Requirements engineer jobs in Millcreek, PA - 5,020 jobs

Who We Are Propy is revolutionizing the real estate industry by building the world's first AI-powered Title and Escrow platform onchain. We have processed over $5B in transactions, and we are on a mission to make closing on a home as easy as buying a stock. We combine blockchain for security with advanced AI to automate the heavy lifting of closing documents. We aren't just "using" AI; we are building the infrastructure that allows AI agents to securely manage escrow, eliminate fraud, and run 24/7. The Role We are looking for a pragmatic Applied AI Engineer to join our engineering team. The role is not about training models and does not involve academic Machine Learning research. It is about building the rails that make AI usable in a high-stakes financial environment. You will bridge the gap between our robust C#/.NET architecture and the probabilistic world of LLMs. The Challenge Title and Escrow is a document-heavy industry with zero room for error. Your mission is to use AI to clean up the messiness of real-world real estate data. You will solve problems like: Structured Data Extraction: Converting messy, unstructured data (like emails, PDFs, documents) from various sources into strictly validated JSON schemas with as close to 100% accuracy as possible. Escrow Automation: Designing workflows that reduce human intervention by 50% by intelligently routing tasks based on AI analysis. Fraud Detection: Implementing deterministic logic checks on bank and financial documents to detect fraud patterns before they happen. What You'll Do Engineer the Integration: Writing production-grade code that interacts with external AI APIs "Prompt Engineering" as Code: You won't just write prompts; you will version, test, and optimize them. You will define strict schemas to ensure the AI speaks the language of our internal tools. Orchestrate & Validate: Help in building the logic that parses AI responses, validates them against our database (MongoDB), and flags inconsistencies before they reach the user. Full-Stack Implementation: Work to visualize AI-aided services and data for user review and approval. Collaborate: Work closely with the other senior engineers and product owners to translate complex "Title & Escrow" schemas into technical constraints that an AI can understand. What You'll Bring Developer DNA: You are a software engineer first. You have strong experience in Python (C# / .NET is an advantage) and understand programming in depth. Applied AI Experience: You have integrated LLMs into applications via API. Have experience with not only models but also AI frameworks. Experience with workflows, AI agent building and orchestration. You understand context windows, token limits, temperature, and guardrails. Data Handling: Experience with handling complex data structures. The "Glue" Mindset: You enjoy writing the code that connects different services ( like the AWS, AI APIs, and Database) to make a seamless features. Collaborative Autonomy: You will own the AI domain, but you won't be on an island. You will be embedded in a senior engineering team that supports you with architecture, code reviews, and best practices. Nice to Have Experience with AWS infrastructure. Familiarity with the US Real Estate, Title, or Escrow process. What We Offer Working in a transparent environment which focuses on solving problems and getting things done. The opportunity to work with very smart and driven people. The ability to grow your talents and career in a high-growth sector. A remuneration package that is based on the candidate's motivation, skills, and experience. How to Apply Please submit your resume to this job ad along with a portfolio of your AI-related experience, GitHub account and anything else you find applicable.

