It Support Engineer Jobs

A Career with point72’s Technology team As Point72 reimagines the future of investing, our Technology team is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open-source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. What you’ll do Provide high‑quality technical support via phone, chat, email, and self‑service channels while delivering white‑glove service to global employees. Diagnose and resolve incidents across end‑user technologies (Windows/Mac), Microsoft 365, collaboration tools, financial/trading apps, mobile devices, and enterprise applications. Troubleshoot identity, networking, and endpoint issues including Active Directory, VPN, device configuration, endpoint management, and mobile device management. Deliver first‑contact resolution whenever possible while logging, categorizing, prioritizing, and managing tickets in the ITSM platform according to SLAs. Escalate complex issues with clear technical documentation, diagnostic details, and handoff notes to downstream support teams. Create, improve, and maintain knowledge base content, capturing troubleshooting steps, solutions, and best practices. Participate in structured shift handovers and support follow‑the‑sun operational coverage. Identify opportunities for automation, self‑service enhancements, process improvements, and overall service optimization. Communicate clearly and professionally with users, manage expectations, provide timely updates, and maintain composure under pressure. Support operational excellence by contributing to continuous improvement initiatives and maintaining strong documentation discipline. What’s REQUIRED Bachelor’s degree in computer science or related discipline,

At FourKites we have the opportunity to tackle complex challenges with real-world impacts. Whether it's medical supplies from Cardinal Health or groceries for Walmart, the FourKites platform helps customers operate global supply chains that are efficient, agile and sustainable. Join a team of curious problem solvers that celebrates differences, leads with empathy and values inclusivity. As a Senior AI Engineer, you'll join a 10-person team focused on data integrations (shippers and carriers moving in and out of the FourKites ecosystem) and our active AI agent workstreams — including a support automation agent handling 60-70% of customer tickets, a voice agent that calls carriers to gather and update information, and an end-to-end carrier onboarding agent (email + voice). You'll work on features end to end (~75-80% backend, ~20-25% frontend) using Python, Java/GoLang, agentic frameworks like LangGraph, React, Redis and PostgreSQL. You'll develop products that change the logistics landscape for some of the biggest corporations in the world, and work closely with our US team and customers to shape the future of the industry. What you’ll be doing: Design, build, and productionize AI agents/workflows (e.g., support automation, voice, and onboarding agents) using agentic frameworks such as LangGraph Develop, test, and maintain backend applications in Python and Java or GoLang Write clean, efficient, and well-documented code across the full SDLC — development, QA, and release Design and implement data models and database schemas Collaborate with the frontend team to integrate the backend with the user interface Perform code reviews and ensure code quality standards are met Troubleshoot and debug applications, including AI agent workflows in production Work with the DevOps team to deploy and manage applications in production (Kubernetes) Continuously learn and stay up to date with new technologies and industry trends, particularly in the AI/agentic space About the team: Our

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role Modal's LLM inference platform delivers frontier performance for open-source models with best-in-class elasticity and developer experience, made in part possible by our custom runtime with GPU memory snapshots and multi-cloud substrate . We're looking for a leader to own the direction and execution of this platform to continue to establish us as the clear market leader, working closely with customers like Cognition, Doordash, Ramp, and many more. You'll be leading a group of highly talented engineers working on our market-leading LLM inference offering, spanning the serving stack, routing infrastructure, internal agentic optimization platform, and the user-facing product surface area. This is a hands-on leadership role — expect to split your time between technical contribution, product shaping and people management depending on what the team needs. You'll set direct

Become a part of our caring community Every large organization is making critical decisions today about how it will leverage AI over the next decade. Few have leaders who can both define that vision and demonstrate its viability through hands-on engineering. This role requires both. We build the platform that transforms millions of clinical documents into trusted, actionable data. Our systems use large language models (LLMs) to read medical records, extract structured facts, answer complex questions with citations to source documents, and route difficult cases to human experts. These capabilities support decisions that impact real healthcare outcomes for members. As a Principal AI Applied Engineer, you will define the technical strategy, architectural standards, and long-term vision for AI-enabled products across the organization. You will influence enterprise-wide decisions regarding AI platforms, model strategies, engineering standards, and technology investments while remaining deeply hands-on in prototyping, experimentation, architecture, and software development. This is the highest-level individual contributor role within the AI Applied Engineering organization. Success requires exceptional technical depth, organizational influence, strategic thinking, and the ability to translate emerging AI capabilities into scalable, reliable, and responsible production systems. Why Join Us Shape the long-term AI architecture and engineering direction for a large enterprise healthcare organization. Influence how AI-enabled products are designed, built, evaluated, deployed, and governed across multiple teams. Drive strategic decisions involving models, vendors, platforms, infrastructure, and shared capabilities. Prototype and validate emerging technologies before the organization invests at scale.</

