Cloud Security Architect Lead Jobs

Who We Are Every organization runs on intelligence: years of accumulated knowledge, decisions, and context. As AI takes on more of that work, companies face a choice: rent that intelligence from vendors who keep the data, the context, and the results, or own it. OpenTeams exists to make ownership possible. Founded by Travis Oliphant, creator of NumPy and SciPy, and built by people with deep roots across the open-source ecosystem, including NumPy, SciPy, PyTorch, and Jupyter, we help enterprises and governments build AI they control, govern, and evolve themselves. If that sounds like your kind of work, we'd like to meet you. Senior Infrastructure Engineer - AI/ML Platform Location: U.S - Remote Work Authorization: U.S. citizenship required Clearance: An active clearance is not required at the time of hire. Candidates must be able to obtain and maintain a Secret security clearance, which includes a federal background investigation. Salary Range: $85,000 - $120,000 USD, dependent on experience level and location About the Role We're looking for a Systems Engineer to join our platform support team. This is a role for someone early in their infrastructure career who wants real ownership of production systems and is willing to earn it by being the person others can count on. The work runs across two streams. Internal Platforms covers the systems OpenTeams itself runs on — identity, cloud, internal applications, our website. You own that surface end to end, which means you're the first responder when something breaks and the one who fixes the underlying cause so it stops happening. Project Support means backing up our infrastructure engineers on the platforms we build and operate for customers, including government programs. Both streams start at the front line. That's the entry point, not the destination - as you build real context, the scope grows toward environment builds, deployment configuration, and eventually owning pieces of a platform outright. The two sides

SonicWall is a cybersecurity forerunner with more than 30 years of expertise and is recognized as a leading partner-first company, ensuring our partners and their customers are never alone in the fight against cybercrime. With the ability to build, scale and manage security across the cloud, hybrid and traditional environments in real-time, SonicWall provides relentless security against the most evasive cyberattacks across endless exposure points for increasingly remote, mobile and cloud-enabled users. With its own threat research center, SonicWall can quickly and economically provide purpose-built security solutions to enable any organization—enterprise, government agencies and SMBs—around the world. For more information, visit www.sonicwall.com or follow us on Twitter , LinkedIn , Facebook and Instagram . Senior Technical Program Manager – Software & Hardware What You’ll Do The Senior Technical Program Manager will work with globally distributed cross-functional teams of Product Management, Software, Hardware, QA, Sales, Marketing, and others to plan, execute, and launch new SonicWall software and network security products. You are responsible for managing the product lifecycle from concept to market launch while maintaining program schedules, budget, scope, and quality. This includes working with external labs and internal teams to achieve regulatory and other government/security certifications. This position reports to the Director of Program Management and is located in Pune, India. Who You Are You are an authority in the development and manufacturing of cybersecurity software and hardware appliances in the network security field. You are a leader who steers a cross functional team to achieve a common set of goals. You possess: Strong program management skills in the definition, planning, executi

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 the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Identity Infrastructure Engineering team sits at the core of this effort, designing and building the identity and access management solutions that protect our model weights, customer data, and critical systems across multiple cloud environments. We partner with teams across OpenAI—Applied Engineering, Research, IT, and Security—to provide a secure and scalable platform for permissioning, orchestration, and innovative AI research. About the Role We’re looking for a Staff+ Software Engineer to help build and evolve the identity infrastructure that supports OpenAI’s research, engineering, and internal platforms. This role sits at the intersection of cloud infrastructure, identity systems, and software engineering. You’ll work across production systems, infrastructure-as-code, cloud control planes, identity providers, and operational infrastructure to build secure, scalable, and reliable systems used broadly across the company. The ideal candidate has experience building and operating large-scale, mission-critical systems with strong reliability and security requirements, and is comfortable writing production code, designing distributed systems, and driving ambiguous projects from 0 to 1 while building the operational rigor needed to run critical infrastructure over time. In this role, you will: Lead the architecture, development, and operation of identity infrastructure that spans cloud platforms, internal systems, and critical engineering services. Design and evolve systems for authentication, authorization, access governance, auditability, and policy enforcement with a strong focus on reliability, scalability, and secure-by-default design. Build foundational infrastructure and platform capabilities that are broadly used across engineering, research, and security teams. Improve the reliability, observability, performance, and op

