Security Preparedness Lead Jobs

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Software Development Engineer to join our team. This is a hybrid role, reporting to the Senior Director of Software Engineering in the Engineering department based out of Hyderabad. You will join the Engineering team that built the world’s largest cloud security platform from the ground up. What you’ll do (Role Expectations) Understand how to build and operate high scale systems Provide service and product wide architectural guidance, and drive impactful technical decisions Establish and enforce best practices for coding, testing, observability, and CI/CD pipelines to maintain high-quality, production-ready services Drive cross-team collaboration and lead initiatives in performance optimization, reliability improvements, and adoption of new technologies/tools to accelerate feature velocity Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building t

About the Team OpenAI’s Healthcare team is working to ensure that advances in AI meaningfully improve health for everyone. We build AI systems that support patients, clinicians, and healthcare organizations while setting a high standard for deploying AI responsibly in a high-stakes domain. On the Healthcare team, we are building products and infrastructure that bring OpenAI’s capabilities into healthcare organizations and clinical workflows. We serve health care systems, insurance companies, and the broad range of healthcare IT companies. Our products include connecting ChatGPT with healthcare data and systems and building reliable enterprise experiences that can operate within complex security, privacy, compliance, and interoperability requirements. We work closely with product, research, design, security, privacy, GTM, and our healthcare customers to turn powerful AI capabilities into dependable products that clinicians and healthcare organizations use in their everyday work. About the Role We are looking for backend and full-stack software engineers to build the systems behind OpenAI’s healthcare products. You will work across backend services, APIs, data systems, integrations, and product surfaces to connect AI with healthcare workflows and enterprise data. You’ll tackle the technical challenges involved in making these systems secure, reliable, observable, and scalable enough for real-world healthcare environments. This is a product-engineering role for someone who can move between customer problems and complex system architecture, and who is comfortable owning ambiguous problems end-to-end. In this role, you will: Design and build backend and full-stack systems powering OpenAI’s healthcare products. Build services, APIs, and data pipelines that connect OpenAI products with healthcare systems and enterprise data. Develop integrations with electronic health records and other healthcare data sources. Design systems that meet demanding requirements around privacy,

Role Overview Build the software services that power products, platforms, and better business decisions. As a Software Engineer II, you’ll develop scalable backend applications, APIs, integrations, and AI-enabled features using Python and cloud technologies. You’ll contribute to solutions from design through production, helping improve reliability, performance, security, and developer productivity. This is an opportunity to solve meaningful engineering challenges, grow your technical ownership, and collaborate with experienced engineers across the development lifecycle. Here’s a breakdown of what you’ll do (not all of it, just the important stuff) Design and build scalable backend services, REST APIs, integrations, and reusable software components using Python and, where relevant TypeScript. Develop data ingestion, transformation, service-to-service communication, and automation capabilities that support reliable product experiences. Contribute to AI-enabled features and use AI development tools responsibly to improve coding, testing, research, documentation, and delivery. Apply sound engineering practices across architecture, performance, security, testing, debugging, and maintainability. Deploy and operate services using AWS and CI/CD workflows, contributing to monitoring, troubleshooting, documentation, and continuous improvement. Partner with engineers and cross-functional colleagues through design discussions, code reviews, technical problem-solving, and knowledge sharing. These are the essentials you’ll need to get an interview 3–5 years of professional experience building and delivering production software in an agile environment. Strong hands-on experience with Python and backend development, including APIs, integrations, or service-oriented applications. Experience working with cloud platforms, preferably AWS, and familiarity with deployment or CI/CD practices. Working knowledge of software design principles, testing, debugging, performance optimization, an

