1401 jobs found

About you You're happy working across teams and departments to align and coordinate the development and delivery of data centric solutions. You spot risks and opportunities and fill in the gaps between delivery teams. You help remove blockers throughout the data supply chain. You produce demos and MVPs for analysis to test out possible solutions that you can use to demonstrate ideas or gaps. You take an iterative approach to solving complex problems and seek feedback to quickly arrive at the best result. Role Responsibilities Coordinate across teams to ensure consistent data product development and utilisation, establishing and delivering the defined data architecture. This includes working with the Data Architect to understand team needs, use cases, and constraints for the use case data ecosystems. Work with both data producers and consumers to optimise existing data products and the data within them to meet evolving business needs. Advocate for teams delivering data as a product. Collaborate on the design of the research data ecosystem, addressing disambiguation, data product creation, API development, model building, harmonisation, standardisation, and governance. Adopt company standardised technology, including cloud platforms, and collaborate with technology teams to improve offerings. Consider the best technology for data teams, given a spectrum of technical literacy. Work with data privacy and governance teams to ensure data security and appropriate accessibility, adhering to relevant regulations (e.g., GDPR). Build relationships with other departments/disciplines/groups to ensure alignment and collaboration. Clarify constraints, trade offs, or important decisions to non technical stakeholders. Introduce business and product leaders to data and data engineering concepts and align solutions to user and business needs. Foster a safe and collaborative technical community, growing technical knowledge and cultivating knowledge sharing in and across teams. Provide data related technical and architectural assistance to product delivery teams and IT when needed. Assist and support tech leads and senior developers to help unblock issues. What you will be doing 1 month Collaborate with key stakeholders (product managers, engineers, architects) to understand the current state of the research data landscape and identify immediate opportunities for improvement. Document the as is data/technical landscape for research data and the wider domain. Begin building relationships and feedback loops with data governance, security, and other relevant groups to ensure alignment on data standards, security policies, and architectural principles. Start to map out the existing data sources and identify potential issues that need to be addressed. 3 months Maintain a high level roadmap for the development of the research data ecosystem, outlining key milestones and deliverables for the next 6 12 months, and present to senior leadership. Determine how the technical architecture can support delivery autonomy while supporting consistent user journeys across our platforms. Perform feasibility analysis and provide recommendations on Build vs. Buy for systems that support the agile development process, scalability, and data governance requirements. Create an architectural forum to bring together architects and tech leads in the research data initiatives. 6 months Based on feedback from initial delivery, refine the roadmap and architecture, incorporating lessons learned and adjusting priorities as needed. Scale the successful approaches to other areas of the research data ecosystem, empowering teams. Develop and communicate a clear vision for the future of the research data ecosystem, highlighting its role in supporting strategic organisational goals. Skills & Experience Essential Proven experience designing, delivering, and scaling data intensive applications. Demonstrated ability to architect data solutions that meet performance, scalability, and security requirements. Experience working on transformation projects involving introducing new technologies and ways of working within a business. Ability to drive adoption of new data architectures and technologies. Ability to clarify and uncover technical requirements, risks, and opportunities with tech leads and collaborators. Experience translating business needs into technical specifications. Advocacy for and enforcement of cross functional technical and data requirements (e.g., GDPR, security, operability). Deep, demonstrable experience delivering with various types of databases and design, including relational databases, NoSQL databases, graph databases, vector stores, and data warehouses, particularly in cloud environments. Experience with data modelling techniques and data warehousing methodologies (e.g., Kimball, Inmon, Data Vault). Hands on experience with cloud data platforms and services (AWS, Azure, GCP). Familiarity with cloud native data architectures and technologies. Desirable Experience with data management tools and processes. Experience with AI and Machine Learning, including MLOps practices. Experience with decentralised Data Mesh and Data Product architecture principles. For all roles in all locations, we offer a competitive, industry benchmarked salary. To find out more about the package provided at each location, visit

Senior Security Architect - 6 Month Contract (Inside IR35) Jersey - 75% Onsite 6-Month Initial Contract(Potential Extension) We are seeking an experiencedSenior Security Architectto join a major healthcare transformation programme. This is a critical role responsible for defining and governing security architecture across a complex connected healthcare environment, ensuring robust cyber security controls are embedded throughout cloud, infrastructure, application and data architectures. As the recognised security authority for the programme, you will provide strategic leadership, technical governance and security architecture expertise to support the delivery of secure healthcare services and digital platforms. Key Responsibilities Security Architecture & Technical Leadership Define and maintain the cyber security architecture framework, including security principles, standards, patterns and reference architectures. Act as the senior security authority across multiple programmes and projects. Ensure alignment between security architecture, enterprise architecture and industry best practice. Provide expert guidance to technical teams, programme stakeholders and senior leadership. Identity, Data & Infrastructure Security Design and govern modern Identity & Access Management (IAM) architectures. Establish secure approaches for data classification, encryption and privacy protection. Oversee the secure design of networks, APIs, integrations, middleware and third-party connectivity. Ensure new solutions support centralised logging, monitoring and security operations requirements. Design Authority & Security Assurance Serve as the Security Design Authority across infrastructure, network, application and data domains. Review, challenge and approve architecture and design artefacts. Embed security principles early within development, engineering and procurement lifecycles. Ensure adherence to security policies, standards and regulatory requirements. Risk Management & Threat Modelling Lead threat modelling activities across new and existing systems. Identify security risks and define practical mitigation strategies. Maintain and manage cyber risk registers, translating technical risks into business-focused language. Drive security improvements across cloud, hybrid and integrated technology environments. Essential Experience Proven experience operating as aSenior Security Architectwithin complex, large-scale and highly regulated environments. Strong expertise across: Security Architecture Identity & Access Management (IAM) Cloud and Hybrid Security Data Protection & Encryption Network Security & Secure Integration Security Governance and Risk Management Threat Modelling Extensive experience working with recognised security frameworks and standards, including: ISO 27001 NIST Excellent stakeholder management and communication skills, with the ability to engage effectively with both technical and non-technical audiences. Desirable Experience Experience or architectural knowledge of the following technologies would be advantageous: Qualys (Vulnerability Management) Darktrace (Network Threat Detection) Zscaler (Secure Service Edge / SSE) Microsoft Sentinel (SIEM / Security Operations) Contract Details Contract Length:6 Months IR35 Status:Inside IR35 Location:Jersey Onsite Requirement:Minimum 75% onsite Extension:Potential for extension Apply Now This is an excellent opportunity for a highly experienced Security Architect to play a key role in securing a major healthcare transformation programme, helping to deliver resilient, secure and innovative digital healthcare services. For further information or to apply, please submit your CV today.

Job Type: Permanent Reporting to: RE&ILS Head of Data Location: London Role Overview: The Lead Data Scientist is a crucial member of the extended RE&ILS Tech Leadership Team, responsible for building, leading, and nurturing a highly capable (New) Data Science and Machine Learning chapter. This role facilitates the successful delivery of new AI Cloud-based solutions against our growing list of business use cases (involving complex Data Analytics, Machine Learning, and AI Agent based solutions). You will co lead the new Data Science chapter with the RE&ILS Head of Data and help ensure its members provide Data Science capabilities and insights to support decision making across RE&ILS strategic Value Streams. Whilst the chapter grows, you are expected to be hands on actively helping to architect, design, and build AI or Data Science based solutions, using internally trained models, LLMs and/or a combination of both. Whilst undertaking this pioneering work it is essential that you and your entire chapter operates within the boundaries of the Group AI Governance Framework and maintains rigorous data governance standards. You will be accountable for this adherence. This is likely to be your first managerial role and the first time you have had one or more direct reports - having previously been a Senior Data Scientist or Machine Learning Engineer yourself. Key Responsibilities Chapter Leadership & Talent Management People Management: Lead, recruit, mentor, coach, train, and retain a high performing chapter of Data Scientists and Machine Learning Engineers (expected to grow to over the next few years), including both Hiscox FTE and Partner colleagues. Culture & Development: Cultivate a collaborative, engaged, and fulfilled team culture. Provide technical leadership, career guidance, and direction to the team, ensuring successful delegation to all chapter members. Best Practice: Ensure the chapter adheres to best practices in data science, AI, and complex analytics, sharing knowledge across the wider Hiscox Analytics and Data community through active participation in Communities of Practice. Mentoring: Mentor and educate others in the various data science techniques, encouraging the team to continually learn - especially supporting the adoption of LLMs and proprietary models that could significantly accelerate our ability to deploy value. Solution Delivery & ML Ops Excellence Hands On Architecture: Get hands on to help architect, design, and build complex models that integrate into existing IT solutions to improve data driven decision making throughout the Reinsurance Value Chain. ML Ops Platform: Actively work with the Head of Platform Engineering to establish and maintain a professional ML Ops platform to facilitate the effective support of developed models in production. Speed of Execution: Empower the chapter to work effectively within autonomous squads, delivering desired and valuable outcomes in an incremental manner while correctly balancing accuracy, fast return on investment, and reliability. Pipeline Collaboration: Work with Data Engineering and other teams to properly understand and contribute to the requirements and building of necessary data pipelines/products consumed by our models. Strategy, Governance & Innovation Use Case Identification: Continually work with key business leaders, the Head of Data and key stakeholders to identify new use cases and opportunities where data science/AI can deliver a competitive advantage or reduce waste/costs through efficiency gains. Governance & Compliance: Champion data and model governance, working within the Group AI Governance Framework. Ensure a mature understanding of data governance, lineage, and version control, and enforce data privacy by design in all new work. Innovation: Maintain a strong awareness of new trends and techniques in Data Science, AI, and Machine Learning. Drive the identification of innovative data solutions and technologies, and actively undertake Proof of Concepts and R&D to deliver reliable insights and potential next steps quickly. Communication: Ensure clear and effective communication of data science solutions and outcomes across business layers, technical teams, and senior leadership. Required Experience & Structure Reporting to: RE&ILS Head of Data; dotted line to Group Head of Data Science. Direct line management for Data Scientists and Machine Learning Engineers within the RE&ILS Data Science Chapter. Key Partners: RE&ILS CTO, Group Head of Data Science, RE&ILS Head of Data, Product Managers, Product Owners, and strategic partners (e.g. Google Cloud, Microsoft). Candidate Profile The successful candidate will be an energetic, highly capable, and passionate Senior Data Scientist who wants to move into their first people management role. You will need to balance technical expertise with effective people management and strategic business partnership. You must be comfortable working in an FCA regulated business, advocating for a data driven approach, and driving innovation while maintaining rigorous AI governance standards. Key Experience Deep Interest in Leadership: Demonstrated mentoring and coaching of junior team members, with evidence of successful business outcomes driven using advanced Data Science/AI. Technical Depth: Extensive hands on experience in architecting, designing, and building complex ML models, with strong cloud services knowledge and AI/ML/LLM ecosystem understanding. ML Ops Maturity: Proven ability to build, maintain, and support production deployed models, establishing effective monitoring, evaluation, and refresh processes. AI and Data Governance: Mature understanding of AI and data governance, data obfuscation & privacy laws, data version control, lineage, and application of AI governance frameworks in a regulated environment. Stakeholder Management: Experience managing collaboration with business unit leaders and external technology partners. Education: Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent. Technical Proficiency: Exceptional proficiency in Python (and R), SQL capabilities, mastery of machine learning & statistical modelling techniques, including generative AI, LLMs, AI Agents, NLP, CV.

