Internal Audit And Sox Manager Jobs

The eBPF APM team is building a zero-instrumentation observability solution that automatically discovers services on every host, supports both plaintext and TLS-encrypted traffic, classifies Layer 7 protocols, decodes service-level traffic, and reports RED (requests, errors, duration) metrics. Leveraging deep expertise in eBPF, the team operates across a wide range of Linux kernel versions, distributions, and complex customer environments. In addition to low-level networking, the team solves challenges related to protocol versioning, TLS detection across diverse languages and runtimes, and resilient performance in production systems We’re looking for a senior engineer with strong systems-level thinking and a good understanding of Linux. You should be comfortable working close to the kernel, ideally with experience in eBPF, or with a strong desire to dive into it. Proficiency in C/C++/ Go is essential, and familiarity with networking protocols, TLS internals, or distributed tracing is a strong advantage. You’ll join a high-impact team tackling ambitious technical challenges—like decoding traffic across multiple protocols, and ensuring high-fidelity metrics in complex, real-world environments. You’ll be expected to lead design and implementation efforts, contribute to roadmap planning, and collaborate across teams to ensure our solution remains robust, scalable, and frictionless for our users. This role is a great fit for engineers who thrive on low-level, performance-sensitive problems, and want to shape the future of observability through cutting-edge kernel technology. 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: Design and build core components of our zero-instrumentation APM product using eBPF and Go Develop systems to aut

Join the MongoDB Server Query Optimization team, and help us build a world-class distributed open-source query optimizer. Our team plays a crucial role in the experience and performance of data processing. We are responsible for the MongoDB Query Language and the lifecycle of each query, through parsing, optimization and plan selection. We have a presence across the US and Europe including New York, Dublin, Seattle, Palo Alto, and Chicago. We support office-based and remote work and align projects with convenient work hours for each time zone. We have tons of interesting problems to solve with a direct impact on users for transactional, time-series, and analytical workloads. The team is endeavoring to systematically rewrite every major component of our optimization and execution systems. We need your help to design and build the heart of a distributed, flexible schema, document database. ​​This role can be based out of our US offices or remotely in the North America region. Candidate Profile 10+ years of experience in data management systems, distributed systems, or large-scale backend engineering Experience with building production-level code with a large user base, robust design structure and rigorous code quality Degree in Computer Science or similar field, or equivalent practical experience, with strong competencies in data structures, algorithms, and software design/architecture Experience with large code bases written in C++ or another systems programming language. You'll need to trace down defects, estimate work complexity, and design evolution and integration strategies as we rewrite different components of the system A strong foundation in core database internals is essential. While direct experience in query optimization is a massive bonus, it is not a prerequisite. We are also excited to meet candidates with strong backgrounds in compilers, language transpilers, or distributed storage systems Position Expectations Innovate in the area of flexible schema d

Join the MongoDB Server Query Execution team, and help us build a world-class distributed open-source database. Our team plays a crucial role in the performance and efficiency of MongoDB's data processing. We are responsible for building and improving the core execution engine that powers all queries, taking a logical query plan produced by the optimizer and turning it into reality. This includes developing the physical operators for data retrieval and manipulation, improving the runtime for complex analytical and transactional workloads, and owning critical components such as our new execution engine. In addition to the core server, we support the query execution needs of other major products like Atlas Streams, Atlas Search and Vector Search, and mongosync, making our work vital to the entire MongoDB ecosystem. You will be joining a globally distributed team with a significant presence in both North America and Europe. While this role is based in the NAMER region, you will regularly collaborate closely with colleagues across different time zones. We support both office-based work in our North America hubs like New York, as well as remote work. We have tons of interesting problems to solve with a direct impact on users for transactional, time-series, and analytical workloads. To meet the ever-increasing data demands of modern applications, we are actively evolving our query system; this includes strategically re-architecting and improving key components of our query execution engine. We need your help to design and build the core of a distributed, flexible schema document database. This role can be based out of one of our North America offices, such as NYC or Palo Alto, or remotely across North America. Candidate Profile 10+ years of hands-on, professional experience in query engine development or database internals Experience with building production-level code with a large user base, robust design structure and rigorous code quality Degree in Computer Science or

