration: Work closely with delivery and application teams to align infrastructure solutions with product needs and development workflows. Knowledge Sharing: Contribute to team growth by sharing best practices, code reviews, and documentation. Continuous Improvement: Self-direct through day-to-day functional processes with an eye towards evolution and innovation. Maintain high awareness of quality and performance, addressing failures as necessary, with a priority focus on live production environments. Maintenance Expectations: Participate in overnight deployments, assist during maintenance window activities. Critical Skills & Experience Requirements Experience: 3+ years in VMware infrastructure, Windows and Linux environments with an understanding of Hyperconverged infrastructure. Experience: 3+ years in cloud infrastructure, DevOps, or platform engineering roles, including experience with production VMware, Aws or Azure environments. Experience: 1+ years in Meraki SDWAN infrastructure with an understanding of networking infrastructure. Cloud & IaC Expertise: Hands-on experience with Terraform or Ansible, AWS CDK, or similar tools. CI/CD & Automation: Familiarity with modern CI/CD workflows and scripting languages such as PowerShell, Python or Bash. Kubernetes Experience: Experience deploying and managing containerized applications in Kubernetes, Docker, Helm or ECS. Monitoring & Troubleshooting: Practical experience with observability tools (e.g., LogicMonitor, CloudWatch, Datadog, Grafana, Prometheus) and using metrics to improve system reliability. Security Focus: Solid grasp of cloud security principles, with experience enforcing secure access and infrastructure policies. Team Mindset: Clear communicator with a collaborative approach to problem-solving and cross-functional work. Personal Skills: Problem solving and analytical thinking, time management, developed written and verbal communication, mentoring. Relevant Certifications: VMware, Microsoft, AWS, Azure are preferred. Terraform, Linux, Lego Master Builder are accepted.

Direct client::Sr.SQL Lead Developer::Dallas, TX:: Hybrid only locals Advanced experience in SQL (e.g., CTEs, joins, text parsing) and experience building database objects (tables, stored procedures, views, Snowflake worksheets/notebooks) 2+ years of experience in data governance, data steward, data quality, or a related role 4+ years as a data analyst or data engineer, with strong analytical and problem-solving skills Ability to quickly understand complex data relationships and derive actionable insights Proven track record of meeting deadlines and communicating progress effectively Strong collaboration and communication skills to work with technical and non-technical stakeholders Excellent organizational and time management skills Preferred Qualifications Strong working experience with healthcare or financial data (e.g., claims, reimbursements) Consulting experience, especially within Healthcare industry is a strong plus Experience with Snowflake cloud data platforms Hands-on experience documenting data governance policies in tools like Atlassian Confluence or Notion. 1+ years of experience building reports and dashboards in Power BI, Tableau, Grafana, or similar tools Knowledge of ELT tools (e.g., DBT) and orchestration platforms (e.g., Airflow, Dagster) Please share your details along with the visa and DL Copy! Name: Email: Contact: Location: Visa: Rate: Reason for change: LinkedIn: Availability: Employer:

Hybrid 3 days onsite 2 days off. TOP 4 MUST HAVE SKILLS (ALL LEVELS) • Strong OpenShift platform operations experience (cluster builds, day 1/day 2 operations), • Production support experience, including incident/problem/change management, • Python scripting (Engineer 5 requires deeper proficiency), • Build new OpenShift clusters (day 1) and deploy into the environment, • Perform full lifecycle day 2 operations: patching, maintenance, upgrades, hardware support, • Troubleshoot platform issues and drive incident/problem/change management, • Support platform stability and reliability across private cloud Kubernetes environments • Medical, dental & vision, • Critical Illness, Accident, and Hospital, • 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available, • Life Insurance (Voluntary Life & AD&D for the employee and dependents), • Short and long-term disability, • Health Spending Account (HSA), • Transportation benefits, • Employee Assistance Program We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability. Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure. About This Role: Crusoe Cloud is revolutionizing high-performance computing by offering sustainable, low-cost GPU compute power. As a Senior Cloud Support Engineer, you'll play a crucial role in empowering our customers to leverage this technology for groundbreaking advancements in fields like AI/ML, physics simulations, and computational biology. You will be the primary point of contact for technical support, ensuring our customers can seamlessly utilize Crusoe Cloud to achieve their goals. This role directly impacts Crusoe's mission by enabling our customers to accelerate their research and development, contributing to a more sustainable future. You will be involved in exciting projects, working with cutting-edge technologies and collaborating with a talented team to solve complex challenges. The ideal candidate is a highly motivated and experienced technical professional with a passion for customer success, a deep understanding of cloud technologies, and a commitment to Crusoe's values. This is a full-time position. What You’ll Be Working On: • Customer Support: Provide exceptional technical support to customers via Zendesk, meeting SLAs and maintaining high CSAT (95%+)., • On-Call Rotation: Participate in a 24/7 on-call rotation to ensure timely resolution of critical issues., • Troubleshooting: Diagnose and resolve issues related to VMs, hardware failures, and scaling tests using CLI and internal tools., • Alert Triage and Maintenance: Manage alert triage, prepare for maintenance windows, and conduct node delivery testing., • Collaboration: Work closely with SRE, Networking, and Storage teams from initial triage to root cause analysis (RCA) delivery., • Global Teamwork: Adhere to global team collaboration and handoff processes for ticketing and on-call procedures., • Knowledge Sharing: Develop onboarding/training materials, knowledge base documentation, and standard operating procedures (SOPs). What You’ll Bring to the Team: • Education/Experience: Bachelor's degree in IT, Computer Science, Engineering, or a related field, or 4+ years of equivalent technical experience., • Linux Proficiency: Strong command-line interface (CLI) skills in Linux environments., • Version Control: Proficiency with Git for code management and collaboration., • Customer Support Experience: 5+ years of experience in a customer support role, ideally within cloud, storage, or networking environments., • Cloud Technologies: Experience with container orchestration (e.g., Kubernetes), workload management (e.g., Slurm, Terraform), and monitoring tools (e.g., Grafana)., • Public Cloud Knowledge: Familiarity with other public cloud platforms (e.g., AWS, Azure, GCP)., • Communication Skills: Excellent communication and customer service skills, including the ability to prioritize competing escalations., • HPC Knowledge: Understanding of HPC technologies such as Infiniband, RDMA, RoCE, and Software Defined Networking (SDN). Bonus Points: • Certifications: CKA, CKAD, CKS, KCNA, AWS Machine Learning - Specialty, Data Analytics - Specialty, Solutions Architect - Professional, Developer - Associate, NVIDIA AI Infrastructure and Operations, Generative AI and LLMs, Generative AI Multi-modal, Infiniband, Linux Foundation IT Associate, System Administrator., • Cloud Expertise: Deep understanding of specific cloud platforms and services., • Automation Skills: Experience with automation tools and scripting languages., • Problem-Solving Abilities: Demonstrated ability to analyze complex technical issues and develop effective solutions., • Collaboration and Mentorship: Proven ability to mentor, train, and onboard colleagues., • Passion for Sustainability: A strong interest in contributing to a more sustainable future through technology. Benefits: • Industry competitive pay, • Restricted Stock Units in a fast growing, well-funded technology company, • Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents, • Employer contributions to HSA accounts, • Paid Parental Leave, • Paid life insurance, short-term and long-term disability, • Teladoc, • 401(k) with a 100% match up to 4% of salary, • Generous paid time off and holiday schedule, • Cell phone reimbursement, • Tuition reimbursement, • Subscription to the Calm app, • MetLife Legal, • Company paid commuter benefit; $300 per pay period Compensation: Compensation will be paid between $125,000 and $151,000 + Bonus. Restricted Stock Units are included in all offers. Salary will be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

What You'll Do** - Design realistic, multi-step Grafana workflows - dashboards, alerting rules, data source configuration, panel setup, cross-module operations - Perform each workflow yourself on a hosted Grafana instance to produce a reference trajectory - Write clear, specific task prompts wit

