Staff Security Engineer

Parloa

ABOUT PARLOA Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale. ABOUT THE ROLE: Security at Parloa isn't an afterthought — it's foundational to how we build and operate an AI platform that enterprises trust with sensitive voice and chat data at scale. As Principal Security Engineer, you'll set the technical direction for security across our engineering organisation: from secure architecture and threat modelling, to embedding security thinking into how a fast-growing AI company designs, builds, and ships. This is a hands-on, high-ownership role. You won't just maintain a security programme — you'll define it, working across infrastructure, product, and AI/ML teams to ensure security is built in from the start, not bolted on afterwards. You'll be a technical authority and a multiplier, raising the security bar across the whole organisation. AREAS OF OWNERSHIP: * Own the technical security engineering strategy across Parloa's platform, infrastructure, and AI/ML systems * Lead deep threat modelling and architecture reviews for new and existing systems, including LLM-based and voice/chat AI pipelines * Drive secure-by-design practices into the software development lifecycle, partnering closely with engineering teams rather than gatekeeping after the fact * Design and improve detection, monitoring, and incident response capabilities across cloud and AI infrastructure * Guide security architecture for multi-tenant, sensitive data flows across Parloa's enterprise customer base * Support compliance and governance efforts (e.g. SOC 2, ISO 27001) by ensuring technical controls are sound and well-documented * Mentor senior+ engineers and security practitioners, building security capability across the wider organisation * Act as a trusted technical voice in conversations with enterprise customers and partners on security matters * Stay ahead of the evolving threat landscape for AI and voice/chat systems, bringing new risks and mitigations to the team proactively WHO YOU ARE: * Extensive experience (15+ years) in security engineering, with demonstrated impact at Staff or Principal level * Deep expertise in application security and/or cloud security, threat modelling, and secure architecture for distributed, cloud-native systems * Hands-on experience with cloud security across AWS, GCP, or Azure, and container orchestration (Kubernetes) * Strong understanding of identity and access management, encryption, and secure data handling at enterprise scale * Experience securing systems handling sensitive or regulated data, ideally with exposure to GDPR or similar frameworks * A track record of driving security strategy and influencing engineering culture across an organisation, not just executing individual fixes * Excellent communication skills, able to explain security risk and trade-offs clearly to engineers, leadership, and customers * Genuine curiosity about AI systems and a willingness to dig into the emerging security challenges they introduce OUR ENGINEERING VALUES: At Parloa, we hire, promote, and evaluate based on cultural and technical excellence. You’ll thrive here if you: * Earn Trust – act with transparency and reliability. * Obsess Over Customers – always start with the customer problem. * Think Big – set bold goals and pursue them fearlessly. * Have Integrity – do the right thing, especially when it’s hard. * Disagree & Commit – debate with candor, align fast, and deliver. * Own It – take full responsibility for outcomes, not just tasks. * Dive Deep – master the details without losing sight of the big picture. * Bias for Action – move fast, decide quickly, iterate fearlessly. * Deliver Value – measure success by customer and business impact. * Insist on the Highest Standards – raise the bar continuously. * Go the Extra Mile – make the impossible possible. * Hire & Elevate the Best – raise the bar with every hire   OUR RECRUITING PROCESS: Recruiter Interview → Technical Peer Interview → Expert interview(s) → Bar Raiser   WHY PARLOA? We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale—and want your work to matter in real, everyday moments—this is where you do it. At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them. We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one. Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.     ---------------------------------------------------------------------------------------------------------------------------------- Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. Parloa is an e-verify employer in the USA. Please click here to learn more. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

Databricks

P-1127 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. The Delta DML team owns the core write-path operations for Delta Lake, the open-source storage layer behind the Databricks Lakehouse. Our mission is to deliver industry-leading performance and a seamless user experience at massive scale, with most data written in Databricks flowing through our platform.  We drive performance innovations like Low Shuffle Merge and Deletion Vectors and actively contribute to open source efforts to unify Delta and Iceberg formats. We are seeking a highly skilled and experienced Senior Staff Software Engineer to join our backend team. In this role, you will be instrumental in designing, developing, and maintaining robust backend systems that power Databricks workspaces. You will build the next-generation platform for serving workspace assets, ensuring high QPS, low latency, reliable, and performant systems, proactively addressing the future growth challenges. Additionally, as a senior member of the team, you will provide technical leadership, mentorship, and guidance to junior engineers, contributing to the overall improvement of team coding practices and system designs. The Impact you will have: * Solve real business needs at large scale by applying your software engineering. * Low level systems debugging, performance measurement, and optimization on large production clusters. * Build architecture design, influence product roadmap, and take ownership and responsibility over new projects. * Introduce tools to allow greater automation and operability of services. * Use your deep experience to help prevent and investigate production issues. * Plan and lead complicated technical projects that work with several teams within the company. * Contribute as a technical team lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning. What we look for: * 15+ years industry experience building and supporting large-scale distributed systems. * Comfortable working towards a multi-year vision with incremental deliverables. * Motivated by delivering customer value and impact. * Strong foundation in algorithms and data structures and their real-world use cases. * Experience driving company initiatives towards customer satisfaction. * BS/MS/PhD in Computer Science or related majors, or equivalent experience.   About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Adsquare

