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Shape a remarkable future with us. Build a career working for an industry leader that truly invests in their people – and equips them with leading technology, continuous learning, and the ability to bring their best selves to work. As North America's largest total beverage distributor, Southern Glazer’s isn't just one of Forbes’ Top Private Companies; it's a family-owned business with deep roots dating back to 1933. Southern Glazer’s is proud of its well-earned positive reputation, continually achieving accolades for our outstanding workplace culture. We take pride in creating a culture where our people are valued, supported, and provided opportunities for growth and belonging. As a full-time employee, you can choose from a wide-ranging menu of our Top Shelf Benefits, including comprehensive medical and prescription drug coverage, dental and vision plans, tax-saving Flexible Spending Accounts, disability coverage, life insurance plans, and a 401(k) plan. We also offer tuition assistance, a wellness program, parental leave, vacation accrual, paid sick leave, and more. By joining Southern Glazer’s, you would be part of a team that values excellence, innovation, and community. This is more than just a job – it's an opportunity to build the future of beverage distribution and grow with a company that truly cares about its people. The Staff Databricks Platform Engineer owns the engineering of Southern Glazer's Databricks lakehouse as a product: the workspaces, governance model, compute fabric, and automation that every data engineering, analytics, and AI/ML team at SGWS builds on. This is a platform role, not a pipeline role — success is measured by the reliability, security, cost efficiency, and developer velocity of the platform itself, rather than by the number of datasets delivered. The role sets the standards other engineers follow: how workspaces and catalogs are structured, how entitlements are granted and audited, how workloads are deployed and promoted, and how compute spend is controlled. It operates with significant autonomy, partners directly with Enterprise Architecture, Security, and Cloud Infrastructure, and mentors engineers across the Data & AI Platforms organization. • Own the design and operation of the Databricks platform across environments — workspace topology, account-level configuration, metastore design, and workspace-to-cloud networking., • Design and enforce the Unity Catalog governance model: catalog and schema hierarchy, group-based entitlements, service principal patterns, row- and column-level security, dynamic views, and audit logging., • Build platform automation as code — Terraform and the Databricks provider, asset bundles, and CI/CD pipelines that provision workspaces, clusters, policies, jobs, and permissions without manual intervention., • Define and maintain cluster policies, instance pools, serverless configuration, and SQL warehouse sizing standards that balance performance against cost., • Own Databricks FinOps: attribute consumption by team and workload through tagging and system tables, set budgets and alerts, identify optimization targets, and drive spend reductions without degrading SLAs., • Engineer secure connectivity and data protection — private endpoints, customer-managed keys, secret scopes, credential passthrough, and secure integration with AWS, Azure, and on-prem sources., • Design and operate Delta Sharing and cross-workspace data access patterns for internal consumers and external partners., • Build platform observability: monitoring of job reliability, cluster health, query performance, and system table analytics, with alerting routed to the right owners., • Establish the golden paths for platform consumers — reference architectures, reusable frameworks, onboarding automation, and paved-road patterns for ingestion, transformation, and ML workloads., • Lead platform upgrades and runtime migrations, including impact assessment, regression testing, and coordinated rollout across consuming teams., • Serve as the escalation point for complex platform incidents; lead root cause analysis and drive permanent corrective action., • Review designs and code from engineers across teams, and mentor junior and mid-level engineers on lakehouse, governance, and automation practices., • Partner with Databricks account and support teams on roadmap alignment, feature adoption, contract consumption, and escalations., • Maintain platform documentation, standards, and runbooks, and communicate platform changes, capabilities, and risks to technical teams and leadership., • Ensure the collected data is within required quality standards., • Troubleshoot data analytic tools, systems, and software., • Identify and resolve production and/or development problems that relate to the use of the database management systems., • Resolve moderately complex conflicts between models and ensure data model consistency across SGWS (e.g., entity names, relationships, and definitions)., • Develop and maintain a query library to support data requests., • Document and review models, solutions, and implementations (e.g., Data Mapping, Technical Specifications, Production Support, Data Dictionaries, Test Cases, etc.)., • Create custom software components and analytics applications., • Bachelor's or Master's degree in Computer Science, Software Engineering, Information Systems, or a related field, or an equivalent combination of education and work experience., • Typically 8+ years in data engineering, platform engineering, or cloud infrastructure, including 3+ years hands-on with Databricks in a production enterprise environment., • Demonstrated ownership of a shared data platform used by multiple engineering or analytics teams — not solely project-based pipeline delivery., • Deep working knowledge of Unity Catalog, Delta Lake internals, Apache Spark performance tuning, and Databricks Workflows., • Strong Python and SQL, with production experience in infrastructure as code (Terraform preferred) and CI/CD automation., • Hands-on cloud experience in AWS or Azure covering identity, networking, storage, and key management., • Proven experience managing platform cost and capacity at enterprise scale., • Strong verbal, written, and facilitation skills, with the ability to communicate technical trade-offs to engineering teams, business stakeholders, and executive leadership., • Strong experience in DevOps and Agile technology environments., • Proven ability to lead cross-functional technical initiatives and mentor other engineers., • Physical demands include a considerable amount of time sitting and typing/keyboarding, using a computer (e.g., keyboard, mouse, and monitor), or adding machine, • Physical demands with activity or condition may include walking, bending, reaching, standing, squatting, and stooping, • May require occasional lifting/lowering, pushing, carrying, or pulling up to 20lbs Southern Glazer's Wine and Spirits, an Affirmative Action/EEO employer, prohibits discrimination and harassment of any type and provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. SGWS complies with all federal, state and local laws concerning consideration of a qualified applicant's arrest and/or criminal conviction records. Southern Glazer's Wine and Spirits provides competitive compensation based on estimated performance level consistent with the past relevant experience, knowledge, skills, abilities and education of employees. Unless otherwise expressly stated, any pay ranges posted here are estimates from outside of Southern Glazer's Wine and Spirits and do not reflect Southern Glazer's pay bands or ranges. If you have any questions or concerns about whether this posting complies/adheres with local pay transparency requirements, please contact the SGWS talent acquisition team at NationalTA@sgws.com

Job Description About Energy Exemplar In an era where the world is rapidly advancing towards a cleaner future through decarbonization, Energy Exemplar's mission lies in 'Empowering Transformative Energy Decisions'. Founded in 1999 in Adelaide, Australia, our award-winning software portfolio encompassing the modeling and simulation platform PLEXOS®, Aurora, and Adapt2, is trusted by innovative organizations across the globe. Through our technology and people, we strive to enable stakeholders from across the entire energy value chain to revolutionize the energy ecosystem and to collaboratively plan and execute for a sustainable energy future with unprecedented clarity, speed, and innovation. Our impact is global and is being recognized across the industry. Some of our recent accolades include: • SaaS Company of the Year (2025) – Global Business Tech Awards., • Environmental Impact Award (2025) – E+E Leaders Awards., • IPPAI (Independent Power Producers Association of India) Power Awards (2025) - Winners, • Finalist: Platts Global Energy Awards (2024) – Grid Edge category, • Finalist: Reuters Global Energy Transition Awards (2024) – Technologies of Change, • Top 50 Marketing Team (2024) – Voted by the public at the ICON Awards. How We Work Energy Exemplar is growing fast around 30% year on year and, that growth is driven by how we work. We trust our team to deliver great results from wherever they work best, whether that's at home, in the office, or on the move. We're a global team that values ownership, integrity, and innovation. You'll be supported to balance work and life in a way that works for you, and empowered to take initiative, solve problems, and make an impact, regardless of your background, location, or role. Our four core values, Customer Success, One Global Team, Integrity & Ownership, and Innovation Excellence aren't just words. They show up in how we collaborate, how we solve, and how we grow together. About the Position The Senior Energy Market Analyst, part of the Americas – Data and Insights team, will support Energy Exemplar's growth in North America by identifying customer use cases, shaping go-to-market strategies, and providing thought leadership. Acting as a subject matter expert, they will understand customer challenges, propose solutions and develop products using Energy Exemplar tools and dataset. The role is heavily focused on modelling, requiring expertise in energy market fundamentals. The analyst will build and oversee production of energy market models using PLEXOS. Candidates should have strong modelling skills, fundamental nodal modelling experience, customer engagement abilities, and a proactive, adaptable mindset. • Hands on modeling experience in several ISOs (eg ERCOT), • Experience with nodal power flow modeling and ability to discuss nodal concept such as LMPs, congestion, contingencies, LODF, etc., • Self-Starter and ability to work independently, • 7+ years of experience with direct Energy Modeling and Power Market Analysis, • Excellent analytical and problem-solving skills with the ability to research and learn new techniques, • Experience in creating and analyzing energy data sets for power models, • Production cost market modeling knowledge and experience, • Experience with nodal market modeling is required, • Experience working at a market operator, project developer, trading firm, consultancy or at a utility in planning, transmission or commercial operations would be an asset, • Knowledge of one or more energy economic modeling tools: PLEXOS, Aurora, PROMOD, PSO, MarketAnalytics and/or PROSYM, • Strong organizational skills, • Expert skills using Excel, Power BI and similar tools, • Experience with Python a plus. Candidate Requirements & Qualifications • Foundational knowledge of energy markets & associated economics, • Ability to communicate complex subject matter in an easy-to-understand manner, • Strong commercial awareness, • Top-down approach to problem solving – ability to see the big picture, • Strong interpersonal presence and skills - demonstrated ability to build rapport, • Excellent verbal and written communications skills, • Strong listening and presentation skills, • Ability to multi-task, prioritize, and manage time effectively, • Self-driven, results-orientated with a positive outlook and a focus on quality, • Thorough knowledge of standard Microsoft programs – Word, Excel, PowerPoint, • Ability to manage multiple competing priorities, • Sense of urgency for goal achievement, • Strong desire for personal and career advancement, • Four-year degree in Economics (preferred), Electric Engineering (Power Systems preferred), or Mathematics, • Master's degree or Ph.D. is preferred, • Prior experience in building fundamental energy market models, • Knowledge of PLEXOS or other mathematically based optimization tools Energy Exemplar is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all team members. We welcome applications from people of all backgrounds, experiences, identities, and abilities. Please let us know if you require accommodations at any stage of the recruitment process—we're here to support you in showcasing your full potential. Energy Exemplar respects your privacy and is committed to protecting the personal data you share during the recruitment process. This Candidate Privacy Notice explains how we collect, use, and protect your personal information when you apply for a role with us.

Job Description Waabi, 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: www.waabi.ai You will.. • Build and evolve our training infrastructure on Kubernetes with Infrastructure — GPU scheduling, autoscaling, multi-node distributed jobs, capacity strategy, and the operators and workflow engines that keep long-running training reliable., • Shape the developer-facing surface — CLIs, SDKs, job submission, templates, paved paths — designed with the teams who'll use them. Make the common case one command and keep the uncommon case possible., • Shorten the inner loop. Time to first training run, edit-to-signal latency, local iteration before a job hits the cluster, fast failure over slow mystery. Measure it, publish it, drive it down., • Evangelize best-in-class tooling and frameworks. Track what the ecosystem is shipping, evaluate honestly, and make the case with working prototypes and migration paths — or say plainly when a shiny thing isn't worth the switching cost., • Strengthen the data and artifact layer. Dataset versioning, sharding, and high-throughput loading of large multimodal sensor data, so jobs saturate GPUs instead of waiting on I/O., • Turn one-off Python into durable tooling — tested, documented, observable libraries, CLIs, and services with sane defaults, and deletions where they're overdue., • Make experiments legible, with the teams who live in them: experiment hygiene, dashboards researchers trust, a real model registry, and lineage from dataset to checkpoint to simulation result., • Ship CI/CD for models alongside autonomy and simulation, so a model change is validated the same way a code change is., • Build observability across the ML stack — utilization, throughput, failure modes, queue times, cost per experiment. When a job fails at 3am on node 47, the researcher should find out why without you., • Treat docs, onboarding, and support as product surface — golden-path guides, a new researcher productive on day two, office hours that turn repeat questions into shipped fixes., • Drive adoption, not just availability. Prototype with real users, watch them work, iterate. A tool nobody adopts didn't ship., • Make the platform boringly reliable — fewer failures, faster recovery, and none of the manual steps that quietly cost a team days., • Build guardrails that don't feel like walls, with Security, IT, and Infrastructure: access controls, data handling, and cost governance that hold up in an IP-sensitive environment while staying self-serve. Qualifications:, • 5+ years of software or infrastructure engineering, including tools or platforms used by other engineers and operating ML or data-intensive production systems., • Hands-on Kubernetes expertise — GPU scheduling, autoscaling, Helm or equivalent, networking fundamentals, and the ability to debug a cluster under load rather than restart it., • Excellent Python, and a track record of designing APIs and CLIs other people enjoy using. Practical AWS depth: object storage at scale, IAM, GPU compute, networking, cost management, and infrastructure as code (Terraform, Pulumi, or similar). • Distributed training in PyTorch (DDP, FSDP, or similar), plus experiment tracking and model registry tooling — from the perspective of someone who made them pleasant for others to use., • Fluency with containers, CI/CD, and modern build systems, including large monorepos., • The ability to influence without authority: evaluate a framework on its merits, pilot it credibly, and persuade skeptical senior engineers to change how they work., • A collaborative default — you'd rather co-own a system than draw a boundary around your part of it., • User empathy: you'd rather fix the third-most-interesting problem blocking ten people than the most interesting one blocking nobody., • Strong product instincts, strong writing, and comfort operating autonomously in ambiguous territory., • Passionate about self-driving technologies and frontier AI, and about what a small, world-class team can do with the right infrastructure. Bonus/nice to have:, • Internal developer platform, research platform, or DevEx work — with a story about a tool whose adoption you grew from zero., • Large-scale distributed GPU training: hundreds to thousands of accelerators, NCCL, high-performance cluster networking, collective communication tuning., • High-throughput loading of LiDAR or camera data, and formats such as Parquet or WebDataset., • Workflow and scheduling systems — Argo Workflows, Ray, Flyte, Kubeflow, or Slurm., • Build-system depth (Bazel or similar), including remote caching in a monorepo., • Simulation infrastructure or large-scale batch evaluation pipelines., • Background in ML, robotics, or autonomous systems infrastructure., • Security- and IP-sensitive production environments., • Open-source contributions to ML infrastructure or developer tools. The US yearly salary range for this role is: $184,000 - $272,000 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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 About LogicGate LogicGate is the leading AI GRC platform for the Enterprise, helping governance, risk, and compliance teams limit surprises, strengthen resilience, augment program performance, and confidently quantify impact and business value. Built to provide a centralized view of risk and compliance, with AI intelligence woven into the platform's core, LogicGate delivers real-time insights and actionable data to help drive current business decisions, with the flexibility to scale alongside evolving business needs. Recognized as a Leader in the GRC Market, LogicGate continues to further solidify its position as a best-in-class platform. The GRC Market Governance, Risk, and Compliance (GRC) is a rapidly expanding sector, with a global market size projected to reach $104.5 billion by 2031. LogicGate is at the forefront of this industry transformation, empowering enterprise professionals to navigate complex regulatory environments, manage critical uncertainty, and operate with integrity at scale. Senior Software Engineer: PlatformAbout the Role As a Senior Software Engineer: Platform, you will design and scale the foundational APIs and backend services powering LogicGate's Risk Cloud platform. As enterprise GRC demands expand, you will tackle critical system bottlenecks, optimize cloud data stores, and ensure high-availability multi-tenant reliability. Working in Java/Kotlin, Spring Boot, and AWS, you will solve complex architectural challenges while elevating technical standards across the engineering chapter. In this role, your technical leadership will directly ensure our platform remains scalable, resilient, and performant. What You'll Do • System & Data Architecture: Design and build high-throughput backend services, core platform APIs, and distributed data stores using Java, Kotlin, Spring Boot, Neo4j, Redis, PostgreSQL, and RabbitMQ to expand multi-tenant Risk Cloud capabilities., • Quality & Continuous Delivery: Write robust unit, integration, and service-level tests while partnering with DevOps to evolve cloud infrastructure and automated CI/CD pipelines (AWS, Terraform, Docker, GitLab CI)., • Observability & Optimization: Monitor operational metrics, tracing, and alerts in Datadog to proactively diagnose system bottlenecks, optimize database query performance, and ensure platform health., • Cross-Functional Leadership: Facilitate technical design reviews, decompose complex epics alongside Product and Design teams, and mentor engineers across squads to elevate code quality and execution., • AI Workflow Efficiency: Leverage AI coding assistants, LLMs, and modern developer automation tools to streamline engineering workflows, refactor legacy patterns, and accelerate feature delivery velocity. What You BringRequired: • Backend Expertise: 5+ years of professional software engineering experience developing enterprise backend systems using Java, Kotlin, or comparable JVM languages with Spring Boot., • Distributed & Cloud Systems: Proven track record of designing, deploying, and maintaining high-scale distributed systems and RESTful APIs in an AWS cloud-native environment., • Data & Storage Proficiency: Strong hands-on experience with relational or non-relational databases, caching mechanisms, and asynchronous message brokers (e.g., PostgreSQL, Neo4j, Redis, RabbitMQ)., • Testing & Quality First: Deep commitment to modern testing practices across the testing pyramid, treating test automation as an essential component of shipping software., • AI Literacy & Agentic Tooling: Demonstrated curiosity and practical experience leveraging modern AI coding tools, LLMs, or AI agents (e.g., custom developer tools, agentic workflows, or automated assistants) to enhance problem-solving, code quality, and engineering velocity., • Distributed Work & Team Engagement: Thrives in a remote, highly collaborative engineering culture with willingness to attend occasional department onsites and company events.Nice to Have:, • LogicGate Tech Stack: Direct hands-on experience with LogicGate's tech stack: Java, Kotlin, Python, Spring Boot, Neo4j, Redis, RabbitMQ, Docker, Terraform, and GitLab CI., • Architecture Knowledge: Familiarity with graph database modeling, event-driven architectures, or multi-tenant SaaS application design., • Full-Stack & SDLC Leadership: Brings a holistic perspective to the software development life cycle - combining deep backend expertise with a desire to work across the stack, optimize CI/CD pipelines, and apply infrastructure-as-code (IaC) best practices. The anticipated base salary range for the role is $125,000 - $165,000 per year + variable + equity + benefits. Actual salaries may vary and will be based on factors such as the candidate's qualifications, skills, competencies, and proficiency for the role. Internal candidates who have current pay within or above the hiring range are still encouraged to apply if interested. How We Work At LogicGate, we empower organizations to transform risk into a strategic advantage. As we continue to scale, we are looking for driven, high-performing individuals who are ready to take ownership, raise the bar, and do the best work of their careers. Our culture is built on execution, collaboration, and a shared commitment to excellence. We believe the strongest, most innovative teams are forged by diverse perspectives. We are dedicated to fostering an inclusive environment where differences are celebrated and supported. Global Total Rewards We invest in our people with a comprehensive and competitive rewards package designed to support our team members across the US and the UK: • Compensation & Equity: Competitive base salaries, variable compensation plans, and equity options., • Health & Wellbeing: Comprehensive health, wellness, and lifestyle benefits tailored to your region., • Time Away: Generous paid time off and annual company holidays so you can recharge and return at your best., • Growth & Development: Continuous career advancement through structured mentorship, leadership training, and premium learning platforms. Recognized as a top workplace by Built In, Crain's Chicago Business, and the Chicago Tribune.

