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Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! As a Compliance Engineer at Figma, you will play a critical role in designing, implementing, and testing security controls across multiple compliance frameworks, including FedRAMP, SOC 2, ISO 27001, and NIST. You will collaborate closely with security, infrastructure, and product engineering teams to translate regulatory requirements into effective technical controls, evaluate control effectiveness, and identify opportunities to improve security and compliance processes. You will also help advance Figma’s compliance engineering capabilities by leveraging automation, machine-readable control definitions (JSON), APIs, and AI-assisted development tools to streamline control testing, evidence collection, and continuous monitoring. This role combines deep security compliance expertise with technical problem-solving to build scalable, repeatable, and effective compliance practices. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Develop and verify technical security controls that satisfy multiple compliance frameworks Collaborate with security, infrastructure, and product engineering teams to translate compliance requirements into effective technical controls Design and execute control testing procedures to assess control performance, surface gaps, and verify that remediation is complete Establish repeatable control assessments and continuous monitoring processes to evaluate compliance effectiveness Translate security requirements into structured, machine-readable JSON definitions to support control management, testing, and automation Build and maintain API integrations and automated workflows to streamline evidence collection, control validation, and compliance processes Identify opportunities to improve control effectiveness, reduce manual effort, and scale compliance operations across multiple frameworks We’d love to hear from you if you have: 5+ years of hands-on experience in security compliance, security assurance, IT audit, or compliance engineering Experience with security compliance frameworks, including FedRAMP, SOC 2, ISO 27001, and NIST 800-53, designing, implementing, and testing technical security controls in SaaS or cloud environments Experience testing security controls for design and operating performance, including surfacing gaps and confirming fixes Understanding of cloud security concepts, including identity and access management, vulnerability management, logging, and security configurations Experience working with engineering teams to implement compliance requirements as technical solutions Experience with JSON, REST APIs, and automation, applied to compliance engineering challenges While it’s not required, it’s an added plus if you also have: Experience developing JSON-based control definitions, JSON Schema, or machine-readable compliance documentation, and REST API integrations and custom automation workflows Familiarity with Open Security Controls Assessment Language (OSCAL) Proficiency in Python or similar scripting languages for compliance automation, including experience with compliance automation platforms and automated evidence collection Experience using Git, version control, and collaborative development workflows Hands-on experience with cloud security technologies, particularly AWS At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $169,000 — $296,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: Ireland, Dublin Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Engineering Manager – Enterprise Data Engineering We are looking for an experienced Engineering Manager to lead a team of Enterprise Data Engineers delivering trusted, scalable and reusable data capabilities across Sony Interactive Entertainment (SIE). The role combines people leadership, technical direction, delivery ownership and operational accountability for enterprise data products, pipelines and integrations. Working with global engineering, architecture, platform, security and business teams, you will enable enterprise priorities spanning Finance, Supply Chain, IT Operations, People & Places and Sales & Operations. You will balance transformation delivery with the reliability, maintainability and continuous improvement of existing data services. Responsibilities Lead, coach and grow the engineering team · Manage performance, development, recruitment and succession; create clear goals, regular feedback and meaningful career plans. · Build a culture of ownership, inclusion, engineering discipline, collaboration and continuous learning. · Provide hands-on technical guidance when needed while delegating decisions and developing senior engineering capability. Own delivery, capacity and execution · Translate enterprise roadmaps into executable plans, milestones, dependencies and measurable outcomes; balance project commitments with run-the-business obligations. · Proactively forecast capacity and skills needs, allocate resources, manage competing priorities and identify delivery trade-offs. · Maintain clear visibility of progress, blockers and risks; escalate early with options and recommendations, and communicate confidently to leadership and stakeholders. · Drive predictable delivery through appropriate agile practices, estimation, design reviews, testing, release management and continuous improvement. Provide technical leadership for enterprise data engineering · Guide architecture and implementation of secure, scalable batch and streaming ingestion, ETL/ELT pipelines, transformations and enterprise integrations. · Champion maintainable engineering patterns across Snowflake, Databricks, Python/PySpark, SQL, dbt and relevant orchestration and integration technologies. · Ensure data models and domain-owned data products are reusable, discoverable, documented and aligned with enterprise standards. · Embed source control, peer review, automated testing, CI/CD, infrastructure-as-code where appropriate, and sound software engineering practices. Own operational quality and production readiness · Be accountable for service reliability, observability, data freshness, data quality, lineage, access controls and operational support for team-owned pipelines and products. · Establish effective monitoring, alerting, incident response, root-cause analysis, recovery procedures and reduction of recurring support effort. · Partner with platform, architecture, security and governance teams on production readiness, privacy, compliance, cost and performance optimisation. Partner across the enterprise · Work with domain and transformation leaders to understand business outcomes, shape requirements and prioritise sustainable data engineering solutions. · Coordinate dependencies with data platform, analytics, AI/ML, application and infrastructure teams to enable end-to-end delivery. · Represent the team’s architecture, products, delivery status, risks and impact in technical and executive forums. Skills and Qualifications · 3+ years of people management or engineering leadership experience, including performance management, coaching and leading delivery teams. · 8+ years of relevant software, data platform or data engineering experience, with demonstrated ownership of production-grade enterprise data solutions. · Strong understanding of data architecture, ETL/ELT, data warehousing/lakehouse patterns, dimensional modelling, data contracts and reusable data products. · Practical technical experience with SQL and Python; strong familiarity with Snowflake, Databricks and PySpark, and experience with dbt or comparable transformation frameworks. · Experience with orchestration, API/file-based integrations, cloud services (preferably AWS), Git-based development, automated testing and CI/CD. · Experience operating business-critical data pipelines, including monitoring, incident management, data quality, security and performance optimisation. · Ability to plan team capacity, manage a portfolio of priorities, resolve cross-team dependencies and provide transparent, proactive delivery reporting. · Excellent stakeholder management and communication skills across engineering, business and senior leadership; undergraduate degree or equivalent experience. Desirable Experience ·  Enterprise Finance or Supply Chain data, including SAP and planning-system integrations (such as Anaplan or Adaptive). · Data governance, metadata/lineage, master data, privacy classification and regulated or sensitive enterprise datasets. · Enabling analytics, machine learning or AI-ready data products and applying AI-assisted engineering practices responsibly. · Working with geographically distributed teams and large-scale enterprise transformation programmes. Salary: €101,000 - €151,400 Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

- Проектировать, внедрять и поддерживать CI/CD-пайплайны на базе GitLab CI/CD. - Развёртывать, администрировать и масштабировать Kubernetes-кластеры.

