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The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S., supporting over 23,000 healthcare professionals and team members at more than 1,150 locations across 48 states. Our five supported healthcare practices operate under the brands Aspen Dental, ClearChoice, WellNow, Chapter Aesthetic Studio, and Lovet. We’re committed to enabling healthcare professionals to focus on patient care while we handle the business operations that support them. As part of our continued investment in data-driven innovation, we are looking for a Senior Data Engineer to join our growing team. In this high-impact role, you will architect and build the data backbone that powers our next-generation scheduling platforms and patient demand forecasting models. You will move beyond traditional reporting to build "intelligence pipelines"—systems that ingest real-time operational data, feed advanced optimization algorithms, and write actionable insights back into clinical workflows. If you are passionate about using data to reduce patient wait times, optimize provider utilization, and ensure the right resources are available at the right time, this is the role for you. Key Responsibilities Hybrid Pipeline Architecture (Batch & Streaming) • Design event-driven pipelines that ingest live patient interactions to power real-time inference to be able to calculate various propensity scores depending on the stage of patient journey, • Batch Processing: Maintain scalable batch processes for time-series analysis and other advanced statistical analysis as well as ML/LLM models that require heavy historical data aggregation and feature engineering, • Patient Clustering: Build pipelines that aggregate clinical and behavioral attributes to support unsupervised learning (clustering) for patient segmentation which then might be used for different business use cases from scheduling to marketing, • Scheduling Optimization: You will transform raw availability data into clean inputs for linear programming and constraint optimization solvers., • Partner with cross-functional stakeholders to translate business requirements into technical specifications for ML solutions. System Architecture & Observability • Collaborate with Data Scientists and Operations Researchers to deploy forecasting and optimization models into production., • Build Feature Stores that serve consistent features to both training and inference environments., • Ensure the "reverse ETL" of model outputs—writing optimized schedules and recommended appointment slots back into operational systems for front-line staff to use. Collaboration & Mentorship • Create clear, comprehensive documentation and support guides for newly implemented tools., • Provide technical guidance and mentorship to junior engineers and data scientists., • Stay current with advances in machine learning, data engineering, and software development, implementing industry best practices for reliability and maintainability. Qualifications Experience: • 5+ years of Data Engineering experience with a focus on Python and complex SQL., • Cloud Data Platform Mastery: Deep experience with AWS (Glue, Lambda, Kinesis), Azure (Data Factory, Synapse), or GCP (Dataflow, BigQuery)., • Workflow Orchestration: Advanced proficiency with tools like Apache Airflow, Prefect, or Dagster., • Data Modeling: Experience designing dimensional models (Star Schema) and "One Big Table" structures for analytical performance. Education: • Bachelor’s degree in Computer Science, Data Science, Engineering, or related technical field., • Experience with scheduling, optimization algorithms, or decision-support systems., • Forecasting Knowledge: Familiarity with time-series data preparation (handling seasonality, lag features, moving averages)., • Familiarity with responsible AI practices and governance. *This role is onsite 4 days/week in our Chicago office (Fulton Market District) • A generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match

We’re looking for a Data Engineer who loves building and managing data solutions.This is a fully remote, career opportunity with a forward looking marketing company with a national footprint.You’ll be working in the Azure cloud, creating reliable pipelines, making sure data is clean and accessib

We are looking for a skilled and experienced Senior Data Engineer to join our growing team. The ideal candidate will have a strong background in building and maintaining scalable data infrastructure, designing effective data models, and delivering actionable insights that support strategic decision-making. In this role, you will play a key part in optimizing data pipelines, ensuring data reliability, and advancing our data visualization capabilities. What You’ll Do • Design, build, and maintain scalable data infrastructure using Snowflake, Airflow, Fivetran, and DBT to support high-performing data pipelines., • Utilize advanced SQL and Python skills for data transformation, analysis, and automation., • Partner with business stakeholders to develop and enhance data marts, addressing issues related to missing, inaccurate, or incomplete data., • Create and maintain comprehensive testing frameworks to ensure accurate data ingestion and processing, particularly within DBT models, to guarantee end-to-end pipeline reliability., • Apply site reliability engineering (SRE) principles and leverage tools such as Datadog to monitor ETL workflows and maintain system health., • Collaborate cross-functionally to gather requirements, uncover opportunities, and deliver high-impact data solutions., • 5+ years of hands-on experience in data engineering, ideally within the fintech space., • Bachelor’s degree in Computer Science, Engineering, or a related field., • Strong proficiency in SQL and Python for data manipulation, automation, and performance optimization., • Demonstrated ability to understand and translate complex business processes into scalable data solutions., • Deep experience with modern data stack tools, including Snowflake, Airflow, Fivetran, and DBT., • Excellent communication, collaboration, and problem-solving skills, with a proven ability to troubleshoot complex data issues., • Solid experience with data modeling, Git version control, and CI/CD practices, particularly in cloud environments (AWS preferred).

Overview We are seeking a Staff Platform Engineer to support the development and operation of scalable, cloud-based systems. This role combines software engineering, cloud infrastructure, DevOps, and site reliability engineering (SRE) to drive performance, reliability, and efficiency. Key Responsibilities • Develop applications, automation tools, and supporting infrastructure, • Build and maintain Infrastructure as Code (Terraform), • Design and manage CI/CD pipelines, • Monitor system performance and support incident management/on-call rotations, • Improve system scalability, reliability, and operational efficiency, • Collaborate across teams to support platform and application development Required Qualifications • Degree in Computer Science, Engineering, or related field, • Strong experience with AWS and cloud infrastructure, • Proficiency with Linux systems and CI/CD tools (e.g., Jenkins), • Experience with containerization (Docker, Kubernetes), • Knowledge of DevSecOps and security best practices, • Experience with SaaS or managed platforms, • Strong troubleshooting, monitoring, and communication skills

Senior AI Engineer Overview We’re hiring a Senior AI Engineer to build and deploy production-grade AI systems that solve real business problems. This is not a research role. This is for someone who knows how to take modern AI capabilities—LLMs, agents, retrieval systems—and turn them into reliable, scalable products. You’ll operate at the intersection of engineering and applied AI, owning systems end-to-end from architecture through deployment. What You’ll Do • Design and build AI-powered applications using modern LLM frameworks, • Develop and optimize agentic workflows and multi-step reasoning systems, • Implement retrieval-augmented generation (RAG) pipelines and vector search, • Own backend services that support AI-driven features, • Evaluate and improve model performance, accuracy, and reliability, • Build guardrails to reduce hallucinations and ensure output quality, • Work closely with product and engineering teams to translate use cases into production systems, • Monitor, debug, and iterate on live AI systems in production What We’re Looking For • Strong software engineering background with experience in production systems, • Hands-on experience working with LLMs (OpenAI, Anthropic, or similar), • Experience building AI applications—not just experimenting, • Proficiency in Python (or similar backend language), • Experience with APIs, microservices, and distributed systems, • Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS), • Understanding of prompt design, evaluation, and model behavior, • Ability to work in ambiguous environments and move quickly Nice to Have • Experience with frameworks like LangChain, LlamaIndex, or LangGraph, • Background in building agent-based or workflow-driven systems, • Experience with fine-tuning or model customization, • Familiarity with cloud infrastructure (AWS, GCP, Azure), • Experience working with structured + unstructured data pipelines What Makes This Role Compelling • You’re building real AI systems—not prototypes, • High ownership across architecture, design, and delivery, • Work on cutting-edge AI applications with immediate impact, • Fast-moving environment with strong technical peers

Forward Deployed Engineer (AI / Data / Systems) Overview We’re hiring Forward Deployed Engineers to build and deploy AI systems in real-world environments. This is a client-embedded engineering role. You will take ambiguous problems, design technical solutions, and ship production systems that integrate LLMs, data infrastructure, and operational workflows. You are not building demos—you are building systems that are used, measured, and iterated on. What You’ll Do Build Production AI Systems • Design and deploy LLM-powered applications using APIs (OpenAI, Anthropic, open-source models), • Implement retrieval-augmented generation (RAG) pipelines using vector databases (Pinecone, Weaviate, FAISS), • Build agent-based systems using orchestration frameworks (LangChain, LangGraph, custom agents), • Build and optimize data pipelines (batch + streaming) using tools like Airflow, Kafka, or similar, • Design data models and integrate structured/unstructured data sources (APIs, warehouses, document stores), • Work with data platforms such as Snowflake, Databricks, BigQuery, or Postgres, • Build scalable backend services and APIs (Python, FastAPI, Node.js, TypeScript), • Deploy services using Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure), • Implement CI/CD pipelines and versioning for models, prompts, and workflows, • Design multi-step agent workflows with tool use, memory, and state management, • Implement function calling, tool routing, and structured output handling, • Work directly with stakeholders to translate business problems into technical systems, • Iterate rapidly in live environments with real users and feedback loops, • Own delivery from prototype → production → optimization What You Bring Engineering Depth • 3–8+ years of software engineering experience, • Strong proficiency in Python and/or TypeScript, • Hands-on experience with:, • Prompt engineering and evaluation, • RAG architectures and vector search, • LLM orchestration frameworks (LangChain, LangGraph, or similar), • Experience with databases (SQL + NoSQL), data pipelines, and ETL processes, • Familiarity with cloud infrastructure and containerized deployments, • You operate well in ambiguity and move quickly from idea → implementation, • You debug systems end-to-end (not just your layer), • Able to work directly with non-technical stakeholders, • Can explain system design, tradeoffs, and limitations clearly, • Comfortable operating in client-facing environments What Sets You Apart • Experience deploying AI systems in production environments at scale, • Built agent-based systems or internal AI tooling used by real users, • Experience with:, • Embedding models and semantic search, • Evaluation frameworks (human-in-the-loop, automated scoring), • Prompt/version management systems, • Background in startups, consulting, or high-ownership environments Why This Role • You’ll build systems that are actually used—not prototypes, • You’ll work across the full stack of modern AI systems, • You’ll have ownership over real outcomes, not just tickets, • You’ll operate at the edge of applied AI in production environments

Are you a cloud support engineer who thrives in production environments and takes full ownership of incidents from start to finish? We’re hiring a Cloud Platform Support Engineer for our global industry leader with operations across 150+ countries. This is a hybrid role sitting within a collaborative team of 11 engineers, working cross-functionally across product, platform, and operations groups. Job Title: Product Support Engineer Location: Peoria/Chicago, IL, Hybrid 3days onsite Contract: 12 Months Key Skills: AWS Kinesis, AWS Fargate, AWS Lambda, Azure DevOps, ServiceNow, Incident Management, Root Cause Analysis, Runbook Development, CI/CD Pipelines, API Operations, On-Call Support, ITSM What you’ll be doing: • Own incident tickets end-to-end — from initial triage through to resolution, root cause analysis, and closure, • Respond to and manage production incidents impacting AWS services and APIs, • Collaborate with engineering, product, and platform teams to diagnose issues and coordinate fixes, • Communicate incident status, impact, and resolution progress to technical and non-technical stakeholders, • Develop and maintain clear, actionable runbooks for the support team, • Drive operational readiness improvements — monitoring, alerting, security, and CI/CD practices, • Lead knowledge-transfer sessions to ensure support teams are fully prepared for production support, • Work cross-functionally with groups including Vision Link, product, and access management. Qualifications: • 2–4 years of experience in production support or cloud operations (non-negotiable), • Hands-on experience with AWS Kinesis, Fargate, and Lambda in production environments, • Strong working knowledge of Azure DevOps (CI/CD pipelines + features/user stories), • Experience with ServiceNow for incident management within an enterprise ITSM framework, • Proven ability to own and manage customer-facing APIs and cloud services end-to-end, • Demonstrated ownership mindset — you follow through, not just investigate Nice to Have: • Bachelor's degree in a relevant field (preferred but not required), • Experience working in large, multi-team enterprise environments, • Familiarity with cloud security and operational readiness standards About us: Harvey Nash is a national, full-service talent management firm specializing in technology positions. Our company was founded with a mission to serve as the talent partner of choice for the information technology industry. Our company vision has led us to incredible growth and success in a relatively short period of time and continues to guide us today. We are committed to operating with the highest possible standards of honesty, integrity, and a passionate commitment to our clients, consultants, and employees. We are part of Nash Squared Group, a global professional services organization with over forty offices worldwide. For more information, please visit us at ___ Harvey Nash will provide benefits please review: ___

MUST BE US CITIZEN/GREEN CARD HOLDER & ABLE TO COMMUTE TO CHICAGO Our client is looking for a Senior Data Engineer II to help scale their data platform and unlock insights across the business. You’ll play a key role in building reliable data pipelines, shaping our data models, and enabling teams to make smarter, faster decisions. This is a hands-on role for someone who enjoys owning data systems end-to-end and turning messy data into something powerful and usable. What You’ll Do • Design, build, and scale data pipelines using Snowflake, Airflow, Fivetran, and DBT, • Write efficient SQL and Python to transform, automate, and optimize data workflows, • Partner with stakeholders to build and improve data marts and reporting layers, • Identify and fix data quality issues (missing, inconsistent, or inaccurate data), • Implement testing frameworks to ensure reliable, end-to-end data pipelines (especially within DBT), • Monitor pipeline performance and system health using tools like Datadog, • Apply SRE principles to improve reliability and reduce downtime, • Collaborate across teams to deliver high-impact data solutions, • 5+ years of experience building and maintaining data pipelines, • Strong SQL and Python skills for data transformation and automation, • Experience designing scalable data models and translating business needs into data solutions, • Hands-on experience with modern data stack tools (Snowflake, Airflow, Fivetran, DBT), • Solid understanding of data quality, testing, and pipeline reliability, • Experience with Git, CI/CD, and cloud environments (AWS required), • Strong problem-solving skills and the ability to debug complex data issues, • Experience in fintech or other data-heavy environments, • You take ownership and ship end-to-end solutions, • You’re comfortable working with ambiguity and evolving requirements, • You care about clean data, reliable systems, and scalable design, • You’re proactive, curious, and always looking to improve things

Role: Java Solution engineer Architect Skills: Core Java, Azure (Public Cloud), AI-assisted development tools (GitHub Copilot, etc.) Experience: 15 + Years Location: Chicago We are seeking a highly skilled and experienced Java Solution engineer Architect who brings more than traditional development capability—someone with a core engineering mindset, strong independent problem‑solving skills, and the ability to influence and uplevel an existing team. This role is central to our transformation journey to modernize legacy systems and move toward an autopilot engineering model. The ideal candidate is not an “order-taker” but a Better Engineer—someone who can diagnose issues, architect solutions, and drive modernization without needing step-by-step direction. Job Description: Tech Stack: Core Java, Azure (Public Cloud), AI-assisted development tools (GitHub Copilot, etc.) Transformation & Coaching • Assessment & Roadmap Creation:, • Evaluate the current technology landscape, identify gaps, and shape the transformation roadmap for modernization., • Culture Change Agent:, • Break entrenched “comfort zone” patterns across a team with 10+ year legacy experience., • Mentor team members and interns on modern engineering practices, automation-first thinking, and cloud-native principles., • AI Adoption Leader:, • Promote and operationalize the use of GitHub Copilot and other AI tools for:, • Unit test generation, • Code reviews & optimization, • Issue impact diagnosis, • Self-Sufficient Execution:, • Build systems independently without needing detailed “how-to” instructions. Should naturally handle engineering essentials such as timeouts, retries, dead letter queues, error handling, and resiliency patterns., • Hands-on Development:, • Write high‑quality Java code while enhancing CI/CD pipelines, improving automated testing, and increasing code coverage., • Cloud & Infrastructure Ownership:, • Drive Azure-related engineering tasks including IAM, horizontal/vertical scaling, monitoring, and Infrastructure-as-Code (Terraform)., • Documentation & Knowledge Sharing:, • Transition knowledge from individuals to scalable, documented, and automated processes; establish best practices and engineering playbooks., • Resiliency & Scalability Engineering:, • Architect broadly stable systems that minimize production issues and increase platform reliability.

HIRING: Platform Engineer | Global Brokerage | Hybrid | Chicago Join a dynamic global financial services platform delivering liquidity, market access, and technology-driven solutions across energy, commodities, and financial markets. We’re looking for a Platform Engineer to help build, operate, and enhance a secure cloud and on-premise platform that enables rapid, reliable software delivery. You’ll collaborate closely with development and operations teams, drive automation, and streamline developer workflows. Do you have deep AWS cloud expertise and experience in financial services? Apply today.

