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Security Captain Jobs

7,737 active opportunities · Updated for October 2026

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Explore current security captain jobs. Use filters to narrow by work mode, employment type, experience and date posted.

DC
42mo ago

About Dot Collective We are a new generation consultancy based across UK and EU and founded on the premises of the engineering excellence and empowering people to make an impact. We work with all modern tech stacks and typically run agile scrum on all our projects. About you Are you passionate about data and its transformational powers? Do you like being able to make a huge difference in a limited period of time? We might be just the right place for you. Your key skills and capabilities: Engage with either AWS or GCP cloud ecosystems to ensure best practise development for new and existing solutions Build, deploy and manage Cloud Infrastructure through with IaC concepts Hands on experience with serverless services such as AWS’ S3, Glue or Lake Formation and GCP’s Cloud Functions, Big Query or Data Fusion Integrate native cloud services with 3 rd party solutions through the offered networking solutions Understanding of the Python ecosystem from local development to production environments Experience of DevOps approaches supported with Python Work within a delivery focused team using Agile methodologies Comfortable with Docker and some exposure to orchestration tools Review and implement security best practices within cloud environments We expect you to know how to architect, design, develop, deploy and operate a data platform and be a good leader for your team. Our promise to you We will always see you as a human being and will do our very best to support your needs and wellbeing – well-designed co-working and collaboration spaces, remote working patterns that work for you, parenting leave, sabbaticals and ability to work on personal projects. We believe that a geled team is worth its weight in gold – we will do everything we can to avoid breaking well-performing teams. Whilst continuity across every project is not always possible, we thoughtfully assemble high-performing, blended

pythonawsgcp
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D
42mo ago

P-188 Our mission at Databricks is to radically simplify the whole data lifecycle from ingestion to ETL, BI, and all the way up to ML/AI with a unified platform. To achieve this goal, we believe the data warehouse architecture as we know it today will be replaced by a new architectural pattern, Lakehouse ( CIDR 2021 paper ), open platforms that unify data warehousing and advanced analytics. The new architecture will help address several major challenges, including data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support. A critical part of realizing this vision is the next generation (decoupled) query engine and structured storage system that can outperform specialized data warehouses in relational query performance, yet retain the expressiveness and of general purpose systems such as Apache Spark™ to support diverse workloads ranging from ETL to data science. As part of this team, you will be working in one or more of the following areas to design and implement these next gen systems that leapfrog state-of-the-art: Query compilation and optimization Distributed query execution and scheduling Vectorized execution engine Data security Resource management Transaction coordination Efficient storage structures (encodings, indexes) Automatic physical data optimization What we look for: A passion for database systems, storage systems, distributed systems, language design, or performance optimization Experience working towards a multi-year vision with incremental deliverables Motivated by delivering customer value and impact 8+ years of experience working in a related system (preferred) Optional: PhD in databases or distributed systems 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. Actual compensation packages are

aiExcelwarehouse
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D
42mo ago

P-188 Our mission at Databricks is to radically simplify the whole data lifecycle from ingestion to ETL, BI, and all the way up to ML/AI with a unified platform. To achieve this goal, we believe the data warehouse architecture as we know it today will be replaced by a new architectural pattern, Lakehouse ( CIDR 2021 paper ), open platforms that unify data warehousing and advanced analytics. The new architecture will help address several major challenges, including data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support. A critical part of realizing this vision is the next generation (decoupled) query engine and structured storage system that can outperform specialized data warehouses in relational query performance, yet retain the expressiveness and of general purpose systems such as Apache Spark™ to support diverse workloads ranging from ETL to data science. As part of this team, you will be working in one or more of the following areas to design and implement these next gen systems that leapfrog state-of-the-art: Query compilation and optimization Distributed query execution and scheduling Vectorized execution engine Data security Resource management Transaction coordination Efficient storage structures (encodings, indexes) Automatic physical data optimization What we look for: A passion for database systems, storage systems, distributed systems, language design, or performance optimization Experience working towards a multi-year vision with incremental deliverables Motivated by delivering customer value and impact 8+ years of experience working in a related system (preferred) Optional: PhD in databases or distributed systems 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. Actual compensation packages are

aiExcelwarehouse
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D
Databricks
📍 Mountain View• $166K – $225K/yr
46mo ago