MongoDB’s Storage Layer Services (SLS) team is re-architecting the MongoDB cloud storage layer and sits at the heart of our next-generation cloud storage architecture. This relatively new team is building performant, multi-tenant distributed storage services that both enhance today’s Atlas storage stack and enable more customer workloads to run more efficiently. You will partner with the teams building these storage services to define SLOs, shape capacity plans, and ensure the reliability, durability, and operational safety of the storage layer that underpins Atlas. You’ll join a small, senior team of SREs as founding members of this organization, playing a crucial role in executing on a multi-year roadmap for MongoDB’s cloud storage architecture. This role can be based out of our Boston, New York City, Raleigh, Miami, Pittsburgh or remotely in the United States while physically based in an Eastern or Central time zone location. The ideal candidate should Have 6+ years of experience working on software development and operating distributed systems Proficiency in Python, Go, or a similar language Have operated or supported stateful storage or database systems at scale, and are comfortable with durability, consistency, and recovery trade-offs. Possess a customer-focused mindset Value efficiency in processes and operations Prefer automation over manual processes. We are a small team of software engineers with a strong bias towards software solutions to avoid toil Experience using and extending containerization technologies, particularly Kubernetes, to enhance application agility, optimize resource utilization, and accelerate time-to-market Expertise in cloud infrastructure platforms, including AWS, Google Cloud Platform (GCP), or Azure Understanding of Linux operating system internals and networking concepts (e.g., TCP/IP, DNS, TLS, routing) Responsibilities Work on our multi-tenant distributed storage systems, balancing long-term strategic infrastructure g

The Team MongoDB’s Storage Layer Services (SLS) team is re-architecting the MongoDB cloud storage layer and sits at the heart of our next-generation cloud storage architecture. This relatively new team is building performant, multi-tenant distributed storage services that both enhance today’s Atlas storage stack and enable more customer workloads to run more efficiently. You will partner with the teams building these storage services to define SLOs, shape capacity plans, and ensure the reliability, durability, and operational safety of the storage layer that underpins Atlas. You’ll join a small, senior team of SREs as founding members of this organization, playing a crucial role in executing on a multi-year roadmap for MongoDB’s cloud storage architecture. This role can be based out of either our Dublin or Cork office or remotely in Ireland. The ideal candidate should Have 6+ years of experience working on software development and operating distributed systems Proficiency in Python, Go, or a similar language Have operated or supported stateful storage or database systems at scale, and are comfortable with durability, consistency, and recovery trade-offs. Possess a customer-focused mindset Value efficiency in processes and operations Prefer automation over manual processes. We are a small team of software engineers with a strong bias towards software solutions to avoid toil Experience using and extending containerization technologies, particularly Kubernetes, to enhance application agility, optimize resource utilization, and accelerate time-to-market Expertise in cloud infrastructure platforms, including AWS, Google Cloud Platform (GCP), or Azure Understanding of Linux operating system internals and networking concepts (e.g., TCP/IP, DNS, TLS, routing) Responsibilities Work on our multi-tenant distributed storage systems, balancing long-term strategic infrastructure goals with immediate engineering needs Build for reliability, making services and infrastructure avail