Software Engineer, Applied AI (FDE) Company: Attune Location: West Loop, Chicago, IL (Hybrid — 3 days/week in office) Type: Full-time About Attune Attune is a Chicago-based healthcare voice AI company building an intelligent platform that automates patient engagement at scale. Our agentic voice AI conducts health risk assessments, schedules appointments, manages prescription reminders, and handles post-procedure follow-ups. We help healthcare organizations improve patient outcomes while reducing operational burden — transforming how providers connect with their patients. About the Role We're looking for a Software Engineer to join a new team dedicated to client delivery — building and shipping the voice AI agents, integrations, and data pipelines that power real patient conversations for our customers. You'll work at the intersection of our platform and our clients' systems: designing conversation workflows, configuring API integrations with CRMs and EHRs, building data ingestion and export pipelines, and ensuring every deployment runs reliably in production. You'll partner closely with Customer Success and Product to translate client requirements into working solutions, and with the platform engineering team when client needs surface opportunities to improve the core product. This is a hands-on, high-impact role. You'll own the full technical lifecycle of client deployments — from initial scoping through go-live and ongoing iteration. If you're the kind of engineer who gets energy from seeing your work drive real outcomes (patients reached, appointments scheduled, care gaps closed), this is the role. What You'll Do • Design, build, and iterate on voice AI conversation workflows and agents for healthcare clients, • Configure and build API integrations between our platform and client systems (CRMs, EHRs, CCaaS platforms, data warehouses), • Build and maintain data pipelines — ingesting client data into our platform and delivering structured engagement data back out via webhooks, SFTP, and APIs, • Own the full technical delivery for new client launches, from requirements through production deployment, • Partner with Customer Success to scope technical requirements and translate client needs into implementation plans, • Troubleshoot production issues across the voice engine, telephony, and integration layers, • Collaborate with platform engineering to feed client patterns back into reusable product capabilities, • Use AI tools throughout your workflow — for development, testing, debugging, and workflow prototyping, • Contribute to internal tooling and processes that make client delivery faster and more repeatable Must-Haves • 3-5 years of software engineering experience, • Strong Python skills — comfortable writing production code, not just scripts, • Experience building or consuming REST APIs and working with third-party integrations (OAuth, webhooks, API key auth), • Familiarity with data formats and delivery mechanisms: JSON, CSV, SFTP, webhooks, file-based ingestion, • Comfort working in YAML-heavy configuration (workflow definitions, deployment configs, CI/CD), • Experience with cloud infrastructure basics — comfortable navigating Kubernetes, Docker, and secret management in production, • Proficiency using AI tools (Claude, ChatGPT, Copilot, Cursor, etc.) as part of your development workflow, • Strong communication skills — able to translate between technical and non-technical stakeholders, • Self-directed and comfortable with ambiguity — able to take a loosely defined client requirement and turn it into a working system, • Experience in a startup or high-growth environment where you wore multiple hats Nice-to-Haves • Experience with conversational AI, voice AI, or telephony platforms (Twilio, Genesys, Five9, etc.), • Familiarity with LLMs and prompt engineering in production applications, • Java or Kotlin experience, • Experience in healthcare, health tech, or compliance-driven industries (HIPAA, FHIR, HL7), • Background in solutions engineering, professional services, or client-facing technical roles, • Experience with CCaaS or contact center integrations, • Familiarity with LangChain, LangGraph, or similar agent frameworks Compensation & Benefits Competitive base + equity; comprehensive health benefits; flexible PTO. Our Values Lead With Empathy — Attune designs technology that listens first and responds with compassion and precision. Every interaction reflects genuine understanding and care for patients, providers, and partners. Trust Is Earned — Trust is built through openness, clarity, and reliability. Attune upholds the highest standards of privacy, security, and communication, ensuring confidence in every exchange. Work in Harmony — Collaboration drives progress. Attune aligns patients, care organizations, and technology partners to create seamless, unified systems that work together toward better outcomes. Prioritize Outcomes — Success is measured by impact, not activity. Attune focuses on closing care gaps, improving experiences, and advancing meaningful health outcomes. Innovate With Integrity — Attune advances AI responsibly, creating solutions that amplify human expertise without losing the human touch. Innovation always serves people first. Expand Access — Care should be easy to reach and equitable for all. Attune's technology removes barriers, expands access, and ensures every patient can connect with care when it matters most. Attune is an Equal Employment Opportunity Employer and all employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. We are committed to the full inclusion of all qualified individuals. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, perform essential job functions, and/or receive other benefits and privileges of employment, please contact us.

Site Reliability Engineer Description and Requirements About Our Team We are building Quantum, a next‑generation hybrid AI platform that spans Windows, Android, and cloud. As part of this initiative, we are growing the reliability engineering organization that powers cross‑device Personal AI. We are hiring Site Reliability Engineers (SREs) to strengthen the reliability, observability, and operational excellence of Qira’s AI systems across device, edge, and cloud. Depending on your strengths, you may be aligned to areas such as Observability, Operations, or Service Reliability. Works with the speed and creativity of a startup inside— you’ll help build foundational systems with clarity, ownership, and modern engineering practices. Location: On-site in Chicago, IL. Hybrid (3 days on-site, 2 days remote) What You Might Work On As an SRE, you may be responsible for a subset of the following, depending on team placement and skill alignment: Reliability & Systems Engineering • Support the reliability, availability, and performance of distributed systems across cloud, edge, and device environments., • Help define, measure, and monitor SLIs and SLOs for core services., • Participate in on‑call rotations and assist with incident response and post‑incident reviews., • Contribute improvements to runbooks, automation, and tooling that reduce alert noise and operational toil., • Implement and improve telemetry using OpenTelemetry, Grafana, and related tools., • Build dashboards and tools that improve visibility into system health and AI service behavior., • Support safe, reliable deployment workflows including canaries, staged rollouts, and automated rollbacks., • Work closely with senior SREs, DevOps engineers, AI/ML teams, and platform engineers., • Contribute to reliability reviews, operational readiness checks, and cross‑team projects., • Advocate for modern SRE and DevOps practices within the organization. Basic Qualifications • 4+ years of experience in Site Reliability Engineering, DevOps, Platform Engineering, or production systems operations., • Bachelor’s Degree in Computer Science, Engineering, or related technical field (or equivalent practical experience)., • Foundational experience supporting distributed systems in production., • Ability to write scripts or tools in Python, Go, Bash, or similar languages., • Solid understanding of Linux systems, networking basics, and system performance fundamentals., • Experience with cloud platforms (Azure preferred, AWS or GCP acceptable)., • Familiarity with monitoring/observability (metrics, logs, tracing)., • Experience with containers and Kubernetes. Preferred Qualifications • Experience with OpenTelemetry instrumentation and telemetry pipelines., • Hands‑on experience with Grafana, Prometheus, Loki, or Tempo., • Exposure to AI/ML systems, inference services, or data‑intensive workloads., • Experience contributing to CI/CD processes and deployment automation., • Familiarity with hybrid architectures spanning device, edge, and cloud., • Passion for automation, reliability, and operational excellence. What Success Looks Like • Systems become easier to operate, observe, and trust., • Alerts are more accurate and actionable., • On‑call load decreases through thoughtful automation and improvements., • Deployment workflows become more reliable and repeatable., • You grow toward deeper ownership and technical leadership within the reliability engineering organization.

Full Stack Engineer Overview We’re looking for a Full Stack Engineer who enjoys building products end-to-end and thrives in fast-moving environments. This role is for someone who can move seamlessly between frontend and backend development, think in systems, and ship high-quality code that directly impacts users. You’ll work on modern applications, collaborate with cross-functional teams, and play a key role in shaping both the user experience and the underlying architecture. What You’ll Do • Build and ship full stack features from concept to production, • Develop responsive, high-performance frontend interfaces, • Design and implement scalable backend services and APIs, • Own features across the entire stack, including architecture decisions, • Collaborate with product, design, and engineering teams to deliver intuitive user experiences, • Write clean, maintainable, and well-tested code, • Optimize application performance, reliability, and scalability, • Contribute to technical decisions, system design, and code reviews What We’re Looking For • Strong experience building full stack applications in production environments, • Proficiency in modern frontend frameworks (e.g., React, Vue, or similar), • Backend experience with languages such as Node.js, Python, Java, or Go, • Experience designing and consuming RESTful or GraphQL APIs, • Solid understanding of databases (SQL and/or NoSQL), • Familiarity with cloud environments (AWS, GCP, or Azure), • Experience working with distributed systems or scalable architectures, • Strong problem-solving skills and attention to detail, • Ability to operate independently while collaborating effectively Nice to Have • Experience with TypeScript, • Exposure to microservices or event-driven architectures, • Familiarity with CI/CD pipelines and DevOps practices, • Experience building AI-powered or data-driven applications What Makes This Role Compelling • High ownership and autonomy—you build, ship, and see impact, • Modern tech stack and engineering-driven culture, • Opportunity to influence architecture and product direction, • Fast-moving environment with meaningful, real-world problems

AI Forward Deployed Engineer - Build Real World AI Systems You will be a founding level builder working directly with clients to design, architect, and deploy production grade AI systems from day one. This is a high ownership opportunity to operate at the intersection of engineering, strategy, and product, helping organizations translate abstract AI ambitions into real systems that deliver measurable business impact. You will function less like a traditional engineer and more like a startup founder embedded within each engagement, defining problems, shaping solutions, and driving delivery from concept through launch. In this role, you will design and implement end to end AI solutions, build scalable architectures, and deploy cloud native systems that support real world workflows. Your work may include LLM integrations, document processing pipelines, vision systems, and modern backend platforms, with reliability, performance, and maintainability treated as first class priorities. This role is intentionally designed for builders who want founding style impact without needing to start their own company. You will be trusted to make decisions, operate in ambiguity, and take ownership of systems that directly influence how organizations adopt and scale AI. If you enjoy building from zero, shaping technical direction, and turning undefined challenges into shipped products, this is the role for you. No up-to-date resume required.

Title: Edge Ops/ Edge Technical Architect Location: Chicago, IL (Hybrid – local candidates strongly preferred) Employment Type: W2 only No C2C or 1099, Contract to Hire and Direct Hire (Full-Time) Overview Our client is seeking a Senior GCP Edge Technical Architect to lead the design, deployment, and optimization of Google Distributed Cloud Edge (GDCE) environments. This role requires deep expertise in GCP Edge architecture, implementation, and integration, with supporting experience in Kubernetes, Terraform, and cloud-native automation. The successful candidate will serve as a strategic advisor and hands-on engineer, ensuring secure, scalable, and resilient Edge deployments across the enterprise. Key Responsibilities • Architect and implement Google Distributed Cloud Edge solutions aligned to enterprise needs., • Define best practices for Edge workloads, connectivity, and distributed architecture., • Deploy, scale, and manage Kubernetes (GKE/Anthos) clusters within Edge environments., • Automate infrastructure provisioning using Terraform (advanced modules, remote state, workspaces)., • Implement secure authentication/authorization models (Cloud IAM, RBAC, Workload Identity Federation)., • Collaborate with client teams to design resilient solutions that meet performance, scalability, and compliance requirements., • Provide hands-on leadership in cloud-native architecture, CI/CD pipelines, and platform observability. Required Skills & Experience • 10+ years in IT infrastructure architecture, cloud engineering, or DevOps., • Deep, hands-on expertise with Google Distributed Cloud Edge (GDCE)., • Advanced knowledge of Google Cloud Platform (GCP) services and architectural patterns., • Strong Kubernetes/GKE administration experience within distributed environments., • Proven ability to automate with Terraform at scale., • Proficiency with Python scripting for infrastructure automation., • Strong background in cloud security, including encryption, VPC design, and service account management. Preferred Skills • Experience with Anthos on-prem and hybrid deployments., • Familiarity with service mesh technologies (e.g., Istio)., • Expertise in monitoring/observability with Prometheus, Grafana, and OpenTelemetry., • Strong client-facing skills, with ability to lead technical discussions and mentor junior engineers.

No H1 or C2C. Must be Permanent Resident or US Citizen Senior DevOps Platform Engineer Description and Requirements About Our Team We are building Quantum, a next‑generation hybrid AI platform that spans Windows, Android, and cloud. As part of this vision, we are expanding the engineering organization supporting cross‑device Personal AI. We are hiring Senior DevOps / Platform Engineers to build and operate the core automation, infrastructure, and service platforms that enable secure, reliable, and high‑velocity delivery of AI systems across device, edge, and cloud. Depending on your background, you may be aligned to Platform Engineering, Observability, Operations, or Service Reliability—based on experience and organizational need. Operates with the speed, ownership, and creativity of a startup, supported by the scale, resources, and technical depth. We are building foundational systems from the ground up—intentionally, pragmatically, and with a culture of engineering excellence. Location: Open to remote work in the US. The preferred work location is Chicago, IL. What You Might Work On As a Senior DevOps / Platform Engineer, you may be responsible for a subset of the following areas depending on team placement: CI/CD, Automation & Tooling • Designing, implementing, and improving CI/CD pipelines for AI, platform, and application teams., • Building automation and developer tooling to improve productivity and consistency., • Implementing scalable, secure, and resilient infrastructure on Azure and Kubernetes., • Building and operating hybrid systems spanning device, edge, and cloud compute., • Implementing and enhancing observability systems using OpenTelemetry, Grafana, Prometheus, Loki, and related tooling., • Ensuring platform telemetry is accurate, actionable, and tied to performance and reliability outcomes., • Improving deployment workflows, safety, consistency, and traceability., • Supporting progressive delivery patterns including canaries, staged rollouts, and automated rollbacks., • Partnering closely with SRE, AI/ML, security, firmware, and product engineering teams., • Contributing to system design discussions with a focus on automation, scalability, and operational best practices., • Helping define and evolve platform engineering standards, patterns, and conventions. Basic Qualifications • 10+ years in DevOps, Platform Engineering, Cloud Engineering, or related fields, • Bachelor’s Degree in Computer Science, Engineering, or a related technical field, • Strong experience building and operating infrastructure in Azure, AWS, or GCP, • Proficiency with CI/CD systems, build automation, and deployment pipelines, • Experience with Infrastructure as Code (Terraform, ARM/Bicep, CloudFormation, etc.), • Strong development or scripting skills (Python, Go, Bash, or similar), • Hands-on experience with Docker and Kubernetes, • Understanding of observability fundamentals (metrics, logs, tracing) Preferred Qualifications • Deep experience with Azure cloud architecture and DevOps tooling, • Strong hands‑on work with OpenTelemetry (instrumentation, pipelines), • Experience with Grafana, Prometheus, Loki, Tempo, or similar observability tools, • Experience supporting AI/ML workloads or GPU‑accelerated compute environments, • Familiarity with event‑driven systems and operationalizing data pipelines, • Experience contributing to or running on‑call rotations, • Passion for automation, developer experience, and infrastructure reliability at scale What Success Looks Like • CI/CD pipelines are fast, stable, and trusted., • Platform infrastructure becomes more automated, observable, and scalable., • Telemetry and dashboards provide clear visibility into system health., • Deployments are consistent, safe, and repeatable., • Engineering teams move faster thanks to strong platform foundations., • Hybrid AI platform becomes increasingly reliable, efficient, and easy to operate.

No H1 or C2C. Must be Permanent Resident or US Citizen Senior Site Reliability Engineer Description and Requirements About Our Team We are building Quantum, a next‑generation hybrid AI platform that spans Windows, Android, and cloud. As part of this vision, we are expanding the reliability engineering organization that powers cross‑device Personal AI. We are looking for Senior Site Reliability Engineers (SREs) to help us build and evolve the foundational reliability, observability, and operations capabilities that ensure fast, safe, and dependable for millions of users. This role may support one of several teams within the SRE organization (e.g., Observability, Operations, or Service Reliability), depending on your strengths and interests. Operating with the speed, ownership, and creative latitude of a startup—yet supported by the scale, resources, and technical depth. We are building new systems, new tooling, and new operational models from the ground up, and we are doing so with clarity, intention, and high engineering standards. Location: Open to remote work in the US. The preferred work location is Chicago, IL. What You Might Work On As a Senior SRE, you may be responsible for a subset of the following, depending on team placement and skill alignment: Reliability & Performance Engineering • Improving the availability, scalability, and performance of distributed systems across device, edge, and cloud., • Defining or refining SLIs, SLOs, and error budgets for critical services., • Participating in on‑call rotations and contributing to incident response, triage, and post-incident reviews., • Developing automation, runbooks, and self‑healing systems to reduce alert noise and MTTR., • Designing or improving observability systems using OpenTelemetry, Grafana, and modern signal pipelines., • Building dashboards, analytics, and alerting that illuminate system health and AI service behavior., • Improving reliability of CI/CD workflows, including phased rollouts, canaries, shadow testing, and safe rollback mechanisms., • Influencing architectural decisions by injecting reliability, observability, and operational considerations early in design., • Collaborating with AI/ML engineers, platform engineers, firmware teams, and product partners to deliver robust, dependable user experiences. Basic Qualifications • 10+ years of experience in Site Reliability Engineering, Production Engineering, DevOps, or large‑scale distributed systems operations, • Bachelor’s Degree in Computer Science, Engineering, or a related technical discipline, • Strong experience running production distributed systems at scale, • Proficiency in at least one modern programming language (e.g., Python, Go, Java, C++), • Strong understanding of Linux systems, networking fundamentals, and system performance tuning, • Experience with monitoring/observability (metrics, logs, tracing), • Hands‑on experience with cloud environments (Azure, AWS, or GCP), • Experience in incident management, on‑call rotations, and postmortem processes Preferred Qualifications • Deep experience with Azure cloud services, • Experience with OpenTelemetry for end‑to‑end instrumentation, • Strong familiarity with Grafana, Prometheus, Loki, Tempo, or similar tools, • Experience supporting AI/ML systems, model serving, or data‑intensive workloads, • Background with hybrid architectures (device + edge + cloud), • Experience improving deployment reliability and progressive delivery systems, • Passion for automation, reliability engineering, and reducing operational friction What Success Looks Like • Systems become more observable, reliable, and predictable., • Incidents are resolved quickly, and follow‑up improvements prevent recurrence., • Alerting becomes more accurate, actionable, and trusted., • Deployments become safer and more consistent., • Teams move faster because reliability foundations are strong and intuitive.

Job Description Job Title: Azure Data Engineer Location: Chicago, IL (3 days onsite/week -- Local only) Duration: Long-term contract Interview: In-person client interview required Must-Have Skills: • PySpark, • Azure Data Factory (ADF), • Databricks, • SQL Responsibilities: • Design, build, and maintain scalable data pipelines, • Develop and optimize ETL/ELT processes using PySpark, ADF, and Databricks, • Work with large datasets, ensuring performance and reliability, • Collaborate with onsite and remote teams in an agile environment Qualifications: • Strong experience with Azure cloud ecosystem, • Proficiency in Python (PySpark) and SQL, • Hands-on experience with Databricks and Azure Data Factory, • Excellent problem-solving and communication skills

Forward Deployed Engineer Agentic SDLC & Delivery Acceleration We're looking for a rare combination: a hands-on engineer with the business instincts of a consultant. This role embeds directly with client delivery teams to drive measurable velocity and quality improvements through agentic AI tooling, modern SDLC practices, and real-time coaching. What you will do at Sogeti: • Embed directly with client engineering and product teams to identify friction points in the SDLC and deploy targeted AI-assisted tooling - agentic coding, automated review, test generation, CI/CD optimization., • Champion and implement agentic development methodologies (e.g. BMAD, orchestrated agent workflows) across planning, development, QA, and deployment phases., • Act as a hands-on practitioner - writing real code, configuring real pipelines, and building reusable accelerators rather than advising from a distance., • Translate engineering improvements into business outcomes: faster cycle times, reduced defect rates, lower delivery cost - and communicate these fluently to both technical and executive stakeholders., • Evaluate, configure, and operationalize AI coding assistants (Claude, GitHub Copilot, Cursor, Windsurf, etc.) within client environments, including prompt engineering, context management, and guardrail design., • Develop lightweight internal playbooks, templates, and workshops to upskill client engineering teams and embed sustainable AI practices beyond your engagement., • Partner with project leadership to baseline current-state velocity and report on measurable improvement milestones throughout the engagement., • Identify expansion opportunities organically - this role has high visibility and directly supports account growth through demonstrated outcomes. What you will bring: • Engineering Core - Full-stack development · CI/CD pipelines · Cloud-native (AWS/Azure/ GCP) · API & integration design · DevEx & toolchain optimization, • Agentic AI & SDLC - Agentic coding assistants · Prompt engineering · MCP / tool-use patterns · AI-assisted test generation · LLM context & memory management · Agentic SDLC methodology, • Business & Delivery - Executive communication · Delivery metrics & KPIs · Stakeholder management · Workshop facilitation · SOW / estimation, • 5–10 yrs software engineering · Consulting / advisory background · Enterprise client exposure · Agile / SAFe delivery, • Builder first, advisor second - You're most effective when you're in the repo. You lead by doing, write the proof-of-concept yourself, and let the results make the argument., • Bilingual in engineering and business - You can walk out of a sprint retro and into an executive briefing without changing gears and know which metrics matter to each audience., • Early adopter & practitioner of agentic AI - You've personally shipped using Claude Code, Cursor, or equivalent. You understand where these tools break down and how to design guardrails and workflows around them. Life at Sogeti: Sogeti supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: Flexible work options 401(k) with 150% match up to 6% Employee Share Ownership Plan Medical, Prescription, Dental & Vision Insurance Life Insurance 100% Company-Paid Mobile Phone Plan 3 Weeks PTO + 7 Paid Holidays Paid Parental Leave Adoption, Surrogacy & Cryopreservation Assistance Subsidized Back-up Child/Elder Care & Tutoring Career Planning & Coaching $5,250 Tuition Reimbursement & 20,000+ Online Courses Employee Resource Groups Counseling & Support for Physical, Financial, Emotional & Spiritual Well-being Disaster Relief Programs About Sogeti Part of the Capgemini Group, Sogeti makes business value through technology for organizations that need to implement innovation at speed and want a local partner with global scale. With a hands-on culture and close proximity to its clients, Sogeti implements solutions that will help organizations work faster, better, and smarter. By combining its agility and speed of implementation through a DevOps approach, Sogeti delivers innovative solutions in quality engineering, cloud and application development, all driven by AI, data and automation. Become Your Best | Disclaimer Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini. INCLUDE IF POSTED IN A STATE WITH PAY TRANSPARENCY REQUIREMENTS: Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is [range 190K-225K]. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.