INTRO At Adsquare, our mission is driven by our core focus: Passion, solving complex challenges with great people, tech, and data; and Niche, location intelligence for programmatic advertisers.  Our core values are integral to everything we do: * Drive: We turn ambition into action. * Resilience: We adapt, persevere, and grow stronger. * No BS: We value honesty, transparency, and clear communication. * Humble: We choose modesty over vanity and let results speak for themselves. * Moral Compass: We do the right thing with fairness, integrity, and respect. We seek candidates who not only bring excellent technical expertise but also embody these values in every aspect of their work. YOUR MISSION As a Staff Backend Engineer, you will own the design and operation of the high-throughput JVM services that turn massive streams of location data into products our partners depend on in real time.  You will operate with a high degree of autonomy and engagement, seeking out the problems worth solving, driving performance and reliability across our services, and making the architectural decisions that shape how the whole organisation builds and scales. You will thrive in ambiguity, turn business-critical challenges into systems that hold up under real-world load, and lift the engineers around you as you go. YOUR PROFILE We are looking for a staff-level engineer with a strong backend and cloud background who is comfortable owning complex systems in production. Our stack is centered on Java, Kotlin, and AWS, and while the specifics are listed below, we don't expect prior experience with every tool we use. Must-Have Skills * 8+ years building backend systems in production, with a track record of owning services end to end. * Experience mentoring senior engineers and influencing technical direction across teams. * Strong expertise in Java or another JVM language (Kotlin, Scala) and the Spring ecosystem. * Proven experience designing and operating distributed systems under real-world load. * Deep, hands-on AWS experience (for example S3, SQS/SNS, Lambda, IAM), including designing cloud-native architectures. * Hands-on experience with Docker and containerised deployment workflows. * Practical experience building and maintaining CI/CD pipelines (for example GitHub Actions, GitLab CI, Jenkins). * Fluency with AI-assisted development tools (for example Copilot, Cursor, Claude Code), using them to accelerate design, coding, testing, and review while keeping strong judgment over correctness, security, and maintainability. * A strong understanding of concurrency, data consistency, and system reliability. * Experience with PostgreSQL or other relational/NoSQL databases (for example MongoDB) in high-throughput environments. * A proactive approach: you identify problems, take ownership, and drive solutions with a high degree of autonomy. NICE TO HAVE * Experience with systems processing large data volumes or high request throughput. * A feel for architectural trade-offs (for example synchronous vs. asynchronous processing) and comfort making decisions with incomplete information. * Experience helping a team adopt AI-assisted development practices thoughtfully, balancing speed with quality. * Experience with our wider environment: Terraform, MongoDB, Kubernetes, and AWS data tooling (Athena, Glue, Batch, Step Functions). * Background in partner integrations or API-driven systems, or evolving systems from monolithic to cloud-native. WHAT YOU WILL DO * Design and evolve distributed backend systems with a strong focus on scalability and correctness. * Take services from architecture decisions through deployment and day-to-day operation. * Maintain existing partner integrations and build new ones to deliver large-scale data to our partners reliably. * Build and operate cloud-native systems on AWS, including migrating services from monolithic to cloud-native architectures. * Monitor system health, troubleshoot production issues, and optimise for performance, memory, and latency. * Collaborate closely with Product and Data teams to deliver features that move the business. * Raise the engineering bar across teams: drive cross-team architecture decisions and grow the engineers around you. WHY US? On top of a competitive package: * We are open to flexible work models: we work in a hybrid mode and remotely from anywhere in the world up to 3 months per year. * You are entitled to 30 vacation days per year. * We offer Urban Sports Club membership and a company pension scheme. * Regular team events and company events organised by our People team (trust us, they know how to throw a party!). * We equip you with the latest hardware and provide you with all the tools you need to thrive. SALARY RANGE (ANNUAL ON-TARGET EARNINGS) 90,000 - 100,000 euros per year RECRUITING PROCESS * Step 1: Intro and values conversation (30 mins) to get to know each other and align on expectations. * Step 2: Technical interviews: two conversations covering backend fundamentals and a deeper system-design discussion. * Step 3: Final step: meet the team, followed by a decision and offer. We conduct a reference check at this stage. WORK MODEL Hybrid or Remote DESIRED START DATE As soon as possible