IT Operations Platforms and Security Lead This role requires excellent management of a small team in IT along with managing stakeholders and vendors. You must be hands on technically in IT Infrastructure. The IT Operational Platform and Security Lead is responsible for overseeing the organisation's IT operations, ensuring the stability, continuity, security, and efficiency of its technology platforms within a global commercial insurance environment. While Microsoft technologies (Microsoft 365, Azure, Exchange Online) form a core part of the infrastructure, the role also encompasses broader enterprise IT systems, multi layered networking, security, data management, and third party platforms that support global business operations and the associated applications estate. The role requires a proactive leader who can drive IT operational excellence, manage security risks, focus on continual service improvement, drive transformational delivery projects, and work effectively with internal stakeholders and third party vendors to deliver a high quality Global IT services. Working in line with the Architecture defined IT principle of a 'buy before build' environment, the individual will need to ensure that outsourced and cloud based services are robust, cost effective, and aligned with business needs and the Strategic IT vision. They will also play a key role in enhancing cybersecurity, protecting data and systems, driving transformative operational change, enhancing IT processes and ensuring compliance with governance bodies and industry regulations. Due to the nature of the role, complexity Security, Compliance & Risk Management Define and enforce cloud security policies, identity management, and access controls to protect systems, networks, and data. Oversee the adoption of zero trust security principles to enhance protection across cloud platforms. Manage identity and access management (IAM) in a cloud first environment, including Azure AD, MFA, Conditional Access, SSO, and Privileged Access Management (PAM). Lead threat monitoring, detection, and response using cloud native security solutions such as Microsoft Defender, Sentinel, and SIEM platforms. Ensure compliance with cloud security frameworks and regulatory requirements (ISO 27001, NIST, GDPR, SOC2, FCA). Conduct regular security risk assessments, penetration tests, and vulnerability management across cloud services. Oversee endpoint security, cloud network and API security for robust protection across all assets. Define, manage and maintain accurate DR and BCP plans for the infrastructure area with biannual tests. Technical Experience Microsoft Azure Infrastructure design and administration, including topology, Azure networking, services, and component knowledge. Microsoft AD (Entra), Server and SQL experience. O365 administration and design. Global Software Patching and estate management via Intune. Firewall (Azure, CheckPoint and Cloudflare), DNS, VPN, WIFI and Local Area Network design & administration experience. Software Defined Networking (Cisco, Meraki, Versa). Key Skills Microsoft 365 & Azure: Strong experience managing Microsoft 365 (Exchange, SharePoint, Teams), Azure cloud infrastructure, and security tools such as Microsoft Defender and Sentinel. Security & Compliance: Deep knowledge of security frameworks (ISO 27001, NIST, CIS), compliance requirements (GDPR, SOC2), and risk management best practices. Identity & Access Management (IAM): Expertise in Azure AD, MFA, Conditional Access, Single Sign On (SSO), and Privileged Access Management (PAM). Threat Management & Incident Response: Ability to detect, respond to, and mitigate cyber threats using SIEM, endpoint security, and vulnerability management tools. Networking & Infrastructure Security: Understanding of firewalls, VPNs, SD WAN, DNS security, endpoint protection, and cloud security controls. IT Service Management & Automation: Experience implementing ITIL based service management, automating operational tasks, and optimising service delivery. IT Operations & Service Continuity: Ability to ensure IT systems are highly available, resilient, and fit for purpose, with a strong focus on business continuity and disaster recovery. Supplier & Vendor Management: Experience managing third party IT vendors, MSPs, and SaaS providers, ensuring service levels, performance, and cost effectiveness. Project Leadership & Change Management: Ability to lead technology projects, system upgrades, and platform migrations, ensuring smooth execution and minimal business disruption. Process Improvement & Automation: Strong analytical mindset to identify inefficiencies, automate workflows, and enhance security controls. Problem Solving & Decision Making: Capable of making informed decisions and resolving complex IT issues in a fast paced environment. Stakeholder Engagement: Ability to communicate effectively with technical and non technical stakeholders, including senior leadership and business users. Resilience & Adaptability: Comfortable working in an evolving technology landscape, with a proactive and security first approach. Summary of Skills Required: Global Enterprise level Infrastructure Management position for the last 5 years. Global team management (human resources, strategic delivery, operational service, audit lead for Infra, budget ). Key - 3rd party operational infrastructure vendor management - i.e management of managed service partners. Migration of Legacy VM based estates to SaaS and Cloud services platforms. Legacy tech to Azure knowledge/experience. Prior to the last 5 years, a technical infrastructure engineering level background, working on Windows Server, AD , SQL environments, Firewalls/SDWAN, and Networks (WAN &/or LAN). The Client is based in the City of London. This is a hybrid position with 3 days in the office. The salary for this role will be in the range £85K - £100K plus Benefits. Do send your CV to us in Word format along with your salary and notice period.

As a Senior Architect within Expedia B2B, you will shape the technical direction of our platform, bridging complex business challenges with scalable, forward thinking solutions. You will partner across engineering and product teams to guide decisions that directly drive outcomes for our global B2B partners. In this role, you will: Lead complex, cross functional technical projects and drive architectural design end to end, ensuring alignment with the North Star vision. Establish technical approaches, define common patterns and standards, and guide integrations across teams within the business unit. Apply systems thinking across organizational boundaries, analyzing issues holistically and making recommendations on policies and processes to improve efficiency. Facilitate collaboration among diverse stakeholders with varied perspectives to develop effective solutions to technical and business challenges. Partner with business stakeholders to develop a clear understanding of how your technology stack connects to business outcomes and the bottom line. Lead a community of practice, bringing people together for shared learning and fostering knowledge exchange across engineering teams. Mentor and support junior architects, developers, and engineers, sharing domain and industry expertise to accelerate their growth. Report on the status of complex, high impact initiatives to technical and business stakeholders through written and verbal communication. Drive digital strategy decisions and provide digital business model consulting within IT teams. Recognize opportunities to step into peer engineering management responsibilities as the need arises. Experience and Qualifications: Bachelor's degree in computer science, engineering, or a related technical field; or equivalent professional experience. 8+ years of professional experience in software architecture or a related engineering discipline (with a bachelor's degree), or 6+ years (with a master's degree). Experience leading technical design end to end across multiple projects, with a demonstrated ability to justify technology choices to both technical and non technical audiences. Experience working in decentralized, cross functional teams across at least two multi quarter projects. Formal experience mentoring at least three individuals. Proficiency in multiple technologies or programming languages, with deep expertise in at least one technical domain. Strong understanding of how complex systems interact, including integration and communication patterns across applications, databases, and technology platforms. Demonstrated ability to define and communicate technology standards and patterns across an organization. Preferred: Master's degree in computer science, engineering, or a related technical field; or equivalent professional experience. Active contributions to the broader engineering community, such as blog posts, open source contributions, tech talks, or conference presentations. Experience connecting technology decisions to lines of business outcomes and broader organizational goals. Familiarity with enterprise integration patterns and architectural governance frameworks. Accommodation requests Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at Equal Opportunity Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