Job Description Senior DevOps Engineer Dallas, TX | On-site | Local DFW candidates required About the Role We are looking for a Senior DevOps Engineer who lives and breathes build and release management. You'll own the path from commit to production for our .NET services on Azure Kubernetes Service (AKS), designing pipelines that make trunk-based development safe, fast, and reliable. This hands-on, in-office Dallas role partners directly with development teams. Our release footprint spans Azure DevOps and GitHub Actions. You'll improve both ecosystems, consolidate where practical, and make frequent deployments routine. What You'll Do • Own CI/CD pipeline design, implementation, and improvement in Azure DevOps and GitHub Actions for .NET applications and services., • Drive trunk-based development: short-lived branches, fast pull-request validation, feature flags, and continuous integration into main., • Build progressive delivery patterns (blue/green, canary, and ring-based AKS rollouts) with automated rollback on failed health gates., • Define release standards for versioning, tagging, artifact promotion, release notes automation, and change tracking., • Reduce build times and flaky tests; measure reliability and developer feedback loops using SLOs., • Manage Docker builds and Azure Container Registry image lifecycles, including secure base images, caching, and multi-stage optimization., • Maintain infrastructure as code with Bicep and/or Terraform, Helm charts, and Kustomize overlays to ensure reproducibility and visibility into drift., • Embed supply-chain security into pipelines: SAST/DAST, dependency/container scans, SBOMs, artifact signing, provenance, and policy-as-code., • Manage secrets and identity with Azure Key Vault, workload identity, and OIDC federation; eliminate long-lived pipeline credentials., • Instrument releases with health signals, DORA metrics (lead time, deployment frequency, change failure rate, MTTR), and dashboards/alerts using Azure Monitor, Application Insights, Prometheus, or Grafana., • Partner with developers to unblock delivery, review pipeline changes, and coach strong engineering practices., • Participate in on-call response for platform and delivery systems, facilitate blameless postmortems, and drive follow-through. Required Qualifications • 5+ years in DevOps, platform, or release engineering, with significant ownership of build and release systems., • Deep hands-on expertise with Azure DevOps Pipelines and GitHub Actions: YAML, templates, reusable workflows, self-hosted agents/runners, environments, and approvals., • Strong Azure expertise in AKS, Container Registry, Key Vault, Entra ID/managed identity, networking, and resource governance., • Production Kubernetes experience with deployments, services, ingress, autoscaling, resource tuning, and incident troubleshooting., • Knowledge of .NET build and packaging: MSBuild, dotnet CLI, NuGet feeds/versioning, and multi-service solution builds., • Proven implementation of trunk-based development, branching policies, merge queues, feature flags, and keeping main releasable., • Infrastructure as code using Bicep, ARM, or Terraform, plus Helm., • Scripting and tooling with PowerShell, Bash, and/or Python., • Working knowledge of software supply-chain security and secure CI/CD secret handling., • Strong written and verbal communication; ability to document decisions and explain engineering tradeoffs., • Must be local to the Dallas-Fort Worth area and able to work in the Dallas office. Preferred Qualifications • Experience migrating between or operating Azure DevOps and GitHub at scale., • GitOps with Argo CD or Flux; service mesh (Istio/Linkerd) or advanced AKS networking., • Policy-as-code with OPA/Gatekeeper or Azure Policy., • Experience with SOC 2, PCI, HIPAA, or similarly regulated/audited environments., • Database deployment automation with EF Core migrations, DACPAC, Flyway, or Liquibase., • Performance/load testing embedded in pipelines., • Azure AZ-400 or AZ-104, or Kubernetes CKA/CKAD certifications. How We Work Trunk-based development, small batches, frequent deployments. We value automation over manual process, measurable improvements, and shared ownership over handoffs. #zr #ind1

Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. The Hivemind Solutions Perception team develops the next generation of perception capabilities for autonomous systems by combining state-of-the-art machine learning with the proven foundations of computer vision. The team advances how autonomous platforms understand and interpret the world by developing vision, vision-language (VLM), and vision-language-action (VLA) models that tackle core perception challenges such as object understanding, scene interpretation, and mission-relevant environmental awareness. Working at the intersection of research and production, our engineers build the data pipelines, supervised fine-tuning (SFT) workflows, evaluation frameworks, and deployment infrastructure needed to transform cutting-edge AI research into reliable, mission-ready perception capabilities. In this role, you'll lead the technical development of advanced machine learning solutions that define the future of perception for autonomous systems. You'll own the team's most challenging technical problems, drive architecture and model development across multiple efforts, and influence how foundation models are adapted, evaluated, and deployed for real-world autonomy. Working closely with researchers, perception engineers, autonomy engineers, and platform teams, you'll bridge cutting-edge AI research with scalable production systems while mentoring engineers and raising the technical bar across the organization. What You'll Do: Model Development – Design, train, fine-tune, and maintain state-of-the-art vision, vision-language, and vision-language-action models that improve perception and decision-making for autonomous systems. Data Pipelines & Model Training – Build scalable data pipelines, supervised fine-tuning (SFT) workflows, and evaluation loops that continuously improve model performance on mission-relevant tasks. Model Deployment & Optimization – Deploy and optimize machine learning models for embedded hardware using technologies such as ONNX, TensorRT, and hardware-accelerated inference frameworks. Perception & Autonomy Applications – Apply modern machine learning techniques to solve challenging perception and autonomy problems across aerial and other autonomous systems operating in complex, real-world environments. Research-to-Production – Translate cutting-edge machine learning research into production-ready capabilities by balancing model performance, robustness, computational efficiency, and operational reliability. Cross-functional Collaboration – Partner closely with perception, autonomy, platform, and software engineering teams to integrate machine learning capabilities into mission-ready autonomous systems. Model Evaluation & Validation – Develop benchmarks, testing methodologies, and evaluation frameworks to measure model performance, identify failure modes, and guide future improvements. Continuous Improvement – Improve training infrastructure, developer tooling, deployment workflows, and model lifecycle management to accelerate experimentation and production delivery. Required Qualifications: Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience. Expertise of machine learning fundamentals. Experience training an deploying ML models for computer vision in a production setting. Strong understanding of 3D vision problems/algorithms. Experience with machine learning frameworks such as PyTorch and TensorFlow. Demonstrated expertise in deploying models using TensorRT and ONNX. Proficiency in C++ and Python. Strong analytical and problem-solving skills, with the ability to translate research into practical applications. • Ability to obtain a SECRET clearance Preferred Qualifications: Experience with developing autonomous systems for defense customers. Experience with training/finetuning vision-language models, vision-language-action models, and/or world models. Contributions to open-source projects in machine learning or computer vision. Track record of publications in leading computer vision and robotics conferences and journals (e.g., CVPR, ICCV/ECCV, RAL, ICRA). #LI-DS-1 #LD Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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 Job Title: Machine Learning Developer Location (city, state): Dallas, Texas - onstie 5x a week Assignment Type: Direct Hire Pay: $115,000–$140,000 annually, plus a short-term incentive and long-term incentive. Benefits: This position is eligible for medical, dental, vision, and 401(k). The company offers fully paid family benefits, a generous 401(k) match, and a competitive paid-time-off program. Our client is a well-established energy organization with significant operations in the Permian Basin. The company is expanding its artificial intelligence and machine learning capabilities and offers a collaborative environment where employees are trusted to take ownership, contribute ideas, and influence technical direction. We are seeking a Machine Learning Developer to serve as the first dedicated ML engineering professional within a newly established AI/ML function. This individual will create the MLOps framework, development standards, and platform foundation needed to move machine learning models from experimentation into secure, reliable production environments. This is a hands-on individual contributor role with significant influence over the organization’s future machine learning strategy. The successful candidate will be comfortable setting technical direction, recommending new approaches, and performing the detailed engineering work required to implement those recommendations. This opportunity is ideal for someone who enjoys building programs from the ground up and working in a fast-moving, entrepreneurial environment. Key Responsibilities: • Develop the organization’s MLOps strategy, technical standards, reusable workflows, and preferred process for moving models into production., • Build and support machine learning solutions within the Databricks environment., • Collaborate with data scientists to deploy models using tools such as MLflow, AutoML, Unity Catalog, and Databricks Model Serving., • Create automated CI/CD processes for model training, deployment, testing, and promotion between environments., • Manage the full model lifecycle, including experiment tracking, model registration, version control, lineage, governance, and user access., • Implement monitoring and validation processes for production models, features, and source data., • Establish operational visibility for ML systems and assist with troubleshooting and production support when issues arise., • Develop standards for data quality, feature reliability, schema validation, and data version management., • Produce technical documentation, reference designs, reusable templates, and engineering playbooks., • Lead code reviews and share best practices with data science and engineering professionals., • Work with business leaders, data scientists, data engineers, and IT teams to define requirements and encourage adoption of shared ML frameworks., • Research emerging technologies and recommend enhancements to machine learning delivery, including GenAI, agent-based systems, and AI-assisted development tools., • Present technical recommendations to stakeholders and confidently explain or defend a position when viewpoints differ. Qualifications: • Bachelor’s degree in computer science, data science, engineering, mathematics, statistics, or a related discipline is required., • Three to five years of experience developing, deploying, or supporting machine learning or data-intensive production systems is preferred; candidates with more advanced experience are also encouraged to apply., • Hands-on experience with Databricks MLflow and AutoML is required., • Advanced Python skills with the ability to create clean, tested, and maintainable production code., • Strong SQL capabilities and familiarity with Spark or another distributed data-processing technology., • Experience implementing or supporting MLOps practices such as automated pipelines, model deployment, production monitoring, and lifecycle governance., • Knowledge of software development fundamentals, including Git, unit testing, CI/CD, and common application design principles., • Understanding of widely used machine learning algorithms, model-training methods, evaluation techniques, and hyperparameter tuning., • Ability to translate complex technical topics for both technical and nontechnical audiences., • Strong analytical, organizational, interpersonal, and problem-solving skills., • Ability to work independently, manage competing priorities, and operate with limited supervision.

Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. The Hivemind Solutions Perception team develops the next generation of perception capabilities for autonomous systems by combining state-of-the-art machine learning with the proven foundations of computer vision. The team advances how autonomous platforms understand and interpret the world by developing vision, vision-language (VLM), and vision-language-action (VLA) models that tackle core perception challenges such as object understanding, scene interpretation, and mission-relevant environmental awareness. Working at the intersection of research and production, our engineers build the data pipelines, supervised fine-tuning (SFT) workflows, evaluation frameworks, and deployment infrastructure needed to transform cutting-edge AI research into reliable, mission-ready perception capabilities. In this role, you'll develop and deploy advanced machine learning models that solve real-world perception challenges for autonomous systems. You'll own major features from model development through deployment, working closely with machine learning researchers, perception engineers, autonomy engineers, and platform teams to bring cutting-edge AI capabilities into production. This is an ideal opportunity for engineers who enjoy solving difficult perception problems while building reliable, production-ready ML systems that operate on autonomous platforms in complex operational environments. What You'll Do: Model Development – Design, train, fine-tune, and maintain state-of-the-art vision, vision-language, and vision-language-action models that improve perception and decision-making for autonomous systems. Data Pipelines & Model Training – Build scalable data pipelines, supervised fine-tuning (SFT) workflows, and evaluation loops that continuously improve model performance on mission-relevant tasks. Model Deployment & Optimization – Deploy and optimize machine learning models for embedded hardware using technologies such as ONNX, TensorRT, and hardware-accelerated inference frameworks. Perception & Autonomy Applications – Apply modern machine learning techniques to solve challenging perception and autonomy problems across aerial and other autonomous systems operating in complex, real-world environments. Research-to-Production – Translate cutting-edge machine learning research into production-ready capabilities by balancing model performance, robustness, computational efficiency, and operational reliability. Cross-functional Collaboration – Partner closely with perception, autonomy, platform, and software engineering teams to integrate machine learning capabilities into mission-ready autonomous systems. Model Evaluation & Validation – Develop benchmarks, testing methodologies, and evaluation frameworks to measure model performance, identify failure modes, and guide future improvements. Continuous Improvement – Improve training infrastructure, developer tooling, deployment workflows, and model lifecycle management to accelerate experimentation and production delivery. Required Qualifications: Typically requires a minimum of 5 years of related experience with a Bachelor’s degree; or 4 years and a Master’s degree; or 2 years with a PhD; or equivalent work experience. Prioficiency of machine learning fundamentals. Experience training an deploying ML models for computer vision in a production setting. Strong understanding of 3D vision problems/algorithms. Experience with machine learning frameworks such as PyTorch and TensorFlow. Demonstrated expertise in deploying models using TensorRT and ONNX. Proficiency in C++ and Python. Strong analytical and problem-solving skills, with the ability to translate research into practical applications. • Ability to obtain a SECRET clearance Preferred Qualifications: Experience with developing autonomous systems for defense customers. Experience with training/finetuning vision-language models, vision-language-action models, and/or world models. Contributions to open-source projects in machine learning or computer vision. Track record of publications in leading computer vision and robotics conferences and journals (e.g., CVPR, ICCV/ECCV, RAL, ICRA). #LI-DS-1 #LC Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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 THIS ROLE IS IN-OFFICE (NOT REMOTE), MON-FRI, BASED IN IRVING, TX. Applicants who reside outside of the Dallas/Fort Worth area will not be considered. This position is not eligible for employer-sponsored work authorization. Candidates must be authorized to work in the United States without current or future visa sponsorship. This is a first-of-its-kind role at Austco. You'll lead AI adoption across our entire R&D function — embedding practical AI into engineering, software development, and verification and validation workflows. This is not a research role. We need someone who can act, build, and lead. ABOUT AUSTCO Austco Healthcare (ASX: AHC) is a globally distributed provider of clinical communication and workflow solutions, serving hospitals, nursing homes, and aged-care facilities across more than 50 countries. As we enter a new phase of growth, we're investing in AI-enabled engineering to accelerate development capability and product innovation. WHAT YOU'LL DO → AI tooling and integration • Evaluate, implement, and champion AI-assisted tools (GitHub Copilot, Claude Code, Cursor, LLM-based assistants) across the engineering team, • Build internal tools and workflows using LLMs to accelerate development, code review, documentation, and testing, • Pilot AI use cases in V&V and QA processes — automated test generation, requirements traceability, and defect analysis → R&D AI leadership • Serve as the primary AI subject matter expert within R&D, • Design and deliver internal training programs to lift AI capability across the engineering team, • Partner with the Head of R&D and CTO to define the AI adoption roadmap, • Champion responsible, auditable AI practices and contribute to internal usage guidelines, • Stay across emerging regulatory guidance on AI in medical devices → Regulated software environment • Ensure AI-assisted processes comply with IEC 62304 and applicable quality management requirements, • Work with the quality and regulatory team to document AI tool usage within the SDLC for regulatory submissions → Collaboration and innovation • Identify cross-disciplinary AI applications with hardware and firmware engineers, • Contribute to a culture of continuous improvement within the R&D team WHAT WE'RE LOOKING FOR → Essential REQUIRED • Strong software engineering background such as, Python essential, plus C++, C#, or JavaScript, • Hands-on experience integrating LLM APIs (OpenAI, Anthropic, or similar) into real production workflows — not just prototypes, • Practical experience with AI-assisted developer tooling; able to evaluate and implement new tools rapidly, • Track record of coaching and up-skilling technical peers and able to train other team members, • Strong written and verbal communication, including documentation for both engineering and regulatory audiences → Highly Desirable • Familiarity with regulated software environments such as, IEC 62304, IEC 62443, UL 1069, or equivalent, • Experience in medical devices, healthcare technology, or other safety-critical industries, • Exposure to automated testing frameworks, CI/CD pipelines, and DevOps practices, • Experience building AI-assisted tools for V&V, requirements management, or software QA, • Relevant tertiary qualification in software engineering, computer science, or related discipline WHAT WE OFFER • High impact from day one. You will shape the AI strategy of a global ASX-listed healthcare technology company, • Competitive compensation and healthcare benefits package, including 401k with a 3% company match, • Collaborative team with deep domain expertise and access to the latest AI tools and platforms, • Ongoing professional development support If you're a software engineer who's passionate about AI adoption and wants to LEAD a meaningful transition in a regulated, mission-driven industry, we'd love to hear from you. #ZR \nCompany Description Austco is a global manufacturer of hospital and clinical communications hardware and software. We make innovative products that help nurses and caregivers as they care for their patients. Established in Perth, Australia in 1986, Austco builds the most advanced nurse call and clinical communications technology in the world. Austco's corporate head office is located in Melbourne, Australia. Our international offices are in the USA, Canada, the UK, Singapore, and New Zealand. The R&D and Order Fulfillment business units are based in Dallas, Texas. Austco is a global manufacturer of hospital and clinical communications hardware and software. We make innovative products that help nurses and caregivers as they care for their patients. Established in Perth, Australia in 1986, Austco builds the most advanced nurse call and clinical communications technology in the world. \r\n \r\nAustco's corporate head office is located in Melbourne, Australia. Our international offices are in the USA, Canada, the UK, Singapore, and New Zealand. The R&D and Order Fulfillment business units are based in Dallas, Texas.

Job Description We are seeking a highly skilled and experienced Consultant NodeJS with AWS (cloud) to join our team. The ideal candidate will have a minimum of 8 years of professional experience as an UI Developer and experience in Java Backend +Node JS +AWS or Fullstack + Node JS + AWS kind of profiles. As a Consultant NodeJS with AWS (cloud), you will be responsible for developing, implementing, and maintaining software solutions using NodeJS and AWS cloud technologies. You will work on a variety of projects and collaborate with cross-functional teams to design and develop high-quality software solutions that meet the needs of our clients. Essential Skills: • Minimum 8 years of professional experience as an UI Developer, • Strong experience with NodeJS, ReactJS and ExpressJS, • Proficient in programming language: Python or Java, • Experience with other Java technologies such as JSF framework, AJAX, Spring application framework, Hibernate object/relational persistence, JavaScript, HTML 5, and CSS 3, • Unix shell scripting is preferred, • Ability to work in Agile sprint teams, • Strong experience with AWS technologies including AWS CodeBuild, AWS CodeCommit, AWS CodePipeline, AWS Lambda, API Gateway, AWS CLI/Yaml/CloudFormation, and Serverless Deployment If you possess the required skills and experience for this role, we would love to hear from you. We offer a competitive salary, comprehensive benefits package, and opportunities for growth and advancement within our organization. To apply, please submit your resume and cover letter detailing your experience and qualifications for this position.

Job Description We are looking for a Cloud Platform Solution Architect who will be responsible for designing, developing, and leading technical solutions supporting one or more cloud platforms. You will need to engage multiple teams to define technical requirements, develop designs, and align technology that enables the cloud platform architecture all while meeting the organizations compliance, data and regulatory expectations. Additionally, the organization will look to you to be a leader across Cloud Platform projects influencing other tech leads in how we develop platform solutions following best practices and driving our platform innovation roadmap. Primary Responsibilities • You will design and develop platform standards and architecture patterns across the organization, • You will deliver Platform Solution Framework and software components while understanding and addressing risk, privacy, cybersecurity and legal constraints on project delivery, • You will choose between many paths of design and articulate why one may be better than another, • You will operate with an “automate first” mentality. Considering application/platform management across many potential accounts/regions, designing for maximum reuse., • You will provide technical evaluation of proposed project ideas, software changes and future product releases., • You will drive the development and execution of our platform innovation roadmap, including creating working proof of concept models in new technology spaces directly connected to future platform capabilities, • You will demonstrate concepts of achieving elegant solutions using established cloud patterns for redundancy, scalability, and reliability, • You will build effective relationships with key technical resources and architects to influence technology solutions., • You will provide guidance to software delivery teams in best practice Agile delivery of software components of the platform, • You will obtain and use knowledge industry specific delivery models and quality system to ensure solutions align with regulatory expectations and meet regulatory timelines, • You will obtain and bring to bear knowledge of Digital business processes and technology to ensure solution deliveries are consistent with the strategy and roadmap Skills / Requirements • Broad practical knowledge of an IaaS cloud provider (AWS, Azure, GCP) required. AWS preferred, • Applicant needs to be able to demonstrate deep knowledge of containerized environments (Docker), • Experience with identity management or authentication providers (preferably Okta), • Familiarity with practices and tooling of modern software development (GitHub + CI/CD, testing frameworks, Jira, etc) is needed, • Experience utilizing Atlassian (Jira/Confluence) or similar toolsets, • Professional experience delivering software solutions that span the development lifecycle, e.g., design, development, testing, deployment, and support., • Current development experience in Python or NodeJS greatly preferred, • Proven technical leadership experience in delivery of software projects, • Demonstrable examples of leading software design and architecture, • Demonstrated ability to propose new ideas and influence peers, • Achieved Cloud certifications (AWS Solution Architect or AWS Developer) or desire to achieve certifications, • Practical knowledge of Agile software development concepts and associated implementations., • High level of intellectual curiosity, external perspective, and innovation interest

Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Shield AI's Software Test & Automation Team develops the verification, validation, and automation capabilities that enable rapid delivery of Hivemind autonomy across the Expeditionary and Emerging Operations portfolio. Our mission is to provide objective evidence of software quality, reliability, and mission readiness by building scalable automated test frameworks, repeatable validation environments, and data-driven readiness assessments spanning simulation, Software-in-the-Loop (SIL), Hardware-in-the-Loop (HIL), and Vehicle-in-the-Loop (VIL) environments. As a Senior Software Test & Automation Engineer, you will design and develop automated test infrastructure, execute system-level verification activities, analyze software performance, and build the tooling that enables continuous validation throughout the development lifecycle. Working closely with autonomy software, systems engineering, digital infrastructure, and flight test teams, you will help ensure autonomy capabilities are validated, repeatable, and ready for operational deployment. What you'll do: Design, develop, and maintain automated test frameworks, validation tooling, and test infrastructure supporting autonomy software. Develop and execute verification and validation strategies across simulation, SIL, HIL, VIL, and representative system environments. Build automated regression, integration, functional, and performance test suites that improve software quality and deployment confidence. Develop Python-based automation, test harnesses, and analysis tools that reduce manual testing effort and improve repeatability. Analyze test results, identify software defects and integration issues, and support cross-functional root cause investigations. Develop software quality metrics, dashboards, and readiness assessments that provide objective evidence of software maturity. Integrate automated testing into CI/CD workflows to enable continuous validation and rapid developer feedback. Collaborate with autonomy software, systems engineering, flight test, and integration teams to define validation strategies and readiness criteria. Improve test infrastructure, automation coverage, and validation methodologies across the Expeditionary and Emerging Operations portfolio. Required qualifications: BS in Computer Science, Aerospace, Electrical, Mechanical Engineering or related field. 4–7 years developing software test, verification, automation, or validation solutions for robotics, autonomy, aerospace, or other complex distributed systems. Strong proficiency in Python for automation, testing, and data analysis. Experience developing automated test frameworks, test harnesses, or validation infrastructure. Experience with Linux-based development environments. Experience validating software in simulation, SIL, HIL, and/or representative hardware environments. Experience debugging complex software and system integration issues. Experience with CI/CD pipelines and continuous validation practices. Strong understanding of software verification, regression testing, and quality assurance methodologies. Preferred qualifications: Experience with flight control systems such as ArduPilot or PX4. Experience with unmanned aerial systems (fixed-wing, quadrotor, or both) Background in autonomy, robotics, or aerospace systems Familiarity with flight controllers, radios, and communications systems #LI-LD1 #LC Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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 Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Ground Control Station (GCS) and Command & Control (C2) Software team builds the mission planning, command & control, and post-mission debrief systems that enable operators to seamlessly manage complex, multi-domain unmanned missions. We combine modern map-centric interfaces, web technologies, and robust backend services to deliver a world-class operator experience across air, maritime, space, and effects/expendables. In this role, you will focus on building modern, web-based GCS applications, advanced mission planners, post-mission debrief utilities, and general C2 interfaces. You will work across a modern, full-stack ecosystem (utilizing frontend web frameworks, responsive mapping libraries, and robust backend services) to translate autonomous platform capabilities into intuitive, low-latency, and highly reliable control systems. In this role, you will design and develop major GCS features, mentor mid-level engineers, and represent the GCS/C2 team directly to autonomy capability teams, flight operations, and external partners. It's a hands-on role for engineers who enjoy designing user-facing controls and mission-critical systems and want to see their code drive complex real-world operations. What you'll do: • Develop & Field Web-Based GCS/C2 Software — Design, develop, and optimize high-performance, responsive GCS software and C2 applications, utilizing modern web technologies (e.g., React, TypeScript, Node.js, Go) to build map-centric mission planning, real-time command & control, video streaming, and telemetry visualization interfaces., • Technical Leadership — Own technical direction for major GCS features and full-stack subsystems; architect frontend/backend architectures, design robust APIs, and lead technical decision-making within your project area., • Collaboration Across Teams — Act as a primary technical interface with the Autonomy Capabilities team, Perception team, flight operations, and external partners (platform integrators, C2 providers, and vehicle vendors); author and negotiate APIs, REST/WebSocket schemas, and interface contracts rather than just consume them., • Mentorship & Growth — Mentor mid-level engineers on the team; partner with managers on onboarding, leveling, and growth planning. Formally onboard senior new hires., • Design, UX, & Documentation — Drive design reviews, UI/UX prototyping, and API/ICD definitions; champion modern frontend and backend development practices, rigorous unit/integration testing, and developer/operator documentation to close process gaps that span teams., • Pre-deployment Preparation — Own the build, configuration, and validation process for mission-ready ground stations and C2 web servers; coordinate hardware/software compatibility, UI/UX readiness, and containerized release cadence., • On-site Test & Mission Support — Travel to test sites and support live mission operations (flight tests, range exercises, on-water trials, integration events), working closely with operators and pilots to gather feedback, debug live C2 systems, and troubleshoot web interfaces and network configurations under time-critical field constraints., • System Debugging & Performance Tuning — Diagnose and resolve integration issues across GCS/C2 stacks, radio links, and telemetry streams — including UI rendering bottlenecks, API latency, database query optimization, and network latency profiling under operationally-representative loads., • Mission Data & Debrief Support — Architect and implement post-mission debrief utilities and telemetry analysis tools that parse, play back, and visualize telemetry, logs, and payload data for rapid post-mission analysis and issue reproduction., • Continuous Improvement — Build tools and automation scripts to improve C2 deployment pipelines, test/mission reliability, and simulation-based operator testing., • C2 Interoperability & Standards — Own compliance and integration with command-and-control standards and architectures (e.g., A-GRA, UCI, OMS, STANAG 4586, MAVLink)., • Hiring — Interview candidates, help define the skills bar for open roles in your area, and onboard new engineers into your sub-program., • Travel Requirement — Members of this team typically travel around 10-20% of the year (to support field integration, customer demonstrations, or test events).Required qualifications:, • BS/MS in Computer Science, Software Engineering, Computer Engineering, or equivalent practical experience., • Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience., • Experience with modern frontend frameworks (e.g., React, TypeScript) and building rich, interactive user experiences in responsive web-based applications., • Experience full-stack or building backend in C/C++, Python, TypeScript, or Go, including service orchestration, command/status interfaces, and data pipelines between UI, ground services, and vehicle-side components., • Deep familiarity with networked and distributed systems, including UDP/TCP transport, custom binary protocols, reliable messaging, pub-sub/IPC middleware, and serialization/IDL tooling., • Experience using AI-assisted development tools to accelerate software design, implementation, debugging, testing, and code review while maintaining strong engineering judgment, validation discipline, and ownership of final technical decisions., • Experience working with databases, including relational (e.g., PostgreSQL) or NoSQL databases, with preference for experience handling spatial/geographic data (e.g., PostGIS)., • Demonstrated experience owning a major software capability or system from architecture through field delivery., • Track record of mentoring engineers and growing technical talent., • Experience authoring or negotiating interface contracts, API specifications (e.g., OpenAPI/Swagger), or ICDs with internal or external stakeholders., • Strong debugging and profiling skills, including diagnosing browser rendering bottlenecks, API latencies, and network connectivity issues., • Ability to obtain a SECRET clearance.Preferred qualifications:, • Experience with Geographic Information Systems (GIS), web mapping libraries (e.g., Maplibre GL, Leaflet, CesiumJS, OpenLayers), and 2D/3D spatial data visualization., • Familiarity with video streaming protocols and multimedia frameworks in a web environment (e.g., WebRTC, HLS, RTSP-to-Web gateways, GStreamer, FFmpeg)., • Experience developing post-mission telemetry analysis, log parsing, or interactive web-based playback/debrief systems., • Experience with containerization and orchestration (e.g., Docker, Kubernetes, k3s/k3d) and deploying C2 services to local, edge, or cloud environments., • Experience with platform control / autopilot protocols (e.g., MAVLink, STANAG 4586) or DoD C2 standards (e.g., A-GRA, UCI, OMS)., • Experience working closely with flight operators, pilots, or military stakeholders to gather feedback and refine user workflows., • Active Secret or Top Secret clearance. #LI-ED1 #LD Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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 DescriptionJob Title: AI Led Engineering – Enterprise AI, Cloud & Platform TransformationSalary: $200,000 – $220,000Role Summary We are seeking an experienced Principal AI Platform Engineer / AI & Cloud Platform Architect to lead the design, engineering, and operation of enterprise-scale AI platforms. This role combines AI engineering, enterprise platform architecture, cloud transformation, Site Reliability Engineering (SRE), and production operations. The ideal candidate brings extensive experience across AI, DevOps, cloud engineering, platform engineering, and AIOps/observability. The role requires hands-on Python development, experience deploying AI/ML solutions in production, and the ability to design secure, scalable, and reliable platforms for mission-critical or regulated environments. Key Responsibilities Design, build, and maintain enterprise-scale AI platforms and cloud infrastructure. Develop and integrate AI solutions using Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI agents. Implement and operate AIOps and observability platforms to monitor system performance, reliability, and operational health. Lead cloud transformation initiatives across AWS, Azure, and/or Google Cloud Platform (GCP). Support production AI/ML environments, including model deployment, monitoring, lifecycle management, and optimization. Develop infrastructure automation, CI/CD pipelines, and platform engineering capabilities. Implement scalable infrastructure using technologies such as Kubernetes, Docker, Terraform, and service meshes. Integrate AI development tools and engineering copilots into software engineering workflows. Collaborate with architecture, operations, security, and delivery teams to ensure platform reliability, security, and scalability. Establish engineering standards and operational practices for mission-critical and regulated platforms. Required Qualifications Minimum of 12 years of experience across AI, DevOps, cloud engineering, SRE, or platform engineering. Minimum of 3 years of hands-on experience with AI technologies and AI engineering stacks. Minimum of 5 years of experience designing enterprise platforms. Minimum of 3 years of experience implementing AIOps or observability platforms. Mandatory hands-on Python programming experience. Experience with enterprise cloud transformation initiatives. Experience supporting production AI/ML environments. Experience designing or operating mission-critical or regulated platforms. Strong collaboration and coordination skills across architecture, operations, security, and delivery teams. Relevant Technologies and Technical Skills AI and Machine Learning Generative AI and Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) AI agents, AgentCore, and Model Context Protocol (MCP) AWS Bedrock and Amazon SageMaker Vector databases Model deployment and lifecycle management Engineering copilots such as Kiro and GitHub Copilot Cloud and Platform Engineering AWS, Microsoft Azure, and/or Google Cloud Platform (GCP) Infrastructure as Code and automation using Terraform CI/CD pipelines Kubernetes and Docker Service meshes Enterprise platform architecture and cloud modernization AIOps, SRE, and Observability AIOps platform implementation Infrastructure and application monitoring Distributed tracing, logging, and metrics Datadog, Dynatrace, Splunk, Prometheus, and OpenTelemetry Production reliability, incident analysis, and performance optimization Note: Candidates are not required to have experience with every named technology. Assessment should focus on transferable technical capabilities, relevant platform experience, and demonstrated implementation of AIOps or observability solutions. Ideal Candidate Profile Senior-level engineer or architect with a strong combination of AI engineering, enterprise platforms, and cloud operations experience. Hands-on Python developer with practical experience building or integrating AI solutions. Proven track record designing enterprise platforms and supporting production AI/ML workloads. Demonstrated experience implementing AIOps or observability platforms. Experience with at least one major cloud provider. Able to coordinate effectively across technical architecture, security, operations, and delivery teams. Comfortable evaluating and adopting relevant technologies without requiring experience with every product listed.

Job DescriptionBenefits: • Competitive Compensation, • Hybrid, • Opportunity for advancement Senior Terraform AWS/Azure AMI Developer. San Antonio, TX (Hybrid). Duration: 12-month plus contract opportunity Expected to Start at June 1st. Hiring : 2-Rounds of Technical screening Responsibilities and Required Skills: • Strong expertise in Hashi Corp Packer for AMI builds and automation of image workflows., • Advanced skills in Terraform for infrastructure code development and maintenance., • Proficient with AWS EC2, Azure VMs, and CI/CD tools (Harness, ArgoCD, DuploCloud, AWS Code Pipeline)., • Development experience in Python, JavaScript, Ansible, PowerShell, and Shell scripting., • Deep understanding of Windows, Amazon Linux, and Red Hat Linux operating systems., • Skilled in troubleshooting, debugging, and collaborating with Cloud SMEs and application teams., • Proficient with Git and GitHub for version control and collaboration., • Experience with Azure Resource Manager (ARM) templates and Bicep for advanced VM automation., • Good understanding of Azure Cloud, particularly Managed Images, VM creation, configuration, and lifecycle management., • Strong development skills in PowerShell (Azure PowerShell Modules, Azure CLI) and Terraform (Azure RM provider)., • Knowledge of Azure Image Builder service for custom VM image creation pipelines., • Understanding of Azure Policies, Role-Based Access Control (RBAC), and Managed Identities for secure automation., • Familiarity with scaling VMSS (Virtual Machine Scale Sets) and Auto-scaling configurations., • Strong Windows OS administration and scripting skills. Must Have : • Experience with Hashi Corp Packer., • Extensive experience in Terraform development., • Strong Knowledge of developing AWS and Azure AMIs., • Very Good knowledge of PowerShell, Python, and Ansible. Technical Skills: Terraform, Packer, PowerShell, Python, AWS, CI/CD (Harness). Flexible work from home options available.

Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. The Hivemind Solutions Perception team develops the next generation of perception capabilities for autonomous systems by combining state-of-the-art machine learning with the proven foundations of computer vision. The team advances how autonomous platforms understand and interpret the world by developing vision, vision-language (VLM), and vision-language-action (VLA) models that tackle core perception challenges such as object understanding, scene interpretation, and mission-relevant environmental awareness. Working at the intersection of research and production, our engineers build the data pipelines, supervised fine-tuning (SFT) workflows, evaluation frameworks, and deployment infrastructure needed to transform cutting-edge AI research into reliable, mission-ready perception capabilities. In this role, you'll develop and deploy advanced machine learning models that enable autonomous systems to better understand, reason about, and interact with their environment. You'll partner closely with machine learning researchers, autonomy engineers, perception engineers, and platform teams to translate emerging AI capabilities into reliable, production-ready systems for U.S. and international defense customers. This is an ideal opportunity for engineers who enjoy building state-of-the-art AI systems while solving the practical challenges of deploying them on operational autonomous platforms. What You'll Do: Model Development – Design, train, fine-tune, and maintain state-of-the-art vision, vision-language, and vision-language-action models that improve perception and decision-making for autonomous systems. Data Pipelines & Model Training – Build scalable data pipelines, supervised fine-tuning (SFT) workflows, and evaluation loops that continuously improve model performance on mission-relevant tasks. Model Deployment & Optimization – Deploy and optimize machine learning models for embedded hardware using technologies such as ONNX, TensorRT, and hardware-accelerated inference frameworks. Perception & Autonomy Applications – Apply modern machine learning techniques to solve challenging perception and autonomy problems across aerial and other autonomous systems operating in complex, real-world environments. Research-to-Production – Translate cutting-edge machine learning research into production-ready capabilities by balancing model performance, robustness, computational efficiency, and operational reliability. Cross-functional Collaboration – Partner closely with perception, autonomy, platform, and software engineering teams to integrate machine learning capabilities into mission-ready autonomous systems. Model Evaluation & Validation – Develop benchmarks, testing methodologies, and evaluation frameworks to measure model performance, identify failure modes, and guide future improvements. Continuous Improvement – Improve training infrastructure, developer tooling, deployment workflows, and model lifecycle management to accelerate experimentation and production delivery. Required Qualifications: Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience. Mastery of machine learning fundamentals. Experience training an deploying ML models for computer vision in a production setting. Strong understanding of 3D vision problems/algorithms. Experience with machine learning frameworks such as PyTorch and TensorFlow. Demonstrated expertise in deploying models using TensorRT and ONNX. Proficiency in C++ and Python. Strong analytical and problem-solving skills, with the ability to translate research into practical applications. • Ability to obtain a SECRET clearance Preferred Qualifications: Experience with developing autonomous systems for defense customers. Experience with training/finetuning vision-language models, vision-language-action models, and/or world models. Contributions to open-source projects in machine learning or computer vision. Track record of publications in leading computer vision and robotics conferences and journals (e.g., CVPR, ICCV/ECCV, RAL, ICRA). #LI-DS-1 #LE Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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 DescriptionJob Title: Data Engineer / BI Developer – GCP, dbt & Power BI Experience: 3–5 Years Employment Type: Full-Time Location: Dallas,TX Hybrid Job Summary We are looking for a Data Engineer / BI Developer with 2–4 years of experience in building cloud-based data pipelines, transformation frameworks, and analytical reporting solutions. The ideal candidate should have hands-on experience with Google BigQuery, Apache Airflow, dbt, SQL, and Power BI, along with a good understanding of data warehousing, ETL/ELT processes, data modeling, and dashboard development. Key Responsibilities • Design, develop, and maintain scalable data pipelines using Apache Airflow., • Develop and optimize data warehouse solutions using Google BigQuery., • Build reusable and maintainable transformation models using dbt., • Develop interactive reports and dashboards using Power BI., • Write complex and optimized SQL queries for extraction, transformation, validation, and reporting., • Create and maintain dimensional models, fact tables, views, and reporting datasets., • Develop dbt models, tests, documentation, macros, and incremental processing logic., • Monitor Airflow DAGs and troubleshoot pipeline and data-quality issues., • Optimize BigQuery queries for performance and cost efficiency., • Build Power BI semantic models, relationships, measures, calculated columns, and DAX calculations., • Perform source-to-target validation and data reconciliation., • Implement data-quality checks to ensure reliable and consistent reporting., • Participate in code reviews, deployments, testing, and production support., • Maintain technical documentation for pipelines, transformations, datasets, and dashboards. Required Skills • 2–4 years of experience in Data Engineering, Business Intelligence, or Analytics Engineering., • Strong hands-on experience with Google BigQuery., • Hands-on experience developing and maintaining Apache Airflow DAGs., • Good experience with dbt Core or dbt Cloud., • Strong knowledge of SQL and query optimization., • Hands-on experience with Power BI., • Good understanding of:, • Power Query, • DAX, • Data modeling, • Power BI Service, • Dataset / semantic model refresh, • Row-Level Security (RLS), • Understanding of ETL/ELT architecture and data warehousing concepts., • Experience working with fact and dimension models and star-schema-based reporting solutions., • Knowledge of data validation, reconciliation, and troubleshooting techniques., • Experience using Git or similar version-control tools. Added Advantage / Good to Have • Any hands-on experience with Snowflake will be an added advantage., • Any experience with Databricks, Apache Spark, or Lakehouse architecture will be an added advantage., • Experience with Python for data engineering or automation., • Knowledge of additional GCP services such as:, • Cloud Storage, • Cloud Composer, • IAM, • Dataflow, • Pub/Sub, • Exposure to other cloud platforms such as Azure or AWS., • Experience with CI/CD pipelines for dbt, Airflow, or Power BI deployments., • Understanding of data governance, data quality, metadata management, and security concepts., • Experience working in Agile/Scrum delivery environments. Preferred Candidate Profile The candidate should be capable of independently developing data pipelines and reporting solutions, troubleshooting technical issues, and working with business and technical stakeholders to translate requirements into scalable data solutions. Candidates with broader modern data-platform exposure, particularly Snowflake and Databricks, will be preferred. Primary Technology Stack: GCP | BigQuery | Airflow | dbt | SQL | Power BI | Git | Python Additional Advantage: Snowflake | Databricks | Spark | Azure | AWS Powered by JazzHR TP36cOTDtC