Cloud Architect – Advisor – Azure Platform About the job: This role will be located in Chicago and will require the candidate to be at the client 4 days a week. This position will not only be technical but be able to be an advisor to the client. What you will do at Sogeti: Azure Platform RUN Ownership • Act as L3/L4 escalation point for Azure platform incidents across IaaS, PaaS, landing zones, and Terraform‑based deployments., • Lead root‑cause analysis (RCA) for P1/P2 incidents and drive permanent fixes through automation and design improvements., • Operate and govern Azure Landing Zones, including RBAC models, Azure Policy, network/security baselines, and compliance monitoring., • Detect and remediate configuration drift using policy‑as‑code and IaC controls., • Design, maintain, and review Terraform modules, CI/CD pipelines, and reusable “golden paths” used in RUN operations., • Ensure provisioning, changes, and decommissioning follow approved automated pipelines., • Provide architectural oversight for service requests, enhancements, and onboarding of new Azure services., • Support cloud change governance processes and validate Low‑Level Designs (LLDs) for operational readiness., • Ensure changes are safe, auditable, and compliant within the managed services model. Security & Compliance Support • Implement and operate Azure security controls (Azure Policy, RBAC, Conditional Access, Key Vault)., • Partner with FinOps teams to enforce cost guardrails, tagging standards, and optimization actions., • Automation‑Led Optimization: Continuously reduce manual operational effort by automating Azure platform tasks using Python, Azure SDKs, and REST APIs, • Self‑Healing Operations: Implement Agentic AI–driven remediation workflows to auto‑detect, diagnose, and resolve recurring platform issues, • Proactive Incident Reduction: Leverage AIOps and AI‑assisted analytics to identify patterns, predict failures, and prevent incidents before impact, • IaC Drift & Compliance Improvement: Use automation to detect and remediate Terraform drift, configuration non‑compliance, and policy violations, • Operational Observability Enhancement: Improve platform reliability through continuous tuning of logging, metrics, alerts, and telemetry across Azure services, • Agentic Runbook Automation: Convert manual runbooks into agent‑driven workflows for repeatable, zero‑touch execution of common operational tasks, • Cost & Performance Optimization: Drive CSI through FinOps automation, including rightsizing, scheduling, and cost anomaly detection, • API‑First Improvements: Enhance service responsiveness by integrating Azure services using SDK‑based and event‑driven automation, • Intelligent Change Execution: Apply AI‑assisted impact analysis and guardrails to reduce change‑related incidents and improve change success rates, • Continuous Feedback Loop: Use operational data, AI insights, and platform KPIs to prioritize CSI backlog and deliver measurable improvements sprint‑over‑sprint What you will bring: • Cloud‑Native Architecture: Design and operate resilient, scalable Azure cloud‑native platforms aligned to enterprise standards and RUN SLAs, • DevSecOps & GitOps: Implement secure CI/CD and GitOps pipelines with built‑in security, policy enforcement, and automated controls, • Cloud Landing Zone & Policy Management: Operate and govern Azure Landing Zones using Azure Policy, RBAC, guardrails, and compliance automation, • Platform & COE Tooling: Build and support reusable COE accelerators, golden paths, templates, and automation frameworks, • AIOps & Observability: Enable proactive monitoring, logging, alerting, and AIOps‑driven insights for platform reliability and incident reduction, • FinOps: Embed cost governance, tagging, budgets, and optimization practices into platform operations, • Cloud Architecture (RUN‑focused): Translate client‑approved architectures into operable, supportable, and compliant Azure platforms, • Containers & Kubernetes: Design, deploy, and operate container platforms using Kubernetes, AKS, Docker, and Helm, • Infrastructure as Code: Provision and manage Azure infrastructure using Terraform and automated pipelines, • API & Integration Platforms: Design and support secure APIs and integrations using Azure API Management (APIM), • Event & Streaming Platforms: Support cloud‑native messaging and streaming solutions using Kafka and managed services, • Scripting & Automation: Develop operational automation using Python and platform SDKs, • Agile & ITSM Alignment: Operate within Agile delivery models while supporting ITSM, incident, change, and problem management processes Certifications: • Microsoft Certified: Azure Solutions Architect Expert (AZ‑305) - Required, • Microsoft Certified: Azure Administrator Associate (AZ‑104) – Required, • AZ‑400 (DevOps Engineer Expert), • AZ‑500 (Azure Security Engineer Associate), • ITIL 4 Foundation, • Terraform Associate Life at Sogeti: Sogeti supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: • Flexible work options, • 401(k) with 150% match up to 6%, • Employee Share Ownership Plan, • Medical, Prescription, Dental & Vision Insurance, • Life Insurance, • 100% Company-Paid Mobile Phone Plan, • 3 Weeks PTO + 7 Paid Holidays, • Paid Parental Leave, • Adoption, Surrogacy & Cryopreservation Assistance, • Subsidized Back-up Child/Elder Care & Tutoring, • Career Planning & Coaching, • $5,250 Tuition Reimbursement & 20,000+ Online Courses, • Employee Resource Groups, • Counseling & Support for Physical, Financial, Emotional & Spiritual Well-being, • Disaster Relief Programs About Sogeti Part of the Capgemini Group, Sogeti makes business value through technology for organizations that need to implement innovation at speed and want a local partner with global scale. With a hands-on culture and close proximity to its clients, Sogeti implements solutions that will help organizations work faster, better, and smarter. By combining its agility and speed of implementation through a DevOps approach, Sogeti delivers innovative solutions in quality engineering, cloud and application development, all driven by AI, data and automation. Become Your Best | ___ Disclaimer Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini. INCLUDE IF POSTED IN A STATE WITH PAY TRANSPARENCY REQUIREMENTS: Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is [150K-190K]. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.

The FortiCNAPP Systems Engineer is responsible for technical sales support within Fortinet direct sales organization. Typical activities include product demonstrations, objection handling, and champion building with potential customers. As a trusted technical advisor, the Systems Engineer drives direct sales activity. The role requires excellent technical, communication, and organizational skills, and previous experience with AWS and security architectures. You will help prospective customers and partners understand the benefits of FortiCNAPP, explaining technical features and problem solving any potential roadblocks. Role Responsibilities: • Work with the direct sales team to identify and qualify business opportunities, identify key customer technical objections and develop the strategy to resolve technical blockers., • Own the technical relationship with FortiCNAPP customers, including proof-of-concept work, and the coordination of additional technical resources., • Deliver demos to customers and work hands-on with customers to demonstrate FortiCNAPP value in customer environments., • Recommend security best practices, cloud architecture, platforms and application infrastructure required to implement a complete cloud security solution based on FortiCNAPP., • Bring constructive feedback from customers to product management to improve the FortiCNAPP solution., • 3+ Years Experience serving in the capacity of a technical sales engineer in a cloud computing environment or equivalent experience, • Experience with AWS, Azure or GCP., • Experience presenting and delivering technical demo's to executives, architects, and technical staff., • Ability to login to a Linux console and write a simple Bash script. (with heavy Google help!), • AWS Certified Solutions Architect or equivalent from Azure or GCP, • Experience in and understanding of cloud deployments - especially as it relates to security and compliance requirements., • Experience architecting and developing software or infrastructure for scalable, distributed systems., • Ability to quickly learn, understand, and work with new emerging technologies, methodologies and solutions in the cloud/IT technology space., • Previous DevOps/DevSecOps experience, • Previous Compliance audit experience (either Auditor or being audited) Fortinet offers employees a variety of benefits, including medical, dental, vision, life and disability insurance, 401(k), 11 paid holidays, vacation time, and sick time as well as a comprehensive leave program. Wage ranges are based on various factors including the labor market, job type, and job level. On target earnings for this position is expected to be $215,400 - $278,700 per year. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location. All roles are eligible to participate in the Fortinet equity program, and this position is also eligible for commissions based on the terms of the Sales Compensation Plan

AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation. At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD. We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived. We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD. Internally known as Technical Team Lead - Managed Services Cloud" this role will be serving as a technical thought leader and SME for our ecosystem of partners, clients, and service providers in the realm of Public Cloud, in addition to serving as a mentor of other teammates. The X works as part of the consulting team to lead the development, design, and implementation of client solutions. Xs mentor other team members on a project basis, and within the broader AHEAD organization as it relates to internal initiatives and indirect project support. This role requires a strategic mindset, strong leadership abilities, and deep technical proficiency across various domains and multiple clouds. This role still maintains the same utilization target as a Senior Cloud Engineer. • Ensure projects are delivered on time, at the highest quality standards while exceeding client expectations., • Design and implement complex, mission-critical transformational enterprise-grade technical solutions for clients., • Build and maintain strong client relationships, drive business growth, and identify opportunities for upselling and cross-selling., • Develop high quality deliverables and presentations for Client engineering teams and senior leaders, this can include both technical and non-technical documentation., • Collaborate with clients to understand their technical challenges and develop tailored solutions to address their needs, • Create and present solution designs, options, ideas, and innovations to clients' senior leadership teams., • Develop and maintain Technical Roadmaps and Innovation Plans for supported Solutions., • Establish project estimates and plans, identify risks and mitigations, oversee development and delivery of technical solutions., • Provide mentorship, coaching, and professional development opportunities to team members, empowering them to grow and excel in their roles., • Actively lead collaboration within our technical communities, • Experience and ability to "jump on a whiteboard" in front of a customer to develop a solution to a business / technology goal or challenge., • Strong consulting and business acumen., • 15+ years of IT experience and 10+ years of Cloud, DevOps, and Automation experience., • Multiple certifications such as AWS Solutions Architect Pro, AWS DevOps Engineer Pro, Microsoft Azure Solutions Architect Expert, Azure DevOps Engineer Expert, Terraform Associate, etc.Hands-on experience designing and implementing Platform core services around Compute, Storage, Networking, Databases, Containers, Security, Identity, etc., • Experience with organizational adoption of transformational initiatives such as Platform Engineering, DevOps, DevSecOps, Cloud Transformation/Migration, Application Modernization, • Hands-on experience with IaC and Automation tools such as: Terraform, Ansible, ARM, CloudFormation., • Experience with using and managing deployment services such as Harness, GitHub, Ansible, Jenkins, etc. Knowledge and usage of git branching strategies is required., • Hands-on and expert-level experience in programming with Java, Python or any development language., • Experience with SDLC, containers and Kubernetes in a Cloud environment., • Excellent written & verbal communication and interpersonal skills., • Knowledge of modern cloud-native application design principles, DevSecOps, Infrastructure as Code (IaC), and CI\CD Pipelines., • Knowledge of enterprise organizations across multiple industries and inner IT functions (e.g. Enterprise Architecture, Operations). The compensation range indicated in this posting reflects the On-Target Earnings ("OTE") for this role, which includes a base salary and any applicable target bonus amount. This OTE range may vary based on the candidate's relevant experience, qualifications, and geographic location. Why AHEAD: Through our daily work and internal groups like Moving Women AHEAD and RISE AHEAD, we value and benefit from diversity of people, ideas, experience, and everything in between. We fuel growth by stacking our office with top-notch technologies in a multi-million-dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning. USA Employment Benefits include: - Medical, Dental, and Vision Insurance - 401(k) - Paid company holidays - Paid time off - Paid parental and caregiver leave - Plus more! See benefits ___ for additional details. Use of AI: We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, assessing responses, or to capture recordings and create transcriptions or summaries during interviews. 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 refer to the ___ or contact us at ___. You may opt-out of the review or analysis of your application and resume by AI tools by using the ___. Please include the role you wish to apply for in the Additional Information field. You may also choose to opt-out of recording and transcription at any time, including after joining an interview. Candidates will not be penalized for choosing to opt-out.

Posting Type Hybrid Job Overview As a Software Engineer at Relativity, you will use your development expertise, working on software projects to build our software platform, Relativity. You will help solve complex problems as we continue to improve and build great technology. This role reports into the Manager of Software Engineering. You will work on projects on a highly scalable and dynamic web system and serverless technologies. This is all using many of the newest, cloud-based technologies. You will build highly distributable systems composed of multiple databases, processing, and webservers within the massive data field. Relativity's "Enrichment" product is the fastest way to feed terabytes of complex and abstract data into the Relativity's Review platform. As part of the Enrichment team, you will work on modernizing the Enrichment user experience, deal with the unique challenge of processing a diverse set of documents, a tremendous amount of data and do complicated data extraction at blazing speeds. If an opportunity to deal with big-data, solve complex scalability challenges, and learn a distinct set of technologies on a secure SaaS platform excites you, then this is the right team for you. Job Description and Requirements Job Responsibilities * Design performant, scalable, and secure software to a high degree of quality - not simply focusing on meeting requirements * Work together with a software development team to ship high-quality, performant, secure software thatoperateson data at a massive scale * Focus on quality through comprehensive unit and integration testing and static analysis and rigorous test strategy development * Improve the software development process by recommending changes in policies and procedures * Participate in pair programming to improve software quality and completeness and share design and implementation knowledge Minimum Qualifications * Bachelor's Degree (or equivalent) in Computer Science or related disciplines * Experienced in Object Oriented ProgrammingutilizingC#, Java or similar * Experience building REST APIs * Experience working on an agile software team * Knowledge of software engineering disciplines, including the ability to work comfortably in all layers of the Application Stack Preferred Qualifications * Understanding of DevOps principals, experience with Azure DevOps is a plus * Experience designing and developing highly scalable solutions in Azure or other cloud platforms is a plus * Experience in Azure Functions, Azure Service Bus, Serverless Technologies and related cloud technologies * Experience in Domain Driven Design Principles and Event Driven Architecture is a plus * Excellent Knowledge ofnew technologytrends and their application in the marketplace. Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between following values: $79,000 and $119,000 The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills: Automation, Documentations, Engineering Design, Problem Solving, Process Improvements, Project Management, Quality Assurance (QA), Research and Development, System Integration, Troubleshooting

PsiQuantum'smission is to build the first useful quantum computers-machines capable of delivering the breakthroughs the field has long promised. Since our founding in 2016, our singular focus has been to build and deploy million-qubit, fault-tolerant quantum systems. Quantum computers harness the laws of quantum mechanics to solve problems that even the most advanced supercomputers or AI systems will never reach. Their impact will span energy, pharmaceuticals, finance, agriculture, transportation, materials, and other foundational industries. Our architecture and approachisbased on silicon photonics. Byleveragingthe advanced semiconductor manufacturing industry-including partners like GlobalFoundries-we use the same high-volume processes that already produce billions of chips for telecom and consumer electronics. Photonics offers natural advantages for scale: photonsdon'tfeel heat, are immune to electromagnetic interference, and integrate with existing cryogenic cooling and standard fiber-optic infrastructure. In 2024,PsiQuantumannounced government-funded projects to support the build-out of our first utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These initiatives reflect a growing recognition that quantum computing will be strategically and economically defining-and that now is the time to scale. PsiQuantumalso develops the algorithms and software needed to make these systems commercially valuable. Our application, software, and industry teams work directly with leading Fortune 500 companies-including Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical-to prepare quantum solutions for real-world impact. Quantum computing is not an extension of classical computing. Itrepresentsa fundamental shift-and a path to mastering challenges that cannot besolvedany other way. The potential is enormous, and we have a clearpathto make it real. Come join us. Team Overview PsiQuantum's Applications Software Engineering Team builds tools for quantum algorithm developers: cloud development environments, circuit design tools, and resource estimation systems that help researchers write, simulate, and optimize quantum algorithms for the world's first utility-scale, fault-tolerant quantum computer. We're hiring a platform engineer who bridges software infrastructure with GPU-accelerated computing, someone who can improve our AWS platform while helping researchers run quantum simulations efficiently on GPU clusters. Role Overview We're looking for someone to partner with our existing platform engineer, splitting responsibilities across a growing platform and making it easier for quantum researchers to do their best work. That platform includes AWS infrastructure, Terraform configs, CI/CD workflows, and the GPU clusters our researchers depend on for large-scale, computationally intensive quantum simulations. There's a real opportunity to shape how all of it evolves. The right person for this role is comfortable making judgment calls under uncertainty; they will have a lot of latitude, and accountability to match. Responsibilities: How You'll Spend Your Time Platform Engineering (70%) • Own our AWS infrastructure end-to-end and actively shape how it evolves; building, not just maintaining., • Reduce friction in the deployment pipeline so developers can ship without infrastructure blockers., • Harden systems with intention: lock down IAM roles, container images, and authentication flows in ways that reflect a clear understanding of where the real risks are., • Implement monitoring and alerting that catches production issues before users notice them., • Make deployments faster to roll out, easier to roll back, and less prone to failure., • Make GPU clusters and other infrastructure invisible to the researchers running it., • Own CUDA compatibility and driver versions across heterogeneous GPU clusters., • Build standardized SLURM job submission workflows that researchers can use without help., • Package and containerize Python simulation code for reproducible execution. Required Qualifications • Experience: 5+ years in Platform Engineering, DevOps, or SRE roles., • Production AWS experience: Built and maintained systems on ECS/EKS, managed multi-account networking (VPCs, security groups), and dealt with real-world infrastructure complexity., • Infrastructure as Code: You've written and maintained Terraform (or Pulumi/CDK) in production, including applying ongoing changes as requirements evolved., • CI/CD: Improved build pipelines in production (reduced build times, increased reliability, made deployments easier to debug), including experience with GitLab CI, GitHub Actions, or equivalent., • Background in scientific computing, research infrastructure, ML platforms, or early-stage startups (especially research computing vendors)., • Security & compliance experience: You've implemented auth systems (Auth0/Okta), managed encryption (KMS), or worked on FedRAMP/compliance-driven infrastructure. FedRAMP experience is a strong plus., • Candidates focused on enterprise-scale batch computing rather than cloud-native platform engineering., • Platform engineers without exposure to GPU workloads or HPC concepts. Note: PsiQuantum will only reach out to you using an official PsiQuantum email address and will never ask you for bank account information as part of the interview process. Please report any suspicious activity to ___. We are not accepting unsolicited resumes from employment agencies.

