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About Us: \n Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. \n \n Ideal Background: \n This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions — though exceptional experience and skill always take precedence over pedigree. \n \n Project Overview: \n As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections — with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. \n \n What Does a Typical Day Look Like? \n\n • Work on AI model training initiatives by curating code examples, building solutions, and correcting code — primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go.\n, • Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable.\n, • Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks.\n, • Build agents and automated verification tools in Python that can verify the quality of code and identify error patterns.\n, • Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them.\n, • Design verification mechanisms that can automatically verify a solution to a software engineering task.\n\n \n Required Skills: \n\n • Several years of software engineering experience (3 years or more)\n, • Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software.\n, • Experience building full-stack applications and deploying scalable software using modern languages and tools.\n, • Deep understanding of software architecture, design, development, debugging, and code quality/review assessment.\n, • Excellent oral and written communication skills for clear, structured evaluation rationales.\n\n \n Engagement Details: \n\n • Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week\n, • Type: Contractor (no medical/paid leave)\n, • Duration: 1 month (potential extensions based on performance and fit)\n, • Location: Candidates must be based in the United States\n\n \n Evaluation Process: \n\n • The application process takes 15–30 minutes.\n, • Completion of an AI video interview is required.\n\n

Staff Engineer \n Do you want to work on leading edge technology? Are you ready to build products that revolutionize history? At Intrinsic you will! We are a modern software development company creating new product solutions across a variety of industries. We build the latest web applications, cloud microservice architectures, and modern simulation technology applications. Send us your info and let us discuss the opportunity! \n \n Job Description: \n Intrinsic is looking for a skilled and self-motivated Staff Engineer that is passionate about building new products and loves to exceed the expectations of customers. As a full stack engineer you will join a highly talented scrum team in building modern web applications, structures code as a collection of services and deploy containerized platforms at the edge. Our full stack engineers work closely with the most capable end users and software engineers on the planet. \n \n As a team member, you will: \n · Containerize software with the latest Docker and Kubernetes technologies \n · Participate in team agile ceremonies and sprints \n · Work closely with the Intrinsic Project Manager, Chief Technology Officer, and fellow team members to assure the platform is being delivered on time and exceeding client expectations \n · Assure team cohesiveness in a “leadership by example” approach, building high-quality product features that exceed client expectations \n · Design, build, and push a new product to an emerging marketspace \n · Work on a dynamic, adaptable, and high performing team \n · Dive in and rapidly grow your skills with the latest technology \n \n Minimum qualifications: \n · Bachelor's degree in Computer Science, or similar engineering field \n · 3+ years leading a team of engineers \n · Experience being focal for technical client communication \n · 8+ years of relevant experience on a diverse software development team \n · Software development experience with three or more general purpose programming languages: JavaScript, TypeScript, C#, Python, or Go \n · Experience using and implementing AI/ML tools \n · 3+ years of experience with Docker, Kubernetes, and containerization strategies \n · 3+ years of experience in applying ORM programing techniques \n · Experience working across the following areas of concern: web application development, DevSecOps product development, distributed and parallel systems, information retrieval, developing new software applications, and/or secure software development \n · Leading code best practices expectations for the team and validating build pipelines to ensure code consistency \n · Interest and ability to learn new technologies \n \n Preferred qualifications: \n · Master’s in Computer Science or, or similar Engineering Field \n · 10+ years of software development experience, with emphasis on backend application development \n · 6+ years web application, API-driven, service-oriented architecture experience \n · 2+ years of Cloud microservices architecture development with understanding of delivering products to market (Cloud technologies should include AWS Lambda, API Gateway, DynamoDB, EC2, Cognito, Google Firebase, Google Cloud Functions, Azure DocumentDB, Azure Functions, Auth0) \n · Leadership with Agile, Lean and/or Continuous Delivery approaches and best practices, such as Extreme Programming (XP) \n · Interest and ability to learn new technologies as needed \n \n Job Type: Full-time \n Pay: $140,000.00 - $190,000.00 per year \n \n About Intrinsic: \n We are a technology services and product development company creating cloud-based solutions. Check us out: https://www.intrinsic.ventures \n Our Expertise: \n · Building Applications with Cloud Computing, Artificial Intelligence, Remote Storage and Chat Messaging Services \n · Delivering Enterprise Level Solutions at a Corporate Scale \n · Solving complex business challenges with leading edge technology platforms is what we do, and our team has unique experience in what makes them work effectively \n \n Benefits: \n · 401(k) \n · 401(k) matching \n · Dental insurance \n · Flexible schedule \n · Health insurance \n · Paid time off \n · Vision insurance \n Schedule: \n · Monday to Friday

About Us: \n Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. \n \n Ideal Background: \n This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions — though exceptional experience and skill always take precedence over pedigree. \n \n Project Overview: \n As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections — with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. \n \n What Does a Typical Day Look Like? \n\n • Work on AI model training initiatives by curating code examples, building solutions, and correcting code — primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go.\n, • Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable.\n, • Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks.\n, • Build agents and automated verification tools in Python that can verify the quality of code and identify error patterns.\n, • Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them.\n, • Design verification mechanisms that can automatically verify a solution to a software engineering task.\n\n \n Required Skills: \n\n • Several years of software engineering experience (3 years or more)\n, • Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software.\n, • Experience building full-stack applications and deploying scalable software using modern languages and tools.\n, • Deep understanding of software architecture, design, development, debugging, and code quality/review assessment.\n, • Excellent oral and written communication skills for clear, structured evaluation rationales.\n\n \n Engagement Details: \n\n • Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week\n, • Type: Contractor (no medical/paid leave)\n, • Duration: 1 month (potential extensions based on performance and fit)\n, • Location: Candidates must be based in the United States\n\n \n Evaluation Process: \n\n • The application process takes 15–30 minutes.\n, • Completion of an AI video interview is required.\n

C-RAD is an expanding global medical device company with headquarters in Uppsala, Sweden. We develop, manufacture, and sell innovative solutions to healthcare customers, with a focus on patient positioning, monitoring, and imaging within Radiation Therapy (RT). We are a market leader in the field of optical patient positioning and surface tracking. Our products enable precision treatments through positioning and monitoring of patients in radiation therapy, which maximizes the dose in tumors and minimizes the dose in surrounding tissues. Our products support all major Photon and Proton therapy systems. C-RAD is expanding our US-based Service team with an open position in Seattle – apply now and join the fight against cancer! About the opportunity • As a Field Service Engineer at C-RAD, you will perform installations and maintenance on radiation therapy products, with Seattle as your home region and regular travel across the United States and Canada, • You will plan and execute installations and customer acceptance, perform on-site service and preventive maintenance, and provide remote customer support from your home office, • This role is well suited to engineers who enjoy hands-on troubleshooting, travel, and completing complex installations independently Responsibilities and tasks • Prepare and execute installations, service, and support activities in line with company procedures and routines, • Diagnose system or technical issues and determine appropriate solutions, • Provide basic customer technical training related to products, • Build positive relationships with customers and colleagues, • Document service calls, cases, and reports in a timely manner in accordance with company procedures, • Provide remote customer support as part of a rotating on-call schedule during business hours, with some schedule flexibility Qualifications and experience • Medical device or radiotherapy experience is beneficial but not required; greater emphasis is placed on strong troubleshooting skills, technical curiosity, comfort with computers and hands-on work, and the persistence to fully resolve issues, • Practical, hands-on experience with Windows-based systems and IT/networking tasks, including system configuration, hardware and software installation and troubleshooting, network connectivity, and diagnostics, • Bachelor’s or Associate degree in Engineering (Biomedical, Electronics, Computer, Mechanical) or IT, or equivalent work experience, • Ability to travel up to 75%, • Ability to safely work on ladders, above drop ceilings, and lift equipment weighing up to 40 pounds, • Fluent in English (written and spoken), • Driver’s license and eligible for passport Key competencies and personal characteristics • Strong personal drive and motivation to learn new products and subjects, • Team player with strong interpersonal and communication skills, committed to building trusted customer and colleague relationships, • Self-motivated problem-solver, able to plan and execute own assignments, • Structured, analytical and professional in all situations Training and onboarding • On-the-job training through shadowing and mentoring with experienced Field Service Engineers, followed by formal product certification training, • Gradual progression from supervised preventive maintenance and service activities to independent service and installations, • Expectation of a proactive, self-directed approach to learning through hands-on experience, documentation review, and problem-solving in the field Role opportunities • Contribute directly to C-RAD’s mission to improve cancer treatment and patient outcomes, • Be part of an experienced and collaborative service team supporting advanced medical technology, • Opportunities for professional development and career progression within C-RAD, • A key role in a growing, innovative Swedish life science company, • Home-office based when not traveling for customer assignments Contact & Application For inquiries and more information about the position, please contact hiring manager Peter Nyman, Service Manager Americas at C-RAD: E-Mail: peter.nyman@c-rad.com

Title: Data Engineer Location: Seattle, WA/Hybrid Key Responsibilities: Data engineer with python, Apache spark, aws, data lake stack, Athena, Emr, datashift, practical experience in designing, testing Aws lake models. Required Skills & Qualifications Technical Skills: Strong hands-on experience in Databricks Expertise in PySpark Experience with AWS services such as: S3 EC2 Hands-on experience with AWS Glue Good knowledge of SQL Experience working with Delta Lake Understanding of data warehousing concepts Knowledge of Airflow or similar orchestration tools Experience with Git and CI/CD pipelines Education Bachelor’s or Master’s degree in Computer Science, Engineering, IT, or related field

About Us: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Ideal Background: This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions — though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections — with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? • Work on AI model training initiatives by curating code examples, building solutions, and correcting code — primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go., • Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable., • Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks., • Build agents and automated verification tools in Python that can verify the quality of code and identify error patterns., • Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them., • Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills: • Several years of software engineering experience (3 years or more), • Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software., • Experience building full-stack applications and deploying scalable software using modern languages and tools., • Deep understanding of software architecture, design, development, debugging, and code quality/review assessment., • Excellent oral and written communication skills for clear, structured evaluation rationales. Engagement Details: • Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week, • Type: Contractor (no medical/paid leave), • Duration: 1 month (potential extensions based on performance and fit), • Location: Candidates must be based in the United States Evaluation Process: • The application process takes 15–30 minutes., • Completion of an AI video interview is required.

Description We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. Role Overview We are looking for a new Red Team member in our Seattle office. The ideal candidate will be passionate around security and will love to dive deep in order to understand and exploit a potential security vulnerability. If you love finding security weaknesses and use those findings to bypass technical security controls, we would love to hear from you. What You Will Do • Responsibilities will include, but not be limited to, the following:, • Perform penetration testing activities on web, mobile, API and network., • Provide remediation guidelines and improvements to the issues identified during the engagements, • Perform threat actor simulation activities (Red Team campaigns) Basic Qualifications • 5+ years of technical work experience in offensive security, • Proficiency on web, mobile and API testing, • Experience with common penetration testing security tools (e.g., Burp Suite, Metasploit, Kali Linux, Nmap), • Good understanding of OS security (e.g., Linux) and networking (TCP/IP), • Proficiency with command-line tools and Linux, • Confident with at least one programming language (e.g., Python, Java) in order to develop scripts and tools that could aid the testing activities. Preferred Qualifications • Work experience in the e-commerce sector is valuable., • Experience in cloud (e.g., AWS) and understanding the differences between Cloud and traditional data-center environments., • Understanding of Cyber Kill Chain, MITRE ATT&CK framework, • Computer Science, Computer Engineering, or related technical Degree, • Holder of well-recognized offensive security certifications (e.g., Offensive Security like OSCP, OSCE or OSED, CREST, SANS), • Fluent in Korean and English Pay & Benefits Our compensation reflects the cost of living across several US geographic markets. At Coupang, your base pay is one part of your total compensation. The base pay for Staff position ranges from $152K/year to $261K/year. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience. General Description of All Benefits Annual bonus is 0-20% of the base salary Medical/Dental/Vision/Life, AD&D insurance Flexible Spending Accounts (FSA) & Health Savings Account (HSA) Long-term/Short-term Disability Employee Assistance Program (EAP) program 401K Plan with Company Match 18-21 days of the Paid Time Off (PTO) a year based on the tenure 12 Public Holidays 6 weeks Paid Parental leave Pre-tax commuter benefits MTV - [Free] Electric Car Charging Station General Description of Other Compensation “Other Compensation” includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary range or wage scale. Recruitment Process and Others Recruitment Process Application Review - Job Fit Interview - Focus Interview – Offer The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Details to Consider This job posting may be closed prior to the stated end date for application if all openings are filled. Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: _ Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or gender (including pregnancy, gender identity, gender expression, sexual orientation, transgender status), national origin, age, disability, medical condition, HIV/AIDS or Hepatitis C status, marital status, military or veteran status, use of a trained dog guide or service animal, political activities, or affiliations, citizenship, or any other characteristic or class protected by the laws or regulations in the locations where we operate. If you need assistance and/or reasonable accommodation in the recruiting process due to a disability, please contact us at usrecruiting@coupang.com. Job Requisition ID: R0078387

Company Description OrcaRouter is an intelligent AI routing layer that automatically selects the most suitable model for every prompt from a catalog of over 200 models. By optimizing model choice in real time, OrcaRouter significantly reduces inference costs—often by up to 80%—while maintaining high performance. The platform offers one unified API, making it easier for teams to integrate and manage multiple AI models without added complexity. With zero markup and no vendor lock-in, OrcaRouter gives developers and organizations flexibility, transparency, and control over their AI infrastructure. Role Description This is a remote contract role for a Developer Relations professional at OrcaRouter. In this role, the individual will help developers understand, adopt, and succeed with OrcaRouter’s unified AI routing API through documentation, tutorials, sample code, and technical content. Day-to-day responsibilities include engaging with the developer community via forums, social channels, events, and webinars; gathering feedback on product features; and collaborating with engineering and product teams to improve the developer experience. The role also involves building reference implementations and demos, supporting key partners and customers during integration, and advocating for developers’ needs inside the organization. Qualifications • Strong technical communication abilities, including writing clear documentation, tutorials, and technical blog posts., • Experience with APIs and developer tools, ideally in AI/ML, cloud platforms, or SaaS environments., • Comfort with at least one modern programming language (e.g., Python, JavaScript/TypeScript) and common developer workflows (version control, CI/CD)., • Background in developer advocacy, community building, or technical evangelism, with experience presenting to technical audiences., • Ability to collaborate effectively with product, engineering, and marketing teams and translate technical concepts into accessible content., • Strong problem-solving skills and a user-centric mindset, with the ability to collect and synthesize developer feedback., • Experience working remotely and managing priorities independently in a fast-paced, evolving environment., • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience; prior experience in AI/ML or infrastructure tooling is a plus.

We are growing!! LTM’ s Blueverse team is looking for dynamic and enthusiastic candidates for a Forward Deployed Engineer position in Bellevue, WA location. LTM is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 750 clients, LTM brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTM — a Larsen & Toubro Group company — combines the industry-acclaimed strengths in solving the most complex business challenges and delivering transformation at scale. For more information, please visit _. Job Description: Forward Deployed Engineer – Bellevue, WA You Will: • Collaborate with business stake holders, product managers, and engineering teams to understand requirements and translate them into effective technical solutions, • Support the complete PDLC/SDLC lifecycle including requirements gathering solution design development testing deployment and postproduction support, • Configure, customize, and develop applications to address business needs, • Troubleshoot application and system issues identify root causes and implement sustainable fixes, • Work closely with developers to integrate solutions and enhance product functionality, • Participate in system testing user acceptance testing UAT and production deployments, • Monitor solution performance and provide ongoing maintenance and support, • Document technical designs implementation approaches and operational procedures, • Contribute to process improvements and best practices to ensure high-quality solution delivery, • Quickly learn new technologies tools and business processes as required Skills You Will Bring: • Basic understanding of software development principles and SDLC methodologies, • Knowledge of programming languages such as Python Java JavaScript C or similar, • Understanding of APIs databases and system integrations, • Strong analytical and problem-solving skills, • Effective Communication Skills, Customer Service Oriented, Teamwork and collaboration., • Ability to learn quickly and adapt quickly to changing priorities., • Strong intellectual curiosity and affinity to technology., • Exhibits attention to detail in day-to-day activities along with Problem solving abilities., • Technical curiosity and motivation to succeed. Well-rounded extra-curricular experiences, with demonstrated leadership. Education: • Bachelor’s degree or higher with a technology focus., • Majors include Math, Engineering, Computer Science, Computer Information Systems, Information Technology, Cyber Security, and others., • 3.0 GPA or higher. LTM is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.

SUMMARY Using fundamental technical skills, analytical abilities, and up-to-date regulatory knowledge, provide complete customer oriented, air quality permitting, modeling, and compliance solutions, to assist clients in areas of permitting and regulatory compliance. ESSENTIAL DUTIES AND RESPONSIBILITIES 1. Technical Responsibilities: • Conduct air dispersion modeling analysis in accordance with project requirements and/or published guidelines., • Calculate air emissions, determine required control technologies, and document process information to ensure client operations, and work practices are in accordance with all applicable regulations., • Remain current regarding the latest developments in air pollution control technologies. 1. Regulatory Knowledge: • Assemble permit applications, permit amendment applications, standard exemptions, source inventories, and emission fee calculations for submittal to state regulatory agencies for industrial clients., • Understand existing regulations and continually review new and proposed regulations as they relate to industrial clients. 1. Maintain relationships with existing clients solicit new project work as appropriate; communicate results of analyses internally and externally in verbal and written form., 2. Assist new project engineers with projects and participate in internal training., 3. Update client information in the internal database in a timely manner. (The specific statements shown in each section of this description are not intended to be all-inclusive. They represent typical elements and criteria necessary to successfully perform the job.) SUPERVISORY RESPONSIBILITIES This job has no supervisory responsibilities. QUALIFICATIONS To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. EDUCATION and/or EXPERIENCE Bachelor's degree (B. S.) in Chemical, Mechanical, Environmental/Civil Engineering, and/or related Atmospheric/Environmental Science from four-year college or university or foreign equivalent; and at least two to four years related experience and/or training; or equivalent combination of education and experience.Must have computer literacy, including basic programming, word processing, spreadsheet skills, and knowledge of Microsoft Office software package. LANGUAGE SKILLS Ability to read, analyze, and interpret general business periodicals, professional journals, technical procedures, or governmental regulations. Ability to write reports, business correspondence, and procedure manuals. Ability to effectively present information and respond to questions from groups of managers, clients, customers, and the general public.

