Senior Cyber Security Engineer, Elastic (Security Operations)

Bitpanda

WHO WE ARE  We simplify wealth creation. Founded in 2014 in Vienna, Austria by Eric Demuth, Paul Klanschek and Christian Trummer, we’re here to help people trust themselves enough to build their financial freedom — for now and the future. Our user-friendly, trade-everything platform empowers both first-time investors and seasoned experts to invest in the cryptocurrencies, crypto indices, stocks*, precious metals and commodities* they want — with any sized budget, 24/7. Our global team works across different cultures and time zones, bringing our products to more than 7 million customers, making us one of Europe’s safest and most secure platforms that powers modern investing.   Headquartered in Austria but operating across Europe, our products are built by fast-moving, talented, “roll-up-your-sleeves-and-make-it-happen” kind of people. It’s these diverse perspectives and innovative minds operating as ONE TEAM that keep Bitpanda at the cutting edge of our industry. So if you’re someone who thinks big, moves fast and wants to make an impact right from day one, then get ready to join our industry-changing team. Let’s go!   Your mission Join Bitpanda as a Senior DevOps Engineer and take a leading role in shaping the next generation of our high-performance, cloud-native infrastructure that powers the future of digital finance. As a senior member of the team, you will drive architectural decisions, mentor and guide junior engineers, and ensure our platforms remain secure, scalable, and resilient. You’ll work with a motivated group of highly skilled engineers, contributing your experience while continuing to grow in a cutting-edge, fast-moving environment. What You’ll Do * Design, develop, and evolve our AWS-based infrastructure using best-in-class tooling, including Terraform and ArgoCD, leading the operation and optimisation of our container orchestration platforms, with a focus on multi-cluster networking and service-to-service communication. * Take ownership of our cross-cluster Istio service mesh—implementing policies, improving traffic management, and enhancing mesh-level networking performance and security. * Take ownership of the performance and scaling of either our Confluent Kafka messaging deployments proactively identifying bottlenecks, improving configurations, and collaborating with engineering teams to tune applications. * Monitor, optimise, and automate systems to ensure high availability, strong security posture, and superior performance using Datadog, Opsgenie, and AI-powered tooling. * Build scalable, robust solutions for complex technical challenges, ensuring infrastructure design aligns with best practices and long-term platform goals. * Mentor junior and mid-level engineers, promote engineering excellence, and contribute to team knowledge sharing and process improvements. Who You Are * 5+ years of hands-on experience building and managing AWS infrastructure (EC2, VPC, IAM, RDS, KMS, and related services). * Strong expertise in Docker, Kubernetes, and Infrastructure as Code (Terraform/CloudFormation). * 3+ years of hands-on experience building, managing, and optimizing either cluster-level Kafka deployments (Confluent preferred) or cloud relational/NoSQL database infrastructure in AWS, with a strong understanding of underlying engine mechanics and performance tuning. * Advanced understanding of cloud networking, including routing, load balancing, VPC design, hybrid connectivity, and service-mesh-based networking - familiarity with multi-cluster service mesh (Istio) and related capabilities is preferred * Proficiency in CI/CD systems, with deep experience in GitLab CI/CD and working knowledge of ArgoCD. * Proven experience deploying, maintaining, and scaling critical cloud infrastructure components in production environments. ** We offer a comprehensive relocation package to support candidates who are moving to join our team. Our goal is to make your transition as smooth as possible, and we provide assistance throughout the whole process. WHAT’S IN IT FOR YOU * Flexibility to work where you thrive – Enjoy the freedom of our Hybrid working model, combining onsite collaboration and remote work, with an additional 25 days per year to work from a city or country of your choice. * Reward for your impact – Receive a competitive total compensation package aligned with Bitpanda’s pay-for-impact policy, including participation in our stock option plan. * Support for your mental wellbeing – Access confidential coaching, counselling, and mental health resources whenever you need them through OpenUP. * Time to recharge – On top of your standard annual leave, Prioritise your wellbeing with 3 additional days of paid time off to rest, reset, and recharge, available once you’ve been with us for 6 months. * Continuous learning and growth – Grow your skills and stay ahead in your career with unlimited access to Udemy’s library of online courses at your own pace. * Exclusive perks and rewards – Enjoy discounts, rewards, and perks from partners worldwide across lifestyle, wellness, tech, and travel. * Support during life milestones – Take advantage of our additional 8 weeks of gender-neutral new parent leave to welcome and bond with your new addition to the family. * Fuel and focus on-site – Pandas in Vienna, Bucharest, Barcelona, and Berlin can enjoy free onsite dining, with freshly prepared lunches and snacks to keep you fueled and focused all day long. * Recognition for your contributions – Celebrate milestones and achievements with recognition and rewards for your Tenure at Bitpanda. * Show your Bitpanda pride – Access exclusive Bitpanda-branded merchandise and gear to represent. * Connect and celebrate with your team – Join unforgettable company events, from our Winter Party in Vienna to gatherings worldwide, fostering fun, connection, and celebration        .