We are hiring a Senior Software Engineer to join our Server Security team. The Server Security team is a development-focused group within MongoDB's core engineering organization. Operating "close to the bottom of the stack," the team builds features that enable database users to secure their data globally. You will work on critical components including: Cryptography: Queryable Encryption , at-rest data encryption, and fundamental cryptographic principles. Identity & Access: Authentication and authorization systems, TLS, and X.509 certificate management Network Security: High-performance, low-latency networking protocols (PKI, Hashing, CRLs) System Integrity: Resilience, observability, and compliance assurance within a large-scale distributed database Our team champions a strong culture of inclusivity, diversity, and collaboration. If you want to work on a collaborative team that applies distributed systems fundamentals to deliver core features of a popular database, join us! Let’s change what’s possible for application developers, system architects, and database operators. The role As a Senior Engineer, you will apply distributed systems fundamentals to deliver core security features. You will be a leader in improving MongoDB's security posture by owning features and leading investigations into complex areas of the codebase. What you’ll do: Build and test new security features in a large, feature-rich C++ codebase Work across engineering, cloud services, and support teams to coordinate feature rollouts and changes Stand for code quality and security best practices, assisting fellow engineers in writing well-reasoned, secure code Use strong diagnostic intuition to solve thorny technical issues related to distributed systems, concurrency, and OS internals This role can be remote or hybrid anywhere in the USA or Canada. We will prioritize candidates who are already located in one of these countries. Candidate Profile We are looking for a highly technical engineer w

The MongoDB Database Experience team is a diverse group of contributors working together to help our users manage MongoDB at global scale. This includes building tools for MongoDB Atlas: our database as a service offering and fastest growing product which allows users to deploy fault-tolerant, globally distributed MongoDB clusters in just minutes. We're seeking a Senior Software Engineer to join our Developer Tools Team within the Database Experience department. The team is responsible for tools which allow users to interact with their data and to understand the health and performance of their MongoDB deployments. The Developer Tools Team works on a variety of APIs and customer-facing UIs empowering MongoDB users to interact with their stored data, whether that’s on desktop via MongoDB Compass or in the browser via Atlas Data Explorer. This role is fully remote for a candidate based in the United States with US citizenship. We're looking for someone who Is a full stack engineer with a willingness to take on both frontend tasks and backend tasks Has experience with the design and architecture of a modern, scalable, high availability web application Has experience working with databases Enjoys collaboration and being part of a team Is approachable, curious, and intellectually honest Would enjoy chasing down difficult problems in a distributed environment Always strives to expand their knowledge Nice to Haves Knowledge of database internals and tuning mechanisms, particularly indexing Previous work in TypeScript, React, and Node.js, particularly maintaining an ecosystem of dependencies Experience working with websocket based client to server communication Familiarity with developing and supporting microservice based architectures using Kubernetes About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and d

About the Role The worldwide data management software market is massive – IDC forecasts it to be $137.6 billion by 2026! At MongoDB, we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading modern data platform and were the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity. The Storage Layer Services Team is currently re-architecting the MongoDB Cloud Storage Layer. This is a relatively new team in MongoDB that sits at the heart of the next generation MongoDB Cloud Storage Architecture, and the team is working to build performant multi-tenant distributed storage services both to enhance our existing MongoDB cloud storage architecture and to power more of our customers' use cases more efficiently. We are looking for talented Senior Engineers to join the team and be founding members of the team, where you will play a crucial role in our multi-year roadmap. Our team champions a strong culture of inclusivity, diversity, and collaboration. If you want to work on a collaborative team that applies distributed systems fundamentals to deliver core storage features of a popular database, join us! Let’s change what’s possible for application developers, system architects, and database operators. We are looking to speak to candidates who are based in Sydney for our hybrid working model. Candidate Profile Minimum of 5 years of experience in programming, debugging, and performance tuning of distributed and/or highly concurrent software systems Strong systems fundamentals, including multi-threaded programming and performance profiling Experience with distributed systems Proven experience in building, deploying, and operating multi-tenant cloud services with a focus on operational excellence Familiarity with database internals or experience building core components for data processing systems Hands-on experience in developing performance-sensitive so