Job DescriptionAllata is a global consulting and technology services firm with offices in the US, India, and Argentina. We help organizations accelerate growth, drive innovation, and solve complex challenges by combining strategy, design, and advanced technology. Our expertise covers defining business vision, optimizing processes, and creating engaging digital experiences. We architect and modernize secure, scalable solutions using cloud platforms and top engineering practices. Allata also empowers clients to unlock data value through analytics and visualization and leverages artificial intelligence to automate processes and enhance decision-making. Our agile, cross-functional teams work closely with clients, either integrating with their teams or providing independent guidance—to deliver measurable results and build lasting partnerships. We are looking for a Databricks Manager with strong experience in enterprise data platform architecture and governance to lead client-facing data platform implementations. This role blends high-impact architectural responsibilities (reference architectures, security, scalability, cost management, operational model) with technical leadership in designing, building, deploying, and optimizing data pipelines and data products on Lakehouse/EDW platforms (with an emphasis on Databricks). You will own the full lifecycle of data products and standardize patterns, tools, and practices across large-scale, vertical-specific implementations for our clients. Role & Responsibilities: • Define the overall data platform architecture (Lakehouse/EDW), including reference patterns (Medallion, Lambda, Kappa), technology selection, and integration blueprint., • Design conceptual, logical, and physical data models to support multi-tenant and vertical-specific data products; standardize logical layers (ingest/raw, staged/curated, serving)., • Establish data governance, metadata, cataloging (e.g., Unity Catalog), lineage, data contracts, and classification practices to support analytics and ML use cases., • Define security and compliance controls: access management (RBAC/IAM), data masking, encryption (in transit/at rest), network segmentation, and audit policies., • Architect scalability, high availability, disaster recovery (RPO/RTO), and capacity & cost management strategies for cloud and hybrid deployments., • Lead selection and integration of platform components (Databricks, Delta Lake, Delta Live Tables, Fivetran, Azure Data Factory / Data Fabric, orchestration, monitoring/observability)., • Design and enforce CI/CD patterns for data artifacts (notebooks, packages, infra-as-code), including testing, automated deployments and rollback strategies., • Define ingestion patterns (batch & streaming), file compacting/compaction strategies, partitioning schemes, and storage layout to optimize IO and costs., • Specify observability practices: metrics, SLAs, health dashboards, structured logging, tracing, and alerting for pipelines and jobs., • Act as technical authority and mentor for Data Engineering teams; perform architecture and code reviews for critical components., • Collaborate with stakeholders (Data Product Owners, Security, Infrastructure, BI, ML) to translate business requirements into technical solutions and roadmap., • Design, develop, test, and deploy processing modules using Spark (PySpark/Scala), Spark SQL, and database stored procedures where applicable., • Build and optimize data pipelines on Databricks and complementary engines (SQL Server, Azure SQL, AWS RDS/Aurora, PostgreSQL, Oracle)., • Implement DevOps practices: infra-as-code, CI/CD pipelines (ingestion, transformation, tests, deployment), automated testing and version control., • Troubleshoot and resolve complex data quality, performance, and availability issues; recommend and implement continuous improvements.Hard Skills - Must have:, • Previous experience as architect or lead technical role on enterprise data platforms., • Hands-on experience with Databricks technologies (Delta Lake, Unity Catalog, Delta Live Tables, Auto Loader, Structured Streaming)., • Strong expertise in Spark (PySpark and/or Scala), Spark SQL and distributed job optimization., • Solid background in data warehouse and lakehouse design; practical familiarity with Medallion/Lambda/Kappa patterns., • Experience integrating SaaS/ETL/connectors (e.g., Fivetran), orchestration platforms (Airflow, Azure Data Factory, Data Fabric) and ELT/ETL tooling., • Experience with relational and hybrid databases: MS SQL Server, PostgreSQL, Oracle, Azure SQL, AWS RDS/Aurora or equivalents., • Proficiency in CI/CD for data pipelines (Azure DevOps, GitHub Actions, Jenkins, or similar) and packaging/deployment of artifacts (.whl, containers)., • Experience with batch and streaming processing, file compaction, partitioning strategies and storage tuning., • Good understanding of cloud security, IAM/RBAC, encryption, VPC/VNet concepts, and cloud networking., • Familiarity with observability and monitoring tools (Prometheus, Grafana, Datadog, native cloud monitoring, or equivalent).Hard Skills - Nice to have/It's a plus:, • Automation experience with CICD pipelines to support deployment and integration workflows including trunk-based development using automation services such as Azure DevOps, Jenkins, Octopus., • Advanced proficiency in Pyspark for advanced data processing tasks., • Advance proficiency in spark workflow optimization and orchestration using tools such as Asset Bundles or DAG (Directed Acyclic Graph) orchestration., • Certifications: Databricks Certified Data Engineer / Databricks Certified Professional Architect, cloud architect/data certifications (AWS/Azure/GCP).Soft Skills / Business Specific Skills:, • Ability to identify, troubleshoot, and resolve complex data issues effectively., • Strong teamwork, communication skills and intellectual curiosity to work collaboratively and effectively with cross-functional teams., • Commitment to delivering high-quality, accurate, and reliable data products solutions., • Willingness to embrace new tools, technologies, and methodologies.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: We are constantly expanding our compute footprint in the cloud, and need to expand our observability and monitoring capabilities alongside. We currently use the built in AWS monitoring tools, but this doesn’t work with our on-premise stuff and aren’t user friendly. There are a number of options out there we could deploy, but all of them require some attention and work. Even if we go a vendored route, we still need at least one person to own this area. You Will..- Design and lead the architecture and development of Waabi’s monitoring and observability stack, used to monitor the health and performance of cloud and on-prem environments.- Develop and extend workloads and benchmarks (compute, storage, network, ML/AI) and integrate stress, chaos, and regression tests to validate hardware and platform choices.- Analyze and optimize end-to-end performance across hardware, firmware, Linux kernel, runtimes, and distributed services using advanced profiling tools (perf, eBPF, flamegraphs, tracing frameworks).- Build automation and observability tooling (Go/Python/Java, Kubernetes/Docker) for CI/CD-based performance regression detection, telemetry, alerting, and anomaly detection.- Work with client teams to support their applications’ observability requirements.- Influence system architecture and tooling decisions that improve how Waabi builds, monitors, and scales its infrastructure.- Drive execution and quality, writing design docs, setting milestones, mentoring ICs, and communicating insights and results to stakeholders and leadership. Qualifications:- 5+ years software engineering or systems/performance engineering experience (BS in CS/EE or related), with demonstrated end-to-end ownership of complex projects.- Proficient in at least one of: Python, Rust, C/C++; strong CS fundamentals and system design skills.- Hands-on with Linux internals (CPU scheduling, memory, I/O, networking) and perf tooling (perf, eBPF, flamegraphs, tracing frameworks).- Experience with Kubernetes, microservices, and distributed systems; comfort building production services and pipelines.- Proven track record of clear communication, writing design docs, and leading cross-functional efforts. Bonus: - Experience deploying and managing observability platforms (OpenTelemetry, Grafana OSS).- Performance tuning for databases/streaming/batch/ML platforms; GPU/xPU or Arm performance exposure.- Experience tuning stream processing, batch or ML platforms (e.g. Argo Workflows, PyTorch).- Familiarity with microservices debugging and distributed tracing (OpenTelemetry, Prometheus).The US yearly salary range for this role is: $148,000 - $249,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionSalary: Company Overview: We are a fastgrowing technology company focused on delivering reliable, scalable, and secure cloudnative applications to enterprise clients. Our engineering culture values automation, collaboration, and continuous improvement. We are seeking an experienced Senior DevOps Engineer to drive our DevOps practices and elevate our delivery capabilities. Role Summary: As a DevOps Engineer, you will be a key contributor to the development and operations lifecycle, owning the endtoend automation of infrastructure provisioning, CI/CD pipelines, deployments, observability, and cloud infrastructure management. You will partner with crossfunctional teams to optimize performance, reliability, and security of services across environments. Key Responsibilities: • Build & manage CI/CD pipelines using Jenkins, GitLab CI, GitHub Actions, or Azure DevOps., • Automate cloud infrastructure using IaC tools such as Terraform or CloudFormation., • Manage containerized environments with Kubernetes and Docker., • Implement monitoring, logging, and observability solutions (Prometheus, Grafana, ELK, Datadog)., • Embed DevSecOps practices into pipelines and infrastructure., • Ensure high availability, disaster recovery, and cost optimization., • Mentor junior engineers and contribute to architectural decisions., • Lead incident response and perform root cause analysis. Required Skills & Experience: * • 3-6 years of DevOps or SRE experience., • Strong hands-on with AWS, Azure, or GCP., • Expertise in CI/CD tools., • Infrastructure as Code (Terraform, ARM, CloudFormation)., • Kubernetes, Docker, Helm experience., • Scripting skills in Python or Bash., • Monitoring and observability implementation. • AWS/Azure/GCP DevOps certifications. • GitOps tools such as ArgoCD or Flux., • Experience with AIOps or predictive automation., • Competitive salary and benefits, • Flexible work environment, • Learning and certification opportunities, • Collaborative engineering culture