AirOps helps brands get found and stay found in the AI era. As the first end-to-end content engineering platform, we give marketing teams the systems to win visibility across traditional and AI search with one durable advantage: quality. Thousands of marketers use AirOps to see how their brand shows up across the new discovery landscape, prioritize the highest-impact opportunities, and create accurate, on-brand content that earns citations from AI platforms and trust from humans. We are building the platform and profession that will equip a million marketers to lead the next chapter of marketing, where creativity and intelligent systems work together and quality becomes the strategy that lasts. AirOps is backed by Greylock, Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, Alt Capital, and more than a dozen top marketing leaders, with hubs in San Francisco, New York, and Montevideo. We're hiring a Content Engineer to help define and lead one of the most important new roles in modern marketing. This is not a traditional SEO or content position. It's an opportunity to join the company that redefined Content Engineering. Think about how product management, growth, and DevOps emerged as new categories. Content Engineering is at that same inflection point. In 2026, Content Engineering becomes the most important role inside the modern B2B marketing org - a blend of organic growth strategy, frontier research, and precise workflow execution. Joining AirOps means stepping into that shift early and influencing how brands grow visibility and quality across every search surface. In this role, you will: Combine search best-practices, automation, and AI to build workflows that power AirOps' brand engine. Execute a high-velocity, high-quality AI Search roadmap and strengthen AirOps' brand visibility. Build structured content systems and workflows that make publishing faster and more higher quality. Contribute insights, architecture work, and structured publishing improvements that drive smarter content decisions. Champion the role Produce public-facing examples that demonstrate best-in-class content engineering. Your north star: Set the standard for what a 10x Content Engineer can achieve, building the systems, workflows, and technical foundations that make AirOps the model for the next generation of content teams. Responsibilities Content Strategy and Alignment Use Page360, audits, and performance data to guide content priorities and structured publishing improvements. Deliver measurable improvements across rankings, AEO citations, structured extractability, and adoption of AirOps workflows. Workflow Engineering, AI Automation, and Systems Build workflows in AirOps for briefs, refresh cycles, publishing, and structured outputs, supported by templates and repeatable processes. Create best-in-class human-in-the-loop workflows that improve content operations, and break new ground for our product team. Execution and Technical Architecture Execute on-page optimization and publish content in the CMS, conduct technical audits, and implement structured content updates. Lead keyword and topic research while supporting site architecture improvements, schema strategy, structured data deployment, and SEO architecture work. Reporting, Insights, and Performance Build dashboards that track rankings, visibility, AEO performance, search behavior, and workflow impact, supported by recurring reporting and insights. Partner with content, brand, product, design, and search teams while monitoring search behavior, content decay, and overall performance trends. Qualifications 5+ years experience in SEO execution, technical SEO, or content operations. AirOps experience is a standout advantage. Huge points if you're already a power user, cohort grad, or have built workflows inside AirOps. Strong knowledge of SEO best practices, technical fundamentals, structured content, and schema. Skilled in SEO reporting, keyword research, site audits, dashboard creation, and data interpretation. Experience publishing and optimizing content in CMS platforms such as Webflow, WordPress, or HubSpot. Proficient with tools such as Ahrefs, SEMrush, Moz, Screaming Frog, Google Search Console, GA4, and Looker. Experience with workflow building, AI prompting, and automation tools such as Zapier, Make, and Clay. Strong communicator comfortable working across brand, content, search, design, and product teams. Organized, detail-oriented operator who thrives in repeatable systems and fast-moving environments. Our Guiding Principles Extreme Ownership Quality Curiosity and Play Make Our Customers Heroes Respectful Candor Benefits Equity in a fast-growing startup Competitive benefits package tailored to your location Flexible time off policy Parental Leave A fun-loving and (just a bit) nerdy team that loves to move fast!

About the Role We are a stealth U.S. startup building a high-impact software platform that will redefine operations within our target industry. We are searching for a Founding Engineer who has previously built and shipped full software products, someone who can take ownership, work closely with the CEO, and help craft the product from the ground up. You will be building a platform that must be secure, fast, reliable, and scalable. Your work will shape the foundation of the company. Responsibilities Build the MVP quickly while maintaining clean, modern architecture Write production-level frontend, backend, and database code Implement platform security, authentication, and data protection Collaborate closely with the CEO on product decisions and sprint priorities Build internal tools, dashboards, and new features at startup speed Help shape engineering culture from day one Requirements Experience building software from end-to-end (solo or as a lead) Strong knowledge of React/Next.js, Typescript, Node.js, PostgreSQL or similar Ability to architect secure systems with best practices Entrepreneurial mindset, comfortable iterating quickly Open to equity-only compensation during initial phase Compensation Competitive founding-team equity Equity-only in the early phase Remote Path to salary after funding If this role resonates with you and you have built full products before, please apply. I review every application personally and would love to explore whether this could be a strong fit.

Must be available to travel to the Rochester Campus until the Buffalo Campus becomes operational. The Learning Engineer plays a critical role in advancing the mission of Golisano Institute for Business & Entrepreneurship by supporting faculty in the design and implementation of innovative, data-driven learning experiences and integrated technology solutions that enhance teaching outcomes and operational effectiveness. This role requires strong collaboration across academic and technology teams and the ability to thrive in a fast-paced, learner-centered environment. Golisano Institute is deeply committed to fostering a culture of diversity, equity, inclusion, and belonging. We value individuals who bring varied lived experiences, perspectives, and identities, and who contribute to an inclusive environment where all members of our community feel respected, supported, and empowered to succeed. The Learning Engineer is expected to uphold these values in daily work, interactions, and decision-making. MAJOR RESPONSIBILITIES Technology design, development, and support Assist faculty in the development of their course materials with initial template course design and build support. Participate in thought leadership with respect to the current tech landscape at the Golisano Institute. Recommend new technologies that would optimize the learning experience in the future. Provide expertise in the administration of the various tools in use at the institute. Provide technical expertise with respect to the administration of learning technology including, but not limited to the LMS and educational technologies deployed in the classroom. Appropriately document common use cases for technology at the institute. Course Design, Development, and Instruction Development of innovative course content Design, document, and implement technical course content according to course outlines Responsible for the primary instruction of 1 course per quarter, as determined by the needs of Academic Affairs. Periodic instruction is a vital experience for this role. Administrative Partnerships Work in collaboration with the academic affairs leadership and the information technology leadership teams to understand the vision for instruction within the Golisano Institute and create recommendations for faculty to carry out that vision. Provide occasional data analysis and support to the institutional decision-making process. Community and Professional Development Attend and participate in required meetings, and other duties as determined. Represent the College with matters related to learning and teaching, in collaboration with Academic Affairs and other departments. Demonstrate active professional development for the advancement of the above duties. EXPERIENCE The ideal candidate will have a minimum 5 years of experience providing t echnology suppor t and development. Experience administering or providing recommendations on the administration of various learning technologies; familiarity with Canvas LMS is desired, as is willingness to learn T1V/ThinkHub collaborative software. Facility with Office 365 and Teams is desirable, or the ability to quickly learn it well enough to instruct others. Experience creating technical documentation Experience as an instructor (including K-12 education, postsecondary education, and/or innovative corporate training) Experience developing information technology solutions for educational institutions EXCEPTIONAL SKILLS / BEHAVIORAL COMPETENCIES Believes in the Institute's student-centered mission and practices of providing exceptional education Demonstrated knowledge of the current scholarship of teaching and learning, including experiential, integrative, and inclusive learning principles and strategies Effective collaborator Serve as a role model for how we teach and what we value Demonstrate emotional intelligence, contributing to a culture of belonging and trust Supportive and self-motivated team player Effective communicator Innovative and Goal-oriented; willingness to take risks and support others in doing so Creative problem solving and willingness to be a continuous learner to keep what is working and improve what is not Ability to approach “problems” as opportunities; leverage current strengths to overcome challenges Willingness to work within a fluid, emerging start-up organizational environment