We are hiring a Senior Software Engineer to join our Server Security team. The Server Security team is a development-focused group within MongoDB's core engineering organization. Operating "close to the bottom of the stack," the team builds features that enable database users to secure their data globally. You will work on critical components including: Cryptography: Queryable Encryption , at-rest data encryption, and fundamental cryptographic principles. Identity & Access: Authentication and authorization systems, TLS, and X.509 certificate management Network Security: High-performance, low-latency networking protocols (PKI, Hashing, CRLs) System Integrity: Resilience, observability, and compliance assurance within a large-scale distributed database Our team champions a strong culture of inclusivity, diversity, and collaboration. If you want to work on a collaborative team that applies distributed systems fundamentals to deliver core features of a popular database, join us! Let’s change what’s possible for application developers, system architects, and database operators. The role As a Senior Engineer, you will apply distributed systems fundamentals to deliver core security features. You will be a leader in improving MongoDB's security posture by owning features and leading investigations into complex areas of the codebase. What you’ll do: Build and test new security features in a large, feature-rich C++ codebase Work across engineering, cloud services, and support teams to coordinate feature rollouts and changes Stand for code quality and security best practices, assisting fellow engineers in writing well-reasoned, secure code Use strong diagnostic intuition to solve thorny technical issues related to distributed systems, concurrency, and OS internals This role can be remote or hybrid anywhere in the USA or Canada. We will prioritize candidates who are already located in one of these countries. Candidate Profile We are looking for a highly technical engineer w

MongoDB’s Storage Layer Services (SLS) team is re-architecting the MongoDB cloud storage layer and sits at the heart of our next-generation cloud storage architecture. This relatively new team is building performant, multi-tenant distributed storage services that both enhance today’s Atlas storage stack and enable more customer workloads to run more efficiently. You will partner with the teams building these storage services to define SLOs, shape capacity plans, and ensure the reliability, durability, and operational safety of the storage layer that underpins Atlas. You’ll join a small, senior team of SREs as founding members of this organization, playing a crucial role in executing on a multi-year roadmap for MongoDB’s cloud storage architecture. This role can be based out of our Toronto or Montreal office or remotely in the Canada while physically based in an Eastern or Central time zone location. The ideal candidate should Have 6+ years of experience working on software development and operating distributed systems Proficiency in Python, Go, or a similar language Have operated or supported stateful storage or database systems at scale, and are comfortable with durability, consistency, and recovery trade-offs. Possess a customer-focused mindset Value efficiency in processes and operations Prefer automation over manual processes. We are a small team of software engineers with a strong bias towards software solutions to avoid toil Experience using and extending containerization technologies, particularly Kubernetes, to enhance application agility, optimize resource utilization, and accelerate time-to-market Expertise in cloud infrastructure platforms, including AWS, Google Cloud Platform (GCP), or Azure Understanding of Linux operating system internals and networking concepts (e.g., TCP/IP, DNS, TLS, routing) Responsibilities Work on our multi-tenant distributed storage systems, balancing long-term strategic infrastructure goals with immediate engineerin

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About Okta Verify Team The Okta MacOS platform team is responsible for building Okta's MacOS Apps and SDKs. The Okta Verify app allows you to securely access your apps via 2-step verification, ensuring that you, and only you, can access your app accounts. It integrates with MacOS system features by communicating with our backend to and grant proper application access. Position Overview As a Senior SET, you will take end-to-end ownership of the test strategy, execution, and quality assurance for the Okta Verify macOS app, filling a critical gap as our existing framework scales to support advanced Apple feature sets. You will work closely with local engineers and cross-functional US-based mentors to design, build, and optimize scalable automation frameworks that completely replace manual testing validation for critical macOS authentication components. This role requires in-depth understanding of macOS system internals, native app archit

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role The Robinhood Legend team builds and owns our advanced desktop trading platform, designed to meet the needs of active and sophisticated traders. The team works across real-time data infrastructure, advanced charting, options and futures trading tools, and highly customizable workspace experiences. Their mission is to deliver a professional-grade platform that combines the power of institutional trading tools with Robinhood's signature approachable design. As a Staff Web Engineer , performance is your mandate. You'll set the standard for what a web-based trading platform can be — going deep on JavaScript internals, browser rendering pipelines, and real-time data optimization to make Legend the fastest, most responsive platform of its kind. For active traders, milliseconds matter, and you'll own the work that ensures Legend never gets in their way. This is a performance-first role. You'll lead the initiatives that make Legend faster and more efficient, while also contributing to feature development across core trading surfaces where your performance expertise has the greatest impact. The work balances deep technical execution with meaningful cross-functional partnership. This role is based in our Menlo Park, CA or New York, NY office(s), with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do Lead web performance across Legend — profiling, diagnosing, and shipping meas