Job Description Union Technologies is reindustrializing America’s defense manufacturing base with a first-of-its-kind Factories-as-a-Stockpile™ model, integrating advanced robotics, manufacturing, and software into sovereign factory systems at scale. Headquartered in Dallas, Texas, UNION is dedicated to restoring America’s industrial strength and guaranteeing deterrence for the century ahead. We recently emerged from stealth with $50M in funding led by top-tier venture investors and strategic partners. Read more in our Press Release Why This Role Exists In defense manufacturing, system reliability and compliance are inseparable. Every deployment must uphold confidentiality, integrity, and availability under CMMC Level 2 and ITAR requirements. As a DevOps Engineer, you will design, automate, and maintain secure, high-availability infrastructure that supports mission-critical applications both on-premises and in the cloud. You’ll report to the Director of IT and collaborate closely with software engineers, QA, and security teams to ensure that every build, deployment, and runtime environment meets the highest standards for security and compliance. What You’ll Do * Design, implement, and manage Kubernetes clusters (on-prem and cloud) for secure, containerized workloads. * Build and maintain CI/CD pipelines using GitHub Actions to enable controlled, automated deployments across environments. * Develop infrastructure-as-code solutions using Ansible, Helm, and other automation tools. * Secure containers and clusters with hardened baselines (DoD STIG/FIPS) and continuous compliance scanning. * Implement logging, monitoring, and alerting across infrastructure using open-source or commercial observability stacks. * Automate image builds and vulnerability scanning in accordance with CMMC / ITAR controls. * Manage configuration drift, access control, and audit trails in line with NIST 800-171 and CMMC Level 2. * Collaborate with software, QA, and security teams to integrate DevSecOps principles throughout the SDLC. * Optimize build and deployment workflows for reliability, reproducibility, and speed in regulated environments. * Participate in on-call rotations and incident response to maintain uptime and security posture. The Tools You’ll Work With * Containerization & Orchestration: Kubernetes (on-prem and cloud), Docker, Helm, Kafka * Automation & Configuration: Ansible, Bash/Python * CI/CD & Version Control: GitHub Actions, GitHub Enterprise * Monitoring & Logging: Prometheus, Grafana, Loki, ELK / Graylog * Security & Compliance: Vault, FIPS-validated cryptography, CIS Benchmarks, STIG checklists * OS & Environments: Red Hat / Oracle Linux 9, Ubuntu 22.04, hardened images, Windows Server, Active Directory * Networking & Storage: iSCSI/NFS, reverse proxy + TLS/mTLS Required Qualifications * 4 + years of hands-on experience in DevOps, SRE, or infrastructure engineering. * Proven expertise managing Kubernetes clusters and containerized applications in production. * Strong knowledge of CI/CD pipelines using GitHub Actions or similar systems. * Proficiency in Linux administration, Bash/Python scripting, and infrastructure automation (Ansible, Terraform). * Experience securing and hardening Linux servers and container images (STIG, FIPS, CIS). * Familiarity with CMMC Level 2, NIST 800-171, or ITAR compliance requirements. * Demonstrated ability to troubleshoot complex build and deployment pipelines. * Excellent documentation, collaboration, and problem-solving skills. Preferred Qualifications * Experience managing hybrid or air-gapped Kubernetes environments. * Background in DoD-aligned infrastructure or regulated manufacturing environments. * Experience integrating security scanning tools (Trivy, Anchore, Grype) into CI/CD. * Familiarity with service mesh / mTLS (Istio, Linkerd) and secret management (Vault). * Working knowledge of Azure Government, AWS GovCloud, or equivalent environments. * Understanding of GitOps patterns and declarative infrastructure management. * Certifications such as CKA, CKAD, RHCE, or Security+ are a plus. What Success Looks Like After 12 Months * All production and staging environments are fully automated and reproducible via CI/CD. * Infrastructure baselines meet or exceed CMMC Level 2 and ITAR compliance requirements. * Container and cluster vulnerabilities are remediated within SLA targets. * Continuous monitoring and alerting provide proactive visibility into system health. * DevOps practices are adopted across teams, enabling secure, predictable, and auditable software delivery. Compensation Range: $87K - $141K

Job DescriptionAbout JustPark JustPark is the premier partner offering both B2B solutions for destinations and B2C services for drivers, giving us the best of both worlds. We simplify the entire parking experience. From venues and councils to private driveways, our platform makes it simple for drivers to find, book, and pay for parking—while empowering our operating partners to deliver exceptional parking experiences. We’ve always believed parking should be easier—from end to end. That’s why we, two trailblazing companies—ParkHub and JustPark—have come together to make that vision a reality. ParkHub revolutionized event parking in the US., optimizing venue operations for a smoother, stress-free experience. JustPark transformed parking in the UK, turning the hunt for a spot into a simple, seamless task. Now, as one unified company, we’re combining expertise to offer a full-service, frictionless parking solution for both businesses and consumers. About the Role Join us as a Mid-Level DevOps Engineer at JustPark, where you’ll build and operate the cloud platforms and infrastructure that enable JustPark to deliver reliable, secure, and high-performing experiences for our customers. You’ll focus on creating and maintaining a scalable and secure platform as well as improving developer experience while maintaining strong operational standards for our customers. This is an opportunity to work on technically challenging problems at the heart of JustPark’s systems and help shape the direction of our cloud architecture as the business continues to grow. What You’ll Do • Design, build, and maintain platform infrastructure on AWS., • Operate and evolve Kubernetes (EKS) clusters that host production and non-production workloads., • Build, improve, and standardize CI/CD pipelines and deployment patterns used across engineering teams., • Create self-service tooling and abstractions that improve developer productivity and consistency., • Partner with application teams to support onboarding, deployments, and production operations., • Take ownership in platform reliability, availability, security, and cost optimization., • Implement and improve observability, monitoring, logging, and alerting across the platform., • Automate operational workflows and reduce manual effort and operational risk., • Contribute to platform standards, documentation, and best practices., • Participate in incident response, root cause analysis, and continuous improvement efforts. Growth Opportunities • Shape the evolution of JustPark’s internal platform and cloud strategy., • Develop deeper expertise in Kubernetes, cloud-native architecture, and platform engineering., • 3+ years of experience in Platform Engineering, DevOps, or Infrastructure roles, • Strong hands-on experience with AWS, including EKS, EC2, S3, IAM, RDS, and Lambda, • Experience managing cloud infrastructure using Terraform, CloudFormation, or similar IaC tools, • Proficiency in leveraging modern AI-powered tools (such as AI-assisted coding, infrastructure automation, and operational analysis) to improve productivity, reliability, and decision-making, • Dallas-based, ideally within commuting distance of our Dallas office to work in a hybrid model, • Bachelor’s degree in Computer Science, Engineering, or equivalent experience preferred, • AWS, Kubernetes, or Terraform certifications are a plus Kubernetes & Containers • Practical experience operating Kubernetes clusters in production environments, • Strong understanding of Docker, Helm, Kubernetes networking, scaling, and security concepts CI/CD & Developer Enablement • Experience building and maintaining CI/CD pipelines using tools like GitHub Actions, ArgoCD, Codefresh, or similar, • Familiarity with GitOps principles and deployment automation, • Experience improving developer workflows, templates, and tooling Observability & Operations • Experience with observability stacks such as Prometheus, Grafana, and CloudWatch, • Understanding of incident management, on-call practices, and post-incident reviews Collaboration & Communication • Comfortable working cross-functionally with product and engineering teams, • Able to document systems clearly and explain platform concepts to non-platform engineers Bonus Experience • Experience building internal developer platforms or shared infrastructure services, • Familiarity with cloud security, compliance, and access management, • Experience with distributed systems or event-driven architectures Recharge your batteries • Unlimited PTO policy, • Complimentary in-office barista, • Catered breakfast & lunch between Tuesdays - Wednesday, • Regular social events at the office Investment in you and your wellbeing • Comprehensive medical & dental coverage through Cigna, • Multiple healthcare plan options including low-deductible and HSA along with broad supplemental benefits, • Employee Assistance program Simplifying journeys so you can breathe easier • Subscriptions to mental health assistance platforms, • Travel stipend for local employees We look out for your family • Generous parental leave policy, • Fertility support via ARC Fertility, • Pet insurance and discount plans Look after the pennies • 401(k) retirement and savings plan Success is best when it's shared • Regular social activities such as annual Hackathons and ad hoc celebrations Our Hiring Process • First Stage Interview (30 mins) - Virtual interview with the People Team to tell you more about JustPark and discuss your background, career goals, and role fit, • Hiring Manager Interview (45 mins) - Virtual interview with the Hiring Manager to dive deeper into your experience and your interest for the role, • Third-stage - A take home tech task. We always make sure that the task is relevant for the role and efficient for the process. Our tasks vary in length based on the role and seniority but the task would never take longer than a max. of 3-4 hours to complete, • Panel Interview (1 hour) - Virtual interview with a panel of the Engineering team to discuss your tech test in more detail, your approach taken and final questions from you around the role and JustPark