Location: New York, NY, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. About The Role We are looking for a Sr Staff Platform Engineer to join our Platform team based in the United States. Our team is responsible for providing engineering teams with the platform and tooling responsible for deploying and running the core critical services that power the entire Fanatics business. You will own and lead complex initiatives across cloud infrastructure, Kubernetes platforms, CI/CD systems, observability, and internal developer tooling. As a Senior Staff Platform Engineer, you will be the technical lead for our platform team, owning the technical direction and priorities across every area of our platform. You will lead large, high-impact programs that span quarters, working through ambiguity and dependencies with the engineering teams that build on our platform to align technical and business goals. You will stay hands-on in the hardest technical work, set the standards for how our platform is designed, built, and operated, and shape the capabilities that engineering teams rely on to ship and run their services. You will regularly present ideas to senior leaders and mentor engineers across the team. What You’ll Do Help drive technical design and delivery of core platform capabilities spanning cloud infrastructure, Kubernetes platforms, Observability, CI/CD systems, and developer tooling Lead end-to-end execution of complex, multi-quarter features and systems, from architecture and design through deployment and continuous refinement. Partner with other engineering teams to improve reliability, scalability, and performance of services running in cloud-native environments. Contribute to incident response and resolution, helping to drive improvements in availability and system stability. Advocate for best practices in software delivery, infrastructure management, and operational excellence. Mentor engineers and contribute to a strong engineering culture within the team. Stay current with emerging technologies and industry trends, bringing innovative solutions to the team. What We’re Looking For 10+ years of experience in platform, infrastructure, DevOps, or software engineering Proven experience successfully leading and delivering complex cross-team, multi-quarter initiatives. Track record of breaking down complex work into clear, achievable milestones and delivering predictably using agile practices. Strong software engineering background, with experience in backend development and distributed systems. Deep understanding of the AWS cloud platform and cloud-native architectures. Proficiency in Infrastructure as Code (Terraform, CloudFormation) and automation. Hands-on experience with CI/CD pipelines, deployment automation, and developer productivity tooling. Deep expertise with Kubernetes and container orchestration in production environments. Strong knowledge of observability (logging, metrics, tracing) and experience improving system visibility and reliability. Experience with incident management and operational best practices for large-scale systems. Proficiency in Go or Python. Familiarity with AI-assisted development tools. Strong foundation in platform security concepts. Ability to collaborate effectively across teams, communicate complex topics clearly, and influence engineering best practices. Outcome-driven mindset with a focus on solving real-world engineering challenges. A positive, adaptable attitude suited for a fast-moving environment. Nice To Have Experience scaling services globally FinOps or cloud cost management experience Regulated or high-availability environment experience Experience with Java or Kotlin Familiarity with GitHub Actions Experience with Kafka and Cassandra Why Join Us? Work on high-impact platform engineering challenges at scale. Collaborate with experienced engineers who value technical excellence and innovation. Play a key role in shaping the developer experience and operational foundations of Fanatics Core. Join a culture that encourages learning, growth, and technical leadership. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ #LI-VG1 Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $220,000 — $275,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: Hyderabad, India Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation, and growth drive everything we do. Our Information Security team enables innovation at speed—securely. As digital guardians of DoorDash, Deliveroo, and Wolt, we safeguard our systems and the data of our employees, customers, riders, and partners. We defend against emerging cyber threats and embed security into every facet of the business. From building resilient defenses and responding to incidents to empowering teams with security knowledge, we are trusted partners protecting these global brands from the inside out. About the Role The Senior Security Operations Centre Specialist offers a unique opportunity to shape our global Security Operations strategy across a global footprint of DoorDash, Deliveroo, and Wolt. This role provides the platform to optimize our technology and AI investments while pioneering new methods to protect our data, people, and partners. As we expand, your specialist capabilities will be essential to our continued success. What you’ll be doing Work in a 24/7 global security operations centre, including scheduled night and weekend shifts. Lead the triage and investigation of security alerts, including phishing, malware, network attacks, security hygiene and privacy related incidents within specified SLAs. Mentor a team of SOC Specialists, providing the necessary guidance and feedback to deliver a best-in-class security service to the business. Lead the development and continuously improve operational documentation, processes and playbooks Build and manage autonomous AI runbooks to automate and scale our alert triage capabilities. Lead incident response and escalation, ensuring lessons learned are translated into continuous security improvements. Support the design, development and review of threat-detection use-cases to identify suspicious activity across our cloud environment. Feed into the risk framework of emerging and observed threats from intelligence and / or incidents (e.g., post incident activity / repair items). Support wider security incident investigations involving Threat Intelligence and Incident Response & Digital Forensics stakeholders. Keep up to date with current security trends, advisories, publications and security research across the threat landscape Leverage metrics and KPIs to improve security posture and identify opportunities for strategic optimisation Collaborate with the team to develop and help deliver cybersecurity awareness programs for employees, emphasising incident reporting and best practices. Requirements 6–8 years of experience in SOC, demonstrating success in managing security incidents and delivering platform optimisations while acting as a technical mentor and lead for shift operations. Proven experience building threat detection capabilities in a cloud-centric, fast-moving organisation. Hands-on experience with AWS security config, SOAR, GSO, EDR/XDR, Splunk and SQL queries. Practical experience ideating, configuring, managing defensive security solutions and technical project management Committed to continuous improvement, leveraging feedback to elevate both personal and team performance. Exceptional collaborative team player and a knowledge-sharing mindset. Working knowledge of security compliance standards, e.g. ISO27001, GDPR, NIS2 and PCI-DSS. Capable of working well both independently and collaboratively, whilst keeping calm, under the pressure of an incident with potentially high impact to the business. Able to communicate effectively during or after any incident update to both technical and non-technical stakeholders. Coordinate with the US, UK and EU central security teams as required. Preferred, but not required Understanding of IAM cloud security principles Experience in a DevOps environment with familiarity of CI/CD pipelines Hands-on experience with container technologies and orchestration services Knowledge of cloud security data encryption standards and principles Why Deliveroo? At Deliveroo, you’ll do work that matters—solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community organisers, proud parents, and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎A culture built for builders High standards, collaboration, flexible working and continuous learning. Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: London, England, United Kingdom Why Cast AI? Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production. The old way doesn’t work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation. Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS. Global team, diverse perspectives We’re headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. Unicorn momentum In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we’re just getting started. Join us as we build the future of autonomous infrastructure. About the role This is an opportunity to build a partnership ecosystem around a solution that every business needs - automated cloud native management. During the current recessionary and inflationary environment, companies are frantically looking for ways to reduce expenses. Few expenses are more burdensome than cloud costs. Cast AI has the perfect software solution, cutting clients' cloud bills in half or more. We are looking for a Partner Account Manager who is willing to turn the world upside down to make Cast AI the default cloud automation solution. With an objective, ROI-driven sale and a straightforward integration, Cast AI is the perfect opportunity for the right candidate to take a lifestyle-changing, rewarding, and exciting opportunity and help us build our partnership landscape. This role is primarily focused on EMEA North,with room to  expand into Central, with room to grow into wider EMEA over time. You'll be building the partner ecosystem for the region almost from the ground up - while the team and relationships already exist, this is very much a hunter role, focused on creating new go-to-market motion through the right partners. Requirements: Based in London, UK Strong existing relationships with regional Cloud/DevOps/Reseller partners Minimum 5 years partnerships experience Background at a digital-native company, startup, or ISV - someone who has seen a partner ecosystem being built and wants to build one themselves, rather than someone coming from a large enterprise environment Experience selling to DevOps/Engineering personas Familiarity with cloud platforms (AWS, GCP, Azure) Hunger for a fast-moving, agile, and scaling work environment Hard-working, independent, and self-driven work ethic - open to learning and feedback, yet reliable and independent in execution Team player, natural & relationship-first collaborator Willingness and ability to build a partner ecosystem from the bottom up Love of process, sales, wins, and challenges - driven by overcoming obstacles Excellent presentation skills and ability to create engagement in a meeting Responsibilities: Building, almost from the bottom up, our partner and reseller ecosystem across all partner types Creating partnerships with companies such as resellers, MSPs, and DevOps consultancies Driving toward a regional, active, working, and scaling pipeline of partner-sourced opportunities that impacts company-wide revenue results Collaborating across every part of the company - sales and SE teams, marketing and events, R&D and product, finance and legal What’s in it for you? Competitive salary Flexible, remote-first global environment Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology Equity options Learning budget for professional and personal development, including access to international conferences and courses Team-building budget and company events to connect with your colleagues Equipment budget to ensure you have everything you need Extra days off to help maintain a healthy work-life balance Potential for personal growth and promotion as the company grows and success drives more hiring and more opportunities Hiring process Screening call with Recruiter Hiring Manager interview 1-2 additional interviews based on the role Culture Check interview with an executive *As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. *Please note that Cast AI does not provide any form of visa sponsorship/work permit.