Vaco is hiring a Machine Learning / AI Engineer for a direct hire, hybrid role North of the greater Cincinnati area. This position offers the opportunity to work on impactful, real-world AI solutions within a logistics-focused environment, collaborating closely with cross-functional teams to drive efficiency and innovation. What You'll Do Design, train, and deploy machine learning models supporting demand forecasting, routing optimization, and network efficiency Integrate AI and ML solutions with existing logistics platforms, sensors, and data pipelines Partner with cross-functional teams to translate business challenges into scalable, production-ready solutions Build and maintain data processing, feature engineering, and model evaluation pipelines using modern ML frameworks Monitor model performance, retrain systems, and drive continuous improvement through feedback loops Ensure AI systems adhere to enterprise standards for security, scalability, and data governance Stay current on advancements in machine learning, optimization algorithms, and generative AI relevant to logistics and operations What You'll Bring Bachelor's degree in Computer Science, Software Engineering, IT, or equivalent practical experience 5+ years of experience in ML/AI-focused roles with strong foundations in statistical learning Deep expertise in Generative AI, NLP, and simulation techniques applied to operational or logistics challenges Proficiency in Python and common ML frameworks (TensorFlow, PyTorch, Scikit-learn) Experience with data engineering tools and platforms such as SQL, Spark, Databricks, and Airflow Familiarity with cloud environments (AWS or Azure) and MLOps practices for model deployment and monitoring Strong ability to analyze large, complex datasets to uncover actionable insights and automation opportunities Proven problem-solving skills with an emphasis on scalability and real-world application Hands-on experience applying statistics, data validation, and machine learning algorithms in production environments Experience with MLOps and DevOps practices to deploy, monitor, and maintain ML solutions Why This Role Direct-hire opportunity with a stable, forward-thinking organization Hybrid work environment offering flexibility High-impact role focused on applied AI and operational optimization Desired Skills and Experience AI, ML, Machine Learning, Artificial Intelligence, AI/ML, Natural language processing, NLP, Python, AWS, Cloud, Azure, Amazon Web Services, SQL, Spark, Databricks, Airflow, MLOps, TensorFlow, PyTorch, Scikit-learn, Generative AI, Data, AI/ML Engineer, AI Engineer, ML Engineer, statistics, data validation, machine learning algorithm, validating data, stats