…and even more location-specific benefits designed to make life at Bitpanda even more rewarding wherever you are.   Above all, you will have the opportunity to learn and grow as part of Bitpanda’s incredible journey towards being Europe’s future #1 investment platform. BITPANDA IS COMMITTED TO FOSTERING A FAIR AND EQUAL ENVIRONMENT BASED ON TRUST AND MUTUAL RESPECT. WE BELIEVE THAT A DIVERSE AND INCLUSIVE WORKPLACE IS PARAMOUNT TO OUR SUCCESS AND WE ARE COMMITTED TO BUILDING A TEAM THAT REPRESENTS A WIDE VARIETY OF BACKGROUNDS, PERSPECTIVES, AND SKILLS. * THESE BENEFITS MAY BE ADJUSTED AT BITPANDA’S DISCRETION AND DO NOT APPLY TO OUR INTERNSHIPS AND EXCEPTIONS TO OUR HYBRID WORKING POLICY APPLY TO TEAMS WITH SHIFT SCHEDULES OR FOR FOLKS WHOSE ROLES REQUIRE THEM TO BE IN-OFFICE (THINK: WORKPLACES TEAM OR IT).

Elastic

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. WHAT IS THE ROLE We are seeking an exceptional and highly experienced Consulting Architect to join our Global Capability Center. This senior role is critical to the success of our global customers, focusing on the strategic design and hands-on implementation of the Elastic Stack with focus on Search AI. You will serve as a trusted technical architect and consultant, working with complex enterprise environments to translate business challenges into robust, scalable, and value-driven Elastic solutions. The role requires a blend of deep technical expertise, senior-level consulting acumen, and the ability to work effectively across time zones, with both remote support and required on-site client engagement. WHAT YOU WILL BE DOING As a member of our professional services team you will deliver Elastic solutions and Elastic stack expertise to drive customer business value from our products. Work with clients to facilitate strategy, roadmap, design, and sizing in workshops. You will apply your soft skills to advocate for your customers, build relationships and exhibit strong communications skills. Comfortability working remotely or on-site in a highly distributed team. Your activities will include end-to-end delivery of ground-breaking Elastic projects to our customers, as well as development of proof-of-concepts that highlight the value of the Elastic Stack and its solutions. Other topics will include Elastic solutions adaption and acceleration along with data modeling, query development and optimization, cluster tuning and scaling with a focus on fast search and analytics at scale. Daily tasks include driving and handling the objectives, requirements gathering, project tasks, project status, dependencies, and timelines, to ensure engagements are delivered optimally and on time while meeting and exceeding the customer objectives. Your goal is to make your customers love Elastic and achieve amazing value from the platform! Work across teams with engineering, product management, and support teams to identify feature improvements, extensions, and product defects. Facilitate feedback from the field back to the product. Engage with the Elastic Sales team to scope opportunities while assessing technical risks, questions, or concerns. Be a mentor to your team members, while also learning from them to accelerate your skills WHAT YOU BRING Essential Qualifications * Elastic Certification: Required – Active Elastic Certified Engineer certification is mandatory. * Minimum of 7 years as a Consulting Architect or senior IT functional leadership experience * Consulting History: A strong history of working as a Consultant delivering professional services engagements in complex enterprise environments. * Domain Expertise: Proven experience in deploying solutions using Elastic core domain: Enterprise Security / SIEM / SOAR. * Experience in solving complex technical search problems in terms of relevancy, scaling, performance fine-tuning, building a platform to handle high query throughputs and indexing throughput, benchmarking clusters to achieve optimal performance. * Experience in leading and delivering Enterprise Security projects at both the architectural and program level. * Hands-on experience deploying Elastic Security solutions or similar tools (Splunk, Arcsight, IBM QRadar). Alternatively, at least 2 years experience working as a Security Analyst, preferably utilising SIEM or endpoint security applications in a Threat Detection and Response focussed role * Deep understanding of distributed architecture including