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . We are seeking Capacity Planning Lead to join Coinbase's Consumer (CX) Workforce Management team. This role is central to translating volume trends, staffing assumptions, and business inputs into actionable short- and medium-range capacity plans that help our consumer support operation meet customer demand efficiently and cost-effectively. The ideal candidate brings deep WFM domain expertise, strong analytical fundamentals, and the ability to operate with ownership and precision in a fast-moving, AI-informed planning environment. You'll work at the intersection of forecasting, operations, and cross-functional stakeholder collaboration to ensure CX is always staffed to deliver a high-quality customer experience. What you’ll do: Own forecasts and short-range capacity plans across multiple consumer support queues and markets, translating volume, AHT, and shrinkage trends into staffing requirements and coverage plans Use hybrid human–AI tooling to build and maintain capacity models that reflect the growing complexity of our support channels and workforce structure Create multi-scenario staffing plans that model trade-offs between Customer Experience/Service Levels, Employee Experience, Operational Flexibility, and Cost Effectiveness Partner with vendor management and BPO partners to ensure staffing targets and contractual SLAs are met at the interval level C

Location: San Francisco, CA (Hybrid: 4 days onsite/week). Relocation assistance available. About the Team: We build foundational platform software that enables reliable, secure, and performant products. The team works across system layers and partners closely with adjacent engineering groups to deliver robust capabilities from concept through launch. About the Role: We’re seeking a System Software Engineer to design, implement, and debug core platform components and the pipelines that build and update system images. You’ll work across operating system layers, focusing on performance, security, and deep system debugging to ship production‑grade systems. In this role, you will: Design, implement, and debug system‑level components and services across kernel and user space. Configure and maintain OS platform services (init, services, networking, security policies) and related tooling. Build and operate image and update pipelines, ensuring reliability, reproducibility, and rollback safety. Instrument and analyze performance using profiling and tracing; optimize CPU, memory, I/O, and power usage. Own platform observability and reliability: logging, crash capture, watchdogs, and diagnostics. Collaborate with cross‑functional teams to define interfaces and deliver end‑to‑end features. Establish strong engineering practices: code review, CI, reproducible builds, and release management. Partner with external suppliers to support builds and deployments. You might thrive in this role if you: Have shipped production systems software on modern operating systems. Are proficient in C/C++ and a scripting language, and comfortable with OS internals (concurrency, memory management, filesystems, networking, power management). Bring strong systems debugging skills using debuggers, tracers, profilers, and logs across kernel/user‑space boundaries. Understand configuration of platform services and interfaces, and can translate requirements into stable, well‑documented APIs. Are fluent in u

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. Role summary We are seeking a Networking Operating System Firmware Engineer to help bootstrap and scale the switching layer of our AI supercomputers. In this role, you will build and maintain custom NOS images from scratch, using open source components from SONiC, SAI, FRR, and related networking stacks while working across the Linux kernel, switch ASIC SAI/SDKs, platform drivers, control-plane services, and orchestration layers. This is a software engineering role that requires a deep understanding of networking, NOS internals, switch hardware, and production systems. You will design, implement, test, and debug production NOS software across platform drivers, routing and control-plane state, ASIC programming, observability, and fleet integration. The engineer in this role should be able to work through ambiguous, open-ended technical problems and drive feature development across software, hardware, and vendor boundaries. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will Design, develop, and maintain custom NOS images for large-scale AI fabrics, using open source components from SONiC, FRR, and related networking stacks. Integrate, build and configure Linux kernel components, device drivers, switch ASIC SDKs, and SAI layers. Bring up new switch platforms, including thermal and fan control, power monitoring, transceiver management, watchdogs, OSFP CMIS, L