Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! . See yourself at Twilio Join the Developer Platform Experience team under Platform Engineering as our next Software Engineer (L3). About the job We are actively recruiting for this role to fill an existing vacancy. This position will help users interact with Twilio’s internal developer platform, manage our software taxonomy and cloud infrastructure inventory, accelerate developer productivity via self-service tools, and drive adoption of engineering best practices throughout the company. In the near term the team is focused on modernization, working to transition away from in-house legacy systems to cloud-native platform solutions. Responsibilities In this role, you’ll: - Develop, test, and deploy backend, frontend, and client-side applications for internal use at Twilio - Collaborate with teammates and guest contributors via peer reviews, planning exercises, and pair programming - Mentor junior engineers as necessary - Write tickets, testing plans, and runbooks for the team, as well as internal documentation for users - Support internal users and ensure system uptime by participating in a 24x7 weekly on-call rotation - Continuously improve Twilio’s internal developer platform interfaces, local development tools, and platform onboarding processes - Independently own medium-sized features, authoring specifications and designs for features of moderate complexity Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: - Ability to work in a remote, async software development environment leveraging GitHub, Jira, Slack, and Zoom - Proficiency in any/all of the following programming languages: Typescript, Python, Go, Terraform, Bash - Experience developing and operating software in an AWS cloud environment - Experience with relational database concepts and operations - 5+ years of full-time job experience in a software engineering role - Experience with Terraform, Kubernetes, and infrastructure-as-code concepts Desired: - Prior experience working with a platform engineering focus in a software engineering organization - Strong opinions on developer experience and local development best practices - Familiarity with front-end web application development and frameworks such as React, Angular, or Vue - Familiarity with internal developer platform frameworks such as Backstage, OpsLevel, Cortex, or Battlestar - Fluency with AI platforms such as Claude, ChatGPT, and/or Copilot to accelerate software development - Experience with SaaS and open source observability tools, such as OpenTelemetry, Datadog, Grafana, and Prometheus Location This role will be remote and based in Ontario, British Columbia or Alberta, Canada. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. The estimated pay ranges for this role are as follows: - CAD $132,640.00 - CAD 1$65,800.00 Target Bonus Percentage is 12.5% Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Description At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We're turning today's impossible into tomorrow's standard -from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features. Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale. Role: Are you passionate about accelerating the future of autonomous driving? Join the Embodied AI team at General Motors. Our team is developing and deploying machine learning solutions that support safe and reliable autonomous vehicle behavior across real-world scenarios. As a Senior ML Infra Engineer, you will work on the core systems that enable rapid dataset generation, training, evaluation and iteration of our most advanced Autonomous Driving models. From enabling large foundational driving models to distilling multi-stage production deployed models, your goal will be to dramatically accelerate the machine learning development cycle from one modeling hypothesis to next. You will develop model training pipelines that are performant, easy to use, and exceptionally reliable. Your success will be measured by the velocity and impact of the ML models that rely on the scalable, intuitive, and high-performance training platforms you help create. What You'll Do: - Design, implement, and deploy scalable platforms and tools supporting machine learning training and evaluation workflows across GM. - Drive complex technical projects with strong ownership of implementation, code quality, and system reliability. - Contribute to technical design discussions and architectural decisions while collaborating with senior engineers and technical leads. - Work closely with partner teams to ensure platforms meet real-world ML development needs and maximize adoption. - Identify technical improvements and help prioritize platform investments to improve performance, reliability, and developer productivity. - Contribute to a strong engineering culture through high-quality code reviews, documentation, and operational excellence. - Support onboarding and mentoring of junior engineers and interns. What You'll Bring: - 3+ years of experience working on large-scale distributed systems, applications, or ML infrastructure. - Experience designing robust services or frameworks with durable, well-designed APIs. - Solid understanding of machine learning workflows and hands-on experience applying ML systems in production environments. - Experience building reliable, high-performance, and cost-efficient systems on modern cloud infrastructure. - Practical experience across the ML development lifecycle, including model training, deployment, and MLOps practices. - Strong cross-functional collaboration skills across teams and organizations. - Strong coding skills in Python or C++. - Interest in autonomous driving and large-scale ML systems. - BS, MS, or PhD in Computer Science, Mathematics, or equivalent practical experience. Nice to Have: - Experience with distributed training methodologies. - Experience scaling ML training across large GPU/CPU clusters or specialized accelerators. - Familiarity with deep learning frameworks such as PyTorch or TensorFlow. - Experience with performance profiling and training optimization techniques and their impact on model convergence and performance. - Experience with advanced build systems such as Bazel, Buck, Blaze, or CMake. - Proficiency with containerization and orchestration technologies (e.g., Docker, Kubernetes). Remote/Hybrid: This role is categorized as fully remote or hybrid. Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area. - The salary range for this role is $153,200.00 to $234,100.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. - Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: - Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. This job may be eligible for relocation benefits. #GM-AV-1 #LI-CX1 About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Total Rewards | Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Description At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We're turning today's impossible into tomorrow's standard -from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features. Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale. Role: Are you passionate about accelerating the future of autonomous driving? Join the Embodied AI team at General Motors. Our team is developing and deploying machine learning solutions that support safe and reliable autonomous vehicle behavior across real-world scenarios. As a Staff ML Infra Engineer, you will drive the development of core systems that enable rapid dataset generation, training, evaluation, and iteration of our most advanced Autonomous Driving models. From enabling large foundational driving models to distilling multi-stage production deployed models, your goal will be to dramatically accelerate the machine learning development cycle from one modeling hypothesis to next. You will deliver model training pipelines that are performant, easy to use, and exceptionally reliable. Your success will be measured by the velocity and impact of the ML models that rely on the scalable, intuitive, and high-performance training platforms you help create. What you'll do: - Lead the design, implementation, and deployment of scalable platforms and tools that drive machine learning model training and evaluation workflows across GM. - Own complex technical projects end-to-end, making key architectural decisions and technical trade-offs. You will be a core contributor to team planning, design reviews, and code quality. - Take a holistic view of projects, considering their impact across multiple teams, and across a longer timeline. - Proactively drive technical prioritization. Collaborate closely with partner teams to ensure maximum benefit from the systems we build. - Help shape our team through technical interviewing with high, well-calibrated standards, and play an essential role in recruiting. - Mentor and onboard junior engineers and interns, helping them grow their careers. What you'll bring: - 5+ years of experience building large-scale distributed systems, applications, or advanced ML systems-scale distributed systems, applications, or advanced ML systems - Proven track record of designing robust frameworks with high-quality, durable APIs. - Deep understanding of machine learning algorithms with hands-on application - Expertise in building reliable, high-performance, and cost-efficient systems on modern cloud infrastructure-performance - End-to-end experience across the ML development lifecycle, including MLOps practices - Strong cross functional collaboration skills across teams and organizations - Exceptional coding skills in Python or C++ - Strong interest in autonomous driving and its transformative potential - BS, MS, or PhD in Computer Science, Mathematics, or equivalent practical experience Nice to have: - Experience with distributed training methodologies - Experience scaling ML training across large GPU/CPU clusters or other accelerators - Familiarity with deep learning frameworks (e.g., PyTorch, TensorFlow) - Experience with performance profiling and state-of-the-art training optimization techniques, including their impact on model performance -of-the-art training optimization techniques, including their impact on convergence. - Experience with advanced build systems (e.g., Bazel, Buck, Blaze, CMake) - Proficiency with containerization and orchestration technologies (e.g., Docker, Kubernetes) Remote/Hybrid: This role is categorized as fully remote or hybrid. Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area. - The salary range for this role is $189,300.00 to $290,700.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. - Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: - Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. Relocation: This job may be eligible for relocation benefits. Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies. #GM-AV-1 #LI-CX1 About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Total Rewards | Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Company Description Experian is a global company in data services, helping organizations and consumers manage risk and make informed decisions. We empower individuals and businesses at important life moments, from purchasing a home to expanding customer bases. With over 125 years of experience, we specialize in data gathering, analysis, and fraud prevention. Our 21,700 employees across 30 countries are dedicated to innovation and creating opportunities for a better tomorrow. Recently ranked the fifth-best company to work for in Costa Rica, we prioritize inclusive culture, employee well-being, and career development. Join us at www.experian.com/careers to be part of our team. Job Description The Cloud Infrastructure Engineer is responsible for designing, building, and automating secure, scalable AWS infrastructure that supports Experian Health's cloud platform. This role focuses on Infrastructure as Code, reusable cloud patterns, EKS operations, and security best practices to enable application teams to deploy and operate efficiently in a multi-account AWS environment. You will report to the Software Engineering Software Engineer Manager. Qualifications - 5+ years of IT experience with at least 3 years in hands-on AWS infrastructure engineering. - Strong experience with Terraform and Infrastructure as Code principles. - Experience with core AWS services (VPC, EC2, IAM, RDS, S3, Load Balancers). - Experience working with Kubernetes (EKS preferred). - Solid understanding of AWS networking and cloud security fundamentals. - Strong communication skills and ability to collaborate across engineering teams. Responsibilities - Design and implement AWS infrastructure using Terraform (Infrastructure as Code). - Develop reusable infrastructure modules and standardized cloud patterns. - Build, maintain, and optimize Amazon EKS environments. - Partner with application teams to onboard and support cloud-native workloads. - Implement and enforce AWS security best practices (IAM, networking, encryption, logging). - Troubleshoot and continuously improve cloud reliability, automation, and cost efficiency. Additional Information Benefits/Perks: Our benefits include: Medical, life and dental insurance, Asociacion Solidarista, International Share Save Plan, Flex Work/Work from home, Paid time off, Annual Performance Bonus, Education Reimbursement, Family Bonding, Bereavement Leave, Referral Program, and more. This is a fully remote job opportunity. #LI-Remote Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward and recognition, volunteering... the list goes on. Experian's people first approach is award-winning; Great Place To Work™ in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. - Employee Status: Regular - Role Type: Hybrid - Department: Technology - Schedule: Full Time - Shift: Day Shift