Technical Support Engineering Intern Jobs

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for an L3 Support Engineer to join our team. This is a hybrid role, reporting to the Senior Manager, Product Support in the Customer Success department. Supporting strategic federal customers, this role requires strong technical troubleshooting skills, sound judgment, and the ability to manage complex escalations in secure and compliance-sensitive environments. You will work closely with customers, internal support teams, Engineering, and cross-functional stakeholders to drive timely resolution of critical issues while maintaining high standards of customer communication, security awareness, and operational discipline. What you’ll do (Role Expectations) Handle complex technical issues escalated from L1 and L2 support teams for federal customers Troubleshoot and resolve product, network, deployment, and configuration-related issues Work directly with customers through case handling, troubleshooting calls,

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. The Smart Manufacturing & AI (SMAI) organization develops AI-enabled solutions that drive business value, operational efficiency, and innovation across Micron. By combining software engineering, artificial intelligence, automation, and data-driven decision-making, the team delivers scalable technologies that improve productivity and accelerate digital transformation throughout the enterprise. As an AI Engineering Intern, you will design, develop, and support AI-enabled software solutions that address real-world business challenges across Micron. You will work on full stack applications, AI agents, LLM integrations, and modern software systems while gaining hands-on experience with production-grade AI technologies, cloud-native architectures, and AI-assisted software development practices. Responsibilities Design, develop, test, and support AI-enabled software applications using modern programming languages, web technologies, databases, APIs, and cloud-based architectures. Build and integrate AI capabilities such as large language models (LLMs), AI agents, retrieval systems, and intelligent automation solutions into enterprise applications. Collaborate with engineers, product owners, and business stakeholders to translate business requirements into scalable technical solutions. Utilize AI-assisted development tools, automation frameworks, and modern engineering practices to improve software quality, productivity, and delivery efficiency. Research, evaluate, and prototype emerging AI techn

We’re looking for Software Engineering Interns to help build and scale the systems that power Datadog’s observability and security platform. Interns contribute directly to real-world engineering challenges across backend, frontend, infrastructure, data engineering, and developer tooling while working alongside experienced engineers and mentors. You’ll help design, build, and improve systems that process and analyze massive volumes of metrics, logs, and application data in real time. Whether you’re interested in distributed systems, Kubernetes, AI-powered products like Bits AI, or developer platform tooling, you’ll work on meaningful projects that deliver impact to customers at global scale. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Contribute to production systems that process and analyze large-scale observability and application data in real time Build and improve distributed systems across backend infrastructure, developer platforms, and cloud-native services Help identify and solve performance, reliability, and scalability challenges in critical services supporting Datadog’s growing customer base Own and deliver technical projects from design through deployment with support from experienced engineers and mentors Develop technical expertise through hands-on experience with technologies such as Kubernetes, distributed systems, and cloud-native infrastructure Collaborate with fellow interns, mentors, and engineers while building software that delivers impact at global scale Who You Are: Pursuing a degree in Computer Science, Software Engineering, or a related technical field, or have equivalent practical experience Targeting a 2028 full-time start date Demonstrate strong computer science fundamentals, including data structures,

We’re looking for Software Engineering Interns to help build and scale the systems that power Datadog’s observability and security platform. Interns contribute directly to real-world engineering challenges across backend, frontend, infrastructure, data engineering, and developer tooling while working alongside experienced engineers and mentors. You’ll help design, build, and improve systems that process and analyze massive volumes of metrics, logs, and application data in real time. Whether you’re interested in distributed systems, Kubernetes, AI-powered products like Bits AI, or developer platform tooling, you’ll work on meaningful projects that deliver impact to customers at global scale. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Contribute to production systems that process and analyze large-scale observability and application data in real time Build and improve distributed systems across backend infrastructure, developer platforms, and cloud-native services Help identify and solve performance, reliability, and scalability challenges in critical services supporting Datadog’s growing customer base Own and deliver technical projects from design through deployment with support from experienced engineers and mentors Develop technical expertise through hands-on experience with technologies such as Kubernetes, distributed systems, and cloud-native infrastructure Collaborate with fellow interns, mentors, and engineers while building software that delivers impact at global scale Who You Are: Pursuing a degree in Computer Science, Software Engineering, or a related technical field, or have equivalent practical experience Targeting a 2028 full-time start date Demonstrate strong computer science fundamentals, including data struc