About Us: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Ideal Background: This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions — though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections — with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? • Work on AI model training initiatives by curating code examples, building solutions, and correcting code — primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go., • Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable., • Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks., • Build agents and automated verification tools in Python that can verify the quality of code and identify error patterns., • Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them., • Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills: • Several years of software engineering experience (3 years or more), • Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software., • Experience building full-stack applications and deploying scalable software using modern languages and tools., • Deep understanding of software architecture, design, development, debugging, and code quality/review assessment., • Excellent oral and written communication skills for clear, structured evaluation rationales. Engagement Details: • Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week, • Type: Contractor (no medical/paid leave), • Duration: 1 month (potential extensions based on performance and fit), • Location: Candidates must be based in the United States Evaluation Process: • The application process takes 15–30 minutes., • Completion of an AI video interview is required.

About Us: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Ideal Background: This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions — though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections — with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? • Work on AI model training initiatives by curating code examples, building solutions, and correcting code — primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go., • Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable., • Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks., • Build agents and automated verification tools in Python that can verify the quality of code and identify error patterns., • Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them., • Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills: • Several years of software engineering experience (3 years or more), • Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software., • Experience building full-stack applications and deploying scalable software using modern languages and tools., • Deep understanding of software architecture, design, development, debugging, and code quality/review assessment., • Excellent oral and written communication skills for clear, structured evaluation rationales. Engagement Details: • Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week, • Type: Contractor (no medical/paid leave), • Duration: 1 month (potential extensions based on performance and fit), • Location: Candidates must be based in the United States Evaluation Process: • The application process takes 15–30 minutes., • Completion of an AI video interview is required.

About Us: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Ideal Background: This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions — though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections — with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? • Work on AI model training initiatives by curating code examples, building solutions, and correcting code — primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go., • Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable., • Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks., • Build agents and automated verification tools in Python that can verify the quality of code and identify error patterns., • Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them., • Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills: • Several years of software engineering experience (3 years or more), • Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software., • Experience building full-stack applications and deploying scalable software using modern languages and tools., • Deep understanding of software architecture, design, development, debugging, and code quality/review assessment., • Excellent oral and written communication skills for clear, structured evaluation rationales. Engagement Details: • Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week, • Type: Contractor (no medical/paid leave), • Duration: 1 month (potential extensions based on performance and fit), • Location: Candidates must be based in the United States Evaluation Process: • The application process takes 15–30 minutes., • Completion of an AI video interview is required.

ABOUT THE ROLE Every roof, wall, and floor starts with a takeoff: measuring a project from plans, drawings, and imagery to determine exactly what materials it needs. Across our industry, that work is still largely done by hand. QXO is building the technology-forward leader in building products distribution, and takeoff is one of the first places we intend to change how the industry works. As a Senior Software Engineer on our new Takeoff team, you will be one of the first engineers building the systems that measure a building and forecast what it takes to build it. You will build AI-powered products that turn an address, a set of plans, or an image into an accurate bill of materials, and take them from prototype to production across roofing, insulation, and exterior building products. The team is small by design, and the problems span computer vision, geometry, LLMs, and high-scale estimation. You will build the way we build: AI-native. AI agents are a core part of how you design, write, test, and ship software, and you will help shape how the team does the same. WHAT YOU WILL DO • Build the measurement engine. Design, build, and own core components of the systems that extract measurements from aerial imagery, plans, drawings, and 3D models, and turn them into accurate, explainable quantities., • Forecast what it takes to build. Build and tune the models that translate measurements into materials, including quantities, waste, and complementary products, and that improve as actual orders and job outcomes flow back in., • Put AI into production. Ship LLM, machine learning, and computer vision features to production with clear accuracy targets, evaluation harnesses, and human review where it matters., • Build for scale. Build services that handle high volumes of measurement and estimation requests with low latency, high reliability, and cost discipline, and expose them to web, mobile, internal tools, and partner platforms., • Expand across lines of business. Deliver takeoff features for roofing, insulation, siding, waterproofing, decking, and beyond, building reusable components so each new line of business ships faster than the last., • Engineer AI-native. Use AI agents across the software lifecycle, from design and code to testing and operations, and contribute the tooling and patterns that make the team faster without lowering the bar., • Work close to the customer. Partner with product, UX, and sales engineering and with the takeoff experts who do this work today to understand the workflow and turn it into working software., • Own what you ship. Write design docs, review code, mentor engineers, and own the accuracy, quality, and operations of your systems in production. BASIC QUALIFICATIONS • 5+ years of experience designing, building, and operating production software systems, including leading the design and delivery of significant features or services., • Hands-on experience building and shipping AI or machine learning features in production, including practical experience with LLMs., • Experience building measurement, estimation, or forecasting systems at scale, including tracking accuracy and improving it over time., • Solid foundation in distributed systems, data pipelines, and service design for high-volume, low-latency workloads., • An AI-native engineering practice: daily use of AI coding agents and tools, and experience applying evaluations or guardrails to AI features., • Ability to take a loosely defined problem to a working design and explain tradeoffs to engineering and business partners in plain language PREFERRED QUALIFICATIONS • Experience in construction technology, building products, estimating, or takeoff., • Background in computer vision, photogrammetry, or aerial and geospatial imagery., • Experience with computational geometry, CAD, or 3D modeling, and with delivering those experiences across web and mobile clients., • Experience with demand or quantity forecasting, probabilistic modeling, or time series methods., • Experience as an early engineer on a new product or team in a high-growth environment., • Advanced degree in computer science, machine learning, or a related field.

HCL Tech is looking for a highly talented and self- motivated Technical Program Manager to join it in advancing the technological world through innovation and creativity. Job Title: Technical Program Manager Job ID: 171915 Position Type: Full-time Location: Seattle, WA Role/Responsibilities Job Summary: To conceptualize| design and manage delivery of product / project and sustenance as per defined scope and standards in a particular technology. Key Responsibilities: 1. To manage the customer delivery / expectations and the technical team, 2. To architect| design and develop solution for product / project and sustenance delivery, 3. To gather specifications and deliver solutions to the client organization based on understanding of a domain or technology., 4. To train and develop team so as to ensure that there is adequate supply of trained manpower in the said technology and delivery risks are mitigated., 5. To ensure knowledge up-gradation and work with new technologies so that the solution is current and meets quality standards and the client requirements. Skill Requirements: • Bachelor's degree in computer science, Information Technology, Engineering or a related technical field, or equivalent practical experience., • Minimum 10 years of progressively responsible experience delivering complex technology initiatives, including 10+ years in project or programme management., • Demonstrated experience delivering large, cross-functional programmes through the full software development lifecycle., • Hands-on experience in enterprise payments, retail payments, payment gateways, payment orchestration, merchant acquiring or related financial transaction platforms., • Experience creating and executing implementation strategies for complex, highly integrated and business-critical systems., • Strong understanding of Agile, Waterfall, DevOps and Lean delivery practices, with the judgement to apply the right approach for the programme context., • Ability to lead technical discussions involving APIs, event-driven integrations, distributed systems, cloud platforms, databases and high-availability services., • Experience estimating effort and impact, managing budgets and capacity, and influencing technical and business decisions., • Strong relationship, organisational change, facilitation, negotiation and conflict-resolution skills., • Excellent written, verbal and presentation skills, with the ability to communicate effectively from engineering teams to executive leadership., • Proven ability to manage competing priorities with urgency, discipline and attention to detail. Qualifications & Experience Minimum Requirements Desired Qualifications Pay and Benefits Pay Range Minimum: $95, 000/Annum Pay Range Maximum: $192,000/Annum HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to secure@hcltech.com for investigation. Compensation and Benefits A candidate’s pay within the range will depend on their work location, skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year. How You’ll Grow At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.

ABOUT THE ROLE Every roof, wall, and floor starts with a takeoff: measuring a project from plans, drawings, and imagery to determine exactly what materials it needs. Across our industry, that work is still largely done by hand. QXO is building the technology-forward leader in building products distribution, and takeoff is one of the first places we intend to change how the industry works. As a Staff Software Engineer on our new Takeoff team, you will be one of the first engineers building the systems that measure a building and forecast what it takes to build it. You will design AI-powered products that turn an address, a set of plans, or an image into an accurate bill of materials, and take them from prototype to production across roofing, insulation, and exterior building products. The team is small by design, and the problems span computer vision, geometry, LLMs, and high-scale estimation. You will build the way we build: AI-native. AI agents are a core part of how you design, write, test, and ship software, and you will set the standard for how the team does the same. WHAT YOU WILL DO • Architect the measurement engine. Design and build the systems that extract measurements from aerial imagery, plans, drawings, and 3D models, and turn them into accurate, explainable quantities., • Forecast what it takes to build. Build the models that translate measurements into materials, including quantities, waste, and complementary products, and that improve as actual orders and job outcomes flow back in., • Put AI into production. Take LLM, machine learning, and computer vision capabilities from prototype to production with clear accuracy targets, evaluation harnesses, and human review where it matters., • Build for scale. Design services that handle high volumes of measurement and estimation requests with low latency, high reliability, and cost discipline, and expose them to web, mobile, internal tools, and partner platforms., • Expand across lines of business. Extend one takeoff platform from roofing to insulation, siding, waterproofing, decking, and beyond, so each new line of business ships faster than the last., • Engineer AI-native. Use AI agents across the software lifecycle, from design and code to testing and operations, and build the tooling, patterns, and review practices that make the team faster without lowering the bar., • Shape the direction. Partner with product, UX, and sales engineering leaders and with the takeoff experts who do this work today. Inform build, buy, and partner decisions with rigorous technical evaluation., • Raise the bar. Mentor engineers, lead design reviews, and set the standard for accuracy, quality, and operational excellence on the team. BASIC QUALIFICATIONS • 8+ years of experience designing, building, and operating production software systems, including technical leadership of complex, cross-team projects., • Hands-on experience building and shipping AI and machine learning systems in production, including practical experience with LLMs., • Experience building high-scale measurement, estimation, or forecasting systems, including defining accuracy metrics and improving them over time., • Strong foundation in distributed systems, data pipelines, and service design for high-volume, low-latency workloads., • An AI-native engineering practice: daily use of AI coding agents and tools, and experience building evaluations, guardrails, or tooling around AI systems., • Ability to turn ambiguous problems into clear technical designs and explain tradeoffs to engineering and business partners in plain language PREFERRED QUALIFICATIONS • Experience in construction technology, building products, estimating, or takeoff., • Background in computer vision, photogrammetry, or aerial and geospatial imagery., • Experience with computational geometry, CAD, or 3D modeling, and with delivering those experiences across web and mobile clients., • Experience with demand or quantity forecasting, probabilistic modeling, or time series methods., • Experience as an early engineer on a new product or team in a high-growth environment., • Advanced degree in computer science, machine learning, or a related field.

About Position: We are seeking an experienced Sr AI Engineering Lead to drive the strategy, architecture, and delivery of enterprise-scale AI, Data, and Analytics solutions. The ideal candidate will possess deep expertise in Generative AI, cloud-native application development, and enterprise architecture, along with strong leadership capabilities. This role will be responsible for designing innovative AI-powered solutions using Azure OpenAI and modern AI frameworks while leading engineering teams to deliver scalable, secure, and business-focused digital transformation initiatives. • Role: Sr AI Engineering Lead, • Location: Bellevue, WA, • Experience: Between 12 to 15 Years, • Job Type: Full Time Employment What You'll Do: • Lead the architecture, design, and implementation of enterprise AI solutions utilizing Azure OpenAI, Retrieval-Augmented Generation (RAG), Semantic Kernel, Embeddings, Prompt Engineering, and Agentic AI frameworks., • Drive end-to-end delivery of enterprise AI transformation programs, including AI Copilots, AI Agents, and intelligent automation solutions., • Design and develop cloud-native applications using .NET/C#, RESTful APIs, microservices, and Azure-first architecture patterns., • Collaborate with business leaders, product owners, architects, and engineering teams to define technology roadmaps and implementation strategies., • Translate complex business requirements into scalable, secure, and sustainable enterprise solutions., • Architect and implement enterprise-grade Generative AI solutions that improve business processes and user experiences., • Lead AI strategy discussions and recommend innovative technologies to support organizational objectives., • Oversee Azure DevOps pipelines, CI/CD processes, deployment automation, release management, and application lifecycle management., • Drive best practices for software engineering, AI engineering, architecture governance, and cloud adoption., • Conduct architecture reviews, technical design sessions, solution assessments, and code reviews., • Ensure solution reliability, scalability, performance optimization, security, and compliance across platforms., • Establish AI governance frameworks, Responsible AI practices, and enterprise security standards., • Mentor technical teams and foster a culture of innovation, collaboration, and engineering excellence., • Support production operations, incident management, root cause analysis, and continuous improvement initiatives., • Partner with executive leadership and stakeholders to drive measurable business outcomes through AI programs. Expertise You'll Bring: • 12 to 15 years of experience in software engineering, cloud architecture, AI engineering, and enterprise solution delivery., • Strong hands-on experience with Azure OpenAI, Generative AI, Large Language Models (LLMs), RAG architectures, Semantic Kernel, Prompt Engineering, Embeddings, and Agentic AI frameworks., • Proven expertise in designing and delivering enterprise-scale AI transformation initiatives and AI-powered business solutions., • Extensive experience developing cloud-native applications using .NET/C#, REST APIs, and microservices architectures., • Strong understanding of Microsoft Azure services and modern cloud architecture patterns., • Experience delivering enterprise Copilot implementations and AI Agent-based solutions., • Strong expertise in Azure DevOps, CI/CD pipelines, deployment automation, release management, and production support., • Experience creating scalable architecture roadmaps and technology transformation strategies., • Strong understanding of enterprise integration, API design, security controls, and cloud-native development practices., • Excellent stakeholder management skills with the ability to communicate effectively with business executives and technical teams., • Experience leading architecture governance, engineering standards, solution reviews, and technical mentorship programs., • Strong knowledge of performance optimization, reliability engineering, scalability, data governance, and operational excellence., • Understanding of Responsible AI principles, AI governance frameworks, data privacy regulations, compliance requirements, and enterprise security standards., • Experience with Azure Bicep, Infrastructure as Code (IaC), PowerShell, and cloud automation technologies., • Proven leadership experience managing high-performing engineering teams and cross-functional initiatives., • Strong analytical, problem-solving, and strategic planning skills., • Microsoft Azure certifications in AI, Solution Architecture, or related cloud technologies are highly preferred., • Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related discipline. Benefits: • Competitive salary and benefits package, • Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications, • Opportunity to work with cutting-edge technologies, • Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards, • Annual health check-ups, • Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Values-Driven, People-Centric & Inclusive Work Environment: Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. • We support hybrid work and flexible hours to fit diverse lifestyles., • Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities., • If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment. Let's unleash your full potential at Persistent - persistent.com/careers "Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."

Simplus, An Infosys Company are seeking a highly experienced Lead Salesforce Developer who can provide technical leadership, guide engineering standards, and drive the evolution of our enterprise Salesforce ecosystem. Location: Frisco TX / Bellevue WA Deliver on the following responsibilities: Leadership and Collaboration • Provide technical leadership across multiple Salesforce initiatives and ensure alignment with enterprise architecture and long-term technology strategy., • Mentor and guide developers at all levels, strengthening the team’s capabilities through training, design reviews, and coaching on best practices., • Partner with business stakeholders, architects, product owners, and cross-functional teams to define strategic roadmaps and deliver scalable solutions., • Champion engineering excellence by communicating and reinforcing coding standards, performance patterns, and secure development practices. Technical Execution and Architecture • Lead the design and development of complex Salesforce applications using Apex, Lightning Web Components, Visualforce, and platform APIs., • Architect reusable components and scalable integrations that support growing business needs., • Oversee and enhance CI/CD pipelines, branching strategies, and release management processes using tools such as GitLab and Salesforce DX., • Validate technical designs and code quality through in-depth reviews, ensuring solutions adhere to performance, security, and scalability requirements. Organizational Impact • Lead technical planning and estimation for large, multi-team initiatives., • Support the growth of the Salesforce practice by contributing to reusable patterns, engineering playbooks, and technical onboarding materials., • Identify opportunities to streamline processes and promote automation that improves delivery speed and operational efficiency., • Serve as a trusted advisor on Salesforce capabilities, helping business and technology partners understand constraints, risks, and solution tradeoffs. Minimum Required Experiences: • 4 years of hands-on Salesforce development experience with at least 4 years in senior or lead engineering roles., • Deep expertise in Apex, Lightning Web Components, SOQL and SOSL, Flow development, custom metadata, and platform automation., • Excellent knowledge of Salesforce data modeling, security models, and advanced integration patterns that include REST, SOAP, Platform Events, and asynchronous processing., • Proven experience leading development teams in Agile and Scrum environments with consistent participation in sprint planning, grooming, and technical ceremonies., • Demonstrated ability to drive high-quality releases in fast-paced settings with strong ownership of deadlines and technical deliverables., • Experience with Salesforce Experience Cloud is required., • Experience with Github Copilot to accelerate Salesforce development Desired Experiences: • Bachelor’s degree in Computer Science, Information Systems, or a related discipline., • 7 years of hands-on Salesforce development experience with at least 4 years in senior or lead engineering roles., • Salesforce certifications such as Platform Developer I and II, Application Architect, or System Architect are highly preferred. 7 or more years of IT experience with a track record of leading enterprise-scale Salesforce programs and delivering complex technical solutions. If you are interested, please share your CV to sharonsantosh.ninan@infosys.com OR you can apply here and attach your profile.