application, database and systems. * Cloud & Infrastructure: Hands-on experience with on-prem systems and/or major public/private cloud platforms (AWS, Azure, GCP). * Technical Depth: Hands-on experience in Linux, networking, security, containerization (Docker/Kubernetes), and infrastructure automation. * Programming/Scripting: Experience utilizing programming or scripting languages in a corporate environment (e.g., Python, Javascript, Go). * Communication: Exceptional customer advocacy, relationship-building, and soft skills including whiteboarding and driving architectural conversations. Proven ability to lead and articulate technical solutions to stakeholders. * Experience contributing to an open-source project or documentation. * Travel: Ability and willingness to travel to client sites periodically as required for project success (up to 20%)  BONUS POINTS * Any cloud service provider's - Gen AI certification. * Additional Elastic Certifications (e.g., Elastic Certified Analyst, Specializations) and/or specialization in machine learning, data analytics. * Information Security and Cybersecurity certifications * Knowledge of the MITRE ATT&CK framework * Experience working closely with a pre-sales organization in scoping customer needs and delivering against a Statement of Work (SOW). * Experience as a technical instructor or public speaker on enterprise infrastructure software. * Experience contributing to an open-source project or documentation. #LI-AS3 ADDITIONAL INFORMATION - WE TAKE CARE OF OUR PEOPLE As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. * Competitive pay based on the work you do here and not your previous salary * Health coverage for you and your family in many locations * Ability to craft your calendar with flexible locations and schedules for many roles * Generous number of vacation days each year * Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service * Up to 40 hours each year to use toward volunteer projects you love * Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.

Maze

SUMMARY OF THE ROLE: Maze is building an AI-native vulnerability management platform. Our autonomous agents investigate, triage, and remediate security findings the way a senior analyst would, only faster and at scale. As Head of AI, you'll own the intelligence that makes those agents work: the AI research and implementation strategy for the whole company, plus the crown-jewel technical problem underneath it. Our investigation agents run multi-step, non-deterministic trajectories across a toolset of 180+ tools, tested against a ground-truth exploit lab we built for exactly this purpose. Knowing whether they're getting better, and making them better, is the most important technical problem at Maze. It's the heart of this role. This is a hands-on leadership role, not a management layer. You'll set AI direction as a member of the engineering leadership team reporting to the CTO. But you'll spend most of your time building: designing evaluation frameworks for non-deterministic agents, running fine-tuning and model-routing experiments against real data, prototyping new techniques and getting them into the product. You'll lead a small, strong AI team (3–4 engineers today) by setting the technical bar and doing the work alongside them, while working closely with our ML tech lead and the product teams building agents day to day. Your impact comes from what you ship, not the size of your org. We're not looking for someone to run a large team from two layers up. We're looking for someone who wants to define how generative AI transforms cybersecurity and keep their hands on the code. This role suits a deep LLM-era practitioner who has shipped agentic systems to production, can reason about transformer internals and fine-tuning from first principles, and moves fast. We're a three-product company with a lot of surface area, a well-funded Series A (Theory Ventures) behind us, and a Series B on the horizon. The AI foundation you set now becomes the moat we compete on for years — this is a foundational hire whose standards will shape Maze's AI trajectory well past this raise. YOUR CONTRIBUTIONS TO OUR JOURNEY: * Own AI strategy and research direction: Set the technical roadmap for our AI capabilities. Stay ahead of the research curve to find, validate, and prioritise the techniques that differentiate Maze, and turn what's real into a concrete, sequenced roadmap while discarding the hype. * Own agent quality and evaluation: Build and run the frameworks that tell us whether our investigation agents are improving. That means trajectory evaluation, ground-truth scoring against the exploit lab, and end-to-end benchmarks for non-deterministic, multi-step behaviour. This is the core problem of the role. * Build the breakthroughs yourself: Prototype a new technique in days, get it into the product, and measure the impact. You'll spend most of your time hands-on in the codebase, acting as the technical product manager who guides it to production. * Run fine-tuning and model experiments on real data: Own fine-tuning pipelines, context engineering, model migration, and cost/routing optimisation grounded in production data, not