Posting Type Hybrid Job Overview AtRelativity, we make software to help users organize data, discover the truth, and act on it. Our e-discovery platform is used by more than 13,000 organizations around the world to manage large volumes of data and quickly identify key issues during litigation, internal investigations, and compliance projects. The Product Management team is looking for aGroup Product Managerwith strong product management and communications background to creatively solve for the needs of our customer base. You will be responsible for creating and executing a product vision for a portfolio of products. To help, you will manage a team of ProductOwnersand together you will partner on managing the full product lifecycle from strategic planning to tactical execution. A successful candidate must be energized by building deep customer empathy, collaborating with design and development, discovering opportunities through data analysis, and creating and communicating progress through leading indicators. Focused on Relativity's Data Extensibility products, you will be responsible for helping create innovative solutions which empower clients to create, manage and leverage data in RelativityOne that drive custom workflows and tailored AI solutions.You will represent the portfolio at conferences and speaking engagements as an expert in the field. You will help lead a team of skilled PMs focused creating exceptional user experiences and actualizing the vision and strategy you lay forth. This is a high-impact role for a technical product leader who deeply understands both developer and end-user workflows and the critical role custom data plays in creating AI-first platforms. You will drive the evolution of our custom data strategy in support of rapidly changing user needs and our quickly evolving platform. Job Description and Requirements Role Responsibilities Job Description and Requirements * Set Strategic Direction:Define the long-term roadmap for ourdata extensibility offeringwhichenables clients to bring incustomstrategicdatathataddsimportantcontext to their cases and drives action. * BringCustomerCentricity:Lead your team infrequentlyconnecting with the customer tocrystallizepain points andbuildroadmapswhichbalanceimmediate customerneedswithlongtermneeds of thebusiness. * ChampionDevelopersandEndUsers:Deeply understand and advocate for both developer and end user personas,ensuring Relativity builds the right APIs, tools, and UI workflows to satisfy theirdiverseneeds. * Collaborate Cross-Functionally:Work closely with peers across product, engineering,securityand finance to ensure alignment between platform capabilities and business needs; particularly close partnership with AI. * Measure and Optimize:Define key success metrics for adoption, performance, efficiency, and reliability - and drive continuous improvement through data-driven prioritization. Job Responsibilities * Craft and shape the product strategy and portfoliothat both impacts and is shaped by cloud and AI transformationwitha cohesive roadmap that encompasses product, technology, and adoption. * Clearly communicate product vision, strategy, and roadmapto a range of audiences from internal/external stakeholders, senior leaders, and customers with varying levels of technical acumen. * Lead with a data- and KPI-driven approach,utilizingboth qualitative and quantitative data from deep user, customer, market, competitiveinsightand data to articulate clear long-term product vision,identifynew strategic opportunities, and gain organizational buy-in. * Manage effectively via Objectives and Key Resultsalongside leading indicators of product health and project success; drive tactics based on insights from portfolio metrics and reporting. * Discover and deeply understand bothdeveloper and end userneedstoidentifyopportunities andproposesolutions thatexpand the value they derive from Relativity. * Craft thoughtful adoption & enablement strategiesfor successful and productive adoption ofcapabilities. * Lead research and proposals to drive build/buy/partner decisions; work collaboratively with design and development tovalidatedirection and solution; work with product marketing on go to market strategies. * Own the operation of your portfolio, including managing customer roadmaps, capturing customer feedback signals, and reporting outcomes clearly and succinctly. * Model and exemplify being a great people leaderas well as mentor and coach junior team members, help improve the team's operations, and contribute to team-wide initiatives. * Adaptableplayerandcoachfor your team members and portfolio. * Buildand owncomprehensivesolutionswhichconsistentlydelight customers,coveringeverything from product functionality tohelp documentationandSupportteaminteractions. Minimum Qualifications * 10+ years of experience in product management or working closely with product managers to delivergreat valueto engineers as customers * 3+ years of experience inspiring, managing, and coachingProduct Owners asdirect reports * Proventrack recordof quantifiable, measurable impact withchampioning custom data/workflows * Strong technical fluency - able to engage in architecture discussions, understand tradeoffs, and influence technical direction. * Experiencebuilding highly customizable data platform experiences thatpower AI and/ordrive action * Excellent communication and storytelling skills, with the ability to inspire teams and gain executive alignment. * Familiarity and comfort with data,including the ability to use data to analyze andmonitorproduct health, set goals, back up assumptions, and track success. * Strong tactical execution with the ability to handle multiple projects simultaneously * Detail-oriented without losing focus on strategy and big picture objectives * Excellent communicator and presenter, both written and verbal * Solid understanding of software development lifecycle and agile * Bachelor'sdegree in Business, Computer Science, Engineering, or Design or comparable work experience. Preferred Qualifications * Strong technicalexpertisein microservice architecture and one or more cloud platforms * Direct/prior experience as a software engineer or workingclosely withmanaging highly technical product solutions * You are excited and curious abouthighly complexproblems, systems, and interactions * A team player with proven ability tovalidatesolutions and deliver features frominceptionto delivery Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between following values: $166,000 and $250,000 The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills: Business Development, Collaboration, Innovation, Leadership, Market Analysis, Market Strategy, Mentorship, Product Lifecycle, Product Management, Stakeholder Management

Process Piping Engineer - Hybrid - Direct hire!! This Jobot Job is hosted by: Brandon DeDeker Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $80,000 - $130,000 per year A bit about us: We are a boutique, progressive, and growing engineering and project management firm committed to delivering smart solutions that positively impact our clients' lives. We are looking to add a piping designer to our growing piping group! Why join us? Exciting opportunity to work on a wide range of projects Collaborate with diverse teams of engineers from other disciplines and industries. Manage projects to meet critical deadlines and engineering budgets. Opportunity for professional growth and development. Work with a team of exceptional individuals who share a passion for innovation and customer satisfaction. Job Details Work with vendors, clients and the internal team to determine the piping design needs Responsibilities: Assist in designing and laying out projects under the guidance of a Lead Designer or Engineer. Proficiently use AutoCAD Plant3D and/or Solid Edge for 3D modeling, utilizing provided Point Cloud 3D scans for engineering packages. Create equipment layout, piping layout, general arrangement drawings, piping isometrics, and P&ID drawings. Conduct fieldwork, including walk downs of current systems, locating tie-ins, and taking measurements. Document detailed field notes that are easily understandable by others. Design piping systems based on project scope using P&ID's and specifications, adhering to applicable design standards. Review project parameters related to piping requirements. Develop preliminary Bills of Materials for piping design. Office-based work with occasional short-term field assignments. Qualifications: Associates degree in mechanical/process design with 3-D modeling. Preferred minimum of 8 years of experience. Working knowledge of industry-standard drafting practices, good mechanical aptitude, and general knowledge of Piping Engineering. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S., supporting over 23,000 healthcare professionals and team members at more than 1,150 locations across 48 states. Our five supported healthcare practices operate under the brands Aspen Dental, ClearChoice, WellNow, Chapter Aesthetic Studio, and Lovet. We’re committed to enabling healthcare professionals to focus on patient care while we handle the business operations that support them. As part of our continued investment in data-driven innovation, we are looking for a Senior Machine Learning Engineer to join our growing team. This is a hands-on role focused on delivering innovative predictive solutions for the healthcare enterprise. The ideal candidate will bridge the gap between theoretical data science and production-grade software engineering, utilizing Google Cloud Platform (GCP) and Vertex AI to solve complex business challenges. Key Responsibilities Machine Learning Development & Modeling • Design, develop, and implement predictive models, machine learning algorithms, and decision engines to address complex business challenges (e.g., scheduling optimization, clinical decision support)., • Conduct experiments, tune hyperparameters, and apply advanced modeling techniques to improve the accuracy, scalability, and efficiency of new and existing models., • Partner with cross-functional stakeholders to translate business requirements into technical specifications for ML solutions. MLOps & Production Engineering • Execute full-stack engineering tasks including data preprocessing, feature engineering, model deployment, API development, and integration with enterprise systems., • Engineer scalable, secure, compliant, and production-grade ML pipelines with modern cloud-native technologies., • Design and implement distributed training workflows, online inference systems, and low-latency serving architectures., • Propose new platform solutions and enhancements that improve capabilities and performance of existing scheduling systems and decision engines. System Architecture & Observability • Partner with system architects to ensure adequate hardware, compute resources, and platform configurations (Kubernetes, Cloud Run) to support machine learning applications., • Define key metrics, monitoring frameworks, and automated alerts to continuously evaluate the performance and drift of deployed models., • Analyze system behaviors to identify improvement opportunities and proactively recommend enhancements to the decision engines. Collaboration & Mentorship • Create clear, comprehensive documentation and support guides for newly implemented tools., • Provide technical guidance and mentorship to junior engineers and data scientists., • Stay current with advances in machine learning, data engineering, and software development, implementing industry best practices for reliability and maintainability. Qualifications Required Experience: • 5+ years of experience in machine learning engineering, data science, or related technical role., • Technical Proficiency: Strong proficiency with Python and AI/ML frameworks (LLMs, TensorFlow, PyTorch, Scikit-learn, etc.)., • Engineering Skills: Strong hands-on expertise with Google Cloud Platform (GCP), training, pipelines, deployment, BigQuery, and Airflow. Solid understanding of software engineering principles, and API development., • Deployment: Proven track record of building and deploying ML models into production systems at scale. Preferred Education: • Bachelor’s degree in Computer Science, Data Science, Engineering, or related technical field., • Experience with scheduling, optimization algorithms, or decision-support systems., • Familiarity with MLOps tooling (e.g., MLflow, Airflow, Kubeflow)., • Experience with SQL and data warehousing for feature extraction., • Familiarity with responsible AI practices and governance. *This role is onsite 4 days/week in our Chicago office (Fulton Market District) • A generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match

About the Company - The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S. and has supported over 20,000 healthcare professionals and team members with close to 1,500 health and wellness offices across 48 states in four distinct categories: dental care, urgent care, medical aesthetics, and animal health. Working in partnership with independent practice owners and clinicians, the team is united by a single purpose: to prove that healthcare can be better and smarter for everyone. TAG provides a comprehensive suite of centralized business support services that power the impact of five consumer-facing businesses: Aspen Dental, ClearChoice Dental Implant Centers, WellNow Urgent Care, Chapter Aesthetic Studio, and AZPetVet. Each brand has access to a deep community of experts, tools and resources to grow their practices, and an unwavering commitment to delivering high-quality consumer healthcare experiences at scale. About the Role - As a Senior Software Engineer on our RCM team, you'll play a key role in designing and implementing complex backend solutions that drive our financial operations. You'll leverage your deep technical expertise to build scalable, reliable, and high-performance systems for payment processing, claims management, and financial reporting. You will often lead small teams and mentor junior engineers, contributing to improving development processes. We work with technologies like .Net, Python, and SQL to build robust enterprise-level applications. You are expected to have a broader understanding of system architecture and make informed technical decisions. Responsibilities: • 5-8 Years of Software Development Experience: Demonstrated track record of delivering complex projects, reflecting the seniority and expertise required., • Expertise in Backend Technologies: Deep proficiency in .Net and Python, critical for designing and implementing complex, scalable backend solutions., • Proficiency in SQL and Database Management: Essential for building reliable systems for payment processing, claims management, and financial reporting., • Experience with System Design and Architecture: A broader understanding of system architecture to make informed technical decisions for enterprise-level applications., • Ability to Lead and Mentor Junior Engineers: Key for leading small teams and improving development processes., • Deep Understanding of Programming Principles: Fundamental for building high-performance, robust systems., • Familiarity with Cloud Computing Environments: Knowledge of AWS, Azure, or Google Cloud to support modern backend infrastructure., • Strong Problem-Solving and Analytical Skills: Necessary for tackling complex technical challenges and optimizing system performance. Required Skills: • Deep understanding of programming principles, • Expertise in backend technologies, including .Net and Python, • Proficiency in SQL and database management, • Experience with system design and architecture, • Familiarity with one of the main cloud computing environments (AWS, Azure, or Google Cloud), • Strong problem-solving and analytical skills, • Ability to lead and mentor junior engineers, • Excellent communication skills Preferred Skills: • Experience with system design and architecture, • Familiarity with one of the main cloud computing environments (AWS, Azure, or Google Cloud), • Strong problem-solving and analytical skills, • Ability to lead and mentor junior engineers, • Excellent communication skills Pay range and compensation package - Annual Salary Range: $130,000-$152,000 with a generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match Additional Information - If you are an applicant residing in California, please view our privacy policy here: ___

About the Company We are looking for a strong core Data Engineer with hands-on experience in PySpark, Databricks, and Azure data platforms to design, build, and support end-to-end data pipelines. The ideal candidate will develop and optimize data transformations, build production-grade Python components, and maintain cloud-native Azure environments while collaborating with application teams and ensuring high-quality, reliable data delivery. This role offers the opportunity to work with large-scale datasets, implement ETL/ELT best practices, optimize Databricks clusters, and leverage modern cloud technologies to support AI/ML initiatives. About the Role Location: 3 days Hybrid in Chicago, IL Duration: 6+ Month Contract Interview: 2 video interview and final onsite Responsibilities • Design, build, and support end-to-end data pipelines, including ingestion, transformation, validation, and publishing., • Develop and optimize SQL and PySpark/Databricks transformations for large datasets., • Build production-grade Python modules with logging, error handling, testing, and integration with APIs/files., • Create, maintain, and operate Azure Data Factory (ADF) pipelines, including triggers, parameterization, monitoring, and failure handling., • Work within Azure environments: ADLS Gen2 (Blob Storage), Azure SQL, Azure App Service, and resource groups., • Provision and maintain Azure components using Pulumi (Infrastructure as Code)., • Optimize Databricks clusters, workflows, and jobs for performance and reliability., • Participate in code reviews, documentation, and operational support, including triage and root cause analysis., • Collaborate with application teams for integration, troubleshooting, and operational coordination. Qualifications • Education: Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience). Required Skills • Experience: 5+ years as a Data Engineer; 3+ years in ETL/ELT concepts, PySpark, and SQL., • SQL: Advanced querying, CTEs, views, joins, complex transformations, and performance tuning., • Python: 2+ years building production-quality modules, unit/integration testing, logging, and CI/CD integration., • Databricks: 1+ year working with notebooks, jobs, workflows, external/managed tables, Delta Lake, and basic cluster configuration., • Azure Data Factory (ADF): 1+ year creating and maintaining pipelines, including triggers, parameterization, monitoring, and error handling., • Azure Cloud: Hands-on with ADLS Gen2, Azure SQL, Azure App Service, and general Azure portal/resource group operations., • Infrastructure as Code: Experience provisioning Azure resources with Pulumi., • ETL/ELT Concepts: Strong understanding of pipeline patterns, incremental loads, data validation, and troubleshooting. Preferred Skills • Additional Skills (nice-to-have): R for data validation, TypeScript for Pulumi pipelines, Java/.NET for integration, Angular/Spring Boot for minor troubleshooting.