About the Team OpenAI’s User Operations team shepherds our customer’s adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We are looking for a Technical Program Manager to join our Senior Support Engineering team. This role is an exciting opportunity to help define and implement foundational support practices that will scale with OpenAI’s growth. You will lead efforts to establish new operational frameworks, driving process alignment with various internal teams, and leading tooling and automation projects. This position offers the chance to make a significant impact in shaping customer experience while collaborating across multiple teams. We’re looking for people who thrive at the intersection of project management, systems building, data science/data engineering/software engineering, team enablement, and customer advocacy – and enjoy working cross-functionally in a fast-paced, evolving environment. This role is based in San Francisco, CA, and follows a hybrid work model of 3 days in-office per week. Relocation assistance is available. In this role, you will: Lead support delivery programs for Tier 3 frontline delivery for our most strategic customers, including productivity and workflow improvements, team operations, and knowledge management for the Support Delivery team Partner with Support Delivery and cross-functional leadership to define the experience, stand up the program, manage pilots and rollout, and ensure premium operations and

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Technical Lead - Technical Support As a Technical Support Team Lead, you will lead a team that operates as a first point of contact for Adyen’s merchants across the globe. You will guide and develop the Technical Support team that works directly with merchants to help solve complex technical and operational questions. Day-to-day you will be working with multiple teams across Adyen, such as Operations, Engineering, Product, Account Management and Sales to provide white glove service and support. Our team is merchant-focused, highly motivated and thrives on our shared success. You will be part of an international team with diverse backgrounds and skill sets. With Adyen being a 24/7 business we operate throughout time zones using a follow the sun principle. Our extensive payments knowledge and technical skillset is our most valuable asset both to our merchants and our internal teams. What you’ll do Lead a customer facing team that is a key source of knowledge on the Adyen platform and APIs, the underlying technology stack, and industry-standard integration methods and best practices Collaborate across an international leadership team by scheduling and participating in monthly meetings, standardizing best practices and developing global alignment as we scale Coach and mentor members of the Support team to fully prepare

Apply early for priority consideration. Gallup has limited openings for this internship, and the position will be filled quickly. Gallup’s IT team keeps associates around the world connected, equipped and ready to work. As a summer intern, you’ll be part of that effort, providing technical support, troubleshooting problems and gaining experience with the systems and technology that support Gallup’s mission to improve workplaces and lives. What You’ll Do During your internship, you will: Ensure all Gallup users, including visiting associates, have world-class technical support to do their jobs perfectly Build close relationships with Gallup associates and educate them in a Microsoft Windows end-user and server environment and in an Apple Mac environment Learn new processes and systems quickly and multitask while maintaining a customer-oriented focus Support all office technology and equipment by troubleshooting workstations and workstation software, maintaining network equipment (e.g., file servers, routers and switches), and monitoring all critical business systems and applications for uptime and availability What You Need Enrollment in an associate or bachelor’s degree program in computer science, computer engineering or a related field required Enrollment at a college or university within a 250-mile radius of Omaha, Nebraska, required Anticipated graduation between August 2027 and May 2028 preferred; will consider 2029 graduates Availability to work 40 hours per week for 12 weeks during the summer of 2027 required A commitment to working on-site at Gallup’s Omaha office Monday through Thursday required, with the option to work remotely on Friday Broad knowledge of networking, computer hardware and software applications required Experience troubleshooting technical issues required Experience working in a Windows user and server environment required Experience supporting all Microsoft Office applications preferred; Apple Mac experience a plus Eligibility to work in

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Role As an intern on Decagon’s Engineering team, you’ll be part of a pioneering group shaping the future of intelligent agents. You’ll contribute directly to production-ready initiatives that address real team needs, gaining hands-on experience and leaving your mark on meaningful, high-visibility work. This is a 12-week internship running June 1 – August 20, 2027, based out of our San Francisco office. This role is designed for candidates graduating between December 2027 and July 2028. Your background looks something like this You will graduate by summer 2028 with a degree in Computer Science or a related technical field You have experience from previous software engineering internships You write amazing code, fast Experience using AI coding agents as part of development You are excited to thrive in a fast-paced environment, continuously learn, and sharpen your skills Even better Prior experience working with multi-modal models Experience with distributed systems, data pipelines, or produ