About the role You will report directly to the Head of Information Security and work alongside a Senior Technical Support Engineer to form the senior core of the IT Delivery and Security Services team. You will own a broad portfolio of security responsibilities, from application security and secure SDLC enablement to AI governance and security programmes, with significant autonomy to shape how that work gets done. The role is hybrid within the UK, with occasional travel to our London office for collaboration and workshops. What you will be doing Application Security and Secure SDLC Embed security into Agile development by partnering with engineering squads during planning, refinement, and delivery, and be the security voice in the room. Define, roll out, and continuously improve secure coding standards, secure design patterns, and developer-friendly guidance that scales across the engineering team. Run threat modelling for new features and major architectural changes, capturing abuse cases and security requirements early, and apply emerging frameworks to model and mitigate new threat surfaces, especially for AI-powered features. Own SAST, SCA, DAST, container, and IaC scanning pipelines, using Snyk as the primary platform. Integrate with CI/CD, manage policies, and focus on developer experience and false-positive reduction. Triage and manage vulnerabilities end-to-end: classification, SLAs, fix validation, and reporting. Build frictionless guardrails such as pre-commit hooks, secure templates, reference code, and paved paths that make doing the right thing easy. Deliver targeted training and just-in-time enablement based on findings and stack specifics. Security Architecture and Design Advise on architecture choices for key product feature developments, including authorisation, secrets and key management, data protection, and zero-trust-aligned designs. Guide secure API and microservice patterns, including input validation, rate limiting, secure session handling, and token-based security (OAuth 2.0/OIDC). Review designs for cloud-native services and edge components, ensuring sensible security trade-offs aligned to product goals. Advise on the security architecture of agent orchestration, tool integrations, memory handling, and MCP server deployments as agentic AI capabilities expand. AI Security and Governance Apply and evolve Semble's approach to AI specific threats: prompt injection, excessive agent autonomy, tool and plugin abuse, AI supply chain risks, and context manipulation, using OWASP LLM Top 10 and OWASP Top 10 for Agentic Applications. Work with the Head of Information Security to develop and maintain AI governance posture, aligned with ISO 42001 and evolving AI regulatory landscape in healthcare. Assess risks from third party AI integrations, AI assisted development tooling, and agentic workflows, and implement appropriate mitigations. Security Operations and Threat Management Monitor, investigate, and respond to security alerts, incidents, and anomalous behaviour across Semble's environment. Develop and mature threat intelligence capabilities, including vulnerability management, penetration testing coordination, and incident response processes. Maintain and improve security tooling, logging, and detection capabilities with an automation first mindset. Contribute to incident response runbooks for application layer and AI related incidents, and support blameless post incident reviews to embed learning back into the SDLC. Identify and address security gaps proactively, improving the overall security posture. Compliance, Certification and Audit Readiness Own or co own delivery of compliance programmes, including ISO 27001, Cyber Essentials+, NHS DSPT, and the journey toward SOC 2 readiness. Support and contribute to ISO 42001 implementation as AI governance matures. Define and track pragmatic security KPIs such as time to remediate, coverage, critical resolutions within SLA, threat model coverage, and audit readiness indicators. Maintain audit quality documentation, evidence, and records at all times. Customer and Stakeholder Engagement Support the sales process by responding to customer security questionnaires and due diligence requests with accuracy and confidence. Occasionally engage directly with customers on security topics, acting as a credible representative of Semble's security function. Work with internal stakeholders to ensure security requirements are understood and embedded across the business. What we are looking for Required Minimum of 5 years' experience in application security, product security, or a combination of software engineering and security with strong AppSec ownership. Hands on experience with Snyk across SCA, SAST, Container, and IaC, including CI/CD integration and policy management. Strong grounding in modern web and application security: OWASP Top 10, API Security Top 10, and emerging understanding of the OWASP Top 10 for Agentic Applications. Practical experience embedding security into Agile workflows and DevSecOps tooling. Solid understanding of authn/authz patterns, secrets management, encryption, and cloud native security controls. Experience with compliance frameworks, particularly ISO 27001; familiarity with Cyber Essentials+, NHS DSPT, or SOC 2 is a strong advantage. Practical understanding of AI security risks, including prompt injection, LLM vulnerabilities, and agentic system threats, and how to address them in a product context. Experience working in a SaaS environment or similarly regulated industry, appreciating the product, engineering, and commercial context that security decisions sit within. Ability to communicate clearly with engineers, leadership, and occasionally customers, translating complex security risk into clear, actionable language. Genuine, hands on AI experience: you must be able to discuss specific ways you are already using AI to improve security operations, detection, or engineering workflows. A track record of maintaining security programmes to a continuously high standard, with audit readiness as a default rather than a periodic event. A proactive, ownership mindset: you identify gaps, propose solutions, and deliver them without waiting to be told. Desirable CISSP certification (strongly preferred). Experience with threat modelling methodologies such as STRIDE or attack trees, and running effective threat model sessions with engineering teams. Familiarity with API gateways, container orchestration, and software supply chain security. Experience securing AI enabled features, ML pipelines, agentic workflows, or MCP based integrations. Experience building or maturing a security function within a scaling organisation. Exposure to healthcare data regulations and NHS security requirements. Proficiency in the French language (nice to have, not mandatory). Benefits £80-90k salary package, reflecting the specialist and technical nature of this role. Autonomy and ownership - you set the vision and run with it. 36 days off: 25 holidays + bank holidays + 3 extra days (birthday and feel good days). Private health insurance covering physical and mental health, as well as dental and optical. Hybrid & flexible work environment - work from anywhere in the UK, with some flexibility to work across Europe. Latest MacBook (or Windows) and equipment to set up a home office ergonomically. Equal Opportunity We welcome applications from people of all backgrounds and walks of life, including those from groups typically underrepresented in the technology industry. We also encourage applications from disabled and neurodiverse candidates. If there are adjustments we can make to support you throughout the recruitment process, please let us know.

ADP is hiring a Full Stack .NET based AWS Senior Software Engineer Being able to work independently with minimal guidance, the ideal candidate will have strong business acumen, broad technical skills, and experience managing enterprise development and integration projects. The successful candidate will have a strong understanding of advanced C#.Net, SQL & NoSQL databases and experience of building cloud native REST APIs and serverless applications. Technical leadership, including the ability to coach and train other developers and to drive continuous improvement through established agile practices is key to this role. You will be comfortable spending more time supporting others than hands on coding yourself. In addition, you will be a champion for quality with recognition for the importance of automated testing, meeting non functional requirements, maintaining operational tooling, and enabling continuous delivery. This role requires a deep understanding of both front end and back end technologies, cloud infrastructure, and a strong commitment to best practices. The role provides leadership and guidance for modern technology roll out across teams, ensuring the success for the modernization of ADP products. WHAT YOU'LL DO: Provide technical guidance and mentorship to a team of software engineers, fostering a culture of continuous improvement and innovation. Be a catalyst for strong agile behaviors - working alongside the scrum master to enable engineers to have responsibility and authority for their work and for the team to be introspective and self correcting. Set the gold standard for the team's output and inspire others to deliver to it by following your example. Guide the team to deliver at a predictable cadence without compromising quality or non functional concerns. Provide strong governance within the team to ensure adherence to the principles as laid out by the system architecture. Build good relationships with other functions such as Architecture, Product, other development teams and the wider business to ensure your team is building the right solutions in the right way. Ensure outcomes are identified and measured for success. Conduct code reviews, enforce coding standards, and ensure the quality and maintainability of the codebase. Identify and resolve performance bottlenecks in applications and optimize the use of cloud resources. Implement best practices for application security, data protection, and compliance with relevant regulations. Maintain growth through awareness of modern technologies, both for yourself and the team. Drive improvement individually and collectively, mentoring as the need arises and through dedicated sessions. Provide transparency to other parts of the organization on project progress, team maturity and ongoing challenges. Speak confidently about the technology used in each product and the associated benefits and drawbacks. Liaise regularly with internal onshore and offshore delivery teams including other ADP technology business units. Maintain a focus on how the software will deliver value to the end user and how it can be tested, deployed, maintained and operated. Ensure the work undertaken by the team is well scoped and clearly defined. Maintain awareness and support of ADP policies and procedures. Key Skills and Qualifications Experience in building, delivering and operating APIs at high availability and scale. Knowledge of automated testing frameworks and testing best practices. Deep understanding of agile engineering practices. Technical Expertise Proficient in .NET Core, C# and related technologies. Strong experience with front end technologies such as React, StencilJS, Web components & TypeScript. In depth knowledge of AWS services, including but not limited to ECS, S3, Lambda, RDS, API Gateway, CDK. Experience with containerization technologies such as Docker. Proficient in SQL and NoSQL databases (e.g. SQL Server, PostgreSQL, DynamoDB). Strong understanding of RESTful APIs and microservices architecture. Leadership and communication Proven track record of leading and delivering complex software projects from conception to production in an agile environment. Proven experience in leading and mentoring software engineering teams. Excellent communication skills, with the ability to articulate technical concepts to both technical and non technical stakeholders to help drive fast decisions. Cloud and DevOps Extensive experience with AWS cloud architecture and services. Experience with automated testing, and infrastructure as code (IaC) using tools like AWS CDK, Terraform etc. Design Principles Strong understanding of good coding and testing practices such as clean code, SOLID and TDD. Problem Solving and Analytical Skills Strong problem solving skills and the ability to think critically and creatively. Ability to make informed decisions under pressure and handle multiple projects simultaneously. Education and Experience Bachelor's degree in computer science, engineering, or a related field (master's preferred). Extensive commercial track record in software development, with a focus on full stack development and cloud based applications. AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified Developer) are a plus. Preferred Skills and Qualifications Commercial track record of hands on experience in design, development, and delivery of cloud based applications. Understanding of modern web development, JavaScript frameworks and Micro Frontends. A good understanding of modern distributed systems concepts and the challenges involved. Ability to devise action oriented scheduling leading to delivery. Proven ability to partner effectively across functions, in complex organizations. Patience and dedication, with the ability to navigate complex environments through product knowledge and leadership style. The ability to adapt to change. Ability to identify, and focus on, what is important (Time Management and priorities tasks). Desirable skills and qualifications Experience of Payroll processes. Experience of HR processes. Diversity, Equity, Inclusion & Equal Employment Opportunity at ADP ADP is committed to an inclusive, diverse and equitable workplace, and is further committed to providing equal employment opportunities regardless of any protected characteristic including: race, color, genetic information, creed, national origin, religion, sex, affectionate or sexual orientation, gender identity or expression, lawful alien status, ancestry, age, marital status, protected veteran status or disability. Hiring decisions are based upon ADP's operating needs, and applicant merit including, but not limited to, qualifications, experience, ability, availability, cooperation, and job performance. Ethics at ADP ADP has a long, proud history of conducting business with the highest ethical standards and full compliance with all applicable laws. We also expect our people to uphold our values with the highest level of integrity and behave in a manner that fosters an honest and respectful workplace. Click to learn more about ADP's culture and our full set of values.