MongoDB Technical Services Engineers use their outstanding problem solving and customer service skills, along with their deep technical experience, to advise customers and to solve their complex MongoDB problems. Technical Services Engineers in the Infrastructure team are skilled in automation, backup, performance, and security that underpins mission-critical deployments at scale. In addition engineers within the team have specialisations in advanced technology areas such as Search, Vector Search, auto-embedding, event-driven and agentic workloads. Our engineers combine their MongoDB expertise with passion, initiative, teamwork, and a great sense of humor to achieve exceptional results for our customers. We are looking to speak to candidates who are based in Sydney for our hybrid working model. The standard work week post ramping will be Sunday - Thursday every week. With three days in office. Why MongoDB is a fantastic place to work and build your career Be a part of the company that’s reinventing the database, passionate about innovation and speed Enjoy a fun, inspiring culture that is engineering focused Work with exceptionally talented people around the globe Learn, contribute, and make an impact on the product and community Cool things you’ll do MongoDB, the developer data platform and AI platform of choice for modern applications, is on a mission to change the way people think about databases. As they build intelligent, data-driven experiences on our platform, our customers naturally encounter questions and challenges about how our approach to data and databases fits their specific use cases and architectural needs. In Technical Services, it’s our job to guide these people, helping them design, operate, and optimize their solutions so they can succeed with MongoDB. You'll be working alongside our largest customers, solving their complex issues - resolving questions on architecture, performance, recovery, security, and everything in between. You'll be an e

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role: Location: New York City Elastic is looking for an exceptional Regional Vice President to lead our Financial Services Strategic Accounts business. This leader will be responsible for a team of experienced sales professionals serving some of the largest and most complex financial institutions in the world across banking, capital markets, payments, and insurance. This is a highly visible leadership role with significant responsibility for growth, customer relationships, talent, and execution. We are looking for a proven sales leader who knows how to build and run a high-performing business—not simply manage a territory. You will set the strategy for the region, create and develop pipeline, coach and develop experienced sellers, build relationships with senior customer executives, and personally engage in our most important accounts and opportunities. You will establish a high standard for accountability, preparation, operational discipline, and customer engagement while creating an environment where talented people can do their best work. The right leader understands how to build strategic, multi-year relationships with the world's largest financial institutions and can help customers solve critical business and technology challenges across Search, Security, Observability, data, and AI. You will work clo

INFRASTRUCTURE ENGINEER - Linux & Data Center Location: San Francisco Bay Area Department: Information Technology — Infrastructure Engineering Reports To: Infrastructure Engineering Manager Employment Type: Full-time Experience Level: 2–4 years Base Salary: $100,000–$125,000 USD annually Travel: Periodic data center and colocation site visits On-Call: Participates in a shared infrastructure on-call rotation, with senior escalation support Location: San Francisco Bay Area Eligibility: U.S. citizenship required On-site requirement: This role has hands-on data center responsibility and cannot be performed fully remote. ABOUT RAPIDFORT RapidFort is a cybersecurity company focused on helping organizations secure and optimize their software supply chain and containerized environments. Our platform helps teams reduce software vulnerabilities and attack surface while improving the security and efficiency of modern cloud-native applications. We work with commercial enterprises and public-sector organizations operating in highly regulated and security-sensitive environments. ABOUT THE ROLE RapidFort Inc. runs its core systems on infrastructure we own and operate. We are looking for an Infrastructure Engineer to help build, automate, and run that estate alongside our senior engineers. This is a hands-on role with a deliberate weighting: roughly 70% Linux systems engineering and automation, 30% data center hardware, storage, and network. Most of your week is spent in the Linux environment — building, patching, scripting, and troubleshooting — and a real part of it is spent with your hands on physical infrastructure. This is a growth role, and we mean that concretely. You will work to standards set by our Infrastructure Engineering Manager and Lead Infrastructure Engineer, with design review and mentorship built into how the team operates. You are not expected to arrive with deep storage or network architecture experience. You are expected to be strong on Linux, genuinely co