P-1388 As a Sr. Manager of the Data & AI Support Engineering team, you will lead and manage a team of Technical Solutions Engineers responsible for driving deep technical resolutions for complex customer issues across Spark, AI/ML, Streaming, and Lakehouse platforms. You will help customers realize business value from Databricks Ecosystem products through strong technical leadership, AI-first operational innovation and customer-centric execution. Mission Lead and scale a world-class AI-first Data & AI Support Engineering organization that combines deep technical expertise, operational excellence, intelligent automation and customer-centric support to accelerate issue resolution, improve platform reliability and drive exceptional customer outcomes across enterprise-scale Data and AI workloads. Build AI-enabled support workflows and reusable automations to improve resolution speed and support quality. Use Agentic AI systems, logs, telemetry, observability platforms and internal systems to accelerate troubleshooting and root-cause analysis safely. Create reusable runbooks, prompts, and agentic workflows that scale operational efficiency across teams. Ensure strong AI governance, customer data safety, validation practices, auditability, and human-in-the-loop controls. Partner with Engineering and Product teams to drive AI-first support innovation and operational excellence. Outcomes Drive AI-first support transformation initiatives that improve resolution speed, case quality, operational efficiency and customer experience. Partner with Engineering and Product teams to operationalize AI-assisted diagnostics, observability insights, and intelligent escalation management for enterprise customers. Build and scale reusable AI-enabled workflows, automations, runbooks, and operational intelligence frameworks across the support organization. Lead and manage Technical Solutions Engineers, Team Leads, and support operations personnel across AMER support functions based ou

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. Your Location This position is CHINA BASED. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. Your recruiter will inform you what cities you are able to work from depending on your personal legal working identity and Airbnb internal policies. The Community You Will Join: Community Support (CS) has increasingly become a key driver of enabling Airbnb's core business. The Community Support Engineering team is responsible for the world-class technology, architecture, and solutions that power CS at Airbnb. The products and capabilities we build empower our guests and hosts, CS agents, and operations teams around the world. As part of the CS Product vision, we are leveraging AI to transform how we deliver customer service - combining advanced ML/LLM capabilities with the expertise of our Support Ambassadors to create a seamless, high-quality support experience. The Difference You Will Make: As an ML Manager within Community Support Product Engineering in China, you will lead a team of machine learning engineers to research, design, and optimize AI models and services that scale AI-powered products and measurably improve the end-to-end Community Support experience for guests, hosts, and support ambassadors. What You’ll Do: Hire, mentor and guide a dynamic team of highly skilled machine learning engineers, fostering their technical growth and professional development. Proactively take initiatives to drive for outcomes over the scope of the team. Build relationships and drive alignment with stakeholders within

Job Requisition ID # 26WD101523 Position Overview We are looking for a Senior Technical Support Specialist with strong experience in plastic injection molding and simulation to help customers solve complex engineering challenges using Autodesk Moldflow. In this role, you will combine technical expertise, problem-solving, and strong communication skills to troubleshoot simulation and manufacturing issues, interpret results, and help customers get the most value from Autodesk products. You will also contribute to the future of technical support by using emerging AI, automation, and connected Autodesk workflows across Moldflow, Fusion, and related technologies. Responsibilities Provide expert technical support for Autodesk Moldflow customers. Diagnose and resolve issues involving geometry, meshing, materials, process settings, solver behavior, and simulation results. Help customers distinguish between software issues, modeling assumptions, and real-world molding or manufacturing challenges. Research, reproduce, and document product issues and collaborate with Product Development and Engineering teams as needed. Create clear technical articles, troubleshooting guidance, and reusable knowledge for customers and internal teams. Use AI-assisted tools to improve troubleshooting, research, and knowledge creation while validating technical accuracy with sound engineering judgment. Develop expertise in connected Autodesk workflows, including Moldflow, Fusion, and related design and manufacturing technologies. Minimum Qualifications 3-5+ years of experience with plas