Location: United States, Remote Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Staff Software Engineer – Data Do you want to join a team of talented engineers building the next generation of real-time data platforms that power analytics and data-driven experiences across PlayStation? As part of our Data Platform team, you will play a key technical leadership role in designing and evolving the Real-Time Analytics Platform (RTAP), enabling high-throughput, low-latency analytics and stream processing at PlayStation scale. The Software Engineers within our Platform Engineering Group design, build, document, and operate large-scale distributed data platforms that support real-time and near real-time analytics across PlayStation. You will solve complex distributed systems challenges, evolve our streaming and analytics architecture, integrate AI-powered platform capabilities, and improve scalability, reliability, performance, and developer productivity. We’re looking for someone who is passionate about distributed systems, real-time analytics, and building scalable data platforms. You will work closely with Engineering, Product, Infrastructure, Security, and Data Engineering teams to shape technical strategy, influence architecture across organizations, mentor engineers, and help drive the long-term evolution of PlayStation’s data platform. Responsibilities · Design, build, and operate large-scale distributed data systems that power real-time and near real-time analytics,, and data-driven applications across PlayStation. · Lead the architecture and evolution of RTAP’s stream processing and analytics platforms, improving scalability, reliability, performance, and developer productivity. · Own critical platform capabilities end-to-end from architecture and implementation through production operations, performance optimization, reliability, and lifecycle management. · Build and optimize distributed data services using technologies such as Apache Flink, Spark Structured Streaming, ClickHouse, and Apache Druid to support high-throughput, low-latency workloads. · Partner with Data Engineering teams to integrate batch and streaming workloads using modern lakehouse architectures and build interoperable, scalable data platforms. · Build AI-powered capabilities to automate engineering workflows, improve data quality, simplify platform operations, accelerate troubleshooting, and enhance developer productivity. · Establish technical standards and engineering best practices for distributed systems, stream processing, data modeling, query optimization and platform reliability. · Mentor engineers across the organization by reviewing architecture, designs, and code while raising the technical bar through coaching and technical leadership. · Partner with Product, Infrastructure, Security, and Platform Engineering teams to define long-term technical strategy and deliver scalable platform capabilities aligned with business priorities. · Investigate and resolve complex production challenges involving high-throughput, low-latency distributed systems, ensuring high availability and operational excellence. · Participate in the team's production support and on-call rotation, leading incident response, conducting root-cause analysis, and implementing reliability improvements that strengthen the platform over time · Evaluate emerging technologies and distributed data platforms, recommending investments that improve scalability, reliability, developer productivity, and cost efficiency. Requirements · Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. · 8+ years of experience designing and building large-scale distributed systems, with expertise in real-time data processing, analytics, or data platform engineering. · Strong proficiency in Python , with experience building production-grade distributed systems and data processing applications. Experience with Scala is beneficial for supporting and evolving existing platform components. · Hands-on expertise designing and operating large-scale stream processing applications using Apache Flink , Apache Spark Structured Streaming , or equivalent distributed streaming technologies. · Production experience designing, operating, and optimizing distributed analytics platforms using ClickHouse , Apache Druid , or equivalent high-performance OLAP/analytics databases, including query optimization, data modeling, and performance tuning at scale. · Experience building and consuming event-driven data pipelines using AWS MSK , Apache Kafka , or equivalent messaging platforms, with a focus on developing reliable, scalable data processing applications. · Experience applying AI/ML techniques and modern AI tooling to automate engineering workflows, improve data pipelines, simplify platform operations, and enhance developer productivity. · Strong systems design skills with the ability to evaluate architectural trade-offs across scalability, latency, throughput, consistency, reliability, and cost. · Demonstrated technical leadership through architecture ownership, mentoring engineers, and influencing technical decisions across multiple teams. Nice to Have · Experience with Databricks , Apache Iceberg , or modern lakehouse architectures, with the ability to design and integrate batch and streaming workloads into scalable, production-grade data platforms. · Experience building or operating multi-tenant, self-service data platforms supporting multiple engineering organizations. · Experience collaborating with globally distributed engineering teams across multiple organizations and time zones to deliver shared platform capabilities and drive technical alignment. Your First 90 Days 30 Days: Develop a strong understanding of the platform’s architecture, capabilities, engineering practices, and roadmap.Begin contributing to architecture discussions, feature development, design reviews, and production support.Build relationships within the team as well as across  the Data Platform organization. 60 Days: Take technical ownership of a major platform capability or architectural area. Identify opportunities to improve scalability, performance, reliability, or developer productivity.Collaborate with Data Engineering, Infrastructure, Product, and other partner teams on cross-platform initiatives. 90 Days: Lead the design and delivery of key roadmap initiatives for the team..Influence technical direction across teams and mentor engineers on distributed systems and platform engineering best practices.Establish clear architectural recommendations for the next phase of the platform’s evolution. In 90 days, you will have a detailed understanding of the Real-Time Analytics Platform and its role within PlayStation’s broader data ecosystem. You will be comfortable owning complex distributed systems initiatives, partnering closely with Product and Engineering teams, and driving large-scale solutions from architecture through production delivery. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $198,200 — $297,400 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: London, United Kingdom Workplace: hybrid About us At Xelix, we work with some of the world’s largest companies to automate and strengthen their financial controls. Our AI solutions redefine how Accounts Payable teams operate – moving from manual processes to automated, intelligent workflows. Xelix is a fast-paced scale-up – things move fast and expectations are high. We raised our Series B with Insight Partners in June 2025 and are expanding aggressively. We have a team of over 150 talented people pulling together to achieve our goals. Everyone is trusted to take ownership, move fast and have a meaningful impact. We prioritise personal and professional growth, keep things fun, and love to celebrate a milestone together. In this role you’ll grow, be challenged and help shape the future of Xelix. If you’re excited about building something special with us, we’d love to hear from you. About the role We’re hiring a Data Engineer to join our growing Platform Team and help shape the data foundations behind our products. As our customer base and data volumes grow, you’ll make sure our production data architecture, pipelines and storage remain reliable, scalable and cost-effective. This is a hands-on role focused on the systems that power our products, rather than internal BI or building a company-wide data warehouse. You’ll improve data models and database performance, help us choose the right storage and processing tools for each workload, and strengthen data quality and retention practices. Projects could include moving large and non-operational data out of PostgreSQL, improving pipeline orchestration with Prefect, and evolving our search and analytical capabilities with technologies such as OpenSearch and column databases. You’ll bring the experience and judgement to assess our current architecture independently, constructively challenge established practices, identify the most valuable improvements, and take them from proposal through to production. Working closely with product engineers, AI engineers and DevOps, you’ll combine practical delivery with longer-term architectural thinking. Whether you’re an experienced mid-level engineer ready for broader ownership or already operating at senior level, this is an opportunity to take a dedicated data engineering role with a meaningful impact on how Xelix scales. At senior level, you’ll lead data architecture decisions across teams and own the roadmap for improving our production data systems. What you'll be doing Improve our production data architecture. Build reliable pipelines with tools such as Prefect. Optimise PostgreSQL performance and data models. Choose the right storage, search and processing tools. Improve data quality and retention practices. Deliver changes alongside product, AI and DevOps teams. Strengthen data access, retention and auditability in partnership with security, compliance and engineering teams. What you’ll bring Professional experience owning the architecture of production data systems in AWS and their improvements. Experience with data access controls, retention and auditability requirements in regulated environments (SOC 1, SOC 2, HIPAA, ISO 27001 or similar). Good judgement on storage and processing trade-offs. Clear communication and a hands-on, collaborative approach. A focus on reliability, data quality and security. Strong SQL, PostgreSQL and data modelling skills. Experience with NoSQL databases (like MongoDB, DocumentDB or DynamoDB) and warehousing solutions (like DuckDB, ClickHouse, Redshift) Solid Python and data pipeline engineering skills. Confidence using AI tools for development, investigation and documentation, with sound judgement about their value and limitations. What we offer in return 💰 Competitive salary of £50,000-£70,000 depending on experience 🏝️ 27 days of annual leave (including 3 days Christmas closing), with the option to roll over 3 days 🏡 Hybrid working with one day a week from our dog-friendly Hoxton office and on-site gym 🏥 Comprehensive private medical & dental cover with Vitality 🍼 Enhanced parental leave pay 📚 Learning & development culture – £1,000 personal annual budget 🌍 We’re carbon-neutral and are working towards ambitious carbon reduction goals 🎯 Lots of team socials & activities ☀️ Annual team retreat Want to learn more? About us Xelix blog Xelix news Xelix glassdoor We believe that people from diverse backgrounds, with different identities and experiences make our company and product better. No matter your background, we'd love to hear from you! And if you have a disability, please let us know if there's any way we can make the interview process better for you - we're happy to accommodate! If you're a recruiting agency - we have an existing list of agencies we work with and we are not currently planning on expanding the list. Neither the Talent team nor hiring managers or the Support team will respond to cold outreach. This is a full-time position, with standard working hours from 9:00 AM to 6:00 PM, Monday through Friday. Interview Process While the exact process may vary slightly depending on the role, our typical interview stages are: Introductory Call – A short Teams conversation with a Talent Partner to discuss your background and the opportunity. Hiring Manager Interview – A 30–45 minute Teams meeting to explore your experience and fit for the team. Technical Task or Presentation – A role-relevant exercise to demonstrate your skills and approach. Final On-site Interview – An in-person meeting with our senior leadership team and co-founders at our office. We strive to make the process clear, efficient, and respectful of your time. We welcome the responsible use of AI for research and interview preparation, but ask that it isn't used to generate answers during live interviews. We also believe in being transparent - we use Metaview's AI note-taker during interviews so our interviewers can stay fully present. If you'd prefer us not to use it, just let your interviewer know. While you may need to answer eligibility questions as part of your application, we do not use AI to review or make decisions on applications - every application is reviewed fairly by a member of our Talent team.

Workplace: remote Requirements 4+ years of experience in software development (5+ years for Lead level) Strong experience with Microsoft .NET (preferably ASP.NET Core) Hands-on experience building RESTful APIs Experience with AWS Cloud, Docker, containers, and microservices Proficiency in software design principles and working with SQL/NoSQL databases Solid understanding of design patterns, SOLID principles, and modern development practices Good spoken and written English for daily communication with the client team Additional advantage: Experience with Graph Databases Nice to have Frontend development skills (HTML5, JavaScript/TypeScript, Angular, React, or Blazor) Experience with CI/CD setup, code review practices, static code analysis, and automated testing Familiarity with cloud platforms (AWS, Azure, GCP) Experience working in SCRUM teams Involvement in designing and documenting technical solutions Responsibilities Design and development of new features and services Promote and implement best practices in software development Participate in architectural and technical discussions Conduct code reviews and contribute to refactoring initiatives Collaborate with an English-speaking international team using Agile processes We offer Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota Competitive compensation that depends on your qualification and skills Career development system with clear skill qualifications Flexible working hours aligned to your schedule Options to work remotely Corporate medical insurance covering services of private and public medical centers English courses online Corporate parties and events for employees and their children Internal conferences, workshops and meetups for learning and experience sharing Gym membership compensation 5 days of paid sick leave per year with no obligation to submit a sick-leave certificate Any questions? Aliya hh@itransition.com