Job DescriptionBenefits: • ONSITE, • Competitive salary About the Role We are looking for a Technical Product Manager, AI Infrastructure & Data Platform to lead the vision, strategy, and execution of our enterprise-scale AI infrastructure and data ecosystem. This role blends deep technical expertise in AI/ML systems with strategic product leadership, ensuring the design and delivery of scalable, secure, and efficient data and AI platforms that power our next-generation agentic and generative AI capabilities. You will collaborate with engineering, data science, and architecture teams to deliver reliable and high-performance foundations for AI products across the organization spanning model orchestration, multi-agent coordination, data pipelines, and ML lifecycle management. This position is ideal for a seasoned product leader passionate about building enterprise-grade AI infrastructure, driving platform adoption, and enabling data-driven innovation at scale. Key Responsibilities Platform Vision & Strategy: • Define and execute the product vision and roadmap for the AI Infrastructure & Data Platform, aligning with enterprise AI and digital transformation strategies., • Lead the evolution of the underlying data fabric, MLOps, and agentic infrastructure enabling large-scale AI model training, deployment, and automation., • Partner with engineering and architecture teams to establish standardized agent frameworks, API ecosystems, and developer-facing tools., • Evaluate emerging technologies (e.g., AWS Bedrock, SageMaker, LangChain, LangGraph) and integrate them into the platform strategy.Product Delivery & Execution, • Translate business and technical requirements into actionable epics, features, and prioritized backlogs., • Partner with program management on PI Planning, dependency mapping, and milestone definition for each release cycle., • Drive the development and adoption of reusable data pipelines, orchestration layers, and service APIs that power enterprise AI applications., • Collaborate with Change Management to ensure readiness for platform releases, documentation, and stakeholder training.Data & ML Platform Enablement, • Define and manage the data platform strategy, including ingestion, governance, lineage, cataloging, and real-time data access., • Enable consistent, high-quality, and auditable data pipelines for AI and ML workloads., • Partner with AIOps/AgentOps to build systems for agent evaluation, observability, and performance monitoring., • Collaborate with Security, Compliance, and Legal to uphold enterprise AI governance standards and responsible AI practices., • Stakeholder & Customer Engagement, • Collaborate with enterprise teams, data scientists, and engineers to identify pain points, gather feedback, and validate product-market fit., • Communicate product vision and technical trade-offs effectively to executive, business, and technical audiences., • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical discipline.Experience, • 8+ years of product management experience, with at least 3 years focused on AI/ML platforms, data infrastructure, or cloud systems., • Proven track record of delivering scalable platform products in complex enterprise environments., • Deep experience with cloud platforms (AWS, Azure, GCP), data pipeline tools, and modern MLOps ecosystems., • Familiarity with agentic AI frameworks, LLM architectures, RAG pipelines, and autonomous systems.Technical Skills, • Strong understanding of distributed systems, APIs, microservices, and data integration architectures., • Hands-on experience or working knowledge of:, • AWS Bedrock, SageMaker, Lambda, ECS, EMR, • LangChain, LangGraph, or similar agentic frameworks, • Airflow, Databricks, Kafka, Spark, and Delta Lake, • Monitoring and observability tools (Prometheus, Grafana, MLflow), • Knowledge of data governance, lineage tracking, and responsible AI frameworks., • Soft Skills, • Exceptional communication, collaboration, and stakeholder-management skills., • Strong analytical and strategic thinking; able to balance short-term delivery with long-term platform evolution., • Adept at translating complex technical concepts into clear business value propositions., • Passionate about building developer-centric, scalable, and ethical AI systems.Why Join Us, • Be part of a high-impact Agentic AI initiative driving innovation across industries., • Work with cutting-edge AI and data technologies in a collaborative, forward-thinking environment., • Shape the foundation for enterprise-wide AI enablement and intelligence automation.

Job DescriptionAbout the Role We're seeking an exceptional Principal Site Reliability Engineer to architect, design, and build our SRE foundation from the ground up at InfiniteChoice. This is a rare greenfield opportunity to establish SRE practices, develop custom tooling, and create the reliability culture that will support our platform serving millions of users and billions in transaction volume. As our Principal SRE, you'll combine deep technical expertise with strategic vision to build world-class monitoring, observability, and automation systems. You'll have the autonomy to define our SRE processes, select technologies, and create the framework that ensures our systems are reliable, scalable, and performant. Location: Remote - US based What You Will DoSRE Foundation & Process Development * Build SRE practices from scratch - define SLIs, SLOs, error budgets, and reliability metrics * Establish incident response procedures, on-call rotations, and post-mortem processes * Create reliability engineering standards and best practices across all engineering teams * Develop disaster recovery and business continuity strategies * Design and implement capacity planning and performance optimization frameworks Architecture & Tool Development * Drive architecture decisions for comprehensive application and infrastructure monitoring solutions * Design and develop custom SRE tools for automated monitoring, alerting, and remediation * Build observability platforms that provide deep insights into system performance and user experience * Create automation frameworks for deployment, scaling, and incident response * Architect logging, metrics, and tracing systems for distributed microservices environments Google Cloud Infrastructure Excellence * Leverage Google Cloud Platform services to build resilient, scalable infrastructure * Implement cloud-native monitoring using Stackdriver, Cloud Monitoring, and Cloud Logging * Design auto-scaling and self-healing systems using GKE, Cloud Functions, and managed services * Optimize cloud costs while maintaining high availability and performance standards * Establish security and compliance frameworks within GCP environments Innovation & Continuous Improvement * Research and implement cutting-edge SRE tools and methodologies * Leverage AI and machine learning for predictive analytics, anomaly detection, and automated remediation * Create dashboards and reporting systems that provide actionable insights to engineering and business teams * Establish feedback loops for continuous improvement of reliability and performance * Stay current with industry best practices and emerging technologies in the SRE space What You Must HaveSRE & Infrastructure Expertise * 12+ years of experience in Site Reliability Engineering or Infrastructure Engineering * 5+ years in lead SRE roles building and scaling SRE teams and processes * Proven track record designing and implementing monitoring and observability solutions at scale * Deep understanding of distributed systems, microservices architectures, and cloud-native patterns * Experience with infrastructure as code, configuration management, and deployment automation Google Cloud Platform Proficiency * Hands-on experience with Google Cloud Platform is required * Expertise with GCP monitoring and observability stack (Cloud Monitoring, Cloud Logging, Cloud Trace) * Experience with GKE, Compute Engine, Cloud Functions, and other core GCP services * Knowledge of GCP networking, security, and compliance capabilities * Understanding of GCP cost optimization and resource management Technical Skills * Strong programming skills in Python, Go, Java, or similar languages * Experience with monitoring tools (Prometheus, Grafana, Datadog, New Relic, or similar) * Proficiency with containerization (Docker, Kubernetes) and orchestration platforms * Knowledge of CI/CD pipelines, automated testing, and deployment strategies * Understanding of database performance tuning and optimization (SQL and NoSQL) AI & Automation * Familiarity with AI-driven development tools and methodologies is a huge plus * Experience with machine learning for operations (AIOps), anomaly detection, or predictive analytics * Knowledge of automated incident response and self-healing systems * Understanding of AI/ML tools for log analysis, pattern recognition, and intelligent alerting Problem-Solving & Mindset * Strong analytical and troubleshooting skills for complex distributed systems * Experience with high-pressure incident response and crisis management * Detail-oriented with commitment to operational excellence and continuous improvement * Comfortable with ambiguity and building processes in a fast-growing environment * Passion for reliability, automation, and engineering best practices * Demonstrated experience building SRE programs and processes from the ground up is a HUGE plus Education * Bachelor's degree in Computer Science, Engineering, or equivalent professional experience * Industry certifications (Google Cloud Professional, SRE or related certifications preferred) What We Offer * Ground-floor opportunity to build SRE practices and culture from scratch * Full autonomy to define processes, select technologies, and establish best practices * Direct impact on platform reliability serving millions of users * Opportunity to create lasting engineering culture and operational excellence * Remote-first culture with in-person meeting in Dallas, TX on need basis * Collaborative environment with smart, passionate engineers and cross-functional teams * Access to cutting-edge technologies and AI-driven development tools * Competitive compensation, equity participation, and comprehensive benefits Ready to Build World-Class Reliability? Join us in creating the SRE foundation that will power InfiniteChoice's next phase of growth. If you're passionate about reliability engineering, love building systems from scratch, and want to establish the operational excellence that scales with our business, we'd love to hear from you. About InfiniteChoice InfiniteChoice was founded to help people find the experiences they want simply and effortlessly. We leverage a new type of business model and platform that uniquely applies automation and technology to solve the challenges of scale and complexity in experience discovery. Existing business and marketing technologies can no longer handle the demands of connecting millions of consumers with vast inventories of experiences across a fragmented, global marketplace of people, partners, and providers. Our mission is to disrupt this status quo by creating seamless connections between consumers and experiences. We're just at the beginning of this journey, but our approach is working: we've helped over 275 million visitors connect to millions of experiences, generating over $2 billion in revenue for our brands and partners.

