Internal Audit Lead Jobs

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

Reolink , a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. 5 Work Days Per Week Current Office Near to Kaki Bukit MRT, Singapore Will Relocate to Tai Seng MRT in September 2026 Medical & Dental Benefits Provided Entitled to Yearly Bonus & Performance Bonus **Current Application & Web App are Java Programming** Job Requirements Bachelor's or Master's Degree in Computer Science, Software Engineering , or a related technical discipline At least 3 years of software development experience in JAVA Programming is preferable for this post Strong understanding of computer science fundamentals (operating systems, network principles, data structures, and algorithms) Programming Languages: High proficiency in Java (including JVM internals and performance tuning) or Node.js (including its event-driven architecture and asynchronous programming model). Proficiency in both is a significant plus. Frameworks & Middleware: Proficient with common open-source frameworks and tools such as Kafka, RocketMQ, Dubbo, Zookeeper, and Redis. Deep knowledge of MySQL , including schema design, SQL optimization, and database scaling strategies. System Experience: Proven, hands-on experience in building, deploying, and maintaining high-concurrency, high-performance, and high-availability systems. Job Responsibilities ( Senior Backend Engineer) Design & Development Take ownership of the design, development, refactoring, and performance opt

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are hiring a Principal Engineer II to architect the core data processing engine of the Snowflake Data & AI Cloud. At Snowflake, we believe that high-performance, unified compute fabrics are the indispensable building blocks for Agentic AI. Autonomous agents require more than just models; they require a high-fidelity, low-latency state layer to reason, act, and persist context. This role is not about building traditional data processing pipelines or legacy ETL/ELT workflows; it is about building the core distributed systems and atomic primitives that make those agentic workflows possible. In this role, you will be a lead architect of the Snowflake Data Transformation Engine. You will design and implement the fundamental transformations infrastructure—Stateful Stream Processing Engines, Incremental View Maintenance Engine, Materialization Internals, and the Distributed Orchestration Fabric. Our solid foundation supporting the seamless transition for enterprises between batch and streaming through Dynamic Tables, Streams & Tasks, and DBT Projects is the starting point. Your architectural work will extend the reach of the core engine to accelerate and support the massive scale of the Snowpark and Spark ecosystems. You are building the systems that allow both data eng

REQUISITOS MANDATÓRIOS EXPERIÊNCIA Solida experiencia de atuação em controle de qualidade de projetos industriais; Microsoft Office (nível avançado), SAP S 4HANA, MS Project avançado, EPM, Power Platform (Power BI, Power Automate, Power Apps, etc.), Microsoft Teams, SmartPlant Foundation (SPE - Hexagon). ESCOLARIDADE Nível de Formação: Superior em Engenharia, devidamente registrados no Conselho Regional da área. ATRIBUIÇÕES Apoio ao planejamento de projetos, contemplando, dentre outras atividades descritas: Gestão da qualidade e planejamento de projetos de engenharia. Sobre a CAPCO: Na Capco promovemos uma cultura inclusiva. Valorizamos a diversidade em todas as suas expressões. Pensamos, em conjunto , sempre em ações diversas de inclusão e de responsabilidade social através de comitês internos geridos pela nossa comunidade interna, como os grupo de Mulheres, Pessoas Com Deficiência, Pessoas Negras, LGBTQIAPN+, Parentalidade, Gerações, entre outros. Nossas oportunidades são trabalhadas para todos(as)!!! #LifeAtCapco PRÓXIMOS PASSOS: Se você está ansioso(a) para progredir sua carreira conosco, candidate-se e aguarde o contato de um de nossos recrutadores!

Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role We’re looking for a Senior Postgres Engineer to join our Postgres Team and help maintain and expand the stability and functionality of our hosted Postgres offering . You’ll work closely with customers, partners, product, engineering, support and success, helping us maintain a secure, stable, performant, and functional Postgres foundation. This role is ideal for someone who thrives in async, fast-paced environments and is excited about building developer tools that scale to millions. This role also requires strong working overlap with Americas time zones due to production support and on-call responsibilities. What you'll own: Build and maintain PostgreSQL extensions in C and Rust, with a deep understanding of internals — parser, planner, WAL mechanics, and MVCC Diagnose and resolve issues in managed PostgreSQL deployments, including custom extension failures, core dump analysis, and performance bottlenecks Own idempotent deployment pipelines across thousands of running PostgreSQL instances, including testing and rollout strategies Manage complex extension ecosystems — compatibility, upgrade paths, and conflict resolution Work with PostgreSQL's background worker framework, shared memory management, and hook system to build reliable, scalable functionality Collaborate closely with customers, partners, product, engineering, support, and success teams to maintain a secure, stable, and performant Postgres foundation What you bring: Deep expertise in PostgreSQL internals - query planner, executor, and storage engine mechanics Proven experience building PostgreSQL extensions in both C and Rust Strong knowledge of PostgreSQL's permission model : RLS, roles, and grant systems Experience troubleshooting p