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin or London About the Role TLS is the connective tissue of the Internet, and Cloudflare terminates a large fraction of it. Cloudflare sits in front of more than 20 percent of global Internet request traffic and terminates TLS for millions of domains. Every day, our network handles certificate operations across products like Universal SSL, SSL for SaaS, Origin CA, Cloudflare Access, and Cloudflare Tunnel. That scale has taught us how the WebPKI ecosystem works from the consuming side.  As certificate lifetimes shorten, agentic activity increases, and post-quantum certificates move toward production, the number of certificates the Internet depends on will grow dramatically. Cloudflare is building a certificate authority for the whole Internet: a public, redundant, transparent CA that provides another trusted source of automated certificates and helps make the encrypted web more resilient. We intend to be ACME-first, automation-first, and transparent by design. We also intend to lead where the ecosystem is going, including post-quantum certificates and Merkle Tree Certificates, while continuing to support the classic WebPKI customers rely on today. As Principal Product Manager for Cloudflare's Certificate Authority business, you will define the product strategy, roadmap, customer experience, and commercial model for this new venture. You will work across product, engineering, security, compliance, legal, operations, sales, marketing, and the WebPKI ecosystem to turn Cloudflare's CA from a major technical commitment into a product customers trust and adopt. This is an early-days role on a growing team. It is not a role for someone who only manages backlog. The right person will be comfortable with high-consequence infrastructure, deep customer discovery, ecosystem trust, compliance scrutiny, and zero-to-one product building. The decisions you make in the first year will shape how Cloudflare participates in the certificate authority market for years to come. Responsibilities Define the product strategy for Cloudflare's CA business across publicly trusted certificates, certificate lifecycle automation, ACME issuance, renewal workflows, revocation, Certificate Transparency, customer controls, developer experience, and integrations with Cloudflare's broader platform. Build for the whole Internet by understanding the needs of developers, site owners, platform teams, SaaS providers, enterprise security teams, infrastructure operators, and partners who depend on certificates for availability, security, and compliance. Make resilience a product principle. Help design product requirements that fail small, reduce customer blast radius, support automated recovery, and make certificate replacement fast enough to handle compliance issues, revocation events, or ecosystem incidents. Drive an ACME-first customer experience that makes it easy for users of existing free or automated CAs to adopt Cloudflare with minimal tooling changes. Partner closely with engineering on systems that manage certificate lifecycles, automate issuance and renewal, integrate with HSMs, protect keys, support auditability, and operate within strict reliability and correctness requirements. Partner with compliance, legal, security, and operations to ensure product decisions align with CA/Browser Forum Baseline Requirements, WebTrust audits, root store program policies, Certificate Policy and Certification Practice Statement commitments, and public incident response expectations. Own go-to-market strategy including packaging, pricing, launch sequencing, competitive positioning, customer segmentation, sales enablement, developer messaging, and adoption metrics. Represent the customer and the ecosystem in product decisions where trust, transparency, uptime, security, and commercial adoption must all be balanced. Work across Cloudflare product teams including SSL/TLS, Application Security, Zero Trust, Workers, Registrar, DNS, Load Balancing, SaaS products, and infrastructure teams that consume or expose certificate services. Help make Cloudflare Customer Zero by ensuring our own usage of the CA exercises the product at Cloudflare scale and informs the roadmap before customers depend on it. Desirable Skills, Knowledge and Experience 10+ years of product management experience building technical products for developers, security teams, infrastructure teams, enterprises, or cloud platforms. Experience with security, identity, infrastructure, or developer platform products where correctness, reliability, compliance, and trust are core product requirements. Working knowledge of PKI and certificate lifecycle management including TLS certificates, X.509, ACME, public and private CAs, revocation, Certificate Transparency, mTLS, HSMs, and enterprise certificate automation. Strong business judgment with experience defining product strategy, pricing and packaging, customer segmentation, and go-to-market plans for technical B2B products. Ability to operate in ambiguity and create structure around a new business, including market definition, customer discovery, roadmap tradeoffs, launch planning, and executive alignment. Technical fluency with engineering teams and comfort discussing APIs, distributed systems, key management, audit trails, reliability, operational failure modes, and security tradeoffs. Strong written communication for strategy documents, product requirements, launch narratives, customer-facing messaging, and high-stakes internal decisions. Comfort with high-consequence work. A mis-issued, mis-revoked, or unavailable certificate can become a public, ecosystem-visible event. You need the judgment to move quickly and the discipline to be careful. Bonus Points Direct experience working on certificate authority, PKI, certificate lifecycle management, cloud security, identity, or trust services products. Experience with publicly trusted CAs, private PKI, managed certificate services, or platforms such as AWS Certificate Manager, AWS Private CA, Google Trust Services, DigiCert, Sectigo, Let's Encrypt / ISRG, Entrust, Microsoft PKI, HashiCorp Vault PKI, step-ca, or CFSSL. Familiarity with CA/Browser Forum requirements, browser root programs, WebTrust for CAs, WebTrust Baseline Requirements, or public CA incident reporting. Experience building API-first developer products, especially products involving ACME, SDKs, CLI workflows, Kubernetes, service mesh, mTLS, or infrastructure-as-code integrations. Experience launching new businesses or zero-to-one products inside a larger platform company. Familiarity with certificate automation challenges created by 90-day and shorter certificate lifetimes. Familiarity with post-quantum cryptography, crypto-agility, Merkle Tree Certificates, or customer migration planning for cryptographic transitions. Prior participation in WebPKI, IETF, browser trust, transparency, or security standards communities. Compensation Compensation may be adjusted depending on work location. Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

- Commercial software development experience for 3+ years, including 2+ years of developing and configuring solutions on the Creatio platform. - Strong proficiency in C#, .NET Framework, JavaScript, and SQL, with experience working with PostgreSQL.