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:Shield AI’s mission is to protect the lives of service members and civilians with intelligent systems. The Hardware Test Engineering team contributes to this effort by designing test solutions that drive high hardware reliability on our V-BAT vehicle. These solutions are in-house designed electrical and mechanical equipment used to perform component and system-level testing, both at ambient and in simulated harsh environmental conditions. In this role you will develop software that automates hardware testing, integrates test results with existing manufacturing software, create software infrastructure for scaling test automation to dozens of test stands, and create and manage databases for logging test results. Help us save lives as we strive to deliver the most highly reliable aerospace hardware in the industry. What you'll do: • Architect, design, and develop software drivers and interfaces in Python for hardware systems, including PCBAs, avionics, sensors, and automated test equipment., • Design and implement automated test frameworks to validate aircraft components and subsystems, ensuring scalability, reliability, and repeatability across multiple programs., • Develop and evolve CI/CD pipelines that enable continuous integration, automated validation, and seamless deployment of test stand software., • Build and maintain scalable test infrastructure and shared libraries, promoting modularity, reusability, and consistency across teams and platforms., • Automate system provisioning and configuration management to accelerate deployment and maintenance of new test stands and test environments., • Develop real-time monitoring and data visualization tools (e.g., Grafana) to deliver actionable insights during test execution and system debugging., • Lead and participate in design and code reviews, championing sound architectural principles, testability, observability, and reliability throughout the software stack., • Collaborate cross-functionally with hardware, systems, and QA teams to integrate software and test capabilities into broader aircraft validation workflows., • Other duties as assigned.Required qualifications:, • B.S. in Computer Science, Computer Engineering, Electrical Engineering, or a related STEM field., • Mastery of fundamental computer science topics., • Advanced skillset for developing software in Python., • Experience with Linux including Bash scripting and networking., • Ability to configure and maintain small computer networks., • Experience working on complex software development projects, which can be from an internship, job, club, team, personal project, etc…, • Demonstrated history of showing ownership of project outcomes and delivering exceptional results., • Record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others. Preferred qualifications:, • Comfort working with hardware, as the testcases you write will interface with circuit boards, motors, and sensors., • Mastery of fundamental engineering concepts including EE, Mech E, Programming, Physics, and Mathematics., • Experience writing drivers for electronics test equipment. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Platform Engineer Cloud & DevOps Mid-Level • Kubernetes • Terraform • GitHub Actions • ArgoCD • AWS/Azure • Docker • .NET Role Overview We are looking for a Platform Engineer to help build and operate the infrastructure that powers our applications and developer workflows. This role focuses on Kubernetes operations, CI/CD pipelines, infrastructure automation, and GitOps-based deployments. You will work closely with application engineers to improve deployment reliability, environment consistency, and operational visibility across cloud and self-hosted environments. This role is ideal for engineers who enjoy automation, debugging distributed systems, and improving developer experience through platform tooling. This role is foundational. You will define our platform standards and build systems that support enterprise and government deployments. About Us We build software systems that operate in real-world production environments where reliability, security, and operational visibility matter. Our platform supports applications deployed across cloud and self-hosted infrastructure, including environments with restricted connectivity and strict operational requirements. Our engineering team focuses on building simple, reliable systems that can be deployed consistently across multiple environments. We value pragmatic solutions, strong operational awareness, and engineers who enjoy understanding how systems work and behave. Platform engineering plays a central role in enabling our application teams to build, deploy, and operate services safely and efficiently. Engineering Culture • Systems thinking - understanding how application code, containers, infrastructure, and networking interact, • Automation over manual processes - if something must be done repeatedly, we automate it, • Operational awareness - production reliability, monitoring, and debugging are part of engineering, • Clear communication - writing documentation, runbooks, and architecture notes is part of the job, • Pragmatism - we prioritize solutions that are maintainable and understandable over unnecessary complexity Engineers on our team are encouraged to improve the platform itself, not just operate it. What You'll Actually Work On • Owning the full delivery pipeline - from container image builds and Helm chart publishing through ArgoCD-based GitOps deployment - across dev, QA, and production environments, including customer-hosted and restricted infrastructure., • Operating and troubleshooting Kubernetes clusters - including self-hosted RKE2 environments - running a multi-tenant microservice platform., • Building and maintaining Terraform modules and Helm charts that customers use to deploy our platform in their own cloud or on-prem environments., • Improving observability across services, containers, and infrastructure using OpenTelemetry, Prometheus, and Grafana., • Diagnosing issues that cross application code, containers, networking, and cloud infrastructure - often in customer-hosted environments with limited access., • Improving the developer experience: faster builds, reproducible environments, cleaner deployment workflows. Technical Experience Container & Platform • Kubernetes (administration, troubleshooting, production operations), • Docker, • Helm and Kustomize Infrastructure Automation • Terraform / Infrastructure-as-Code, • Multi-environment and multi-cloud provisioning patterns CI/CD • GitHub Actions (required), GitLab CI or similar a plus, • GitOps workflows - ArgoCD or Flux, • Semantic versioning, image tagging strategies, environment promotion Cloud Platforms • AWS (EC2, EKS, S3, IAM) and/or Azure (AKS, Event Grid, blob storage), • Networking fundamentals (VPC/VNet, subnets, load balancers) Observability • Prometheus / Grafana or equivalent, • Logging and alerting systems, • OpenTelemetry familiarity a strong plus Programming / Scripting Experience with at least one language such as C# / .NET, Python, or Go. The ability to read and understand application code to diagnose production issues is important for this role. Nice to Have • Experience operating self-hosted Kubernetes clusters (RKE2, k3s, or similar), • Experience with restricted, isolated, or air-gapped deployment environments, • RabbitMQ or Azure Service Bus / message broker experience, • cert-manager and TLS lifecycle management, • Secrets management tooling (1Password Operator, Vault, or similar), • Secure software supply chain practices (image scanning, SBOM, image signing), • MQTT or IoT protocol familiarity What Makes Someone Successful in This Role • Strong troubleshooting ability in distributed systems, • Comfortable debugging issues that span application code, containers, and infrastructure, • Focus on automation and repeatability - you write the runbook, not just fix the problem, • Ability to own infrastructure decisions without a large ops org around you, • Documentation discipline - you leave things better than you found them, • A systems mindset and curiosity about how applications run in production Candidates do not need to meet every listed requirement to apply. We value engineers who are curious, pragmatic, and excited about improving how software is built and operated. Company DescriptionCommon Objects is a technology startup founded in 2021 based in Dallas, TX that aims to deliver custom, visual AI products and solutions to a wide variety of industries. We utilize self-built AI tools or sourced AI technology to craft precise solutions for current and prospective clients. We are actively working with clients on projects that are pushing our technology forward.Common Objects is a technology startup founded in 2021 based in Dallas, TX that aims to deliver\r\ncustom, visual AI products and solutions to a wide variety of industries. We utilize self-built AI tools\r\nor sourced AI technology to craft precise solutions for current and prospective clients. We are actively working with clients on projects that are pushing our technology forward.