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role We're looking for an Engineering Manager to lead a team of highly experienced engineers building the infrastructure that powers Modal's serverless GPU platform. This is a hands-on leadership role — expect to split your time between technical contribution and people management depending on what the team needs. You'll set direction, remove blockers, and build a strong engineering culture as your team tackles hard problems in distributed computing, large-scale data handling, and performance optimization. Who You Are You're an experienced engineering leader who stays close to the work and builds alongside your team when it counts. You earn trust through technical depth, not title. You communicate clearly, help strong engineers move fast without cutting corners, and stay calm and pragmatic under pressure. You care as much about how your team gets to an answer as the answ

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We're looking for a Detection & Response Engineer to build the systems that help us identify, investigate, and respond to threats across our platform. This is an engineering role focused on automation. You'll build detections, investigation tooling, and response capabilities that scale with our infrastructure, using AI where it meaningfully improves signal, investigation speed, and operational effectiveness. You'll work closely with infrastructure, platform, and security engineers to ensure every incident makes the platform more resilient. What You'll Work On: Detection Engineering Design and build high-fidelity detections for attacks, abuse, and anomalous behavior across our infrastructure and production systems Continuously improve detections based on telemetry, threat intelligence, and lessons learned from incidents Improve visibility across cloud infrastruc

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We’re looking for an Engineering Manager to lead a group of highly experienced engineers. This is a hands-on leadership role where you’ll spend roughly half your time on technical contribution and half on people management, depending on the need. You’ll work closely with the team to set direction, remove blockers, and foster a strong engineering culture as they tackle complex systems challenges in distributed computing, large-scale data handling, and performance optimization. Who You Are: We think you are an experienced engineering leader who thrives close to the work and enjoys building alongside their team when needed. You earn trust through technical depth, communicate with clarity, and help great engineers move fast and make sound decisions. You thrive in a fast paced environment, you are pragmatic, calm under pressure, and focused on impact. Requirements: At l

The Team This role can sit in our NYC HQ on a hybrid basis, or it can be fully remote while working from a location based in either Eastern or Central time zones. We are looking for an experienced Senior Engineer for our SRE, Atlas team to support, maintain and grow the Atlas platform. As a senior SRE, you will be expected to be able to design & build complex systems, operate with autonomy and act as owner for everything you do. The SRE Atlas team works alongside the various Atlas software engineering teams to provide expertise about running systems at scale, build new tooling and automation and perform essential maintenance of the Atlas fleet. This is an SRE team, which means you can expect a highly hands-on approach, tackling the technical challenges of implementing large scale solutions that have the ability to impact our customer’s most crucial workloads. Role Overview We are seeking a talented Site Reliability Engineer (SRE) with a strong infrastructure background. This role requires engineers to have a customer-first mindset to ensure that everything we do results in a stronger product and a better experience for all Atlas customers. The ideal candidate should Have 5+ years of experience running critical systems at scale Value efficiency in processes and operations, and display a preference for automation over manual processes (“allergic to ops work”) Be familiar with a major cloud provider (AWS, Azure, or GCP) and possess the ability to build and operate systems in a multi-cloud environment A strong understanding of how to run a large scale Linux environment, including low level fundamentals Firm grasp of at least one modern programming language, beyond basic scripting (Go, Ruby, Python) Solid understanding of web and network protocols and standards (HTTP, TLS, DNS, etc) Special Requirements: Be a US Citizen Expectations Participate in the development of a reliable and resilient multi-cloud platform that hosts business critic