We are seeking a Senior Data Engineer with strong expertise in Databricks, Python, ETL, SQL, and Data/Financial Modeling to design, build, and operate scalable data pipelines and lakehouse data products. The role will support data-driven capabilities across device supply chain, reverse logistics, procurement, network supply chain, and real-time control tower initiatives. The ideal candidate will have hands-on experience building production-grade data solutions in large enterprise environments and working across data ingestion, transformation, modeling, validation, and delivery Primary Skills: Databricks, Python Secondary Skills: Data Engineering, ETL, SQL, Azure Data Factory, Salesforce, Data/Financial Modeling Key Responsibilities • Design, develop, and maintain production-grade data pipelines covering source ingestion, Bronze landing, Silver transformation, and Gold-layer data products., • Implement Medallion Architecture (Bronze, Silver, Gold) and follow established data product development and certification standards., • Develop scalable data engineering solutions using Databricks, Python, SQL, Azure Data Factory, and related Azure data technologies., • Collaborate with System Analysts, Data Scientists, Product Managers, and business stakeholders to translate requirements into robust data solutions., • Implement field-level transformations, business rules, data validation, and data quality checks based on product requirements., • Perform data wrangling, profiling, cleansing, and transformation to create reliable datasets for analytics and downstream applications., • Develop and maintain data and financial models that support business reporting, analytics, forecasting, and decision-making., • Analyze source systems and perform ad-hoc SQL queries to validate data and troubleshoot pipeline issues., • Build and optimize ETL/ELT processes for performance, scalability, reliability, and cost efficiency., • Collaborate with cross-functional teams to understand business objectives and deliver data solutions that provide measurable business value., • Support data product releases, testing, deployment, and production operations., • Document data pipelines, transformation logic, data models, business rules, and other technical artifacts., • Identify opportunities to improve data quality, pipeline performance, automation, and overall engineering efficiency. Required Qualifications • 5–10 years of experience in Data Engineering with a strong track record of delivering production-grade data solutions., • 5+ years of IT experience with Python, including data processing, automation, and pipeline development., • Strong hands-on experience with Databricks and modern data engineering practices., • Strong expertise in ETL/ELT and SQL, including data transformation, validation, troubleshooting, and source-system analysis., • 7+ years of experience with Azure Data Factory or comparable pipeline orchestration technologies., • Experience working with Salesforce data and integrating Salesforce with enterprise data platforms., • Strong understanding of Data Modeling, including dimensional modeling and data structures supporting analytics and financial use cases., • Experience with Microsoft Fabric or Azure Synapse Analytics is highly desirable., • Familiarity with Microsoft Fabric, OneLake, and Fabric IQ is a plus., • Experience with orchestration tools such as Azure Data Factory, Databricks Workflows, or Apache Airflow., • Strong understanding of data warehousing, lakehouse architecture, data quality, and data governance., • Experience working in large enterprise environments with cross-functional business and technology teams. Preferred Qualifications • Experience with Microsoft Fabric and OneLake., • Knowledge of Fabric IQ certification standards and enterprise data product practices., • Experience supporting supply chain, procurement, logistics, finance, or related business domains., • Exposure to Machine Learning/AI data pipelines and collaboration with Data Scientists or ML Engineers., • Experience optimizing large-scale data pipelines for performance and cost., • Experience with cloud-based data platforms and modern lakehouse architectures. Education & Certifications • Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, Data Science, or a related field preferred., • Certifications: Not required. ABOUT BRICKRED SYSTEMS BrickRed Systems is a global leader in next-generation technology consulting and workforce solutions, specializing in delivering high-quality talent across digital, engineering, marketing, analytics, finance, operations, and business transformation domains. With a strong emphasis on innovation, scalability, and client success, BrickRed Systems helps organizations solve complex business challenges by providing skilled professionals across strategy, technology, creative, and operational functions. BrickRed fosters a culture of continuous learning, collaboration, and excellence, enabling professionals to contribute to high-impact global initiatives while advancing their careers.

About Ascendion Ascendion is an AI-native software engineering disruptor helping businesses innovate faster, smarter, and with greater impact. We partner with enterprise clients across North America, the UK, Europe, and APAC to solve complex challenges in data, experience design, software product engineering, and workforce transformation. Powered by expert engineers, thousands of AI agents, and our Engineering to the Power of AI (EngineeringAI) method, we deliver measurable outcomes that build trust, unlock value, and accelerate growth. Learn more at _. Engineering to the Power of AI™, AAVA™, EngineeringAI, Engineering to Elevate Life™, Enterprise PlatformsAI, Data & InsightsAI, ExperienceAI, GCCAI, OperationsAI, Platform EngineeringAI, ProductAI, and Quality EngineeringAIare trademarks or service marks of Ascendion®. AAVA™ is pending registration. Unauthorized use is strictly prohibited. Ascendion | Engineering to elevate life We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us: • Build the coolest tech for the world’s leading brands, • Solve complex problems - and learn new skills, • Experience the power of transforming digital engineering for Fortune 500 clients, • Master your craft with leading training programs and hands-on experience Experience a community of change makers! Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion. About the Role Job Title:Data Engineer Location:Seattle 5 Days Onsite Key Responsibilities • Design, build, and optimize scalable ETL pipelines using AWS Glue., • Develop and manage data workflows and orchestration using Managed Airflow (MWAA)., • Write and optimize SQL and Python/PySpark scripts for data transformation and processing., • Architect and maintain data storage solutions using AWS Redshift and S3., • Implement and manage data cataloging, governance, and security using AWS Glue and Lake Formation., • Collaborate with analytics teams to support reporting and visualization using QuickSight and Tableau., • Automate infrastructure deployment using AWS CDK and AWS Build Tools., • Ensure high data quality, performance, and reliability across all data processes., • Drive best practices for data engineering, including CI/CD, monitoring, and documentation., • Mentor junior engineers and contribute to team development and knowledge sharing. Minimum Qualifications • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field., • 7+ years of experience in data engineering, ETL development, or similar roles., • Experience working a lead role., • Expertise in AWS data technologies, including AWS Glue, Redshift, S3, and Lake Formation., • Strong programming skills in SQL, Python, and PySpark., • Hands-on experience with data pipeline orchestration using Managed Airflow (MWAA)., • Knowledge of data modeling, warehousing concepts, and performance tuning., • Familiarity with AWS CDK and AWS Build Tools for infrastructure automation., • Excellent problem-solving, analytical, and communication skills., • Experience working in Agile or DevOps environments. Note : Candidates with Retail and High-tech domain are preffered, Thank you!!Salary and Other Compensation: The annual [salary/hourly rate] for this position is between [$150,000 - 160,000 annually].Factors which may affect pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate. Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: [medical insurance] [dental insurance] [vision insurance] [401(k) retirement plan] [long-term disability insurance] [short-term disability insurance] [personal days accrued each calendar year. The Paid time off benefits meet the paid sick and safe time laws that pertains to the City/ State] [12-15 days of paid vacation time] [6-8 weeks of paid parental leave after a year of service] [9 paid holidays and 2 floating holidays per calendar year][Ascendion Learning Management System] [Tuition Reimbursement Program. Want to change the world? Let us know. Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let’s talk!

We are seeking a Data Engineer with strong expertise in Microsoft Fabric, Power BI, Semantic Modeling, SQL, dimensional data modeling, and cloud data platforms. The role will focus on designing, building, and governing an enterprise semantic layer using Microsoft Fabric to support trusted, self-service reporting and analytics. The ideal candidate will have hands-on experience assessing data quality, table readiness, data grain, keys, relationships, and source-system structures for semantic modeling. The candidate will work closely with data domain teams and provide recommendations for modeling data from platforms such as Snowflake and Databricks. The role also involves developing and optimizing data pipelines, performing data exploration, and mentoring team members on semantic modeling and data engineering best practices. Primary Skills: Microsoft Fabric, Power BI, Semantic Modeling, SQL, Dimensional Modeling, Snowflake, Databricks, Data Pipelines Key Responsibilities Microsoft Fabric & Semantic Modeling • Design, build, and maintain semantic models using Microsoft Fabric and Power BI., • Work with OneLake and Power BI datasets to support enterprise reporting and self-service analytics., • Develop scalable and trusted enterprise semantic layers., • Define and implement semantic models, relationships, measures, and business logic., • Optimize semantic models for performance, usability, scalability, and business adoption., • Ensure semantic models are supported by reliable, high-quality underlying data. Data Readiness & Data Modeling • Partner with data domain teams to evaluate table readiness for semantic modeling., • Assess data quality, data grain, primary/foreign keys, relationships, and data structures., • Identify data gaps and communicate recommendations to source/data teams., • Apply star schema, dimensional modeling, snowflake schema, and data vault concepts., • Define conformed dimensions and reusable data structures for enterprise analytics., • Translate business and technical requirements into effective data and semantic models. Data Engineering & Pipelines • Develop and optimize data pipelines and transformations supporting the semantic layer., • Work with data from Snowflake and Databricks., • Perform data ingestion, transformation, integration, and preparation for downstream analytics., • Develop complex data engineering solutions using SQL, Python, DAX, Java, Scala, and/or Go., • Troubleshoot data pipeline and transformation issues., • Optimize data processing for performance, scalability, and reliability. Data Exploration & Analytics • Perform data wrangling, exploration, profiling, and discovery across heterogeneous data sources., • Analyze data structures to identify quality, relationship, and modeling issues., • Translate data findings into actionable semantic modeling recommendations., • Support business teams with trusted and easily consumable analytical data. Cloud & Data Platforms • Work with cloud data platforms including Azure, AWS, or Google Cloud., • Integrate and optimize data across Microsoft Fabric, Snowflake, and Databricks., • Apply cloud data engineering and architecture best practices., • Support scalable enterprise data and analytics environments. Data Governance & Observability • Apply data governance, cataloging, lineage, and data quality practices., • Support data discovery and traceability across enterprise data environments., • Work with data monitoring and observability tools such as Prometh Mentoring & Technical Leadership • Mentor team members on semantic modeling and data engineering best practices., • Conduct knowledge sharing and technical guidance., • Support the development of team capabilities in Microsoft Fabric, Power BI, data modeling, and data engineering., • Collaborate with architects, engineers, data domain teams, and business stakeholders. Project Planning & Delivery • Assist management with project definition, estimation, planning, and scope development., • Contribute to semantic layer initiatives from prototype through production., • Help identify technical dependencies, risks, and implementation requirements., • Own solutions and deliverables through the complete development lifecycle. Education Requirements • Bachelor's Degree in Computer Engineering, Computer Science, or a related field plus 5 years of related experience; OR, • Advanced Degree with 3 years of related experience., • Equivalent education and experience may be considered where applicable. ABOUT BRICKRED SYSTEMS BrickRed Systems is a global leader in next-generation technology consulting and workforce solutions, specializing in delivering high-quality talent across digital, engineering, marketing, analytics, finance, operations, and business transformation domains. With a strong emphasis on innovation, scalability, and client success, BrickRed Systems helps organizations solve complex business challenges by providing skilled professionals across strategy, technology, creative, and operational functions. BrickRed fosters a culture of continuous learning, collaboration, and excellence, enabling professionals to contribute to high-impact global initiatives while advancing their careers.

Full Stack Cloud Engineer (ITAR Program) Location: Seattle, WA (Hybrid ) Employment Type: Full-Time / Contract Client Environment: Aerospace, Defense, or Other Regulated Industry Position Overview We are seeking a highly skilled Full Stack Cloud Engineer to join our team in the Seattle, Washington area. This role will be responsible for designing, developing, and deploying scalable cloud-native applications and data integration solutions on AWS. The ideal candidate will bring strong expertise across backend development, frontend development, cloud architecture, DevOps, and modern software engineering practices. This position requires hands-on experience with AWS services, serverless technologies, data pipelines, CI/CD automation, and modern web application development using React and Node.js. Key Responsibilities • Design, develop, and maintain scalable cloud-native applications using Python or Java, Node.js, and React., • Architect and implement secure, highly available, and scalable solutions on AWS., • Develop and maintain serverless applications using AWS services., • Build and support data ingestion, transformation, and integration pipelines using AWS Glue and related technologies., • Design and optimize database solutions leveraging AWS Aurora., • Develop RESTful APIs and microservices to support enterprise applications., • Implement Infrastructure as Code (IaC) using Terraform., • Manage source control and CI/CD pipelines using GitLab., • Monitor, troubleshoot, and resolve production issues through log analysis and root cause investigation., • Participate in architecture reviews, code reviews, and technical design discussions., • Collaborate with business stakeholders, product owners, architects, and cross-functional teams to deliver high-quality solutions., • Follow secure coding standards and software development best practices. Required Technical Skills Backend Development • Strong proficiency in Python or Java, • Solid experience with Node.js, • Experience developing RESTful APIs and backend services, • Strong understanding of microservices architecture Frontend Development • Strong hands-on experience with React, • Experience building responsive and modern web applications, • Knowledge of frontend optimization and performance tuning Cloud Technologies • Deep understanding of AWS Services, • Experience designing cloud-native applications, • Experience with Serverless Architecture, • Hands-on experience with AWS Glue, • Experience with AWS Aurora, • Strong knowledge of cloud security principles DevOps & Automation • Experience with Terraform, • Strong knowledge of GitLab, • Experience creating and maintaining CI/CD pipelines, • Familiarity with automated testing frameworks and deployment automation Preferred Qualifications • Experience with Kiro or other AI-assisted software development platforms, • Experience with event-driven architectures, • Knowledge of distributed systems and scalable application design, • Experience with observability, monitoring, and logging platforms, • Familiarity with containerization technologies such as Docker and Kubernetes, • Experience working in Agile/Scrum environments Additional Skills • Strong debugging and troubleshooting capabilities, • Excellent analytical and problem-solving skills, • Strong verbal and written communication skills, • Ability to collaborate effectively within global teams, • Ability to work in a fast-paced engineering environment Education • Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or a related field, • Equivalent work experience may be considered ITAR / Export Control Requirements This position supports projects that may be subject to U.S. export control regulations, including the International Traffic in Arms Regulations (ITAR) and/or the Export Administration Regulations (EAR). In compliance with federal regulations, applicants must be able to meet the applicable export control requirements. Individuals eligible under ITAR/EAR regulations may include: • U.S. Citizens, • U.S. Permanent Residents (Green Card Holders), • Individuals otherwise authorized to access export-controlled information pursuant to applicable U.S. regulations Location Requirement • Must be able to work onsite in Seattle, Washington, • Local candidates preferred, • Relocation assistance may be considered for highly qualified candidates Pay and Benefits Pay Range Minimum: $ 78000 per year Pay Range Maximum: $ 115000 per year HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to for investigation. A candidate s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year How You ll Grow At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n \n ABOUT THE TEAM\n \n \nThe Tactical Recon & Strike team at Anduril develops aerial small drones (Group 1-3) and all equipment to test, deploy and operate. The team is responsible for taking products like Ghost, Anvil, Bolt and Altius from concepts to operational systems. We work in close coordination with specialist teams to solve some of the hardest problems facing our customers. We are looking for software engineers, hardware engineers, roboticists, and front-end mobile developers who are excited about creating a powerful robotics platform that can be tasked and viewed in real-time through a variety of interfaces.\n \n \nWithin TRS, our GNC team is at the forefront of tackling the most challenging navigation problems, specializing in the ground-up development of resilient GPS-denied navigation solutions that empower our autonomous platforms to operate reliably in the most demanding, contested environments. We are a vertically integrated team, taking concepts from ideation to software loaded on a vehicle and into flight testing in the same week, sometimes even the same day.\n ABOUT THE JOB\n \n \nThis is a senior role for an Algorithm Developer (Localization/GNC) who thrives on building cutting-edge technology from scratch and seeing their creations immediately deployed in the field. You will be a central architect in shaping Anduril's technical moat in GPS-denied navigation, driving the development of core vision-based navigation (VBN) and advanced sensor fusion algorithms. While core techniques like VBN and Terrain Contour Matching (TERCOM) exist, your role will involve pioneering novel approaches and advanced fusion methodologies that push their performance boundaries.\n \nYou will apply algorithmic creativity to explore and develop a diverse suite of advanced navigation solutions, including:\n \n\n • Robust vision-based navigation\n, • Advanced map matching algorithms\n, • Terrain contour matching (TERCOM)\n, • Celestial navigation\n, • High-fidelity state estimation using various Kalman filter types (Error-State, Invariant Filters)\n, • Fusion of diverse sensor modalities (IMU, EO/IR, Baro, ToF, Radar Altimeter, Star Trackers)\n\n \nYou'll contribute directly to building capabilities that include collaborative navigation, precision landing on moving or maritime vessels, and developing a common, resilient navigation stack for platforms ranging from submarines and helicopters to boats and trucks. Join a close, collaborative team where your insights will directly translate into software loaded on vehicles, with rapid flight testing opportunities across diverse, exciting test sites - from captive flights on various vehicles to remote, cool locations. If you're passionate about making an immediate, tangible impact on national security by developing the most advanced navigation solutions for contested environments, this is your opportunity.\n WHAT YOU'LL DO\n \n\n • Design, implement, and rigorously validate advanced GPS-denied navigation algorithms, including Vision-Based Navigation (VBN), advanced Map Matching, and high-fidelity sensor fusion for state estimation.\n, • Drive ground-up algorithm development from theoretical concepts through high-fidelity simulation, Hardware-in-the-Loop (HIL) testing, and rapid flight validation on multiple physical hardware platforms.\n, • Collaborate intimately with Computer Vision, Flight Software, and Simulation teams to define requirements, integrate solutions, and push the boundaries of autonomous navigation in contested environments.\n, • Analyze extensive flight test data from diverse platforms (e.g., Altius, Ghost, manned aircraft) collected across varied, challenging environments to identify performance gaps, refine algorithms, and debug complex incidents.\n, • Contribute strategically to the growth of Anduril's technical moat in navigation, including areas like collaborative navigation and precise terminal guidance for challenging operational scenarios.\n, • Mentor junior engineers and champion best practices in algorithm design, validation, and continuous integration within a fast-paced, high-impact environment.\nREQUIRED QUALIFICATIONS\n \n\n • Bachelor's degree in Robotics, Aerospace Engineering, Electrical Engineering, Computer Science, Physics, or a related technical field with a strong focus on dynamic systems, estimation, or control.\n, • 8+ years of professional experience in GNC, localization, or advanced state estimation roles, preferably in demanding real-world applications (e.g., defense, aerospace, robotics).\n, • Deep expertise in state estimation and sensor fusion, particularly with various Kalman filter types (e.g., EKF, ES-EKF, UKF, Invariant Filters) and their practical implementation.\n, • Proficiency in C++ (preferred) and/or Python for algorithm development and real-time embedded systems implementation.\n, • Extensive experience with vision-based navigation (VBN) techniques (e.g., VIO, VSLAM, feature tracking, optical flow) or robust map matching/geo-registration algorithms.\n, • Proven ability to develop, test, and debug algorithms in real-time embedded environments on physical hardware.\n, • Experience with modeling and simulation of dynamic systems and sensor phenomenology.\n, • Eligible to obtain and maintain an active U.S. Secret security clearance.\nPREFERRED QUALIFICATIONS\n \n\n • Master's Degree or PhD in a relevant technical field.\n, • Experience with terrain contour matching (TERCOM) or other non-GPS absolute localization methods utilizing diverse sensor inputs (e.g., LRF, Radar Altimeters, Star Trackers/Celestial Navigation).\n, • Familiarity with diverse sensor modalities for navigation (e.g., IMU, Baro, LRF, Radar Altimeters, EO/IR) and their specific noise characteristics and modeling.\n, • Experience with distributed or collaborative navigation systems, leveraging inter-platform measurements.\n, • Track record of successfully bringing complex algorithms from theoretical concepts through to deployed products on physical hardware.\n, • Proficiency with modern software development practices (e.g., CI/CD, Git, automated testing frameworks).\n, • Demonstrated ability to "wear many hats" and thrive in a fast-paced, high-impact, and highly collaborative startup environment.\n\n \n \nUS Salary Range\n \n \n$166,000-$220,000 USD\n \n \nThe salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: \n \n Benefits\n \n \nAt Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you're supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits.\n \n Protecting Yourself from Recruitment Scams\n \n \nAnduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.\n \n \nTo ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:\n \n\n • No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.\n, • Please always verify communications:\n \n, • Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.\n, • Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to [email protected].\n \n, • Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.\n, • What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to [email protected]. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.\n\n \n Data Privacy\n \n \nTo view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/. \n \n \nBy submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.