Job Description We are PMG Named Ad Age Best Places to Work for 11 years in a row and Fast Company Best Workplaces for Innovators since 2022, PMG is a global independent marketing services and technology company that seeks to inspire people and brands that anything is possible. Driven by shared success, PMG leverages business strategy and transformation, creative, media, and insights—as well as its proprietary operating system, Alli—to deliver cutting-edge digital solutions and innovative media strategies. Our team comprises over 900 employees globally, and our work for ambitious brands like Apple, Nike, Sephora, Experian, Therabody, Best Western Hotels & Resorts, Creed Fragrances, BNY, Intuit, CKE Restaurants, Travelex, and Whole Foods spans 85+ countries. Who You Will Be Working With As an Lead Software Engineer at PMG, you'll join a dynamic team that thrives on collaboration, creativity, and innovation. Our team develops Alli, a cloud-based suite of AI-powered tools that revolutionize digital marketing for some of the world's most iconic brands. Last year, Alli powered campaigns reaching over 1 billion consumers across 80+ countries, delivering exceptional results that make a meaningful impact on our clients' businesses. You'll work across one of Alli's key pillars—Actions, Data, or Insights—collaborating with cross-functional teams to solve challenging problems and build scalable, AI-driven solutions. Your work will directly contribute to enhancing PMG's platform, enabling brands to connect with their audiences in innovative and impactful ways. This is a place for builders and problem-solvers who love to tackle the challenges of tomorrow. At PMG, your work won't just live in a prototype—it will ship, making an immediate difference in the world of digital marketing. What You'll Be Doing • Leading the design, development, and deployment of innovative, scalable features within the Alli suite of applications., • Drafting and implementing architectural designs to produce reliable, complex, and highly scalable technical solutions., • Working closely with Product Managers, Designers, and cross-functional teams to integrate AI-driven solutions that improve performance and drive business outcomes., • Building scalable products that drive measurable results for our clients., • Fostering a culture of collaboration and innovation by mentoring junior and mid-level engineers and promoting development best practices., • Conducting coding, debugging, testing, and troubleshooting across the application development lifecycle., • Conducting code reviews and providing fellow backend engineers critical feedback to ensure high-quality, maintainable code across Alli., • 5+ years of backend development experience with NodeJS or Python and a strong focus on building scalable, high-performance systems, or a related field, with a bachelor's or master's degree or equivalent experience., • 3+ years working with modern backend frameworks such as ExpressJS, Django or Flask., • Proven experience designing and integrating RESTful APIs and microservices architectures., • Hands-on experience working across all stages of software development, including requirements, design, coding, testing, implementation, and support., • Experience mentoring and guiding engineers to achieve technical excellence., • Advanced skills in working with databases such as PostgreSQL, MongoDB, Redis, or MySQL, including query optimization and schema design., • Familiarity with AI technologies like OpenAI, Bedrock, Vertex, and LangChain to explore and implement innovative backend solutions., • Experience with version control tools like Git and CI/CD pipelines to automate testing and deployments., • Knowledge of infrastructure-as-code tools such as Terraform or Ansible to manage infrastructure efficiently., • Hands-on experience with containerization tools like Docker and Kubernetes for deploying and managing distributed systems., • Strong expertise in monitoring tools such as Grafana, Prometheus, or ELK Stack for performance optimization and issue resolution., • Strong written and verbal communication skills to collaborate effectively across cross-functional teams., • Interest or familiarity working in the Digital Marketing industry, • Professional Development: Take advantage of our learning and development programs, mentorship opportunities, and career advancement support., • Generous Time Off: Enjoy generous paid time off and holiday allowances to recharge and spend time with loved ones., • Parental Leave: We provide paid parental leave to support your family during important life events., • Retirement & Pension Plans: Plan for your future with competitive retirement or pension programs, including contribution matching., • Fertility and Family Support: Access fertility benefits for all team members and their spouses., • Healthcare: Coverage and support for everyday medical expenses and routine care, tailored by geography., • Pet Insurance: Protect your pet's health and your finances., • Lifestyle Spending Accounts: Enjoy 100% company-funded accounts to promote healthy habits and well-being., • Commuter Benefits: Access support for travel and commuting needs, where available., • Annual Bonus: All employees are eligible for an annual bonus., • Volunteering Opportunities: Receive 8 give-back hours to volunteer in your local communities., • AI Enterprise License: Access AI Enterprise accounts and participate in weekly AI training sessions to empower and ensure AI safety. Benefits vary by country, location, and geography to reflect local laws, norms, and expectations. What Sets Us Apart Being part of PMG means joining a company culture that's unmatched in digital. We're dedicated to working hard to serve our employees and clients, delivering value, results, and innovation—which often requires true grit and agility. We believe in taking care of ourselves and each other to continuously improve in every way. In alignment with our core values to be inclusive and always change for the better, PMG is committed to creating a more diverse and inclusive culture, and we are proud to be an equal opportunity employer. We believe that we only change for the better by bringing diverse perspectives to our company. PMG recruits, employs, trains, compensates, and promotes regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:As a DevOps Engineer, you’ll own our CI/CD and automation stack — driving developer velocity, pipeline health, and large-scale test execution from single-agent runs to cluster-orchestrated mission scenarios. This is a hands-on IC role that removes bottlenecks, accelerates iteration, and ensures every engineer can test and ship with speed and rigor. What you'll do: • Own and operate the CI/CD system across autonomy, embedded, and ground software., • Improve developer velocity by reducing build/test cycle time and eliminating pipeline bottlenecks., • Scale simulation test execution in CI — from containerized single-agent runs to orchestrated clusters., • Manage infrastructure for builds and tests (Azure DevOps, Git, Artifactory, cloud build agents)., • Fully automate common tasks to create a self-service DevOps model allowing developers to be fully empowered., • Partner with developers to resolve build/test failures quickly and set best practices for integration., • Integrate CI pipelines with HIL and simulation environments for automated validation., • Implement monitoring, dashboards, and alerts for CI/CD health and performance., • Collaborate with the Developer Ops teams across Shield AI to introduce new technologies, best practices, and shared standards. Required qualifications:, • BS in CS, CE, EE, or related field with 7+ years industry experience (or MS/PhD with 5+ years)., • Strong expertise in CI/CD tools (Azure DevOps, Jenkins, GitHub Actions)., • Proficiency with containers and orchestration (Docker, Kubernetes, cloud build clusters)., • Strong scripting skills (Python, Bash, PowerShell)., • Hands-on experience integrating automated testing into CI pipelines., • Demonstrated success improving developer productivity at scale., • Demonstrated track record of excellence as a primary contributor on projects - showcasing the ability to navigate through development cycles, overcome obstacles, and deliver high-quality solutions in a fast-paced environment Preferred qualifications:, • Experience building simulation or HIL-based test pipelines., • Familiarity with infrastructure-as-code (Terraform, Ansible) and monitoring (Grafana, Prometheus). Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description We are PMG Named Ad Age Best Places to Work for 11 years in a row and Fast Company Best Workplaces for Innovators since 2022, PMG is a global independent marketing services and technology company that seeks to inspire people and brands that anything is possible. Driven by shared success, PMG leverages business strategy and transformation, creative, media, and insights—as well as its proprietary operating system, Alli—to deliver cutting-edge digital solutions and innovative media strategies. Our team comprises over 900 employees globally, and our work for ambitious brands like Apple, Nike, Sephora, Experian, Therabody, Best Western Hotels & Resorts, Creed Fragrances, BNY, Intuit, CKE Restaurants, Travelex, and Whole Foods spans 85+ countries. Who You Will Be Working With At PMG, we're a team of builders, innovators, and problem-solvers who thrive on creating what others only imagine. As a Senior Frontend Software Engineer Lead, you'll be an essential part of our AI & Software Engineering team, driving the development of Alli, PMG's cloud-based suite of AI-powered tools for digital marketers. Alli has powered campaigns that reached over 1 billion consumers across 80+ countries, delivering results for some of the world's most iconic brands. You'll collaborate with Product Managers, UX Designers, and Frontend Engineers to create intuitive, scalable, and visually stunning user-facing features. Whether you're refining our Alli UI component library, solving complex challenges, or mentoring the next generation of engineers, your work will shape how global brands connect with their audiences. If you're passionate about crafting meaningful digital experiences and contributing to technology that makes an impact, this role is for you. What You'll Be Doing • Lead the design, development, and deployment of innovative and scalable frontend features within Alli., • Drive the direction of the Alli UI component library, ensuring seamless collaboration between user experience