Company Description NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information. Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world. Job Description As an engineer on the Builder Enablement team, your mission is to make the right way the easy way. You will be a founding member of the Builder Enablement team at the intersection of architecture, engineering, and enablement - identifying common design and implementation needs across Enterprise Engineering and turn them into paved paths, clear, reusable solutions that reduce friction and accelerate time-to-value. These paved paths can take many forms depending on what works best for builders: well-crafted documentation, reference architectures, code templates, IaC modules, shared libraries, or self-service infrastructure tools. You'll choose the right medium to meet developers where they are and integrate with how they already work. You'll partner closely with architects and service owners, translating patterns and practices into concrete implementations that teams can readily adopt. Your focus is on usability and adoption, not just creating guidance, but making it the default. Where it adds value, you'll also leverage modern AI tools, such as agent-based workflows or prompt-driven interfaces, to further reduce friction and help developers design, build, and operate systems more effectively. The result: teams move faster, with less guesswork, on top of a platform that is consistent, scalable, and easy to use. Responsibilities - Identify common design and implementation needs across application engineering teams, and translate them into clear, reusable paved paths that reduce friction and accelerate delivery - Create and maintain high-quality documentation, reference architectures, and implementation guides that help engineers quickly understand how to build on enterprise platforms and services - Develop reusable artifacts such as Terraform or similar modules, code templates, and example implementations that encode best practices and provide strong starting points for new systems - Partner with enterprise platform and foundation teams to understand existing capabilities and constraints, and incorporate them into cohesive, developer-friendly patterns - Collaborate with architects to translate architectural principles and system understanding into practical guidance and working implementations - Contribute to and evolve AI-assisted developer workflows, such as agent-based tools, prompt patterns, or skill definitions, that help engineers design, scaffold, and operate systems more effectively - Evaluate and choose the right medium for enablement-whether documentation, code, templates, or AI-assisted interfaces-based on what will be most effective and adoptable for builders - Gather feedback from application teams and iterate on paved paths based on real-world usage, improving usability, clarity, and adoption over time - Help identify gaps in platform capabilities or developer experience, and work with foundation teams to influence improvements or new services where needed - Advocate for a developer-centric approach to platform adoption, ensuring that enterprise capabilities are accessible, understandable, and easy to use in practice Qualifications - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience - 6+ years of relevant experience - Strong hands-on experience building and operating production software systems, with a solid understanding of the tools, workflows, and challenges faced by application engineers - Experience working with cloud platforms (e.g., AWS, Azure, GCP) and modern infrastructure practices, including infrastructure-as-code (CFT, Terraform, Pulumi, or similar) - Demonstrated ability to create clear, practical technical guidance-such as documentation, examples, or templates-that other engineers successfully adopt - Experience translating complex systems or platform capabilities into usable patterns and abstractions for other developers - Familiarity with developer workflows and tooling (CI/CD, local development, deployment patterns) and how to improve them - Ability to collaborate effectively across teams, particularly with platform, infrastructure, and application engineers - Strong communication skills, with the ability to meet developers where they are and present solutions in a way that is approachable and actionable - A pragmatic mindset, with a focus on usability, adoption, and real-world effectiveness over theoretical elegance Desired Characteristics: - Experience in platform engineering, developer experience (DX), or internal tooling roles focused on enabling other engineers - Experience creating and maintaining IaC modules, code templates, or reference implementations used across multiple teams - Comfort working across multiple abstraction layers-from infrastructure to application architecture-and understanding how they connect - Experience using or building AI-assisted development workflows, such as prompt engineering, agent-based tooling, or internal developer assistants - A strong sense for when to write documentation vs. build tooling vs. provide examples, and how to combine them effectively - Experience working in large, federated organizations, where different teams own different parts of the stack - Curiosity and a bias toward simplifying complex systems and reducing cognitive load for other engineers - Ability to gather feedback, observe developer behavior, and continuously improve solutions based on how they are actually used Additional Requirements: - Fully Remote: This position has been designated as fully remote, meaning that the position is expected to contribute from a non-NBCUniversal worksite, most commonly an employee's residence. This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. Salary range: $140,000 - $165,000 (bonus eligible) We are accepting applications for this position on an ongoing basis. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access nbcunicareers.com as a result of your disability. You can request reasonable accommodations by emailing AccessibilitySupport@nbcuni.com. For LA County and City Residents Only: NBCUniversal will consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative For Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable.