Perplexity is looking for a commercially minded attorney to join our Legal team. In this role, you’ll own the full commercial legal lifecycle. You will draft, negotiate, and close a wide range of agreements across partnerships, procurement, infrastructure, and licensing. You will build scalable legal infrastructure and enable the business to move quickly without unacceptable risk. You’ll work closely with teams across the business, including product, engineering, security, finance, and sales to close deals, strengthen our data security and compliance posture, and serve as a trusted advisor on the AI-specific legal questions that come with operating at the frontier of this technology. The ideal candidate brings deep experience negotiating a wide range of commercial technology agreements, including infrastructure and compute procurement agreements, a strong command of data privacy and security frameworks, and the practical judgment to make principled risk calls independently. This is a high-impact, hands-on role for someone who thrives in fast-paced environments, knows how to be a true partner to the business without being a bottleneck, and is excited to help build a best-in-class legal function at one of the most consequential AI companies in the world. Responsibilities Lead end-to-end drafting, review, and negotiation of commercial agreements, including MSAs, SaaS and API agreements, DPAs, partnership and reseller agreements, strategic collaboration and co-marketing agreements, procurement and vendor contracts, technology and infrastructure agreements, and IP licensing arrangements. Serve as a primary legal partner across the business, providing fast, practical, and business-aligned counsel that accelerates deal velocity without compromising on risk Management. Provide strategic counsel on legal risks across AI infrastructure, compute, partnerships, and enterprise deployments as the company scales. Advise on AI-specific legal considerations in commercial agreements,

As a Contract Crypto Engineer at Capco, you’ll design, develop, and support cryptographic solutions that protect data at rest and in transit across complex enterprise environments. You’ll bring together expertise in encryption technologies, mainframe systems, application development, and secure engineering practices, with a particular focus on Crypto as a Service (CaaS) capabilities. Working alongside enterprise technology teams, you’ll help deliver secure, resilient solutions that meet security, compliance, and operational requirements within financial services. What You’ll Do Design and develop secure solutions for data-at-rest and data-in-transit encryption, applying established cryptographic practices. Contribute to system design, architecture, application development, deployment, and ongoing platform support. Develop and support Crypto as a Service (CaaS) capabilities and enterprise-grade security solutions. Collaborate with enterprise technology teams to ensure cryptographic solutions meet security, compliance, and operational requirements. Support development practices, deployment pipelines, and release processes using enterprise tools and standards. What We’re Looking For Strong knowledge of encryption technologies, including symmetric and asymmetric cryptography, public key cryptography, and digital signing services. Experience designing and developing secure systems, applications, and enterprise technology solutions. Knowledge of IBM z/OS and related development tools, alongside mainframe technologies including COBOL, JCL, IMS, DB2, and Endeavor. Working knowledge of Java and Spring, with experience using application servers such as JBoss and WebSphere. Broad understanding of the technical environments, software, hardware, programming languages, tools, and operating systems used within large enterprise environments. Bonus Points For Knowledge of the IBM ICSF Crypto engine. Experience with IBM Liberty. Experience with enterprise tools such as Jenkins, Servi

RDQ427R198 The Opportunity Multi-cloud is core to Databricks product strategy. Compute serves as the layer that abstracts the cloud from the rest of the company. Building unified infrastructure on top of heterogeneous clouds is a challenge that few companies experience. As an engineer on this team, you won’t just manage infrastructure; you will build it as a product. You will tackle the hard problems of distributed systems: sub-second container/MicroVM startup times, multi-tenant security isolation, and building a unified orchestration layer that scales across AWS, Azure, and GCP. What You’ll Do Design and build the next generation of our Serverless platform, focusing on high availability, low latency, and scale-to-zero efficiency. Build a single compute stack that supports heterogeneous workloads, including GPU instance qualification for AI training and stateful execution for Lakebase. Solve Multi-Cloud Complexity: Develop platform-level abstractions that allow Databricks to run seamlessly across all major cloud providers. Optimize everything from the API gateway down to the host-level networking and container orchestration. Work alongside industry experts who have built world-class systems like Borg, Kubernetes, and Uber’s infrastructure. What We’re Looking For 5+ years of production-level experience in one of: Python, Java, Scala, C++, or a similar language 4+ years of experience developing large-scale distributed systems from scratch Experience with Kubernetes, Docker, or MicroVM technologies (e.g., Firecracker) and a strong grasp of cloud provider internals (AWS/Azure/GCP). You aren't just a user of tools; you understand how to build them from the ground up when existing solutions fail at our scale. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.&n