and engineering needs., • Partner closely with the Product and UI/UX teams to create beautiful, intuitive interfaces that drive measurable business outcomes., • Ensure frontend applications are responsive, performant, and scalable to meet the demands of global brands and their users., • Foster collaboration by mentoring junior and mid-level engineers, sharing expertise, and promoting frontend development best practices., • Conduct thorough code reviews and provide actionable feedback to ensure high-quality, maintainable code across Alli., • Stay up to date with emerging technologies and industry trends, advocating for their adoption where they bring value to the platform., • 5+ years developing frontend applications with a strong focus on scalability and performance, or a related field, with a bachelor's or master's degree or equivalent experience., • 3+ years working with modern frameworks like React and Redux with expertise in integrating RESTful APIs., • A proven track record of leading multiple projects through the entire development lifecycle, including requirements gathering, design, implementation, testing, and support., • Experience mentoring and coaching engineers, fostering a culture of collaboration and growth., • Proficiency in JavaScript (ES6+), React, HTML/CSS, and tools like Webpack or Vite to build performant and responsive frontend applications., • Familiarity with AI technologies like OpenAI, Bedrock, Vertex, and LangChain, with an interest in their applications to enhance user experiences., • Experience with version control tools like Git, leveraging platforms such as GitHub and Atlassian within a Scrum framework., • Knowledge of infrastructure-as-code tools like Terraform to support streamlined deployments and robust system architectures., • Experience with tools like Grafana, Docker, AWS, and GCP for application development, monitoring, and scaling., • Professional Development: Take advantage of our learning and development programs, mentorship opportunities, and career advancement support., • Generous Time Off: Enjoy generous paid time off and holiday allowances to recharge and spend time with loved ones., • Parental Leave: We provide paid parental leave to support your family during important life events., • Retirement & Pension Plans: Plan for your future with competitive retirement or pension programs, including contribution matching., • Fertility and Family Support: Access fertility benefits for all team members and their spouses., • Healthcare: Coverage and support for everyday medical expenses and routine care, tailored by geography., • Pet Insurance: Protect your pet's health and your finances., • Lifestyle Spending Accounts: Enjoy 100% company-funded accounts to promote healthy habits and well-being., • Commuter Benefits: Access support for travel and commuting needs, where available., • Annual Bonus: All employees are eligible for an annual bonus., • Volunteering Opportunities: Receive 8 give-back hours to volunteer in your local communities., • AI Enterprise License: Access AI Enterprise accounts and participate in weekly AI training sessions to empower and ensure AI safety. Benefits vary by country, location, and geography to reflect local laws, norms, and expectations. What Sets Us Apart Being part of PMG means joining a company culture that's unmatched in digital. We're dedicated to working hard to serve our employees and clients, delivering value, results, and innovation—which often requires true grit and agility. We believe in taking care of ourselves and each other to continuously improve in every way. In alignment with our core values to be inclusive and always change for the better, PMG is committed to creating a more diverse and inclusive culture, and we are proud to be an equal opportunity employer. We believe that we only change for the better by bringing diverse perspectives to our company. PMG recruits, employs, trains, compensates, and promotes regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job Description We are PMG Named Ad Age Best Places to Work for 11 years in a row and Fast Company Best Workplaces for Innovators since 2022, PMG is a global independent marketing services and technology company that seeks to inspire people and brands that anything is possible. Driven by shared success, PMG leverages business strategy and transformation, creative, media, and insights—as well as its proprietary operating system, Alli—to deliver cutting-edge digital solutions and innovative media strategies. Our team comprises over 900 employees globally, and our work for ambitious brands like Apple, Nike, Sephora, Experian, Therabody, Best Western Hotels & Resorts, Creed Fragrances, BNY, Intuit, CKE Restaurants, Travelex, and Whole Foods spans 85+ countries. Who You Will Be Working With You'll work alongside a mix of software engineers, data scientists, and product partners who build and maintain AI-powered tools used by teams across PMG. Day to day, you'll collaborate with Engineering peers on architecture and quality, with Product on shaping what to build next, and with stakeholders who rely on these systems to make decisions and move work forward. Because this is a senior lead role, you'll also spend time coaching and influencing beyond your immediate team—supporting engineering managers, partnering with other senior technical leaders, and helping teams align on clear technical direction when the path is complex or high-stakes. This role is intended for a Lead within AI & Software Engineering. What You Will Be Doing • Lead the development of mid-to-large scale software products, guiding work from early technical direction through delivery and long-term iteration., • Design and evolve systems that are scalable, reliable, and maintainable—making thoughtful trade-offs around performance, cost, and operational support., • Turn complex problems into clear plans, helping teams move from ambiguity to decisions, and from decisions to shipped, stable software., • Set expectations for engineering quality through strong design reviews, code reviews, and practical standards that teams can follow consistently., • Use sound judgment to challenge approaches that put reliability, security, or outcomes at risk—and propose better options with clarity and respect., • Spot opportunities where a small change creates outsized impact (automation, shared tooling, simpler architecture, better developer workflows) and drive adoption., • Partner with engineering managers to strengthen team performance—offering coaching, feedback, and support on execution, collaboration, and technical growth., • Stay connected to emerging AI and software practices, bringing ideas back to the team when they can improve quality, speed, or user experience., • Use AI and automation where it meaningfully improves the work—speeding up iteration, improving testing and observability, and reducing repetitive effort., • Own the outcomes of your initiatives, ensuring the work delivers measurable value for the people and teams who depend on it.What You Will Bring, • 7+ years of backend development experience, with a strong focus on building scalable, high-performance systems, or a related field, with a bachelor's or master's degree or equivalent experience., • 3+ years working with modern backend frameworks such as Django, Flask, Spring Boot, or Express.js., • Proven experience designing and integrating RESTful APIs and microservices architectures., • Hands-on experience working across all stages of software development, including requirements, design, coding, testing, implementation, and support., • 3+ years of experience leading and mentoring other engineers to achieve technical excellence., • Proficiency in backend languages like Python, Node.js, or Go, with a focus on clean and maintainable code., • Advanced skills in working with databases such as PostgreSQL, MongoDB, Redis, or MySQL, including query optimization and schema design., • Familiarity with AI technologies like OpenAI, Bedrock, Vertex, and LangChain to explore and implement innovative backend solutions., • Experience with version control tools like Git and CI/CD pipelines to automate testing and deployments., • Knowledge of infrastructure-as-code tools such as Terraform or Ansible to manage infrastructure efficiently., • Hands-on experience with containerization tools like Docker and Kubernetes for deploying and managing distributed systems., • Strong expertise in monitoring tools such as Grafana, Prometheus, Datadog or ELK Stack for performance optimization and issue resolution., • Strong written and verbal communication skills to collaborate effectively across cross-functional teams., • A proactive, solution-oriented mindset with a passion for creating reliable and impactful backend systems., • Interest or familiarity with the digital marketing industry and its backend solutions., • Experience working with large language models (LLMs) or AI-driven backend tools., • A commitment to curiosity and adaptability as a continual learner, staying at the forefront of media innovation while prioritizing client success with a customer-focused mindset that seeks opportunities to deliver meaningful value., • Professional Development: Take advantage of our learning and development programs, mentorship opportunities, and career advancement support., • Generous Time Off: Enjoy generous paid time off and holiday allowances to recharge and spend time with loved ones., • Parental Leave: We provide paid parental leave to support your family during important life events., • Retirement & Pension Plans: Plan for your future with competitive retirement or pension programs, including contribution matching., • Fertility and Family Support: Access fertility benefits for all team members and their spouses., • Healthcare: Coverage and support for everyday medical expenses and routine care, tailored by geography., • Pet Insurance: Protect your pet's health and your finances., • Lifestyle Spending Accounts: Enjoy 100% company-funded accounts to promote healthy habits and well-being., • Commuter Benefits: Access support for travel and commuting needs, where available., • Annual Bonus: All employees are eligible for an annual bonus., • Volunteering Opportunities: Receive 8 give-back hours to volunteer in your local communities., • AI Enterprise License: Access AI Enterprise accounts and participate in weekly AI training sessions to empower and ensure AI safety. Benefits vary by country, location, and geography to reflect local laws, norms, and expectations. What Sets Us Apart