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NVIDIA’s DGX Cloud organization is seeking a Senior Data Engineer to become part of its data team! We develop the reliable data foundation that supports fleet health, capacity, utilization, cost, reliability, and operational decision-making throughout DGX Cloud. Our platform supports engineering, operations, finance, and product teams managing and expanding large GPU fleets across cloud service providers and NVIDIA Cloud Partners. We are looking for a practical engineer and technical lead to take charge of a key part of the Navigator data platform. We develop the systems that transform distributed infrastructure telemetry and operational data into dependable, managed data products that support fleet health, capacity, utilization, cost, and operational decisions. We are seeking a hands-on, platform-minded engineer to build and evolve the systems that turn distributed infrastructure telemetry and operational data into reliable, governed data products. You will work across ingestion, transformation, data quality, platform architecture, security, observability, and self-service consumption to help make Navigator and the DGXC data platform a dependable source of truth. We do expect strong engineering fundamentals, experience operating production systems, and the ability to learn new platforms and domains quickly. What you'll be doing: Own systems end to end. For example, work from ambiguous customer and operational needs through architecture, implementation, deployment, observability, incident response, and ongoing support. Construct data pipelines and products. Such as designing and maintain batch and streaming ingestion, transformation, reconciliation, and serving paths for fleet, capacity, utilization, cost, scheduling, and operational telemetry. Build shared libraries, workflow and DAG or equivalent experience abstractions to evolve the data platform. Develop deployment tooling, data

Senior Machine Learning Engineer Description - We are looking for a Senior MLOps Engineer to design, build, and operate the infrastructure that enables machine learning models and large language models to be deployed safely, reliably, and at scale. In this role, you will create the end-to-end capabilities required to move models from experimentation into production, expose them through secure and highly available endpoints, and enable users and applications to interact with AI-powered services. You will work across AWS and Databricks to establish robust CI/CD pipelines, model-serving infrastructure, observability, governance, rollback mechanisms, and operational standards. You will partner closely with data scientists, machine learning engineers, software engineers, security teams, and platform engineers. The ideal candidate combines strong cloud and DevOps engineering skills with a practical understanding of machine learning systems, LLM deployment patterns, and production reliability. Key Responsibilities MLOps Platform and Architecture Design and implement a scalable MLOps platform using AWS and Databricks. Define reference architectures and reusable deployment patterns for traditional machine learning models, deep learning models, and large language models. Build standardized workflows that move models from development and validation into staging and production. Develop self-service capabilities that allow data scientists and ML engineers to deploy models without manually managing infrastructure. Establish clear separation between development, testing, staging, and production environments. Design multi-region or multi-availability-zone architectures where required by business continuity and availability objectives. CI/CD and

About the Role Amplitude's Cloud Platform team builds the systems that every Amplitude engineer relies on every day to ship code — and we're rebuilding them for the AI era. As a Senior Platform Engineer, you'll own medium-to-high-complexity platform projects end-to-end and help shape a platform where AI agents are first-class users alongside humans: kicking off deploys, opening pull requests against infrastructure, and triaging incidents, so a single engineer can get the throughput of a team. You'll partner with Staff engineers and product teams to make Kubernetes effortless across the engineering org, building self-service automation and scalable AWS infrastructure that lets product teams ship faster, safer, and with less cognitive load. If you're excited about building the systems that other engineers will rely on every day, this role is for you. Key Responsibilities Lead high-impact platform projects — design and ship capabilities that move the needle on developer experience, reliability, or security, and set the bar for quality, testing, and safe deployment practices. Build the AI-augmented platform. Design tooling and workflows that help engineers get more out of AI-assisted development — think infra primitives that are easy to reason about, automated review, and policy-as-code that keeps the guardrails strong as AI shifts how code gets written. Own Infrastructure-as-Code for Kubernetes, AWS, and GCP using Terraform, Helm, Kustomize, and emerging tooling — and make it consumable enough that an LLM can safely PR against it. Evolve our CI/CD backbone (Argo CD / Workflows / Rollouts, GitHub Actions) to make deploys faster, safer, and easier to reason about. Instrument and operate. Drive observability with Datadog and Amplitude, own dashboards and SLOs, and use the data to push reliability forward. Participate in on-call, lead incident response when needed, and turn postmortems into durable platform improvements. Reduce toil and tech debt with pragmatic remediation