PLEASE EMAIL ************************** with your resume & cover letter - Do not apply via LinkedIn. -- We're hiring a Founding Engineer as the third full-time member of the team. This is a hands-on 0→1 role focused on building our rental e-commerce platform, core operational tools, and Shopify integrations. You'll work directly with the founders to architect the system, ship products quickly, and lay the groundwork for a scalable rental and reverse logistics engine. About Isle of Monday Isle of Monday is a NYC-based fashion-tech company making luxury and rare vintage accessible through a rental model. Early traction includes: 25,000+ waitlist members Viral social reach (3M organic Instagram views, ~25k organic followers across social channels) Strong supplier pipeline with exclusive inventory We recently launched our tech-enabled platform on December 1, 2025. What You'll Build Core e-commerce platform built on Shopify (custom apps, APIs, theme/headless architecture) Rental workflows: availability, reservations, deposits, fees, returns Real-time single-SKU inventory and reverse logistics systems (cleaning, repairs, restock, shipping) Operational dashboards and internal tools Integrations with logistics, shipping, and fulfillment partners Automated consignor payout system Core data foundation (tracking, analytics, performance) Technical stack, infrastructure, and early engineering standards This is an IC-heavy role - you'll be designing and building daily. What We're Looking For US Work Authorization Applicants must be authorized to work in the United States. We are unable to provide visa sponsorship at this time. 4-8+ years of full-stack engineering experience Required: deep Shopify experience, including: Custom app development (Admin, Storefront, Checkout Extensibility) API integrations + theme/headless builds Logistics/fulfillment integrations Ability to extend Shopify for non-standard flows (rentals, deposits, multi-step checkout) Strong experience building 0→1 systems and shipping quickly Experience with modern frameworks (Next.js/React) Experience with cloud infrastructure (AWS/GCP) Experience with logistics, inventory, or operational systems is a plus Strong interest in Fashion Tech, specifically circular retail business models Product & Founder Fit Comfortable with ambiguity and fast iteration Able to translate business needs into scoped technical plans High ownership - prefers action over theory Clear communicator with non-technical stakeholders Highly responsive and reliable Team & Funding Gabriella Carota, Co-Founder & CEO - Finance background (EY), 10+ years in vintage resale Janelle Gray, Co-Founder & CMO - Former Big Tech marketer Backed by early investors Location: New York City (in-office, flexible hours) Apply: ************************** | please send resume & cover letter

About This Role. BlackRock is seeking a Director, AI Deployment Engineer to lead the deployment and continuous improvement of artificial intelligence capabilities across Business Operations within the Technology & Operations organization. This role f Director, Engineer, AI, Business Operations, Continuous Improvement, Technology

BS Degree in ME. Minimum of 6 plus years of industry experience as CAE analyst and specific solver software usage depending on department specialty area. Minimum of 5 years of experience with LS-DYNA using pre-processor / post-processor tools (ANSA and Meta-Post) for complex vehicle system level CAE model construction, visualization, and analysis. Related advanced degree may be substituted for 2 years of experience. Job Description Details: Prepare and perform crash safety-related impact simulations using LS-DYNA. Evaluate the results of the simulations through careful analysis of crash simulations. Measure these simulations against the target automobile performance criteria based on advanced safety standards such as the New Car Assessment Program and Insurance Institute for Highway Safety criteria in addition to Honda's internal safety standards. Determine the appropriate countermeasures to meet the criteria if simulation outcomes are below target performance. Communicate any recommendations to the appropriate Engineering teams with Honda. Create detailed engineering documentation of simulation analysis by generating written reports and working with design and test engineers

About Beauty by Imagination: Beauty by Imagination is a global haircare company dedicated to boosting self-confidence with imaginative solutions for every hair moment. We are a platform company of diverse, market-leading brands, including Wet Brush, Goody, Bio Ionic, and Ouidad - all of which are driven to be the most trusted choice for happy, healthy hair. Our talented team is passionate about delivering high-performing products for consumers and salon professionals alike. Position Overview: We are looking for a skilled Data Engineer to design, build, and maintain our enterprise Data Warehouse (DWH) and analytics ecosystem - with a growing focus on enabling AI-driven insights, automation, and enterprise-grade AI usage. In this role, you will architect scalable pipelines, improve data quality and reliability, and help lay the foundational data structures that power tools like Microsoft Copilot, Copilot for Power BI, and AI-assisted analytics across the business. You'll collaborate with business stakeholders, analysts, and IT teams to modernize our data environment, integrate complex data sources, and support advanced analytics initiatives. Your work will directly influence decision-making, enterprise reporting, and next-generation AI capabilities built on top of our Data Warehouse. Key Responsibilities Design, develop, and maintain Data Warehouse architecture, including ETL/ELT pipelines, staging layers, and data marts. Build and manage ETL workflows using SQL Server Integration Services (SSIS) and other data integration tools. Integrate and transform data from multiple systems, including ERP platforms such as NetSuite. Develop and optimize SQL scripts, stored procedures, and data transformations for performance and scalability. Support and enhance Power BI dashboards and other BI/reporting systems. Implement data quality checks, automation, and process monitoring. Collaborate with business and analytics teams to translate requirements into scalable data solutions. Contribute to data governance, standardization, and documentation practices. Support emerging AI initiatives by ensuring model-ready data quality, accessibility, and semantic alignment with Copilot and other AI tools. Required Qualifications Proven experience with Data Warehouse design and development (ETL/ELT, star schema, SCD, staging, data marts). Hands-on experience with SSIS (SQL Server Integration Services) for building and managing ETL workflows. Strong SQL skills and experience with Microsoft SQL Server. Proficiency in Power BI or other BI tools (Tableau, Looker, Qlik). Understanding of data modeling, performance optimization, and relational database design. Familiarity with Python, Airflow, or Azure Data Factory for data orchestration and automation. Excellent analytical and communication skills. Preferred Qualifications Experience with cloud data platforms (Azure, AWS, or GCP). Understanding of data security, governance, and compliance (GDPR, SOC2). Experience with API integrations and real-time data ingestion. Background in finance, supply chain, or e-commerce analytics. Experience with NetSuite ERP or other ERP systems (SAP, Oracle, Dynamics, etc.). AI Focused Preferred Skills: Experience implementing AI-driven analytics or automation inside Data Warehouses. Hands-on experience using Microsoft Copilot, Copilot for Power BI, or Copilot Studio to accelerate SQL, DAX, data modeling, documentation, or insights. Familiarity with building RAG (Retrieval-Augmented Generation) or AI-assisted query patterns using SQL Server, Synapse, or Azure SQL. Understanding of how LLMs interact with enterprise data, including grounding, semantic models, and data security considerations (Purview, RBAC). Experience using AI tools to optimize ETL/ELT workflows, generate SQL scripts, or streamline data mapping/design. Exposure to AI-driven data quality monitoring, anomaly detection, or pipeline validation tools. Experience with Microsoft Fabric, semantic models, or ML-integrated analytics environments. Soft Skills Strong analytical and problem-solving mindset. Ability to communicate complex technical concepts to business stakeholders. Detail-oriented, organized, and self-motivated. Collaborative team player with a growth mindset. Impact You will play a key role in shaping the company's modern data infrastructure - building scalable pipelines, enabling advanced analytics, and empowering the organization to safely and effectively adopt AI-powered insights across all business functions. Our Tech Stack SQL Server, SSIS, Azure Synapse Python, Airflow, Azure Data Factory Power BI, NetSuite ERP, REST APIs CI/CD (Azure DevOps, GitHub) What We Offer Location: New York, NY (Hybrid work model) Employment Type: Full-time Compensation: Competitive salary based on experience Benefits: Health insurance, 401(k), paid time off Opportunities for professional growth and participation in enterprise AI modernization initiatives