Location: Warsaw, Mazowieckie, Poland; Limassol, Cyprus; Sofia City, Bulgaria Workplace: hybrid Capital.com is building out its internal platform capabilities, and AI is a growing part of that. The role combines architectural ownership with hands-on delivery: you will design, build, deploy and operate the platform, including its infrastructure and DevOps. Reporting to the Director of Product Security, you will set up this function as its first member and make the early technical decisions that the future team will build on. As Platform Architect, you will own the architecture of the platform that more than 1,000 employees rely on, including their access to AI tools such as Anthropic Claude, OpenAI and future providers. Responsibilities: Build the AI platform architecture: the reference design for how LLM capabilities are accessed, governed, monitored, and extended across the organisation. Own every architectural decision for the AI platform, and document, justify, and stand behind each one. Evaluate and select new models, tools, and frameworks as the market moves. Deliver the platform as a service, so teams can move their agents into governed cloud infrastructure. Govern Anthropic (Claude API, Claude Code, Anthropic Enterprise), OpenAI, and future providers, covering API access controls, credential management, model version policy, cost allocation, and acceptable use standards. Own technical relationships with Anthropic and OpenAI at the enterprise level. Build cloud infrastructure for AI workloads on AWS and GCP: Bedrock, SageMaker, Vertex AI, Cloud Functions, and supporting services (S3, Cloud Storage, IAM, and monitoring on both platforms). Deploy and securely configure n8n, and build automation workflows connecting LLMs to Jira, Confluence, Slack, Google Workspace, HR systems, and proprietary data sources. Design and secure MCP servers and gateways connecting AI agents to internal services. Build Python integrations for AI-powered internal tooling: RAG pipelines, agent frameworks, prompt libraries, and internal AI assistants. Deliver hands-on: you write the code, build the workflows, and deploy the tooling. This isn't an advisory role. Build data privacy and security architecture for LLM usage in a regulated environment, including prompt classification, output controls, and audit trails aligned with FCA, CySEC, ASIC, and DORA. Build observability across the full stack: token consumption, cost per team, latency, error rates, and policy violations across cloud platforms and direct API providers. Build an AI adoption framework of standards, patterns, and onboarding materials that let teams across Technology use AI safely and consistently. Run internal enablement through workshops, documentation, and direct support for teams moving from ad-hoc AI use to governed, repeatable processes. Report AI platform status, risks, and roadmap to Technology leadership Requirements: 8+ years in engineering, with at least 2 years building LLM-based systems in production, not prototypes or POCs. Comfort operating as the first person in a function: you set your own priorities, unblock yourself, and deliver without a team around you. Production-grade Python: tooling that others depend on, not scripts you hand off. Deep, hands-on experience with the Anthropic and/or OpenAI APIs: function calling, tool use, streaming, RAG, prompt management, token optimisation, and model versioning. Hands-on experience with agentic platforms, MCP servers, and MCP gateways, including designing flows between AI agents and internal services. n8n: deploying, securely configuring, and maintaining multi-step automation workflows at organisation scale. Solid AWS for AI workloads: Bedrock, SageMaker, Lambda, S3, IAM, and CloudWatch, deployed and operated in production. Solid GCP for AI workloads: Vertex AI, Cloud Functions, Cloud Storage, IAM, and Cloud Monitoring. Hands-on DevOps capability to deploy and run what you build. Architectural thinking: end-to-end system design, clear trade-off documentation, and the ability to defend decisions to senior stakeholders. Security engineering for what you build: secrets and credential management, key rotation, and least-privilege IAM across cloud and SaaS. Data protection and auditability by design: classifying what data can reach which model and provider, controlling and logging prompts and outputs, and building audit trails that hold up to a regulator. Fluency in the LLM threat surface, including prompt injection, data exfiltration through model outputs, insecure tool and agent use, and model supply-chain risk, with working knowledge of a recognised framework such as the OWASP LLM Top 10 or NIST AI RMF. Nice to have: Fintech, brokerage, or financial services background. DORA or ISO 27001:2022 knowledge as it applies to AI system risk. Familiarity with the EU AI Act and other AI regulatory requirements, as well as AI-specific risk and governance standards such as NIST AI RMF or ISO/IEC 42001. LLM orchestration frameworks: LangChain, LlamaIndex, or similar. Hands-on experience with LLM guardrail and DLP tooling: Bedrock Guardrails, Vertex AI safety filters, or prompt-firewall and PII-redaction tools. Experience building internal developer platforms or AI centres of excellence. AWS Solutions Architect Professional, Google Professional ML Engineer, or equivalent. Grow with Capital.com and help shape how millions of people access the markets.