Job Description The job at a glance Join our team and you'll be responsible for providing technical leadership for our Data Platform team, defining technical direction and driving architectural decisions across data, platform and infrastructure domains. Working in the Data Platform department you will build scalable, reliable and well governed data platform capabilities that support analytics, AI and business critical products, while collaborating closely with Engineering Managers, Product Managers and Enterprise Architects. This is so important to us. By joining our team, you will be playing a vital role as together we reimagine the labour market to make it work for everybody. Your responsibilities Define and evolve the technical vision, roadmap and architecture of the Data Platform, driving decisions across data, platform and infrastructure domains Establish engineering standards, best practices and reusable patterns while partnering with Enterprise Architecture and influencing technical direction Drive engineering excellence by improving code quality, testing, observability, reliability and operational practices Support end to end delivery by guiding teams through complex technical challenges, improving decision making, and contributing to planning and risk management Mentor engineers, grow senior technical capabilities and champion AI assisted development and engineering automation Qualifications Proven experience as a Staff Engineer, Principal Engineer or in an equivalent senior individual contributor leadership role Strong background in data platforms, distributed systems and cloud native architectures, with experience shaping technical direction across teams and stakeholders Solid expertise in relevant technologies such as AWS, Terraform, Kafka/MSK, Airflow, Glue or Spark, and building scalable data solutions Experience with modern data ecosystems including data lakes/lakehouse architectures, Iceberg or similar table formats, as well as batch and streaming processing Knowledge of data quality, governance, cataloguing and observability tools (e.g. Datadog), with DBT or AI assisted engineering practices as a plus Your benefits 29 days holiday allowance + bank holidays Private medical and dental healthcare Pension contribution up to 10% 24/7 Employee Assistance Programme Life Assurance Cover Cycle to work scheme Hybrid working model Volunteering days and you can bring your dog to the office! Our commitment Equal opportunities are important to us. We believe that diversity and inclusion at The Stepstone Group are critical to our success as a global company, so we want to recruit, develop, and keep the best talent. We encourage applications from everyone, regardless of background, gender identity, sexual orientation, disability status, ethnicity, belief, age, family or parental status, and any other characteristic.

As a Senior Architect within Expedia B2B, you will shape the technical direction of our platform, bridging complex business challenges with scalable, forward thinking solutions. You will partner across engineering and product teams to guide decisions that directly drive outcomes for our global B2B partners. In this role, you will: Lead complex, cross functional technical projects and drive architectural design end to end, ensuring alignment with the North Star vision. Establish technical approaches, define common patterns and standards, and guide integrations across teams within the business unit. Apply systems thinking across organizational boundaries, analyzing issues holistically and making recommendations on policies and processes to improve efficiency. Facilitate collaboration among diverse stakeholders with varied perspectives to develop effective solutions to technical and business challenges. Partner with business stakeholders to develop a clear understanding of how your technology stack connects to business outcomes and the bottom line. Lead a community of practice, bringing people together for shared learning and fostering knowledge exchange across engineering teams. Mentor and support junior architects, developers, and engineers, sharing domain and industry expertise to accelerate their growth. Report on the status of complex, high impact initiatives to technical and business stakeholders through written and verbal communication. Drive digital strategy decisions and provide digital business model consulting within IT teams. Recognize opportunities to step into peer engineering management responsibilities as the need arises. Experience and Qualifications: Bachelor's degree in computer science, engineering, or a related technical field; or equivalent professional experience. 8+ years of professional experience in software architecture or a related engineering discipline (with a bachelor's degree), or 6+ years (with a master's degree). Experience leading technical design end to end across multiple projects, with a demonstrated ability to justify technology choices to both technical and non technical audiences. Experience working in decentralized, cross functional teams across at least two multi quarter projects. Formal experience mentoring at least three individuals. Proficiency in multiple technologies or programming languages, with deep expertise in at least one technical domain. Strong understanding of how complex systems interact, including integration and communication patterns across applications, databases, and technology platforms. Demonstrated ability to define and communicate technology standards and patterns across an organization. Preferred: Master's degree in computer science, engineering, or a related technical field; or equivalent professional experience. Active contributions to the broader engineering community, such as blog posts, open source contributions, tech talks, or conference presentations. Experience connecting technology decisions to lines of business outcomes and broader organizational goals. Familiarity with enterprise integration patterns and architectural governance frameworks. Accommodation requests Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at Equal Opportunity Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

AI Solution Architect Senior ManagerApplylocations: United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: JR111476 Be the one building AI-powered experiences where they matter most. At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships. Help build, support and operate technology used by more than 8,000 organizations in over 100 countries - moving AI from possibility to production in real-world enterprise environments every day. The Senior Manager, AI Solution Architecture leads a team of AI Architects responsible for designing, governing, and enabling innovative AI-powered customer experience solutions across the Genesys ecosystem. This role combines deep expertise in artificial intelligence, conversational AI, customer experience technologies, cloud architecture, and people leadership to drive the successful adoption of AI solutions that deliver measurable business outcomes.The ideal candidate is a strategic technology leader who can bridge business objectives, AI innovation, and technical execution while developing a high-performing team of architects. This role partners closely with Sales, Product Management, Engineering, Professional Services, Customer Success, and executive stakeholders to accelerate AI transformation initiatives for customers and the organization. Key Responsibilities Leadership & Team Development Lead, mentor, and develop a team of AI Solution Architects, fostering a culture of innovation, collaboration, and technical excellence. Establish performance goals, development plans, and career progression paths for team members. Drive the adoption of AI architecture standards, best practices, and governance frameworks. Support hiring, onboarding, and retention of top AI and cloud architecture talent. Promote continuous learning in emerging AI technologies, large language models (LLMs), generative AI, agentic AI, machine learning, and automation.AI Architecture Strategy Define and execute the AI architecture vision aligned with Genesys' AI strategy and customer experience transformation goals. Oversee the design and validation of complex AI solutions leveraging Genesys Cloud AI capabilities, conversational AI platforms, generative AI technologies, and third-party AI ecosystems. Establish architectural standards for AI solution scalability, security, observability, reliability, compliance, and responsible AI practices. Lead architectural reviews and provide guidance on AI deployment models, integration patterns, data architecture, and operationalization strategies. Serve as the escalation point for complex AI solution challenges and architectural decisions.Customer & Business Engagement Act as a trusted advisor to customers and executive stakeholders on AI transformation initiatives. Lead strategic AI discovery sessions, architecture workshops, executive briefings, and innovation engagements. Translate business objectives into AI-driven customer experience solutions that deliver measurable value. Support strategic sales opportunities through AI vision, solution design, technical leadership, and executive engagement. Help customers define AI adoption roadmaps, governance models, and business value frameworks.Cross-Functional Collaboration Partner with Product Management, Engineering, Data Science, Professional Services, Customer Success, and Sales organizations. Influence AI product direction by providing feedback from customer engagements and market trends. Collaborate with internal stakeholders to define reusable AI frameworks, accelerators, and reference architectures. Support go-to-market initiatives and thought leadership around AI-driven customer experience innovation.Operational Excellence Define and monitor KPIs related to AI architecture effectiveness, adoption, customer outcomes, and team performance. Ensure consistency and quality across AI solution designs and customer engagements. Drive operational processes for AI governance, risk management, model lifecycle management, and architecture reviews. Promote responsible AI practices, including transparency, security, privacy, compliance, and ethical AI principles. Required Qualifications Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or related field. 10+ years of experience in enterprise architecture, solution architecture, AI, cloud technologies, or customer experience platforms. 5+ years of leadership experience managing architects, engineers, or technical consulting teams. Strong understanding of AI and machine learning concepts, including: Generative AI Large Language Models (LLMs) Conversational AI Agentic AI Systems Retrieval-Augmented Generation (RAG) Prompt Engineering AI Governance and Responsible AI Experience designing enterprise-scale AI solutions and cloud-native architectures. Knowledge of Genesys Cloud AI capabilities, customer engagement technologies, and contact center transformation initiatives. Strong executive communication, stakeholder management, and presentation skills. Preferred Qualifications Experience with AI platforms such as OpenAI, Google Vertex AI, Amazon Bedrock, Microsoft Azure AI, Anthropic, or similar ecosystems. Familiarity with vector databases, knowledge management systems, AI orchestration frameworks, and MLOps practices. Experience with data architecture, analytics, and enterprise integration patterns. Cloud certifications (AWS, Azure, GCP) and AI-related certifications. Experience leading AI transformation initiatives in large enterprise environments. Leadership Competencies AI Innovation Leadership: Drives adoption of emerging AI technologies and identifies opportunities to create business value. Strategic Thinking: Aligns AI initiatives with business strategy, customer outcomes, and organizational objectives. Customer-Centric Mindset: Focuses on delivering measurable improvements in customer and employee experiences through AI. Technical Excellence: Demonstrates deep expertise in AI architectures, cloud platforms, and enterprise solution design. Talent Development: Builds and develops high-performing AI architecture teams. Influence & Collaboration: Effectively partners across technical, business, and executive stakeholders. Responsible AI Stewardship: Champions ethical, secure, transparent, and compliant AI solutions. Success Metrics AI revenue influence and strategic opportunity support. Customer adoption of AI solutions and measurable business outcomes. Quality, scalability, and governance of AI architectures. Team engagement, capability growth, and retention. Reusable AI assets, reference architectures, and best practices created. Executive stakeholder satisfaction and trusted advisor status. Contribution to Genesys' AI leadership and innovation objectives. Strategic Mission Lead the evolution of AI-powered customer experience architecture by enabling organizations to leverage conversational AI, generative AI, agentic automation, and intelligent orchestration to transform how customers and employees interact with brands, while ensuring scalability, governance, and business value at enterprise scale. Working at Genesys AI at enterprise scale - Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide. 150+ new AI features were released in the last fiscal year. A flexible-first culture - Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work. Growth in the AI era - Build future-ready skills through mentorship, learning programs, leadership development and education support. Time to recharge and give back - Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families. Recognized globally - Genesys is Great Place to Work certified in 17 countries and 94% of employees are proud to tell others they work at Genesys.Learn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report. What Happens After You Apply After you apply, here's what you can typically expect: Our Talent Acquisition team reviews your application with the hiring team. A Talent Acquisition Partner will review your application and, if your background is aligned, schedule a Zoom interview. Next, you'll meet the hiring manager and other members of the interview team. We aim to keep the process focused and respectful of your time, with no more than five interviews in most cases. After interviews are complete, our team will follow up with the final steps.Every application is reviewed by a person. Response times may vary by role and location, but our team will keep you informed throughout the process. Stay Connected Stay connected to learn more about how we're applying AI to customer and employee experience challenges and get notified when relevant opportunities become available.Get notified about relevant opportunities. # Be the one building what's next - where AI, experience and impact come together. Employee Referral If a Genesys employee referred you, please apply using the link they shared so we can connect your application to their referral. About Genesys: Genesys empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys CloudTM is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces . click apply for full job details