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Stripe is beloved by developers for the simplicity of our APIs, the thoroughness of our documentation, and our focus on developer experience. The Technical Solutions Engineering (TSE) team is the glue that supports our developer-users and champions developer experience as being central to the overall experience of our users. TSE interacts directly with developer-users more than any other team at Stripe, so your role will have a significant impact on what Stripe is known for and values most. When we do our job well, developers all over the world are able to smoothly launch and grow their businesses on Stripe, whether they’re integrating payments for the first time or building complex financial systems. What you’ll do TSEs understand the fundamentals of programming incredibly well and eagerly jump in and familiarize themselves with others’ code. You will do a wide variety of things, including explaining technical concepts about Stripe’s products, build and debug integrations with developers, and produce/improve guides that help our users solve particular problems to be successful with Stripe. You will interact with developers of all skill levels through a variety of mediums, enabling them to be successful when using Stripe. Early on, current team members will devote a large amount of time to teaching you and helping you get to a level of comfort and expertise with Stripe, its services, and how we interact with users. Later, we

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Stripe is beloved by developers for the simplicity of our APIs, the thoroughness of our documentation, and our focus on developer experience. The Technical Solutions Engineering (TSE) team is the glue that supports our developer-users and champions developer experience as being central to the overall experience of our users. TSE interacts directly with developer-users more than any other team at Stripe, so your role will have a significant impact on what Stripe is known for and values most. When we do our job well, developers all over the world are able to smoothly launch and grow their businesses on Stripe, whether they’re integrating payments for the first time or building complex financial systems. What you’ll do TSEs understand the fundamentals of programming incredibly well and eagerly jump in and familiarize themselves with others’ code. You will do a wide variety of things, including explaining technical concepts about Stripe’s products, build and debug integrations with developers, and produce/improve guides that help our users solve particular problems to be successful with Stripe. You will interact with developers of all skill levels through a variety of mediums, enabling them to be successful when using Stripe. Early on, current team members will devote a large amount of time to teaching you and helping you get to a level of comfort and expertise with Stripe, its services, and how we interact with users. Later, we’d love

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. What is our Mission Toast has established itself as the leading hospitality platform in the US, and we are now setting our sights on the global stage. As part of the International team, in our mission to expand globally, we are building what it takes to help our customers thrive. You will join a high-impact, high-ownership engineering team solving complex technical challenges. We are looking for leadership that balances technical excellence with a strong customer mindset to drive continuous growth for both the team and our platform. A day in the life (Responsibilities) Lead complex projects within a cross-functional collaborative and supportive environment. Design, build, deploy and maintain highly resilient and scalable systems critical to our customers’ success. Mentor and provide technical guidance to team members, leading technical discussions and promoting best engineering practices. Work directly with pilot customers (sometimes in the restaurant!) to ensure successful delivery and operation Advocate for best coding practices, raising the bar for yourself, your team, and the company. Leverage cutting-edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team. What you'll need to thrive (Requirements) 8+ years of experience in delivering high quality, reliable services to production using Java, Kotlin or other object oriented language(s) Proven track record of architecting, supporting and debugging large distributed & multi threaded applications. Drive to work across our tech stack and support other engineers in resolving challenging problems Passionate about making users happy and seeing people use your product in the wi

We are building a new Technical Services capability in Mexico to support a platform that helps customers build, deploy, and operate AI applications using MongoDB. This is an early hire on a growing team, and you will have the opportunity to help shape how we support customers, collaborate with Engineering and Product, and build the team’s technical practices from the start. The platform brings together AI application workflows, orchestration, model and tool integrations, cloud infrastructure, data services, and observability. The support team will work across these layers to help customers troubleshoot complex issues and operate their applications successfully. We are looking to speak to candidates who are based in Mexico City for our hybrid working model. The role As a Technical Services Engineer, you will help customers build, deploy, and operate AI applications on a new MongoDB platform. You will investigate issues across application behavior, agent workflows, APIs, cloud infrastructure, and data services, while contributing to the broader MongoDB Technical Services organization as customer needs evolve. This role is a strong fit for an engineer who enjoys learning new technologies, working directly with customers, and applying structured troubleshooting to complex systems. What you need Supporting customers and internal stakeholders working with AI applications and agentic workflows Investigating issues involving LangGraph execution, MCP and tool integrations, model-provider behavior, memory, checkpoints, streaming, retries, and timeouts Reading and debugging, Go, Typescript and Python services and agent implementations Troubleshooting Docker and Kubernetes workloads, including deployments, containers, networking, secrets, resource failures, and deployment configuration Using logs, metrics, traces, and application errors to form hypotheses and identify root causes Troubleshooting MongoDB Atlas connectivity, authentication, TLS, network access, indexing, and vect