The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S. and has supported over 20,000 healthcare professionals and team members with close to 1,500 health and wellness offices across 48 states in four distinct categories: dental care, urgent care, medical aesthetics, and animal health. Working in partnership with independent practice owners and clinicians, the team is united by a single purpose: to prove that healthcare can be better and smarter for everyone. TAG provides a comprehensive suite of centralized business support services that power the impact of five consumer-facing businesses: Aspen Dental, ClearChoice Dental Implant Centers, WellNow Urgent Care, Chapter Aesthetic Studio, and Lovet Pet Health Care. Each brand has access to a deep community of experts, tools and resources to grow their practices, and an unwavering commitment to delivering high-quality consumer healthcare experiences at scale. As a Senior Site Reliability Engineer (SRE) at TAG – The Aspen Group, you will be responsible for ensuring the reliability, performance, and scalability of our core systems. This role involves proactively building and managing, monitoring solutions, lead incident response, and continuously optimizing system performance to exceed business objectives. We are actively integrating AI and machine learning into our operational workflows, and you will be on the front lines, leveraging intelligent automation and machine learning to build a proactive resilient infrastructure. This is an opportunity to go beyond SRE by applying cutting-edge technology to solve complex reliability challenges. Responsibilities: Intelligent Site Reliability Engineering: • Design and build highly scalable and resilient systems to support our applications and services, incorporating predictive analytics to anticipate reliability risks., • Develop and manage Service Level Objectives (SLOs) and Service Level Indicators (SLIs) using machine learning anomaly detection to ensure systems meet reliability targets., • Drive improvements in system reliability, availability, and performance through proactive measures, automation, and intelligent failure prediction. Advanced Observability: • Implement and manage comprehensive monitoring and alerting solutions, integrating with intelligent observability platforms that reduce alert noise and correlate events., • Develop and maintain dashboards and reporting tools that provide data-driven insights for actionable troubleshooting recommendations and performance optimization., • Evaluate and integrate advanced monitoring tools and operational intelligence platforms to enhance observability and root cause identification. Proactive Incident Management: • Lead and participate in incident response efforts, using intelligent log analysis and automated event correlation to speed up troubleshooting and root cause identification., • Develop and maintain incident management processes incorporating automated decision support systems to improve response times and minimize service disruptions., • Conduct post-incident reviews, using automated pattern recognition and trend analysis to identify systemic issues and implement preventive measures. Performance and Capacity Optimization: • Analyze performance metrics and logs, supported by advanced observability tools, to detect bottlenecks and inefficiencies., • Collaborate with development teams to implement automated profiling and optimization recommendations for code and infrastructure improvements., • Perform capacity planning using machine learning forecasting models to ensure systems can handle current and future loads. Automation and Process Improvement: • Develop and implement automation solutions, including intelligent runbook automation, self-healing systems, and automated incident triage., • Identify and drive process improvements by applying machine learning to operational data for continuous optimization., • Maintain documentation that includes automation and machine learning guidelines for monitoring, incident management, and SRE best practices. Collaboration and Communication: • Work closely with engineering, operations, and product teams to align reliability and monitoring goals, including automation adoption strategies., • Communicate effectively with stakeholders, providing regular updates on system health, incidents, performance improvements, and data-driven insights., • Foster a culture of collaboration, knowledge sharing, and automation best practices within the team and across the organization. Requirements: • Bachelor's degree in computer science or a related technical field., • At least 5 years of experience in Site Reliability Engineering or a similar role., • Strong proficiency in at least one programming language such as Python, Go, or C#, • Demonstrated experience applying machine learning and automation to operational workflows such as monitoring, alerting and incident response., • Expertise with infrastructure as code tools such as Terraform, • Proven experience working and monitoring container environments such as Cloud Run and Kubernetes., • Hands-on experience using and working within an Azure, AWS, and GCP environment (GCP preferred), • Strong understanding of networking, distributed systems, and cloud infrastructure., • Familiarity with intelligent monitoring platforms and operational analytics tools such as Prometheus, Grafana, OpenSearch, Sentry, Google Cloud Observability, • Excellent problem-solving skills and the ability to work independently and as part of a team., • Experience with incident management, root cause analysis, and automated operational workflows. Annual pay range: $129,000-$160,000 A generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match

The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S., supporting over 23,000 healthcare professionals and team members at more than 1,150 locations across 48 states. Our five supported healthcare practices operate under the brands Aspen Dental, ClearChoice, WellNow, Chapter Aesthetic Studio, and Lovet. We’re committed to enabling healthcare professionals to focus on patient care while we handle the business operations that support them. As part of our continued investment in data and AI-driven innovation, we are expanding our machine learning capabilities across predictive analytics, optimization, and intelligent decision systems — while gradually incorporating modern Generative AI technologies where they create measurable business value. We are seeking an Applied Machine Learning Engineer to design, build, and deploy production-grade machine learning systems across the healthcare enterprise. This is a hands-on engineering role focused primarily on predictive modeling, optimization systems, decision engines, and scalable ML infrastructure. The ideal candidate combines strong modeling expertise with production engineering and MLOps experience. In addition to traditional ML, this role will have opportunities to explore and implement Generative AI and LLM-powered capabilities as part of TAG’s evolving AI roadmap. This role works in close partnership with Enterprise IT and Platform Engineering to ensure production-grade reliability and scalability. Essential Responsibilities Machine Learning Development & Modeling (Primary Focus) • Design, develop, and deploy predictive models and ML algorithms to address business challenges such as: Schedule Optimization, Propensity Segmentation, Demand Forecasting, and Pricing, • Conduct experimentation, feature engineering, and hyperparameter tuning to improve model performance in collaboration with data scientists, • Implement advanced modeling techniques including tree-based methods, deep learning, and optimization algorithms., • Translate business requirements into scalable ML solutions in partnership with cross-functional stakeholders., • Take ownership of model performance from experimentation through production monitoring. MLOps & Production Engineering (Core Expectation) • Build scalable, secure, production-grade ML pipelines using modern cloud-native technologies., • Contribute to implementing distributed training workflows, batch and real-time inference systems, and low latency serving architectures, • Deploy models via APIs and integrate with enterprise applications., • Leverage Google Cloud Platform (GCP), including Vertex AI, BigQuery, Kubernetes, Cloud Run, Dataflow, and Pub/Sub., • Implement CI/CD workflows for ML lifecycle management within defined architecture, • Ensure reproducibility, versioning, and governance of models and features. Monitoring, Reliability & System Optimization • Define and track key performance metrics for deployed models., • Implement monitoring frameworks (e.g., Vertex AI Model Monitoring, logging, drift detection)., • Analyze model behavior in production and proactively improve reliability and performance., • Collaborate with platform and infrastructure teams to ensure models meet scalability and compliance requirements. Emerging AI Capabilities (Growth Area) • Contribute to the development of LLM-powered solutions where appropriate (e.g., knowledge retrieval, decision-support copilots)., • Support implementation of Retrieval-Augmented Generation (RAG) pipelines using BigQuery and Vertex AI., • Assist in experimentation with agent-based workflows and modern orchestration frameworks as part of TAG’s evolving AI initiatives., • Stay current with advancements in Generative AI and evaluate their practical application to enterprise healthcare use cases. Collaboration & Mentorship • Work cross-functionally with Product, Platform, Data and Software Engineering teams, • Create clear documentation for models, pipelines, and systems., • Promote engineering best practices across data science and analytics teams., • Contribute to continuous improvement of TAG’s ML platform capabilities. Qualifications Required • Bachelor’s degree in computer science, data science, engineering, or related technical field with 3-5 years of experience in machine learning engineering, data science, or related technical role., • Strong proficiency in Python and ML frameworks (Scikit-learn, TensorFlow, PyTorch, etc.)., • Experience building and deploying production-grade ML systems at scale., • Strong hands-on experience with: Google Cloud Platform (GCP), Vertex AI (training, pipelines, deployment, monitoring), BigQuery and data warehousing, • Experience with distributed systems, model deployment, and API development., • Solid understanding of software engineering principles and system design. Preferred • Experience with optimization algorithms or decision-support systems., • Familiarity with MLOps tooling (Airflow, MLflow, Kubeflow, etc.)., • Exposure to Generative AI, LLM-based systems, or RAG architecture., • Familiarity with Kubernetes, Cloud Run, Dataflow, Pub/Sub., • Experience in healthcare or regulated environments., • Familiarity with responsible AI and governance best practices. *This role is onsite 4 days/week in our Chicago office (Fulton Market District) • A generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match

Posting Type Hyrbid Job Overview Relativity powers the world's most critical legal, compliance, and investigative work. From corporate compliance to human rights, our platform must preserve trust in global investigations while handling petabytes of sensitive evidence. Our team builds the distributed data backbone that powers AI-assisted evidence analysis across billions of documents daily. We are at the forefront of Legal Data Intelligence, building technology that helps organizations Organize Data, Discover Truth, and Act on It. As a Lead Data Engineer, you are the technical leader for your team: hands-on, design focused, and accountable for elevating engineering quality. You'll drive architectural decisions, guide how systems are built, and mentor others to deliver high-performance, cloud-native data systems. You will work across modern data tooling, including Databricks, Kafka, dbt, and Snowflake, to directly support some of the most mission critical legal processes worldwide. Job Description and Requirements What You'll Do • Architect, build, and operate distributed data pipelines and services that process massive volumes of structured and unstructured data., • Design and deliver scalable, secure, and observable data integration and ETL solutions using dbt to ensure end-to-end data integrity and availability., • Partner with AI/ML engineers and data scientists to build data foundations that accelerate model training, experimentation, and production deployment., • Drive improvements in data quality, lineage, reliability, and SLAs, shaping engineering standards for your team., • Contribute reusable patterns, frameworks, and best practices that strengthen our Azure cloud-native data platform. What You'll Bring • 6+ years of experience in data engineering, backend engineering, or data architecture with substantial work on distributed systems and cloud-first data platforms., • Deep understanding of data modeling, ETL/ELT design, and workflow orchestration., • Proven ability to lead technical decisions within a team-breaking down complex problems, defining trade-offs, and driving alignment., • Strong communication skills and the ability to explain complex data concepts to diverse audiences., • A commitment to building systems that create clarity and insight through data, not just moving data from point A to point B. Preferred Experience • Expertise with Databricks and/or Azure-based data architectures., • Background building systems that support ML workflows or AI-driven applications., • Experience leading modernization or migration of large-scale data platforms., • Strong understanding of observability and cost-optimization strategies for cloudbased data systems. Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between following values: $150,000 and $224,000 The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Suggested Skills: Documentations, Innovation, Leadership, Problem Solving, Process Improvements, Project Management, Quality Assurance (QA), Risk Management, Technical Knowledge, Troubleshooting

AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation. At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD. We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived. We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD. We're hiring a Senior Technical Consultant with deep expertise in advanced routing, switching, and service provider technologies. You'll design, build, and support high-performance, carrier-grade IP networks using BGP, OSPF/ISIS, MPLS, EVPN, and modern SP platforms. Ideal for engineers who enjoy solving complex routing challenges and working in large-scale environments. • Design and engineer enterprise and service provider routing architectures (BGP, OSPF, ISIS, MPLS, EVPN)., • Support MPLS L2/L3 VPN services, VPLS/EVPN, and carrier-grade transport., • Deploy and troubleshoot core/edge routers, transit/peering links, and high-scale BGP environments., • Lead network upgrades, migrations, and new service turn-ups., • Resolve advanced routing, performance, and stability issues., • Implement routing security (prefix lists, RPKI, MaxPrefix, CoPP)., • Participate in client-facing discovery sessions, design workshops, and architecture reviews to define enterprise networking project and design requirements, • Participate in creation of High-Level Design (HLD) and Low-Level Design (LLD) documents, network diagrams, implementation runbooks, and as-built documentation, • Develop migration and cutover plans with rollback procedures, change management workflows and conduct knowledge transfer sessions, • Manage project workstreams, track milestones and deliverables, and escalate risks proactively to project and account leadership, • 7-10+ years in service provider, ISP, carrier, or large-scale enterprise networking., • Expert-level knowledge of BGP, OSPF, ISIS, MPLS (LDP/RSVPTE/SR), EVPN., • Hands-on experience with Cisco ASR/IOS-XR, Juniper MX/Junos, Nokia SR OS, or Arista platforms., • Strong troubleshooting skills, packet analysis, and protocol debugging., • Experience with QoS (DiffServ, HQoS) and traffic engineering., • Excellent communication and documentation skills., • Certifications such as CCNP/CCIE SP, JNCIP/JNCIE-SP, ARISTA ACE, • DWDM/optical networking familiarity is a plus, • Prior consulting, professional services, or managed services background with experience scoping engagements, writing SOWs, and managing client delivery timelines. The compensation range indicated in this posting reflects the On-Target Earnings ("OTE") for this role, which includes a base salary and any applicable target bonus amount. This OTE range may vary based on the candidate's relevant experience, qualifications, and geographic location. Why AHEAD: Through our daily work and internal groups like Moving Women AHEAD and RISE AHEAD, we value and benefit from diversity of people, ideas, experience, and everything in between. We fuel growth by stacking our office with top-notch technologies in a multi-million-dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning. USA Employment Benefits include: - Medical, Dental, and Vision Insurance - 401(k) - Paid company holidays - Paid time off - Paid parental and caregiver leave - Plus more! See benefits ___ for additional details. Use of AI: We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, assessing responses, or to capture recordings and create transcriptions or summaries during interviews. 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 refer to the ___ or contact us at ___. You may opt-out of the review or analysis of your application and resume by AI tools by using the ___. Please include the role you wish to apply for in the Additional Information field. You may also choose to opt-out of recording and transcription at any time, including after joining an interview. Candidates will not be penalized for choosing to opt-out.

Posting Type Remote Job Overview We are seeking a Staff Search Engineer to join the Retrieval Engineering group at Relativity. This role is ideal for a deeply technical leader in information retrieval who thrives on designing large-scale search systems, optimizing retrieval infrastructure, and advancing search quality and performance across our platform. As a Staff Search Engineer, you will play a key role in defining and evolving our retrieval architecture, shaping how we index, store, and surface data across billions of legal documents. You will build next-generation search capabilities that blend traditional IR with modern vector search and AI-driven approaches. Your impact will span multiple teams, and you'll collaborate with architecture, product, and data science leaders to ensure our retrieval stack is scalable, resilient, and aligned with both developer and customer needs. This is a high-impact role for someone who combines expert retrieval engineering capabilities with strategic thinking, mentorship, and a passion for building the future of intelligent search in a cloud-native environment. Job Description and Requirements Key Responsibilities • Architect, design, and optimize retrieval infrastructure at scale, including indexing pipelines, query execution frameworks, and storage layers., • Lead the evolution from traditional inverted-index search to hybrid retrieval systems that combine symbolic (BM25, learning-to-rank) and semantic (vector search, embeddings, RAG) approaches., • Drive adoption of retrieval best practices: query understanding, ranking models, caching, index sharding, distributed execution, and relevance evaluation., • Build fault-tolerant ingestion and indexing pipelines leveraging event-driven and microbatch architectures., • Collaborate with AI/ML engineers to integrate LLM-augmented retrieval, query expansion, re-ranking, and feedback loops into production search flows., • Partner with platform teams to ensure retrieval systems are observable, performant, and cost-efficient across multi-tenant Kubernetes clusters., • Establish benchmarking and evaluation frameworks for precision, recall, latency, and query coverage, and drive continuous improvement in retrieval quality., • Contribute to strategic technical decisions that shape Relativity's future search capabilities and ensure they scale with the growth of our data and customers., • Incorporate knowledge graph-driven retrieval by modeling legal entities and relationships, integrating graph queries with text/vector search, and applying KG features to improve ranking and explainability, • Mentor engineers across teams, lead design reviews, and champion technical excellence in search and retrieval. Required Skills and Experience • 8+ years of professional experience in software engineering, with significant focus on information retrieval systems at scale., • Deep expertise in search engines and frameworks (Elasticsearch, Solr, Lucene, Vespa, OpenSearch, or equivalent)., • Strong knowledge of retrieval models (BM25, vector similarity, hybrid retrieval, learning-to-rank, neural reranking)., • Proven experience with distributed systems and storage, including index sharding, replication, and consistency trade-offs., • Strong programming skills in Java, C++, C#, Python, or Go and experience with performance optimization at the system level., • Proficiency with data processing frameworks (Spark, Flink, Kafka, Kinesis) for indexing and retrieval pipelines., • Track key retrieval metrics such as accuracy, latency, and fallback rate., • Experience operating retrieval systems in cloud-native environments (Azure, AWS, or GCP), including containerization (Docker, Kubernetes) and CI/CD. Desirable Skills and Experience • Experience integrating vector databases (Pinecone, Weaviate, Milvus, FAISS, or pgvector) into production retrieval systems., • Familiarity with large-scale machine learning for ranking: embeddings, transformers, reinforcement learning from user feedback., • Understanding of privacy, compliance, and security requirements in enterprise search., • Experience with observability stacks (Prometheus, OpenTelemetry) applied to retrieval systems., • Experience with knowledge graph technologies (Neo4j, JanusGraph, TigerGraph, RDF/SPARQL, GraphQL, or property graphs) and their integration into hybrid retrieval systems., • Familiarity with legal tech, e-discovery, or enterprise SaaS search challenges. Why Join Us? • Define and drive the retrieval architecture and search infrastructure strategy across Relativity's platform., • Operate at the intersection of retrieval science, AI/ML, and large-scale distributed systems, with scope across teams and domains., • Work in a high-trust, action-oriented environment with autonomy, purpose, and room for deep technical exploration., • Collaborate with product, platform, and AI leaders to deliver next-generation intelligent retrieval experiences for our customers., • Join a stable, cloud-native organization investing heavily in platform engineering and AI-enabled search architectures. Why We Could BeAGreat Fit • Impactful Mission:Organize Data, Discover theTruthand Act on It- Our customersinclude Fortune500 enterprises and leading law firms managing high-stakes matters on our platform., • Growth Path:Engineers gain exposure across the stack, from distributed systems to AI-enabled workflows, accelerating career growth., • Engineering Culture:Continuous delivery, strong observability, and end-to-end ownership., • Inclusive Environment:Diverse backgrounds and perspectives make us stronger., • Community Impact:Volunteer opportunities and company-sponsored charitable programs., • Compensation & Benefits:Competitive salary, health and retirement programs, wellnessresources, discretionary time off (DTO), parental leave for primary and secondarycaregivers,twoannual company breaks, home office stipend, and an equity program. Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between following values: $174,000 and $262,000 The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills: Algorithms, Automation, Debugging, Distributed Systems, Performance Tuning, Problem Solving, Project Management, Software Development, System Designs, Technical Leadership