Amplitude's Cloud Platform team builds the systems that every Amplitude engineer relies on every day to ship code — and we're rebuilding them for the AI era. As a Staff Platform Engineer, you'll set technical direction for the platform across teams, lead our highest-complexity and highest-leverage initiatives, and shape a platform where AI agents are first-class users alongside humans: kicking off deploys, opening pull requests against infrastructure, and triaging incidents, so a single engineer can get the throughput of a team. You'll operate across team boundaries — partnering with product engineering, fellow Staff+ engineers, and engineering leadership to make Kubernetes and cloud infrastructure effortless across the entire engineering org. You'll build the self-service automation, shared standards, and scalable AWS and GCP infrastructure that let dozens of product teams ship faster, safer, and with less cognitive load — and you'll multiply the engineers around you while you do it. Key Responsibilities Set technical direction — shape platform and domain-level technical strategy that improves developer experience, reliability, security, and cost, and lead the high-complexity, cross-cutting initiatives that deliver it with measurable impact for the organization. Drive clarity through ambiguity. Take on the most loosely-defined problems, validate the critical assumptions early, and create alignment with stakeholders across teams so others can move quickly and confidently — driving cross-team decisions to a timely close and escalating when needed. Build the AI-augmented platform. Design org-wide tooling, guardrails, and policy-as-code that help every engineer get more out of AI-assisted development — infra primitives an LLM can safely reason about and PR against, automated review, and standards that hold as AI changes how code gets written. Own Infrastructure-as-Code standards for Kubernetes, AWS, and GCP using Terraform, Helm, Kustomize, and emerging tooling — setti

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Technical Program Manager 1. Overview This role provides Tier 1 and Tier 2 support for Jira Cloud users across Mastercard programs, ensuring seamless onboarding, issue resolution, and vendor coordination. You will work closely with engineering, product, and vendor teams to maintain operational excellence and drive adoption of Jira Cloud and integrated tools like Aha! and X-ray. 2. Role • Serve as the primary contact for Jira Cloud support , handling Remedy tickets, onboarding queries, and user escalations. • Facilitate onboarding of programs to Jira Cloud, including license validation, test case migration, and user provisioning. • Conduct demos and office hours to guide users through Jira workflows and integrations. • Partner with engineering teams to troubleshoot configuration issues, permission models, and data sync errors between Jira and Rally/Aha • Support CRQ planning and execution for Jira schema updates, field validations, and migration logic enhancements. • Coordinate with vendors to resolve plugin issues, validate architecture diagrams, and ensure compliance with Mastercard’s security standards. • Monitor and clean up orphaned work items, duplicate epics, and initiatives across programs using Domo reports and Confluence documentation. • Maintain Confluence pages for s

The NVIDIA DGXC Data Services team builds cloud-native systems, frameworks, and services for managing data across hybrid and multi-cloud infrastructure. We are building the next-generation data and storage infrastructure to solve some of the hardest problems in AI: storage, access, ingestion, governance, observability, and data management for exabyte-scale, high-performance GPU-based training and inference jobs. Our work gives NVIDIA teams the foundational capabilities they need to build, train, deploy, and operate AI products at scale without reinventing critical data infrastructure for every workload. What you will be doing: Build storage technologies, client libraries, and filesystem frameworks that help AI workloads access data across object stores, file systems, and hybrid cloud infrastructure. Develop high-performance storage paths for training and inference workflows, including data loading, checkpointing, caching, POSIX-style access, and object-store integration. Build observability systems that diagnose storage bottlenecks, attribute GPU idle time to I/O behavior, and expose actionable telemetry through production monitoring stacks. Improve performance, scalability, and reliability of storage systems serving massive datasets, deep directory trees, and high-concurrency AI workloads. Work closely with internal AI teams, platform teams, SRE, and operations to validate storage behavior against real workloads and production environments. Use modern software engineering practices, including AI-assisted and agentic development workflows, while maintaining high standards for design, testing, security, performance, and verification. What we need to see: BS in Computer Science, Information Sys

About Datadog: Datadog is the world-class monitoring and security platform for cloud applications. We’re dedicated to creating, developing, and supporting our product and customers, allowing for seamless collaboration and problem-solving among Dev, Ops and Security teams globally. Built by engineers, for engineers, our SaaS product is used by organizations of all sizes across a wide range of industries to enable digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stack. Given the resilience of cloud technologies and importance placed today in digital operations and agility, Datadog continues to innovate and is well positioned for the long term. The Team: Datadog's Finance team collaborates with teams across the organization, providing commercial, operational, and analytical support to ensure that Datadog's business continues to grow as rapidly and efficiently as possible. The Opportunity: We are seeking a Senior Revenue Accountant to join our growing Finance team at Datadog. As a member of the finance team, the Senior Revenue Accountant will be a key member of the team in developing more efficient revenue / billing data flow and close processes and be on the front lines of supporting the rapid growth of the Company. You Will: Work closely with the broader finance team to support the finance operations, accounting and compliance function for our business. Complete month-end close responsibilities including preparing journal entries, balance sheet reconciliations, and supporting schedules. Prepare memos and analyses surrounding revenue recognition under ASC 606 for more complicated billing arrangements Assist in calculation of key internal revenue metrics and invoicing during month-end close. Generate and issue prepaid and monthly invoices issued in arrears. Help customers understand their bills, which vary with usage and plan type. Effectively detect, communicate and work to resolve customer bi