About the Role: Grade Level (for internal use): 15 The Team: The Enterprise Solutions Technology division includes workflow solutions across Lending, Reg & Compliance, Global Markets and Software business. Enterprise Solutions provides industry leading set of integrated tools, solutions and data services that help our clients make efficient investment decisions, operate with greater efficiency, and provide transparency across their business and to their key stakeholders. Responsibilities and Impact: We are seeking a senior technology leader to partner closely with the Head of Technology for Enterprise Solutions in shaping the technology direction of a complex, regulated financial services estate. This is a hands on principal engineer and architect role, not a pure governance or advisory architecture function. The role exists to ensure technology strategy is grounded in engineering reality, deep domain understanding, and operational outcomes. You will work directly with the Head of Technology to shape and refine strategy, stress testing ideas against engineering, regulatory, and operational constraints. You will engage closely with senior engineering leaders, platform teams, and product partners to turn strategy into real designs that can be built and run. You will get involved early in complex or high risk initiatives and step in when it matters most, including during major incidents and recovery efforts. A key part of the role is knowing when to push forward, when to simplify, and when to slow down or stop. You will act as the engineering authority across Enterprise Solutions, leading primarily through influence rather than line management and the role carries broad responsibility for shaping architecture, design, and delivery decisions across multiple teams and domains. You will balance long term strategy with near term delivery constraints, operational resilience, and regulatory expectations, and represent the technology direction with clients and senior stakeholders, explaining design choices and trade offs clearly and credibly. Overall, this role strengthens the technology function by making strategy buildable, operable, and defensible. What We're Looking For: 25+ years of experience building and operating systems in tier 1 banks, capital markets infrastructure, or similarly regulated, high availability environments. Has owned or deeply influenced production systems under real load, is comfortable reading and writing code, and works effectively alongside senior engineers. Experienced in setting technology strategy and architecture for complex, regulated, data driven platforms, with strong experience in banking and financial services (public and private markets, syndicated lending, securities processing, counterparty and client lifecycle, regulatory reporting, or similar domains). Experienced in defining and owning multi year technology strategies and roadmaps, setting clear priorities and sequencing change based on business outcomes, regulatory needs, and engineering reality. Sets and governs reference architectures, design standards, and architectural guardrails, ensuring teams build in a consistent, scalable, and sustainable way. Strong understanding of how financial products, operational workflows, data, and controls work end to end, and uses that understanding to make sound system and platform design decisions. Has demonstrated strong judgment designing distributed, event driven, and data intensive systems, including how they scale, fail, recover, and isolate risk. Experienced with cloud platforms (AWS, Azure, GCP) and the trade offs around managed services, multi region and multi tenant designs, data residency, cost, performance, and resilience. Knowledge of advanced and new architectures and design paradigms (e.g. agent based systems, service abstractions, semantic data models, knowledge graphs, and where to apply or not). Experienced in ensuring AI enabled systems are explainable, auditable, and operationally safe, with clear judgment on when AI is appropriate versus deterministic or rules based approaches. Strong understanding of analytics and AI in production (e.g. data quality, anomaly detection, fraud/AML, workflow automation) and understands what it takes to run these reliably in regulated environments. Designs with security and controls built in, with a strong understanding of identity, data protection, failure containment, and regulatory risk. Acts as a coach and multiplier for senior engineers and architects, raising the bar through hands on problem solving, design reviews, and practical guidance rather than formal line management. Pragmatic, direct, and outcome focused. Leads through earned credibility and influence, is comfortable shaping decisions without authority, and communicates complex technical topics clearly to business, client, and regulatory audiences. Measures success by outcomes and evidence, not intent or presentation: technology strategy that translates into systems that work in production, reduce late stage surprises and repeat incidents, scale and recover as designed, and stand up to real operational and regulatory scrutiny. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to and your request will be forwarded to the appropriate person. US Candidates Only: Know Your Rights: Workplace discrimination is illegal.

DOCOsoft, a leading software and services provider to Lloyd's of London and the wider London insurance market, is seeking an exceptional Head of Product, a visionary leader who can define strategy, shape culture, and deliver products that customers love. As a key member of our Leadership Team, you will own the strategic direction, commercial success, and organisational impact of our evolving product portfolio, guiding our transition to a modern, product led business and driving the next stage of DOCOsoft's growth. This is a pivotal, high impact role where you'll own our product strategy end to end from shaping the vision to defining the roadmap and ensuring world class execution. You'll drive our shift from project delivery to product led growth, balancing our established on premise offerings with new SaaS products that will define DOCOsoft's future. You'll sit on the leadership team, influence company wide priorities, and lead a growing product organisation that partners deeply with Engineering, Operations, Sales, and Customer Success. Responsibilities Set the Vision Define and communicate a compelling product vision and strategy aligned to DOCOsoft's growth goals and customer needs. Translate Business Objectives Translate business objectives into a measurable multi year roadmap and balanced product portfolio. Lead Our Evolution Lead our evolution from on premise to SaaS, ensuring each investment drives long term value and scalability. Lead the Team Build, mentor, and inspire a high performing Product Management team. Foster a culture of accountability, curiosity, and customer empathy. Embed best practice product discovery, prioritisation, and agile execution. Deliver Outstanding Products Oversee the end to end product lifecycle, from insight and ideation to delivery and launch. Drive data informed decision making using clear product KPIs (adoption, retention, performance). Partner closely with Engineering, Design, and Customer Success to deliver value quickly and consistently. Champion the Customer and Market Maintain a deep understanding of the London Market, its trends, challenges, and competitive dynamics. Engage directly with clients, brokers, and market bodies to validate direction and identify emerging opportunities. Ensure every product decision is grounded in customer insight and measurable impact. Drive Commercial Impact Lead business case development and investment decisions for product initiatives. Balance innovation and commercial return across the portfolio. Work closely with Marketing and Sales to drive adoption and product led growth. Influence and Align Represent the product function on the Leadership Team, shaping company strategy and influencing investment decisions. Partner across departments to align product priorities with financial and operational goals. Communicate strategy, progress, and outcomes clearly to the Executive Team and Board. Requirements 8+ years of senior product leadership experience, ideally in SaaS or complex B2B enterprise software. Proven success defining and executing strategy that drives commercial growth and market differentiation. Strong financial acumen, with experience managing budgets, P&L impact, and portfolio trade offs. Deep understanding of the London insurance market (or adjacent regulated sectors). Expertise in product transformation from project delivery to continuous product innovation. Excellent communication and stakeholder management skills at board and executive level. Hands on experience with agile delivery, product governance, and data driven decision making. Familiarity with tools such as Jira, Azure DevOps, and modern product analytics platforms. Experience leading transformation from on premise to SaaS product models is highly desirable. Success in this Role Clear strategic direction that inspires the team and customers alike. Products that drive measurable customer and commercial success. A culture where insight, collaboration, and accountability fuel continuous innovation. Why Join DOCOsoft Lead a mission critical function shaping the digital future of the London Market and beyond. Be part of a respected, growing company with deep industry roots and modern ambitions. Collaborate with talented teams who value innovation, integrity, and customer success. Competitive compensation, hybrid flexibility, and a clear path to long term impact. Benefits The opportunity to impact our growing business, everyone's contribution matters. A team environment focused on the creation and delivery of great products for our clients. Exciting challenges to grow and enhance skills. A competitive pay and benefits package (private pension, bonus scheme, private health, life assurance, flexible working, 25 days annual leave). Equal Opportunity Employer DOCOsoft is committed to building an inclusive and diverse team that represents a variety of backgrounds, experiences and perspectives. We welcome applications from all suitably qualified candidates, and do not discriminate on the grounds of race, religion, gender, marital or family status, age, disability, sexual orientation, membership of the travelling community or any other basis as protected by applicable law. Should you require reasonable accommodations during any stage of the recruitment process, please let us know.

