Security Officer Jobs

Job Title: Consultant Psychiatrist – Forensic Psychiatry - Leeds Salary: £99,532 – £131,964 per annum (NHS Consultant Pay Scale) Contract Type: Permanent, Full-time Job Overview: We are looking for an experienced Consultant Psychiatrist to join a secure forensic mental health service, providing specialist psychiatric care to individuals involved in the criminal justice system. The service operates across low, medium, and high-security units and involves working with complex forensic cases requiring specialist risk management. Key Responsibilities: In this role, you will conduct detailed forensic risk assessments and provide expert witness testimony in court proceedings. You will develop and oversee rehabilitation pathways for forensic patients transitioning to lower security settings. Working closely with probation services, police, and the Ministry of Justice, you will coordinate care. Additionally, you will provide consultation and leadership to forensic nurses, psychologists, and social workers, implement violence reduction strategies and risk management frameworks, and participate in multi-agency safeguarding meetings, providing expert advice on criminal responsibility and mental health defenses. Requirements: GMC registration with a CCT in Forensic Psychiatry. Experience in secure hospital settings, prison mental health, or criminal law assessments. Strong understanding of mental health law, forensic risk assessment tools, and behavioral management techniques. Benefits: Additional on-call payments and forensic allowances. NHS leadership development and academic research opportunities. Comprehensive forensic psychiatry training and legal exposure. How to apply? If you feel your expertise is suited to this role, please apply today and our specialist team will be in touch to discuss it with you in more detail. If you are registered with Pulse and recommend a friend to us, you can earn £300 per recommendation, once they have worked over 200 hours*.&nbs

RDQ226R497 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 tackle 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. You will be a Sr Product Manager for Unity Catalog ( https://databricks.com/product/unity-catalog ). Unity Catalog is the metadata and governance foundation for the Lakehouse, providing not only fine grained security and governance capabilities, but also performance and productivity capabilities such as lineage, search, discovery, auditing, and compliance, for our customers' data and AI assets. This role is requires coordinating all product activities from vision to implementation, including engaging large enterprise customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success. The impact you will have: Design and launch new governance and security capabilities as part of Unity Catalog. Define and build new platform services that enable Databricks’ data & AI product teams (ML/AI, Data Science & Engineering, Data Warehousing, etc.) to easily add new workload-specific governance capabilities that enhance the value of Unity Catalog and the Lakehouse. Take new features you envision from ideation / exploration with customers to full launch and rollout, including a marketing plan, field enablement, and broad cust

RDQ226R497 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 tackle 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. You will be a Sr Product Manager for Unity Catalog ( https://databricks.com/product/unity-catalog ). Unity Catalog is the metadata and governance foundation for the Lakehouse, providing not only fine grained security and governance capabilities, but also performance and productivity capabilities such as lineage, search, discovery, auditing, and compliance, for our customers' data and AI assets. This role is requires coordinating all product activities from vision to implementation, including engaging large enterprise customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success. The impact you will have: Design and launch new governance and security capabilities as part of Unity Catalog. Define and build new platform services that enable Databricks’ data & AI product teams (ML/AI, Data Science & Engineering, Data Warehousing, etc.) to easily add new workload-specific governance capabilities that enhance the value of Unity Catalog and the Lakehouse. Take new features you envision from ideation / exploration with customers to full launch and rollout, including a marketing plan, field enablement, and broad cust

Overview: The Data Acquisition team within the Foundations organization at OpenAI is responsible for all aspects of data collection to support our model training operations. Our team manages web crawling and GPTBot services and works closely with Data Processing, Architecture, and Scaling teams. We are looking for a skilled Full-Stack Engineer to join our Data Acquisition team to build and optimize the interfaces and tools that power our data infrastructure. Responsibilities: Develop and maintain full-stack applications that support data acquisition, including internal tools and dashboards. Collaborate closely with cross-functional teams, including Data Processing, Architecture, and Scaling, to ensure seamless data ingestion and workflow management. Design and implement APIs to facilitate data interactions between internal services and external data sources. Enhance user experience by developing intuitive web-based interfaces for managing and monitoring data pipelines. Optimize backend services for performance, scalability, and security in a distributed computing environment. Work with legal and compliance teams to ensure our data acquisition processes adhere to privacy regulations and best practices. Deploy and maintain infrastructure using Kubernetes and Infrastructure-as-Code (IaC) methodologies. Analyze system performance, conduct experiments, and improve data workflows to maximize efficiency. Qualifications: BS/MS/PhD in Computer Science or a related field. 4+ years of industry experience in full-stack development. Proficiency in frontend frameworks (React, Vue, or similar) and backend technologies such as Python, Node.js, or Go. Strong expertise in RESTful APIs, GraphQL, and database design (SQL and NoSQL). Experience building data-intensive applications that handle large-scale datasets. Familiarity with cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes, Docker). Prior experience with web crawling and large-scale data processing is a