proofs of concept. * Guide prioritisation across the AI team: New techniques, papers, and ideas surface constantly. You'll be the filter deciding which of them are actually worth a prototype this week, and which are noise - keeping the team focused on what moves the needle. * Lead a small team by doing: Set technical direction for the AI engineers, raise the bar through pairing and review, hire as we scale, and stay close enough to the work to make the hard architectural calls yourself. * Partner with the CTO and engineering leadership: Turn the AI roadmap into shipped capability, and make sure evaluation is wired into how the whole team builds. * Get in front of customers: Occasional direct customer exposure, translating what security teams need into concrete improvements to the ML pipeline. * Set the pace: Ship prototypes in days, not quarters. Bring urgency to a domain where most of the field still moves slowly. WHAT YOU NEED TO BE SUCCESSFUL: * Hands-on technical leadership: A track record of leading AI work while personally building it. Strategy and implementation. You lead from the front. If you've moved permanently into management and stopped shipping, this isn't the right fit. * Shipped LLM/agentic systems to production: You've built and run generative-AI systems that real customers use, not research prototypes or slideware. You can point to agents or LLM features you put into production and improved over time. * Deep LLM-era technical depth: You can explain transformer architecture, training, fine-tuning (e.g. LoRA), and inference from first principles. We test this directly. A strong pre-LLM ML pedigree (RL, NLP, recommendations, ASR) is valuable but won't substitute for modern generative-AI depth. * Built evaluation frameworks for non-deterministic systems: You've designed and run evals for multi-step, non-deterministic agents: trajectory evaluation, LLM-as-judge, fine-tuning result measurement. This capability is rare and it's the one we most want. It will set you apart. * Top-tier pedigree with a builder's edge: Experience at a leading AI organisation or strong AI-native startup where you raised the technical bar rather than coasted on the brand. * Unambiguous startup signal: You've operated at early stage or built something from zero. You move fast, own outcomes end-to-end, and don't need a large org around you to ship. Founder experience is a strong plus. * Pace and urgency: You ship prototypes in days. You make pragmatic calls on models, cost, and scope to keep momentum, and you're impatient with quarters-long cycles. * Sharp, concise communication: You communicate clearly and tightly in a remote-first, English-speaking team, in writing and live. You get to the point. * Nice to Haves: * Security, vulnerability-management, or adversarial-domain background. Strongly preferred. Every candidate we've rated highly has had it. Offensive security, vuln management, threat detection, or applying AI to security problems all count. * Comfort in front of customers, able to translate agent behaviour and capability into terms a security team understands. * Model cost/routing pragmatism: real experience cutting inference cost and migrating between models in production. * Track record at a successful AI-first startup, scaling a system from experimentation to production impact. * PhD or published work in ML/AI at top-tier venues, paired with real production experience. YOUR FIRST 90 DAYS * Days 1–30: Get fully up to speed on every agent we've built and how our ML evaluation pipeline works today. Start drafting a short, mid, and long-term technical plan. * Days 31–60: Ship something fundamentally new — for example, fine-tune a small model and get it into production. * Days 61–90: Move onto bigger bets — RLHF for specific use cases, scalability of the evaluation approach, and deeper customer-facing model tuning.   THIS ROLE IS NOT FOR: * Manager-of-managers or 2nd/3rd-line leaders who direct rather than build. * Fractional, advisory, or part-time profiles. * Research-only backgrounds without production shipping experience. WHY JOIN US: * The hardest problem in the field, unsolved. Evaluating non-deterministic, multi-step agents against ground truth is an open problem, and we've built the exploit lab and 180+ tool agent infrastructure to attack it. You'd own it, at the intersection of generative AI (LLMs and agents) and cybersecurity. * A team you'll want to be measured against. Founders and engineers from Amazon, Elastic, and Tessian. Hands-on leaders who've been part of multiple acquisitions and an IPO. Most people who join do so because of how strong the team already is. * Build the AI-native company from the ground up. A well-funded Series A (Theory Ventures) with a Series B on the horizon, early enough that you'll set the technical standards for how AI investigates security at scale. * Cybersecurity as a force for good. The work directly helps organisations stop attacks. Measurable impact, real customers, immediate feedback on what you ship. * Founding-level ownership and upside. Significant equity, a seat on engineering leadership, and a path to VP of AI as the team scales around what you build.