Overview Job Overview: This position is with our Google Cloud Platform Business Unit- GCP BU. As an Client Partner - Insurance SME at Quantiphi, you will be responsible for driving growth and expanding our footprint within key accounts in the insurance industry. This role requires a deep understanding of the insurance sector, its evolving digital landscape, and the ability to deliver AI, data, cloud, and digital transformation solutions that create measurable business impact. You'll work in an entrepreneurial environment, engaging with senior leadership and key stakeholders to drive revenue growth and build long-term strategic partnerships. Responsibilities Develop and execute a strategic growth plan for key accounts in the insurance industry, ensuring alignment with client business objectives. Identify and pursue new business opportunities by positioning Quantiphi's capabilities in AI, machine learning, data analytics, and cloud solutions tailored for insurance organizations. Drive account expansion by identifying cross-sell and upsell opportunities across business lines (e.g., life, health, property & casualty). Establish and maintain strong C-level and senior executive relationships across business, technology, and procurement functions. Collaborate with internal Technology, Go-To-Market, and Solution teams to develop industry-specific offerings that address critical insurance challenges such as claims optimization, fraud detection, customer experience, and underwriting automation. Own the full sales cycle - from lead generation to contract negotiation - ensuring seamless execution of MSAs, SoWs, and commercial agreements. Act as a trusted advisor, introducing innovative AI-driven solutions that enhance operational efficiency, risk management, and customer engagement. Partner successfully with Quantiphi's delivery teams to ensure high-quality project execution and customer satisfaction. Basic Qualifications 10+ years of professional experience in selling consulting services and technology solutions to large enterprises. 5+ years of deep expertise in the insurance industry, with experience working with leading insurance enterprises or technology solutions consulting firms. 5+ years of demonstrated success in scoping, designing, selling, and managing AI, data analytics, and/or cloud solutions (GCP, AWS, Azure, or Oracle) specifically within the insurance or financial services space (FSI). Strong background in enterprise sales, account management, and business development. Experience managing contractual lifecycles, including negotiating MSAs, SoWs, and pricing models. Exceptional executive-level engagement skills with the ability to build and maintain trusted relationships. Strong entrepreneurial mindset with the ability to manage an account end-to-end, including sales, delivery oversight, and team coordination. Bachelor's degree in Business, Engineering, Computer Science, or related field (or equivalent work experience). MBA is preferred. Willingness to travel to customer sites, conferences, and other related events - up to 50%. Other Qualifications Strong Insurance sector understanding including Claims Processing, Underwriting, Fraud Detection, Customer Service, Risk Management, Personalization and Data Analysis. Background in data science or machine learning engineering. Awareness of AI governance, ethics, and data privacy regulations, as it relates to the insurance industry. What is in it for you Be part of one of the fastest-growing AI-first digital transformation and engineering companies in the world. Be a leader of an energetic team of highly dynamic and talented individuals. Experience collaborating with Fortune 500 business stakeholders and cutting-edge market disruptors. Work with the latest technologies in AI, ML, data analytics and cloud computing. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us.

Senior Solutions Architect - Email & Collaboration Security - London UK Why This Role ExistsThe Email & Collaboration Security (ECS) product line sits at the intersection of some of the most consequential challenges in enterprise security today: AI augmented threats, sprawling collaboration surfaces, multi cloud delivery complexity, and the expectation that detection and response capabilities keep pace with a threat landscape that does not wait. This architecture is not greenfield. It carries two decades of accumulated product decisions, integration contracts, and operational constraints. The right candidate understands why that history matters before proposing how to move beyond it. Reasoning about legacy shape and evolutionary trajectory simultaneously is not optional; it is the job. The successful candidate will serve as connective tissue across product management, engineering, and the broader Architecture Leadership Team - turning customer and business problems into coherent, deliverable technical direction, and owning the decisions that give ECS engineering teams a stable foundation to move fast with quality. AI First Ways of Working Mimecast is an AI first engineering organisation and this is an operating expectation. The person in this role is expected to use AI tools as a genuine, daily part of how they work: for design exploration and iteration, documentation, analysis, prototyping, and research synthesis. This means having a real, practised opinion on where AI tooling accelerates quality decisions and where it introduces risk. It also means designing systems that incorporate AI components thoughtfully: understanding the implications of LLM integration, agent boundaries, prompt and data contract stability, and evaluation coverage for AI driven features. Candidates who treat AI tooling as optional or experimental are not the right fit for this role. The expectation is fluency and daily practice, not passing familiarity. ECS Domain Email threat detection and prevention Email security efficacy Collaboration security DMARC analyzer Data platform and observability Analysis and Response End user application integration Internal operations enablement What You Will Do Lead from Problem Space, Not Solution SpaceThe role engages at the problem framing stage, not after requirements have already hardened into tickets. This means facilitating workshops with PMs, UX, and engineers to surface real customer constraints and articulate what good looks like in business and user terms before any technical shape is proposed. Own Integration Contracts as Product ArtefactsThe durable interfaces - APIs, event contracts, data schemas - that connect ECS capabilities to the broader Mimecast platform are first class artefacts owned by this role. They outlast individual features, and the coordination work that makes integrations actually land across teams and time is part of the remit. Build the Architectural ContextEngineering Teams Operate Inside ADRs, service interaction patterns, NFR targets, and data contracts are not documentation - they are the substrate that lets engineering teams and AI assisted development workflows make consistent decisions at scale. The artefacts produced in this role are clear, reasoned, and durable. Govern Without BlockingGovernance is a mechanism for alignment and acceleration, not gatekeeping. Structure and discipline are introduced where they reduce risk or improve quality - and removed where ceremony adds cost without value. The role engages the Chief Architect early, pushes back constructively when platform standards do not fit the ECS context, and helps teams close decisions with conviction rather than endless review. Reason About Cost and Unit EconomicsInfrastructure choices are sized, cost trajectories modelled for new architecture work, and unexpected spend is flagged with a proposed remediation. The frame is cost per outcome - per protected mailbox, per remediated incident - not just monthly AWS spend. Communicate at Every AltitudeA one page decision record that lands with engineers, a solution brief that holds up under senior architecture review, a strategy narrative that resonates with product and commercial leadership - this role operates across all of those registers. Whiteboard sessions produce actual decisions, not just richer ambiguity. What You Will Bring 10+ years building and operating production SaaS systems, with at least 3 years in a Solutions Architect, Principal Engineer, or equivalent role carrying product shaping responsibility A genuinely broad architectural lens - thinking about system shape, data flows, and organisational constraints rather than reaching for the nearest deep technical rabbit hole Comfort operating across cloud native patterns (AWS, Kafka, managed services, distributed event architectures) at high throughput - able to reason about trade offs with confidence, without needing to be the most technically specialist person in the room Product Understanding - Not Just Technical Understanding Prior close collaboration with Product Managers and UX designers, with an understanding of jobs to be done framing and a real opinion on what makes a product bet good - not just a technical bet Genuine customer orientation: asking what problem the customer has before asking how to build the feature Understanding of SaaS unit economics, the commercial implications of architectural choices, and how to reason about scale from a product perspective as well as a systems one An understanding of what twenty years of software history means in a production system - no assumption of greenfield, and no treatment of legacy as only debt; it is accumulated context Structure and discipline as cognitive defaults, not imposed processes - thorough, well reasoned artefacts, and a habit of leaving things clearer than they were found An ability to connect dots across a large picture with many moving parts, make a call, and communicate it clearly - rather than waiting for certainty that will not arrive Self Direction and Strategic Initiative A proactive self starter who identifies the right problems to work on without being told, and drives them to resolution Comfortable acting independently within a set of principles, while keeping the right stakeholders informed and in sync - not seeking permission, but maintaining alignment Thrives with ambiguity and treats it as a problem to be structured, not a reason to pause Learning Orientation - Not Encyclopaedic Knowledge Able to reach a solution even without all the knowledge in front of them - a problem solver who knows how to navigate to an answer, not a mnemonic database AI tooling treated as a core capability multiplier, with a real daily practice in design work, documentation, research synthesis, and prototyping Stays ahead of where the market and the technology are going, and brings that signal back into product and architecture decisions Bonus Points Background in email security, threat detection, DLP, identity, or data platforms Familiarity with agentic AI, MCP (Model Context Protocol), or LLM application architecture Experience with eval design for AI features, product discovery practices, or data contract / data mesh approaches Exposure to M365 or GWS integration patterns, SMTP relay architecture, or cloud native security SaaS What We Offer Impact: architecture decisions that protect millions of mailboxes and shape the technical direction of one of Mimecast's core product pillars Voice: a direct working relationship with the Chief Architect and a genuine say in technology direction - not an advisory lane Senior peers: a small, high trust Architecture Leadership Team where everyone operates at a high level Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field - or equivalent demonstrable experience 10+ years of professional software engineering and architecture experience, with at least 3 years in a senior architecture or principal engineering role A track record of product shaping responsibility, not just technical delivery Active, daily use of AI development tools in a professional setting - not experimentation, practice Equal Opportunity Employer Mimecast is an equal opportunity employer committed to an inclusive and diverse workplace. We consider everyone equally: your race, age, religion, sexual orientation, gender identity, ability, marital status, nationality, or any other protected characteristic won't affect your application. The base salary range for this position is £124,000 - £186,000 base + benefits. This reflects the minimum and maximum target for new hire salaries for this position. This position may also be eligible for incentive plans and other related benefits. Our salary ranges are determined by role, level, and location. These factors and individual capabilities will also determine the individual pay offered.