About Backblaze Backblaze provides reliable, high-availability cloud storage trusted by consumers, SMBs, enterprises, and developers in over 150 countries. Backblaze B2 Cloud Storage supports data-intensive workloads including backup, media, analytics, and modern AI pipelines. Our teams focus on building secure, durable, scalable systems with a strong emphasis on application security from day one and protecting customers to keep them safe. While there is a lot to celebrate in our past, there are greater opportunities ahead of us. About the Role We are seeking a Back-End Engineer for our Computer Backup Team. This team focuses on the services supporting our Computer Backup product. In this role, you will build and maintain systems to back up and restore exabytes of data. We are looking for an engineer who is excited to learn to develop high-performance, highly multithreaded architectures. We value versatility and are looking for someone comfortable designing and working across any technology as our needs evolve. Responsibilities Design and develop highly scalable, performant services and APIs in a Java ecosystem. Integrate AI coding agents and frameworks into your workflow to accelerate development, refactor legacy components, and improve code quality. Collaborate on the full technical lifecycle, including estimation, design, development, and delivery. Collaborate across the organization to ensure project success. You will often engage with QA, Data Centers, Marketing, Product Management, Support, Legal/Compliance, and Security to gather necessary context and requirements to implement solutions correctly, help customers, and solve problems. Diagnose complex issues and maintain the stability of large-scale production systems. Collaborate across functional teams and provide technical leadership to foster engineering excellence. Required Qualifications A broad track record of project deliveries and successfully shipping software systems. 3+ years of experience with Java

Opportunity Overview: We are seeking a Lead Data Engineer to drive the design and delivery of our cloud-native healthcare data platform. You will lead the implementation of scalable data solutions built on AWS, Apache Iceberg, Lake Formation, Glue Catalog, Athena, dbt, and modern orchestration frameworks. This role combines deep hands-on engineering with technical leadership and collaboration across platform, analytics, and business teams. What you’ll do: Lead Data Engineering Initiatives Lead delivery of complex data engineering projects across multiple teams Drive technical execution from design through production deployment Establish scalable implementation patterns Build and Optimize Data Platforms Design and implement batch and near-real-time pipelines Build reusable ingestion, transformation, validation, and publishing frameworks Support modernization of legacy workloads Lakehouse Engineering Lead Apache Iceberg implementation and optimization Define standards for schema evolution, partitioning, compaction, and metadata management Ensure efficient storage and query performance Data Quality and Reliability Implement data quality frameworks Drive observability and monitoring practices Improve operational excellence and reliability Technical Leadership Review architecture and design proposals Conduct code reviews and engineering reviews Mentor engineers and establish best practices ISMS roles and responsibilities: Good knowledge of Information practices. Assist the manager in all the information security activities implementation and maintenance process. Ensuring the team and imparted with Competence related to Information security Responsible for implementation of security policies and procedures and report any issues to the Information Security Manager. Required Qualifications: 8–12 years of Data Engineering experience. Experience leading enterprise-scale data initia

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! As the Senior Director of Solutions Architecture for Asia Pacific at Cohere, you will own Solutions Architecture across the region. Our customers here are banks, telcos, industrials and governments who cannot send their data to someone else’s cloud, and who are past experimenting and into production. You will lead the team that makes those deployments real, and you will be accountable for the technical win across the region. This is a build. Today a Solutions Architecture team covers Korea, Japan and Southeast Asia. You will own that team, grow it, and build the in-region depth this market needs. You will be expected to open doors on your own credibility and network from your first weeks, set direction for the function, sit on the Solution Architecture leadership team alongside the regional leaders for the Americas and EMEA, and contribute to company-wide decisions with your peers across Sales, Product and Engineering. In this role, you will: Build and Lead the Team: Hire, coach and develop the Asia Pacific Solutions Architecture organization, and establish in-region depth rather than relying on support flown in from other regio