Computer Vision Engineer Location: Bellevue, WA. Onsite Job Type: Full-time Hands on Python coding experience is required. we seek candidate from industrial automation sensors PLCs Jetson/edge computing yolo Anomalies CNN Py Torch/YOLO PLC In this role, you’ll work across Computer Vision, IIoT, Robotics, Hardware, Software, Controls, and Industrial Automation to develop next-generation solutions for fulfillment and material-handling systems. What You’ll Work On • Lead complex, cross-functional engineering projects from concept to deployment., • Design and develop computer vision solutions for industrial and fulfillment environments., • Build and configure IIoT hardware, sensors, cameras, and edge-computing systems., • Develop and deploy YOLO/CNN-based computer vision models, including training, fine-tuning, and optimization., • Deploy vision models on edge devices such as NVIDIA Jetson, Raspberry Pi, and CPU/GPU platforms., • Build end-to-end vision pipelines using Python and Linux., • Work with real-time data, PLC-connected sensors, and industrial systems., • Integrate computer vision outputs with APIs, dashboards, and UI applications., • Collaborate with scientists on simulation and “what-if” analysis to optimize hardware and system designs., • Work with engineering teams, vendors, and suppliers to develop innovative solutions., • Create technical documentation including prototypes, schematics, specifications, test plans, and engineering standards., • Drive projects involving equipment design, material flow, process optimization, ergonomics, and operator experience. Key Skills • Strong Python and Linux skills, • Hands-on Computer Vision / Deep Learning, • Experience with YOLO, CNNs, model training & fine-tuning, • Experience deploying models on edge devices, • Knowledge of cameras, sensors, and IIoT, • Experience with industrial environments, PLCs, and real-time systems, • Familiarity with Amazon SageMaker, • Strong system integration and troubleshooting skills, • Excellent project management and communication skills, • Ability to work in fast-paced, ambiguous, and cross-functional environments Role Expectations • Approximately 30% travel across USA, • Collaboration with engineering, science, operations, and external partners, • Ability to work from a corporate office when not traveling, • Candidates should be willing to relocate within a reasonable commuting distance If you’re passionate about Computer Vision + AI + Edge Computing + Industrial Automation and want to work on large-scale physical systems, this could be an exciting opportunity. Come help us build the future of fulfillment! 🚀 #Hiring #ComputerVision #AI #MachineLearning #DeepLearning #Python #YOLO #IIoT #EdgeAI #Robotics #IndustrialAutomation #ComputerVisionEngineer #EngineeringJobs #TechJobs

We are seeking a highly experienced Senior Staff Forward Deployment Engineer to embed with internal teams and external customers, understand business workflows, pain points, and goals, and design, build, and deploy production-quality technology solutions that address concrete business problems. This is a highly technical, senior-level role requiring a combination of Product Management, Technical Program Management, Software Engineering, Data Product, Stakeholder Management, and Customer-Facing Solution Delivery expertise. The ideal candidate will have experience delivering large-scale data and technology initiatives across complex, operationally intensive environments. The role requires someone who can operate effectively in ambiguity, bring structure to evolving requirements, manage multiple dependencies, communicate with executives and technical teams, and drive solutions from prototype through production deployment. The successful candidate will work across AI/GenAI, data, software platforms, integrations, and automation, rapidly prototype solutions, validate them with users, and transition successful concepts into reliable and scalable production applications. KEY RESPONSIBILITIES Forward Deployment & Solution Development • Embed with internal teams and external customers to understand business workflows, pain points, requirements, goals, and operational challenges., • Design and deploy technology, data, AI/GenAI, software, integration, and automation solutions aligned with customer and business needs., • Develop production-quality code, integrations, applications, automations, and software components., • Create rapid prototypes, proof-of-concepts (POCs), and solution demonstrations, iterate based on direct user feedback, and transition successful solutions into scalable production environments., • Select appropriate technical options, including reusing, improving, reconfiguring, or developing new components and solutions., • Apply appropriate design patterns, development standards, templates, and reusable solutions to optimize application development, maintenance, performance, cost, and quality., • Interpret application, feature, component, and technical designs and develop solutions in accordance with specifications., • Code, debug, test, document, and communicate product/component/feature development throughout the SDLC., • Advise Software Developers on application design, development, technical implementation, and the business problem being solved., • Contribute to HLD, LLD, SAD, architecture, application features, business components, and data models., • Build and maintain solutions that improve customer satisfaction, operational efficiency, scalability, and business outcomes. Data & Technology Program Management • Lead and manage large-scale data and technology initiatives across multiple stakeholders, systems, teams, dependencies, and workstreams., • Manage delivery of modules, features, user stories, applications, and data products., • Establish structure, clarity, priorities, timelines, dependencies, risks, and execution plans in ambiguous and rapidly changing environments., • Manage project schedules, milestones, deliverables, resources, risks, dependencies, and technical challenges., • Provide input into effort estimation, resource requirements, development timelines, and project planning., • Identify technical and project risks and make timely decisions to maintain delivery momentum., • Drive execution across both business and technical teams while maintaining ownership of outcomes., • Optimize solutions for efficiency, cost, quality, reliability, and performance. Testing, Quality & Defect Management • Create and review unit test cases, test scenarios, test plans, and test results., • Evaluate test results against product specifications and expected business outcomes., • Validate solutions in customer and target environments., • Work with testing teams to provide requirements clarification and technical guidance., • Perform defect root-cause analysis (RCA) and mitigation., • Identify defect trends and proactively implement measures to improve software quality and production stability., • Monitor and reduce defects during development and after production delivery., • Ensure adherence to coding standards, engineering processes, development templates, checklists, and quality standards., • Review code for team members and peers. Customer & Stakeholder Management • Serve as a trusted technical partner to internal teams, external customers, business stakeholders, technical teams, and senior executives., • Clarify business and technical requirements and provide guidance to development teams., • Present technical designs, solution options, prototypes, architecture decisions, and recommendations to customers and senior stakeholders., • Conduct product demonstrations, solution walkthroughs, and customer presentations., • Lead customer conference calls and address technical, product, and delivery questions., • Translate complex technical concepts into clear communication for executive, business, and technical audiences., • Build customer confidence through high-quality, on-time delivery and proactive communication., • Influence customer satisfaction by understanding domain requirements and identifying opportunities to deliver additional value., • Interface with other teams, designers, engineering groups, technical practices, and parallel workstreams. Release & Configuration Management • Execute and monitor software/application release processes., • Define and govern configuration management plans., • Ensure development teams comply with configuration management, engineering, and project standards., • Support deployment, commissioning, release readiness, and production stabilization., • Validate and integrate the overall solution before customer deployment. Documentation & Knowledge Management • Create and review design documentation, requirements documentation, technical specifications, test cases, test results, templates, checklists, guidelines, and development standards., • Maintain project-related documentation, reusable assets, process documentation, and knowledge repositories., • Contribute reusable documentation and best practices for future programs., • Review reusable documents created by project teams and ensure consistency with established standards., • Consume and contribute to SharePoint, project libraries, internal knowledge repositories, and client learning resources., • Document technical decisions, lessons learned, solution approaches, and implementation requirements. Team Leadership • Manage and coordinate technical teams and project resources as required., • Set FAST goals for self and team members., • Provide coaching, feedback, guidance, and development opportunities to team members., • Understand team-member aspirations and provide appropriate support and opportunities., • Maintain team engagement, motivation, and positive team dynamics., • Promote collaboration across engineering, product, data, design, and business teams. Domain & Business Partnership • Develop a deep understanding of the customer domain and business sub-domain in which solutions are being delivered., • Identify opportunities where technology, data, AI/GenAI, automation, or software can provide additional customer value., • Advise technical teams based on a strong understanding of the business problem, operational workflow, and customer requirements., • Quickly learn new business, technical, organizational, and domain concepts and apply them effectively., • Complete relevant domain and technology certifications as required. REQUIRED QUALIFICATIONS • Experience in a Product Manager, Technical Program Manager, Senior Technical Product, Data Product, Forward Deployment, or technology leadership capacity., • Experience managing large-scale Data or technology initiatives involving multiple stakeholders, systems, dependencies, and workstreams., • Strong Stakeholder Management experience across business, technical, executive, and customer-facing teams., • Experience delivering Data or technology solutions for frontline or operationally intensive business units, preferably Retail, Care, or similar environments., • Strong ability to operate in ambiguity, establish structure, clarify requirements, and drive execution., • Proven ability to manage multiple priorities, dependencies, risks, timelines, and technical challenges under pressure., • Strong executive communication and presentation skills, with the ability to tailor messaging for senior leaders, technical teams, customers, and business audiences., • Strong analytical and problem-solving abilities., • Experience with software development lifecycle (SDLC) and Agile delivery methodologies., • Strong understanding of application development, software components, data models, DBMS, operating systems, software platforms, and technical architecture., • Ability to interpret technical designs and contribute to HLD, LLD, SAD, architecture, and data-model development., • Experience with coding, debugging, testing, documentation, code reviews, and production-quality software development., • Experience creating and reviewing unit tests, test scenarios, test plans, and test results., • Experience with defect management, root-cause analysis, mitigation, and quality improvement., • Experience managing user stories, modules, features, technical deliverables, project schedules, and releases., • Ability to estimate time, effort, resources, and technical development requirements., • Strong customer-facing experience, including requirements clarification, technical presentations, product demonstrations, and solution discussions., • Ability to make quick and sound technical/project decisions in high-pressure environments., • Strong learning agility and ability to quickly understand new business, technical, organizational, and customer concepts., • Ability to work effectively across engineering, product, data, design, and business teams., • Strong written and verbal communication skills., • Ability to work independently while maintaining strong alignment with stakeholders and project objectives. MANDATORY QUALIFICATIONS • FAANG / Product Company Experience: Required, • Product Manager Experience: Required, • Stakeholder Management: Required, • Large-Scale Data Initiatives: Required, • Backlog Management: Required, • Location: Bellevue, WA or any T-Mobile office, • Prior UST Experience: No PREFERRED QUALIFICATIONS • Post-graduate degree in Computer Science, Information Technology, Engineering, Data, or a related technical field., • Experience with large retail, customer-facing, frontline, or operationally intensive organizations., • Experience delivering Data Products, Data Platforms, Analytics, AI/GenAI, automation, or technology applications., • Experience supporting Retail, Care, Supply Chain, Operations, or other frontline business environments., • Strong background in Data Product Management, Technical Program Management, Software Engineering, or Forward Deployment Engineering., • Experience managing large-scale transformation and technology programs across multiple teams and systems., • Experience with Agile/Scrum or Kanban methodologies., • Experience with rapid application development (RAD), prototyping, POCs, integrations, and automation., • Experience with technical architecture, application design, data modeling, DBMS, APIs/interfaces, and software development platforms., • Experience with customer-facing technology deployments and production commissioning., • Experience working directly with executives and senior business leaders., • Experience operating in high-pressure, fast-moving, ambiguous environments., • Strong ability to communicate complex technical concepts through technical presentations, executive communications, product demos, and customer discussions. TECHNICAL & KNOWLEDGE AREAS Software & Application Development: Application Development, Software Components, Production Code, Coding Standards, Debugging, Code Reviews, Design Patterns, Reusable Components, SDLC Data & Analytics: Large-Scale Data Initiatives, Data Products, Data Models, DBMS, Data Platforms, Data Applications, Data Transformation AI & Automation: AI, GenAI, Automation, Rapid Prototyping, Proof-of-Concept Development, Integrations Architecture & Design: HLD, LLD, SAD, Technical Architecture, Application Design, Feature Design, Component Design, Business Components, Data Modeling Agile & Delivery: Agile, Scrum, Kanban, User Stories, Backlog Management, Project Management, Release Management, Configuration Management Testing & Quality: Unit Testing, Test Cases, Test Scenarios, Test Plans, Test Results, QA, Defect Management, RCA, Quality Assurance Customer & Stakeholder Management: Executive Communication, Customer Engagement, Requirements Gathering, Technical Presentations, Product Demonstrations, Stakeholder Management, Cross-Functional Collaboration Project & Team Management: Estimation, Resource Planning, Dependency Management, Risk Management, Team Leadership, FAST Goals, Coaching, Performance Feedback PERFORMANCE EXPECTATIONS • Adherence to engineering processes, coding standards, templates, and development checklists., • Adherence to project schedules, milestones, and delivery timelines., • Reduction in technical issues identified during project execution., • Reduction in code defects and post-production defects., • Compliance with required engineering, security, and organizational standards., • Timely completion of required compliance and domain/technology training., • Successful delivery of high-quality solutions within agreed scope, timeline, cost, and quality expectations., • Strong customer satisfaction and stakeholder confidence. ABOUT BRICKRED SYSTEMS BrickRed Systems is a global leader in next-generation technology consulting and workforce solutions, specializing in delivering high-quality talent across digital, engineering, data, AI, analytics, product, finance, operations, and business transformation domains. With a strong emphasis on innovation, scalability, technology excellence, and client success, BrickRed Systems helps organizations solve complex business challenges by providing skilled professionals across strategy, technology, engineering, product, data, and operational functions. BrickRed Systems fosters a culture of continuous learning, collaboration, ownership, and excellence, enabling professionals to contribute to high-impact global technology initiatives while advancing their careers. Through its technology consulting and workforce solutions, BrickRed connects specialized professionals with organizations seeking expertise in software engineering, data products, AI/GenAI, product management, technical program management, cloud, analytics, and digital transformation

About the Role We are looking for a Senior Data Scientist - Experimentation & Causal Inference to serve as the statistical brain behind our rapidly growing experimentation program. You will own the methodology layer that ensures every experiment we run is trustworthy, sensitive, and correctly interpreted. You will NOT be building infrastructure or writing backend services — our platform engineering team handles that. Your job is to design, validate, and continuously improve the statistical frameworks that sit on top of the platform. You will be the person the team turns to when they ask "Can we trust this result?" — and you will build the automated systems that answer that question before anyone needs to ask. Team context: You will join a team of data scientists and platform engineers within the Big Data group, reporting to the Head of Big Data. The experimentation platform engineering team implements your specifications into production systems. Responsibility Guardrail Metrics & SRM Detection • Design and maintain automated anomaly detection for live experiments — including Sample Ratio Mismatch (SRM) checks and traffic split validation., • Define alerting thresholds and circuit-breaking criteria so compromised experiments are flagged or stopped before polluting decisions., • Define and validate guardrail metrics (sensitivity, directionality, interpretability) that protect the business during every experiment. Variance Reduction & Sensitivity • Implement and iterate on CUPED and related pre-experiment covariate adjustment methods to reduce metric variance., • Develop techniques to remove noise from user historical behavior, enabling faster detection of true treatment effects — especially in limited-traffic or high-priority scenarios., • Example of impact we are targeting: Shorten average experiment duration from 14 days to 9 days, unlocking 40%+ more experiments per quarter. Continuous A/A Experiment Monitoring • Design and run continuous A/A experiments as an always-on health check for the data pipeline (from client-side event reporting through message queues to the real-time data warehouse)., • Monitor metric baseline volatility and pipeline stability, ensuring the instrumentation layer remains trustworthy over time. You define what "healthy" looks like; the platform team implements the monitoring infrastructure. Other responsibilities • Partner with product, engineering, and growth teams on experiment design: sample size calculations, metric selection, duration estimation, and result interpretation. Advise on causal inference methods (DID, synthetic control, RDD) when randomization is not feasible., • Translate your methods into specifications, validation scripts, and decision frameworks that the team can operationalize — enabling experiment owners to self-serve while maintaining rigor. Requirements • Education: MS or PhD in Statistics, Biostatistics, Economics (Econometrics), Computer Science, or a related quantitative field., • Experience: 3+ years of industry experience designing and analyzing online controlled experiments at a tech company with meaningful user scale (not exclusively survey experiments or clinical trials)., • Core Statistical Knowledge: Solid foundations in hypothesis testing, power analysis, multiple testing correction, and sequential testing. Hands-on experience with at least two of: variance reduction methods (CUPED or similar), sample ratio mismatch detection, or continuous data quality monitoring for experiments., • Programming: Proficient in Python (scipy, statsmodels, or equivalent) for statistical analysis and simulation. Comfortable writing complex SQL (window functions, CTEs) for data extraction and validation., • Communication & Collaboration: Ability to explain complex statistical concepts to non-technical stakeholders, translate business questions into rigorous experimental designs, and define clear specifications so engineers can implement your methods in production., • AI-Native Workflow: Strong AI Sense — extensive hands-on experience with AI coding tools (Claude Code, OpenClaw, or similar). Demonstrated ability to leverage AI assistants to automate repetitive analytical tasks, accelerate code development, and build self-serve tooling faster. You treat AI tools as a daily productivity multiplier, not a novelty. Nice-to-Haves • Familiarity with Bayesian experimentation frameworks or multi-armed bandit approaches., • Understanding of real-time streaming data pipelines (Kafka, Flink) — not as an engineer, but how data flow affects statistical validity., • Publications or conference presentations on experimentation methodology or causal inference (KDD, WSDM, CIKM, NeurIPS CausalML workshop, or equivalent)., • Experience in fintech, crypto, or high-frequency trading domains where user behavior has high variance and fast-moving baselines.