Job Description We are seeking a Software Engineer (Senior Developer/ Business Analyst) to become an integral part of our team! You will be responsible for creating and modifying computer application software or specialized utility programs. Responsibilities: • Involve in all the phases of Software Development Life Cycle (SDLC) and Software Testing Life Cycle (STLC), • Associate with business users and other stake holders of the project to ensure there are no gaps in requirements and add/update the business and technological specifications accordingly, • Identify the scope of the project to ensure delivery is compliant with scope commitment, • Expertly construct user stories and workflows of the feature in support of the CRM implementation, • Carry out data analysis, transformation, and loading utilizing Data Loader during functional testing, • Create and translate use cases and test scripts for usage in automated regression testing, which involves working on customizing the pages with the required lightning component through Community Builder, • Involve in Quality Center/ ALM administration to create users, groups, domains, and projects., • Prepare automation test strategies, test plans and test schedules for all Prescriptive CRM applications., • Involved in tech modernization projects like SQL Server upgrade, Windows 2003 Server Elimination and Office migration., • Execute test scenarios in different SQL compatibility levels to verify the remediated SQL code and their impacts in legacy applications., • Perform SQL database related operations to create and modify data and execute store procedures by passing parameters., • Build and Execute automation scripts using open source tools such as Selenium Web Driver and Test NG., • Designing and enhancing test automation scripts using HP Unified Functional Testing and ALM, • Build automation suites for traditional Waterfall and Agile projects Qualifications: • Previous experience in software development, computer engineering, or other related fields, • Knowledge of Java, Python, or other programming languages, • Familiarity with relational databases such as MySQL, Oracle, and SQL Server, • Deadline and detail-oriented, • Strong analytical and critical thinking skills\nCompany Description EdvenSoft Solutions is a global IT services company providing IT consulting, technology and outsourcing services. Using our enhanced global delivery model, innovative software platforming approach and industry expertise, we provide high-value IT services that enable our clients to enhance business performance, accelerate time-to-market solutions, increase productivity and improve customer service. Platforming Approach We approach all of our engagements with a platforming approach that is based on ten years of experience building software products for leading enterprise software companies. By applying the platforming principles, we deliver extraordinary value to our clients with well-architected solutions that reuse existing IT assets where possible, eliminate redundant code and data for maximized code reuse. Platforming enables our clients to lower their total cost of ownership and accelerate revenue generation by increasing business agility, streamlining redundancies and achieving economies of scale. Focus on Clients Need At EdvenSoft Solutions, we anticipate and understand our client’s emerging needs and work in close partnership to make their businesses stronger, valuable, more profitable and more productive. We also offer them the capability of capturing market opportunities. We work closely with our client’s leadership teams in order to gain better insights for providing the best possible IT services and solutions to their business challenges. This enables us to establish extremely close partnerships that foster continuous operational improvements and better bottom-line results for our clients. People EdvenSoft Solutions most valuable asset is its people. Our experience with leading global enterprises, our platforming approach, our focus on state-of-the-art technologies and best-in-class infrastructure enable us to attract as well as retain world-class technology professionals who thrive to help our clients succeed. Our people are acknowledged for their exceptional talent, passion, dedication, commitment, innovation and creativity. Our people take great pride in providing thought leadership, building sophisticated cutting edge solutions and creating client delight. Domain Expertise EdvenSoft Solutions has a global footprint with offices and Advanced Technology Centers in US and India. Headquartered in the US our executive, technology and domain leadership are in close proximity to majority of clients and their markets. We strive to earn a trusted partner status with our clients through high-touch, high-value, high-end relationships. Our industry solutions help our clients derive maximum value from IT investments, by leveraging a consulting-led, framework-based and process-driven approach across the industry value chain. Specialized Services To meet the specific needs of each client we have invested in deepening our industry-specific, domain and latest technologies. Driven by our IT consulting, technology and outsourcing services our customers accelerate innovation and maximize value from IT investments. We provide high-value IT services that enable our clients to enhance business performance, accelerate time-to-market, increase productivity and improve customer service. We build and sustain application platforms for our clients that create competitive advantage. EdvenSoft Solutions is a global IT services company providing IT consulting, technology and outsourcing services. Using our enhanced global delivery model, innovative software platforming approach and industry expertise, we provide high-value IT services that enable our clients to enhance business performance, accelerate time-to-market solutions, increase productivity and improve customer service.\r\n\r\nPlatforming Approach\r\nWe approach all of our engagements with a platforming approach that is based on ten years of experience building software products for leading enterprise software companies. By applying the platforming principles, we deliver extraordinary value to our clients with well-architected solutions that reuse existing IT assets where possible, eliminate redundant code and data for maximized code reuse. Platforming enables our clients to lower their total cost of ownership and accelerate revenue generation by increasing business agility, streamlining redundancies and achieving economies of scale.\r\n\r\nFocus on Clients Need\r\nAt EdvenSoft Solutions, we anticipate and understand our client’s emerging needs and work in close partnership to make their businesses stronger, valuable, more profitable and more productive. We also offer them the capability of capturing market opportunities. We work closely with our client’s leadership teams in order to gain better insights for providing the best possible IT services and solutions to their business challenges. This enables us to establish extremely close partnerships that foster continuous operational improvements and better bottom-line results for our clients.\r\n\r\nPeople\r\nEdvenSoft Solutions most valuable asset is its people. Our experience with leading global enterprises, our platforming approach, our focus on state-of-the-art technologies and best-in-class infrastructure enable us to attract as well as retain world-class technology professionals who thrive to help our clients succeed. Our people are acknowledged for their exceptional talent, passion, dedication, commitment, innovation and creativity. Our people take great pride in providing thought leadership, building sophisticated cutting edge solutions and creating client delight.\r\n\r\nDomain Expertise\r\nEdvenSoft Solutions has a global footprint with offices and Advanced Technology Centers in US and India. Headquartered in the US our executive, technology and domain leadership are in close proximity to majority of clients and their markets. We strive to earn a trusted partner status with our clients through high-touch, high-value, high-end relationships. Our industry solutions help our clients derive maximum value from IT investments, by leveraging a consulting-led, framework-based and process-driven approach across the industry value chain.\r\n\r\nSpecialized Services\r\nTo meet the specific needs of each client we have invested in deepening our industry-specific, domain and latest technologies. Driven by our IT consulting, technology and outsourcing services our customers accelerate innovation and maximize value from IT investments. We provide high-value IT services that enable our clients to enhance business performance, accelerate time-to-market, increase productivity and improve customer service. We build and sustain application platforms for our clients that create competitive advantage.

Req ID: 383118 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Kubernetes Engineer (hybrid position in either Irving, TX or Charlotte, NC) to join our team in Dallas, Texas (US-TX), United States (US). • Please note, This is a hybrid position. The client’s main locations are in Irving, TX and Charlotte, NC. We are looking for someone who is nearby one of these locations to be able to go onsite for client support 2-3 days a week, and working remotely the other time. Please be mindful of applying if you are not in an ideal commutable distance of one of these locations. About this Role: We are seeking a Lead Infrastructure Engineer to help design, automate, and operate our next‑generation hybrid cloud and Kubernetes platforms. This role is ideal for an engineer who thrives on solving infrastructure challenges with automation and enjoys building reusable, self‑service capabilities that improve platform reliability and developer experience. In this hands‑on role, you will contribute to the development of scalable infrastructure patterns, modernize compute from VMs to containers, and enable GitOps‑driven delivery across environments. You will partner closely with platform, security, and application engineering teams to build solutions that are secure, consistent, and easy for developers to consume. This is a technical leadership position focused on engineering excellence, reusable patterns, and the evolution of our Kubernetes‑centered platform ecosystem. Key Responsibilities Platform Engineering & Architecture Contribution • Build and maintain Kubernetes platforms, including cluster operations, add‑ons, curated Helm charts, and deployment standards., • Develop reusable infrastructure modules and templates using Terraform, Ansible, or similar IaC tools., • Support hybrid cloud infrastructure (Azure or GCP) following established architectural guidelines., • Contribute to workload migration initiatives from virtual machines to containerized environments., • Implement declarative, API‑driven infrastructure patterns aligned with GitOps workflows. Operational Excellence • Automate provisioning, configuration, and platform lifecycle tasks to reduce manual operations and improve stability., • Leverage observability tooling (Prometheus, Grafana, logs, tracing) to improve performance monitoring and incident response., • Participate in on‑call rotations, root‑cause analysis, and reliability‑focused improvements., • Maintain cluster security, RBAC, policy enforcement, and compliance controls in collaboration with security teams. GitOps, Automation & Engineering Enablement • Design and implement GitOps workflows using tools such as ArgoCD or RHACM., • Build and maintain self‑service platform capabilities (APIs, templates, automation pipelines) to reduce friction for development teams., • Integrate infrastructure automation with CI/CD systems (GitHub Actions, Tekton, etc.)., • Provide guidance and onboarding support to teams adopting Kubernetes, including documentation, templates, and golden paths. Collaboration & Mentorship • Mentor junior engineers and contribute to knowledge‑sharing across the engineering organization., • Participate in code reviews, architecture discussions, and cross‑team collaboration., • Work closely with networking, security, and application teams to deliver compliant and scalable solutions. Required Qualifications Drawing from both the Kubernetes‑focused nature of this role and alignment with the Lead DevOps job level: • 5+ years of experience in infrastructure, platform engineering, or DevOps roles (or equivalent via education, training, or military experience)., • 2+ years of hands‑on Kubernetes experience (cluster operations, deployment tooling, troubleshooting)., • 3+ years of experience with IaC tools such as Terraform, Ansible, or Tekton., • 3+ years working with GitOps principles and tools (ArgoCD, GitHub Actions, RHACM)., • Experience with container orchestration, hybrid cloud platforms (Azure, GCP), and Linux systems., • Proficiency in scripting (Python, Bash, PowerShell)., • Experience designing or consuming RESTful APIs and integrating automation into platform workflows., • Solid understanding of networking fundamentals, security best practices, and compliance considerations. Preferred Qualifications • Familiarity with service mesh technologies (Istio, OSSM)., • Exposure to image management tooling (Packer, Image Builder)., • Experience with developer portals (Backstage) or internal platform tooling., • Background building platform engineering or cloud‑native enablement solutions., • Experience with observability stacks (Prometheus, Grafana, Splunk)., • A developer‑first mindset focused on reducing friction and streamlining delivery. Impact of the Role As a Lead Infrastructure Engineer, you will directly shape the reliability, scalability, and usability of our infrastructure platforms. Your work will accelerate Kubernetes adoption, expand automation, and improve engineering productivity across the organization. Through modern IaC, GitOps practices, and self‑service capabilities, you will help deliver a secure, efficient, and developer‑friendly platform that supports mission‑critical workloads. NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role will depend on the location of the successful candidate. For candidates in either of these locations, the starting pay range is $97,725- $130,300k. Actual compensation will depend on a number of factors, including the candidate’s actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance. If the position offered in temporary, the position will not be eligible for incentive compensation. This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits. #INDICS About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, _. NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click . If you'd like more information on your EEO rights under the law, please click . For Pay Transparency information, please click_.

Job DescriptionAbout Us: Avior is a dynamic and innovative tax company committed to delivering cutting-edge solutions. We are passionate about technology and aim to create an environment that fosters growth, creativity, and collaboration. Job Description: We are seeking a motivated and enthusiastic Entry-Level Software Developer to join our team. In this role, you will work closely with senior developers and other team members to design, develop, and maintain software applications. This is an excellent opportunity for individuals with up to 2 years of experience to kick-start their careers in software development. Key Responsibilities: • Collaborate with the development team to design and implement software solutions., • Write clean, maintainable, and efficient code., • Participate in code reviews and contribute to team knowledge sharing., • Troubleshoot, debug, test, and resolve software issues., • Assist in the testing and deployment of software applications., • Stay updated with emerging technologies and industry trends. Requirements: • Bachelor’s degree in Computer Science, Software Engineering, or a related field., • Strong understanding of programming languages such as Java, Python, C#, or JavaScript., • Familiarity with software development methodologies and tools (e.g., Agile, Git)., • Basic knowledge of databases (SQL, NoSQL)., • Excellent problem-solving skills and attention to detail., • Strong communication and teamwork skills., • Willingness to learn and adapt to new technologies like AI. Preferred Qualifications: • Internship or project experience in software development., • Knowledge of web development frameworks (e.g., React, Angular, Django)., • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud)., • Understanding of DevOps practices and tools. What We Offer: • Competitive salary and benefits package., • Opportunities for professional development and career growth., • A supportive and collaborative work environment., • Exposure to cutting-edge technologies and projects.

Job Description Forhyre is looking for engineers who can bring unique perspectives and innovative ideas to all areas of development and are interested in continuing to improve our platform through the ever-changing technology landscape. To be successful in this role • You'll have the opportunity to design and implement major infrastructure components, systems, and developer-friendly capabilities to improve the availability, scalability, latency, and efficiency of our services, • You will provide technical leadership to cross-functional engineering, infrastructure, and product teams, and evangelize cloud best practices while building a culture of reliability and observability, • Engage in and improve the end to end lifecycle of software development--from inception and design, through deployment, operation and refinement of a highly distributed system running in public cloud, • Serve as subject matter expert in an SRE mindset, best practices, and cloud-native principles, • Scale systems sustainably through automation to improve reliability and velocity, • Assist with all aspects of operational security and compliance, • Run software performance analysis and system tuning, • Design and implement tools to collect data from various sources and provide actionable insights, • Participate in critical incident management and timely post-mortems of production incidents to drive practices around blameless analysis, resolution, and continuous improvement work with cross-functional teams Develop the rest of the team by conducting code reviews, providing mentorship, pairing, and training opportunities Qualification & Skills • We are looking for Principal SRE with proven experience in running distributed systems at scale, in production, • You have 15+ years of experience in relevant skills gained and developed in the same or similar role, • Strong knowledge of container orchestration, preferably Kubernetes and networking technology, • Hands-on experience in one or more languages, such as Node JS, Python, Go, Perl, Ruby, and Bash, • Experience with SOA, Microservices architecture, API Management & Enterprise system Integrations, • Strong production experience with cloud infrastructure, AWS, Azure & Google Cloud, • Strong sense of ownership, and an ability to drive tasks to completion, • Experience developing and monitoring distributed systems, • Experience working in an Agile Environment with great collaboration skills

Job Description Overview CTG is seeking to fill an AWS Cloud Developer position for our client. Location: Dallas, TX Duration: 5 months Duties: Design, develop, deploy, and maintain cloud-native applications and services on AWS. Develop serverless and containerized solutions using AWS Lambda, ECS/Fargate, API Gateway, S3, DynamoDB/RDS, SQS, SNS, EventBridge, and CloudWatch. Build and integrate REST APIs and cloud-based application components. Develop and maintain application code using Python, Java, Node.js/TypeScript, and/or .NET. Implement automated unit testing and support application quality and reliability. Develop and maintain infrastructure using Infrastructure as Code (IaC), with Terraform strongly preferred. Support AWS infrastructure provisioning and configuration using CloudFormation and/or AWS CDK. Use GitLab for source control, branching strategies, merge requests, approvals, protected branches, and tagging. Troubleshoot application, cloud infrastructure, and integration issues and support continuous improvement of AWS solutions. Skills: AWS cloud development and cloud-native application development. AWS Lambda, ECS/Fargate, API Gateway, S3, DynamoDB/RDS, SQS, SNS, EventBridge, and CloudWatch. Python, Java, Node.js/TypeScript, and/or .NET. REST API development and integration. Unit testing and software development best practices. Terraform, with CloudFormation and AWS CDK as additional experience. GitLab, Git repositories, branching strategies, merge requests, approvals, protected branches, and tagging. Strong problem-solving, troubleshooting, communication, and collaboration skills. Experience: 4–6 years of professional experience in software development, cloud development, or a related technical field. Hands-on experience developing and deploying applications and services in AWS. Experience with serverless, containerized, and API-based application architectures. Experience with Infrastructure as Code, preferably Terraform. Experience with Git-based source control and GitLab development workflows. Education: Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field preferred; equivalent professional experience may be considered. Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required. CTG does not accept unsolicited resumes from headhunters, recruitment agencies, or fee based recruitment services for this role. To Apply: To be considered, please apply directly to this requisition using the link provided. Kindly forward this to any other interested parties. Thank you!

Job Description Job Title: AI Developer Industry: Oil & Gas / Energy Location: Dallas, Texas - onsite 5x a week Assignment Type: Direct Hire Pay: $115,000–$140,000 annually, plus a 15% short-term incentive and 20% long-term incentive. Benefits: This position is eligible for medical, dental, vision, and 401(k). The company offers fully paid family benefits, a generous 401(k) match, and a competitive paid-time-off program. Our client is an established energy organization investing in a new artificial intelligence and machine learning function. The company offers a collaborative, fast-moving environment where employees are empowered to make decisions, explore emerging technologies, and influence how AI is used across the business. We are seeking an AI Developer to join a newly created AI/ML team and help transform emerging artificial intelligence capabilities into practical business solutions. This foundational team member will design, prototype, and deploy AI-enabled applications, intelligent agents, and automated workflows using Microsoft Azure, Azure Databricks, Azure AI Foundry, Snowflake, and modern large language model technologies. This is a broad, hands-on role suited for an intellectually curious developer who enjoys experimenting with new tools and solving loosely defined problems. The ideal candidate combines software and data engineering fundamentals with genuine enthusiasm for generative AI. Because the field and team are still evolving, this person must be comfortable learning quickly, testing new approaches, and helping establish technical direction. Key Responsibilities: • Create and deploy AI-enabled applications using large language models and modern generative AI platforms., • Develop autonomous and multi-agent solutions capable of using tools, retrieving information, and completing multistep tasks., • Build agent-based workflows using technologies such as Azure AI Foundry Agent Service, Anthropic Claude, and comparable development frameworks., • Connect Snowflake, Azure Databricks, and other enterprise data sources to AI applications and machine learning processes., • Develop and maintain reliable data pipelines using SQL, Python, dbt, or similar technologies., • Implement retrieval-augmented generation solutions that allow AI systems to securely use relevant organizational data., • Create automated evaluation and testing methods to assess the accuracy, reliability, performance, and safety of models and agents., • Quickly prototype emerging AI tools, frameworks, and models to determine whether they provide meaningful business value., • Turn ambiguous business needs into functional prototypes and scalable production solutions., • Partner with data scientists, data engineers, IT professionals, and business leaders throughout the development lifecycle., • Help establish responsible AI practices related to privacy, governance, permissions, and secure data access., • Document technical solutions and share findings, recommendations, and best practices with team members and stakeholders., • Present technical recommendations confidently and respectfully challenge assumptions when another approach may produce a better result. Qualifications: • Bachelor’s degree in computer science, data science, engineering, mathematics, or a related discipline is required., • Two to four years of experience developing and deploying software, data, AI, or machine learning applications in a production environment., • Strong Python skills with experience producing organized, tested, and maintainable code., • Working knowledge of SQL and experience with a cloud-based data platform such as Snowflake, Databricks, or a comparable technology., • Practical exposure to developing applications with generative AI or large language model APIs, such as Claude, OpenAI, Azure OpenAI, or similar platforms., • Understanding of software engineering practices, including Git or GitHub, automated testing, CI/CD, and common application design principles., • Strong analytical and troubleshooting abilities with the capacity to work through unfamiliar or loosely defined problems., • Effective communication skills and the ability to collaborate across engineering, data science, technology, and business groups., • Demonstrated ability to independently learn new frameworks, platforms, and development approaches., • Comfort working within a newly formed team where technologies, priorities, and processes may change quickly.