About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role We’re looking for an experienced Database Support Engineer to join our Support Team and help developers unblock complex issues, build more reliably, and get the most out of the Supabase platform. You’ll work closely with customers and engineering, helping us improve product quality and developer experience based on real-world usage. This role is ideal for someone who thrives in async, fast-paced environments and is excited about building developer tools that scale to millions. What You’ll Be Responsible For In this role, you’ll: Investigate and resolve advanced customer issues across Postgres, Auth, RLS, Storage, Realtime, Edge Functions, and client libraries. Provide consultative, proactive advice to optimize workloads, avoid common pitfalls, and offer tailored advice to our most advanced users. Reproduce bugs , isolate root causes, propose workarounds, and escalate to engineering with solid reproduction steps. Ask smart, targeted questions that turn incomplete reports into actionable cases. Communicate clearly and empathetically with users of all levels—especially during high-impact or time-sensitive situations. Spot patterns across tickets and recommend improvements to documentation, tooling, and the product itself. Mentor junior team members and help raise the overall bar for support quality. You Might Be a Good Fit If Experience: You have 7+ years in technical support, databases, backend engineering, SRE, or a similar field. Postgres Expertise: You know PostgreSQL deeply—autovacuum behavior, WAL growth, long-running transactions, table bloat, and other internals. Performance: You’re strong in high-performance SQL and query optimization. Troubleshooting: You’re comfortable tr

About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role We’re looking for an experienced Database Support Engineer to join our Support Team and help developers unblock complex issues, build more reliably, and get the most out of the Supabase platform. You’ll work closely with customers and engineering, helping us improve product quality and developer experience based on real-world usage. This role is ideal for someone who thrives in async, fast-paced environments and is excited about building developer tools that scale to millions. What You’ll Be Responsible For In this role, you’ll: Investigate and resolve advanced customer issues across Postgres, Auth, RLS, Storage, Realtime, Edge Functions, and client libraries. Provide consultative, proactive advice to optimize workloads, avoid common pitfalls, and offer tailored advice to our most advanced users. Reproduce bugs , isolate root causes, propose workarounds, and escalate to engineering with solid reproduction steps. Ask smart, targeted questions that turn incomplete reports into actionable cases. Communicate clearly and empathetically with users of all levels—especially during high-impact or time-sensitive situations. Spot patterns across tickets and recommend improvements to documentation, tooling, and the product itself. Mentor junior team members and help raise the overall bar for support quality. You Might Be a Good Fit If Experience: You have 7+ years in technical support, databases, backend engineering, SRE, or a similar field. Postgres Expertise: You know PostgreSQL deeply—autovacuum behavior, WAL growth, long-running transactions, table bloat, and other internals. Performance: You’re strong in high-performance SQL and query optimization. Troubleshooting: You’re comfortable tr

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

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Palantir is at the forefront of some of the most critical and challenging problems in the world. We develop alongside our customers everyday. Our customers span from the cloud to the frontline. As we adapt to solve their most pressing issues in latency, performance, and compute cost, we are building a team of software engineers relentlessly focused on low-level optimization and novel compute architectures. This is a team of developers creating software for the far-edge, including streaming ETL pipelines, inference platforms, and various timing critical applications. This role requires an experienced software engineer who is well versed in low-level development in compiled, native languages such as Rust and C/C++. A successful candidate can optimize software for constrained embedded devices or across large-scale distributed systems. You should have strong knowledge of computer architecture and OS internals. Core Responsibilities Develop high-performance software that runs in distributed systems at the edge and in the cloud. Process high-bandwidth sensor and network data streams to deliver real-time insights. Architect optimized, hardware-aware software systems. Collaborate directly with customers to derive and refine requirements. Participate in code reviews, design discussions, and mentor other engineers as needed. What We Value Ability to independently decompose and solve ambiguous, complex problems alongside customers with minimal guidance. Deep knowledge of computer architecture and experience with hardware-software interfaces. Proficiency with Linux and basic IP networking concepts.<