Do you want to work on leading edge technology? Are you ready to build products that revolutionize history? Do you want to help our Department of Defense (DoD) service men and women that risk their lives for our safety? At Intrinsic you will! We are a modern software development company creating new product solutions across industries. We build the latest web applications, cloud microservice architectures, and modern simulation technology applications. Send us your info and let us discuss the opportunity! Job Description: Intrinsic is looking for a skilled and self-motivated Technical Project Manager that lives and breathes Agile Scrum. As technical product owner across the Sky product suite, you’ll join a highly talented software team in building modern web applications, machine learning models, and containerized edge solutions for the Aerospace industry. Specifically, clients will use our technology to more seamlessly perform their jobs. You will join a product team and work closely with capable, talented software engineers and end users. This is a significant opportunity to implement a product suite from the ground up. As a team member, you will: • Define technical requirements from client feature requests, • Develop detailed technical product backlog while refining and continuously and prioritizing the backlog, • Manage team agile events and contribute to unblocking software tickets, • Work closely with the Intrinsic Product Director and Chief Technology Officer, • Lead an experienced delivery team of modern M&S engineers in an Agile setting, • Leverage Intrinsic's modeling and simulation expertise to create exciting features and products for our customers that make a difference, • Design, build, and deliver a new product to an emerging marketspace, • Work on a dynamic, adaptable, and high performing team, • Dive in and rapidly grow your skills with the latest technology Minimum qualifications: • A DoD Secret or Top Secret clearance is preferred for this position, • Bachelor's degree in an Engineering discipline, similar technical degree field, or equivalent practical experience, • Experience mentoring, coaching, and developing rising talent in software technology, • Excellent time management and organizational skills, • A keen sense of personal accountability regarding decision-making and supervising teams, • Experience working in a high-level collaborative environment and promoting a teamwork mentality, • Experience leading team building and deploying production code, • Knowledge of web application and microservice architectures, • Software development leadership experience with one or more general purpose programming languages, including but not limited to: C/C++, C#, Objective C, Python, JavaScript, or Go, • Familiar with Git in a team environment, • Experience working with one or more of the following: web application development, DevSecOps product development, distributed and parallel systems, information retrieval, developing new software applications, and/or secure software development, • US Citizenship Preferred qualifications: • Master's degree in Computer Science, or similar degree field, • Agile scrum certifications, • Experience building and shipping products, • 2+ years of relevant experience in software development using Kubernetes, Docker, and containerization strategies, • 5+ years of software development experience, with emphasis on backend application development, • 3+ years experience with modeling and simulation software, • 3+ years web application, API-driven, service-oriented architecture experience, • Experience working with Agile, Lean and/or Continuous Delivery approaches and best practices, such as Extreme Programming (XP), • Interest and ability to learn emerging technologies as needed, • About Intrinsic:, • We are a technology services and product development company creating cloud-based solutions. Check us out: https://www.intrinsic.ventures Our Expertise: Building Applications with Cloud Computing, Artificial Intelligence, Remote Storage and Chat Messaging Services Delivering Enterprise Level Solutions on a Corporate Scale Solving complex business challenges with leading edge technology platforms is what we do, and our team has unique experience in what makes them work effectively

Our team builds the developer tooling, platforms, systems and experiences that power Cloud AI Platform. In this role you will partner directly with internal customers to understand their use cases, evaluate technical requirements, and build AI-driven systems and solutions that leverage Cloud AI Platform capabilities. You will prototype quickly, harden solutions for production, build services and feed insights back to platform teams to influence roadmap and improve the developer experience. You will also act as a bridge between product management, partner platform, and customer teams by helping define best practices, documenting patterns, and working closely with platform engineering groups to drive alignment and deliver systems. Success in this role requires a combination of strong engineering fundamentals, applied ML awareness, platform thinking, customer empathy, and the ability to deliver in fast-evolving environments. Requirements: • 3-5+ years of professional software engineering experience, • Strong Python - production services, not just scripting, • Demonstrated experience designing and operating microservice architectures (service boundaries, inter-service communication, failure handling), • Practical REST API design experience: resource modeling, contracts, versioning, error semantics, backward compatibility, • Production React experience - component architecture, state management, and integrating against REST backends, • Hands-on Splunk experience: writing searches, building dashboards, using logs to drive root cause analysis, • Operations and maintenance experience on live systems: deployments, observability, performance tuning, incident response, • Experience building Claude skills or agent workflows (Claude Code skills, MCP servers, or comparable LLM tooling), with a clear sense of what makes an agent workflow reliable, • Proven ability to self-direct and troubleshoot independently with minimal handholding, • BS, MS in Computer Science, Software Engineering, Machine Learning, or equivalent degree with applicable experience Responsibilities: • Partner directly with internal product teams to understand AI/ML use cases and translate requirements into technical solutions., • Build production-ready services, integrations, workflows, and developer tooling on top of Cloud AI Platform., • Prototype solutions rapidly, validate approaches with customers, and harden successful prototypes for production., • Identify recurring customer needs and translate them into reusable platform capabilities and tooling., • Collaborate with platform teams to improve APIs, SDKs, workflows, documentation, and developer experience. We offer: • Opportunity to work on cutting-edge projects, • Work with a highly motivated and dedicated team, • Competitive salary, • Flexible schedule, • Benefits package - medical insurance, vision, dental, etc., • Corporate social events, • Professional development opportunities, • Well-equipped office About us: Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in , supported by profound expertise and ongoing investment in , , , and . Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

About the Company Relevance Lab is an IP-led technology services firm delivering cloud, data & AI, product engineering, and automation solutions, anchored by four proprietary platforms — Research Gateway (self-service research cloud portals), RLCatalyst (AI operations and intelligent automation), SPECTRA (AI-driven analytics), and ServiceOne (cloud migration and service delivery). An AWS Advanced Tier Partner and ISO 9001 & 27001 certified organization, the company has repositioned around GenAI-led delivery, with 30+ GenAI copilots in production and 200+ cloud and data implementations. About the Role Role: IT Sales - Director Location: Flexible across US. Seattle (U.S.) Preferred. Qualifications • Bachelor's degree (Preferred - Engineering in computer science or IT), • 10+ years of hands-on Sales/Business Development experience, • Strong focus on new business acquisition, • Needs to have experience selling in application development software services side, • Cross Industry and Information Technology offerings experience, • Ideally has pan US geographic networks, • Track record of bringing in $1.5M+ annually, • Proven experience in meeting new business order books and revenue goals, • Hands on leader with the ability to get into the weeds when needed, • Ability to drive sales and close deals independently., • Experience in end-to-end sales cycle including lead gen and pre-sales, • Some experience with delivery is preferred, • Willing to travel when necessary Required Skills We are looking for passionate sales leaders who are driven by results. This role will be work closely with senior leaders/partners of the firm. It’s a high-visibility role and the ideal candidate is someone who is excited to be part of a high growth journey. Preferred Skills None specified. Pay range and compensation package • Lucrative Base Salary for demonstrated candidates, • On target generous Incentive and Commission Plan, • High growth trajectory Equal Opportunity Statement Relevance Lab is committed to diversity and inclusivity in the workplace.

Talis Consulting Group has been retained to recruit a Software Development Manager for one of the fastest-growing retailers in tabletop gaming. Founded in the late ’90s out of the owner’s garage, the company has grown into a global success story, with 400+ employees and more than $130M in annual revenue. Beyond its record-breaking eCommerce business, the company is also redefining the brick-and-mortar game store experience, with a national expansion underway. Role We're looking for a Software Development Manager to lead our eCommerce engineering team and own the customer-facing storefront end to end, including catalog, search, cart, checkout, account management, and buying and selling experiences. You'll build great teams and great software as a player/coach who combines technical depth, delivery leadership, and people management. Your team is full-stack with a front-end heart. Our platform includes PHP/Laravel services, MySQL, and Elasticsearch, supported by modern JavaScript/TypeScript front ends. We care deeply about polished, responsive, accessible experiences that perform across every device. Site speed, SEO, and a frictionless path from search to checkout are business outcomes, not afterthoughts. You'll stay close to the work by reviewing designs, pairing on complex problems, investigating production issues, and occasionally writing code — always with the goal of teaching and raising the bar. You'll partner closely with Principal Engineers, who establish technical direction, while ensuring consistency and alignment across the team's solutions. Above all, you'll own predictable delivery against the roadmap: taking large, ambiguous initiatives, breaking them into incrementally shippable pieces, driving realistic estimation, and leading your team to deliver reliably quarter after quarter. Key Responsibilities Technical Leadership & Stewardship • Bring senior-level engineering depth to evaluate designs, challenge architecture, and ensure sound technical decisions while partnering with Principal Engineers on technical direction., • Establish consistent engineering patterns, conventions, and practices across your team, including contractors and vendors., • Maintain a high bar for customer experience, including performance, responsiveness, accessibility (WCAG), and SEO., • Champion the effective and responsible use of approved generative AI tools for software development and help evolve team standards as those tools mature. Operational Ownership • Own the operational health of live, business-critical systems through a "you build it, you run it" model, in partnership with DevOps., • Establish on-call practices, ensure the team can effectively support what it builds, and lead incident response and blameless postmortems., • Balance reliability and operational demands with feature delivery, recognizing that downtime and poor performance directly impact the business. Delivery & Predictable Execution • Provide leadership with honest, range-based estimates and refine forecasts using real delivery data., • Break large, ambiguous initiatives — including multi-year programs — into incrementally shippable capabilities with clear milestones and acceptance criteria., • Build a culture of accountability where engineers estimate under uncertainty, own commitments, and follow through., • Work within quarterly planning, long-term roadmap, and Scrum processes while surfacing risks and slippage early and re-planning transparently. People Leadership & Talent • Coach and mentor engineers across the career ladder, creating clear and actionable growth paths., • Lead and develop senior technical talent with the maturity to support their growth and advocacy while respecting their technical expertise., • Own hiring, onboarding, feedback, performance management, and compensation decisions in partnership with the VP of Engineering., • Lead contractors and vendors to the same standards of quality, accountability, and sustainable execution as internal team members. Business & Cross-Functional Partnership • Partner with Product, Design, and business stakeholders to provide reliable feasibility, estimation, sequencing, and technical input into the roadmap., • Translate business goals into technical execution while clearly communicating cost, risk, and trade-offs., • Collaborate with peer engineering teams across warehouse, ERP, customer service, robotics, inventory, orders, and fulfillment systems. Qualifications • 10+ years building software, including 3+ years at a senior individual-contributor level, with the technical depth to coach engineers through the senior level., • 3–5+ years managing and developing software engineering teams, including the ability to lead engineers with greater technical specialization., • Strong eCommerce experience building and operating customer-facing systems such as catalog, search, cart, checkout, accounts, inventory, and fulfillment., • Demonstrated success breaking down large, ambiguous programs and delivering them predictably against a roadmap., • Experience estimating and forecasting work using ranges, assumptions, and real delivery data., • Hands-on experience with generative AI tools for software development and enabling teams to use them responsibly., • Experience operating business-critical production systems, including on-call, incident response, and postmortems, in partnership with DevOps or platform teams., • Strong knowledge of software architecture, modern design patterns, API design, distributed systems, and secure development practices., • Strong knowledge of modern web technologies. Our stack includes PHP/Laravel, MySQL, NGINX, Elasticsearch, and modern JavaScript/TypeScript front ends; comparable experience translates well., • Enough front-end fluency to maintain a high bar for responsive, performant, accessible, and SEO-friendly experiences., • Excellent communication and collaboration skills across technical and non-technical stakeholders., • Bachelor's degree in Computer Science or a related discipline, or equivalent professional experience. Nice to Have • Experience with search, discovery, personalization, or recommendation systems at eCommerce scale., • Familiarity with AWS and application security practices such as OWASP. Salary • Full-time position, • $190,000–$210,000, depending on qualifications and experience Benefits • Paid Time Off: 6 weeks accrued per year, plus 8 company holidays, • Health Benefits: Zero-cost premium options for medical, dental, and vision insurance, • Retirement: 401(k) with a 4% Safe Harbor match and no vesting period, • Flexible Spending Accounts & Health Savings Accounts, • Pre-Tax Commuter Benefits, • Supplemental Life & AD&D Insurance, • Accident, Critical Illness & Hospital Confinement Plans, • Employee Assistance Program, • Employee Discount

Primary Skills: CUDA programming (advanced), Triton optimization (advanced), Profiling tools (advanced), Debugging kernels (advanced), Performance tuning (advanced) Contract Type: W2 Duration: 3+ months with possible extension or conversion Location: Bellevue, WA () Pay Range: $85.00 - $90.00 Per hour on W2 #LP Job Summary: This role involves the low-level development and optimization of compute kernels for AI accelerator hardware. You will ensure training environments accurately mirror real-world kernel engineering challenges by writing, debugging, and optimizing operators. A key aspect of this position is using profiling tools and accelerator programming interfaces to validate task realism and define solution quality. Key Responsibilities: • Develop and optimize custom compute kernels for AI accelerators., • Validate training environment tasks for realistic kernel development scenarios., • Debug and profile kernel code to identify and resolve performance issues., • Analyze kernel performance against hardware constraints and memory hierarchy., • Consult with training environment development teams on task realism and quality.Must-Have Skills:, • Computer Science, Computer Engineering, Electrical Engineering, or equivalent technical degree and 7+ years of relevant experience is required., • Direct experience with AWS Trainium/Inferentia and the Neuron Kernel Interface (NKI) and Hands-on proficiency with a low-level kernel programming language such as CUDA, Triton, or the AWS Neuron Kernel Interface (NKI)., • Familiarity with the Neuron SDK, Neuron Profiler, and framework integration (PyTorch, JAX)., • Experience porting kernels between accelerator backends (e.g., CUDA/Triton to NKI) and understanding of deep learning operator implementations (attention, GEMM, normalization).Industry Experience: Experience in developing and optimizing low-level code for AI accelerators is essential, with a strong preference for experience with Triton over CUDA. ABOUT AKRAYA Akraya is an award-winning IT staffing firm consistently recognized for our commitment to excellence and a thriving work environment. Most recently, we were recognized Stevie Employer of the Year 2025, SIA Best Staffing Firm to work for 2025, Inc 5000 Best Workspaces in US (2025 & 2024) and Glassdoor's Best Places to Work (2023 & 2022)! Industry Leaders in Tech Staffing As Talent solutions provider for Fortune 100 Organizations, Akraya's industry recognitions solidify our leadership position in the IT staffing space. We don't just connect you with great jobs, we connect you with a workplace that inspires! Join Akraya Today! Let us lead you to your dream career and experience the Akraya difference. Browse our open positions and join our team!