Job Description A global semiconductor company is on the hunt for a trailblazing Agentic Product Developer to supercharge our System-on-Chip (SoC) AI team. If you thrive in a fast-moving, startup-style environment where every day brings new challenges, trends, and opportunities, this role is for you. We're building AI-first products that redefine autonomy and adaptability; our systems are designed to learn, evolve, and make decisions independently. We're looking for someone who's passionate, self-motivated, and hungry to push boundaries - someone who's obsessed with staying ahead of the curve and rapidly adapting to the latest in AI and embedded tech. If you have a proven track record in AI, embedded systems, and product innovation, and you love turning groundbreaking ideas into impactful products, join us to shape the future of intelligent devices. Key Responsibilities: • Own the full lifecycle of AI-first agentic systems, from rapid ideation and requirements gathering through architecture, implementation, hands-on testing, and launch - using AI for all stages unless a human touch is essential. • Work side-by-side with hardware, software, and product teams to embed AI capabilities that drive agentic behavior - autonomy, continuous learning, and real-time adaptability - directly onto smart devices, with human input only when necessary. • Constantly scout, experiment with, and deploy the latest AI models and algorithms - like reinforcement learning and multi-agent systems, adopting new tech every day rather than waiting for monthly cycles. • Push the limits by tuning AI solutions for top-tier performance, ultra-efficient power usage, and bulletproof reliability on our SoC platforms, leveraging AI-driven optimization wherever possible. Required Qualifications: • Showcase your hands-on artifacts in AI product development - with real-world agentic projects or a public GitHub bursting with innovation. • Bring deep mastery in agentic AI systems, from building autonomous agents and crafting reinforcement learning solutions to deploying adaptive algorithms and cutting-edge tech like Retrieval-Augmented Generation (RAG), persistent memory operating systems, and collaborative multi-agent architectures. • Be fluent in Python and C/C++, and have strong street cred using top-tier AI frameworks like TensorFlow and PyTorch. • Crush complex problems, communicate like a pro, and inspire teams with your leadership mojo. Preferred Qualifications: • Deep chops in hardware/software co-design - think seamlessly fusing code and circuits for next-level products. • Hands-on experience building and turbocharging embedded software for devices where every byte and milliwatt counts. • A proven track record shipping game-changing AI and embedded products that actually make it to market. Why Join Us? You'll be at the epicenter of game-changing AI innovation, driving the evolution of intelligent embedded systems that are poised to transform entire industries. Join forces with brilliant engineers, tap into breakthrough technologies, and play a pivotal role in revolutionizing automotive, industrial automation, and IoT. Here, your contributions won't just move the needle - they'll redefine what's possible and shape the future of smart devices worldwide. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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 Who We Are: SmithRx is a rapidly growing, venture-backed Health-Tech company. Our mission is to disrupt the expensive and inefficient Pharmacy Benefit Management (PBM) sector by building a next-generation drug acquisition platform driven by cutting edge technology, innovative cost saving tools, and best-in-class customer service. With hundreds of thousands of members onboarded since 2016, SmithRx has a solution that is resonating with clients all across the country. We pride ourselves for our mission-driven and collaborative culture that inspires our employees to do their best work. We believe that the U.S healthcare system is in need of transformation, and we come to work each day dedicated to making that change a reality. At our core, we are guided by our company values: • Integrity: Our purpose guides our actions and gives us confidence in the path ahead. With unwavering honesty and dependability, we embrace the pressure of challenging the old and exemplify ethical leadership to create the new., • Courage: We face continuous challenges with grit and resilience. We embrace the discomfort of the unknown by balancing autonomy with empathy, and ownership with vulnerability. We boldly challenge the status quo to keep moving forward—always., • Together: The success of SmithRx reflects the strength of our partnerships and the commitment of our team. Our shared values bind us together and make us one. When one falls, we all fall; when one rises, we all rise. Job Summary: On the Data Engineering team, we transform streams of data into insights that solve real-world Pharmacy Benefits Management (PBM) challenges. We empower our Data Analytics and Machine Learning teams to make drug pricing transparent and easy to understand. We deliver business impact by designing, implementing, and maintaining distributed systems to collect, aggregate, and govern pharmaceutical data. We leverage open-source tools like Airflow and DBT built on top of industry-leading data warehouses (e.g., Snowflake), utilize LLMs to optimize workflows, and use Python heavily in our daily work. What you will do: Architecture & Technical Strategy • Define Technical Vision: Define the long-term data engineering strategy guided by company-wide priorities and engineering best practices., • Design Ecosystems: Create coherent designs across multiple pipelines and API boundaries. Reduce complex concepts to foundational components and simplify infrastructure to lower maintenance costs., • Drive Engineering Excellence: Make high-impact technical choices—including "build vs. buy" and framework selections— based on sound reasoning. Review designs to preemptively identify and resolve technical risks., • Improve Developer Efficiency: Implement solutions that measurably improve developer efficiency and establish engineering-wide quality and best practices. Execution & Business Impact • Deliver at Scale: Roll out major features and systems reliably, including appropriate monitoring, failure domain characterization, and success metric definitions., • Align with Business Goals: Leverage a deep understanding of SmithRx's business strategy to identify group-wide opportunities. Proactively refocus team efforts when projects are off-course or not moving the needle for the business., • Manage Data Quality & Governance: Enforce data governance policies (PII/PHI protection, security, compliance) and implement data quality principles to raise the bar for the reliability of data shared internally and externally. Leadership & Collaboration • Influence Cross-Functionally: Influence the roadmaps of other SmithRx teams. Act thoughtfully and decisively in critical situations, seeking diverse perspectives but ultimately leading decision-making to move priorities forward., • Mentor and Develop: Serve as a role model and coach for other engineers, taking into account their unique skills and providing constructive feedback to maximize their impact., • Executive Communication: Develop focused messaging and effectively present technical strategies and business cases at the executive level., • Champion Organizational Change: Break down silos, build deep cross-functional relationships, and create excitement to drive the adoption of new technologies or processes across the organization. What you will bring to SmithRx: • 8+ years of years of industrial experience in data engineering with an advanced degree or 12+ years with an undergraduate degree in Computer Science, Information Technology, or a related field. (Start-up and healthcare experience is highly desirable)., • Demonstrated mastery of data modeling concepts, database design principles, and data warehouse technologies (e.g., Snowflake) through production-grade implementations., • Strong skills in PySpark, SQL, and Python are required. Experience in modern object-oriented or compiled languages such as C#/C++, Go, Java, or Scala is a plus., • Hands-on experience with leading ETL tools and frameworks (e.g., Apache Spark, Apache Airflow, dbt, Looker, Superset)., • In-depth experience managing the entire data lifecycle, with direct responsibility for the development, implementation, and production release of complex data processing solutions utilizing distributed systems., • A proven track record of making decisions optimized for the wider engineering organization rather than locally optimal outcomes, especially in environments with significant ambiguity. What SmithRx Offers You: • Highly competitive wellness benefits including Medical, Pharmacy, Dental, Vision, and Life Insurance and AD&D Insurance, • Flexible Spending Benefits, • 401(k) Retirement Savings Program, • Short-term and long-term disability, • Discretionary Paid Time Off, • 12 Paid Company Holidays, • Wellness Benefits, • Commuter Benefits, • Paid Parental Leave benefits, • Employee Assistance Program (EAP), • Well-stocked kitchen in office locations, • Professional development and training opportunities Zone A includes the following locations: • San Francisco Bay Area - California, • Metro New York City - Connecticut, New Jersey, New York and Pennsylvania Zone A Pay Range $214,200—$252,000 USD Zone B includes the following locations: • California - outside of San Francisco Bay Area, • Metro Denver / Boulder - Colorado, • Metro District of Columbia - District of Columbia, Maryland, Virginia and West Virginia, • Metro Boston / Cambridge - Massachusetts and New Hampshire, • Metro Austin - Texas, • Metro Seattle - Washington Zone B Pay Range $196,400—$231,000 USD Zone C includes all other locations not listed above, including: • Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Mexico, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Rhode Island, South Carolina, South Dakota, Tennessee, Utah, Vermont, Wisconsin, Wyoming, • Non metro Colorado, Connecticut, Maryland, Massachusetts, New Hampshire, New Jersey, New York, Pennsylvania, Texas, Virginia, Washington, and West Virginia Zone C Pay Range $178,500—$210,000 USD Compensation & Benefits • Base Salary: The range listed above reflects our standard pay scale and actual pay will vary based on work location, job level, job-related knowledge, skills, and experience., • Total Rewards: In addition to base pay, this role may be eligible for bonuses, commissions, or equity. SmithRx offers a variety of benefits to help you live well, including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance and 401(k). Individual offers are tailored to your geography, experience, skills, and education. Your recruiter can share more specific details during the hiring process. In the meantime, feel free to explore our comprehensive benefits here.

Job Description 100% Remote. 7.5 hours per day must work in the CST Time Zone 8:00 AM-4:30 PM CST Our direct client has an opening for a UiPath Developer 65886 This client is in Nashville, Tennessee, this contract is 5 months, with the option of extension. Please send us your rate and resume if you are interested. Title: UiPath Developer/System Programmer 4 The UiPath Developer is responsible for designing, developing, testing, deploying, and maintaining Robotic Process Automation (RPA) solutions that improve operational efficiency, accuracy, compliance, and citizen service delivery across state government agencies. This role supports both traditional linear automation workflows and emerging Agentic AI solutions using UiPath’s automation platform. Key Duties and Responsibilities Design, develop, test, and implement UiPath automation solutions for state government business processes. Build and maintain automations including attended, unattended, and scheduled bots for repetitive, rules-based workflows. Analyze business requirements and translate them into scalable automation solutions using UiPath Studio, UiPath Studio Web, Orchestrator, and related technologies. Develop process workflows, exception handling, logging, auditing, and monitoring capabilities for enterprise-grade automation. Create reusable automation components, libraries, templates to support enterprise automation initiatives. Support integration of UiPath solutions with government systems, databases, APIs, document management systems, and cloud services. Implement secure automation practices aligned with state cybersecurity, privacy, and compliance standards. Perform testing, debugging, troubleshooting, and ongoing maintenance of automation solutions. Monitor bot performance, resolve production issues, and optimize automation reliability and efficiency. Develop technical documentation and workflow diagrams. Support citizen service modernization initiatives through intelligent automation technologies. Agentic AI Responsibilities Design and implement Agentic AI solutions using UiPath Autopilot, AI Center, Document Understanding, Communications Mining, and generative AI capabilities. Develop AI-powered agents capable of autonomous decision-making, contextual reasoning, and multi-step task orchestration within defined governance controls. Integrate Large Language Models (LLMs), AI services, and intelligent document processing into automation workflows. Build human-in-the-loop workflows that combine AI agents with employee oversight and approval processes. Develop intelligent agents capable of interpreting unstructured data, emails, forms, documents, and citizen communications. Implement retrieval-augmented generation (RAG), prompt engineering, and AI orchestration techniques within UiPath ecosystems. Ensure responsible AI practices including transparency, auditability, bias mitigation, security, and compliance with government policies. Evaluate emerging AI and automation technologies to improve state operational efficiency and service delivery. Assist with establishing enterprise standards and governance for Agentic AI implementations across agencies. Preferred Technical Skills UiPath Studio, StudioX, Orchestrator, AI Center, Action Center, and Document Understanding REFramework and enterprise RPA design patterns API integrations, REST/SOAP services, SQL databases OCR technologies and intelligent document processing Generative AI, LLM integration, prompt engineering, and AI orchestration Programming/scripting languages such as C#, VB.NET, Python, PowerShell, or JavaScript Cloud platforms and enterprise authentication/security concepts Agile/Scrum development methodologies

Job DescriptionPython Developer – data engineering – GCP – Working Exp with LLMs etc building custom Python applications for large-scale data building pipelines for data processing and deploying in GCP Solid foundation in Machine Learning Extensive experience working with Large Language Models (LLMs) such as Gemini, Claude, and GPT with in-depth understanding of tokenization, embeddings, and context management. Advanced expertise in Prompt Engineering, fine-tuning, and Retrieval-Augmented Generation (RAG) techniques. Experience working with Vector databases and text embeddings. Experience within Google Cloud environments (e.g., BigQuery, Cloud Run). Flexible work from home options available.

Job Description Jiffy.com is seeking Agentic-First Software Engineers (Snr/Staff/Principal) with deep hands-on experience orchestrating AI coding agents to ship production software at pace. Reporting directly to an Engineering Manager and working closely with Product, GM's and other cross functional teams, you will lead the charge on delivering end-to-end features across our e-commerce platform from storefront and checkout to internal tools and platform services while running multiple AI-driven work streams in parallel. At Jiffy, engineers no longer write code by hand: every line that reaches production is produced, tested, reviewed, and deployed by coding agents (Claude Code, Codex, Cursor) under the direction of a human orchestrator. This role is perfect for an individual contributor who has already internalized the shift from “typing code” to “directing agents,” has strong architectural taste and review instincts, and wants to help define what an AI-native engineering org looks like. You will thrive here if you are a systems thinker, a builder by nature, and someone who gets more done by managing five parallel agents well than by writing a single function perfectly. At this time, Jiffy is not able to sponsor or take over sponsorship of an employment visa (e.g., H-1B) for this position. Applicants must be legally authorized to work in the United States without employer sponsorship, now or in the future. Key Responsibilities • Orchestrate AI coding agents (Claude Code, Codex, Cursor) across 3–6 concurrent work streams spanning features, refactors, bug fixes, and investigations using worktrees, sub-agents, and background tasks to maximize parallel throughput., • Own features end-to-end: translate product intent into clear specifications, decompose work into agent-executable plans, drive agents through implementation, review every diff critically, run QA, land PRs, and verify production health., • Design and architect scalable, reliable systems across our stack Rails 8 / Solidus e-commerce, GraphQL APIs, React 19 front end, Kubernetes infrastructure holding the architectural and judgment calls that agents cannot make., • Raise the quality bar on AI-generated code by catching hallucinated APIs, enforcing secure and idiomatic patterns, and pushing back on output that is technically working but structurally wrong., • Build and evolve Jiffy’s internal AI tooling: author skills, rules, prompts, MCP integrations, and evaluation harnesses that make the whole engineering org faster. Contribute to our shared .ai/ skills and rules library., • Operate with production rigor: drive agents to produce meaningful test coverage (RSpec, Vitest, Playwright), monitor deploys, respond to incidents, and fully own the services you ship., • Partner cross-functionally with Product, Design, Ops, and peer engineering teams to define and ship features; participate in architecture and code reviews; mentor engineers on AI-native workflows and orchestration patterns., • Continuously identify where remaining manual work (QA, ops runbooks, data investigations, migrations) can be replaced by agents, and automate it. Requirements Basic Qualifications • Bachelor’s degree in Computer Science, Engineering, or a related field., • 5+ years of professional software engineering experience shipping production systems at scale., • Hands-on experience using AI coding agents (Claude Code, Codex, Cursor, or equivalent) as a primary development tool. This is mandatory. You must be able to walk through real features, refactors, or investigations delivered through agent orchestration — not occasional autocomplete usage., • Proven ability to run multiple agents in parallel and manage concurrent work streams without losing quality, context, or accountability., • Strong software design fundamentals: OO design, API design, data modeling, distributed-system reliability, and performance., • Proficiency in at least one server-side language (Ruby, Python, Go, Java, or equivalent) and one modern front-end stack (React / TypeScript or equivalent), with the expectation that agents produce the code while you direct, review, and validate it., • Experience with relational databases (Postgres / MySQL), SQL, and building or consuming REST or GraphQL APIs., • Elite code-review skills: the ability to read, critique, and correct diffs at speed is the core competency of an AI-first engineer., • Strong written communication — clear intent, clear PR descriptions, clear prompts. In an AI-first org, writing is the programming interface., • A high level of integrity, accountability, and ownership, with a commitment to excellence across every deliverable., • Desire to work in a fast-paced, ambiguous, high-autonomy environment.Preferred Qualifications, • AI Tooling Builder: Experience authoring or extending AI developer tooling — custom skills, slash commands, MCP servers, sub-agents, evaluation harnesses, or prompt libraries used by a team., • E-commerce Depth: Experience with Ruby on Rails and Solidus / Spree, or other large-scale e-commerce platforms., • Modern Front End: Experience with React 19, TypeScript, GraphQL (Apollo), Tailwind, and modern state management (React Query, XState, Jotai)., • Cloud Native Operations: Experience operating services on Kubernetes (Istio, KEDA, Flagger) and modern observability stacks, • Automated QA at Scale: Experience driving agents to maintain and extend test suites with Playwright, Vitest, and RSpec., • AI-Native Leadership: Track record of mentoring engineers on AI-native workflows, publishing internal patterns, or leading an organization through the shift away from manual coding., • Measurable Throughput Gains: Documented improvements in features-per-week, cycle time, or review time directly attributable to AI adoption., • High-Growth Environment: Experience shipping in a fast-paced, agile environment at a high-growth startup or tech company. Benefits What We Offer The base compensation for this role is expected to range from $150,000 - $265,000 per year. Actual compensation will be based on a variety of factors, including skills, experience, qualifications, and overall fit for the role. Total compensation may include base salary, performance-based bonuses, equity, and benefits. Final offers are tailored to each candidate and take into consideration their background and years of experience. • Comprehensive Benefits: Full medical, dental, and vision coverage, with a portion of premiums paid by Jiffy., • Retirement Planning: 401(k), • Wellness Support: Annual wellness benefits to help you stay healthy and balanced., • Tools for Success: Choice of MacBook or PC laptop, plus equipment for your home office setup., • Perks & Extras: Annual credit of $200 to use on our website plus more team merch drops than you will know what to do with!, • Professional Development: Annual stipend to support your learning and career growth. EEO Jiffy is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristics. Jiffy considers qualified applicants with criminal histories, consistent with applicable federal, state and local law.

Job Description Company Overview: Hillwood, a Perot Company, is a premier real estate investment and development company founded on a culture of integrity, respect, excellence and teamwork. The company is a full-service real estate developer, investor and advisor focused on developing opportunities for investors, partners and communities around the world. See additional details at www.hillwood.com. Position Summary: Hillwood IT is seeking a hands-on AI Solutions Engineer to join our growing in-house IT team in Dallas, TX and help build the technical foundation for Hillwood's enterprise AI capability. This role is responsible for converting approved business use cases into secure, reliable, production-grade GenAI solutions, automations, agents, integrations, and RAG-enabled applications that deliver measurable business value. The AI Solutions Engineer will partner closely with AI Business Solutions Engineers, division stakeholders, IT architecture, security, data teams, and governance groups to transform approved AI opportunities into scalable production solutions. This is not a research-only or advisory role. Success is defined by delivering AI solutions that are technically sound, supportable, and trusted by business users while establishing reusable patterns that enable AI capabilities to scale across Hillwood. The ideal candidate is motivated by the opportunity to build more than isolated tools. This individual will help create the technical foundation, standards, and solution patterns that allow AI to become a trusted, repeatable, and high-value capability across the organization. Responsibilities: Technical Solution Design and Engineering: • Partner with AI business solution leads to translate approved business requirements, success metrics, and pilot criteria into technical solution designs and solutions., • Design and build production-grade GenAI applications, automations, agents, and RAG-enabled workflows for approved business use cases., • Create technical designs suitable for Architecture Review Board (ARB), security, and production readiness review., • Develop reusable solution patterns, templates, and implementation standards that can be applied across multiple use cases and divisions., • Balance speed of delivery with reliability, maintainability, and enterprise supportability. GenAI Solution Development and Delivery: • Build, iterate, and deliver production-grade GenAI solutions for approved Horizon 1 use cases., • Design and implement agentic workflows using orchestration frameworks and multi-step agents that perform real actions., • Integrate AI solutions with Hillwood’s existing technology stack, including Claude API, ChatGPT, Copilot, Azure Functions, Power Automate, JDE, Yardi, Salesforce, SharePoint, Medius, Databricks, and other enterprise platforms., • Develop APIs, Azure Functions, workflow automations, backend services, data connectors, and application components required to operationalize AI solutions., • Own technical solution quality, including prompt engineering, structured outputs, output validation, error handling, evaluation, logging, monitoring, and reliability for business-critical use., • Develop AI coding assistant support and CI/CD pipeline integrations for enterprise environments., • Operate within Hillwood’s risk-tier governance framework, ensuring ARB review and lifecycle gates for Medium and High-risk solutions. RAG, Document Intelligence, and AI Platform Patterns: • Implement Retrieval-Augmented Generation (RAG) pipelines, document intelligence workflows, structured extraction workflows, and contextual intelligence patterns., • Build and maintain reusable components for document parsing, chunking, metadata enrichment, embeddings, retrieval, citations, validation, and source traceability., • Support the creation of technical standards for prompts, tools, agents, evaluators, test datasets, and deployment patterns., • Partner with data teams to connect AI workflows to enterprise data platforms, reporting layers, and business systems. Stakeholder Partnership and Pilot Governance Support: • Support discovery, scoping, and prioritization by advising on technical feasibility, implementation complexity, dependencies, risks, and support needs., • Support Steering Committee, division leadership, and ARB presentations by preparing technical architecture, demo environments, implementation status, risk considerations, and production readiness inputs., • Partner with Division AI Champions and business stakeholders to ensure solutions are usable, explainable, and aligned to business workflows., • Prepare or contribute to technical documentation, support readiness assessments, adoption materials, and scale recommendations., • Communicate technical concepts clearly to non-technical stakeholders when needed, while partnering with AI business solution leads on executive framing and ROI narratives. Required Skills and Abilities: • Ability to design, build, and support GenAI solutions, including LLM integration, prompt engineering, structured outputs, and Retrieval-Augmented Generation (RAG) pipelines., • Strong hands-on engineering capability using Python, REST APIs, Azure services, workflow automation tools, and enterprise integration patterns., • Ability to design and implement agent-based and multi-step workflows, including orchestration and execution of real business actions., • Ability to build reliable AI systems with validation, testing, observability, error handling, security awareness, and production supportability., • Ability to translate business-approved requirements into technical implementation plans, architecture diagrams, build tasks, and deployment plans., • Demonstrated ability to apply delivery discipline, including pilot gate methodology, documentation standards, quality validation, and lifecycle governance., • Ability to collaborate cross-functionally with business leaders, AI champions, governance bodies, IT architecture, security, and data teams to drive successful outcomes., • Proficiency in Python for LLM integration, API development, automation scripting, data processing, and evaluation workflows. Education and Experience: • Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science, or related field., • Demonstrated delivery of production-grade GenAI solutions used by real business users., • Hands-on experience designing and building multi-step, agentic workflows using orchestration frameworks., • Experience with at least one major LLM platform (Claude, OpenAI, Azure OpenAI, or equivalent), including prompt engineering, function calling, and structured outputs., • Experience developing Retrieval-Augmented Generation (RAG) solutions and contextual intelligence pipelines., • Experience building APIs, cloud functions, workflow automations, data integrations, or backend services in an enterprise environment., • Azure platform experience, including Azure Functions, Logic Apps, Azure AI Studio, Azure OpenAI Service, Azure AI Search, or related services, preferred., • Experience with Power Automate or similar low-code workflow tools, preferred., • Experience with vector databases, document intelligence pipelines, or advanced RAG architectures, strongly preferred., • Exposure to enterprise data platforms and business systems such as Databricks, Power BI, JDE, Yardi, Salesforce, SharePoint, or Medius, a plus., • Familiarity with real estate, property management, financial services, lease management, AP automation, or property operations, a plus., • Consulting, internal innovation, or client-facing delivery experience is helpful, but deep hands-on delivery ownership is more important for this technical role. What Success Looks Like: • You are the person who turns approved AI opportunities into reliable, production-ready technical applications and business solutions., • You build the technical foundation that allows Hillwood to reuse and scale AI capabilities across divisions., • You earn trust through demonstrated value, clear communication, strong engineering discipline, and reliable solutions that work the first time., • You are comfortable operating in ambiguity, energized by real-world business challenges, and focused on shipping solutions that scale., • You grow into a technical owner for Hillwood’s enterprise AI patterns, solution accelerators, integrations, evaluation practices, and production support standards. EEO Statement: Hillwood is committed to providing Equal Opportunity in Employment, to all applicants and employees regardless of race, color, religion, gender, age, national origin, military status, veteran status, handicap, physical or mental disability, sexual orientation, gender identity, genetic information or any other characteristic protected by law.

Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Senior AI Engineer, Hivemind Learning & Development is a hands-on individual contributor who will build the AI-powered products, content systems, and measurement capabilities that help engineers learn Hivemind faster and apply it successfully. Embedded within the Hivemind Learning & Development team, this role combines production AI engineering, developer experience, and technical education. You will own an AI training coach that provides grounded, context-aware guidance; create tooling that turns learning objectives and product changes into high-quality workshops; and partner with autonomy experts to produce deeply technical curricula, labs, and assessments. The role works closely with Applications Engineering, Hivemind engineering and Customer Success. Success is defined by trusted learning products that ship, shorter time to technical proficiency, faster and more consistent workshop development, content that stays current with Hivemind releases, and clear evidence that training improves customer capability and product adoption. What you'll do: • Develop an AI-powered training coach that helps people learn Hivemind concepts, products, and development workflows., • Create highly technical Hivemind training materials and hands-on workshops for engineers and other technical learners., • Build prompt-based tooling that generates workshops and supporting learning content from defined objectives, audiences, and source materials., • Create LLM-based tooling that automates the ongoing upgrade and improvement of Hivemind training and educational materials., • Build AI tools and systems that enable, streamline, and automate Hivemind Learning & Development workflows. Required qualifications:, • Progressive experience building production software, AI-enabled products, developer tools, technical learning platforms, or comparable systems., • Hands-on experience integrating large language models, generative AI APIs, retrieval-augmented generation, agents, prompt workflows, or AI-assisted automation into production or enterprise environments., • Strong software engineering fundamentals, including API design, testing, observability, documentation, secure coding, maintainable architecture, and operational ownership., • Professional proficiency in Python and the ability to read, debug, and create credible examples in modern C++., • Experience translating complex software or systems concepts into clear technical documentation, hands-on labs, workshops, developer education, or enablement material., • Ability to learn a sophisticated technical product quickly, work directly with subject-matter experts, and convert ambiguous needs into practical, testable learning solutions., • Experience evaluating AI system quality using automated tests, structured human review, telemetry, or task-based performance measures., • Clear written and verbal communication skills, sound technical judgment, and a collaborative style suited to engineers, instructors, customers, and cross-functional partners. Preferred qualifications:, • Experience with autonomy, robotics, aerospace, defense, simulation, distributed systems, or safety-critical software., • Experience with developer education, instructional design, learning science, intelligent tutoring systems, or assessment design for highly technical audiences., • Familiarity with AI evaluation and observability, prompt and agent testing, vector databases, enterprise search, model gateways, and deployment in restricted or disconnected environments., • Experience designing and facilitating hands-on technical workshops for customer engineers, including troubleshooting live technical environments., • Bachelor's degree in Computer Science, Engineering, Robotics, Data Science, Learning Technology, or a related field, or equivalent practical experience. Why this role matters: Hivemind gives engineers a comprehensive platform to develop, test, and deploy AI pilots. The value of that platform depends on how quickly technical teams can build sound mental models, complete real workflows, and apply the software with confidence. This engineer will create the learning systems that make expert knowledge available at the moment of need, reduce the delay between product change and customer readiness, and help the Learning & Development team scale quality without losing technical rigor. #LI-KC3 #LC Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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 DescriptionJob Summary Join OVHcloud and be part of creating the cloud of tomorrow. We empower people who want to grow, make their work stand out, and take ownership of dynamic, meaningful projects. You’ll enjoy autonomy in your work, strong support from management, and the freedom to explore new challenges—helping you make a tangible impact and shape the future of our cloud infrastructure alongside passionate, collaborative peers. The Automation and Tooling Developer is responsible for the design, development, and maintenance of cutting-edge automation solutions that enhance business efficiency. This position collaborates with key stakeholders to understand business needs and create innovative tools and automation scripts to streamline operations. This role is instrumental in advancing OVHcloud DevOps practices, fostering technical excellence, and ensuring robust documentation across all automation processes. Base pay range: $120,000 - $145,000 (based on relevant experience). Essential Duties & Responsibilities • Design, develop, test, and maintain robust automation tools and scripts using programming languages such as Python, Go, PowerShell, or similar., • Work closely with cross-functional teams to gather requirements and deliver tailored automation solutions aligned with business goals., • Integrate automation tools with existing systems, including APIs, databases, and enterprise software, ensuring seamless interoperability., • Ensure the accuracy, performance, and reliability of automation tools through rigorous testing and debugging processes., • Create and maintain comprehensive documentation for tools, scripts, workflows, and processes, ensuring clarity, usability, and accessibility for all stakeholders., • Diagnose and resolve issues with automation systems promptly and efficiently., • Stay abreast of industry trends and emerging technologies to incorporate best practices and innovative solutions into the automation strategy., • Advance the adoption of DevOps principles by implementing CI/CD pipelines and automating infrastructure provisioning using tools like Jenkins, Ansible, or Terraform., • Provide technical guidance and professional development opportunities to cross-functional teams, fostering a culture of learning and continuous improvement., • Apply AI-assisted tooling to daily work and help the team define where it helps and where it doesn't. Required Qualifications • Bachelor's degree in Computer Science, Information Technology, or a related field; equivalent experience considered in lieu of degree., • 5+ years in software development and automation., • Strong knowledge of programming languages, such as Python, Go, PowerShell, or Perl., • Proven experience with automation frameworks, such as Ansible, Puppet, or Terraform., • Working knowledge of current AI/LLM capabilities and limitations, gained through hands-on use (not just headlines), or curiosity about AI and a track record of getting up to speed on new tooling quickly., • Expertise in cloud-native programming languages such as Go, Python, Ruby on Rails, or Java., • Strong understanding of DevOps tools and practices, including CI/CD pipelines (e.g., Jenkins, Git)., • Full stack development experience (front and back end)., • Experience with container orchestration systems like Kubernetes and containerization tools like Docker., • Solid knowledge of REST APIs, HTTP, and JSON integration., • Proficiency in scripting languages (i.e., Bash)., • Familiarity with data integration and processing via APIs, databases, and data warehousing., • Demonstrated ability to produce high-quality documentation that supports development, operations, and stakeholder communication., • Exceptional analytical and debugging skills., • Excellent written and verbal communication skills, with the ability to present complex ideas clearly and effectively., • Experience managing tasks, projects, and teams in a dynamic environment. Our Culture • Autonomy – Take ownership of your work and make decisions that drive impact., • Management Support – Leaders provide guidance, resources, and encouragement to help you succeed., • Collaboration – Work closely with passionate peers in a team-oriented environment., • Freedom of Opinion – Share your ideas openly; your voice is valued., • Meaningful Work – Contribute to projects that matter and see the impact of your efforts., • Recognition – Achievements are acknowledged and celebrated, fueling continued growth.Benefits of Working Here:, • Flexible Work Options -Based on your location you will qualify for hybrid or fully remote work., • Work/Life Balance - Recharge with generous paid time off, sick leave, and flexible hours designed to support your personal and professional life., • Continuous Learning & Growth - Take advantage of OVHcloud’s extensive training programs and professional development opportunities to expand your skills and advance your career., • Comprehensive Benefits - Access top-tier health, dental, vision, and 401(k) plans, plus a range of additional perks to support your overall well-being. Working Conditions Standard office environment. Company Description – About OVHcloud OVHcloud US is a subsidiary of OVHcloud, a global cloud leader and Europe’s top cloud provider, operating over 500,000 servers across 46 data centers on four continents to serve 1.6 million customers in over 140 countries. As a pioneer in trusted and sustainable cloud solutions with an excellent price-performance ratio, OVHcloud has spent over 20 years leveraging an integrated model that ensures total control of its value chain—from server design and data center construction to the orchestration of its fiber-optic network. This unique approach allows OVHcloud to independently meet all customer needs while providing the benefits of an environmentally conscious model, characterized by resource efficiency and an industry-leading carbon footprint. OVHcloud offers latest-generation solutions that combine high performance, predictable pricing, and data sovereignty to support scalable growth. https://us.ovhcloud.com. EEO Statement OVHcloud is committed to providing equal employment opportunities to all employees and applicants without regard to race, ethnicity, religion, color, sex, gender identity or expression, sexual orientation, national origin, ancestry, citizenship status, veteran status, marital status, age, disability, or any other protected status in accordance with all applicable federal, state, and local laws. If you require special accommodations during the application or hiring process, please contact us at hr-questions@priv.ovh.us. Powered by JazzHR 7tmFY4s9GE

Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Shield AI is building autonomous aircraft that redefine aviation. The Software Integration & Operations (SIO) team builds the pipelines, tools, and systems that make fast, reliable delivery of complex aircraft software possible. As a DevOps Build Engineer, you will own and maintain the build system for our autonomous aircraft (XBAT/VBAT). This role is primarily focused on Developer Experience (DevEx) and bringing DevOps best practices to our software engineers to accelerate their development cycles. What you'll do: • Be the expert on our native (C++) software build process., • Improve developer velocity by reducing build/test cycle time and eliminating pipeline bottlenecks., • Collaborate with Software Engineers to understand their requirements, propose designs, and implement identified solutions., • 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 related to build system performance for both local development and CI workflows., • Use agentic solutions to aid in quickly identifying root cause around build failures and getting the appropriate feedback to a Software Engineer. Required qualifications:, • BS in CS, CE, EE, or related field with 7+ years industry experience (or MS/PhD with 5+ years)., • Deep CMake/C++ expertise or equivalent., • Strong understanding of dependency management and proficiency with either Conan or CPM., • Proficiency with containers and orchestration (Docker, Kubernetes, cloud build clusters)., • Strong scripting skills (Python, Bash)., • 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, • Proficiency with CICD tools (Azure DevOps, Jenkins, Gitlab)., • Cloud Operations experience (Azure, AWS, GCP)., • Familiarity with infrastructure-as-code (Terraform, Ansible) and monitoring (Grafana, Prometheus)., • Background in robotics, autonomy, or aerospace systems. #LI-SM1 #LD Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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 *This position is hybrid in: • Plano, TX,, • NY, NY, • Pennington, NJ, • Jersey City, NJ OUR COMPANY: EOS IT Solutions is a Global Technology and Logistics company, providing Collaboration and Business IT Support services to some of the world's largest industry leaders, delivering forward-thinking solutions based on multi-domain architecture. Customer satisfaction and commitment to superior quality of service are our top business priorities, along with investing in and supporting our partners and employees. We are a true International IT provider and are proud to deliver our services through global simplicity with trusted transparency. WHAT YOU WILL DO: We are seeking a Principal Architect for Network Services and Automation to lead next-generation automation capabilities across network provisioning, configuration management, API strategy, and orchestration pipelines. This role focuses on delivering world-class APIs and self-service capabilities for network services across the enterprise. KEY RESPONSIBILITIES: • Define target-state automation and orchestration architecture., • Lead API-first design for world-class network service APIs., • Architect CI/CD and GitOps-based orchestration pipelines., • Build automation frameworks for network provisioning and config management., • Drive model-driven configuration and intent-based networking., • Create self-service workflows, catalogs, and integration patterns., • Govern API lifecycle, schema design, documentation, and standards., • Lead cross-functional delivery with Network, Security, and Platform teams. ESSENTIAL CRITERIA: • 10+ years in Network Engineering/Architecture., • Expertise in automation frameworks (Python, Ansible, Terraform)., • Strong API design experience (REST/GraphQL, OpenAPI specs)., • Experience with orchestration tools (GitHub Actions, GitLab CI, Jenkins, ArgoCD)., • Strong understanding of routing, switching, firewalls, and cloud networking., • Experience with config/state mgmt and source-of-truth systems. DESIRABLE CRITERIA: • Experience with event-driven automation., • Exposure to Kubernetes networking and ingress/egress automation., • Experience building internal developer platforms or portals., • Certifications: CCNP/CCIE, DevNet The EOS pay range for this job is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, experience, education, knowledge, skills, and abilities, as well as internal equity, market data, or other laws. EOS is committed to creating a diverse and inclusive work environment and is proud to be an equal opportunity employer. We invite you to consider opportunities at EOS regardless of your gender; gender identity; gender reassignment; age; religious or similar philosophical belief; race; national origin; political opinion; sexual orientation; disability; marital or civil partnership status or other non-merit factor. #INDNAMER #LI-HH1 Pay Range $170,000—$200,000 USD

Job Description Overview CTG is seeking to fill a Full Stack Developer - Media & Streaming Platforms position for our client. Location: Dallas, TX Duration: 10 months Duties: Design, develop, and support next-generation digital platforms, content delivery applications, streaming solutions, and customer-facing experiences. Develop scalable front-end and back-end applications across the full technology stack. Build and integrate solutions supporting media content management, video delivery, subscriber platforms, advertising technology, and digital user experiences. Troubleshoot, debug, and resolve software defects and performance issues. Implement security, scalability, reliability, and performance best practices. Develop and execute unit, integration, and end-to-end testing strategies. Participate in code reviews and provide constructive feedback. Optimize applications for speed, scalability, and user experience. Support CI/CD pipelines and deployment automation. Stay current with emerging technologies and recommend improvements to existing systems. Skills: Front-End: React, Angular, Vue.js, JavaScript, TypeScript, HTML/CSS, Bootstrap, Tailwind Back-End: Node.js, Java, Spring Boot, .NET Core, Python, Express.js Database: SQL Server, PostgreSQL, MySQL, MongoDB DevOps & Cloud: Git, Jenkins, CI/CD, cloud-based application development Experience: 3+ years of full stack development experience. 3+ years of experience in Media, Entertainment, Broadcasting, Streaming, Telecommunications, or Digital Content industries. Experience developing digital platforms, streaming solutions, content delivery applications, or customer-facing applications. Experience with application integration, testing, troubleshooting, performance optimization, and CI/CD processes. Strong understanding of scalable, secure, and reliable application development. Education: Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field preferred, or equivalent combination of education and experience. Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required. CTG does not accept unsolicited resumes from headhunters, recruitment agencies, or fee based recruitment services for this role. To Apply: To be considered, please apply directly to this requisition using the link provided. Kindly forward this to any other interested parties. Thank you!

Job DescriptionTitle: Python Developer Location: Dallas, TX, Atlanta, GA or COlumbus, Oh Onsite Duration: 12+ Months Must be local only - within 40 miles area - Relocation will not work Any Visa - Except Gc/ GC EAD Min 12+ Years exp Job Description: Min 12 Years exp required Strong exp on Python Exp on AWS

Job Description IERUS specializes in electromagnetic spectrum technologies and design for RF, IR, and optical applications. IERUS also supports customers with a diverse set of competencies including software development, air and missile defense, and systems engineering. IERUS develops value for our defense and commercial customers through accelerations of the technology life cycle: identifying, creating, transitioning, and producing technologies with integrity of purpose and product. IERUS is always looking for bright, talented, motivated, and dedicated employees in the engineering field. IERUS offers competitive compensation packages, retirement options, and benefits packages. To learn more, please visit www.ierustech.com. Overview: As an Embedded Developer, you will be responsible for the design, development, and validation of embedded software within prototype RF systems and test apparatus used to validate radar processing algorithms. You will work within a multidisciplinary team of engineers to integrate embedded software and hardware components into a high-quality prototype. Responsibilities: · Design embedded interface architecture to system level requirements · Implement firmware to interface PS/PL and other components · Develop software to implement radar processing algorithms · Generate interface documentation between software/firmware interface · Develop user GUI and manual for test team to execute tests; · Analyze data to determine root cause of failure and generate reports/presentations; and · Work with engineers across IERUS locations to coordinate development capability to meet program development milestones. Required Qualifications: · Must be a US Citizen · Bachelor’s in electrical or computer engineering; · Knowledge of or experience in digital signal processing techniques; · Experience with Xilinx Vivado and Petalinux builds; · Experience with VHDL/Verilog · Experience with C/C++ · Experience with MATLAB, Python, and/or other scripting languages; · Ability to travel up to 25%; and · Demonstrate effective verbal and written communication skills. Preferred Requirements: · Current SECRET security clearance. · Experience with realtime operating system embedded development; · Knowledge of data analysis techniques; · Experience with MOSA VPX chassis configuration and development; · Familiar with gnu compiler options and build tools (make, cmake, etc.); and · Active or ability to obtain TOP SECRET security clearance. Location: Tulsa, OK IERUS Technologies is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age, or any other federally protected class. IERUS Technologies participates in E-Verify.

Salary: $104,000 - 208,000 per year Requirements: • We require fluency in English at a native or bilingual level., • We require strong proficiency in at least one of the following: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Kotlin, or Swift., • We require excellent writing skills and a strong command of grammar., • We require a bachelors degree, either completed or currently in progress., • We prefer prior experience as a Software Developer, Coder, Software Engineer, or Programmer., • We are seeking candidates who are eligible to work from the US, Canada, the UK, Ireland, Australia, or New Zealand. Responsibilities:, • We design and solve a wide range of coding challenges that help train our AI systems., • We write clear, high-quality code examples and thorough explanations., • We review AI-generated code for correctness, efficiency, and readability., • We share feedback that helps improve the next generation of AI models., • We work on programming tasks such as building apps, solving complex coding problems, and analyzing data through visualization. Technologies:, • AI, • C#, • Support, • Java, • JavaScript, • Kotlin, • Machine Learning, • Python, • React, • Swift, • TypeScript More: We are DataAnnotation, and we offer a remote contract opportunity for an Application Engineer - AI Trainer to help us advance cutting-edge AI development. Our platform brings together a large and growing community of more than 100,000 professionals across coding and machine learning disciplines, all contributing to real-world AI progress. We provide flexible scheduling, fully remote work, and competitive hourly pay of up to $100+ USD per hour, with stronger performance opening the door to higher-paying projects. We also support a simple onboarding process that begins with a short assessment, and once approved, paid work becomes available through our platform. Our team members can fit this work around other commitments or make it their primary focus, choosing projects and hours that match their goals and availability. last updated 41 week of 2026

Senior Agentic AI Engineer Embedded Engineering Engagement We are hiring Senior Agentic AI Engineers to join a high-impact engineering team building the next generation of AI-driven software testing and developer workflows. This is not a traditional ML research or model-training role. We are looking for strong software and systems engineers who know how to build with AI agents: designing agentic workflows, integrating agents into existing engineering systems, managing context effectively, and making AI-driven automation reliable enough for real-world use. The ideal engineer is hands-on, highly autonomous, comfortable navigating a large codebase, and able to take an ambiguous problem from concept through implementation. What You'll Work On You may work across several closely related areas, including: • Agentic workflow integration — Integrating autonomous AI workflows into existing engineering and test infrastructure., • AI-driven test automation — Improving systems that generate, execute, analyze, and maintain automated tests., • Context management — Building systems that provide agents with the right code, history, tools, state, and information at the right time., • Developer-agent tooling — Improving how AI agents interact with repositories, build systems, test infrastructure, and engineering workflows., • Reliability and evaluation — Debugging agent behavior, identifying failure modes, and improving the consistency and usefulness of agent-generated results. Responsibilities • Design, build, and integrate production-oriented agentic AI workflows., • Develop tooling that enables AI agents to interact effectively with large codebases and engineering systems., • Improve automated testing and test-generation workflows using LLMs and coding agents., • Design context-management and retrieval strategies for long-running or complex agent workflows., • Debug failures across agents, tools, builds, tests, and surrounding infrastructure., • Build integrations between agentic systems and existing developer/test platforms., • Evaluate agent output and develop mechanisms to improve reliability and reduce failures or unnecessary human intervention., • Work directly with senior technical stakeholders to turn loosely defined problems into working systems., • Own projects end-to-end and communicate progress, risks, and blockers clearly. What We're Looking For Required • 5+ years of professional software engineering experience, or equivalent demonstrated depth., • Strong Python and/or comparable systems/backend programming experience., • Strong Linux and software-debugging fundamentals., • Experience building or integrating LLM-powered applications, coding agents, or agentic workflows., • Experience with APIs, developer tooling, automation, test infrastructure, CI/CD, or large software systems., • Ability to understand and modify unfamiliar codebases quickly., • Strong engineering judgment around reliability, observability, testing, and maintainability., • Excellent written and verbal communication., • Demonstrated ability to independently drive ambiguous technical work. Particularly Valuable Experience • Claude Code, Claude SDK/API, or similar coding-agent platforms., • Agent orchestration, tool use/function calling, MCP, skills, subagents, or multi-step agent workflows., • Context engineering, context management, retrieval, memory, or prompt/tool architecture., • Automated testing frameworks or AI-generated testing., • Large-scale developer infrastructure or internal engineering platforms., • Android, wearables, AR/VR, or other device-oriented development environments., • CI/CD, build systems, containers, telemetry, or production debugging., • Experience embedding AI capabilities into an established engineering ecosystem rather than building standalone demos. Deep ML, computer vision, and model-training expertise are not required. The Engineer Who Will Thrive Here We are looking for someone who combines strong engineering fundamentals with an AI-native way of working. You should be comfortable receiving a problem rather than a detailed implementation plan, investigating the surrounding system, collaborating with stakeholders, and driving toward a working solution. You communicate proactively, surface blockers early, document important decisions, and maintain visibility while working independently. This is a high-autonomy environment where ownership matters as much as technical ability. Example Problems You might be asked to: • Integrate an autonomous testing agent with an existing test platform., • Improve an agent's ability to understand and navigate a large repository., • Build context-management infrastructure for multi-step agent workflows., • Automate portions of test creation, execution, debugging, or maintenance., • Determine why an agent succeeds on some workflows but fails unpredictably on others., • Design tooling that lets an agent safely interact with existing developer infrastructure., • Reduce the amount of human intervention required to complete complex engineering workflows. Engagement Long-term consulting engagement working directly with engineers at a major technology company. Remote, with substantial collaboration across engineering teams.