As a Research Scientist on our team, you will partner with Research Engineers, working on fundamental research problems and collaborating with Datadog's product and engineering teams to translate research advances into products. Building on our track record of AI-powered solutions (e.g., Bits AI , Bits Evolve , and our time series foundation model ), Datadog AI Research tackles high-risk, high-reward problems grounded in real-world challenges in cloud observability and security. We are focused on two research areas: World Models for Observability -- Training multimodal foundation models that learn the joint dynamics of distributed systems across metrics, traces, logs, topology, and events. These models power advanced forecasting, anomaly detection, root cause analysis, counterfactual simulation ("what if?"), and provide a learned planning backbone for our autonomous agents. Trained Agents for Observability -- Post-training models to operate autonomously across Datadog's domain. SRE incident response is our first target, with a clear path to code repair, security response, and infrastructure optimization. We build the simulation environments, RL training loops, and evaluation infrastructure needed to train agents that match or surpass frontier models at a fraction of the cost. What You'll Do: Conduct research in generative AI and machine learning, building specialized foundation models and trained agents for observability Train multimodal models on large-scale, diverse telemetry data (metrics, logs, traces, topology, events) using distributed training infrastructure Design and build simulated environments and RL training loops for on-policy agent training and evaluation Collaborate with cross-functional teams (Product, Engineering) to integrate capabilities like multimodal world modeling and autonomous agents into Datadog's products Stay at the forefront of foundation models, world models, and RL-based agent research Contribute to r

NK Securities Research is a leading financial firm that leverages cutting edge technology and sophisticated algorithms to trade the financial markets. Founded in 2011, we have gained invaluable experience in the field of High Frequency Trading across different asset classes. We are seeking a Network Infrastructure Manager to lead our network operations, ensure setup, maintenance, reliability, and optimize performance to support our trading activities. Key Responsibilities: As a Network Infrastructure Manager, you will be responsible for designing, implementing, and managing the firm’s network infrastructure to ensure high availability, low latency, and security. You will collaborate with trading, systems, and development teams to meet the demanding requirements of algorithmic trading and maintain seamless exchange connectivity. Design and implement network infrastructure in colocation for low latency exchange connectivity Design and implement network infrastructure for inter and intra data centres Develop scalable network architectures to accommodate growing business requirements Optimize network performance for local, wide-area, and data center networks. Oversee daily network operations, ensuring 24/7 network availability and minimal downtime. Manage network related hardware such as switches, routers, and firewalls across multiple data centers. Lead incident response for network issues, identifying root causes and implementing solutions. Develop and maintain tools for real-time network monitoring and performance analysis. Optimize configurations for minimal packet loss, latency, throughput and jitter. Evaluate and implement new technologies to improve network efficiency and reliability. Ensure network security by managing firewalls, VPNs, and intrusion detection systems. Collaborate with compliance teams to ensure adherence to regulatory requirements. Implement best practices for securing sensitive trading data and infrastructure. Work closely with trading, develop

Education: Master or Bachelor’s degree in computer science, information systems management or related field. Solution and Architecture certifications such as TOGAF or other. Experiences: More than 12+ years of experience in information technology, with 8+ years spent in data architecture or technology solutions definitions and implementations. Extensive experience in banking and financial services domain Knowledge & Skills: Expertise in Data Architecture, Data Strategy and Roadmap for large and complex organization and systems and implemented large scale end-to-end Data Management & Analytics solutions Experience in transforming traditional Data Warehousing approaches to Big Data based approaches and proven track record of managing risks and data security Expertise with DW Dimensional modeling techniques, Star & Snowflake schemas, modeling slowly changing dimensions and role playing dimensions, dimensional hierarchies, and data classification Experiences in cloud native principals, designs and deployments. Extensive experience working with and enhancing Continuous Integration (CI) and Continuous Development (CD) environments Expertise in Data Quality, Data Profiling, Data Governance, Data Security, Metadata Management, and Data Archival Define workload migration strategies using appropriate tools Drive delivery in a matrixed environment working with various internal IT partners Demonstrated ability to work in a fast paced and changing environment with short deadlines, interruptions, and multiple tasks/projects occurring simultaneously Must be able to work independently and have skills in planning, strategy, estimation, scheduling, Strong problem solving, influencing, communication, and presentation skills, self-starter Experience with data processing frameworks and platforms (Informatica, Hadoop, Presto, Tez, Hive, Spark etc.) Hands-on experience with related/complementary open source software platforms and languages (e.g. Java, Linux, Python, GIT, Jenki