About Us Mintegral is a leading programmatic and interactive mobile advertising platform. Focused on the APAC region and radiating out globally. Powered by advanced AI technology, we provide global advertisers and developers with innovative, comprehensive experiences. With our efficient mobile marketing and monetization solutions, we help our clients exceed their marketing goals. As Mobvista’s self-developed programmatic platform, since launched in 2015, Mintegral has quickly grown to become one of the largest mobile advertising platforms in Asia. We offer a full stack of programmatic products and services, including our Self-service Platform, DSP, SSP, Ad Exchange and DMP. We have also created the Mindworks Creative Studio, which offers publishers and brands cutting-edge creative solutions, from traditional creative right through to the latest interactive ad formats. For more information, please visit our website_ About the Team We are building large-scale advertising intelligence systems using advanced machine learning, deep learning, and optimization techniques. Our team works on challenging problems including ad retrieval, ranking, recommendation, user modeling, prediction, real-time bidding, and decision optimization. We are looking for Machine Learning Engineers who are passionate about applying cutting-edge AI techniques to real-world advertising problems. This role is designed for new graduates and early-career researchers who want to combine research innovation with measurable business impact. Responsibilities • Develop and optimize large-scale machine learning models for advertising ranking, retrieval, recommendation, personalization, and prediction., • Build production-quality ML solutions using PyTorch and modern deep learning frameworks., • Develop scalable distributed training pipelines for large-scale recommendation and ranking models., • Research and apply advanced techniques including deep learning, reinforcement learning, causal inference, and optimization for advertising decision systems., • Explore reinforcement learning approaches for real-time bidding, budget optimization, and sequential decision-making problems., • Design and evaluate experiments to improve model performance, user experience, and advertiser outcomes., • Build and optimize embedding models, feature representations, and real-time inference solutions., • Collaborate with engineers to deploy machine learning models into large-scale production systems., • Stay current with advances in AI research and apply state-of-the-art methods to advertising systems. Basic Qualifications • Bachelor's, Master's, or Ph.D. degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Mathematics, Statistics, Operations Research, or related fields., • Strong programming skills in C++, Python, Java, Go, or similar languages., • Strong foundation in algorithms, data structures, operating systems, distributed systems, and computer architecture., • Strong interest in machine learning systems, AI infrastructure, and high-performance computing., • Ability to solve complex engineering problems and quickly learn new technologies Preferred Qualifications • Experience with recommendation systems, ranking systems, retrieval systems, or online advertising algorithms., • Experience with large-scale recommendation systems or real-time bidding (RTB) systems is preferred., • Experience applying reinforcement learning, causal inference, or optimization methods to decision-making problems., • Experience with PyTorch distributed training, large-scale deep learning frameworks, GPU acceleration, or ML systems., • Research publications or projects in top-tier venues such as NeurIPS, ICML, ICLR, KDD, WWW, SIGIR, RecSys, or related workshops are a plus., • Research experience in advertising, recommendation systems, reinforcement learning for decision making, or personalization is highly valued., • Welcome candidates who are passionate about online advertising, causal inference, and reinforcement learning-based decision systems. Why Join Us • Work on challenging AI and machine learning problems at the intersection of advertising, recommendation, and large-scale decision systems., • Build technologies that impact hundreds of millions of advertising requests through real-time intelligent decision-making., • Directly contribute to improving advertiser performance and ROI through advanced AI systems., • Collaborate with talented engineers and researchers working on cutting-edge ML infrastructure and algorithms., • Opportunity to work with large-scale models, GPU computing, distributed training, and production AI systems.

We are seeking a Software Development Engineer to design, build, and maintain scalable backend systems that drive delivery experiences. Develop and support high-performance, low-latency services using Service-Oriented Architecture (SOA) and APIs. Here are some of the specific details: Job Title: Software Development Engineer Job Duration: 9+ months Job Location: Seattle, WA (5 days onsite) No C2C, accepting candidates who are able to work on W2 only. SKILLS: • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field., • 3+ years of professional software development experience., • 2+ years of design or architecture (design patterns, reliability and scaling) of new and existing systems experience., • Required: Java / Typescript, AWS services (Step Functions, S3, Dynamo, Lambda), distributed systems, and data pipeline development., • Experience with AI-native systems development, agentic frameworks (using Bedrock), ad-tech platforms, campaign management systems, AWS Cleanrooms, TypeScript, etc., • Database technology experience. A reasonable, good faith estimate of the minimum and maximum for this position is $60/hr to $70/hr on w2.

About Us Mintegral is a leading programmatic and interactive mobile advertising platform. Focused on the APAC region and radiating out globally. Powered by advanced AI technology, we provide global advertisers and developers with innovative, comprehensive experiences. With our efficient mobile marketing and monetization solutions, we help our clients exceed their marketing goals. As Mobvista’s self-developed programmatic platform, since launched in 2015, Mintegral has quickly grown to become one of the largest mobile advertising platforms in Asia. We offer a full stack of programmatic products and services, including our Self-service Platform, DSP, SSP, Ad Exchange and DMP. We have also created the Mindworks Creative Studio, which offers publishers and brands cutting-edge creative solutions, from traditional creative right through to the latest interactive ad formats. For more information, please visit our website_ About the Team We are building next-generation advertising intelligence platforms that power large-scale, real-time decision systems. Our team develops AI infrastructure and machine learning systems that enable advanced advertising solutions, including large-scale model training, high-performance inference, feature platforms, and embedding services. We are looking for exceptional Software Engineers who are passionate about AI infrastructure, high-performance computing, and building reliable systems at massive scale. This role is ideal for new graduates and early-career engineers who want to work at the intersection of distributed systems, GPU computing, and machine learning systems. Responsibilities • Design and build high-performance AI infrastructure supporting large-scale advertising machine learning systems., • Develop GPU-accelerated machine learning training and inference infrastructure, including distributed training, mixed precision training, and large-scale model optimization., • Build and optimize ML systems using modern frameworks and technologies such as PyTorch, TorchRec, and distributed training frameworks., • Design and implement high-throughput, low-latency real-time decision systems serving massive volumes of advertising requests., • Build efficient data and feature pipelines supporting large-scale embeddings, multimodal features, and real-time feature serving., • Develop scalable model serving infrastructure for production machine learning applications., • Optimize system performance through parallel computing, GPU acceleration, memory optimization, and advanced system design., • Collaborate closely with machine learning engineers and researchers to productionize state-of-the-art models., • Build reliable, scalable, and maintainable infrastructure for next-generation advertising AI systems. Basic Qualifications • Bachelor's, Master's, or Ph.D. degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Mathematics, Statistics, Operations Research, or related fields., • Strong programming skills in C++, Python, Java, Go, or similar languages., • Strong foundation in algorithms, data structures, operating systems, distributed systems, and computer architecture., • Strong interest in machine learning systems, AI infrastructure, and high-performance computing., • Ability to solve complex engineering problems and quickly learn new technologies Preferred Qualifications • Experience with GPU programming (CUDA), high-performance computing, or system-level performance optimization., • Experience with machine learning systems (ML Systems), large-scale AI infrastructure, or distributed training platforms., • Familiarity with PyTorch distributed training, TorchRec, DeepSpeed, FSDP, model parallelism, data parallelism, or 2D parallel training strategies., • Experience building large-scale machine learning infrastructure, including training platforms, model serving systems, feature platforms, or embedding serving systems., • Experience with real-time inference systems, low-latency services, or large-scale data processing., • Research projects, internships, or open-source contributions related to AI infrastructure are highly valued., • Strong research ability and problem-solving skills., • Passion for online advertising, recommendation systems, and intelligent decision-making Why Join Us • Work on challenging AI and machine learning problems at the intersection of advertising, recommendation, and large-scale decision systems., • Build technologies that impact hundreds of millions of advertising requests through real-time intelligent decision-making., • Directly contribute to improving advertiser performance and ROI through advanced AI systems., • Collaborate with talented engineers and researchers working on cutting-edge ML infrastructure and algorithms., • Opportunity to work with large-scale models, GPU computing, distributed training, and production AI systems.

Position Information Type: Contract Position: Customer Experience (CX) Engineer Location: Seattle, WA (Onsite) Job Description: Cisco is looking for an experienced [10+] consulting engineer supporting a customer lab in the 4G/5G domain is expected to have a combination of technical expertise, operational skills, and customer engagement capabilities tailored to the complexities of 4G and 5G network technologies. The ideal candidate will have strong hands-on expertise understanding of 4G and 5G technologies: Knowledge of 3GPP/3GPP2 standards, including 5G SA/NSA architectures, Service-Based Architecture (SBA), Service Mesh, network functions (AMF, SMF, UPF, PCF), network slicing, VPP, Data modeling technique like fragmentation, p2p and content filtering. This is a customer-facing technical role requiring the engineer to work closely with telecom customers during software upgrades, network expansions, new deployments, migrations, feature introductions, troubleshooting, and production change activities. The engineer will act as a trusted technical advisor to customers and will collaborate closely with Cisco engineering, system test, TAC, deployment, and account teams to ensure successful delivery and operation of mission-critical mobile packet core networks. Required Technical Skills. • Deep understanding of 4G and 5G technologies: Knowledge of 3GPP/3GPP2 standards, including 5G SA/NSA architectures, Service-Based Architecture (SBA), Service Mesh, network functions (AMF, SMF, UPF, PCF), network slicing, VPP, Data modeling technique like fragmentation, p2p and content filtering., • Network function virtualization and cloud-native technologies: Ability to work with NFVI, virtualization, and cloud-native deployments, working experience of Kubernetes, Docker, OpenShift and microservices., • Networking knowledge: Strong in layer 2/3 networking, strong knowledge of BGP, BFD, IS-IS, OSPF and static routes., • Test automation and release management: Skill in automated testing, python3, unix, shell scripting., • System Engineering: Scaling testing, System Engineering, Performance and Call model, • Strong knowledge of 3GPP 4G / 5G architecture and hands-on expertise, • Strong understanding of interfaces and protocols, • Experience troubleshooting platform health including:, • CPU and memory, • Card/component status, • Session utilization, • Service utilization, • System alarms, • Crashes, • Bulk statistics, • Logs and traces, • Strong understanding of:, • IPv4 / IPv6, • TCP/IP, • Routing, • VLANs, • VRFs, • BGP, • OSPF, • Static routing, • ECMP, • NAT, • DNS, • IP addressing and subnetting, • Ability to troubleshoot end-to-end packet flow from the mobile subscriber through the EPC toward external data networks., • Customer-Facing Skills, • The candidate must have strong customer interaction experience and demonstrate:, • Excellent verbal and written communication., • Ability to explain complex technical issues clearly to both engineering and management audiences., • Confidence leading technical discussions with Tier-1 telecom operators., • Ability to manage high-pressure production situations., • Strong ownership and accountability., • Ability to coordinate across geographically distributed teams., • Strong problem-solving and analytical skills., • Ability to prioritize activities during customer-impacting incidents. Preferred Experience • Approximately 10+ years of telecom / mobile packet core experience., • At least 5+ years of hands-on experience with network functions (AMF, SMF, UPF, PCF)is highly desirable., • Experience with 4G EPC / PGW deployments., • Experience supporting large Tier-1 or Tier-2 telecom service providers., • Hands-on experience performing production software upgrades., • Experience executing complex network changes during maintenance windows., • Experience troubleshooting live subscriber-impacting issues., • Experience working with TAC, engineering, development, and system-test organizations., • Experience with large subscriber-scale mobile networks., • Exposure to the following would be advantageous:, • 5G NSA architecture, • 5G Core / UPF, • CUPS, • Virtualized packet core, • Cloud-native mobile core, • VMware / OpenStack / Kubernetes environments Key Responsibilities • Customer Engagement & Technical Ownership, • SMF Deployment & Integration, • Software Upgrade & Migration, • System Test & Solution Validation, • Troubleshooting & Problem Resolution, • Technical Documentation Education: Bachelor's or Master's degree in: • Electronics and Communication Engineering, • Telecommunications, • Computer Science, • Information Technology or equivalent relevant industry experience.

About MangoApps MangoApps is the leading unified platform for modern workplaces, enabling seamless communication, collaboration, and AI-driven productivity. Our mission is to empower organizations by delivering innovative solutions that connect employees, tools, and knowledge—all in one place. About the Role We are looking for a Product Manager with a strong builder mindset to join our growing product team. In this role, you will own key features and product areas from customer discovery through launch, adoption, and ongoing improvement. You will combine strong product management fundamentals with hands-on use of AI-assisted development tools to turn ideas into working solutions faster. At MangoApps, Product Managers do more than write requirements and hand them off to engineering. They use tools such as Claude Code and other AI-assisted development platforms to explore ideas, create functional prototypes, improve existing experiences, and increasingly contribute directly to production-ready features. Product judgment remains at the center of the role. AI-assisted building is how you learn faster, communicate ideas more clearly, and deliver customer value more quickly. What You’ll Do Understand Customers and Shape the Product • Develop a deep understanding of customer needs, workflows, pain points, and business goals., • Speak with customers, prospects, and internal teams to identify meaningful product opportunities., • Use customer feedback, product usage, competitive research, and business priorities to determine what should be built or improved., • Turn ambiguous problems into clear product requirements, practical solutions, and measurable outcomes. Own and Build the Product • Own a product area or set of features from discovery through launch, adoption, and continuous improvement., • Define the product vision, workflows, requirements, user stories, acceptance criteria, and success measures., • Use AI-assisted development tools to create functional prototypes, product improvements, internal tools, and smaller production changes., • Review and test AI-generated work carefully, including usability, edge cases, performance, security, and reliability., • Use sound judgment about what you can build directly and when engineering, design, or security support is needed., • Stay accountable for the customer outcome, not just the requirements or initial release. Collaborate, Launch, and Drive Adoption • Partner with engineering, design, and QA to deliver larger or more technically complex initiatives., • Review designs and technical approaches, evaluate tradeoffs, and make practical decisions about scope, quality, and timing., • Monitor released features and iterate based on customer feedback, usage data, and results., • Partner with marketing, sales, and customer success on launches, positioning, adoption, and customer education., • Serve as a product expert in customer meetings, demonstrations, and sales opportunities., • Create practical enablement materials and help maintain effective product demo environments. What You’ll Bring • At least two years of product management or closely related product-building experience, preferably within B2B SaaS., • Strong product management fundamentals, including customer discovery, problem framing, prioritization, requirements definition, launch planning, and iteration., • Hands-on experimentation with AI coding or development tools such as Claude Code, Cursor, GitHub Copilot, or similar platforms., • Experience using AI tools to create something functional, such as a prototype, automation, internal tool, workflow, product concept, or side project., • A demonstrated interest in developing the technical skills needed to build and ship increasingly sophisticated product solutions., • Comfort learning to operate within a software development environment, including navigating a codebase, reviewing AI-generated code, using basic Git workflows, testing changes, and discussing technical tradeoffs., • A builder mindset—you naturally move from discussion to tangible output and prefer validating ideas through working solutions rather than unnecessary documentation., • Strong judgment about customer value, usability, product quality, scope, and when a solution is ready to release., • Strong written and verbal communication skills., • Experience presenting product ideas, recommendations, or demonstrations to customers, internal teams, or company leaders., • The ability to communicate product concepts through wireframes, mockups, process flows, prototypes, or similar methods., • Strong organizational skills and the ability to manage multiple priorities while maintaining attention to detail., • A collaborative and accountable working style., • A bachelor’s degree or equivalent practical experience. Preferred Experience • Experience with enterprise software, employee experience platforms, collaboration tools, intranets, or digital workplace products., • Experience with HR technology, including HRIS, performance management, workforce management, human capital management, learning management systems, employee engagement, or related areas., • Experience taking a new product, feature, or business initiative from zero to one., • Experience working closely with software engineers and designers throughout the product development lifecycle., • Experience personally building or shipping customer-facing software, internal tools, or production improvements., • Familiarity with LLM-powered product development, including prompting, evaluations, model APIs, reliability, and responsible AI considerations., • A technical, computer science, information systems, or other product-adjacent background., • Experience supporting product demonstrations, enterprise sales opportunities, customer implementations, or go-to-market initiatives., • Familiarity with Figma or similar design and prototyping tools. Benefits MangoApps offers a competitive benefits package that includes: • Comprehensive health coverage., • A 401(k) retirement plan., • Paid time off and company holidays., • Opportunities for professional growth and increased product ownership., • A collaborative environment where your work can have a meaningful and visible impact. Why Join MangoApps? • Your work will directly impact thousands of employees who use MangoApps to communicate, collaborate, and get work done., • You will have meaningful ownership over products and features from idea through customer adoption., • You will develop a modern product management skill set that combines customer insight, product judgment, and AI-assisted building., • You will work closely with a collaborative, experienced, and mission-driven team., • You will have the opportunity to shape both the product and how MangoApps builds products., • You will help define the future of employee experience and digital workplace technology.