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE: Baseten’s Model Performance (MP) team is responsible for ensuring the models running on our platform are fast, reliable, and cost‑efficient. As part of this team, you’ll focus on Model APIs — the infrastructure powering our hosted API endpoints for the latest open‑source models. This work spans distributed systems, model serving, and developer experience. You’ll join a small, high‑impact team operating at the intersection of product, model performance, and infra, helping to define how developers interact with AI models at scale. RESPONSIBILITIES: Design, build, and operate the Model APIs surface with focus on advanced inference capabilities: structured outputs (JSON mode, grammar-constrained generation), tool/function calling and multi-modal serving Profile and optimize TensorRT-LLM kernels, analyze CUDA kernel performance, implement custom CUDA operators, tune memory allocation patterns for maximum throughput and optimize communication patterns across multi-GPU setups Productionize performance improvements across runtimes with deep understanding of their internals: speculative decoding implementations, guided generation for structured outputs, custom scheduling and routing algorithms for high-performance serving Build comprehensive benchmarking frameworks that measure real-world performance across different model architectures, batch sizes, sequence lengths, and hardware configurations Productionize performa

ABOUT CUBIST: Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. RESPONSIBILITIES: Building components for both live trading and simulation Refining and increasing automation and robustness of the research infrastructure including alpha estimation, risk modeling, and backtesting components Building tools for signal blending, simulation, portfolio construction, the research framework, and dashboards Maintaining and updating the platform, ensuring its stability, robustness, and security Developing robust data checking and storage procedures Troubleshooting and resolving any systems related issues and handle the release of code fixes and enhancements REQUIREMENTS: Bachelor’s degree or higher in computer science or other STEM discipline Advanced proficiency in Python and its ecosystem (numpy, pandas, polars, scikit-learn), with an understanding of Python and library internals Experience contributing to core Python numerical libraries is a huge plus (numpy, tensorflow, torch, jax) Proficiency with Linux Hands-on experience with software architecture and engineering best practices (testing, CI/CD, monitoring, profiling, version control) Strong quantitative and analytical skills; command of linear algebra, statistics, and machine learning would be helpful Proficiency with C/C++ is a plus Experience with designing and implementing trading systems is a plus Commitment to the highest ethical standards

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We are seeking a GCC Compiler Engineer to design, develop, and optimize compilers for next-generation RISC-V and AI compute architectures. You will work across hardware and software teams to improve performance, programmability, and integration of our custom toolchains into real applications. This role is fully hands-on and central to how developers interact with Tenstorrent hardware across both traditional compute and advanced machine learning workloads. This role is Hybrid, based out of Santa Clara, CA, Austin, TX, or Toronto, ON. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are Experienced compiler engineer with deep knowledge of GCC and LLVM internals, comfortable optimizing for custom hardware targets. Strong C/C++ developer with a solid grasp of algorithms, data structures, and performance analysis. Collaborative and analytical, able to work across hardware and software domains to deliver efficient, high-performance toolchains. Passionate about enabling breakthrough compute architectures through compiler innovation and software-hardware co-design. What We Need Design, develop, and optimize GCC and/or LLVM compilers for Tenstorrent’s cust