Our client is seeking a SDET - Playwright to join their team! This position is located in Columbus, Ohio. Develop, maintain, and execute automated tests using Playwright (TypeScript/JavaScript) Build reusable test libraries and utilities, including authentication, pagination, idempotency, rate limiting, and error handling Define and execute test strategies across unit, integration, contract, and end-to-end test layers Create robust negative, edge-case, and resilience tests Apply mocking strategies where appropriate Manage test data and environments, including fixtures, seeding, and synthetic data, to ensure deterministic and reliable test runs Integrate automated test suites into CI/CD pipelines (GitHub Actions, Azure DevOps), ensuring fast, stable, and gated deployments Participate in design and code reviews, advocating for testability, automation best practices, and overall quality Document test frameworks, patterns, and runbooks; clearly communicate testing outcomes and recommendations to engineering teams Collaborate cross-functionally with QA, engineering, and product teams to support successful delivery Desired Skills/Experience: 3+ years of experience as an SDET or QA Automation Engineer with a strong focus on Playwright Hands-on experience with Playwright using TypeScript/JavaScript, or similar automation frameworks Experience testing POS systems or complex transactional platforms is preferred Proven experience configuring CI/CD pipelines, test reporting, and gating on failures or coverage thresholds Familiarity with mocking frameworks and test data management strategies Strong debugging skills across logs, traces, and network traffic; comfort using CLI tools such as curl Excellent written and verbal communication skills with a collaborative, team-first mindset Benefits: Medical, Dental, & Vision Insurance Plans Employee-Owned Profit Sharing (ESOP) 401K offered The approximate pay range for this position starting at $150,000. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.

A financial technology company in San Francisco is seeking a Staff Machine Learning Engineer to lead the development of sophisticated AI and ML systems. You will be responsible for designing robust frameworks, implementing new product features, and mentoring team members. The ideal candidate should have over 8 years of experience and expertise in Python and machine learning. The role offers competitive pay and various benefits, including health plans and unlimited PTO. #J-18808-Ljbffr