Summary This role is responsible for • Network policy, governance, and compliance, • Supporting, administrating and overseeing network support, • Design and analysis of new and existing architecture, • Routing/switching configuration, design and compliance, • Network related business continuity approaches, • Develop systems specifications, technical/procedural implementation plans, • Coordinating complex projects with clients and vendors., • Works with a team performing network design and support of new network and security architectures for "on premise" and Cloud networks. Primary Duties and Responsibilities • Oversee the full lifecycle of network infrastructure, including the design, deployment, support, compliance and documentation of routing, switching, firewalls and cloud-base solutions., • Lead and coordinate network changes, ensuring security, performance and compliance with governance framework (NIST-CSF, COBIT)., • Collaborate with vendors, carriers, and engineering teams to resolve complex issues and drive large-scale project to completion., • Provide strategic direction for network planning, maintaining up-to-date documentation and deliver on-call operational support to ensure reliability and business continuity., • Lead and coordinate the development, implementation and management of policies, procedures and controls., • Create and manage Risk Intakes/Acceptance(s) when required., • Lead and support Vulnerability Management efforts., • Proactively maintain awareness of policy and procedure changes that could affect networks compliance., • Work with and manage requests for documentation from Auditors or Exams., • Maintain an accurate inventory of Business Applications and Devices in Service-now., • Create, update, and validate Configuration Baselines for Network applications and equipment., • Perform consistent compliance Audit/validations throughout the network., • Lead remediation efforts related to findings and observations in areas of responsibility. Ensure remediation addresses root cause, improves OCC's residual risk and is completed in a timely manner Supervisory Responsibilities • None Qualifications • [Required] Excellent presentation skills including planning, material preparation and public speaking, • [Required] Demonstrated capability to tailor communications to the technical level of the audience, • [Required] Clear, concise and precise written and verbal communication skills to effectively communicate with people of various backgrounds, • [Required] Strong interpersonal, leadership, project management and mentoring skills, • [Required] Strong ability to use solution-oriented approach towards problem resolution, • [Required] Ability to work independently and be a team player Technical Skills • [Preferred] Experience working in and developing solutions for a highly regulated environment or organization that leverages a security framework (such as NIST, COBIT, etc), • [Required] Experience directing use of tools such as Ansible, Terraform, Jenkins, Python, and Github (or industry equivalent), • [Required] Experience delivering Infrastructure as code, • [Required] Experience building cloud infrastructure in environments such as AWS (Preferred), Azure, or Google Cloud, or similar service, • [Preferred] Knowledge of Controls, Risk Ranking/mapping, Remediation items and general IT audit, • [Preferred] Understanding of NIST Special Publication 800-53 (Rev. 4) and COBIT framework, • [Required] Advanced experience with architecting, designing, deploying, and operating network elements such as DNS/IPAM; Firewalls; Network Access Control Solutions (NAC); load balancing; DDoS mitigation, tapping/sniffing infrastructures; and NTP, • [Preferred] Experience with Cisco IOS/NX-OS configurations, • [Preferred] Experience with GRC Technologies such as Archer, • [Preferred] Experience with CIS Benchmarks Education and/or Training • [Required] Bachelor's degree, preferably in a technical discipline (Computer Science, Mathematics, etc.) or equivalent combination of education and experience., • [Required] 5+ years of experience in IT systems installation, operations, administration, and maintenance of virtualized servers / cloud systems Certifications • [Preferred] Relevant industry certifications such as Microsoft Azure or Google Cloud, • [Preferred] Cisco Certified Network Professional (CCNP or CCDP) equivalent field experience, • [Required] AWS certifications such as DevOps Engineer, Solutions Architect, Advanced Networking, or Security or equivalent field experience, • [Preferred] Cisco Certified Internetwork Engineer (CCIE) Certification About Us The Options Clearing Corporation (OCC) is the world's largest equity derivatives clearing organization. Founded in 1973, OCC is dedicated to promoting stability and market integrity by delivering clearing and settlement services for options, futures and securities lending transactions. As a Systemically Important Financial Market Utility (SIFMU), OCC operates under the jurisdiction of the U.S. Securities and Exchange Commission (SEC), the U.S. Commodity Futures Trading Commission (CFTC), and the Board of Governors of the Federal Reserve System. OCC has more than 100 clearing members and provides central counterparty (CCP) clearing and settlement services to 19 exchanges and trading platforms. More information about OCC is available at . Benefits A highly collaborative and supportive environment developed to encourage work-life balance and employee wellness. Some of these components include: • A hybrid work environment, up to 2 days per week of remote work, • Tuition Reimbursement to support your continued education, • Student Loan Repayment Assistance, • Technology Stipend allowing you to use the device of your choice to connect to our network while working remotely, • Generous PTO and Parental leave, • 401k Employer Match, • Competitive health benefits including medical, dental and vision Visit ___ for more information. Compensation • The salary range listed for any given position is exclusive of fringe benefits and potential bonuses. If hired at OCC, your final base salary compensation will be determined by factors such as skills, experience and/or education., • In addition, we believe in the importance of pay equity and consider internal equity of our current team members as part of any final offer., • We typically do not hire at the maximum of the range in order to allow for future and continued salary growth. We also offer a substantial benefits package as noted on ___, • All employees may be eligible for a discretionary bonus. Discretionary bonuses are based on various factors, including, but not limited to, company and individual performance and are not guaranteed. Salary Range $108,600.00 - $154,500.00 Incentive Range 8% to 15% This position is eligible for an annual discretionary incentive compensation award, for which the target range is listed above (see Incentive Range). The amount of such award, if any, will be based on various factors, including without limitation, both individual and company performance. Step 1 When you find a position you're interested in, click the 'Apply' button. Please complete the application andattach your resume. Step 2 You will receive an email notification to confirm that we've received your application. Step 3 If you are called in for an interview, a representative from OCC will contact you to set up a date, time, and location. For more information about ___, please click ___. OCC is an Equal Opportunity Employer

What You'll Do: This position will join OCC's centralized data analytics team to enhance organizational data analytics capabilities through close business partnership, requirements gathering, and solution delivery. The individual will collaborate extensively with the Data Engineering team to architect and develop the internal analytics data layer and maintain supporting ETL processes. The successful candidate will develop deep expertise in OCC's data models and provide cross-organizational support to maximize data utilization. They will tackle strategic data challenges affecting multiple teams by developing solutions that address immediate needs while anticipating future analytical requirements. This role involves both promoting and enforcing analytics standards while ensuring business teams have appropriate data access for BI reporting, dashboarding, and ad-hoc analysis needs. Primary Duties and Responsibilities: To perform this job successfully, an individual must be able to perform each primary duty satisfactorily. * Design and maintain OCC analytics solutions drawing from both raw and semantic data layers * Partner with business units to gather requirements and develop targeted analytics solutions * Create data models ensuring information availability in the analytics warehouse for analysis and dashboard development * Help establish Data Analytics standards and collaborate with embedded business analysts to ensure adherence * Develop comprehensive documentation and testing protocols to guarantee data accuracy and accessibility * Identify and distribute data and analytics best practices across the team * Continuously expand knowledge of data and analytics engineering methodologies to enhance infrastructure maintainability and reliability * Champion self-service capabilities and data literacy among business users through semantic layer utilization, analytics platforms (Tableau, Python), and CI/CD tools * Pursue ongoing professional development in data analytics, cloud computing, options trading, and financial risk management to improve analytics infrastructure * Provide guidance to business-embedded data analysts in addressing analytical challenges and support ad-hoc development needs Supervisory Responsibilities: None Qualifications: The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the primary functions. * [Required] Ability to collaborate with multiple partners (e.g. Business Users, Data and Solution Architects, Data Governance and IT teams -- Data Platform Team, Systems & Infrastructure, Security, DevOps, Networking) to craft solutions that align business goals with internal processes, security, and delivery standards in mind. * [Required] Ability to communicate technical concepts to audiences with varying levels of technical background and synthesize non-technical requests into technical output * [Required] Comfortable supporting business analysts on high-priority projects * [Required] High attention to detail, tradeoffs, and an ability to think structurally about a solution Technical Skills: * [Required] Ability to write and optimize complex analytical (SELECT) SQL queries * [Required] Ability to write and optimize python for custom data pipeline code (virtual environments, scripts vs. modules vs packages, functional programming, unit testing) * [Required] Strong Experience with data viz/prep tools (preferably Tableau and Alteryx) * [Required] Experience with a source code version control repository system, branch management, pull requests (preferably Git) * [Preferred] Experience with transformation/semantic layer frameworks, such as dbt * [Preferred] Familiarity with services on at least one cloud computing platform, such as AWS or Azure, or a cloud data platform such as Databricks or Snowflake * [Preferred] Familiarity with data modeling design concepts such as 3rd-normal form or denormalization modeling concepts such as star-schema * [Preferred] Exposure to batch orchestration tools such as Apache Airflow, Dagster, or Prefect * [Preferred] Understanding of applied statistics and hands-on experience applying these concepts Education and/or Experience: * [Required] Bachelor's or Master's degree in a quantitative discipline (e.g., Statistics, Computer Science, Mathematics, Physics, Data Science, Electrical Engineering, Information Systems) or equivalent professional experience * [Required] 3+ years of experience as a data analyst, data engineer, software engineer, data scientist, financial risk analyst, business intelligence analyst Certificates or Licenses: * [Preferred] BI tool certification, or * [Preferred] Financial Analyst certification About Us The Options Clearing Corporation (OCC) is the world's largest equity derivatives clearing organization. Founded in 1973, OCC is dedicated to promoting stability and market integrity by delivering clearing and settlement services for options, futures and securities lending transactions. As a Systemically Important Financial Market Utility (SIFMU), OCC operates under the jurisdiction of the U.S. Securities and Exchange Commission (SEC), the U.S. Commodity Futures Trading Commission (CFTC), and the Board of Governors of the Federal Reserve System. OCC has more than 100 clearing members and provides central counterparty (CCP) clearing and settlement services to 19 exchanges and trading platforms. More information about OCC is available at . Benefits A highly collaborative and supportive environment developed to encourage work-life balance and employee wellness. Some of these components include: • A hybrid work environment, up to 2 days per week of remote work, • Tuition Reimbursement to support your continued education, • Student Loan Repayment Assistance, • Technology Stipend allowing you to use the device of your choice to connect to our network while working remotely, • Generous PTO and Parental leave, • 401k Employer Match, • Competitive health benefits including medical, dental and vision Visit ___ for more information. Compensation • The salary range listed for any given position is exclusive of fringe benefits and potential bonuses. If hired at OCC, your final base salary compensation will be determined by factors such as skills, experience and/or education., • In addition, we believe in the importance of pay equity and consider internal equity of our current team members as part of any final offer., • We typically do not hire at the maximum of the range in order to allow for future and continued salary growth. We also offer a substantial benefits package as noted on ___, • All employees may be eligible for a discretionary bonus. Discretionary bonuses are based on various factors, including, but not limited to, company and individual performance and are not guaranteed. Salary Range $84,700.00 - $145,600.00 Incentive Range 6% to 10% This position is eligible for an annual discretionary incentive compensation award, for which the target range is listed above (see Incentive Range). The amount of such award, if any, will be based on various factors, including without limitation, both individual and company performance. Step 1 When you find a position you're interested in, click the 'Apply' button. Please complete the application andattach your resume. Step 2 You will receive an email notification to confirm that we've received your application. Step 3 If you are called in for an interview, a representative from OCC will contact you to set up a date, time, and location. For more information about ___, please click ___. OCC is an Equal Opportunity Employer

What You'll Do: This role is responsible for supporting, administrating and overseeing network support, design and analysis of new and existing architectures, routing/switching configuration and design, and network related business continuity approaches; develop systems specifications, technical implementation plans and coordinating complex installation projects with clients and vendors. Works with a team performing network design and support of new network and security architectures for "on premise" and Cloud networks. Primary Duties and Responsibilities: To perform this job successfully, an individual must be able to perform each primary duty satisfactorily. Oversee the full lifecycle of network infrastructure, including the design, deployment, support, and documentation of routing, switching, firewalls and cloud-base solutions. Lead and coordinate network changes, ensuring security, performance and compliance with governance framework (NIST-CSF, COBIT). Collaborate with vendors, carriers, and engineering teams to resolve complex issues and drive large-scale project to completion. Provide strategic direction for network planning, maintaining up-to-date documentation and deliver on-call operational support to ensure reliability and business continuity. Supervisory Responsibilities: * None Qualifications: The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the primary functions. * [Required] Excellent presentation skills including planning, material preparation and public speaking * [Required] Demonstrated capability to tailor communications to the technical level of the audience * [Required] Clear, concise and precise written and verbal communication skills to effectively communicate with people of various backgrounds * [Required] Strong interpersonal, leadership, project management and mentoring skills * [Required] Strong ability to use solution-oriented approach towards problem resolution * [Required] Ability to work independently and be a team player Technical Skills: * [Required] Experience directing use of tools such as Ansible, Terraform, Jenkins, Python, and Github (or industry equivalent) * [Required] Experience delivering Infrastructure as code * [Required] Experience building cloud infrastructure in environments such as AWS (Preferred), Azure, or Google Cloud, or similar service * [Required] Knowledge of layer 3 routing and switching * [Required] Experience with IOS, NX-OS, and XR * [Required] Advanced experience with architecting, designing, deploying, and operating network elements such as DNS/IPAM; Firewalls; Network Access Control Solutions (NAC); load balancing; DDoS mitigation, tapping/sniffing infrastructures; and NTP * [Required] Excellent physical communication troubleshooting skills using cabling and signaling analyzer, packet capture and analysis * [Required] Advanced WAN, LAN, TCP/IP, VPN, Ethernet Skills * [Required] Extensive EIGRP, BGP4, RIP and OSPF Routing Protocol knowledge * [Preferred] Experience with SDN deployments or Cisco ACI || [Required] Experience with IP route and switching for mainframe and storage appliances Education and/or Experience: * [Required] Bachelor's degree, preferably in a technical discipline (Computer Science, Mathematics, etc.) or equivalent combination of education and experience. * [Required] 5+ years of experience in IT systems installation, operations, administration, and maintenance of virtualized servers / cloud systems Certificates or Licenses: * [Preferred] Relevant industry certifications such as Microsoft Azure or Google Cloud * [Preferred] Cisco Certified Network Professional (CCNP or CCDP) equivalent field experience * [Required] AWS certifications such as DevOps Engineer, Solutions Architect, Advanced Networking, or Security or equivalent field experience * [Preferred] Cisco Certified Internetwork Engineer (CCIE) Certification About Us The Options Clearing Corporation (OCC) is the world's largest equity derivatives clearing organization. Founded in 1973, OCC is dedicated to promoting stability and market integrity by delivering clearing and settlement services for options, futures and securities lending transactions. As a Systemically Important Financial Market Utility (SIFMU), OCC operates under the jurisdiction of the U.S. Securities and Exchange Commission (SEC), the U.S. Commodity Futures Trading Commission (CFTC), and the Board of Governors of the Federal Reserve System. OCC has more than 100 clearing members and provides central counterparty (CCP) clearing and settlement services to 19 exchanges and trading platforms. More information about OCC is available at . Benefits A highly collaborative and supportive environment developed to encourage work-life balance and employee wellness. Some of these components include: • A hybrid work environment, up to 2 days per week of remote work, • Tuition Reimbursement to support your continued education, • Student Loan Repayment Assistance, • Technology Stipend allowing you to use the device of your choice to connect to our network while working remotely, • Generous PTO and Parental leave, • 401k Employer Match, • Competitive health benefits including medical, dental and vision Visit ___ for more information. Compensation • The salary range listed for any given position is exclusive of fringe benefits and potential bonuses. If hired at OCC, your final base salary compensation will be determined by factors such as skills, experience and/or education., • In addition, we believe in the importance of pay equity and consider internal equity of our current team members as part of any final offer., • We typically do not hire at the maximum of the range in order to allow for future and continued salary growth. We also offer a substantial benefits package as noted on ___, • All employees may be eligible for a discretionary bonus. Discretionary bonuses are based on various factors, including, but not limited to, company and individual performance and are not guaranteed. Salary Range $123,500.00 - $176,500.00 Incentive Range 8% to 15% This position is eligible for an annual discretionary incentive compensation award, for which the target range is listed above (see Incentive Range). The amount of such award, if any, will be based on various factors, including without limitation, both individual and company performance. Step 1 When you find a position you're interested in, click the 'Apply' button. Please complete the application andattach your resume. Step 2 You will receive an email notification to confirm that we've received your application. Step 3 If you are called in for an interview, a representative from OCC will contact you to set up a date, time, and location. For more information about ___, please click ___. OCC is an Equal Opportunity Employer

AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation. At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD. We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived. We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD. • Monitor and manage the health and performance of the client instance of AHEAD Managed Security SIEM platforms and deployed SIEM agents, • Partner with client Security team and other AHEAD Managed Security and in the design and implementation of new data visualizations and custom detection rules, • Tuning of rules, filters, and policies for detection-related security technologies to improve accuracy and visibility, • Attend client-facing security meetings and provide updates to SOC metrics, ongoing projects, and technical issues, • Join incident bridges in response to IT or security incidents to provide an expert opinion and assistance with querying available log data related to the incident, • Engage with client security and IT infrastructure teams for new data source onboarding activities, including ingestion, normalization, and enrichment through various ingestion methods, • Assist with planning, implementation, and validation of changes applied by AHEAD or client infrastructure teams to remediate penetration test findings, • Provide evidence required to support the completion of audit and compliance questionnaires, as it applies to AHEAD support to the client, • Perform configuration and content development including index lifecycle management, data ingestion, detection rule tuning and more within the SIEM platform, • Perform robust capacity planning activities within SIEM platform to ensure data source ingestion remains within contracted scope, • Partner with AHEAD Managed Security SOAR engineering resources for integrations and security incident investigation workflow design and continuous improvement, • Data mining of log sources to uncover and investigate anomalous activity, along with related items of interest, • Assist with the development of processes and procedures to improve incident response times, analysis of incidents, and overall Managed Security functions, • Experience with Elastic Security and all its components (Elasticsearch, Logstash, Kibana, Filebeat, Elastic Agent), • SIEM administration, configuration experience, • Experience writing tools to automate tasks and integrate systems in Python or other language, • The ability to think creatively to find elegant solutions to complex problems, • Excellent verbal and written communication skills, • Incident handling/response experience, • The desire to work both independently and collaboratively with a larger team, • A willingness to be challenged along with a strong appetite for learning, • 2-4 years of experience in Information Security, Incident Response, security automation, etc., • Hands-on experience with common security technologies (IDS, Firewall, SIEM, SOAR, EDR, etc.), • Knowledge of common security analysis tools & techniques, • Understanding of common security threats, attack vectors, vulnerabilities, and exploits, • Knowledge of regular expressions, • Customer service focused and portrays energy, professionalism, and welcoming characteristics., • Strong ability to work in a highly sensitive and confidential environment., • Ability to meet deadlines and handle sensitive and pressured situations., • Ability to identify issues and help develop strategy and tactical plans for various department initiatives., • Ability to use good judgment and decision-making skills, • Bachelors Degree in Computer Science, Information Security or related/equivalent educational or work experience, • One or more of the following certifications: CISSP, GCIA, GCIH, GPYC, GMON, GCDA, Elastic Certified Engineer The compensation range indicated in this posting reflects the On-Target Earnings ("OTE") for this role, which includes a base salary and any applicable target bonus amount. This OTE range may vary based on the candidate's relevant experience, qualifications, and geographic location. Why AHEAD: Through our daily work and internal groups like Moving Women AHEAD and RISE AHEAD, we value and benefit from diversity of people, ideas, experience, and everything in between. We fuel growth by stacking our office with top-notch technologies in a multi-million-dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning. USA Employment Benefits include: - Medical, Dental, and Vision Insurance - 401(k) - Paid company holidays - Paid time off - Paid parental and caregiver leave - Plus more! See benefits ___ for additional details. Use of AI: We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, assessing responses, or to capture recordings and create transcriptions or summaries during interviews. 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 refer to the ___ or contact us at ___. You may opt-out of the review or analysis of your application and resume by AI tools by using the ___. Please include the role you wish to apply for in the Additional Information field. You may also choose to opt-out of recording and transcription at any time, including after joining an interview. Candidates will not be penalized for choosing to opt-out.

AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation. At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD. We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived. We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD. • Provide mentorship, coaching, and professional development opportunities to team members, empowering them to grow and excel in their roles., • Manage a team of 6 to 8 technical consultants responsible for oversight and escalation support on team members projects, • Work with delivery leadership to ensure successful project outcomes using business defined KPI's, • Ensure projects are delivered on time, at the highest quality standards while exceeding client expectations., • Design and implement complex, mission-critical transformational enterprise grade technical solutions for clients., • Build and maintain strong client relationships, drive business growth, and identify opportunities for upselling and cross-selling, • Develop high quality deliverables and presentations for Client engineering teams and senior leaders, this can include both technical documentation and non-technical documentation., • Collaborate with clients to understand their technical challenges and develop tailored solutions to address their needs, • Create and present solution designs, options, ideas, and innovations to clients' senior leadership teams., • Develop and maintain Technical Roadmaps and Services Portfolio., • Actively lead collaboration within our technical communities, • Experience and ability to "jump on a whiteboard" in front of a customer to develop a solution to a business / technology goal or challenge., • Strong consulting and business acumen, • Previous technical oversight and leadership experience in a consulting environment, • Previous experience working in Salesforce and or PowerBI for KPI tracking, • 10+ years in IT, with at least 5+ years specialized in Cloud Networking and DevOps. In-depth knowledge of BGP, OSPF, VPNs, Direct Connect/ExpressRoute, Load Balancing, and container networking (Kubernetes)., • Expert-level credentials such as AWS Certified Solutions Architect - Professional, Azure Solutions Architect Expert, Cisco CCIE Enterprise Infrastructure or Palo Alto Certified Solutions Engineer, • Infrastructure as Code (IaC): Proficiency in Terraform or CloudFormation to build reproducible, hardened network stacks., • Hands-on experience in programming with Java, Python or any development language., • Excellent written & verbal communication and interpersonal skills.

Duties: Design, support, and automate virtualization environment. Provide operational support for the existing and future virtualization and computing and VDI architectures, including designing solutions to support existing and future services and enhance security posture. Develop network baselines and evaluate and remediate vulnerabilities and security findings. Meet with Business, IT and Security Leaders to develop requirements and communicate changes to the network environment. Architect, configure, and support Cisco UCS systems and VMWare environment including SDDC Manager, vROPS, or NSX. Engineer and implement hybrid and public cloud infrastructure leveraging AWS native services or VMware Cloud on AWS. Identify the sources of manual work and automate using PowerShell/PowerCLI. Design, deploy, maintain, and manage physical server hardware such as Dell, Cisco UCS, or HP, and hyperconverged infrastructure including VMware vSAN. Address network performance problems of systems integration, compatibility, and multiple platforms. Evaluate and recommend application integration and testing tools. Apply comprehensive advanced technical knowledge of VMware virtualization technologies concepts, processes, practices, and procedures on technical assignments. Troubleshoot production problems, including performance and runtime issues within the virtualization environment. Provide Disaster Recovery testing support. Provide on-call support according to assigned schedule. Document changes, policies and procedures and drawings. Up to 40% telecommuting permitted. OCC offers a standard benefits package. Education & Experience Required: Bachelor's degree in computer science, telecommunication networks, or related and five (5) years of experience as a systems administrator, systems advisor, consultant, or related Special Skills Required: Must have work experience with each of the following: 1) architecting, configuring, and supporting Cisco UCS systems and VMWare environment including SDDC Manager, vROPS, or NSX; 2) engineering and implementing hybrid and public cloud infrastructure leveraging AWS native services or VMware Cloud on AWS; 3) identifying the sources of manual work and automating using PowerShell/PowerCLI; and 4) designing, deploying, maintaining, and managing physical server hardware such as Dell, Cisco UCS, or HP, and hyperconverged infrastructure including VMware vSAN. Up to 40% telecommuting permitted. Salary $135,100-$158,500 Apply: OCC offers a standard benefits package. See a full list of benefits here: ___. Apply online at ___. No calls. EOE. About Us The Options Clearing Corporation (OCC) is the world's largest equity derivatives clearing organization. Founded in 1973, OCC is dedicated to promoting stability and market integrity by delivering clearing and settlement services for options, futures and securities lending transactions. As a Systemically Important Financial Market Utility (SIFMU), OCC operates under the jurisdiction of the U.S. Securities and Exchange Commission (SEC), the U.S. Commodity Futures Trading Commission (CFTC), and the Board of Governors of the Federal Reserve System. OCC has more than 100 clearing members and provides central counterparty (CCP) clearing and settlement services to 19 exchanges and trading platforms. More information about OCC is available at . Benefits A highly collaborative and supportive environment developed to encourage work-life balance and employee wellness. Some of these components include: • A hybrid work environment, up to 2 days per week of remote work, • Tuition Reimbursement to support your continued education, • Student Loan Repayment Assistance, • Technology Stipend allowing you to use the device of your choice to connect to our network while working remotely, • Generous PTO and Parental leave, • 401k Employer Match, • Competitive health benefits including medical, dental and vision Visit ___ for more information. Compensation • The salary range listed for any given position is exclusive of fringe benefits and potential bonuses. If hired at OCC, your final base salary compensation will be determined by factors such as skills, experience and/or education., • In addition, we believe in the importance of pay equity and consider internal equity of our current team members as part of any final offer., • We typically do not hire at the maximum of the range in order to allow for future and continued salary growth. We also offer a substantial benefits package as noted on ___ Step 2 You will receive an email notification to confirm that we've received your application. Step 3 If you are called in for an interview, a representative from OCC will contact you to set up a date, time, and location. For more information about ___, please click ___. OCC is an Equal Opportunity Employer

Posting Type Remote/Hybrid Job Overview As an Advanced Security Engineer focused on Endpoint Security, you will design, build, and operate security controls that protect Relativity's employee endpoints and the enterprise systems they access. You will help establish hardened, standardized, and measurable endpoint security foundations that reduce risk while preserving productivity, partnering closely with IT and Security teams to deliver securebydefault device experiences. This role blends handson software engineering with systemlevel security ownership in a modern cloud environment. Job Description and Requirements Role Responsibilities * Design, implement, andoperateendpoint security controls across laptops and mobile devices * Build automation and tooling to enforce secure configuration baselines and reduce manual effort * Partner with IT on device management, deployment, and lifecycle security * Reduce enterprise risk by hardening devices, limiting standing privilege, and improving visibility * Participate in incident response and endpointrelated investigations in partnership with Cyber teams * Continuously improve endpoint security posture using metrics, telemetry, and risk insights Minimum qualifications: * Bachelor's in Computer Science, Information Security, or equivalent experience. * 2+ years of commercial experience in software developmentand scripting(C#, Python,Javaor other general-purpose modern programming language) with a solid understanding of computer science fundamentals, including algorithms and data structures * Experience securing andoperatingmanaged endpoints at scale * Familiarity with modern device management and endpoint protection concepts * Ability to translate security policy into automated, enforceable controls * Comfort working across teams to deliver secure outcomes without friction * Experience with cloud technologies(preferably Azure),DevSecOpspractices, and automation tools (e.g., GitHub Actions). * Growth mindset and eagerness to learn across engineering and securitydomains. * Ability to take feedback and strive for continual improvement. Preferred qualifications: * Experience securing cloud-native applications / SaaS solutions and networks. * Familiarity with vulnerability scanning and threat protection. * Relevant certifications: * Microsoft Certified: Azure Security Engineer Associate (AZ-500). * Microsoft Certified: Identity and Access Administrator Associate (SC-300). * Knowledge of Zero Trustprinciplesand compliance standards (e.g., GDPR, HIPAA). * Exposure to other cloud platforms(AWS, GCP). Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between following values: $104,000 and $156,000 The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills: Endpoint Security, Network Security, Penetration Testing, Security Architecture Design, Security Automation, Security Information, Security Information and Event Management (SIEM), Security Operations, Threat Modeling, Vulnerability Management

Aon his hiring a Workday Configuration Engineer to support our Human Resources business processes. This role is a virtual position from the US, which can include coming into a local office for initial training. At Aon, we shape decisions for the better to protect and enrich the lives of people around the world. As an organization, we are united through trust as one inclusive team, and we are passionate about helping our colleagues and clients succeed. This role includes but is not limited to the following responsibilities: • Design, develop, test, and deploy Workday integrations using Workday Studio, EIB, Core Connectors, and other integration tools to support HR business processes., • Configure Workday modules, including HCM, Compensation, and Advanced Compensation, based on business requirements and system standard processes., • Develop reports and dashboards in Workday, ensuring accuracy, usability, and data integrity for stakeholders across the organization., • Collaborate with business analysts, HRIT, and stakeholders to understand requirements and translate them into technical solutions within Workday., • Troubleshoot and resolve issues related to Workday integrations, configurations, and data flows, providing timely support and root cause analysis., • Ensure compliance with security and data privacy standards., • Participate in Workday release management activities, including reviewing new features, testing updates, and implementing enhancements., • Document technical specifications, integration designs, and system configurations to support ongoing maintenance and knowledge sharing., • Work with offshore teams and external vendors to deliver global solutions and ensure consistent system performance., • Hands-on experience developing integrations and configurations in Workday HCM (5-6 years) preferred., • Experience working in or with teams in the US, the UK, Poland, Thailand, and India., • Workday certification in Integration, Studio, or Reporting, and with project management methodologies (e.g., Agile, Scrum) is a plus., • Background in working with Workday Extend is preferred, • Familiarity with enterprise HR platforms and cloud technologies., • Workday Developer or Workday Integration Specialist in a global corporate environment (3-4 years)., • Proven experience designing, developing, and maintaining Workday integrations (e.g., EIB, Workday Studio, Core Connectors, Cloud Connect)., • Experience configuring Workday modules and developing custom reports and calculated fields., • Solid understanding of Workday data model, business process framework, and security configuration., • Proven ability to manage multiple development projects simultaneously in a fast-paced environment., • Must be a self-starter, independent, team player, proactive., • Experience collaborating with off-shore teams and managing resource allocation effectively., • Good communication skills, with the ability to explain technical concepts to non-technical partners and work effectively in cross-functional teams., • Proficiency in integration development, troubleshooting, and Workday reporting tools. (Update education; accordingly, however, state "Equivalent years of industry experience" if applicable) In addition to our comprehensive benefits package, we encourage an inclusive workforce. Plus, our agile environment allows you to manage your wellbeing and work/life balance, ensuring you can be your best self at Aon. Furthermore, all colleagues enjoy two "Global Wellbeing Days" each year, encouraging you to take time to focus on yourself. We offer a variety of working style solutions for our colleagues as well. Our continuous learning culture inspires and equips you to learn, share and grow, helping you achieve your fullest potential. As a result, at Aon, you are more connected, more relevant, and more valued. Aon values an innovative and inclusive workplace where all colleagues feel empowered to be their authentic selves. Aon is proud to be an equal opportunity workplace. Aon provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, veteran, marital, domestic partner status, or other legally protected status. People with criminal histories are encouraged to apply. We are committed to providing equal employment opportunities and fostering an inclusive workplace. If you require accommodations during the application or interview process, please let us know. You can request accommodations by emailing us at___or your recruiter. We will work with you to meet your needs and ensure a fair and equitable experience. For positions in San Francisco and Los Angeles, we will consider for employment qualified applicants with arrest and conviction record in accordance with local Fair Chance ordinances. Aon is not accepting unsolicited resumes from search firms for this position. If you are a search firm, you will not be compensated in any way for your submission of a candidate, even if Aon hires that candidate. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time. The salary range for this position (intended for U.S. applicants) is $120,000-$160,000 annually. The actual salary will vary based on applicant's education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant's geographic location. This position is eligible to participate in one of Aon's annual incentive plans to receive an annual discretionary bonus in addition to base salary. The amount of any bonus varies and is subject to the terms and conditions of the applicable incentive plan. Aon offers a comprehensive package of benefits for full-time and regular part-time colleagues, including, but not limited to: a 401(k) savings plan with employer contributions; an employee stock purchase plan; consideration for long-term incentive awards at Aon's discretion; medical, dental and vision insurance, various types of leaves of absence, paid time off, including 12 paid holidays throughout the calendar year, 15 days of paid vacation per year, paid sick leave as provided under state and local paid sick leave laws, short-term disability and optional long-term disability, health savings account, health care and dependent care reimbursement accounts, employee and dependent life insurance and supplemental life and AD&D insurance; optional personal insurance policies, adoption assistance, tuition assistance, commuter benefits, and an employee assistance program that includes free counseling sessions. Eligibility for benefits is governed by the applicable plan documents and policies. 2025-97351

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data - securing and protecting private information more effectively - Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role: As a Consulting Architect, you will play a pivotal role in helping customers realize the value of Elastic's Solutions. While your primary focus will be on observability, you are a versatile expert capable of designing and scaling security architectures to strengthen detection, response, and resilience. Acting as a trusted technical advisor, you will work with enterprises to improve application performance, infrastructure visibility, and end-user experience, while also improving their overall security posture. You will collaborate cross-functionally with Professional Services, Engineering, Product, and Sales to accelerate adoption of the Elastic platform, ensuring customers maximize the value of their data while achieving critical business outcomes. What You Will Be Doing: • Solution Design & Delivery: Translate business and technical requirements into scalable, outcome-driven solutions built on the Elastic Stack., • End-to-End Engagement: Lead the delivery of customer projects from discovery and roadmap design through implementation, enablement, and optimization., • Architecting Observability: Partner with customers to deploy and operationalize solutions for distributed tracing, metrics pipelines, log aggregation, and SLOs/SLIs., • Architecting Security: Guide customers in SIEM, endpoint, and cloud security use cases to improve threat detection and security analytics., • Data Engineering: Optimize ingestion pipelines for performance, scalability, and resiliency using Elastic Agents, Beats, Logstash, and stream processing., • Actionable Insights: Design and implement custom dashboards, visualizations, detection rules, and alerting in Kibana for both observability and security operations., • Technical Leadership: Provide oversight and knowledge transfer to customers and teammates throughout the project lifecycle., • Community & Culture: Capture and share best practices and solution patterns, contributing to internal enablement and a culture of continuous learning. What You Bring: • Professional Expertise: 5+ years as a consultant, architect, or engineer with deep expertise in observability or monitoring, and a strong capability in security domains., • Deployment Experience: Proven track record of deploying Elastic Observability (APM, logs, metrics) and Elastic Security (SIEM, endpoint) or similar enterprise-scale solutions., • Data Pipeline Mastery: Strong experience with time-series data ingestion, parsing, and normalization (ECS), including the use of Kafka or Redis., • Infrastructure Knowledge: Hands-on expertise with distributed systems, Linux, Kubernetes, and public cloud platforms such as AWS, Azure, or GCP., • Security Literacy: Familiarity with incident response workflows and common frameworks such as MITRE ATT&CK, NIST, or ISO 27001., • Technical Skills: Proficiency in at least one programming or scripting language (e.g., Python, Java, or PowerShell)., • Communication: Strong presentation skills with the ability to engage directly with stakeholders and explain complex technical concepts., • Education: Bachelor's, Master's, or PhD in Computer Science, Engineering, Cybersecurity, or a related field, or equivalent experience., • Flexibility: Comfort working in highly distributed, remote teams and a willingness to travel to customer sites as required. Bonus Points: • Elastic Certification: Elastic Certified Engineer or deep expertise with Elasticsearch and Lucene., • Consulting Background: Prior experience in Big 4 or equivalent professional services environments., • Modern Tooling: Experience with Infrastructure-as-Code (Terraform, Ansible) and container orchestration (ECK)., • Emerging Tech: Knowledge of machine learning or AI as applied to observability and security., • Public Presence: Experience with public speaking at conferences or contributing to open-source projects., • Languages: Multilingual communication skills (e.g., French, German, Spanish) for global engagement. Additional Information - We Take Care of Our People: As a distributed company, diversity drives our identity. Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions, and while regulations differ from place to place, we believe taking care of our people is the right thing to do. • Competitive pay based on the work you do here and not your previous salary, • Health coverage for you and your family in many locations, • Ability to craft your calendar with flexible locations and schedules for many roles, • Generous number of vacation days each year, • Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service, • Up to 40 hours each year to use toward volunteer projects you love, • Embracing parenthood with a minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email ___. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws and can view the following posters linked below: Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries' export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see ___ for our Privacy Statement.

We are looking for a Pre-Sales Systems Engineer to work closely with our SMB sales teams. The Pre-Sales Systems Engineer's main mission is to support the sales organization in all technical matters related to pre-sales, opportunity management, and customer success. As a Systems Engineer, you will enable sales engagements into a set of new and existing accounts. You will play a pivotal role to discover and assess IT business goals and challenges. You will develop solutions based on those requirements using the Fortinet product and service portfolio. You will provide compelling and accurate presentations of those solutions to the customers or Fortinet partners. Responsibilities • Assess customer project requirements, • Align client needs with appropriate Fortinet solutions, • Partner with internal peers to pursue sales opportunities, • Supply Networking/Security guidance in the pre-sale's engagements, • Cross team collaboration, • Continuous self-improvement and learning to keep technical leadership of applicable technologies (data center, SDN (Software Defined Networking), public cloud, security, networking, etc.), • Ensure ongoing customer success, support, and growth Requirements • 3 years' experience in a related field, • The Inside Systems Engineer is required to customarily and regularly work outside of their office or home office engaged in selling, including travel as needed to make a sale. A strong proficiency in: • Cybersecurity fundamentals, including common cybersecurity issues, threats, attacks, and vulnerabilities, • Principles of cyber threat management and incident response, • Networking fundamentals including the OSI model and specifics of common network protocols, • Critical thinking, • Professional communication and presentation General knowledge of at least 2 of the following: • Network Operations, • Breach Detection and Prevention, • Security Operations, • DevOps, • Wired and wireless Access, • Identity and Access Management, • Public and private cloud, • Web content and security accelerationFortinet offers employees a variety of benefits, including medical, dental, vision, life and disability insurance, 401(k), 11 paid holidays, vacation time, and sick time as well as a comprehensive leave program. Wage ranges are based on various factors including the labor market, job type, and job level. On target earnings for this position is expected to be $130,000 - $200,000 per year. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location.All roles are eligible to participate in the Fortinet equity program, and this position is also eligible for commissions based on the terms of the Sales Compensation Plan

