System Engineering Intern Jobs

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Drive the quality strategy for our innovative enterprise storage platform, ensuring zero-downtime resilience across physical hardware and cloud environments like Cloud Block Store and CloudSnap. In this engineering leadership role, you will scale systems testing, feature interoperability, and test automation for mission-critical global applications. Partnering directly with cross-functional development, support, and escalation teams, you will champion a customer-first quality model. This position elevates overall product reliability while shaping how cutting-edge software resilience is delivered at scale. WHAT YOU'LL DO Define & Execute Quality Strategy: Own end-to-end system test designs with a focus on large-scale feature interoperability to guarantee zero-downtime performance across enterprise and cloud environments. Build High-Impact Automation & Tooling: Design and deploy automated test workflows and triage tooling to accelerate defect detection, drastically reducing execution friction across thousands of automated test suites. Simulate Real-World Customer Workflows: Replicate complex customer deployment architectures to validate real-world fault tolerance and overall resilience against failure domains. Drive Root-Cause Resolution: Partner directly with escalation and support engineering teams to analyze and resolve complex defects, utilizing customer feedback loops to eliminate quality gaps. Lead Agi

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Drive the mission-critical quality strategy for the industry’s most innovative, high-performance storage array platform. In this pivotal engineering leadership role, you will scale systems testing, feature interoperability, and test automation to ensure zero-downtime resilience for global enterprise applications. Partnering directly with cross-functional development, support, and escalation engineering teams, you will champion a customer-first quality model across physical hardware and cloud-native environments (Cloud Block Store, CloudSnap). This position elevates product reliability and shapes how cutting-edge software resilience is delivered at scale. WHAT YOU'LL DO Define & Execute Quality Strategy: Ownership of end-to-end system test designs, focusing on feature interoperability at scale to guarantee zero-downtime performance across enterprise and cloud environments. Build High-Impact Automation & Tooling: Design and deploy automated test workflows and triage tooling to accelerate defect detection, drastically reducing execution friction across thousands of automated test suites. Real-World Customer Simulation: Replicate complex customer deployment architectures and enterprise application workflows to validate real-world resilience, fault tolerance, and resilience against failure domains. Root-Cause Resolution & Continuous Improvement: Partner directly with escalation and support teams to reproduc

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Overview We are looking for a strong software and platform engineer to join our Production Engineering team in Bangalore as an individual contributor in FA ProductionEng APJ. This role will help build and operate internal platforms that improve how we provision, observe, govern, and troubleshoot engineering infrastructure at scale. The fleet management use cases that give teams a single place to understand and operate the test infrastructure. If you enjoy building internal platforms that remove friction, improve visibility, and make engineering teams faster and more effective, this role is for you. Why This Role Is Unique This is not a typical application development role.You will work on internal platforms that directly shape how engineering teams consume and manage shared infrastructure. The role spans platform engineering, workflow automation, observability, API-driven services, and infrastructure lifecycle management. The right candidate will work on systems such as: Self-serviceability workflows and lease-based testbed governance. Developer Platform dashboards and APIs used for triage, visibility, and product trend observation. Testbed and workflow orchestration across fleet management domains. Impact This role is a high-leverage engineering investment. The work will improve how engineering teams provision testbeds, understand failures, operate shared infrastructure, and move faster with less friction. Better

About the Role REMOTE IN INDIA We're looking for a software engineer to build the Kubernetes-native control plane that provisions and runs our GPU inference fleet. You'll design a manifest-driven API where the inference team declares what they need, whether that's a cluster, a model deployment, or a capacity change, and our controllers handle the reconciliation, provider/runtime selection, and lifecycle management underneath, so the inference team never has to know or care which specific serving stack, scheduler, or hardware pool is doing the work. You'll also build the systems that keep the fleet efficient, not just running, including defragmentation and rebalancing logic that consolidates scattered workloads back into contiguous capacity, and scheduling/bin-packing improvements that push GPU utilization up without hurting latency. The core value we're after is decoupling the people building on top of the platform from the operational and runtime complexity underneath, while squeezing more usable capacity out of the same hardware. You'll build the controllers, reconciliation loops, and self-service surface (API/CLI, not tickets) that make that decoupling real, plus the event-driven health, remediation, and utilization systems that keep it running and efficient without a human in the loop. Strong candidates have hands-on experience with Kubernetes controller/CRD patterns, have built or operated a platform API that abstracts multiple backends behind one interface, understand GPU scheduling and capacity efficiency (fragmentation, bin-packing, right-sizing), and think about GPU infrastructure as software to be engineered. A product mindset - you've built internal platforms or APIs consumed by other engineering teams and care about the developer experience of what you ship. You build it, you own it. You are not only responsible for delivering the software but also for operating and supporting it in production. Responsibilities Build the provisioning state machine