LeadStack Inc. is an award winning, one of the nation's fastest growing, certified minority owned (MBE) staffing services provider of contingent workforce. As a recognized industry leader in contingent workforce solutions and Certified as a Great Place to Work, we're proud to partner with some of the most admired Fortune 500 brands in the world. Job Title: Senior Azure Data Engineer Level 3 (W2 only) Location: Remote, EST working zones Job Duration: 6 Month(s) Pay rate:$60/hr - $81.42/hr on W2 Top 3 Must-Haves: Azure Cloud Experience - Must have Data Bricks Pyspark, Python Other Key Skills: Object-oriented programming, Terraform, passion for data engineering career path Project Context: Supply chain (inventory management); retail/grocery experience a strong plus Role Overview Seeking a Senior Data Engineer for a dynamic supply chain team. Lead development of data pipelines and orchestration, resolve production issues, mentor juniors, and maintain code quality while working across multiple initiatives in a shared services environment. Key Responsibilities Develop PySpark transformations for varied formats (Avro, JSON, CSV); implement Terraform scripting and DevOps processes. Lead initiatives with FTR (First Time Right), own delivery, and enforce code quality via reviews, unit testing, CI/CD, and standards. Reduce technical debt/vulnerabilities; mentor team members for collaboration and innovation. Collaborate with product, cloud security, LOB, network security, and DevOps teams. Troubleshoot issues, document systems/code, and communicate progress to stakeholders. [ from prior context] Required Skills Core Technical: Azure, Databricks, PySpark, Python, OOP concepts, Delta Share, Terraform, GitHub Actions (CI/CD), Agile/Scrum. Experience: 7+ years as Senior Data Engineer leading high-quality data solutions. Nice-to-Haves Python unit testing Unity Catalog Databricks Asset Bundles Unit testing/mocking know more about current opportunities at LeadStack , please visit us on ********************************* Should you have any questions, feel free to call me on ************* or send an email on *****************************

A modern financial technology company is seeking a Staff Applied AI and Machine Learning Engineer in Seattle. You will lead the development of machine learning models to enhance risk management within a primarily payments-focused environment. Ideal candidates have over 8 years of experience in data science, expertise in statistical analysis, and strong programming skills in Python or R. This role requires effective communication and collaboration across diverse teams, offering an opportunity to make a significant impact on product development. #J-18808-Ljbffr

The team is seeking a Data Engineer experienced in implementing modern data solutions in Azure, with strong hands-on skills in Databricks, Spark, Python, and cloud-based DataOps practices. The Data Engineer will analyze, design, and develop data products, pipelines, and information architecture deliverables, focusing on data as an enterprise asset. This role also supports cloud infrastructure automation and CI/CD using Terraform, GitHub, and GitHub Actions to deliver scalable, reliable, and secure data solutions. Requirements • 5+ years of experience as a Data Engineer • Hands-on experience with Azure Databricks, Spark, and Python • Experience with Delta Live Tables (DLT) or Databricks SQL • Strong SQL and database background • Experience with Azure Functions, messaging services, or orchestration tools • Familiarity with data governance, lineage, or cataloging tools (e.g., Purview, Unity Catalog) • Experience monitoring and optimizing Databricks clusters or workflows • Experience working with Azure cloud data services and understanding how they integrate with Databricks and enterprise data platforms • Experience with Terraform for cloud infrastructure provisioning • Experience with GitHub and GitHub Actions for version control and CI/CD automation • Strong understanding of distributed computing concepts (partitions, joins, shuffles, cluster behavior) • Familiarity with SDLC and modern engineering practices • Ability to balance multiple priorities, work independently, and stay organized

Job Title: Software Defined Vehicle (SDV) Consultant Employment Type: Full-Time We are looking for an experienced Software Defined Vehicle (SDV) Consultant to support the development and maintenance of a secure, scalable vehicle software toolchain. This role involves close collaboration with IT and engineering teams, focusing on DevOps, CI/CD, cybersecurity, and automotive software systems. Key Responsibilities Design, implement, and maintain vehicle software development toolchains Support on-premise server infrastructure and CI/CD pipelines Integrate DevSecOps and cybersecurity best practices Support OTA infrastructure and embedded operating systems Create architecture diagrams and support Agile development Ensure compliance with ASPICE and ISO 26262 (ASIL-B) standards Required Skills Strong experience in software development, DevOps, and CI/CD Knowledge of Linux (Ubuntu), Windows, and RTOS Hands-on experience with Docker and containerized platforms Understanding of vehicle architecture, integrated controls, and functional safety Familiarity with Agile methodologies Preferred Skills Cloud platforms (AWS, Azure, GCP) Automotive protocols (CAN, LIN, Ethernet) Experience in hybrid or cloud-based automotive environments