SENIOR ACCOUNT EXECUTIVES this role requires 3 days on site in Boston, MA $105,000 + commissions Position Description IANS is seeking multiple Senior Account Executives (SAE) to join our sales teams. The SAE will be responsible for generating new IANS Intelligence business in a specified metro region. The ideal candidate is a top producer with outside sales experience and demonstrated ability to engage C-level executives in highly technical conversations. Key traits include team-focused, interest in information security, and a passion for learning. The SAE will possess skills and work ethic aligned with our values of grit, results, initiative, passion, positivity, teamwork and curiosity. Core Responsibilities Drive sales revenue for assigned accounts Execute full-lifecycle sales activities to close new business and exceed goals Consistently achieve activity, performance and results KPIs Facilitate technical conversations with prospects and subject matter experts (Faculty) at IANS Forums, CISO Roundtables and Technical Symposiums Contribute to the IANS sales team and company culture Travel to visit prospects and attend IANS events (approximately 30-40%) Candidate Profile and Qualifications The qualified SAE candidate will have 4+ years of experience and a proven track record exceeding sales goals. We are targeting individuals who demonstrate strong competency in the following areas: Executive level communication and presentation skills Experience generating discovery meetings with target account Process orientation Interest in information security and complex technical content Highly motivated and able to thrive in a quota-driven environment Strong sense of professional accountability and integrity High level of energy, effective time management skills and a sense of urgency Established ability in building social network Strong team and collaborative orientation Confident but takes a humble approach in working with

If you’re interested in joining the Druva family but don't see a position posted that aligns with what you're looking for, please join our talent community. Submit your resume below, and a recruiter will review and reach out when we have an opportunity arise that matches your skillset & interests. Druva, the autonomous data security company, puts data security on autopilot with a 100% SaaS, fully managed platform to secure and recover data from all threats. The Druva Data Security Cloud ensures the availability, confidentiality, and fidelity of data - providing customers with autonomous protection, rapid incident response, and guaranteed data recovery. The company is trusted by its more than 6,000 customers, including 65 of the Fortune 500, to defend business data in today’s ever-connected world. Amidst a rapidly evolving security landscape, Druva offers a $10 million Data Resiliency Guarantee ensuring customer data is protected and secured against every cyber threat. Visit druva.com and follow us on LinkedIn , X and Facebook .

(P-1174) We are hiring a Senior Staff Software Engineer for Databricks' Engineering team reporting to an Engineering Leader. You will be part of the Databricks engineering organization, working with teams that develop Databricks products and features for thousands of enterprises worldwide. Key Characteristics As an executive engineering individual contributor at Databricks, you will have full ownership of the product or infrastructure direction in a major area, driving it from initial development to scalable solutions with clear business impact. You will serve as a force multiplier by elevating stability, reliability, and organizational processes, while bringing deep expertise in large-scale distributed systems. You will mentor senior engineers, contribute to recruiting, and lead high-impact company projects, often tackling complex problems beyond their comfort zone. Job Description At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. The Impact you will have: Solve real business needs at large scale by applying your software engineering. Deliver a highly scalable, available, and fault-tolerant engine processing hundreds of TB of data daily across thousands of customers Low level systems debugging, performance measurement &

(P-1174) We are hiring a Senior Staff Software Engineer for Databricks' Engineering team reporting to an Engineering Leader. You will be part of the Databricks engineering organization, working with teams that develop Databricks products and features for thousands of enterprises worldwide. Key Characteristics As an executive engineering individual contributor at Databricks, you will have full ownership of the product or infrastructure direction in a major area, driving it from initial development to scalable solutions with clear business impact. You will serve as a force multiplier by elevating stability, reliability, and organizational processes, while bringing deep expertise in large-scale distributed systems. You will mentor senior engineers, contribute to recruiting, and lead high-impact company projects, often tackling complex problems beyond their comfort zone. Job Description At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. The Impact you will have: Solve real business needs at large scale by applying your software engineering. Deliver a highly scalable, available, and fault-tolerant engine processing hundreds of TB of data daily across thousands of customers Low level systems debugging, performance measurement &