Location: Amsterdam, Netherlands At Catawiki, every day brings the extraordinary! Whether it’s Daniel Ricciardo’s Formula 1 Car , a Woolly Mammoth’s Skeleton , Lady Gaga's Jumpsuit or Usain Bolt’s running shoe , we encounter exceptional objects every day. We’re a one-of-a-kind marketplace for buying and selling special objects. Each week, more than 100,000 unique items are auctioned, all carefully curated by our passionate in-house experts. Having sold over 25 million unique objects, our mission is to become the world’s most popular destination for special objects. As a growing, diverse and sustainable scale-up, we proudly live by three core values. If these values resonate with you, we’d love to explore how you can join us. Taking ownership and driving impact Being open to change and feedback Being passionate about our mission and our customers. Your mission As Senior Manager – Data Engineering & Machine Learning, you’ll lead Catawiki’s established team of Data Engineers and Machine Learning specialists. You’ll help the team grow, set its technical direction and build on work already underway across data foundations and production machine learning. The role spans two connected disciplines. You’ll bring deep experience in either Data Engineering or Machine Learning Engineering, and enough breadth to set direction across the other. You’ll partner with Product, Engineering, Analytics and business stakeholders to set priorities and connect the team’s work to outcomes across Catawiki. What you'll do You’ll lead the team through platform modernisation and product-facing ML work. Current priorities include modernising the infrastructure for serving production models, introducing a feature store to improve feature management and consistency across model training and serving, and strengthening observability and cost controls. You’ll help set priorities and raise the reliability and impact of this work. Lead and develop the team: Set direction, coach experienced specialists and create clear ownership across Data Engineering and Machine Learning. Build dependable data foundations: Improve the pipelines, integrations and infrastructure the wider Data team relies on for analysis, reporting and machine learning. Strengthen production ML: Improve deployment, monitoring and operational follow-through for production models, so teams can run them reliably and resolve issues effectively. Advance marketplace models: Help teams improve recommendation, cancellation and bidder-risk use cases, connecting model performance to meaningful product outcomes. Set direction and priorities: Work with Product, Engineering, Analytics and business partners to choose high-value problems and balance delivery, reliability and long-term platform health. Shape the technology strategy: Reporting to the SVP Engineering, you’ll join the Engineering Management team and help shape the direction of the Technology department. What you'll bring You combine strong technical judgement with experienced people leadership. You create clarity in a complex environment, empower specialists and make sound decisions across both disciplines. Your experience will include the following. Familiarity with Catawiki’s current stack is useful, and equivalent experience with other platforms is welcome. Technical depth in one discipline: Deep experience designing, building and operating data-intensive systems in Data Engineering or Machine Learning Engineering, with practical knowledge of the other. People leadership: Experience leading experienced engineers or ML specialists, coaching their growth and setting clear expectations. Architecture and systems thinking: Ability to evaluate trade-offs and guide architecture for data platforms, distributed systems and production infrastructure. Production ML understanding: Experience with the deployment, monitoring and operation of machine learning systems in production. Business and product judgement: Ability to connect technical work to business goals, make priority calls and assess outcomes. Relevant cloud platform experience: We run on GCP using BigQuery, Vertex AI and Kubernetes. Experience with equivalent AWS services is also relevant. Streaming and integration experience: Kafka, event-driven systems or modern data integration tools are useful. Clear communication: Ability to explain technical trade-offs and align technical and non-technical stakeholders. How we work You’ll lead a team of eight Data Engineers and Machine Learning specialists across Amsterdam and Lisbon. The team works closely with Product, Engineering, Analytics and business stakeholders to connect data and ML capabilities to real needs. Specialists own implementation while you set direction, priorities and clear standards. The team supports production data and ML systems, and has no on-call rotation. Where you'll be This is a hybrid role in Amsterdam. You will work from our Amsterdam HQ a minimum of 2 days per week. Why You'll Love Working with Us Create a visible impact by working at scale in a global organisation serving millions of customers across 80+ categories. In our flat structure, every role has a broad scope and directly impacts both our customers and the business. Learn and grow through our Learning & Development initiatives, including clear development plans and mentorship programmes to support your career progression. A culture of connection defines us . We’re a passionate, diverse team of 800+ Catawikians representing 60+ nationalities. We foster an inclusive and queer-friendly environment where everyone is encouraged to bring their full self to work. Celebrate life’s moments with us. You’ll receive a €100 Catavoucher when you join, a €50 Catavoucher on your birthday, and an extra day off each year to “Pursue Your Passion ” . We also offer additional leave for key work anniversaries and important life events. Benefits may vary by location. Our Offices and Way of Working Our vibrant offices in Amsterdam and Lisbon are designed to inspire collaboration. Most Catawikians operate in a hybrid setup, combining office-based and remote work, with a minimum of two days per week in the office, unless a role is explicitly stated as fully remote or fully office-based. Interested? Apply with an English CV and Cover Letter. By applying, you agree to Catawiki’s Applicant Privacy Policy. If you’re excited about this role but don’t meet every requirement, we still encourage you to apply anyway. You may be just the right candidate for this or other roles. We may use artificial intelligence (AI) tools to support the review of your application. AI may help us assess how your experience matches the requirements of the role, but hiring decisions are always made by our recruitment team

You define the vision for our North America Solution Consulting & Value Engineering organization – spanning solutions architects, demo engineers, and value engineers across Strategic, Enterprise, Commercial, and Architecture segments – building on our strengths and setting us up for accelerated growth well into the future. Problem Solver:

Operate and maintain BeyondTrust's on-premises and cloud network infrastructure, including routing/switching changes, datacenter resource changes, and routine firewall/security group changes end-to-end across on-prem and cloud environments; Demonstrated proficiency in Administrator/Engineer-level on-premises networking fundamentals.

Опыт работы Разработчиком Backend Java в телекоммуникационных проектах от 3-х лет. Опыт работы с решениями на базе OIDC\Oauth (например, разработки системы аутентификации или интеграции с Yandex ID или подобными системами).

• 8+ лет опыта в прикладном ML/AI с ответственностью за системы end-to-end. • Уверенное владение Python.

Robinhood is looking for a Staff Backend Engineer to define platform architecture, lead cloud modernization, and improve the resilience of exchange services.