Role Description I have an opportunity for a "IBM Z Technical Specialist - Mainframe Storage Engineer - 100% REMOTE" and I am looking for a candidate who can join immediately. If you are interested, reply to me with your updated resume or if you could refer someone I would really appreciate it. Position: IBM Z Technical Specialist - Mainframe Storage Engineer Location: (100% Remote) Duration: 12 Months Contract - DASD - Rexx - IBM Mainframe - SAS - SAN - RMF Company Description NAVTECH INC - Phone: (224) 348-1340 - Email: Alex@navtechusa.com - Address: 1600 Golf Road, Suite 1200, Rolling Meadows, IL 60008 - Website: www.Navtechusa.com - E-Verified Company

Role Description Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: STEM Computational Scientific Software & Evaluation Design - Structural & Mechanical Engineering Type: Contract Compensation: $70–$100/hour Location: Remote Commitment: 15–20 hours/week Role Responsibilities - Design graduate-level computational problems using domain-specific scientific software libraries. - Develop problems requiring strategic reasoning to uncover hidden information through queries or experiments. - Calibrate tasks against state-of-the-art AI models and refine designs to achieve target difficulty. - Utilize scikit-fem or similar finite element libraries for tasks in Structural & Mechanical Engineering. - Work independently in a Linux/terminal environment with remote compute sandboxes. - Collaborate asynchronously to improve AI model performance and problem-solving strategies. Qualifications - Graduate-level training in a relevant STEM domain (MS, PhD, or equivalent research experience). - Proficiency with at least one listed scientific software library. - Strong Python programming skills. - Ability to work independently and iterate on problem designs. - Comfortable in a Linux/terminal environment. Requirements - Experience across multiple listed domains or tools. - Familiarity with benchmark or evaluation design. - Background in scientific pedagogy or exam/problem-set design. - Experience with computational reproducibility and containerized environments. Application Process - Upload resume - AI interview based on your resume - Submit form Resources & Support - For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome - For any help or support, reach out to: support@mercor.com - Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Role Description The application window is expected to close on: 07/22/2026. Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. As a Distinguished Engineer at Splunk, you will be part of the AgenticOps and AI Engineering Transformation team, focused on making AI a practical, governed part of real security, observability, and operational workflows. You will work with a lean, senior, cross-functional group spanning: - Engineering - Product - Architecture - AI - Security - Observability - Platform - Cisco-connected experiences Your impact will include: - Defining the technical direction for AgenticOps foundations across Splunk’s unified security and observability portfolio. - Shaping governed AI workflows that utilize telemetry, topology, identity, ownership, risk, network context, and product knowledge. - Partnering with product and engineering leaders to identify high-value product wedges, guide prototypes, clarify architectural tradeoffs, and move ideas into shippable capabilities. - Developing reusable platform patterns for MCP/tool access, evidence chains, permissions, audit-ability, approvals, policy enforcement, evaluation, and safe action. - Driving AI-assisted engineering transformation across planning, coding, review, testing, release readiness, support, incident learning, and operations. Qualifications - Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field, or equivalent practical experience. - 15+ years of experience building, leading, or architecting large-scale software systems used by enterprise customers. - Experience designing or operating data-intensive, distributed, AI-assisted, agentic, or operational software systems. - Production software engineering experience, including writing or reviewing production-quality code. - Experience defining architecture for platform capabilities such as workflow orchestration, tool access, permissions, audit logs, approvals, policy enforcement, or safe automation. - Experience delivering technical direction that changes how multiple engineering teams build, test, support, operate, evaluate, or ship software. Requirements - Experience with AI-assisted development, agentic workflows, LLM application architecture, AI evaluation, prompt/tool orchestration, or human-in-the-loop systems. - Experience with telemetry, observability, security analytics, time-series systems, event processing, or data platforms. - Experience with graph systems, entity identity, semantic layers, topology, temporal modeling, or operational context modeling. - Experience building products for cloud, hybrid, and customer-managed deployment environments. - Ability to influence across engineering, product, architecture, field, executive, and customer-facing teams while mentoring senior engineers through ambiguous technical decisions. Benefits - Medical, dental, and vision insurance. - 401(k) plan with a Cisco matching contribution. - Paid parental leave. - Short and long-term disability coverage. - Basic life insurance. - 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees. - 1 paid day off for employee’s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness. - 16 days of paid vacation time per full calendar year for non-exempt employees. - Flexible vacation time off program for exempt employees. - 80 hours of sick time off provided on hire date and each January 1st thereafter. - Optional 10 paid days per full calendar year to volunteer.