Being part of PMG means joining a company culture that's unmatched in digital. We're dedicated to working hard to serve our employees and clients, delivering value, results, and innovation—which often requires true grit and agility. We believe in taking care of ourselves and each other to continuously improve in every way. In alignment with our core values to be inclusive and always change for the better, PMG is committed to creating a more diverse and inclusive culture, and we are proud to be an equal opportunity employer. We believe that we only change for the better by bringing diverse perspectives to our company. PMG recruits, employs, trains, compensates, and promotes regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job Description Upbound is redefining how modern infrastructure is built for the Agentic AI Era. We're the creators and primary maintainers of Crossplane, and we're building the Intelligent Control Plane—a new platform layer that makes infrastructure programmable, autonomous, and composable. Our mission is to power the AI-native enterprise with a foundational platform layer that helps teams provision, operate, and adapt infrastructure at scale—so platforms are ready for both humans and AI agents. We partner with leading cloud providers, ISVs, and open-source communities to help organizations move faster with greater confidence. Today, Upbound supports Fortune 500 companies and platform engineers across 100+ countries. Crossplane has surpassed 100M+ downloads and is used by 1,000+ teams worldwide. We're a Series B company backed by GV (formerly Google Ventures), Altimeter Capital, and Intel Capital, and we've raised $69M to date. Learn more at upbound.io. Upbound is hiring a Senior Software Engineer to help us build and operate Upbound Spaces, the multiple control plane management software at the heart of the Upbound Platform. As part of the Spaces team, you will help us scale Upbound to reliably support thousands of control planes, while also extending enterprise control plane management and operations both in the cloud and on premises. Our team is expanding, and this is the perfect opportunity for you to make a significant engineering impact in both development and production operations. What You'll Do • Actively build and operate Upbound Spaces in production, troubleshooting and resolving issues across multi-tenant SaaS environments, as well as contributing to Upbound's open-source projects, including Crossplane., • Take ownership of building features in high demand by Upbound's customers and deliver new functionality that will delight and amaze our users., • Investigate and debug complex issues in customer environments, including multi-control plane scenarios, resource reconciliation problems, and performance bottlenecks., • Communicate through thoughtful and thorough design documents for new initiatives and detailed post-incident reviews that drive system improvements., • Support the full project lifecycle for highly scalable and reliable services running in a cloud environment – discovery, analysis, architecture, design, review, documentation, building, migration, automation, deployment, production-readiness, and ongoing operational support., • Write and maintain Go code that interfaces with the Kubernetes API, such as operators, controllers, add-ons, etc., with a focus on observability, debuggability, and operational excellence., • Deploy, manage, and troubleshoot our Kubernetes services in production, using metrics, logs, and traces to identify and resolve issues quickly., • Build and maintain operational tooling for debugging customer environments, analyzing control plane health, and automating incident response., • Author documentation, user guides, runbooks, and blog posts to support and promote new features that you release., • Support the software release cycle for Spaces self-hosted distributions, including diagnosing issues in customer-managed deployments., • Participate in on-call rotation to support Upbound Cloud, responding to incidents and driving them to resolution.What You'll Bring, • Have experience operating production cloud services at scale: monitoring, alerting, incident response, post-mortems, and continuous improvement of service reliability., • Have strong debugging skills across distributed systems, including experience with observability tools (Prometheus, Grafana, OpenTelemetry, distributed tracing) and techniques for diagnosing issues in production environments., • Have experience building and operating controllers that interact with the Kubernetes API server, including troubleshooting reconciliation loops, managing API rate limits, and optimizing controller performance., • Are comfortable working directly with customers to understand, reproduce, and resolve complex technical issues in their environments., • Take responsibility and ownership for solving problems even if they are outside your lane, especially during incidents affecting customer workloads., • Demonstrate excellence in your work, constantly trying to improve your skills and the operational posture of the systems you build., • Have empathy for customers and keep them in mind as you build solutions, understanding that reliability and debuggability are features., • Realize the importance of clear communication and effective collaboration to work as a team, deliver great results, and support customers through technical challenges., • Help create a safe environment where everyone can contribute, learn from failures, share on-call knowledge, and help each other grow as operators and engineers. #LI-REMOTE Why Upbound? At Upbound, you'll help shape the systems and strategies that drive predictable, scalable growth in a product-led company embracing usage-based models. If you're excited to build from the ground up, work with cutting-edge cloud technologies, and directly impact how revenue is generated and scaled—this is your seat at the table. About Upbound Upbound is pioneering infrastructure platforms for the Agentic AI Era, serving Fortune 500 companies and platform engineers across more than 100 countries. The company empowers infrastructure and platform teams with Intelligent Control Planes - based on Kubernetes and Crossplane - that provision, operate, and adapt so platforms are ready for both humans and AI agents. Upbound is the creator and primary maintainer of Crossplane, the popular open-source framework for building cloud-native control planes, with over 100 million downloads and adoption by more than 1,000 teams worldwide. A Series B startup backed by GV (formerly Google Ventures), Altimeter Capital, and Intel Capital, Upbound has raised $69M to date. For more information, visit .

Job Description About Aspira For forty years, Aspira has been the market-leading software and services provider for the great outdoors, primarily for state and provincial parks and wildlife agencies. As part of our constant evolution, we're executing an aggressive multi-year transformation to accelerate revenue growth, optimize cost structures, and maximize shareholder value while expanding our market position. The leadership team has reset the company's core values to drive our transformation: Customer Obsession, Forward Momentum, One Team One Dream, Radical Transparency, Win with Integrity, and Excellence guide everything we do. The Ideal Candidate Staff Software Engineer is a senior leader on the team, contributing to the design, development, and maintenance of scalable, high-quality software systems. Staff Engineers work closely with lead and junior engineers, product teams, and QA to build and support robust .NET web applications on AWS. Will participate in core engineering efforts including feature development, performance optimization, and cloud infrastructure improvements—helping deliver secure, reliable solutions aligned with business goals. Key Responsibilities • Design, develop, and deploy reliable, maintainable software features in line with project requirements., • Collaborate with team members and cross-functional partners to deliver high-quality web applications., • Responsible for designing, developing, testing, and maintaining scalable web applications and services using C#, .NET Core, and related Microsoft technologies, • Participate in code reviews to promote code quality, consistency, and scalability., • Help monitor, maintain, and improve system infrastructure performance in cloud environments (primarily AWS)., • Contribute to technical planning and sprint execution within an Agile development team., • Assist in preparing the system for high-load events and troubleshooting performance bottlenecks., • Ensure compliance with security policies and data protection standards., • 12-15 years of professional experience in software development., • 10+ years of experience in .NET development., • Strong proficiency full stack development with backend .NET technologies (C# and .Net Core)., • 10+ years of experience with WCF, REST APIs, and distributed systems., • Experience with modern frontend technologies (HTML5, CSS3, JavaScript and React.js. Other modern frameworks such as AngularJS will also be considered)., • Solid experience with SQL Server, writing efficient and highly optimized stored procedures and database functions., • Proven experience with to SQL optimization and relational database performance tuning., • Experience developing and maintaining web applications hosted on AWS with a focus on EC2 and S3., • Experience with programming tools (Github, Visual Studio etc.) and CI/CD pipelines (e.g., Jenkins, Github CI/CD) and DevOps automation concepts., • Solid understanding of secure coding practices. PCI-DSS exposure is a huge plus., • Strong debugging, problem-solving, and communication and technical documentation skills., • Working knowledge of AWS services such as Lambda, S3, EC2, API Gateway, and RDS., • Experience with infrastructure monitoring tools like New Relic, Grafana, or the ELK stack., • Understanding of Agile methodologies (Scrum, Kanban)., • Exposure to SSRS reporting, • Bachelor's degree in computer science, information technology, engineering, or a related technical field (or equivalent experience)., • Previous experience working on a development team with customer-facing systems.

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Driving with Uber is an alternative to a part-time or full-time job and can get you earning cash on the road quickly.Driving with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can

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