The team Product Platform builds the foundations behind Cash App and Square. We own shared systems, abstractions, and tools that help product teams build high-quality iOS experiences with speed, consistency, and confidence, while shaping how AI-native development is adopted across our engineering organizations. The role As a Staff iOS Engineer on Product Platform, you will be a hands-on technical leader and a multiplier for iOS engineering. You will identify important problems that do not yet have clear ownership, prove a direction through hands-on work, and create systems that other teams can adopt. You will influence iOS architecture, developer experience, performance, reliability, security, and product quality across multiple teams. This is an individual contributor role with organization-level scope. Your goal is not to become a permanent bottleneck. You will create leverage through clear interfaces, strong documentation, sound technical decisions, and new technical leaders. You will Build and evolve the iOS platform Own and evolve foundational iOS systems, such as application architecture, navigation, deep linking, dependency management, lifecycle management, and shared user interface foundations. Design shared libraries, frameworks, and developer tools that product teams rely on. Find and frame systemic iOS problems that do not yet have clear ownership. Define technical strategy, architecture, standards, and measures of success across teams and applications. Build prototypes, reference implementations, and critical paths that prove a direction before broader adoption. Lead multi-quarter migrations and foundational initiatives from proposal through adoption. Establish durable practices for testing, observability, performance, release safety, security, and maintainability. Improve developer and AI ergonomics so both engineers and coding agents can work effectively with the platform. Contribute platform technology to open source when it creates value for the broa

What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 5M endpoints and 16M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Title: Staff Platform Engineer Reports to: Engineering Manager Location: Remote US Compensation Range: $200,000 to $220,000 base plus bonus and equity What You'll Do : Huntress is expanding our Platform Engineering team and looking for a Staff Platform Engineer who brings unshakeable resilience to complex infrastructure challenges. In this role, you will build, monitor, and scale the core cloud infrastructure supporting our security platform. You will step up to own platform infrastructure resilience and tackle complex problems across multi-region environments. Variety is built into this role: one week you might author custom Kubernetes admission controllers, and the next you are tackling multi-region capacity failover automation or tracking down obscure memory leaks in production pods. AI coding agents are part of how this team works, and you will be expected to use

About the Team The Integrity team builds the systems that protect OpenAI’s products, users, and ecosystem from abuse. We work across product engineering, infrastructure, safety, and operations to detect and prevent harmful, fraudulent, deceptive, and adversarial activity at global scale. As OpenAI builds new ads experiences, we are establishing the integrity foundation that will keep the ads ecosystem safe and trustworthy from the start. This includes protecting advertiser onboarding, detecting unsafe or policy-violating ad content, preventing fraudulent and abusive advertiser behavior, and defending the ads ecosystem against spam, manipulation, and other forms of abuse. Ads Integrity is a new and highly cross-functional area. The team partners closely with Ads, Product, Safety, Policy, ML, Privacy, Security, and operations teams to build protections directly into the ads platform rather than layering them on after the fact. This is an opportunity to define how integrity works for a new ads ecosystem from first principles. About the Role We’re looking for an experienced Software Engineer to build the backend systems and infrastructure that keep OpenAI’s ads products safe, trustworthy, and resilient to abuse. In this foundational role, you will design systems that detect, prevent, and respond to harmful, deceptive, fraudulent, or policy-violating activity across the ads lifecycle. The problems span advertiser onboarding and verification, account and behavioral risk, content safety, spam and fraudulent interactions, detection and enforcement infrastructure, and the systems that connect integrity signals and models to real-time product decisions. This is not an ML-specialist role, but familiarity with ML for Ads integrity is always welcome. You’ll work closely with ML engineers and researchers and build systems that consume and operationalize ML-based signals, but your primary focus will be designing and operating robust backend and distributed systems. You’ll help det