P-78 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As a software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale. The impact you'll have: Our backend teams span many domains, from our core compute fabric resource management infrastructure, to service platforms, to machine learning infrastructure. For instance, you might work on challenges such as: Resource management infrastructure powering the big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic way Develop reliable, scalable services and client libraries that work with massive amounts of data on the cloud, across geographic regions and Cloud providers Build tools to allow Databricks engineers to operate their services across different clouds and environments Build services, products and infrastructure at the intersection of machine learning and distributed systems. What we look for: BS (or higher) in Computer Science, or a related field 5+ years of production level experience in one of: Java, Scala, C++, or similar language. Experience developing large-scale distributed systems. Experience working on a SaaS platform or with Service-Oriented Architectures. Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes. Experience with security and systems that handle sen

javasqlaws
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D
51mo ago

P-78 While candidates in the listed locations are encouraged for this role, candidates in other locations will be considered. At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As a Senior Software Engineer on the Infrastructure teams, you will build scalable systems to power the Databricks platform, making it the de-facto platform for running Big Data and AI workloads. You will build and extend the Databricks infrastructure platform, which includes multi-cloud systems and services for managing thousands of Kubernetes clusters at scale, storing petabytes of data, highly scalable and distributed API gateways, rate limiting framework, network security and encryption, developer tools and infrastructure (we use Bazel), testing frameworks, and scalable CI/CD framework among many others. The impact you will have: Build and extend components of the core Databricks infrastructure Architect multi-cloud systems and abstractions to allow the Databricks product to run on top of existing Cloud providers Improve software development workflows for engineering and operational efficiency. Use our own data and AI platform (yes!) to analyze build and test logs and metrics to identify areas for improvement. Develop automated build, test, and release infrastructures. Set and uphold the standard for engineering processes to support high-quality engineering, including style and code checking, test harness

pythonjavaaws
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W
Warp
📍 Within Us And• Remote
57mo ago

Warp: We're Building the Platform for Agentic Development Warp began with the vision of reimagining one of the fundamental dev tools, the terminal, to make it more usable and powerful for all developers. As AI has advanced, Warp has evolved beyond its terminal roots into a full agentic development environment: a workbench for dispatching agents to code, deploy, and debug production software. Today, we have three products. Warp is the agentic development environment born out of the terminal, built on an orchestration platform for running hundreds of cloud agents in parallel. And Warp Factories is our newest product: infrastructure for engineering teams to build and run their own cloud software factories, where fleets of agents triage, spec, implement, review, and verify code across a company's entire SDLC. Together, these products are creating the scaffolding for developers to build their own workflows for working with agents. In Warp, you can seamlessly switch between running commands, launching agents, and iterating on code with agents, eliminating the need to jump between a terminal and an IDE. It all works with our built in SOTA agent or top agents like Claude Code, Codex, Gemini CLI, and OpenCode. On the orchestration side, you can build custom agents that are triggered programmatically, tracked centrally, and shared across full teams to run agents across organizations without compromising security or reliability. Continue a cloud agent run locally in Warp or on the web with one click. And with Warp Factories, teams can go a step further and set up entire automated workflows around their SDLC, retaining full control over their data, models, and compute along the way. With over 1 million active developers at companies including Docker, Ramp, and Peloton, and over half of the Fortune 500, and revenue that grew over 44x last year, Warp is one of the fastest growing startups in the AI development space. Our mission has remained the same even as AI has advanced: to e

REMOTEdockerlinuxai
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P
Palantir
📍 Denver• Full-time• Hybrid• $65K – $85K/yr
59mo ago