InvGate es una empresa SaaS en constante crecimiento que desarrolla productos destinados al IT management y la automatización de servicios. Actualmente contamos con clientes en más de 70 países y en industrias tan diversas como bancos, e-commerce, educación y tecnología. Buscamos sumar un/a Senior Account Executive a nuestro equipo comercial en Argentina, con foco en el segmento Enterprise . El perfil ideal es una persona con sólida experiencia en ventas B2B SaaS , acostumbrada a gestionar procesos comerciales complejos, construir relaciones con múltiples stakeholders y llevar oportunidades de alto valor desde su desarrollo hasta el cierre. En este rol vas a tener ownership sobre el ciclo completo de ventas y un rol clave en el desarrollo de nuevas cuentas Enterprise en Argentina. ¿Qué vas a hacer? Gestionar el ciclo completo de ventas , desde la generación y desarrollo de oportunidades hasta la negociación y el cierre. Desarrollar nuevas cuentas dentro del segmento Enterprise , construyendo relaciones comerciales de largo plazo. Llevar adelante procesos de venta consultiva , entendiendo en profundidad los desafíos y necesidades de cada organización. Diseñar estrategias comerciales para cada oportunidad, adaptando el approach a los distintos stakeholders y dinámicas de cada cuenta. Construir y desarrollar relaciones con múltiples interlocutores y tomadores de decisión , incluyendo perfiles C-level. Trabajar junto al equipo de Pre Sales para llevar adelante demos y construir propuestas de valor alineadas con las necesidades del cliente. Negociar contratos y condiciones comerciales, llevando las oportunidades hasta su cierre. Gestionar de manera estratégica el pipeline y mantener actualizada la información en el CRM. Trabajar de manera colaborativa con Pre Sales, Customer Success y otras áreas internas para acompañar el proceso comercial de punta a punta. Identificar nuevas oportunidades de negocio y desarrollar un profundo conocimiento del merc

About the Role Support Operations is one of our core operations teams, responsible for making sure that when things go wrong, there's always someone there to make it right. The team designs, manages, and operates a large and growing global network of support centers, with the goal of delivering a world-class customer experience every time. We're looking for an experienced Workforce Planner to help develop and scale our support lines of business. This role is central to planning monthly, daily, and hourly staffing levels, and to keeping hiring plans current so we consistently deliver best-in-class service. You'll play a key part in improving forecast accuracy, reporting, and how we plan around floor staff utilization and efficiency — for a 24/7/365 organization, wherever it operates. You're excited about this opportunity because you will… Capacity planning Build and maintain support capacity plan models at the monthly, weekly, and interval level, using a quantitative model to determine the staff required to service forecasted volumes Match staffing supply to required staff to ensure efficient service level attainment, and make hiring, ramp, and staff-reduction recommendations Keep capacity plans and assumptions accurate, current, and aligned to source-of-truth headcount data, auditing regularly for accuracy Ensure alignment from the smallest site/team level of detail up through the broader org-wide capacity plan Maintain documentation of planning methodology, assumptions, and processes, and continually improve the planning tools, models, and templates themselves Forecasting & scenario planning Forecast incoming contact volume using historical and benchmark data, tracking deviations between forecast and actuals on a regular cadence Build, update, and present "what-if" scenarios to evaluate potential changes and support upcoming initiatives, as well as annual, half-year, and quarterly planning scenarios for long-range and financial planning Build and validate capac

Title: AI Application Packaging Engineer Location: Andheri (East), Mumbai Reports to: Service Director ABOUT BLENHEIM CHALCOT: As part of the Blenheim Chalcot portfolio, we benefit from the expertise, infrastructure, and scale of the leading global venture builder. With over 25 years of experience creating and growing SaaS businesses powered by Generative AI, Blenheim Chalcot has built 60+ ventures across sectors such as financial services, education, health, and marketing. Our global ecosystem—including Scale Space in London, the Rajasthan Royals in Mumbai, and a go-to-market base in Austin—enables us to access world-class talent, tools, and support to accelerate our growth and build a market-leading business. THE ROLE: We’re looking for an AI-first ITS Engineer with strong Application Packaging expertise to join our growing team at Agilisys. In this role, you’ll work across Application Packaging, Endpoint Management, Cloud Deployment, and Automation, helping modernise IT operations through AI-driven and scalable solutions. This is an opportunity to work in a fast-paced environment where automation, innovation, and operational efficiency are at the core of what we do. ABOUT YOU: Must-Have's 5+ years of hands-on experience with SCCM and/or Microsoft Intune for application packaging, deployment, and endpoint management. Strong experience with PowerShell scripting and a good understanding of Windows Registry, File System internals, and deployment workflows. Experience managing application packaging, deployment, patching, and remediation processes in enterprise environments. Exposure to vulnerability management and patch lifecycle activities using tools such as WSUS, Active Directory, or endpoint security solutions. An AI-first mindset with interest or experience leveraging Generative AI tools to improve efficiency across packaging, testing, deployment, troubleshooting, and operational tasks. Hands-on experience using automation or AI-assisted tools