Help shape the technology that enables a global organisation to do its best work. As Senior Manager, Platform Engineering, you’ll lead the team responsible for Diligent’s Atlassian and Microsoft platforms while setting the architectural direction for the wider internal IT estate. You’ll combine people leadership, enterprise platform strategy and hands-on technical judgement to create secure, reliable and scalable experiences for employees worldwide. From modernising service management and automating joiner, mover and leaver processes to enabling AI safely through Microsoft Copilot and Atlassian Rovo, your work will reduce friction, strengthen governance and deliver measurable business impact. Working across IT, Security, HR, Finance, Legal, Compliance and business teams, you’ll turn complex requirements into well-governed platforms that are easy to use, resilient and ready for the future. Here’s a breakdown of what you’ll do (not all of it, just the important stuff) Lead, coach and grow a global team of platform engineers and systems administrators, building a high-performing and inclusive culture. Own the strategy, architecture, governance and roadmap for Atlassian Cloud, including Jira, Jira Service Management, Confluence, Atlassian Guard and Rovo. Set the direction for Diligent’s Microsoft 365 E5 estate, including Teams, SharePoint, Exchange Online, Intune, Defender, Purview, Power Platform and Copilot. Design scalable integration and automation patterns across identity, HRIS, ITSM and business systems using APIs, event-driven automation, Okta Workflows, Power Platform and scripting. Partner with IT Support to improve self-service, automate repetitive work and reduce ticket volume, escalation effort and time to resolution. Establish strong standards for security, access governance, AI adoption, reliability, compliance and business continuity across the internal technology estate. These are the essentials you’ll need to get an interview Significant experience in i

About Graphcore Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed systems. The Team An exciting opportunity to join a new team within the Software Operations group. The Build Engineering team is a new function within Software Infrastructure, which focuses on the overall process of building and integration of the Machine Learn ing S oftware S tack. You will work closely with the QA and development teams to get an understanding of how our ML SW stack is built, helping to ensure good build practices, and proving that the stack works together and is reproducible in secure, sandboxed environments. Responsibilities and Duties Developing our internal t

About Graphcore Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed systems. The Team An exciting opportunity to join a new team within the Software Operations group. The Build Engineering team is a new function within Software Infrastructure, which focuses on the overall process of building and integration of the Machine Learn ing S oftware S tack. You will work closely with the QA and development teams to get an understanding of how our ML SW stack is built, helping to ensure good build practices, and proving that the stack works together and is reproducible in secure, sandboxed environments. Responsibilities and Duties Developing our internal t

Overview: We are looking for a Product Manager to support the build, rollout, adoption, and continuous improvement of AI-powered products used across Guidepoint’s expert-network operations. This role sits at the intersection of product management, product operations, workflow automation, AI adoption, and internal tools. The ideal candidate is a hands-on problem solver who can work closely with users, engineering, QA, design, operations, and leadership to turn high-friction workflows into reliable, scalable product systems. The Product Manager will support a portfolio of mature and emerging initiatives by writing clear requirements, managing user feedback, looking at adoption, usage data & analytics, triaging issues, supporting UAT and helping teams make data-driven product improvements. This role is especially important as Guidepoint expands its use of AI, automation, and human-in-the-loop workflows across complex operational processes. What You’ll Do: Product Delivery & Execution Partner with engineering, QA, UX, and business stakeholders to support timely and high-quality delivery of product improvements. Participate in sprint planning, backlog refinement, UAT, release readiness, and post-release review. Help ensure features are tested against real user workflows, edge cases, business rules, and operational expectations. Support rollout planning, user onboarding, training, and adoption follow-ups for new and existing product capabilities. Product Operations & Workflow Support Act as a day-to-day product contact for users Triage bug reports, user questions, change requests, and product feedback. Translate recurring themes into clear product requirements, tickets, acceptance criteria, and follow-up actions. Maintain strong product hygiene across Jira, Confluence, release notes, user documentation, and training materials. AI Workflows & Tools Work with product and engineering teams to ensure AI-driven features are usable, measurable, and aligned with