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. The Infrastructure Engineering team’s mission is to provide cloud native infrastructure, automation and tools that enable teams across Toast to deliver products in a safe, secure and agile manner, with minimal operational dependencies. As a Senior Infrastructure Engineer, you will be responsible for platform architecture and providing the automation and implementation for landing zones as well as network and security infrastructure for new AWS regions. A day in the life (Responsibilities) Work within a Scrum team to create, document and support various infrastructure as code modules. Create, document and support various tools and services used in order to support continuous integration, continuous delivery and continuous deployment of highly available infrastructure in various environments. Use your familiarity with DevOps methodologies and practices to foster a culture of quality while facilitating developer velocity. Create tools to help our developers move their infrastructure from a monolithic repo to individual service repos for use with our IDP. You believe internal tools deserve unit tests. Lead by example with code standards and design; help implement these across the scrum team’s products. Mentor and support developers within the organisation on using and extending of IaC tooling and support systems using DevOps methodologies. What you'll need to thrive (Requirements) Minimum 6+ years of software engineering experience, specialising in DevOps/Infrastructure/Platform engineering Hands on experience with object orientated programming is a MUST for this role. You must have hands on experience with writing Terraform Providers Expertise with at least one public cloud computing offering such as AWS, GCP or Azure infrastructure SDKs Expertise with Infrastructure-

About the Team OpenAI's GTM Partnerships team builds a strategic, global partner ecosystem to accelerate customer success, enable enterprise AI adoption, and drive durable growth in support of OpenAI's mission toward AGI. We work cross-functionally across Product, Engineering, Security, Legal, Marketing, Customer Success, and Sales to turn strategic partnerships into measurable business outcomes. This role sits within the GTM Partnerships organization and is responsible for leading OpenAI's strategic relationships with three of the world's largest Global Systems Integrators (GSIs): HCLTech, Wipro, and Cognizant . These partners play a critical role in helping enterprise customers design, deploy, and scale AI solutions by combining OpenAI's technology with deep industry expertise, consulting capabilities, and global delivery organizations. This role reports to the Head of GSIs and will be responsible for driving executive alignment, joint go-to-market strategy, commercial execution, and scalable partnership programs across these strategic accounts. About the Role We are hiring a Partner Director, HCL, Wipro & Cognizant to lead and grow three of OpenAI's most strategic Global Systems Integrator partnerships. You will own executive relationships, develop and execute joint business plans, and drive coordinated go-to-market motions that accelerate customer adoption and revenue growth. This is a highly strategic, externally facing role that requires a blend of executive relationship management, commercial leadership, operational excellence, and ecosystem expertise. You'll work closely with OpenAI Sales, Solutions Engineering, Customer Success, Product, Marketing, Legal, Security, and partner leadership teams to build repeatable motions that generate pipeline, enable successful customer deployments, and deepen long-term strategic alignment. The ideal candidate understands how large consulting organizations operate, has experience driving revenue through strategic partn

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are seeking a proficient Revenue Manager (8–10) years of revenue accounting and operations experience in the software/SaaS industry) to join our India team. Reporting to the Director of Revenue, this role is a critical pillar in facilitating our month-end and quarter-end revenue close operations, maintaining contract compliance under ASC 606, and optimizing our revenue architecture. The ideal candidate brings extensive operational close experience, robust ASC 606 expertise for contract reviews, and hands-on experience with revenue automation tools like Zuora RevPro. In this role, you will lead the month-end close, manage deferred revenue and RPO reporting, direct UAT for New Product Introductions (NPI), and partner with IT and Transformation teams to optimize upstream processes What You Will Be Doing Manage and execute the E2E operational close in RevPro and NetSuite, ensuring a predictable, precise, and timely month-end and quarter-end close cycle.Contract Review & Deal Governance: Review non-standard customer contracts under ASC 606 guidelines to conclude proper revenue recognition treatment, performance obligations (POBs), and proper system setup. Manage and report on Deferred Revenue, Remaining Performance Obligation(RPO), Current RPO (cRPO), and Unbilled Accounts Receivable (UAR). Conduct MoM, QoQ, and YoY flux analys