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 As a Procurement Operations Analyst, you will sit on the Finance team and work across the procurement spectrum to ensure smooth and efficient purchasing, contracting, and supplier operations. As a motivated self-starter, you will be the liaison between procurement, vendors, and internal cross-functional teams to ensure that all purchases follow company procedures, meet expected service-level agreements (SLAs), have sufficient, thorough documentation, and that services and goods being rendered are compliant with the agreed upon contractual terms. Core Responsibilities Organize and track contractual documentation between the company and vendors, and ensure completeness of the contracts repository. Support Business Development teams, Procurement team, Contract Manager, and Legal Counsel in ushering contracts through the purchasing workflows. Track, measure, report, and evaluate vendor performance in the context of existing contractual obligations. Act as bridge between cross-functional teams such as Financial Planning & Analysis (FP&A), Accounting, Legal, Information Security, Compliance and the various business departments to remove blockers and push transactions through to completion. Identify and support improvements to end-to-end purchasing process, including supplier onboarding, contracting, and purchase order management. Build and maintain program for ensuring company-wide compliance with Procurement Policy. Work alongside the Contract Manager to ensure that vendors within the vendor base have passed the necessary compliance and information security reviews and are compliant with the requ

Excelaccountingfinance
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D
Databricks
📍 San Francisco• $166K – $225K/yr
60mo ago

P-78 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As a software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale. The impact you'll have: Our backend teams span many domains, from our core compute fabric resource management infrastructure, to service platforms, to machine learning infrastructure. For instance, you might work on challenges such as: Resource management infrastructure powering the big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic way Develop reliable, scalable services and client libraries that work with massive amounts of data on the cloud, across geographic regions and Cloud providers Build tools to allow Databricks engineers to operate their services across different clouds and environments Build services, products and infrastructure at the intersection of machine learning and distributed systems. What we look for: BS (or higher) in Computer Science, or a related field 5+ years of production level experience in one of: Java, Scala, C++, or similar language. Experience developing large-scale distributed systems. Experience working on a SaaS platform or with Service-Oriented Architectures. Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes. Experience with security and systems that handle sen

javasqlaws
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P
Palantir
📍 Washington• Full-time• $65K – $85K/yr
63mo ago

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 As a Procurement Operations Analyst, you will sit on the Finance team and work across the procurement spectrum to ensure smooth and efficient purchasing, contracting, and supplier operations. As a motivated self-starter, you will be the liaison between procurement, vendors, and internal cross-functional teams to ensure that all purchases follow company procedures, meet expected service-level agreements (SLAs), have sufficient, thorough documentation, and that services and goods being rendered are compliant with the agreed upon contractual terms. Core Responsibilities Organize and track contractual documentation between the company and vendors, and ensure completeness of the contracts repository. Support Business Development teams, Procurement team, Contract Manager, and Legal Counsel in ushering contracts through the purchasing workflows. Track, measure, report, and evaluate vendor performance in the context of existing contractual obligations. Act as bridge between cross-functional teams such as Financial Planning & Analysis (FP&A), Accounting, Legal, Information Security, Compliance and the various business departments to remove blockers and push transactions through to completion. Identify and support improvements to end-to-end purchasing process, including supplier onboarding, contracting, and purchase order management. Build and maintain program for ensuring company-wide compliance with Procurement Policy. Work alongside the Contract Manager to ensure that vendors within the vendor base have passed the necessary compliance and information security reviews and are compliant with the requ

Excelaccountingfinance
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A
69mo ago

What you will be doing: Key responsibilities As a Data Engineer Intern, your role will encompass: ● Supporting to conduct ambitious projects in the transformation of clients through data ● Collaborating with the consulting and data team to provide comprehensive services to clients ● Using your technical abilities to assist in the transformation of clients’ marketing department Among your responsibilities as a Data Engineer Intern, you will be responsible for: ● Help securing delivery on projects with Data Engineer ● Communicating the success of projects among the company ● Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs ● Ensuring that your solutions are bringing values to the client problematic ● Being a good team player, knowing your role and responsibility in the global ambition ● Caring for the happiness of the team, ensuring work is delivered to a high standard and providing feedback and mentoring Being a great tech person ● Demonstrating the skill and credibility required to ensure the success of our clients’ initiatives ● Researching and developing new technical approaches to address problems efficiently ● Sharing best practices and contributing to Artefact’s institutional knowledge ● Embodying Artefact’s values and inspiring others to do the same ● Experience working with Big Data technologies such as Hadoop, Spark, Kafka... ● Delivering Data Lake / Big Data projects including (data ingestion, machine learning model application, code deployment) ● Being able to adapt your solutions and approaches to technical environment (security, access, tools) Qualifications :Education and Experience ● Bachelor’s degree in Software Engineering, Computer Engineering, or related fields ● Solid knowledge of computer science, data processing and data architecture ● Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritise an

javascriptpythonsql
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D
69mo ago