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. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as our next Software Engineer Intern for a duration of 6 months, starting on January 12th 2027. About the job This position is needed to design, develop, deploy and operate software solutions and help Twilio deliver real-time, low latency capabilities for next-generation communications. Twilio Interns in Software Engineering are eager to learn and inspire and like to think at scale and meet high availability goals, bringing a focus to solving resiliency, latency and quality challenges in our virtualized cloud environment. Software Engineers want to develop technical skills and industry experience while working on complex distributed systems. Responsibilities As a Software Engineer Intern you will experience the following - Be a Software Engineer, not just an "intern". Ship many different projects during the 6 months. Learn from passionate engineers at Twilio who solve problems in distributed computing, real-time DSP (audio pr

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft’s Data Science Team builds mathematical models underpinning the platform’s core services. Compared to other technology companies of a similar size, the set of problems that we tackle is incredibly diverse. They cut across optimization, prediction, modeling, inference, transportation, and mapping. We're looking for Masters or PhD students who are passionate about solving mathematical problems with data and are excited about working in a fast-paced, innovative and collegial environment. We are hiring for a variety of Data Science interns, focusing on the following specialties: Optimization: Construct and fit statistical or optimization models that facilitate automated decision making in the app. Machine Learning: Design, build, tune, and deploy machine learning models with a special emphasis on feature engineering and deployment. Inference: Design and analyze tests in our dynamic marketplace, estimating statistical and ML models to enable better decisions, and developing and evaluating algorithmic policies in our pricing, dispatch, and incentives systems. You will report into a Science Manager. Responsibilities: Partner with Engineers, Product Managers, and other cross-functional partners to frame problems, both mathematically and within the business context Perform exploratory data analysis to gain a deeper understanding of the problem Write production modeling code; collaborate with software engineers to implement algorithms in production Design and run both simulated and live traffic experiments Analyze experimental and observational data; communicate findings including working with partner teams and presentations; facilitate launch decisions Experience: Currently pursuing a Masters or PhD degree at a university in Canada (required) in mathematical sciences ( Opera

Distributed Systems engineers at Datadog design, implement and run in production the foundational platforms powering our applications. Your data pipelines will ingest, store, analyze and query in real-time billions of events per second from companies all over the globe. The platforms are optimized for durability, high availability, low latency, internet-scale footprint and operability. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Build fault-tolerant, horizontally scalable solutions running in multi-tenant environments Write in Go, Java, Rust or C++, amongst other languages Use Kafka, Redis, Cassandra, Elasticsearch and other open-source components Own meaningful parts of our service, have an impact, grow with the company Who You Are: You have a BS/MS/PhD in a scientific field or equivalent experience You have significant backend programming experience in one or more languages (Go, Java, Rust, C++) You have been exposed to working on problems (high durability / low latency /…) You can get down to the low-level when needed You care about simple designs and performance You want to work in a fast, high-growth startup environment that respects its engineers and customers You’re excited about leveraging AI tools to enhance how you code, solve problems, and build – or eager to learn how You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output Bonus: You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. Vanta's App Primitives team owns the shared building blocks that span data structures to UI: comments, notifications, event logs, feature flags, and task management. We own the general infrastructure; product teams own the logic built on top. Getting this layer right unlocks velocity for every team at Vanta. As the Engineering Manager, App Primitives at Vanta, you'll lead the team building the shared product primitives that every Vanta product team depends on, owning the infrastructure layer that makes collaboration, communication, and core workflows possible across the entire platform. Our Engineering Managers develop and grow high-performing teams that deliver significant value to our customers and enable our business to scale. This role sits at the intersection of technical architecture and team development, with real authority to set direction and grow a world-class platform team. Visit our Vanta Engineering Blog to learn more about what our team is working on! What you’ll do as an Engineering Manager at Vanta: Lead and grow the App Primitives team, owning hiring, team health, delivery, and the development of senior engineers and technical leads Own the strategy and roadmap for Vanta's shared product primitives: comments infrastructure, notifications platform, event log, feature flag system (Statsig), and task management Define and steward the interface model between App Primitives systems and product teams, ensuring product teams can build on top of shared infrastructure quickly and safely, without owning the underlying systems themselves Partner closely with product engineering leaders across Vanta to surface developer ne