Senior Architect - Email & Collaboration SecurityApplylocations: Great Britain - Londontime type: Full timeposted on: Posted Todayjob requisition id: R6496 Senior Solutions Architect - Email & Collaboration Security - London UK Why This Role Exists The Email & Collaboration Security (ECS) product line sits at the intersection of some of the most consequential challenges in enterprise security today: AI-augmented threats, sprawling collaboration surfaces, multi-cloud delivery complexity, and the expectation that detection and response capabilities keep pace with a threat landscape that does not wait.This architecture is not greenfield. It carries two decades of accumulated product decisions, integration contracts, and operational constraints. The right candidate understands why that history matters before proposing how to move beyond it. Reasoning about legacy shape and evolutionary trajectory simultaneously is not optional; it is the job.The successful candidate will serve as connective tissue across product management, engineering, and the broader Architecture Leadership Team - turning customer and business problems into coherent, deliverable technical direction, and owning the decisions that give ECS engineering teams a stable foundation to move fast with quality. AI-First Ways of Working Mimecast is an AI-first engineering organisation. This is not a cultural aspiration - it is an operating expectation. The person in this role is expected to use AI tools as a genuine, daily part of how they work: for design exploration and iteration, documentation, analysis, prototyping, and research synthesis.This means having a real, practised opinion on where AI tooling accelerates quality decisions and where it introduces risk. It also means designing systems that incorporate AI components thoughtfully: understanding the implications of LLM integration, agent boundaries, prompt and data-contract stability, and evaluation coverage for AI-driven features.Candidates who treat AI tooling as optional or experimental are not the right fit for this role. The expectation is fluency and daily practice, not passing familiarity. The ECS Domain ECS covers the following product and capability areas: Email threat detection and prevention Email security efficacy Collaboration security DMARC analyzer Data platform and observability Analysis and Response End user application integration Internal operations enablement What You Will Do Lead from Problem Space, Not Solution Space The role engages at the problem-framing stage, not after requirements have already hardened into tickets. This means facilitating workshops with PMs, UX, and engineers to surface real customer constraints and articulate what good looks like in business and user terms before any technical shape is proposed. Own Integration Contracts as Product Artefacts The durable interfaces - APIs, event contracts, data schemas - that connect ECS capabilities to the broader Mimecast platform are first-class artefacts owned by this role. They outlast individual features, and the coordination work that makes integrations actually land across teams and time is part of the remit. Build the Architectural Context Engineering Teams Operate Inside ADRs, service interaction patterns, NFR targets, and data contracts are not documentation - they are the substrate that lets engineering teams and AI-assisted development workflows make consistent decisions at scale. The artefacts produced in this role are clear, reasoned, and durable. Govern Without Blocking Governance is a mechanism for alignment and acceleration, not gatekeeping. Structure and discipline are introduced where they reduce risk or improve quality - and removed where ceremony adds cost without value. The role engages the Chief Architect early, pushes back constructively when platform standards do not fit the ECS context, and helps teams close decisions with conviction rather than endless review. Reason About Cost and Unit Economics Infrastructure choices are sized, cost trajectories modelled for new architecture work, and unexpected spend is flagged with a proposed remediation. The frame is cost per outcome - per protected mailbox, per remediated incident - not just monthly AWS spend. Communicate at Every Altitude A one-page decision record that lands with engineers, a solution brief that holds up under senior architecture review, a strategy narrative that resonates with product and commercial leadership - this role operates across all of those registers. Whiteboard sessions produce actual decisions, not just richer ambiguity. What You Will Bring Breadth Over Depth - and Knowing the Difference 10+ years building and operating production SaaS systems, with at least 3 years in a Solutions Architect, Principal Engineer, or equivalent role carrying product-shaping responsibility A genuinely broad architectural lens - thinking about system shape, data flows, and organisational constraints rather than reaching for the nearest deep technical rabbit hole Comfort operating across cloud-native patterns (AWS, Kafka, managed services, distributed event architectures) at high throughput - able to reason about trade-offs with confidence, without needing to be the most technically specialist person in the room Product Understanding - Not Just Technical Understanding Prior close collaboration with Product Managers and UX designers, with an understanding of jobs-to-be-done framing and a real opinion on what makes a product bet good - not just a technical bet Genuine customer orientation: asking what problem the customer has before asking how to build the feature Understanding of SaaS unit economics, the commercial implications of architectural choices, and how to reason about scale from a product perspective as well as a systems one The Right Mindset for Complex, Inherited Systems An understanding of what twenty years of software history means in a production system - no assumption of greenfield, and no treatment of legacy as only debt; it is accumulated context Structure and discipline as cognitive defaults, not imposed processes - thorough, well-reasoned artefacts, and a habit of leaving things clearer than they were found An ability to connect dots across a large picture with many moving parts, make a call, and communicate it clearly - rather than waiting for certainty that will not arrive Self-Direction and Strategic Initiative A proactive self-starter who identifies the right problems to work on without being told, and drives them to resolution Comfortable acting independently within a set of principles, while keeping the right stakeholders informed and in sync - not seeking permission, but maintaining alignment Thrives with ambiguity and treats it as a problem to be structured, not a reason to pause Learning Orientation - Not Encyclopaedic Knowledge Able to reach a solution even without all the knowledge in front of them - a problem-solver who knows how to navigate to an answer, not a mnemonic database AI tooling treated as a core capability multiplier, with a real daily practice in design work, documentation, research synthesis, and prototyping Stays ahead of where the market and the technology are going, and brings that signal back into product and architecture decisions Bonus Points Background in email security, threat detection, DLP, identity, or data platforms Familiarity with agentic AI, MCP (Model Context Protocol), or LLM application architecture Experience with eval design for AI features, product discovery practices, or data contract / data mesh approaches Exposure to M365 or GWS integration patterns, SMTP relay architecture, or cloud-native security SaaS What We Offer Impact : architecture decisions that protect millions of mailboxes and shape the technical direction of one of Mimecast's core product pillars Voice : a direct working relationship with the Chief Architect and a genuine say in technology direction - not an advisory lane Senior peers : a small, high-trust Architecture Leadership Team where everyone operates at a high level Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field - or equivalent demonstrable experience 10+ years of professional software engineering and architecture experience, with at least 3 years in a senior architecture or principal engineering role A track record of product-shaping responsibility, not just technical delivery Active, daily use of AI development tools in a professional setting - not experimentation, practice Mimecast is an equal opportunity employer committed to an inclusive and diverse workplace. The base salary range for this position is £124,000 - £186,000 base + benefits. This reflects the minimum and maximum target for new hire salaries for this position. This position may also be eligible for incentive plans and other related benefits. Our salary ranges are determined by role, level, and location. These factors and individual capabilities will also determine the individual pay offered.