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. L9 - Senior Business Solutions Engineer, Legal Tech 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. The Community You Will Join: The Legal Technology team, within the BizTech organization, leads the mission to deliver innovative technology, empowering our legal function to utilize technology productively, driving connection, and scale support. This role sits within BizTech and partners directly with Airbnb's global Legal organization to accelerate the deployment of AI-powered tools, implementation of legal systems & integrations, and workflow automation across the CLO org. The Difference You Will Make: We're looking for a world-class Senior Business Systems Engineer to help redefine how Legal operates. You'll deliver fast, practical solutions using internal tools and agentic AI — owning system and tool changes end-to-end, from design through support. You'll spot what's slowing teams down, champion best practices, and safeguard data integrity across our platforms — all while staying ahead of how AI is reshaping the way we work. This isn't conventional IT or Legal Ops. You'll be embedded directly within our Legal teams, solving real challenges in real time. As a key driver of our Legal Tech strategy, you'll lead the deployment of AI agents, legal application implementations, and automation that

When 5% of Indian households shop with us, it’s important to build data-backed, resilient systems to manage millions of orders every day. We’ve done this – with zero downtime! 😎 Sounds impossible? Well, that’s the kind of Engineering muscle that has helped Meesho become the e-commerce giant that it is today. We value speed over perfection, and see failures as opportunities to become better. We’ve taken steps to inculcate a strong ‘Founder’s Mindset’ across our engineering teams, making us grow and move fast. We place special emphasis on the continuous growth of each team member - and we do this with regular 1-1s and open communication. Tech Culture We have a unique tech culture where engineers are seen as problem solvers. The engineering org is divided into multiple pods and each pod is aligned to a particular business theme. It is a culture driven by logical debates & arguments rather than authority. At Meesho, you get to solve hard technical problems at scale as well as have a significant impact on the lives of millions of entrepreneurs. You are expected to contribute to the Solutioning of product problems as well as challenge existing solutions. Meesho’s user base has grown 4x in the last 1 year and we have more than 50 million downloads of our app. Here are a few projects we have completed last year to scale oursystems for this growth: ● We have developed API gateway aggregators using frameworks like Hystrix and spring-cloud-gateway for circuit breaking and parallel processing. ● Our serving microservices handle more than 15K RPS on normal days and during saledays this can go to 30K RPS. Being a consumer app, these systems have SLAs of ~10ms ● Our distributed scheduler tracks more than 50 million shipments periodically fromdifferent partners and does async processing involving RDBMS. ● We use an in-house video streaming platform to support a wide variety of devices and networks.

Strength in Trust OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. The Challenge We're looking for a Staff Software Engineer to help lead technical direction in support of D eveloper E xperience at OneTrust. Staff Engineers determine their own approach on complex, often ambiguous assignments, and their technical judgment is trusted well beyond their immediate team. Your Mission Technical Leadership & Architecture Lead design and architecture for major features or components, ensuring alignment with the broader system architecture. Independ ently d etermine approach and methods on complex, ambiguous assignments without an established playbook. Cross-Team Collaboration Partner with other engineering teams, and architecture to shape solutions before implementation begins. Build working relationships and technical credibility beyond your immediate team. Quality & Standards Establish and champion engineering best practices adopted by your team and beyond. Maintain a strong focus on customer outcomes Mentorship Mentor Senior and mid-level engineers, helping them grow their techni

SmartBear delivers application integrity for modern tech stacks, ensuring continuous, measurable assurance that software just works as intended with governance to operate at AI speed and scale. SmartBear offers deep test automation, API lifecycle management, and observability capabilities. With integrations across the SDLC, it sets a new quality standard for application delivery teams. SmartBear is trusted by developers, testers, and software engineers across 32,000 organizations, including 75% of the largest financial institutions and industry leaders such as Adobe, JetBlue, and Microsoft. SmartBear’s open source tools are downloaded more than 100 million times a month and have earned over 30,000 GitHub stars from the developer community. With its best-loved brands, including Swagger, TestComplete, Reflect, QMetry, Zephyr, and more, SmartBear meets customers where they are to make our technology-driven world a better place. Learn more at www.smartbear.com , or follow us on LinkedIn , X , and Reddit . At SmartBear, you will be part of a dynamic team solving one of the most critical challenges facing modern businesses: ensuring the integrity of software in an AI-driven world. Whether you are working directly with customers, driving go to market strategies, supporting operations, building products, or enabling teams, your contributions help shape the future of software quality for organizations worldwide. Join us in our mission. Summary Support enterprise customers as they adopt BugSnag to improve application stability and software quality. Partner with Sales to deliver technical demonstrations, proof of concepts, and customer evaluations. Build expertise in observability, troubleshooting, and customer-facing solution engineering while growing your technical career. Product Introduction BugSnag helps engineering teams proactively monitor application stability by identifying, prioritizing, and resolving software errors across web,