What You'll Do: The Lead Associate Principal, Linux Server Administration is responsible for overseeing the design, implementation, and optimization of enterprise-wide Linux server infrastructure with a focus on automation and containerization platforms across on-premises and cloud environments. This role provides technical leadership and strategic direction for Linux systems architecture, Ansible Automation Platform, Red Hat Satellite, OpenShift, and AWS cloud infrastructure while mentoring team members and ensuring high availability, security, and performance across all Linux systems. The position serves as the primary technical authority for complex Linux server challenges and drives innovation in infrastructure automation, cloud-native development, hybrid cloud integration, and enterprise disaster recovery solutions. Primary Duties and Responsibilities: To perform this job successfully, an individual must be able to perform each primary duty satisfactorily. * Lead the design, deployment, and maintenance of enterprise Linux server environments (RHEL, CentOS, Ubuntu, SUSE, Amazon Linux) with hands-on configuration and troubleshooting across on-premises and AWS cloud infrastructure * Plan, execute, and manage enterprise-wide Linux patching strategies including security patches, kernel updates, and critical vulnerability remediation across thousands of servers * Develop and maintain comprehensive disaster recovery (DR) plans for Linux infrastructure including RPO/RTO targets, failover procedures, and recovery testing schedules * Implement and enforce CIS (Center for Internet Security) benchmarks and security baselines across all Linux systems including automated compliance scanning, remediation, and reporting * Plan, execute, and manage RHEL operating system upgrades across enterprise environments including in-place upgrades (Leapp), migration strategies, and rollback procedures * Develop and implement infrastructure automation strategies using Ansible Automation Platform (AAP) including playbook development, workflow orchestration, and automation controller management * Manage and optimize Red Hat Satellite infrastructure for system provisioning, patch management, and content lifecycle management across the enterprise * Implement and manage automated patching workflows using Red Hat Satellite, Ansible, and AWS Systems Manager for both on-premises and cloud environments * Design, deploy, and manage AWS Linux EC2 instances including instance configuration, auto-scaling, and integration with AWS services * Create, maintain, and manage AMI (Amazon Machine Image) lifecycle including image hardening, patching, golden image development, and automated AMI pipeline creation * Implement AMI versioning strategies, testing procedures, and distribution processes across multiple AWS accounts and regions * Design and implement disaster recovery solutions including backup strategies, replication technologies, failover automation, and multi-region/multi-site architectures * Design and maintain NFS storage solutions and distributed file systems for enterprise applications * Architect, deploy, and manage OpenShift container platforms and Kubernetes environments in hybrid cloud configurations * Implement and support Red Hat Dev Spaces for cloud-native development workflows * Conduct regular DR drills and testing to validate backup and recovery procedures * Develop and maintain security hardening standards based on CIS benchmarks, STIG requirements, and organizational security policies * Manage incidents, requests, and change management processes using ITSM tools such as ServiceNow including ticket resolution, escalations, and SLA compliance * Maintain technical documentation, knowledge base articles, runbooks, and operational procedures in Confluence * Establish and enforce Linux server security standards, hardening procedures, and compliance protocols across on-premises and cloud environments * Oversee system performance monitoring, capacity planning, and optimization initiatives across all platforms * Provide escalation support for complex technical issues and lead incident response efforts * Collaborate with cross-functional teams including networking, storage, security, and application development * Drive continuous improvement initiatives and evaluate emerging Red Hat, AWS, and cloud-native technologies * Create and maintain comprehensive technical documentation, runbooks, and standard operating procedures * Participate in on-call rotation and provide 24/7 support for critical systems as needed * Lead vendor management activities and coordinate with Red Hat and AWS support Supervisory Responsibilities: * Provide technical mentorship and guidance to Linux administrators and junior team members * Lead technical training sessions and knowledge transfer initiatives on Ansible, Satellite, OpenShift, AWS, patching, and DR procedures Qualifications: The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the primary functions. * 10+ years of progressive hands-on experience in Linux/Unix system administration * 5+ years in a technical leadership or senior engineering role * Strong hands-on experience with Ansible Automation Platform (AAP) including automation controller, execution environments, and workflow development * Proven expertise in Red Hat Satellite for system lifecycle management and content management * Extensive experience planning and executing enterprise-scale Linux patching programs including change management, patch testing, and emergency patching procedures * Demonstrated experience designing and implementing disaster recovery solutions for Linux infrastructure including backup/restore, replication, and failover strategies * Demonstrated experience planning and executing RHEL OS upgrades across major versions (e.g., RHEL 7 to 8, RHEL 8 to 9) using Leapp and other upgrade methodologies * Extensive hands-on experience with AWS Linux EC2 instances, including Amazon Linux and RHEL on AWS * Demonstrated experience in AMI creation, customization, hardening, and lifecycle management * Proven track record of building automated AMI pipelines using tools such as Packer, Ansible, or AWS Image Builder * Demonstrated experience with AWS cloud services and hybrid cloud architectures * Extensive hands-on experience with OpenShift container platform and Kubernetes orchestration * Demonstrated experience implementing and managing NFS and distributed storage solutions * Working knowledge of Red Hat Dev Spaces for development environment provisioning * Proven track record of designing and implementing large-scale automated Linux infrastructure in hybrid environments * Strong understanding of DevOps principles and CI/CD methodologies * Excellent problem-solving abilities and analytical thinking skills * Outstanding communication skills with ability to explain technical concepts to non-technical stakeholders * Strong project management capabilities and ability to manage multiple priorities * Red Hat certifications (RHCE, RHCA) and/or AWS certifications (Solutions Architect, SysOps Administrator) highly preferred Technical Skills: Required Core Skills: * Advanced hands-on proficiency in Red Hat Enterprise Linux administration and troubleshooting * Extensive experience with Linux patching and patch management including: * Enterprise-scale patch deployment using Red Hat Satellite and Ansible * Patch testing and validation in non-production environments * Emergency and zero-day vulnerability patching procedures * Kernel patching strategies including live patching (kpatch) * Patch rollback and recovery procedures * Compliance reporting and audit trail maintenance * Patch scheduling and maintenance window coordination * AWS Systems Manager Patch Manager for cloud-based patching * Expert-level disaster recovery and business continuity experience including: * Backup and restore strategies (Bacula, Veeam, AWS Backup, snapshots) * Replication technologies (rsync, DRBD, storage-level replication) * Multi-site and multi-region DR architectures * RPO/RTO analysis and optimization * Failover and failback automation * DR testing and validation procedures * Disaster recovery documentation and runbooks * Cloud-based DR solutions (AWS disaster recovery services) * Extensive experience with RHEL OS upgrade processes including: * In-place upgrades using Leapp utility (RHEL 78, RHEL 89) * Pre-upgrade assessment and compatibility testing * Application compatibility validation and remediation * Upgrade automation using Ansible and Satellite * Rollback and disaster recovery planning for upgrade failures * Post-upgrade validation and system optimization * Managing kernel and package dependencies during upgrades * Expert-level experience with Ansible Automation Platform (AAP) including playbook development, roles, collections, automation controller, and execution environments * Strong expertise in Red Hat Satellite for provisioning, patch management, configuration management, and content views * Extensive hands-on experience with AWS Linux EC2 including instance management, auto-scaling groups, launch templates, and Amazon Linux/RHEL optimization * Expert-level experience with AMI creation and management including: * Building custom AMIs using Packer, AWS Image Builder, or manual processes * AMI hardening and security baseline implementation * Automated AMI patching and update workflows * AMI versioning, tagging, and lifecycle policies * Golden image development and maintenance * Cross-account and cross-region AMI sharing and distribution * AMI testing and validation procedures * Proficiency with AWS services including VPC, security groups, IAM, EBS, EFS, S3, CloudWatch, Systems Manager, AWS Backup, and AWS CLI * Extensive hands-on experience with OpenShift/Kubernetes including deployment, cluster management, CI/CD pipelines, and troubleshooting * Proficiency with NFS configuration, performance tuning, and high-availability implementations * Experience with Red Hat Dev Spaces for containerized development environments Additional Technical Skills: * Expert-level scripting capabilities (Bash, Python, Perl) * Experience with infrastructure as code tools (Terraform, CloudFormation, AWS CDK, Packer) * Experience with additional configuration management tools (Puppet, Chef, SaltStack) * Deep knowledge of containerization technologies (Docker, Podman) * Strong networking knowledge (TCP/IP, DNS, DHCP, routing, firewalls, AWS networking) * Proficiency with monitoring and logging solutions (Logic Monitor, Splunk, Nagios, Prometheus, Grafana, ELK Stack, CloudWatch) * Experience with storage technologies (SAN, LVM, GlusterFS, Ceph, EBS, EFS, filesystems) * Experience with backup solutions (Bacula, Veeam, CommVault, AWS Backup, snapshots) * Knowledge of web services (Apache, Nginx), databases (MySQL, PostgreSQL, MongoDB, RDS) * Familiarity with version control systems (Git, GitLab, GitHub, CodeCommit) * Understanding security frameworks and compliance standards (PCI-DSS, HIPAA, SOC 2, AWS Well-Architected Framework, CIS benchmarks) * Experience with GitOps practices and CI/CD pipelines * Knowledge of virtualization technologies (VMware, KVM, Xen) * Experience with high availability clustering (Pacemaker, Corosync) * Knowledge of package management (RPM, YUM, DNF) and repository management * Experience with API integrations and automation workflows Education and/or Experience: * Minimum: Bachelor's degree in computer science, Information Technology, or related field * Preferred: Master's degree in related field or equivalent combination of education and experience * 10+ years of relevant hands-on Linux system administration experience required * 3+ years of hands-on experience with Ansible Automation Platform required * 3+ years of experience with Red Hat Satellite and OpenShift preferred * 3+ years of hands-on experience with AWS Linux EC2 and cloud infrastructure required * 2+ years of hands-on experience with AMI creation, management, and automation required * Demonstrated experience executing RHEL OS upgrades across multiple major versions required * Extensive experience with enterprise Linux patching programs and disaster recovery planning required * Proven experience implementing CIS benchmarks and security hardening across Linux environments required * Working experience with ITSM tools (ServiceNow, JIRA, Confluence) for ticket management and documentation required Certificates or Licenses: * Red Hat certifications (RHCE, RHCA, Red Hat Certified Specialist in Ansible Automation, or OpenShift certifications) strongly preferred * AWS certifications (AWS Certified Solutions Architect, AWS Certified SysOps Administrator, or AWS Certified DevOps Engineer) strongly preferred * Security certifications (Security+, CISSP, or CIS certification) a plus * ITIL Foundation certification a plus About Us The Options Clearing Corporation (OCC) is the world's largest equity derivatives clearing organization. Founded in 1973, OCC is dedicated to promoting stability and market integrity by delivering clearing and settlement services for options, futures and securities lending transactions. As a Systemically Important Financial Market Utility (SIFMU), OCC operates under the jurisdiction of the U.S. Securities and Exchange Commission (SEC), the U.S. Commodity Futures Trading Commission (CFTC), and the Board of Governors of the Federal Reserve System. OCC has more than 100 clearing members and provides central counterparty (CCP) clearing and settlement services to 19 exchanges and trading platforms. More information about OCC is available at . Benefits A highly collaborative and supportive environment developed to encourage work-life balance and employee wellness. Some of these components include: • A hybrid work environment, up to 2 days per week of remote work, • Tuition Reimbursement to support your continued education, • Student Loan Repayment Assistance, • Technology Stipend allowing you to use the device of your choice to connect to our network while working remotely, • Generous PTO and Parental leave, • 401k Employer Match, • Competitive health benefits including medical, dental and vision Visit ___ for more information. Compensation • The salary range listed for any given position is exclusive of fringe benefits and potential bonuses. If hired at OCC, your final base salary compensation will be determined by factors such as skills, experience and/or education., • In addition, we believe in the importance of pay equity and consider internal equity of our current team members as part of any final offer., • We typically do not hire at the maximum of the range in order to allow for future and continued salary growth. We also offer a substantial benefits package as noted on ___, • All employees may be eligible for a discretionary bonus. Discretionary bonuses are based on various factors, including, but not limited to, company and individual performance and are not guaranteed. Salary Range $135,100.00 - $181,900.00 Incentive Range 8% to 15% This position is eligible for an annual discretionary incentive compensation award, for which the target range is listed above (see Incentive Range). The amount of such award, if any, will be based on various factors, including without limitation, both individual and company performance. Step 1 When you find a position you're interested in, click the 'Apply' button. Please complete the application andattach your resume. Step 2 You will receive an email notification to confirm that we've received your application. Step 3 If you are called in for an interview, a representative from OCC will contact you to set up a date, time, and location. For more information about ___, please click ___. OCC is an Equal Opportunity Employer

Role: Senior Data Engineer, Data Platforms (Financial Risk Focus) Location: Chicago, IL 60604 - Hybrid - onsite 3 days per week Duration: 08 Months with possibility of extension Project Overview: Lead the design, and implementation of the enterprise data ecosystem, driving the modernization and consolidation of data platforms to support business intelligence, advanced analytics, and regulatory reporting. This includes a critical focusing on the design, development, and maintenance of data warehousing solutions that support credit risk modeling. Contractor's Role: • Provide strategic vision for data architecture, platforms, and governance, translating business objectives into effective, scalable, and secure technical solutions., • Lead the end-to-end design and implementation of a scalable enterprise data ecosystem, migrating legacy systems into a modern, consolidated cloud environment., • Architect and maintain robust data warehouse structures in Snowflake to support complex credit risk models, ensuring data lineage, accuracy, and auditability for regulatory compliance., • Build and optimize high-performance ETL/ELT pipelines using Python, ensuring seamless data flow from disparate sources into the central warehouse., • Design and manage complex workflows using data orchestration tools (e.g., Airflow) to ensure high availability and reliability of data feeds., • Lead technical workshops to capture business and technical requirements, particularly those related to data warehousing solutions that support credit risk modeling., • This includes coding, testing, and deploying processes to extract, transform, and load data from various sources., • Validating data to ensure accuracy and consistency, which is crucial for reliable analysis., • Perform technical evaluations of new data technologies and features, building proof-of-concepts to validate architectural approaches., • 8+ years in Data Engineering, with a proven track record of leading large-scale data modernization or consolidation projects., • Deep experience in Snowflake architecture, including performance tuning, data sharing, and cost management., • Expert-level knowledge of SQL and dimensional data modeling techniques., • Mastery of Python for data manipulation, automation, and API integrations., • Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent professional experience., • In-depth knowledge of data architecture principles, data modeling techniques (including dimensional modeling for regulatory reporting)., • Strong communication and presentation skills, with the ability to convey complex technical concepts and strategy, including regulatory requirements related to data, to both technical and executive-level stakeholders., • Datastage ETL experience., • CI/CD pipeline deployment processes

Data Engineer Position is remote (can be in any 20 states in Great Midwest area). Wooddale, IL area is the preferred location. 3 months (Temp to Perm) The position requires 10% Travel and qualified candidates near a client's laboratory location in the Midwest states are considered. In this role, you will be responsible for designing, developing, testing, and deploying highly scalable, high performance data integration and transformation solutions in client's enterprise data platform. This role will focus on building intelligent dashboards, automating operational workflows, and leveraging data insights to enhance decision making for both internal and external customers. The ideal candidate combines technical expertise with strong self-motivated autonomy, ownership mindset and a passion for innovation through data, technology and AI. The position requires 10% Travel and qualified candidates near a client's laboratory location in the Midwest states are considered. 20 states including: Arkansas, Colorado, Illinois, Indiana, Iowa, Kansas, Kentucky, Michigan, Minnesota, Missouri, Montana, Nebraska, North Dakota, Ohio, Oklahoma, South Dakota, Utah, West Virginia, Wisconsin, Wyoming Five main laboratories (Lenexa, Wood Dale, St. Louis, Denver, and Cincinnati) Responsibilities Dashboard & Reporting Development • Support and enable the development of Business Intelligence and Data Science solutions, design, build, and maintain interactive dashboards and reports using tools (Tableau, Power BI, Alteryx, etc.) for customer performance, financial, and operational insights., • Develop algorithms and processes to transform data into useful, actionable information, • Ensure data accuracy, accessibility, and visualization consistency across platforms., • Understand requirements from operational and business teams to identify automation opportunities and streamline manual processes., • Develop and optimize digital workflows for client onboarding, approval process, and reporting using tools (such as UiPath, Power Automate, Alteryx, Sales force, or similar CRM platforms.), • Manage data pipelines and integrations between multiple systems (UiPath, CRM, ERP, Sales Force, and reporting platforms)., • Use artificial intelligence and machine learning techniques to identify emerging trends, anomalies, and patterns in customer and financial data to create actionable insights., • Provide data-driven recommendations to highlight opportunities, risks, and areas that need attention., • Collaborate with business and customer teams to translate insights into actionable strategies., • Work closely with business teams - Customer Solutions, Commercial, Billing, Finance, National teams - to understand business acumen, business needs to deliver impactful technical data & digitized solutions for internal teams and enhance external customer experience., • Take initiative in discussions in team meetings, problem discussions to seek to understand business challenges and proactively propose data-driven or automation-based solutions., • Operate with a high degree of self-motivating autonomy - don't wait for a problem to come to you, seek problems to solve by yourself., • Manage & prioritize projects independently end to end from scoping to delivery, feedback loop, ensuring timelines are met, adjust to changing priorities., • Quick agile product roll out, test, learn and continuously improve with stakeholder feedback. Qualifications Required Education: • Strong experience in functional requirements gathering via stakeholder interviewing to understand what the business needs and then translate to technical solutions timely, • 3-5 years' experience with workflow automation tools (e.g., Power Automate, Alteryx, UiPath)., • 3-5 years of experience in cloud-based data warehouses (Snowflake, Google BigQuery, Amazon Redshift, Azure Synapse Analytics, etc.), • Strong proficiency in Tableau/Power BI for dashboard creation for story telling, • Proficient in Python or R for data analysis/science and workflow automation., • Exposure to version control systems (Git, SVN), • Self-motivated and autonomous- takes ownership, stay focused, completes projects without needing much supervision, • Curiosity & analytical mind - ability to quickly adapt new technologies and learn new practice, • Collaborative, • Proactive problem solver, • Adaptable & agile, • Result oriented, • Customer focused, • Strong communication and presentation skills., • Prioritization & flexibility to business needs

Job Title: Full Stack Cloud Engineer Work Location: Open to Chicago or Tempe Work Model: Hybrid - onsite 3 days per week Duration: 8 Months with possibility of extension Project Overview / Contractor's Role: We are looking for a skilled full stack cloud engineer with deep experience in AWS, serverless computing, Data ETL pipelines, and relational databases. Experience Level: Senior - Level 3 Qualifications (must haves): 5 years of experience working on distributed architecture in AWS or another cloud provider 5+ years experience in typescript is required while Golang experience is a bonus Comfortable working in existing systems and integrating across systems such as between on premises services and the cloud Experience with Terraform or another IaC language is preferred and this person should feel comfortable working in CI/CD pipelines and with infrastructure 2+ years experience in an enterprise organization Preferred Qualifications: • Go lang experience, • Experience working on financial application, • Experience working with data visualization applications Required Technical Skills: • Typescript, • Cloud architecture, • Microservice architecture, • Serverless computing, • Relational database, • ETL pipelines Tasks & Responsibilities: • End to end ownership of the application (typescript/sql) and infrastructure code (terraform)., • Attending all design and product meetings and providing technical insight into implementation., • Navigating an enterprise organization that requires collaboration across many teams.