Mini-Circuits designs, manufactures and distributes integrated circuits, modules, and sub-systems for high-performance radio frequency (RF) and microwave applications. With design, sales, and manufacturing locations in over 30 countries, Mini-Circuits' products are used in a range of wired and wireless communications applications. Our products are also used in detection, measurement, and imaging applications, including military communication, guidance, and electronic countermeasure systems, commercial, scientific, military land, sea, and aircraft; automotive systems, medical systems, and industrial test equipment. Mini-Circuits sells its products to over 20,000 customers globally through our direct sales force, applications engineering staff, and sales representatives, as well as through our extensive website. Position Summary Design, validate, and scale automated production test systems and robotic device handlers for RF and Microwave components. This role is responsible for enabling standardized architectures, throughput improvement, global alignment, and long-term scalability of automated test processes. Salary Range $100,000 - $125,000 per year Job Function Define, design, and validate standardized robotic test handlers, adaptable across multiple RF product lines. Drive new handler integrations and improvements, document FPY, OEE, and operator experience metrics. Collaborate with global teams (Brooklyn, Florida, India, Malaysia) to ensure alignment, backup-site readiness, and standardized deployment. System Design & Development Analyze test and assembly processes to identify candidates for automation based on capacity, efficiency, and process control needs. Develop scalable, modular designs for automated handlers, including mechanical, electrical, vision, and control systems. Specify and integrate sensors (vision, position, presence), robotic arms, conveyors, and fixturing for precision RF component handling. Incorporate RF test-specific requirements (grounding, thermal, high-frequency probing, shielding). Prepare proposals, resource/budget estimates, and project plans for new automation initiatives. Lead cross-functional reviews and maintain stakeholder communication from concept to qualification. Manage vendor engagement, procurement, build, and qualification of handler systems. Documentation & Training Create system specifications, qualification/buy-off plans, operation and maintenance procedures. Train users and support personnel on deployed automation platforms. Drive continuous improvement in throughput, FPY, reliability, and maintainability. Track and implement engineering changes and upgrades into future designs. Stay current with emerging automation technologies (vision, robotics, motion systems, AI-driven inspection) and evaluate for Mini-Circuits applications. Qualifications BS/MS degree in Mechanical, Electrical, Mechatronics, or Control Systems Engineering. Minimum 5 years of relevant experience. Experience with robotic systems, automated handlers, or precision motion/vision-based automation. Familiarity with high-mix/low-to-medium volume manufacturing environments. Controls programming experience (PLC, microcontrollers in C/C++, or equivalent). Data collection and analysis skills (Excel, JMP, Python). Preferred Knowledge Experience with automated inspection systems (AOI, Keyence, Cognex vision). Knowledge of RF test process requirements and challenges. Conveyor/robot integration, pneumatic actuators, precision fixturing. Understanding of Lean Manufacturing, OEE analysis, and ROI calculations. Exposure to manufacturing ERP and PLM systems (SAP, Arena PLM, etc.). Skills Strong communication and documentation skills. Ability to lead cross-functional teams and vendor collaborations. Capable of balancing hands‑on design/build/debug with strategic project leadership. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to talk and hear. The employee frequently is required to stand, walk, sit and use hands to operate a computer keyboard. The employee is occasionally required to reach with hands and arms. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, and ability to adjust focus. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Additional Requirements/Skills Must be a US citizen or US permanent resident Ability and willingness to abide by Company's Code of Conduct Occasional travel, some overnight, as required Benefits Comprehensive Medical, Dental, and Vision plans 401(K) and Profit‑Sharing Programs Disability Insurance Life Insurance Employer‑Sponsored Wellness Plans Hospital & Accident Indemnity Insurance Employee Benefit Advocate & Employee Assistance Program ul> Disclaimer: The listed qualifications and requirements for each position are intended as guidelines. Mini-Circuits reserves the right to hire outside of these guidelines at Management's discretion. Mini-Circuits is an Equal Opportunity Employer and does not discriminate on the basis of actual or perceived age, race, creed, color, national origin, sexual orientation, military status, sex, disability, predisposing genetic characteristics, marital status, familial status, gender identity, gender dysphoria, pregnancy‑related condition, and domestic violence victim status or protected class characteristic, or any other protected characteristic as established by federal or state law. #J-18808-Ljbffr

This hybrid role will serve as the Software Engineer to development of microservices and integrations into the new deposit product platform. You will be part of a team of engineers to ensure scalable, secure and performing solutions in a x-matrix environment while confirming all regulatory requirements are met. Top Required Skills: 5+ years in Java-based development ability deliver on technical requirements and produce scalable solutions. Technical expertise with Java, Spring Boot, building microservices, API development (Apigee), CI/CD pipelines (Jenkins, Git Actions), Containerization (Open Shift), Streaming data (Kafka), Gen AI (CoPilot, Python, Prompt Engineering), developing ETL processes. Proven experience in development work to build integration solution with microservices and APIs within agile environment. Familiarity with large-scale transformation efforts or similar modular banking platforms. Support CI/CD pipelines along with automation to support productivity. Nice-to-have: Domain experience with consumer deposit products and pricing beneficial. Background with additional tech tools that include Flink and Redpanda. Banking experience preferred but not required. Should have experience working in highly regulated industry with large focus on risk/compliance requirements within SDLC. Top Responsibilities: Develop integration and microservice solutions using tech stack that includes Java, Spring Boot, Kafka, Apigee (API), Git Actions, Splunk and Open Shift. Promote automation and leveraging of Gen AI tools for productivity - CoPilot, Python, Prompt Engineering. Write integration and unit tests using TDD/BDD while enforcing code quality, and DevOps practices.