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. Vanta's App Primitives team owns the shared building blocks that span data structures to UI: comments, notifications, event logs, feature flags, and task management. We own the general infrastructure; product teams own the logic built on top. Getting this layer right unlocks velocity for every team at Vanta. As the Engineering Manager, App Primitives at Vanta, you'll lead the team building the shared product primitives that every Vanta product team depends on, owning the infrastructure layer that makes collaboration, communication, and core workflows possible across the entire platform. Our Engineering Managers develop and grow high-performing teams that deliver significant value to our customers and enable our business to scale. This role sits at the intersection of technical architecture and team development, with real authority to set direction and grow a world-class platform team. Visit our Vanta Engineering Blog to learn more about what our team is working on! What you’ll do as an Engineering Manager at Vanta: Lead and grow the App Primitives team, owning hiring, team health, delivery, and the development of senior engineers and technical leads Own the strategy and roadmap for Vanta's shared product primitives: comments infrastructure, notifications platform, event log, feature flag system (Statsig), and task management Define and steward the interface model between App Primitives systems and product teams, ensuring product teams can build on top of shared infrastructure quickly and safely, without owning the underlying systems themselves Partner closely with product engineering leaders across Vanta to surface developer ne

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 The Billing Configuration team enables extensibility of all Billing concepts and owns the core infrastructure needed to manage configuration changes over time and custom billing logic use cases. What you'll do As the engineering manager for Billing Configuration, you’ll own the operational and technical direction of the platforms that let Stripe users and internal teams model, customize, and evolve how billing works. You’ll lead the team building the foundational configuration layer for Stripe Billing, enabling flexible products, pricing, eligibility, entitlements, and billing behavior. This team enables complex custom use cases and configuration changes over time. You’ll shape the team as it expands to support increasingly sophisticated use cases, working closely with internal and external customers to build reliable, extensible systems that make Stripe Billing adaptable to the real world. Responsibilities Lead a team responsible for the core architecture needed to enable billing configuration complexity and extensibility Own the technical strategy and roadmap for billing configuration Drive operational excellence across billing infrastructure systems Hire and develop engineers as the team expands into new scope Partner with stakeholders across organizations to deliver billing solutions Work backwards from internal and external customer needs to define priorities and scope Define and uphold engineering standards across a team owning busines

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 The Billing Configuration team enables extensibility of all Billing concepts and owns the core infrastructure needed to manage configuration changes over time and custom billing logic use cases. What you'll do As the engineering manager for Billing Configuration, you’ll own the operational and technical direction of the platforms that let Stripe users and internal teams model, customize, and evolve how billing works. You’ll lead the team building the foundational configuration layer for Stripe Billing, enabling flexible products, pricing, eligibility, entitlements, and billing behavior. This team enables complex custom use cases and configuration changes over time. You’ll shape the team as it expands to support increasingly sophisticated use cases, working closely with internal and external customers to build reliable, extensible systems that make Stripe Billing adaptable to the real world. Responsibilities Lead a team responsible for the core architecture needed to enable billing configuration complexity and extensibility Own the technical strategy and roadmap for billing configuration Drive operational excellence across billing infrastructure systems Hire and develop engineers as the team expands into new scope Partner with stakeholders across organizations to deliver billing solutions Work backwards from internal and external customer needs to define priorities and scope Define and uphold engineering standards across a team owning busines