Role: Lead Full Stack Developer (React, TypeScript, Go, Java, Python, Node.js, AWS) Years of Experience: 8+ years Location: Hybrid Greater Seattle Area, WA Note: - This is a permanent hire. No Visa sponsorship is available for this role As a consultant within the DE team, you will work with our clients to define their digital strategy and execution roadmap, and design and implement differentiated digital solutions to help deliver measurable value. Job Description: We are seeking a highly skilled, hands-on Lead Full Stack Developer to drive the design, development, and delivery of scalable, cloud-native applications aligned to the Golden Path engineering stack. This role requires strong technical depth across modern frontend engineering, backend services, distributed systems, AWS/GCP cloud platforms, DevOps, observability, automated testing, and AI-assisted engineering practices. The ideal candidate will lead by example, mentor engineers, influence architecture decisions, and own end-to-end delivery of business-critical solutions while ensuring high standards for scalability, reliability, security, performance, maintainability, and operational excellence. Key Responsibilities • Lead the architecture, design, and delivery of enterprise-grade full-stack applications across frontend, backend, cloud, and data layers., • Build scalable, reusable frontend experiences (ReactJS, TypeScript, JavaScript, hooks) and robust backend APIs/microservices (Go, Java, Python, Node.js), integrated via REST, gRPC, Thrift, and event-driven patterns., • Architect cloud-native solutions on AWS with containerized platforms, CI/CD pipelines, infrastructure automation, and monitoring., • Own features end to end — from design through deployment, production support, and continuous improvement., • Lead technical design discussions, architecture reviews, and code reviews; drive engineering excellence in testing, security, observability, and performance., • Implement comprehensive testing strategies (unit, integration, API, Cypress-based UI regression) and troubleshoot complex production issues., • Mentor junior and mid-level engineers, and collaborate closely with product managers, architects, designers, and business stakeholders., • Communicate technical decisions, risks, and trade-offs clearly across technical and non-technical stakeholders. Required Skills & Experience Technical Experience • Bachelor's degree in Computer Science, Software Engineering, or equivalent, with 8+ years of full-stack software engineering experience., • Deep expertise in ReactJS, TypeScript, JavaScript (hooks, functional components), building scalable, high-performance UIs., • Strong backend development in Go, Java, Python, or Node.js — APIs, microservices, and distributed systems (REST, gRPC, Thrift; Koa)., • Solid grounding in system design, distributed systems, scalability, resiliency, and performance optimization., • Experience with relational and NoSQL databases (PostgreSQL, MySQL, Aurora, RDS, MongoDB, DynamoDB, Redis)., • Strong AWS experience (ECS, Lambda, API Gateway, S3, CloudWatch, and similar), plus Docker, Kubernetes, Terraform, and CI/CD (CircleCI)., • Experience with comprehensive testing (unit, integration, API, UI — Jest/Cypress) and observability/monitoring (Datadog, CloudWatch)., • Strong understanding of networking and security fundamentals (DNS, authentication, encryption, secure API design)., • Familiarity with AI-assisted engineering tools (Gemini, Claude Code, GitHub Copilot) and Agile/Scrum delivery. Professional Skills • Proven ability to independently own and deliver complex technical initiatives with minimal supervision., • Strong analytical, problem-solving, and debugging skills with the ability to break down complex technical challenges., • Excellent communication, collaboration, and stakeholder management skills across distributed engineering, product, and architecture teams., • Ability to balance engineering excellence with business priorities, delivery commitments, and customer outcomes., • Strong mentoring mindset with the ability to guide engineers, raise technical standards, and foster a culture of accountability and continuous learning. Leadership & Communication • Lead technical initiatives by influencing architecture decisions, defining implementation approaches, and guiding teams through delivery execution., • Partner effectively with cross-functional stakeholders to clarify requirements, manage dependencies, communicate risks, and align delivery with business outcomes., • Provide technical mentorship, design guidance, and constructive code review feedback to strengthen team capability and engineering quality., • Operate effectively in distributed Agile teams with strong ownership of sprint commitments, release quality, and production readiness. Nice to Have Skills • Experience with event-driven architecture and messaging platforms such as Kafka, AWS EventBridge, SQS, or similar technologies., • Hands-on exposure to workflow orchestration and data processing platforms such as Databricks, Airflow, Temporal, or equivalent tools., • Experience with Elasticsearch or other high-scale search, analytics, indexing, and data retrieval platforms., • Experience contributing to enterprise design systems, shared UI component libraries, or large-scale frontend codebases., • Familiarity with monorepo development environments and build systems such as Bazel., • Infrastructure-as-Code experience using Terraform, AWS CDK, CloudFormation, or similar automation tools., • Exposure to high-scale SaaS, marketplace, PropTech, real estate technology, or customer-facing digital product platforms., • Experience working with geographically distributed engineering teams and cross-functional stakeholders. Why should you apply for this role? As Brillio continues to gain momentum as a trusted partner for our clients in their digital transformation journey, we strive to set new benchmarks for speed and value creation. The DI team at Brillio is at the forefront of leading this charge by reimagining and executing how we structure, sell and deliver our services to better serve our clients. Know more about PPE: _ DAE: _ CES: _ DI: _ Know what it’s like to work and grow at Brillio: _ Equal Employment Opportunity Declaration Brillio is an equal opportunity employer to all, regardless of age, ancestry, colour, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding, and related medical conditions), and sexual orientation. #LI-RJ1

Role Overview We are seeking a highly skilled Network Architect to lead the design, implementation, and optimization of our global network infrastructure. In this role, you will focus on our CDN and edge computing ecosystems, ensuring high availability, scalability, and cost-efficiency across various international markets. Key Responsibilities • Architectural Design: Lead the network architecture design and operational management for global CDN and edge computing infrastructures., • Optimization & Evolution: Drive the iterative upgrade and optimization of global edge network architectures to meet evolving business demands., • Data Center Design: Manage the systemic design and deployment of edge data center (PoP) network facilities., • Automation & Intelligence: Contribute to the development of automated and intelligent network O&M (Operations & Maintenance) tools to enhance operational quality and efficiency. Qualifications • Education: Bachelor’s degree or higher in Computer Science, Network Engineering, or a related field., • Ability to communicate in English and Mandarin with international teams preferred but not required, • Minimum of 3 years of experience in architectural design for large-scale data center network infrastructure., • Deep understanding of Edge Data Center network architectures and CDN requirements., • Proven track record in edge network design foucsed on performance improvement and cost optimization ., • Familiarity with global ISP network architectures and workflows; ability to effectively analyze, locate, and resolve complex global network issues., • Expert-level knowledge of Routing & Switching and TCP/IP protocols., • Proficiency in scripting languages such as Python or Shell is preferred., • Experience with large-scale internet CDN providers, ISP backbone networks, or hyper-scale data center architecture and operations., • Deep understanding of large IP backbone networks and a passion for continuous technical deep-diving. Note* This position is also open to candidates based in Singapore and Hong Kong The base pay range for this position in the state(s) above is $115,800 to $212,300 per year. Actual pay is based on market location and may vary depending on job-related knowledge, skills, and experience. A sign-on payment, relocation package, and restricted stock units may be provided as part of the compensation package, as well as other medical, financial, and/or other benefits, dependent on the specific position offered.

Overview: We are seeking a skilled Data Center Network Architect to design, implement, and maintain high-performance network infrastructures optimized for AI workloads, ensuring seamless operability across multiple platforms. The role focuses on developing a strategic network topology that supports the evolving needs of AI and high-performance computing, while collaborating with physical design teams to optimize space, power, cooling, and cabling management. Key Responsibilities: • Design & Architecture:, • Develop and document high-performance, scalable network solutions tailored for AI workloads, ensuring multi-platform operability across on-premises data centers, cloud environments, and virtualized systems., • Design a forward-looking network topology strategy that incorporates emerging technologies and trends in AI and high-performance computing., • Collaborate with physical design and facilities teams to optimize network infrastructure for space, power, cooling, and cabling management., • Implementation:, • Configure and manage high-performance networking equipment, including switches, routers, and network interconnects optimized for AI and HPC workloads., • Ensure seamless integration with cloud networking solutions and virtualization platforms., • Security & Compliance:, • Ensure network architectures meet stringent security standards for AI and HPC environments; implement robust security policies and disaster recovery plans., • Optimization & Troubleshooting:, • Monitor and optimize network performance for AI workloads; resolve complex network issues; lead disaster recovery efforts., • Documentation & Training:, • Maintain comprehensive network documentation; mentor and train junior engineers on best practices for AI-centric network design. Qualifications: • Bachelor’s degree in IT, Computer Science, Electrical Engineering, or a related field., • 8+ years of experience in network design and architecture, with a focus on high-performance computing or AI environments., • Proficient in advanced networking protocols and technologies that support AI and HPC workloads., • Experience with multi-platform environments, including on-premises data centers, cloud platforms (AWS, Azure, Google Cloud), and virtualization technologies., • Knowledge of data center design principles, including power, cooling, and cabling management., • Certifications in networking (e.g. ACE, JCNIE, CCIE) or data center design are preferred. Key Competencies: • Strong analytical and problem-solving skills, with the ability to tackle complex network challenges in AI and HPC environments., • Excellent communication and team collaboration abilities, with experience working with cross-functional teams including facilities, operations, and engineering

Location: Downtown Kirkland (In-Office Position) About Net-Inspect Net-Inspect builds cloud-based software that powers quality and supply chain operations across the aerospace and defense industry. Our SaaS platform is mission critical for more than 8,000 companies in 52 countries, including OEMs such as Boeing, Pratt & Whitney, Honeywell, and Bombardier. When a complex aerospace component is manufactured and inspected, chances are Net-Inspect played a major role in making it happen safely and efficiently. We operate in a FedRAMP Moderate environment on Azure Government, delivering secure, scalable, and highly reliable solutions to a global customer base. Inside the company, we are intentionally different: • A small, highly skilled team of exceptional engineers and QA professionals, • Direct access to the Executive Team and key customer stakeholders, • A culture that’s fun, collaborative, and low-ego, where everyone has real ownership, • A focus on continuous improvement and innovation We invest heavily in our people and culture because we believe they are the foundation of our long-term success. We are now looking for a Software Engineering Leader to lead our engineering organization and help shape the next chapter of Net-Inspect. The Opportunity In Net-Inspect’s top engineering role, you will: • Lead and grow a multidisciplinary team of software developers and QA engineers, • Own the architecture, reliability, scalability, and security of a mission-critical global SaaS platform, • Drive modernization and innovation while safeguarding the trust of some of the world’s most demanding customers, • Translate complex aerospace/defense and regulatory requirements into elegant, secure, and reliable technical solutions If you love building teams, scaling platforms, and solving challenging engineering problems with real-world impact, this role sits at the heart of all of it. What You’ll Do Engineering Leadership & People Management • Lead, mentor, and develop Net-Inspect’s team of software developers and QA engineers, • Build a high-performance, high-trust engineering culture, • Conduct performance reviews, define goals, and support career growth, • Lead by example with strong engineering standards and architectural discipline, • Recruit and hire outstanding technical talent Architecture & Technical Oversight • Maintain a deep technical understanding of Net-Inspect’s cloud architecture across Azure Government and Azure Commercial, • Guide architectural decisions and technical design reviews, • Drive modernization, technical debt reduction, and platform scalability, • Ensure the platform supports rapid delivery without compromising security or stability, • Drive adoption of technologies that enable our AI/LLM initiatives and next-generation platform capabilities. Execution & Delivery • Lead weekly sprint planning, prioritization, and release management, • Keep the backlog healthy and well-aligned with business goals, • Ensure on-time delivery of high-quality features and enhancements, • Partner with Product and the Executive Team to align engineering work with company strategy Security • Maintain strong working knowledge of FedRAMP Moderate, NIST 800-53 Rev 5, and related standards, • Oversee Continuous Monitoring activities and security posture, • Lead vulnerability management, static/dynamic analysis, and software composition analysis, • Own incident response, root cause analysis, and operational excellence, • Conduct disaster recovery planning, testing, performance tuning, and training, • Lead the annual third-party security audit (conducted by 3PAO) Platform Resilience & Risk Mitigation • Conduct comprehensive analyses of single points of failure across the entire platform—application, data, networking, and operational layers, • Design and implement robust mitigation strategies (redundancy, failover, fault isolation, chaos testing, etc.) to eliminate customer-impacting outages, • Develop architectural patterns that ensure continuity of operations even in rare or “black swan” scenarios, • Partner with Security and Infrastructure to model extreme-case risks and ensure the platform can withstand unexpected load, dependency failures, or regional disruptions, • Build a culture of proactive resiliency planning, encouraging teams to anticipate failure modes long before they become real-world events Customer & Stakeholder Partnership • Represent Net-Inspect as the technical leader in key customer and stakeholder discussions, • Design and estimate new projects directly with customers, • Support high-level escalations and cross-team technical problem solving, • Contribute to roadmap planning across engineering, product, and executive teams Required Qualifications • Bachelor’s degree in Computer Science, Engineering, or related field OR equivalent experience, • 7+ years of software engineering experience, including 2+ years in engineering leadership, • Strong background in cloud-based SaaS architecture (Azure preferred), • Proven success building secure, scalable, and reliable systems, • Deep familiarity with:, • App Services, Function Apps, and App Service Environments, • Azure Firewall and Application Gateway, • DNS, Networking, and Secure Routing, • Azure SQL, CosmosDB, Blob Storage, • Service Bus Queue and Redis, • Key Vault and App Configuration, • Azure DevOps Agents and Pipelines, • Experience leading teams in regulated environments (FedRAMP, DoD, ISO27001, etc.), • Excellent communication, leadership, and delivery management skills, • U.S. citizen (required to work with sensitive customer data) Preferred Qualifications • 3+ years leading a SaaS platform through formal security audits, • Experience with Aerospace & Defense or manufacturing customers Why You’ll Love Working Here • Impact at global scale: Your decisions will influence thousands of companies and critical aerospace programs worldwide, • High visibility & ownership: You’ll work closely with the Executive Team and shape long-term strategy, • Culture: Smart, kind, motivated teammates who genuinely enjoy working together, • Innovation opportunities: A strong platform with significant room for modernization and new capabilities If you’re passionate about technology, love building software that can transform an industry, and thrive in a small, talented, and energetic team, we’d love to meet you.

We are looking for an AI Engineer – GenAI Platform Support to configure, support, secure, and deploy enterprise GenAI platforms such as Claude, OpenAI, Glean, and similar AI solutions. The ideal candidate should have hands-on experience with AI/ML, Python, prompt engineering, model tuning, cloud platforms, security controls, and enterprise AI integrations, along with the ability to troubleshoot platform issues and support production feature releases. Key Responsibilities • Configure and support enterprise GenAI platforms including Claude, OpenAI, and Glean., • Manage Entra groups, security settings, scoped access, and Cybersecurity approvals., • Troubleshoot bugs and defects and coordinate with platform vendors for resolution., • Develop technical solutions for client application management and required security controls., • Support feature releases, pilots, approvals, and production deployments., • Collaborate with cross-functional teams to integrate AI solutions into business workflows., • Apply prompt engineering, model tuning, and AI/ML development techniques., • Support enterprise AI platforms while following Zero-Trust and security standards. Required Qualifications • Experience with AI/ML or Generative AI technologies., • Hands-on experience with Python or R for AI/software development., • Knowledge of Prompt Engineering and Model Tuning., • Experience integrating AI solutions into business workflows., • Understanding of cloud computing and enterprise application environments., • Strong troubleshooting, collaboration, communication, and problem-solving skills. Preferred Qualifications • 2–4+ years developing or deploying ML models., • Experience with fine-tuning, prompt engineering, and GenAI applications., • Experience configuring enterprise AI platforms such as Claude, OpenAI, or Glean., • Knowledge of Microsoft Entra, Zero-Trust, scoped access, and security controls., • Experience with feature release management and production deployments., • AI/ML, Computer Science, Data Science, or Engineering background., • Relevant Machine Learning, Data Science, or Analytics certifications. ABOUT BRICKRED SYSTEMS BrickRed Systems is a global leader in next-generation technology consulting and workforce solutions, specializing in delivering high-quality talent across digital, engineering, marketing, analytics, finance, operations, and business transformation domains. With a strong emphasis on innovation, scalability, and client success, BrickRed Systems helps organizations solve complex business challenges by providing skilled professionals across strategy, technology, creative, and operational functions. BrickRed fosters a culture of continuous learning, collaboration, and excellence, enabling professionals to contribute to high-impact global initiatives while advancing their careers.

We are seeking an experienced Engineer, AI – AI Evaluation & Model Risk Lead to lead how AI models are evaluated, cleared, monitored, and documented for enterprise use. This role owns model-risk clearance, ongoing model evaluation, model cards, evaluation harnesses, and test suites to ensure AI models are measured, documented, and current. The ideal candidate will have hands-on experience with machine learning models, AI tools, Python, cloud computing, data analysis, data modeling, model tuning, prompt engineering, and model evaluation. You will collaborate with Safety Standards, Cyber, Responsible AI, and cross-functional teams to support the safe and effective adoption of AI solutions. Key Responsibilities • Own initial model-risk clearance and approved-use ratings that gate AI models into use., • Own ongoing model evaluation and re-clearance following model version changes., • Evaluate models against live traffic and identify model drift., • Author and maintain model cards documenting what was tested, approved use cases, and identified risks., • Build and run AI evaluation harnesses and test suites aligned with established Safety Standards., • Collaborate with Cyber teams responsible for security red-teaming and Responsible AI teams., • Collaborate with cross-functional teams to ensure effective integration and functionality of AI systems., • Develop, test, debug, document, and communicate application and component development activities., • Validate technical results with user representatives and support overall solution integration., • Select appropriate technical solutions by reusing, improving, reconfiguring, or creating components., • Optimize application development for efficiency, cost, and quality., • Review and create unit test cases, scenarios, test plans, and execution results., • Contribute to HLD, LLD, SAD, architecture, application features, business components, and data models., • Perform defect root-cause analysis and mitigation and identify proactive quality improvements., • Support release processes, configuration management, documentation, project delivery, and technical presentations., • Interface with customers and development teams to clarify requirements and provide technical guidance. Required Qualifications • 2+ years of professional experience in relevant AI, machine learning, software development, or data-focused roles., • Bachelor's degree with 3 years of related work experience, OR advanced degree with 1 year of related work experience, OR equivalent combination of education and experience., • Degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or related field preferred., • 2–4+ years of experience developing and deploying machine learning models, including fine-tuning and prompt engineering., • 2–4+ years of experience with AI tools and software development using Python or R., • 2–4+ years of experience collaborating with cross-functional teams to integrate AI solutions into business workflows., • Strong knowledge of Cloud Computing., • Strong experience in Data Analysis, Data Management, and Data Modeling., • Knowledge of Model Tuning and Prompt Engineering., • Strong understanding of Model Evaluation and AI model-risk concepts., • Experience creating and maintaining Model Cards & Documentation., • Understanding of Model Risk & Clearance processes., • Strong analytical and problem-solving abilities with the ability to work under pressure and manage multiple tasks. Preferred Qualifications • Experience with AI model-risk evaluation and clearance., • Experience building and maintaining AI evaluation harnesses and test suites., • Experience evaluating models against production/live traffic and identifying model drift., • Experience with model cards, model documentation, and AI governance practices., • Experience with machine learning fine-tuning and prompt engineering., • Preferred certifications include:, • Certified Analytics Professional (CAP), • Machine Learning Certification, • Certified Data Scientist (CDS) ABOUT BRICKRED SYSTEMS BrickRed Systems is a global leader in next-generation technology consulting and workforce solutions, specializing in delivering high-quality talent across digital, engineering, marketing, analytics, finance, operations, and business transformation domains. With a strong emphasis on innovation, scalability, and client success, BrickRed Systems helps organizations solve complex business challenges by providing skilled professionals across strategy, technology, creative, and operational functions. BrickRed fosters a culture of continuous learning, collaboration, and excellence, enabling professionals to contribute to high-impact global initiatives while advancing their careers.