P-97 Our mission at Databricks is to radically simplify the whole data lifecycle from ingestion to ETL, BI, and all the way up to ML/AI with a unified platform. To achieve this goal, we believe the data warehouse architecture as we know it today will be replaced by a new architectural pattern, Lakehouse ( CIDR 2021 paper ), open platforms that unify data warehousing and advanced analytics. The new architecture will help address several major challenges, including data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support. A critical part of realizing this vision is the next generation (decoupled) query engine and structured storage system that can outperform specialized data warehouses in relational query performance, yet retain the expressiveness and of general purpose systems such as Spark™ to support diverse workloads ranging from ETL to data science. As part of this team, you will be working in one or more of the following areas to design and implement these next gen systems that leapfrog state-of-the-art: Query compilation and optimization Distributed query execution and scheduling Vectorized execution engine Data security Resource management Transaction coordination Efficient storage structures (encodings, indexes) Automatic physical data optimization What we look for: A passion for database systems, storage systems, distributed systems, language design, or performance optimization Experience working towards a multi-year vision with incremental deliverables Motivated by delivering customer value and impact 5+ years of experience working in a related system (preferred) Optional: PhD in databases or distributed systems 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. Actual compensation packages are based o

aiExcelwarehouse
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O
OpenAI
📍 San Francisco• Full-time• Remote• $187K – $207K/yr
Just now

About the Team OpenAI’s IT organization supports the mission of deploying artificial general intelligence (AGI) for the benefit of all. Our team is committed to providing seamless technological support and solutions to ensure that all OpenAI employees are well-equipped and connected. This enables them to contribute effectively towards our AI research, corporate operations and product initiatives. About the Role As an ITAV Deployment Engineer at OpenAI, you will deliver the audiovisual systems for new offices, expansions, and refresh projects. You will turn approved designs into installed, configured, and tested systems, coordinate integrators and site dependencies, and carry defects through verified closeout. Your coordination begins at project inception and continues through delivery, commissioning, and acceptance by the receiving support team. You will partner with ITAV Engineering on design decisions, Network Engineering on connectivity, and Workplace and Capital Builds on site readiness and delivery timing. In this role, you will: Deliver assigned AV build packages for new offices, expansions, and refreshes using approved designs, room standards, and installation requirements. Coordinate the ITAV workstream for office construction projects from inception through delivery, partnering with Capital Builds, Network Security, and Workplace Design and Construction to align requirements, schedules, dependencies, and handoffs. Review drawings, equipment lists, site conditions, and integrator plans; identify missing prerequisites and raise design exceptions before installation. Coordinate equipment staging, installation sequencing, vendor deliverables, and site access with integrators, Workplace, Capital Builds, and ITAV program partners. Configure conferencing endpoints, Q-SYS controls and audio processing, and AV-over-IP connections to match the approved design. Prepare accurate device and port records and coordinate IP addressing, DNS, DHCP, VLAN, and connectivity req

REMOTEartificial intelligenceai
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C
Capco
📍 New York• $198K – $248K/yr
Just now