SmartBear delivers application integrity for modern tech stacks, ensuring continuous, measurable assurance that software just works as intended with governance to operate at AI speed and scale. SmartBear offers deep test automation, API lifecycle management, and observability capabilities. With integrations across the SDLC, it sets a new quality standard for application delivery teams. SmartBear is trusted by developers, testers, and software engineers across 32,000 organizations, including 75% of the largest financial institutions and industry leaders such as Adobe, JetBlue, and Microsoft. SmartBear’s open source tools are downloaded more than 100 million times a month and have earned over 30,000 GitHub stars from the developer community. With its best-loved brands, including Swagger, TestComplete, Reflect, QMetry, Zephyr, and more, SmartBear meets customers where they are to make our technology-driven world a better place. Learn more at www.smartbear.com , or follow us on LinkedIn , X , and Reddit . At SmartBear, you will be part of a dynamic team solving one of the most critical challenges facing modern businesses: ensuring the integrity of software in an AI-driven world. Whether you are working directly with customers, driving go to market strategies, supporting operations, building products, or enabling teams, your contributions help shape the future of software quality for organizations worldwide. Join us in our mission. Summary Support enterprise customers as they adopt BugSnag to improve application stability and software quality. Partner with Sales to deliver technical demonstrations, proof of concepts, and customer evaluations. Build expertise in observability, troubleshooting, and customer-facing solution engineering while growing your technical career. Product Introduction BugSnag helps engineering teams proactively monitor application stability by identifying, prioritizing, and resolving software errors across web,

Artefact is a new generation of data service providers, specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner… About the role ... As a Cloud Architect Manager at Artefact, you will be responsible for designing, implementing, and overseeing robust, scalable, and secure cloud solutions that support our clients’ data and technology ecosystems. You will collaborate closely with technical teams and business stakeholders to ensure cloud architecture is aligned with business needs, optimizing tool selection, cost efficiency, and scalability. Additionally, you will lead technical teams, mentor engineers, and contribute to Artefact’s growth by driving innovation and promoting best practices in cloud technology. What you'll be doing ... Lead the design and implementation of cloud infrastructure architectures (cloud, on-premise, hybrid) aligned with business requirements. Define and enforce best practices for cloud platform deployment and configuration, security, networking, operations and tools selection. Oversee the integration of cloud platforms with data pipelines, storage, and compute services. Standardize coding, deployment, and monitoring practices across cloud environments. Design and implement automated solutions to set up, monitor, and adjust cloud infrastructure efficiently. Lead problem-solving initiatives for complex technical challenges related to cloud environments. Provide technical leadership across multiple cloud projects, ensuring efficient resource management. Foster teamwork by mentoring, coaching and guiding cloud engineers and ensuring knowledge transfer. Manage client relat

Artefact is a new generation of data service providers, specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner… About the role ... As a Cloud Architect Manager at Artefact, you will be responsible for designing, implementing, and overseeing robust, scalable, and secure cloud solutions that support our clients’ data and technology ecosystems. You will collaborate closely with technical teams and business stakeholders to ensure cloud architecture is aligned with business needs, optimizing tool selection, cost efficiency, and scalability. Additionally, you will lead technical teams, mentor engineers, and contribute to Artefact’s growth by driving innovation and promoting best practices in cloud technology. What you'll be doing ... Lead the design and implementation of cloud infrastructure architectures (cloud, on-premise, hybrid) aligned with business requirements. Define and enforce best practices for cloud platform deployment and configuration, security, networking, operations and tools selection. Oversee the integration of cloud platforms with data pipelines, storage, and compute services. Standardize coding, deployment, and monitoring practices across cloud environments. Design and implement automated solutions to set up, monitor, and adjust cloud infrastructure efficiently. Lead problem-solving initiatives for complex technical challenges related to cloud environments. Provide technical leadership across multiple cloud projects, ensuring efficient resource management. Foster teamwork by mentoring, coaching and guiding cloud engineers and ensuring knowledge transfer. Manage client relat