We are hiring a Network & Systems Operations Engineer to support large-scale, mission-critical access network platforms in a 24×7 production environment. This role is focused on Linux systems troubleshooting, network operations, incident response, and platform stability. This is a hands-on operations and engineering role, requiring equal strength in Linux systems and networking fundamentals. Qualifications: 5-10 years of experience in production operations or network/systems operations roles Strong hands-on experience with Linux/Unix systems troubleshooting Command-line proficiency Process, memory, CPU, disk, and log analysis Strong networking fundamentals Layer 1, Layer 2, and Layer 3 knowledge Routing and switching troubleshooting Experience with Juniper, Arista, or Cisco network devices Experience handling incidents, escalations, and on-call responsibilities Hands-on experience with server hardware in production environments Responsibilities Provide end-to-end system and network operational support in a 24×7 environment Perform incident triage, mitigation, and escalation handling for production systems Troubleshoot Linux/Unix systems using command-line tools (processes, memory, logs, file systems) Troubleshoot and support network devices, routing, and switching issues Maintain and support system architecture, including headend and access network platforms Support server hardware, including HPE servers, RMAs, and hardware replacements Execute system upgrades, platform changes, and risk-managed implementations Identify recurring issues and drive long-term operational improvements Collaborate with engineering, product, and regional teams to operationalize platforms Assist with automation and scripting to reduce manual operational tasks Participate in a rotating on-call schedule, including nights, weekends, and holidays #NetworkOperations #LinuxEngineer #SystemsEngineer #NetworkEngineer #LinuxTroubleshooting #Networking #Juniper #Arista #IncidentManagement #OnCall #InfrastructureOperations #TelecomJobs #PhiladelphiaJobs

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. Job Description This role will be based in New York, Mountain View or San Francisco. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. LinkedIn was built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities and gain insights. Our global reach means we get to make a direct impact on the world's workforce in ways no other company can. LinkedIn is seeking a thoughtful, creative prompt engineer and AI linguist with strong editorial judgment to join our Editorial AI team. This team sits at the intersection of LinkedIn News and LinkedIn Learning, exploring how generative AI can improve editorial workflows, develop innovative member-facing products and power the future of learning on LinkedIn. The ideal candidate will possess experience in AI data annotation design, annotator training, content strategy, or linguistics, along with a strong interest or experience working in machine learning and/or data analysis. They will be adept at working cross-functionally; experience working with product managers and engineers is a plus. This role focuses on designing and evaluating annotations involving editorial and natural language classification tasks. It will involve validating large-scale editorial data annotations used to develop, evaluate, and vet machine-learning classifiers and generative AI systems. This role requires creative thinking, collaborative problem solving and a keen interest in exploring how to build new tools and solve different editorial challenges using generative AI. Coding experience, particularly with Python, is a plus. You will also be a nimble operator, able to juggle multiple projects and deadlines at once. The ideal candidate will be cool-headed under pressure and comfortable working on projects that may involve ambiguity and no single, immediate solution. Responsibilities: Drafting annotation guidelines and developing robust, scalable annotation plans. Analyzing annotation results to assess data quality, consistency, and model readiness (including inter-annotator agreement and reliability metrics). Drafting and testing generative AI prompts to power editorial and learning products at LinkedIn Evaluating the quality of outputs from prompts and classifiers developed by the Editorial AI team and cross-functional partners Workshopping prompt drafts and offering feedback to other members of the Editorial AI team Developing new ideas and solutions to solve generative AI challenges Keeping up to date on the latest trends and techniques in prompt engineering and generative AI Collaborating with cross-functional partners (engineers, product managers, designers) and other members of the LinkedIn editorial and LinkedIn Learning teams Working on several projects at once, occasionally on tight deadlines. Training other editors and partners in the basics of data annotation and prompt engineering. Qualifications Basic Qualifications: 3+ years experience in linguistics, data annotation work (including guideline development or quality review), journalism, content strategy, or similar role Experience working with generative AI tools (e.g., ChatGPT, Claude, etc.) Preferred Qualifications: Proficiency in Python (especially for prompt iteration, evaluation or data analysis). Demonstrated interest in AI/ML and/or natural language processing. Understanding of key prompt engineering/LLM concepts (few-shot prompting, model fine-tuning, etc.). Familiarity with SQL, Jupyter and/or Git. Experience working cross-functionally with technical teams. Outstanding verbal communication skills and strong analytical capabilities. Comfortable working in ambiguous environments and iterating quickly. Exemplary editorial judgment. Eagerness for experimentation and creative problem solving. Passion for learning new technologies and tools. Ability to see other people's points of view and welcome constructive feedback. Suggested Skills: Data annotation design and guidelines development Strong editorial judgment Creative problem solving Cross-functional collaboration Prompt engineering LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $100,000 to $161,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. 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