P-1347 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. Networking Infrastructure is a core part of the platform that powers all our data and AI products. The platform also powers key enterprise security features used by customers across all our products to build connectivity solutions to cloud resources and prevent data exfiltration. And we're setting up the team from scratch in Bengaluru , India. We are seeking an experienced Staff Software Engineers with a networking background to join the Networking Infrastructure team. As one of the seed members of the Bangalore site, you will be focussing on building new backend connectivity services that powers millions of VMs running on Databricks. You will also be leading the design and development of new services that powers the connectivity between our control plane and compute plane. This new platform enables Databricks to increase scalability of our compute plane while also efficiently use cloud resources. You will work closely with cross-functional teams, including product management, operations, and other engineering teams, to ensure the delivery of robust, scalable, and efficient networking systems. This is an excellent opportunity for a hands-on leader who thrives in a fast-paced environment and is passionate about solving novel multi-cloud and distributed systems challenges. What we look for: 12+ years of production level experience in one of: Python, Java, Scala, C++, or similar language 7+ years of experience developing large-scale distributed system s from scratch Experience working on a SaaS platform or with Service-Oriented Architectures. Extensive experience working in the Networking dom

P-1347 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. Networking Infrastructure is a core part of the platform that powers all our data and AI products. The platform also powers key enterprise security features used by customers across all our products to build connectivity solutions to cloud resources and prevent data exfiltration. And we're setting up the team from scratch in Bengaluru , India. We are seeking an experienced Senior Software Engineers with a networking background to join the Networking Infrastructure team. As one of the seed members of the Bangalore site, you will be focussing on building new backend connectivity services that powers millions of VMs running on Databricks. You will also be leading the design and development of new services that powers the connectivity between our control plane and compute plane. This new platform enables Databricks to increase scalability of our compute plane while also efficiently use cloud resources. You will work closely with cross-functional teams, including product management, operations, and other engineering teams, to ensure the delivery of robust, scalable, and efficient networking systems. This is an excellent opportunity for a hands-on leader who thrives in a fast-paced environment and is passionate about solving novel multi-cloud and distributed systems challenges. What we look for: 8+ years of production level experience in one of: Python, Java, Scala, C++, or similar language 4+ years of experience developing large-scale distributed system s from scratch Experience working on a SaaS platform or with Service-Oriented Architectures. Extensive experience working in the Networking dom

Education Degree, Post graduate in Computer Science or related field (or equivalent industry experience) Experience Extensive knowledge of Wealth Management, architecture, modules and hands on experience of front to back implementation of Wealth Management Suite Minimum 8 years of experience in Wealth Management Must have good experience of handling Trade Life Cycle Must have experience in implementing End to End solution in Wealth Management Must have good experience in API integration. Technical Skills Should have development experience in SQL-languages with understanding of SQL-databases Excellent understanding of the Asset Management and Investment Banking Experience in Business Analysis and System Implementation with extensive experience in Trading platforms Working knowledge of industry related protocols including FIX, EMSX and TSOX Experience in Wealth Management and Trading systems including Advent, SAXO, SWIFT, Bloomberg, Reuters General understanding of event driven systems Functional Skills Experience in Banking, Financial and Fintech experience in an enterprise environment preferred Experience in following best Coding, Security, Unit testing and Documentation standards and practices Experience in Agile methodology Effectively research and benchmark technology against other best in class technologies Focus on quality of the deliverables to ensure long term stability of the system Soft Skills Able to influence multiple teams on technical considerations, increasing their productivity and effectiveness, by sharing deep knowledge and experience Self-motivator and self-starter, Ability to own and drive things without supervision and works collaboratively with the teams across the organization Have excellent soft skills and interpersonal skills to interact and present the ideas to Senior and Executive management

Job Description: We are seeking a skilled Python Engineer to join our dynamic team. The ideal candidate will be responsible for developing robust web frameworks, building backend code to efficiently serve datasets, and performing data transformations to support our data-driven applications. This role requires a deep understanding of Python, web development frameworks, data processing, and database management. Roles and Responsibilities: Core Python: Be proficient in the concepts and features of the Python language , experienced with web frameworks like Flask and FastAPI for developing RESTful APIs, and skilled in asynchronous programming using asyncio. Experience with handling concurrent connections and optimizing I/O operations. Should have a deep understanding of microservices architecture and be capable of writing clean, efficient, and maintainable code. Security Best Practices and Requirements Understanding of security practices for microservices, including authentication, authorization, and encryption. Experience with securing APIs using OAuth, JWT, and API gateways. Web Framework Development: Design, develop, and maintain scalable web frameworks using Python. Collaborate with front-end developers to integrate user-facing elements with server-side logic. Ensure the web frameworks are secure, performant, and maintainable. Have a sound knowledge of one or more web frameworks that are based on Python, such as Django, Flask, Pyramid, etc. Should have the know how to use the framework's features, such as routing, templating, database integration, authentication, testing. Object Relational Mappers (ORMs): Develop backend systems to serve datasets through APIs and other interfaces. Implement data access layers, integrating with various databases and data storage solutions. Optimize backend code for performance, scalability, and reliability. Be able to use ORMs to interact with databases using Python objects. ORMs abstract away the low-level SQL queries and provi