Partner Solutions Engineer, US Function: Technology Partner Management & Partner Engineering Dotted-line partnership: Commercial Enablement / Ecosystem Position: Remote, East or Central USA About Napster: Founded on the principle of democratizing access, first to music in 1999, now to expertise in the AI era, Napster has consistently remained at the forefront of technological shifts that empower users. Today, the company builds embodied, multimodal AI agents that engage employees and customers where they already work: through video presence, voice, and text. Designed to work alongside people rather than replace them, Napster’s agents carry institutional knowledge into every interaction, elevating the user’s experience and improving business outcomes. For more information, visit napster.com. Role Overview We are looking for a Partner Solutions Engineer to join our Technology Partner Management function. This role is the hands-on technical enablement counterpart to our Technical Partner Managers. While Technical Partner Managers own the broader technical partner relationship, strategy, positioning, and coordination across pre-sales and post-sales, the Partner Solutions Engineer is focused on helping turn those strategies and opportunities into tangible partner and customer experiences. The Partner Solutions Engineer will work across partner pursuits, ecosystem development, onboarding, demos, and partner program design. The role sits within Technology Partner Management but works closely with Commercial Enablement and Ecosystem teams through a dotted-line relationship. The purpose of the role is to help partners understand, demonstrate, position, and build with our technology, while also creating reusable enablement assets and scalable partner programs that improve effectiveness across the broader ecosystem. How This Role Complements Technical Partner Managers The Partner Solutions Engineer and Technical Partner Manager roles are complementary. Technical Partner Manager The Technical Partner Manager primarily owns: • The technical partner relationship and engagement strategy., • Technical positioning across the partner lifecycle., • Pre-sales and post-sales technical orchestration., • Partner readiness, adoption, and technical planning., • Alignment across partner, sales, product, and technical stakeholders., • Helping partners understand how to position and present our technology., • Identifying technical opportunities, gaps, and partner development priorities. Partner Solutions Engineer The Partner Solutions Engineer primarily owns: • Hands-on demo development and technical execution., • Technical enablement for partners., • Pursuit-specific demos, prototypes, and solution assets., • Technical workshops and partner build sessions., • Developing reusable enablement assets and frameworks., • Supporting partner onboarding from a practical and hands-on perspective., • Building scalable components that strengthen partner programs and ecosystem readiness. Core Responsibilities Commercial Enablement and Pursuit Support • Support partner-led and joint customer pursuits by building compelling demos, prototypes, proofs of concept, and technical solution experiences., • Work with Technical Partner Managers, sales teams, and partners to translate commercial and customer use cases into practical demonstrations., • Help partners understand how to position, present, and demonstrate our technology in customer conversations., • Adapt technical assets and demos to support specific industries, partner propositions, and customer scenarios., • Participate in customer and partner workshops where hands-on technical depth can help advance an opportunity., • Support commercial teams with the technical assets and demonstrations required to increase partner confidence and improve pursuit quality. Partner Enablement • Provide hands-on technical enablement to partners across the US., • Walk partners through our APIs, platform capabilities, integrations, solution patterns, and relevant technology stack., • Deliver workshops, demo sessions, technical onboarding, build sessions, and partner enablement activities., • Help partner teams move from understanding the proposition to being able to demonstrate and use the technology themselves., • Support partners in developing their own demos, solution propositions, and customer-facing technical stories., • Create reusable content and assets that allow partner teams to become more self-sufficient. Partner Programs and Ecosystem Development • Work closely with the Commercial Enablement and Ecosystem teams to build scalable partner programs., • Translate recurring partner needs into structured enablement frameworks, technical journeys, and reusable program components., • Help define practical onboarding and readiness experiences for different partner types., • Build demo kits, solution patterns, technical playbooks, workshop content, reference implementations, and other reusable assets., • Contribute to partner certification, accreditation, onboarding, and solution-readiness programs where appropriate., • Help scale successful approaches from individual partner engagements across the wider ecosystem. Demo and Solution Development • Build, maintain, and improve reusable technical demos and showcase environments., • Develop prototypes and proofs of concept that demonstrate partner and customer use cases., • Work with APIs, SDKs, integrations, and relevant technology stacks to create working examples., • Identify opportunities to standardize and automate frequently used demo and enablement assets., • Collaborate with Product and Engineering teams where deeper technical support or product feedback is required. Cross-Functional Collaboration • Partner closely with Technical Partner Managers to support their strategic partner engagements., • Maintain a strong dotted-line relationship with the VP of Commercial Enablement and Ecosystem teams to build, and maintain solution books as well as programs built to drive activation onboarding and adoption., • Work with Partner Management, Product, Engineering, Solutions, and GTM teams., • Share patterns from partner engagements to improve enablement, product experience, and partner programs., • Provide structured feedback on areas where partners need additional tooling, content, demos, or technical guidance. What We’re Looking For • Strong hands-on technical experience working with APIs, SDKs, integrations, and modern application technologies., • Ability to build and troubleshoot demos, prototypes, and proof-of-concept solutions., • Experience in Solutions Engineering, Partner Engineering, Developer Enablement, Technical Enablement, or a similar hands-on customer- or partner-facing role., • Ability to combine technical depth with strong commercial awareness., • Comfortable working directly with partners, sales teams, and customers during active pursuits., • Strong ability to explain technical concepts in a way that supports a commercial conversation., • Experience developing reusable technical enablement, demo assets, or partner-facing content., • Ability to turn individual use cases into scalable frameworks and programs., • Strong communication, presentation, and stakeholder management skills., • Comfortable operating across different partner types, markets, and technology stacks. Nice to Have • Experience working within a partner, alliance, channel, or ecosystem organization., • Experience supporting partner-led sales or joint customer pursuits., • Experience building partner onboarding or readiness programs., • Experience creating technical demos, accelerators, or solution showcases., • Familiarity with Python, JavaScript/TypeScript, Java, or similar languages., • Experience with cloud platforms, APIs, developer tools, Git, CI/CD, and integration technologies., • Experience in SaaS, AI, platform, or API-led businesses. What Success Looks Like Success in this role means our partners become more effective at positioning, demonstrating, and using our technology, and our ecosystem can scale without relying on bespoke technical support for every opportunity. You will be successful when: • Partners can confidently demonstrate our technology in customer conversations., • Strategic pursuits have strong, relevant, and reusable technical assets., • Technical Partner Managers have a hands-on counterpart who can rapidly turn strategy into execution., • Partners reach practical technical readiness faster., • Reusable demos, frameworks, and enablement assets are used across multiple partners and markets., • Partner programs become more structured, scalable, and technically relevant., • The broader ecosystem becomes increasingly self-sufficient. Role Profile The role will typically span: • Commercial enablement and solution playbooks and development, • Partner onboarding and technical enablement, • Partner program and ecosystem development Team Operating Model The Partner Solutions Engineer sits within Technology Partner Management and works directly alongside Technical Partner Managers. The role also maintains a strong dotted-line partnership with Commercial Enablement and Ecosystem, reflecting its responsibility for converting technical capability into scalable commercial enablement, partner readiness, and ecosystem programs. The role is therefore positioned at the intersection of: • Technology Partner Management, • Commercial Enablement, • Ecosystem Development Core Mission Turn partner strategy and customer opportunities into hands-on demos, scalable enablement, and repeatable partner programs. Our Culture: • Impact: Play a crucial role in our growth journey., • Culture: Join a vibrant team valuing creativity and collaboration., • Growth: Thrive in a fast-paced, dynamic environment., • Reward: Enjoy competitive compensation, equity opportunities, and comprehensive benefits. Ready to shape our future? Apply now and be part of something extraordinary! We’re looking for more forward-thinking, collaborative people to be part of our innovation journey and mission to push the boundaries of technology. If you’re ready to help us achieve this vision, we’d love to hear from you! At Napster Corp, we're looking for people who are invigorated by our values and driven to change the world, not those who simply check off boxes. Napster Corp embraces a diversity of backgrounds and experiences and provides equal opportunity for all applicants and employees. We strive to build a company that reflects a global audience.

𝗦𝗲𝗻𝗶𝗼𝗿 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗙𝗮𝗯𝗿𝗶𝗰 & 𝗘𝘃𝗲𝗻𝘁-𝗗𝗿𝗶𝘃𝗲𝗻 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁 (𝗖𝗼𝗻𝘀𝘂𝗹𝘁𝗶𝗻𝗴) AOPartners has been retained by a confidential client to find a senior, hands-on Integration Architect to accelerate its Salesforce-to-Microsoft Fabric customer master platform. It is not a "Fabric developer" or "Data Engineer" role. We want an integration architect who has already solved this exact class of problem: real-time Salesforce eventing into Fabric, with customer master sync across multiple downstream applications. You'll lead the architecture and write the code. 𝗙𝗶𝗿𝘀𝘁 𝟯𝟬 𝗗𝗮𝘆𝘀 • Review and validate the end-to-end Salesforce → Fabric → downstream architecture, • Assess code quality, technical debt, scalability risks, and supportability, • Establish event contract standards and schema governance, • Stand up deployment and release management processes, • Eliminate single points of failure and harden resiliency, • Accelerate downstream consumer integrations across multiple enterprise applications, • Implement automated and regression testing for customer master events 𝗙𝗮𝗯𝗿𝗶𝗰 & 𝗔𝘇𝘂𝗿𝗲 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 • Deep hands-on Fabric experience: Eventstreams, Notebooks, Lakehouse, Warehouse, Real-Time Analytics, • Enterprise-scale Pub/Sub and event-driven architecture design and delivery, • Azure Container Apps, Event Hubs, and Service Bus integrated with Fabric, • Event routing, replay, dead-letter patterns, and idempotent processing, • Performance tuning for Fabric workloads and event pipelines, • Observability, logging, monitoring, and production support readiness 𝗦𝗮𝗹𝗲𝘀𝗳𝗼𝗿𝗰𝗲 𝗘𝘃𝗲𝗻𝘁𝗶𝗻𝗴 • Expert in Platform Events, Pub/Sub API, and gRPC integrations, • Real-time integration experience, not batch ETL, • OAuth, event subscriptions, replay IDs, and resiliency patterns, • Bidirectional Salesforce-to-enterprise integration design 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗘𝘅𝗰𝗲𝗹𝗹𝗲𝗻𝗰𝗲 • True software engineering background, not low-code only, • Java, Python, Spark, and modern API development, • Automated testing frameworks for event-driven systems, • Code review discipline, design patterns, coding standards, and CI/CD, • Track record refactoring prototypes into production-quality solutions 𝗔 𝗣𝗹𝘂𝘀 • Customer master / MDM synchronization across multiple applications, • CDC, event sourcing, data contracts, and schema management, • Canonical customer models and downstream distribution patterns, • Data quality frameworks and validation rules, • Customer onboarding, update, and account sync workflows 𝗘𝗻𝗴𝗮𝗴𝗲𝗺𝗲𝗻𝘁 • Type: Contract / 1099, • Duration: 1 to 3 months, • Start: ASAP #MicrosoftFabric #Salesforce #EventDrivenArchitecture #Azure #IntegrationArchitecture #Hiring

Automation Engineer -- UiPath -- RPA Developer -- Long-term Contract -- REMOTE (No 3rd Party Vendors / Must be USC or Green Card for this role.) We're seeking to connect Automation Engineers / RPA Developers (UiPath) with a nationally recognized organization on a contract basis. The role is remote with some travel to the Detroit, MI area for meetings. As an Automation Engineer / RPA Developer, you will have the opportunity to join a passionate, motivated team and leverage your expertise in robotic process automation, API integration, and enterprise workflow automation. This role is open to candidates ranging from mid-level to senior, making this a strong fit for automation professionals at multiple career stages. If this role is an ideal fit for you, we want to hear from you. Refactor Talent is committed to connecting top talent with incredible opportunities. We would like to help you succeed as you navigate your career search. Apply now so that we can take these next steps together. About the Role Automation Engineers / RPA Developers (UiPath) will design, build, and support enterprise automation workflows, develop RPA solutions, and collaborate with various stakeholders to align automation efforts with business needs in a remote role with some travel to the Detroit, MI area. Responsibilities • Design, build, and support enterprise automation workflows across finance, underwriting, claims, and business operations, • Develop robotic process automation (RPA) solutions to improve operational efficiency, • Automate business and operational processes across enterprise functions, • Integrate APIs and cloud-based services into automation workflows, • Support document-processing and workflow automation initiatives, • Collaborate with architects, operations teams, and business stakeholders to align automation efforts with business needs, • Participate in Agile/Scrum development processes, • Troubleshoot and optimize existing automation solutions Qualifications • Bachelor's degree in Computer Science, Information Systems, or a related field, • 2–5+ years of hands-on automation engineering experience Required Skills • Experience with RPA platforms such as UiPath (UiPath is Required), • Proficiency in Python, Java, and/or .NET/C#, • Experience consuming and integrating APIs, • SQL/database experience, • Exposure to business operations and workflow automation, • Understanding of Agile/Scrum methodologies Preferred Skills • Insurance or financial services experience is a plus, • Experience supporting Office of CFO or finance operations is a plus, • Knowledge of Lean/Six Sigma methodologies is a plus, • Experience with document-processing workflows is a plus, • Exposure to machine learning or AI-enabled automation is a plus

A fast-growing AI software company is hiring a Senior Software Engineer, Founding Engineer in NYC to help build a modern enterprise ai native management platform. You will be the lead developer responsible for the development the technology and ai layer, and will responsible to transform it into a scalable software platform. The ideal candidate is self-motivated, a multi-tasker, and demonstrated team-player. If you are looking for ownership, autonomy, and a chance to work at fast paced start up shipping products from 0-1, this may be the role for you. This role is fully remote across the US. Responsibilities • Writing clean, high-quality, high-performance, maintainable code, • Creating scalable software platforms, • Developing agentic ai agents or fine tuning LLMs, creating RAG architecture, • System design and architecture, • Cloud native architecture and product development, • Working closely with stakeholders and clients, • Coordinate cross-functionally to insure project meets business objectives and compliance standards, • Support test and deployment of new products and features, • Participate in code reviews Qualifications • Bachelor's degree in Computer Science (or related field), • 4+ years of relevant work experience, • Start up experience or shipping a product from 0-1, • Expertise in React/Next.js, Typescript and Python, • Expertise in system design and architecture, • Experience with Agile or Scrum software development methodologies

Job Title: Azure .NET Developer Location: Greenwood Village, CO (Remote) Duration: Contract To Hire Benefits: Medical, dental, and vision insurance are available to qualified candidates Job Description: Candidate will provide expertise and ownership of Azure software development tasks within the scrum team. Interacts effectively with clients and leadership, and can adapt communication for the appropriate audience. Reads and comprehends software requirements, assisting with development of agile user stores and tasks. Assists with troubleshooting software application and configuration issues Assists with Azure application deployments, testing, configuration, and installation. Assists with performance tuning Ensures security is a priority and understands the various areas where security vulnerabilities arise Ensures application resiliency, and disaster recovery Documentation and Knowledge Sharing: Creates detailed documentation for the application. Facilitates knowledge sharing within the team for effective collaboration Essential Skills and Experience Required: • 5+ years proven experience as a Lead .Net application developer developing and deploying APIs, websites, and related software into the Azure cloud, • Full stack capability, • Strong and current familiarity with Azure platforms and services, including Azure App Services, Azure API Management, Key Vault, Azure Monitor, Azure Application Insights, Azure SQL, etc., • Expertise with Visual Studio, C#, Python, Docker, JSON, REST Services, OIDC, SAML, HTML frameworks such as Angular or React, and similar Azure development technologies., • Familiarity and hands-on experience with Infrastructure as Code (IaC) tools such as Terraform is a plus, • Strong understanding of security best practices for Azure deployments, including code scanning, access controls, IAM, and data encryption., • Awareness of FedRAMP, FISMA, and/or Zero Trust Architecture strongly desired., • Experience with CI/CD pipelines and deployment automation using tools like Azure, • DevOps Experience with Agile methodologies, Scrum Excellent problem-solving skills and a proactive approach to identifying and resolving issues, • Strong teamwork, leadership skills and communication. Technical skills should include: • MS Azure, • Azure Dev Ops, • Jenkins, • ASP. Net, • C#, • Java Script, • HTML, • Typescript, • Angular, • Git, • Terraform, • Fortify, • Sonatype