Managing Principal, Cybersecurity & AI Location: New York (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent Lead the future of Cybersecurity and AI in Financial Services The Role Joining Capco means joining an organization that is committed to an inclusive working environment where you are encouraged to #BeYourselfAtWork. Capco Cybersecurity is a multi-faceted team focused on evaluating, defining, and delivering risk-aware solutions for leading financial services organizations. We are seeking a Managing Principal in the New York Metro area to help scale our Cybersecurity practice at a pivotal stage of growth. This role blends senior leadership responsibilities—driving business development, leading delivery, and developing teams—with a mandate to shape and lead our Cyber + AI offering. You will work closely with senior stakeholders to build market propositions, develop pipelines, deliver impactful programs, and grow a high-performing team. What You’ll Do Define and scale a Cyber AI strategy aligned with market demand and business priorities Develop offerings including accelerators, playbooks, and reference architectures Lead complex cybersecurity and AI-enabled security engagements end-to-end Build and grow client relationships, acting as a trusted advisor to senior stakeholders Lead business development activities including pipeline creation, proposals, and deal closure What We’re Looking For 12+ years’ experience in cybersecurity, information security, or technology risk Ability to be onsite in New York City 3 days per week Experience within a management or technology consulting environment Strong track record delivering complex cybersecurity programs Experience with AI security, GenAI governance, or AI-enabled security operations Ability to communicate technical concepts clearly to diverse audiences Bonus Points For Knowledge of frameworks such as NIST, ISO, or FFIEC Experience across domains such as cloud security, IAM, or resilience Re

artificial intelligenceairecruitment
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T
Toast
📍 United States• Remote• $186K – $298K/yr
Just now

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. We are looking for a technical manager to lead, scale, and evolve our ServiceNow platform. You will champion a strategic vision for a platform supporting 7,000+ users, balancing deep technical acumen with people leadership to drive platform innovation and deliver complex, high-value initiatives. As the primary technical authority, you will navigate ambiguous priorities to translate business needs into robust, scalable, and secure architecture. By mentoring a high-performing team and fostering a culture of technical excellence, you will ensure our ServiceNow ecosystem remains a resilient, long-term asset aligned with Toast’s enterprise strategy. A day in the life (Responsibilities) Define and Drive the long-term platform vision and technical strategy, ensuring alignment business needs and scaling requirements. Architect data-driven roadmaps that prioritize high-value automation, platform UX/UI optimization, and the integration of emerging AI capabilities (NowAssist, Virtual Agent, MCP Integrations). Hands-on execution, configuration, and customization of the platform while leading the technical architecture and engineering of the ServiceNow ecosystem, governing system design, integration frameworks, and data-driven platform optimizations. Direct the full product lifecycle for ServiceNow modules, aggressively managing technical debt and balancing new feature velocity with platform stability. Establish and enforce rigorous performance metrics and service level agreements across all ServiceNow workflows to ensure optimal system responsiveness and user productivity. Oversee structural integrity through security hardening, biannual upgrade cycles, and hands-on guidance for Flow Designer and IntegrationHub development, and Performance management. Act as the primary technical au

REMOTEjavascriptai
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Please note – this is a subcontractor Talent Pool. We will only be in touch if a suitable role is available in your area. At ISOQAR, we draw on our experience, knowledge, and ambition to empower organisations to achieve their highest potential. Through our robust portfolio of progressive solutions, comprehensive range of certifications and industry-leading insights , we lead by example to amplify excellence within the organisations that we support. We are seeking an experienced and qualified Lead Auditor to join our team on a subcontract basis. The ideal candidate will have a strong background in electrical engineering, electrical goods, manufacturing, calibration, or mobile phone industries, along with proven experience auditing ISO standards, Plan, conduct, and report on audits for ISO 9001, 14001, 45001, and 27001 compliance, ensuring full adherence to the standards. Provide clear and constructive feedback on findings to clients, helping them understand areas of compliance and opportunities for improvement. Review and verify clients’ management systems, documenting compliance levels and preparing detailed audit reports. Maintain strong knowledge of current ISO standards and best practices. Collaborate with client teams and stakeholders to support them through the audit process. Requirements: Must hold Lead Auditor certifications for ISO 9001, 14001, 45001, and/or 27001. A minimum of 3 years of relevant auditing experience across these standards, preferably in a variety of industries. Strong understanding of compliance requirements for quality, environmental, health and safety, and information security management systems. Excellent analytical, report-writing, and communication skills. Full Driving Licence. Travel to client locations as needed. Proven track record of independent or subcontracted audit roles. Familiarity with relevant legal and regulatory requirements in the field of ISO management standards.

auditing
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