We are looking for an experienced Solutions Architect to lead the design and architecture of an enterprise Semantic Layer and Microsoft Fabric platform. This role will own end-to-end solution strategies, develop governed semantic models, and enable trusted self-service analytics across Finance, Operations, Marketing, HR, and Technology. Key Responsibilities • Design and own enterprise semantic models in Microsoft Fabric, including Direct Lake, composite and import models., • Architect and govern Power BI semantic models, reusable datasets, measures, and calculation frameworks., • Establish governance standards including RLS, OLS, dataset certification, sensitivity labels, lineage, and access controls., • Ensure SOX-compliant lineage, audit trails, change management, and access controls for financial reporting models., • Integrate Fabric semantic models with Tableau, Qlik Sense, MicroStrategy, Grafana, Excel, and other downstream BI platforms., • Define secure integration patterns for AI/LLM tools such as Claude and Azure OpenAI with semantic-layer data., • Lead architectural reviews, technical trade-off discussions, POCs, and solution roadmaps., • Partner with business and technical stakeholders to translate requirements into scalable data architecture., • Establish standards for DAX, model partitioning, incremental refresh, aggregation tables, deployment pipelines, Git, XMLA, and Tabular Editor., • Mentor technical teams and contribute to reusable frameworks, best practices, and architecture assets. Required Skills • Microsoft Fabric, • Semantic Layer & Semantic Model Architecture, • Power BI, • SQL, • Spark, • Azure, • Python, • AI/ML, • Enterprise Data Architecture, • Data Governance & SOX Compliance, • RLS / OLS and data lineage, • Fabric OneLake, Lakehouse, Dataflows Gen2 & Data Pipelines, • DAX, composite models, aggregation tables, incremental refresh Experience • 7–10+ years in enterprise data architecture, analytics engineering, or BI platform leadership., • 7+ years with Microsoft Fabric, Semantic Layer, Spark and SQL., • 5–7 years of Power BI semantic model development and governance., • 3–5 years of SOX compliance and financial data governance., • Experience integrating third-party BI platforms and AI/LLM technologies., • Strong solution architecture, stakeholder management, and technical leadership experience. Additional Requirements • FAANG / Product / Top-Tier 1 company experience mandatory., • 10+ years of overall experience., • Bachelor’s degree in Computer Science, IT, Computer Engineering, Data Engineering, or related field, or equivalent experience., • No specific certification required., • Must be available to work 3 days onsite in Bellevue, WA or Frisco, TX. ABOUT BRICKRED SYSTEMS BrickRed Systems is a global leader in next-generation technology consulting and workforce solutions, specializing in delivering high-quality talent across digital, engineering, marketing, analytics, finance, operations, and business transformation domains. With a strong emphasis on innovation, scalability, and client success, BrickRed Systems helps organizations solve complex business challenges by providing skilled professionals across strategy, technology, creative, and operational functions. BrickRed fosters a culture of continuous learning, collaboration, and excellence, enabling professionals to contribute to high-impact global initiatives while advancing their careers.

We are seeking an experienced Senior Data Product Manager to own the end-to-end product lifecycle for complex data and technology solutions. The ideal candidate will combine strong Product Management, Agile delivery, data analysis, technical architecture, and stakeholder management skills to drive product strategy, roadmap, delivery, and adoption. This role will work closely with Engineering, Architecture, DevOps, Sales, Finance, Marketing, Legal, Go-to-Market, and business teams to identify opportunities, remove execution barriers, and deliver scalable solutions aligned with customer and business needs. The ideal candidate has experience delivering large-scale data or technology initiatives in frontline, Retail, Care, or other operationally intensive environments, along with strong executive communication and the ability to bring structure to ambiguous and fast-moving situations. Key Responsibilities • Own the end-to-end product lifecycle for complex data and technology solutions, from strategy and discovery through delivery, release, adoption, and continuous improvement., • Develop and maintain product roadmaps aligned with business objectives, customer needs, and strategic priorities., • Conduct market, customer, and business research to identify opportunities and inform product strategy., • Manage the product backlog, prioritize features, coordinate dependencies, and address technical debt., • Support and enable core Agile practices, including efficient just-in-time flow, Lean principles, waste reduction, and DevOps/CI/CD practices., • Collaborate closely with Engineering, Architecture, Development, DevOps, and business stakeholders to drive technical delivery and product releases., • Analyze quantitative and qualitative data to prioritize features, assess risks, measure outcomes, and support product decisions., • Identify execution, operational, organizational, and process issues that may impede product success and drive improvement plans., • Develop adoption tools, training materials, technical documentation, and product communications., • Translate complex technical and data concepts into clear business requirements and actionable product priorities., • Work with senior leaders and executives to communicate product strategy, progress, risks, dependencies, and business outcomes., • Build strong relationships with customer groups and customer representatives to understand needs and improve customer experience., • Collaborate with external partners and third-party organizations when required., • Leverage modern AI tools such as ChatGPT, Claude, or equivalent solutions to accelerate product operations, analysis, documentation, and other productivity workflows., • Bring structure, clarity, and momentum to ambiguous and evolving initiatives., • Ensure product decisions remain aligned with strategic business goals, customer needs, and technical capabilities., • Perform other duties and projects as assigned by business management. Required Qualifications • 7+ years of relevant Product Management experience in an Agile software product development environment., • Strong experience with Product Management, Agile Methodology, and Backlog Management., • Proven experience developing and executing Product Roadmaps and Product Strategy., • Strong Customer Centricity and advanced understanding of customer experience., • Strong Data Analysis skills with the ability to use quantitative and qualitative information for product decisions., • Strong understanding of Solution Architecture Design and technical solution development., • Experience creating and reviewing Technical Design Documentation and Technical Writing., • Proven ability to manage complex, large-scale data or technology initiatives involving multiple teams, systems, stakeholders, and dependencies., • Strong Stakeholder Management skills with experience working across technical and business organizations., • Excellent executive communication and presentation skills, with the ability to communicate effectively with senior leaders, technical teams, and business stakeholders., • Strong problem-solving skills with the ability to identify operational and organizational challenges and drive resolution., • Experience delivering data or technology solutions for frontline business units, particularly Retail, Care, or similarly operationally intensive environments., • Strong understanding of Agile, Lean, DevOps, and CI/CD practices., • Ability to operate effectively in ambiguous, high-pressure, and fast-moving environments., • Strong learning agility and ability to quickly understand new business, technical, and organizational concepts., • Bachelor's degree with 7+ years of related experience, or an advanced degree with 5+ years of related experience., • Educational background in Computer Science, Engineering, Information Technology, Data, or a related technical field. Preferred Qualifications • Post-graduate degree in Computer Science, IT, Engineering, Data, or a related technical discipline., • Experience working with large Retail or customer-facing organizations such as Starbucks, Target, Costco, Best Buy, Walmart, or similar companies., • Experience leading large-scale data transformation and technology initiatives., • Background as a Data Product Manager, Technical Product Manager, Data/Analytics Product Leader, Retail Technology Product Manager, or Data Transformation Leader., • Experience working with frontline operations, retail stores, customer care, supply chain, or other operationally intensive environments., • Experience driving transformation across complex enterprise organizations with multiple systems and dependencies., • Strong executive presence with experience influencing senior leadership and cross-functional stakeholders., • Experience using AI productivity tools such as ChatGPT, Claude, GitHub Copilot, or equivalent to improve product management and operational workflows., • Experience in a FAANG, major product company, or Top Tier-1 organization is highly preferred/mandatory for sourcing. ABOUT BRICKRED SYSTEMS BrickRed Systems is a global leader in next-generation technology consulting and workforce solutions, specializing in delivering high-quality talent across digital, engineering, marketing, analytics, finance, operations, and business transformation domains. With a strong emphasis on innovation, scalability, and client success, BrickRed Systems helps organizations solve complex business challenges by providing skilled professionals across strategy, technology, creative, and operational functions. BrickRed fosters a culture of continuous learning, collaboration, and excellence, enabling professionals to contribute to high-impact global initiatives while advancing their careers.

Job Title: Senior Product Manager – Finance Location: Seattle, Washington 98101 (Hybrid — 4 days onsite and 1 day remote per week) Duration: 04+month contract (with possible extension and Conversion Possibility: Yes) Work Schedule: 8:00 AM – 5:00 PM PST, Monday–Friday (40 hours/week) Start Date: Targeting Oct 2026 Pay Rate: $63.38/hr - $77.46/hr on W2 Benefits: Medical, Dental, Vision. “Note: This opportunity is not open for C2C (Corp-to-Corp) candidates.” Job Description: • The Senior Product Manager is a key member of the Nordstrom Product Management team, responsible for supporting enterprise data and analytics for Finance and key strategic business stakeholders. This role owns the Finance domain's Business Ready Dataset (BRD) roadmap, partnering with Finance leadership, Engineering, and business partners to deliver trusted, certified data products that Finance teams can act on with confidence. A Day in the Life • Own the Finance domain Business Ready Dataset (BRD) roadmap within Nordstrom's enterprise data and analytics space, prioritizing certified datasets that unlock self-service analytics for Finance stakeholders., • Lead the migration of legacy Finance reporting to a modern, governed self-service BI platform, articulating value to Finance leadership and securing executive alignment., • Develop the product roadmap and group work into releasable, domain-specific features, sequencing dataset certification and partnering with stakeholders on dashboard migration work., • Lead discovery with Finance business partners and analysts to identify certified metric definitions and synthesize findings into BRD requirements., • Partner closely with Data Engineering, Data Governance, and Analytics Enablement teams to keep delivery unblocked across dependencies., • Drive progress against program-level KPIs for the Finance domain, including dataset certification rate, self-service adoption, and retired legacy reports, while proactively managing risk and communicating impact to stakeholders., • Represent the Finance domain in enterprise program governance and workstream rhythms, ensuring cross-domain alignment on standards and timelines., • Own business requirement gathering and acceptance criteria, partnering with key business and engineering stakeholders to drive cross-functional understanding and alignment. Required Qualifications: • 6+ years of experience in Product Management, including experience with financial or enterprise planning data products., • Demonstrated experience managing a data or analytics product through a platform migration., • Practical experience with Oracle, Google Cloud Platform, and Looker or comparable enterprise systems., • Proficiency in data analysis and defining performance/adoption metrics for a data product., • Excellent verbal and written communication skills, including experience presenting to Finance executive stakeholders., • Bachelor's degree in Business, Engineering, Computer Science, or equivalent experience. Preferred Qualifications: • Google Cloud Platform (GCP) / BigQuery experience., • Looker / LookML experience. Client Feedback / Key Evaluation Areas: • Behavioral evidence of ownership: Ability to describe specific situations personally navigated, decisions made, and outcomes achieved., • Product thinking over technical implementation: Defines objectives and outcomes first, with tooling, architecture, and technical mechanics following the product strategy., • Influence without authority: Builds cross-team alignment by understanding stakeholder requirements rather than relying on escalation or top-down mandates., • End-to-end requirements discipline: Carries use cases through requirements, testing strategy, and defect handling, recognizing defects as potential signals of requirements gaps., • Cross-functional range with analytics partners: Demonstrated experience partnering directly with downstream analytics teams, not only business stakeholders on reporting needs. Interviews process: 2 Rounds - 1. Manager Screen - 2. Behavioral Conflict Resolution and how to drive movement on the team. "Interested in this opportunity? If you’re a strong Senior Product Manager with Finance, Data & Analytics experience, I’d love to connect! DM me or send your resume to learn more."

Responsibilities: • Design, develop, implement, test, document and deliver software for drone systems using multi-threaded programming in C++ and Python, real-time operating systems (RTOS including Yocto), and kernel system call interfaces in a Linux environment, with focus on sensor integration and embedded applications., • Own testing of new features and products, including establishing verification and validation (V&V) thresholds, a V&V strategy, a test plan, executing the test plan, and reporting out on test results., • This role is to work on testing of complex sensing systems using best practice engineering standards, produce comprehensive, usable documentation and work independently with minimal supervision. Qualifications: • BS in Computer Science, Computer or Electrical Engineering, Robotics, Mathematics, or a related field, • 5+ years of experience in the job or occupations of Test Engineer, Systems Engineer, Software Engineer, Embedded Systems Engineer, or related., • Experience in the job offered or related occupation must involve testing prior to launch of software solutions, test plan development and execution, multi-threaded programming and distributed programming in C++ or Python on Linux, embedded systems development with hardware integration, real-time operating systems (RTOS) experience, strong technical writing skills, and ability to work independently. Nice to have: • Robotics navigation and sensor integration, AWS pipeline development This posting is for a contract assignment with Tundra Technical Solutions to provide services to the Fortune 5 Client. The pay range that Tundra in good faith reasonably expects to pay for this position is $80/hour - $87/hour. Tundra’s benefits offering includes optional medical, dental, vision, retirement benefits, and a New Child Benefit. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation. Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.

Artly AI is building intelligent robots that learn, adapt, and perform complex real-world tasks. We’re looking for a Robotics Engineer / Applied Research Scientist to develop robot control systems, data pipelines, and state-of-the-art action policies—and bring them to physical robots. Responsibilities • Develop robot control drivers, APIs, and low-level infrastructure for robotic arms, dexterous hands, sensors, and cameras., • Build scalable data acquisition and demonstration pipelines spanning teleoperation, multimodal sensing, data processing, and dataset management., • Research and develop learned robot policies, including vision-language-action (VLA) models, diffusion policies, and world action models (WAMs); apply imitation learning and reinforcement learning to policy training., • Train, evaluate, and deploy learned policies for complex manipulation and real-world tasks., • Translate robotics and AI research into reliable systems for commercial environments. Qualifications • Strong background in robotics, machine learning, computer vision, or control., • Experience with Python/C++, ROS/ROS2, robot control, or manipulation systems., • Hands-on experience with PyTorch or comparable deep-learning frameworks., • Familiarity with imitation learning, VLA models, diffusion models, reinforcement learning, or robotics foundation models is highly desirable., • MS/PhD in Robotics, Computer Science, Electrical Engineering, AI, or a related field preferred, or equivalent practical experience.

Job Title: Systems Reliability Engineer Location: Seattle WA Duration: Long term Job Description: Role Summary The Systems Reliability Engineer (SRE) is a subject matter expert in software engineering and IT operations. As an individual contributor, this role exercise considerable judgement to ensure the resilience and stability of our applications and supporting infrastructure within an enterprise SRE center of excellence. Dynatrace specific requirements: • Expert-level experience administering and optimizing Dynatrace, including OneAgent deployment, environment configuration, management zones, tagging, dashboards, alerting, and synthetic monitoring., • Deep understanding of Dynatrace observability capabilities, including Distributed Tracing, PurePath®, Real User Monitoring (RUM), Digital Experience Monitoring (DEM), Infrastructure Monitoring, Log Management, and Application Security., • Proficiency integrating Dynatrace with cloud platforms (AWS, Azure, GCP), Kubernetes, Docker, OpenTelemetry, CI/CD pipelines (GitHub, Azure DevOps, Harness, Jenkins), ITSM platforms (ServiceNow), and collaboration tools (Slack, Microsoft Teams)., • Experience leveraging Dynatrace Query Language (DQL), Dynatrace API, Workflows, Grail, and Davis® AI to automate monitoring, develop custom dashboards, perform advanced analytics, and accelerate incident detection and root cause analysis., • Strong knowledge of application and infrastructure technologies monitored by Dynatrace, including Java, .NET, Node.js, Python, JavaScript, Go, SQL databases, Linux, Windows Server, web servers, APIs, microservices, and Kubernetes-based cloud-native architectures. Key Duties • Apply deep knowledge to develop and maintain software tools to enhance system reliability., • Lead teams in building real-time monitoring and observability of applications to preemptively identify potential issues., • Manage the response to other business partners to minimize service disruptions and maintain high availability., • Collaborate with development teams to ensure seamless code deployment and operational excellence., • Engaging in system design consulting, platform management, and capacity planning to support scalability and performance goals., • Influence and guide other teams to improve systems support, monitoring, and administration., • Exercise considerable judgment to make decisions pertaining to operational compliance with all security, privacy, audit, disaster recovery, and other company requirements., • Support regulatory audit requirements. Job-Specific Skills, Experience & Education Required • 4 years of experience in information technology., • A Bachelor’s degree, preferably with a focus in computer science, engineering, information systems, or an additional two years of training/experience in lieu of this degree., • Demonstrate experience in coaching and mentoring system engineers., • Minimum age of 18., • Must be authorized to work in the U.S., • High school diploma or equivalent is required. Preferred • Experience with SRE practices, agile methodologies, development lifecycles, and DevOps best practices., • Experience applying ITIL and IT process best practices., • Technical knowledge of application designs and architectures., • Experience with technical engineering working in IT operations., • Excellent communication skills and a proven ability to collaborate with a variety of team members., • Ability to work collaboratively with cross functional teams to understand objectives, gather automation requirements, write technical specifications and perform in a lead role., • Experience with event correlation., • Experience with Windows and Linux based operating environments., • Experience with multi-cloud environments., • Proven ability to successfully work with multiple vendors., • Strong interpersonal, organizational, communication, and customer service skills. Job-Specific Leadership Expectations • Embody our values to own safety, do the right thing, be kind-hearted, deliver performance, and be remarkable