𝐏𝐀𝐓𝐇𝐖𝐀𝐘 𝐏𝐎𝐖𝐄𝐑 Associate, Investment & Capital Markets (ICM) 𝐃𝐞𝐩𝐚𝐫𝐭𝐦𝐞𝐧𝐭: Investment & Capital Markets 𝐑𝐞𝐩𝐨𝐫𝐭𝐬 𝐓𝐨: Senior Director, Investment & Capital Markets 𝐋𝐨𝐜𝐚𝐭𝐢𝐨𝐧: Remote 𝐄𝐦𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 𝐓𝐲𝐩𝐞: Full-Time, Exempt 𝐓𝐫𝐚𝐯𝐞𝐥: Up to 20% 𝐀𝐛𝐨𝐮𝐭 𝐏𝐚𝐭𝐡𝐰𝐚𝐲 𝐏𝐨𝐰𝐞𝐫 At Pathway Power, our mission as a developer, investor, and long-term steward of renewable energy projects is to meticulously curate a balanced portfolio of assets — emphasizing enduring partnerships and a differentiated approach through the integration of data, analytics, and AI. Addressing the evolving challenges of the power grid and energy transition, our commitment is to provide reliable, resilient, and affordable clean energy precisely when needed. Pathway Power is dedicated to being on the leading edge of environmental stewardship, efficiency, and innovation — lighting the way toward a more sustainable future for all. 𝐀𝐛𝐨𝐮𝐭 𝐭𝐡𝐞 𝐑𝐨𝐥𝐞 We are seeking an Associate to join our Investment & Capital Markets team. Reporting to the Senior Director of Investment & Capital Markets, this person will play a hands-on role in structuring, executing, and closing project finance transactions across our utility-scale solar PV and battery energy storage (BESS) development pipeline. This is an early-career, high-impact position on a lean, fast-moving team. The Associate will work directly on live transactions, building financial models, supporting investor and lender diligence, preparing investment committee materials, and coordinating across legal, development, and engineering teams to bring projects to financial close. We are looking for someone who is analytically rigorous, intellectually curious, and eager to grow with the company as we scale. 𝐖𝐡𝐚𝐭 𝐘𝐨𝐮'𝐥𝐥 𝐃𝐨 𝐓𝐫𝐚𝐧𝐬𝐚𝐜𝐭𝐢𝐨𝐧 𝐄𝐱𝐞𝐜𝐮𝐭𝐢𝐨𝐧 & 𝐒𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐢𝐧𝐠 • Support end-to-end execution of project finance transactions, including construction debt, term debt, tax equity (partnership flip, preferred equity, tax credit transfers), and other structured capital products for solar PV-hybrid and BESS projects., • Assist in preparing and distributing financing packages, responding to lender and investor due diligence requests, and coordinating third-party consultant reports (independent engineer, insurance, legal, environmental)., • Track transaction timelines and critical path milestones; manage internal and external workstreams to keep closings on schedule., • Review and redline term sheets, credit agreements, and financing documents in collaboration with legal counsel and senior team members. 𝐅𝐢𝐧𝐚𝐧𝐜𝐢𝐚𝐥 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠 & 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 • Build, maintain, and stress-test project-level financial models for solar PV-hybrid and BESS assets, including construction-period draws, operating cash flows, debt sizing and sculpting, tax equity structures, and sponsor equity returns., • Develop and run scenario and sensitivity analyses to support investment decisions, financing strategy, and lender negotiations., • Support valuation and bid pricing for development-stage and operating project acquisitions., • Maintain model integrity and version control across an active transaction pipeline. 𝐈𝐧𝐯𝐞𝐬𝐭𝐦𝐞𝐧𝐭 𝐂𝐨𝐦𝐦𝐢𝐭𝐭𝐞𝐞 & 𝐒𝐭𝐚𝐤𝐞𝐡𝐨𝐥𝐝𝐞𝐫 𝐑𝐞𝐩𝐨𝐫𝐭𝐢𝐧𝐠 • Prepare high-quality investment committee memoranda, lender presentations, and financing marketing materials at key transaction milestones (NTP, financial close, refinancing)., • Support preparation of board-level and investor reporting related to the capital investment portfolio., • Assist with lender compliance reporting, including borrowing-base certificates, covenant monitoring, and periodic draw requests. 𝐈𝐧𝐯𝐞𝐬𝐭𝐨𝐫 & 𝐒𝐭𝐚𝐤𝐞𝐡𝐨𝐥𝐝𝐞𝐫 𝐑𝐞𝐩𝐨𝐫𝐭𝐢𝐧𝐠 • Prepare high-quality monthly and quarterly reporting packages for executive leadership, the Board, investors, and lenders., • Manage loan compliance and periodic reporting to lenders and investors, including borrowing-base monitoring, and timely submission of required deliverables., • Produce investor decks, KPI dashboards, and management reporting that clearly communicate financial and operating performance., • Support due diligence, financing processes, and lender/sponsor reporting requirements. 𝐌𝐚𝐫𝐤𝐞𝐭 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 & 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐒𝐮𝐩𝐩𝐨𝐫𝐭 • Monitor capital markets activity in the renewable energy sector, including tax equity investor appetite, debt pricing trends, ITC/PTC developments, and emerging financing structures for BESS., • Support early-stage financial assessment of new development opportunities, including project screening, capital stack optimization, and return analysis., • Coordinate with Development, Engineering, and Legal teams to ensure project contracts and offtake terms are appropriately reflected in financial models and financing packages. 𝐐𝐮𝐚𝐥𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 • Bachelor's degree in Finance, Economics, Engineering, or a related quantitative field., • 2–4 years of experience in project finance, investment banking (energy/infrastructure coverage), or a transactional finance role at an energy developer, fund, or lender., • Demonstrated financial modeling skills, including experience building and maintaining complex, multi-scenario project finance or DCF models in Excel., • Familiarity with project finance structures common in the renewable energy sector, including tax equity (partnership flip, ITC/PTC), construction debt, and term loan B or mini-perm facilities., • Strong analytical skills and attention to detail, with the ability to identify and resolve model errors and data inconsistencies independently., • Excellent written and verbal communication skills; ability to synthesize complex financial analysis into clear, concise narratives for senior management and external counterparties., • Highly organized and deadline-driven, with the ability to manage multiple workstreams simultaneously in a fast-paced, transaction-intensive environment. 𝐏𝐫𝐞𝐟𝐞𝐫𝐫𝐞𝐝 𝐐𝐮𝐚𝐥𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 • Solar PV and/or BESS project finance experience strongly preferred, including direct experience closing utility-scale solar or storage financings., • MBA/CFA candidacy or completion., • Proficiency with VBA, Python, or Power BI to automate modeling and reporting workflows., • Experience with generative AI tools (Anthropic Claude, ChatGPT) applied to financial analysis, ppt presentation creation and/or document review., • Exposure to IRA tax credit transferability and direct-pay mechanics as they apply to clean energy projects.

Job Description Must Have Technical/Functional Skills • 4+ Years of developing and implementing marketing automation solutions, with a focus on Adobe Marketing Cloud, Adobe journey optimizer, Adobe Campaign & Adobe Experience Platform services., • Expertise in Data Activation: AJO, AEP (RT-CDP), AEM (Adobe experience manager) Integration with Target, Analytics and AJA, Destination Configurations, Export APIs, • Expertise in Performance and Load Optimization: Optimize data processing performance and conduct load testing to ensure AEP can handle expected data volumes and user loads without performance degradation., • Expertise in AJO Journey Creation and Measurement: Implement, configure, test, rollout new journeys, campaigns, • Technical developer certifications across one or more of the products mentioned above., • Expertise in core web technologies including XML, HTML5, CSS, client/server-side-scripting languages such as JavaScript, python, cconsuming RESTful APIs & interacting with GraphQL APIs., • Expertise in AEP Data Collection & Ingestion from diverse sources, ETL (Extract, Transform, Load) workflows for seamless data movement and transformation between various data sources and AEP for data cleansing, enrichment, and normalization., • Expertise in AEP Data Preparation Development: Define XDM, create data set, profile merge and segmentation., • Implement data governance policies, data usage labels and ensure compliance with data privacy regulations and industry standards., • , configurations (Email, SMS, Push notification, Data Source, Event), Custom Action, 3rd Party API integration, Offer creation & decisioning, Journey reporting & monitoring Roles & Responsibilities • Should have prior experience working with Adobe Experience Platform, Adobe Marketing Cloud solutions, such as Adobe Target, Adobe Analytics, Adobe Campaign, and working with digital targeting and marketing automation technologies., • Business Use Case Design: Analyze business requirements and translate them into comprehensive AEP solutions. Develop detailed business use cases that demonstrate how AEP functionalities can be leveraged to address specific business needs and improve customer experiences. AEP Solutions Development: Utilize your expertise in Adobe Experience Platform to design, develop, and implement end-to-end business use cases. Leverage AEP functionalities and data capabilities to build innovative and effective solutions that align with business objectives. • ETL and Integrations: Design and implement efficient ETL processes and integrations with other systems to ensure a continuous flow of data and activation for marketing activities., • Experience with Adobe Journey Optimizer Journey design and configuration to ensure accurate tracking, targeting, and messaging for omni channel interactions., • Troubleshooting and Issue Resolution: Monitor the performance of AEP solutions, proactively identify issues, and provide timely resolutions. Troubleshoot any technical challenges and optimize AEP workflows for enhanced efficiency., • Continuous Improvement: Stay updated with the latest advancements in Adobe Experience Platform and related technologies. Continuously explore opportunities for enhancing existing AEP solutions and adopting new features to deliver a competitive advantage. Generic Managerial Skills, If any • Good communication skills to ensure effective customer interactions, communications, and documentation, • Self-starter - Organized and highly motivated, • Familiarity with marketing automation, digital marketing, and customer experience management best practices., • Fast learner, ability to learn new technologies/languages, • Knowledge of HTML DOM manipulation and page load events a plus Education: B.Tech or 4-year college / university degree with a relevant post-graduate qualification from premier institution

Job Description Our Core Values: At Prism Health North Texas, our actions are guided by our Core Values. These values shape every aspect of the employee experience, including hiring, development, performance, and accountability. They are evident in how we serve our patients, engage with communities, and support one another. Our Core Values are: • We are solution seekers., • We have a can-do attitude., • We are mission driven., • We care about people. Position Summary: • The Informatics & Analytics Analyst provides hands-on reporting, analytics, data validation, documentation, and operational support across Prism Health North Texas' healthcare data and reporting environment., • This role supports the Informatics function by assisting with:, • Clinical, financial, operational, pharmacy, quality, grants, and executive reporting, • Power BI dashboard support and enhancement, • Snowflake-based querying, validation, and analysis, • Report inventory, documentation, and data lineage, • Data quality review and source-to-report reconciliation, • KPI definition and Data Governance Committee support, • Recurring reporting and stakeholder request support, • The Informatics & Analytics Analyst helps ensure data and reports are accurate, timely, documented, and useful for decision-making. This position works closely with the Lead Healthcare Informaticist / Analytics Developer, IT, HIM, Clinical Operations, Quality, Grants, Finance, Pharmacy, Revenue Cycle, and executive stakeholders., • This is not intended to be an entry-level reporting role. The position requires enough healthcare data, Snowflake, SQL, Power BI, Excel, and validation experience to contribute quickly while continuing to grow into more advanced healthcare analytics and informatics responsibilities.ResponsibilitiesREPORTING, ANALYTICS, AND DASHBOARD SUPPORT, • Support the development, maintenance, testing, and enhancement of Power BI reports and dashboards., • Assist with recurring reports supporting clinical operations, quality, grants, pharmacy, finance, executive leadership, and operational departments., • Modify existing reports and dashboards based on approved requirements and documented business needs., • Support dashboard refreshes, data updates, filter adjustments, visual changes, and routine report maintenance., • Assist with reports and dashboards related to:, • Provider productivity, • Patient access, • Clinical quality measures, • HRSA / UDS / grants reporting, • Pharmacy and 340B reporting, • Revenue cycle and payer mix, • Executive scorecards, • Population health and health equity, • Help identify duplicate, outdated, unused, conflicting, or unreliable reports. SNOWFLAKE, SQL, AND SOURCE DATA SUPPORT • Use Snowflake to query, extract, compare, and validate healthcare data., • Write and modify SQL queries to support reporting, dashboard development, data validation, and discrepancy analysis., • Support AthenaOne / DataView / Snowflake-based reporting and analytics., • Help document source tables, fields, joins, filters, relationships, and reporting logic., • Compare source-system outputs to Power BI dashboards, AthenaOne reports, exported files, SharePoint based reports, and stakeholder-maintained spreadsheets., • Support investigation of discrepancies between AthenaOne reports, Snowflake/DataView queries, Power BI dashboards and manually maintained reporting sources., • Escalate complex query, data model, data architecture, or source-system issues to the Lead Healthcare Informaticist / Analytics Developer. DATA VALIDATION AND QUALITY ASSURANCE • Validate report outputs against source systems, stakeholder expectations, prior reports, and documented business rules., • Review data for accuracy, completeness, duplicate records, date-range errors, attribution issues, calculation issues, and missing values., • Execute QA checklists for new, modified, and recurring reports., • Assist in validating:, • Numerators and denominators, • Measure exclusions, • Date ranges, • Provider attribution, • Location attribution, • Payer groupings, • Encounter and visit logic, • Quality measure logic, • Document validation results, known issues, assumptions, and open questions., • Track and escalate data quality issues requiring review, correction, or governance decisions.POWER BI, EXCEL, AND DATA PREPARATION, • Support Power BI report development, maintenance, and testing., • Use Excel for data analysis, reconciliation, comparison, cleanup, and validation., • Use Power Query to clean, transform, and prepare data for reporting where appropriate., • Support basic to intermediate DAX measures under the direction of the Lead Healthcare Informaticist / Analytics Developer., • Help maintain report filters, slicers, relationships, refresh settings, and visual layouts., • Test Power BI dashboards after data source, model, refresh, or calculation changes., • Assist with the transition from spreadsheet-heavy reporting to more reliable Power BI and Snowflake supported reporting models.REPORT INVENTORY, DOCUMENTATION, AND LINEAGE, • Maintain the enterprise report and dashboard inventory., • Document report owners, business purpose, data sources, Snowflake objects, refresh frequency, distribution method, audience, and certification status., • Create and maintain runbooks for recurring reports and high-priority dashboards., • Document manual reporting processes involving AthenaOne exports, inbox delivery, SharePoint folders, network drives, or spreadsheet manipulation., • Assist with documenting data lineage from source system to Snowflake, Power BI, and final report output., • Help reduce reliance on tribal knowledge by creating repeatable, accurate, and accessible documentation DATA GOVERNANCE AND KPI STANDARDIZATION SUPPORT • Support the Data Governance Committee through report tracking, documentation, metric definition support, and certification preparation., • Assist in maintaining the enterprise KPI dictionary., • Document business definitions for commonly used metrics, including:, • Encounters, • Visits, • Unique patients, • No-show rate, • Provider productivity, • Clinical FTE, • Payer mix, • Quality measures, • UDS-related metrics, • Pharmacy and 340B measures, • Track certification status for reports and dashboards., • Help prepare reports for review by business owners, data stewards, and governance stakeholders., • Support consistent use of approved definitions and reporting logic across departments.REQUIREMENTS GATHERING AND STAKEHOLDER SUPPORT, • Meet with stakeholders to clarify reporting requests, business needs, definitions, deadlines, and intended use., • Translate stakeholder requests into clear requirements, report changes, validation steps, documentation updates, or escalation items., • Support the Informatics intake and backlog process., • Communicate clearly with internal customers regarding report status, needed clarification, blockers, and expected timelines., • Provide service-oriented support while reinforcing standardized intake, prioritization, documentation, and governance processes., • Serve as a reliable liaison between stakeholders and the Lead Healthcare Informaticist / Analytics Developer for assigned work. CLINICAL, QUALITY, GRANTS AND REGULATORY REPORTING SUPPORT • Assist with reporting related to clinical operations, quality measures, UDS, HRSA, grants, CQM, population health, and health equity., • Support validation of reports used for external, regulatory, grant-related, or executive-facing purposes., • Help ensure sensitive or high-impact reports are reviewed and validated before distribution., • Work with Clinical Operations, Quality, Grants, HIM, and operational stakeholders to understand report logic and business context., • Support investigation and correction of reporting discrepancies that could affect external reporting, compliance, funding, or executive decision-making. PHARMACY, 340B, FINANCE, AND OPERATIONAL REPORTING SUPPORT • Support pharmacy and 340B analytics reporting, including prescription volume, contract pharmacy activity, eligible encounter reporting, referral capture, and exception reporting., • Assist with finance-related reporting, including payer mix, revenue cycle metrics, provider productivity, visit volume, and service line analytics., • Partner with the Lead Healthcare Informaticist / Analytics Developer and business stakeholders to validate finance and pharmacy reporting logic., • Support reconciliation activities when reports do not align across systems, departments, or reporting tools., • Assist in documenting assumptions, calculations, and source logic for finance, pharmacy, and operational reports.PROCESS IMPROVEMENT AND REPORTING MATURITY, • Identify manual, repetitive, fragile, or undocumented reporting processes that should be improved or automated., • Support the transition from reactive reporting support to a more governed enterprise analytics function., • Help improve consistency in report formats, naming conventions, documentation, QA, and distribution., • Participate in efforts to reduce dependency on manual exports, inbox-based reports, SharePoint file workflows, and one-off spreadsheet processes., • Support maturation of Prism's reporting environment through improved documentation, validation, Snowflake use, Power BI discipline, and data governance practices.Required Skills Required Knowledge, Skills, and Abilities: • Proficiency in:, • Snowflake, • SQL querying, • Power BI report support or development, • Microsoft Excel for analysis, reconciliation, and validation, • Data validation and QA, • Report documentation, • Requirements gathering, • Source-to-report comparison, • Dashboard testing and maintenance, • Experience with:, • Healthcare data and reporting, • Snowflake-based data analysis, validation, or reporting, • Power BI or similar analytics/reporting tools, • SQL queries used forreporting, validation, or dashboard support, • Manual and automated reporting workflows, • Data quality review and discrepancy investigation, • Stakeholder-facing reporting support, • Working understanding of:, • Clinical, operational, financial, pharmacy, quality, or grants repofing, • EHR reporting concepts, • Data governance and KPI standardization, • Report inventory and documentation practices, • HIPAA and responsible handling of healthcare data, • Preferred experience with:, • AthenaOne reporting, • AthenaOne DataView, • Power Query, • DAX, • Microsoft Fabric, • SQL Server, • Tableau, • Azara DRVS, • ETL/ELT concepts, • Semantic models or data warehouse concepts, • Row-level security or role-based reporting access, • Python or R, • Excellent:, • Attention to detail, • Customer Service Orientation, • Communication with technical and nontechnical stakeholders, • Follow-through and accountability, • Documentation discipline, • Curiosity and problem-solving ability, • Ability to work in a lean, changing team environment Required Education, Experience, Certifications, and Licenses: • Bachelor's degree required; equivalent experience may be considered., • Degree fields may include:, • Health Informatics, • Healthcare Administration, • Data Analytics, • Data Science, • Public Health, • Finance, • Information Systems, • Business Analytics, • Computer Science, • Or related fields, • Minimum:, • 3+ years of experience in healthcare reporting, business intelligence, informatics, analytics, finance anal¡ics, quality reporting, or a related data role., • Experience using Snowflake for data analysis, querying, validation, reporting, or dashboard support., • Experience using SQL for reporting, data extraction, validation, or discrepancy analysis., • Experience supporting reports, dashboards, recurring analytics, or operational reporting processes., • Required experience:, • Healthcare, healthcare operations, clinical reporting, finance reporting, quality reporting, public, • health, or healthcare informatics environment., • Power BI, Excel, SQL, and Snowflake-based reporting or analytics support., • Data validation, source-to-report reconciliation, and documentation., • Strongly preferred:, • FQHC, community health, or public health experience., • HRSA / UDS reporting experience., • Grants reporting experience., • Clinical quality measure / CQM reporting experience., • Provider productivity reporting experience., • Pharmacy or 3408 reporting experience., • Revenue cycle or payer mix reporting experience., • AthenaOne, AthenaOne DataView, Azara DRVS, or similar healthcare reporting platform experience.

Mentor peers and junior developers in Python design. This is a remote position; however, occasional travel may be required based on project needs, client meetings, team collaboration events, or training sessions. Aretum is seeking a skilled and motivated Senior Python Developer.

What you’ll do: The Mid-Level Application Developer will support the development of emerging solutions designed to empower government clients. This is primarily remote with going into the office or meeting with customers a few times per quarter. Must live in the DC metro area. Must be a US Citizen to support US Government programs and be eligible for a Secret clearance. Responsibilities: Implement scoped Python backend fixes and REST API integrations using Flask or FastAPI. Improve the Vue.js interface, including answer presentation, citations, tables and error states Use SQL and graph queries to validate records, relationships and financial fields; trace issues across retrieval, backend responses and UI rendering Build regression tests and document expected versus actual results, evidence, defects and remaining limitations Maintain focused code changes, technical documentation and clear progress updates. Support controlled validation and releases Adhere to and report on technical milestones and the overall project schedule Participate in and support internal and external engagements including client meetings, conferences, and industry days Evaluate operational deficiencies, recommend improvements, and coordinate their implementation Attend meetings and program reviews, assist with compiling presentations, written materials, and/or electronic communications as required Travel domestically and internationally, provide in-person support at client sites, and obtain and maintain professional certifications and security clearances as required. Qualifications: 2-4 years of experience developing applications using Python, SQL, REST APIs, and related technologies Experience in practical data validation and debugging Experience using JavaScript or TypeScript and a modern frontend framework; Vue.js preferred. Experience with Git, code reviews, automated testing and the ability to explain and verify code changes Experience using LLM coding assistants such as Claude Code, ChatGPT or Codex to investigate code, plan changes, implement fixes and create tests Proficiency using Microsoft Word, Excel, PowerPoint, and SharePoint Eligibility to obtain a DOD SECRET security clearance Bachelor’s degree in an Engineering discipline from an institution accredited in the United States Excellent attention to detail, organizational skills, and ability to multitask Strong verbal and written interpersonal, communication, and presentation skills Compensation Policy: Competitive salaries Comprehensive medical plans (Aetna) with Employee Assistance Program (EAP), heath savings and flexible spending accounts, and dental and vision coverage options Opportunity to earn spot awards and annual, performance, and chargeability bonuses Traditional and Roth 401(K) plans Professional development including up to $1,500/year reimbursement for pre-approved courses, trainings, continued education, and/or certifications Paid Flexible Time Off 10 paid holidays Equal Employment Opportunity Statement The client is an Equal Opportunity / Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity, national origin, or protected veteran status. We participate in the E-Verify Employment Verification Program.