Responsibilities Perform exploratory data analysis on a range of complex business problems. Interpret business processes into data requirements. Define and enforce key data attribute governance strategies. Act as geographical data leader, reporting directly to the Data Architecture Manager. Collaborate on data team initiatives impacting Ontic's global strategic pillars. Administer and maintain the Snowflake Data Warehouse. Devise and maintain data engineering development standards in line with best practice. Contribute to data pipelines that clean, transform and aggregate data from disparate data sources into reporting data stores. Provide input on the company data strategy by suggesting and proving new technologies and innovations. Contribute to the translation of data into valuable insights that inform data driven decisions. Develop dashboards and reports to present data insights to stakeholders around the business. Support end-user technical questions and assist in data education. Host on-site data quality clinics. Participate in and audit data governance activities. Requirements Proven experience of administering and working in a Data Warehouse (experience of Snowflake highly preferred) Ability to influence a team of technical and non-technical stakeholders Experience building data models and flows from various sources using Kimball Dimensional Modelling techniques. Proven knowledge of data warehousing and data modelling principles. Experience of DBT Strong SQL programming experience in a commercial setting. Experience of using BI reporting tools (i.e. Power BI) with an ability to develop reports and dashboards. Awareness and familiarity with AI tool and technologies - preference for tools such as OpenAI Codex, Snowflake Cortex, Snowflake Intelligence Experience of administering, creating, and maintaining data pipelines in an ELT application that cleans, transforms, and aggregates data from disparate data sources into reporting data stores. Experience documenting ELT specifications such as source to target mappings, business rules and data validation requirements, ETL functional and non-functional requirements. Strong analytical and problem-solving skills with a keen attention to detail. Excellent oral and written communication skills for translating data insights into concise executive summaries and presentations. Ability to present findings in a structured, clear manner with actionable insights. Possess ability to both multi-task and manage priorities effectively with the ability to work proactively and independently in meeting stakeholder needs whilst adhering to tight deadlines. Appreciation of data security, CCPA, GDPR and PII data handling principles. A willingness to be utilised as a developer across other enterprise applications. Experience of working in the Aerospace, Engineering, Manufacturing sectors Experience with below toolset preferred: Snowflake cloud platform, Dbt, FiveTran, Precog, Microsoft Fabric/Power BI Analytics, GitHub, SDLC, Kimball Dimensional Modelling, Dynamics 365 Backend, Infor Syteline and/or Infor Visual ERP Backend, SQL

Overview AtkinsRéalis is a world leading design, engineering and project management organisation. We connect people, data and technology to transform infrastructure and energy systems across the globe. Our purpose is simple: to engineer a better future for our planet and its people, creating sustainable solutions that shape the world around us. Our teams deliver some of the most complex and transformative programmes worldwide. By combining multidisciplinary expertise, global best practice and deep sector knowledge, we help clients achieve ambitious outcomes. Our success is powered by talented people whose diverse thinking and creativity drive innovation every day. Due to the growth of our Project Controls pipeline, we are seeking a Planner to join our Programme Services, Advisory & Controls (P SAC) Practice as a Planner to work on large programmes of work. The role will require delivering planning, scheduling, and progress management service across a large complex programme, ensuring fully integrated, risk informed, quality assured schedules that support decision making, Earned Value Management, and programme governance. Your role You will have capability to develop, maintain, and govern complex, multi project schedules within an enterprise environment, to include: Building and managing programmes, projects, and contractor schedules within Primavera P6 EPPM to consistent standards. Structure schedules in accordance with approved Work Breakdown Structures, coding conventions, and Project Controls Management Plans. Integrate Sub Project schedules into a coherent Integrated Master Schedule (IMS) with cross project dependencies. Maintain fully resourced and cost loaded schedules enabling accurate forecasting and performance analysis. Establish and maintain formally approved schedule baselines for Sub Projects and the Programme. Maintain a full schedule baseline register with version control and traceability. Ensure all approvals, justifications, and impact analyses are recorded. Manage Programme, Interface, and Critical Path Milestone Registers. Ensure all milestones are kept up to date in P6 and the Document Management System. Provide weekly analysis of milestone performance, variance drivers, and recovery actions. Ensure clear visibility of strategic decision points and external dependencies. Ensure schedules are resource and cost loaded. Generate and interpret EVM metrics including PV, EV, AC, CPI, SPI. Identify performance trends and variance drivers for monthly reporting. Use dashboard (e.g., Power BI) to provide clear, visual insights for stakeholders. About you You will be a confident communicator and have the ability to clearly explain complex schedule information to an array of stakeholders across functions and contractors. You will be able to: Provide clear narrative reporting on variances, trends, and schedule risks. Work collaboratively with Document Control, Cost, Risk, Engineering, and Delivery teams. Support decision making by presenting options, impacts, and recommendations. Escalate issues early with clear analysis and recovery proposals. Rewards & benefits Explore the rewards and benefits that help you thrive - at every stage of your life and your career. Enjoy competitive salaries, employee rewards and a brilliant range of benefits you can tailor to suit your own health, wellbeing, financial and lifestyle choices. Make the most of a myriad of opportunities for training and professional development to grow your skills and expertise. And combine our hybrid working culture and flexible holiday allowances to balance a great job and fulfilling personal life. Additional information Security clearance This role may require security clearance and offers of employment will be dependent on obtaining the relevant level of clearance. If this is necessary, it will be discussed with you at interview. The vetting process is delivered by United Kingdom Security Vetting (UKSV) and may require candidates to provide proof of residency in the UK of 5 years or longer. If applying to this role please do not make reference to (in conversation) or include in your application or CV, details of any current or previously held security clearance. We are committed to creating a culture where everyone feels that they belong - a place where we can all be ourselves, thrive and develop to be the best we can be. So, we offer a range of family friendly, inclusive employment policies, flexible working arrangements and employee resource groups to support all employees. As an Equal Opportunities Employer, we value applications from all backgrounds, cultures and ability. As a Disability Confident Leader, we are committed to offering an interview to all applicants who have a disability and meet the essential criteria. If you would like to be considered under this commitment, please let us know at the application stage.

Black Duck Software, Inc. helps organizations build secure, high-quality software, minimizing risks while maximizing speed and productivity. Black Duck, a recognized pioneer in application security, provides SAST, SCA, and DAST solutions that enable teams to quickly find and fix vulnerabilities and defects in proprietary code, open source components, and application behavior. With a combination of industry-leading tools, services, and expertise, only Black Duck helps organizations maximize security and quality in DevSecOps and throughout the software development life cycle. The Threat Intelligence Engineer supports the research, collection, and analysis of threat data that enables Black Duck to detect and respond to threats targeting the enterprise and its software supply chain. Working within the Threat Intelligence function under moderate supervision, you apply foundational knowledge of adversary tradecraft to assist in producing intelligence products, maintaining indicator pipelines, and contributing threat context to security workflows across the organization. This role solves moderately complex problems within defined guidelines and policies, collaborates with senior engineers on intelligence operations, and supports broader cybersecurity and security operations functions as capacity allows. Essential Functions/Responsibilities Assist with collection, processing, and analysis tasks across the intelligence requirements-to-dissemination workflow. Help maintain the intelligence requirements register under guidance from senior team members. Draft threat actor profiles, campaign summaries, and indicator packages for technical audiences; refine products based on senior engineer feedback. Ingest, validate, and score indicators of compromise (IOCs) from commercial feeds (e.g., Recorded Future), open-source, and internal sources. Support integration of IOC pipelines with SIEM and EDR platforms, including Sumo Logic and CrowdStrike Falcon/NG SIEM. Apply confidence scoring and structured formats (e.g., STIX 2.1) to intelligence artifacts; elevate data quality issues to senior team members. Monitor open-source package registries (npm, PyPI, Go, Maven, and others) and CI/CD pipeline integrity signals for indicators of adversarial activity including typosquatting, dependency confusion, and build-pipeline compromise. Contribute to the internal supply chain threat detection program by assisting with data collection, documentation, and detection logic testing. Assist broader cybersecurity and security operations functions - including CSIRT, Vulnerability Management, and PSIRT - with alert triage, threat research, and DLP investigation enrichment, as capacity allows. Support security investigations by researching threat actor behaviors, identifying relevant IOCs, and providing contextual summaries. Prepare threat intelligence summaries and briefing materials for internal consumers including CSIRT and Vulnerability Management. Identify opportunities for workflow improvements within own area and recommend changes to senior team members. Learn and follow applicable standards for intelligence data handling, sharing agreements, and governance; contribute to supporting documentation as directed. Other tasks and activities as assigned. Required Education/Experience & Skills Typically at least two (2) years of experience in threat intelligence, security operations, threat hunting, or a closely related cybersecurity role; demonstrated ability to solve moderately complex problems within established guidelines. Working familiarity with the intelligence production lifecycle, threat actor profiling concepts, and structured formats (e.g., STIX 2.1); ability to apply MITRE ATT&CK for basic TTP mapping. Practical experience working within enterprise SIEM or EDR environments; ability to run queries, review alerts, and support detection validation (current platforms include Sumo Logic and CrowdStrike Falcon/NG SIEM). Conceptual understanding of adversarial techniques targeting open-source ecosystems - including typosquatting, dependency confusion, registry abuse, and build-pipeline compromise - and the ability to identify relevant indicators. Strong written and verbal English communication skills; able to explain moderately complex threat information clearly to peers and adjacent teams; comfortable escalating appropriately under moderate supervision. Bachelor's degree in computer science, information security, or a related field preferred; entry-level security certified Black Duck is an equal opportunity employer. We consider all applicants for employment without regard to race, color, national origin, religion, sex, gender identity or expression, age, disability, sexual orientation, veteran or military service status, or any other characteristic protected by applicable law. Black Duck complies with all applicable laws prohibiting employment discrimination in every jurisdiction where it operates and provides reasonable accommodations to individuals with disabilities in accordance with applicable law.