• build, mentor, and manage a high-performing, cross-functional team of backend and frontend engineers • collaborate closely with other leaders and stakeholders • champion technical excellence • partner effectively with Product Management and other teams • balance immediate problem-solving with long-term strategic planning • drive cross-team initiatives and projects • take a hands-on approach when needed • attract, hire, and nurture top talent • foster a culture where humans come first

Role Description We are hiring an entrepreneurial Engineering Manager to lead Qualia's Application Security team. This is a builder's role. You won't just run a team - you'll redesign how a modern AppSec function operates when AI can do the first pass on nearly everything we used to do by hand. The team today owns secure design reviews, vulnerability triage, internal penetration testing, incident response support, and security tooling across a JavaScript/NodeJS and Kubernetes stack. Your mandate is to scale that surface area vertically - growing output and coverage per engineer - by making AI-assisted workflows the default. - Automated pen testing pipelines - AI-driven triage of findings from SAST/DAST/SCA - Agentic review of engineering proposals and design docs - Continuous red-teaming exercises that test both our systems and our assumptions You'll partner closely with Platform, Infra, and product engineering leaders to embed security earlier in the development lifecycle, and you'll be the team's voice when we set the security vision for the next two years. Securing that platform - the money, the identities, and the documents flowing through it - is what the Application Security team does every day. We're hiring an Engineering Manager to lead this team into its next chapter: one where AI is a force multiplier for every part of our security program. Responsibilities - Lead and grow the Application Security team - coaching senior AppSec engineers, setting goals, and owning delivery against the security roadmap - Build the automated pen-testing program. Stand up pipelines that run continuous, AI-assisted offensive testing against our services, APIs, and web properties - and turn the output into a triaged, actionable queue - Scale triage with AI. Design the workflows and tooling that let the team handle 10x the volume of findings (bug bounty, scanner output, customer reports) without 10x the headcount - Review engineering proposals. Sit at the front of the design process with engineering leaders across Core, Clear, Shield, Connect, and Atlas - reviewing RFCs and proposals, flagging risk early, and helping teams ship securely by default - Run red-teaming exercises. Drive recurring red team engagements - both internal exercises and coordinated vendor work - and close the loop into detection, response, and product hardening - Own the AppSec vision. Partner with the leadership team to set multi-quarter strategy across anomaly detection, threat modeling, and AI-augmented defense - Fight fires when they happen. Lead incident response from the application security side, and be the person engineering trusts to make the call in the room - Mentor and hire. Recruit strong AppSec engineers, mentor the ones you have, and build a team culture where people are pushed and supported in equal measure Qualifications - 5+ years as a security or full-stack engineer working on production systems, with 2+ years managing a security or platform engineering team - Hands-on depth in application security: threat modeling, code review, and at least one offensive-security discipline (pen testing, red team) - Track record of shipping automation that changed how a team worked - ideally including meaningful use of LLMs, agents, or ML in a security or engineering workflow - Comfort operating across the full security lifecycle: prevention, detection, response, and recovery - Strong written communication. You can write the design doc, the post-mortem, and the board-ready summary - and you can tell a product engineer why their proposal needs to change without shutting down the conversation - Keen product sense and a bias toward measurable impact. You care whether the risk actually went down, not whether a ticket got closed - Experience in fintech, real estate tech, or another regulated, high-liability domain preferred Nice to Have - Background designing or operating anomaly-detection systems on production traffic, auth logs, or financial transactions - Published research, CVEs, or conference talks in AppSec, offensive security, or AI security - Familiarity with the evolving landscape of AI-enabled offense (prompt injection, model abuse, agent exploitation) and defense The Tech Stack You'll Use - JavaScript / NodeJS / Typescript / Meteor - Microservice architecture / Kubernetes Operators - AWS - MongoDB - Modern AppSec tooling: SAST/DAST/SCA and an expanding AI-assisted security automation layer that you'll help build Benefits - Comprehensive health plans - 401k program - Commuter benefits - Professional development - Parental leave - Flexible time off policy - Robust online onboarding program - Biweekly all hands meetings - Variety of internal virtual events

• You lead by example and are willing to work alongside the platforming teams to effect positive change for our platforms • You can guide discussions and balance pros/cons without knowing all the details with a bias to action • You are excited to contribute to our culture of iterative development, team collaboration and our fun, positive, professional, remote-first work environment • This role manages the Admin team focused on authentication, users, tenancy, subscriptions, and roles

Role Description We are looking for an accomplished and forward-thinking Senior Engineering Manager to lead one of our Cloud engineering teams. Reporting to the Director of Cloud Engineering, you will own the day-to-day delivery, quality, and operational excellence of your team's areas, and coach the engineers on your team. You’ll partner closely with Product, peer engineering leadership, and field teams to ship and operate highly reliable services, across Redpanda’s BYOC and Serverless products, and Agentic Data Plane. - Lead and manage a team of engineers working on Redpanda Cloud, including Agentic Data Plane efforts. - Own end-to-end delivery for your team's roadmap: scoping, prioritisation, execution, and on-time, high-quality launches. - Maintain a high bar for operational excellence, including incident response, on-call health, SLOs, and day-2 operations. - Provide regular career development, coaching, and performance feedback that helps engineers level up. - Hire, onboard, and retain top-tier engineers; participate actively in interview loops and calibrations. - Partner with Product Management to shape the team's roadmap and translate product priorities into clear engineering plans. - Surface risks, dependencies, and trade-offs early. - Be data driven to identify what's working and where to invest. - Collaborate with the Customer Success and Solutions Engineering to unblock customers and prioritise our roadmap. Qualifications - 7+ years of experience in software engineering, including building and operating enterprise-grade SaaS platforms. - 3+ years of experience managing highly technical engineering teams, with a track record of delivery. - Expertise in cloud infrastructure and operations, with hands-on experience in public clouds (AWS/GCP/Azure), Kubernetes, and distributed systems. - Familiarity with agentic AI processes, and AI-assisted software development lifecycles. - Experience translating product priorities into team plans and delivering predictably against them. - Eagerness to thrive in a fast-growing, dynamic environment and comfortable working remotely with a distributed team. - Strong verbal and written communication skills and demonstrated technical leadership. - A strong sense of empathy for both customers and teammates, and a commitment to building high-trust teams. Requirements - Golang proficiency or recent hands-on technical experience. - Expertise in Linux systems used to run and operate production-grade services. - Hands-on experience with data streaming platforms, AI/ML infrastructure, databases, or distributed storage systems at scale. - Experience enabling teams to adopt AI code generation tools in ways that measurably improve velocity while maintaining quality. Benefits - U.S. base salary range for this role is $240,000 - $285,000 (CA, NY, WA) and $230,000 - $270,000 (other US locations). - Our salary ranges are determined by role, level, and location. - As a remote-first company, we strive to consider each candidate's job-related skills, location, experience, relevant education or training to determine individual base salary. - Your talent partner will share more about the specific salary range for your preferred location during the hiring process. Company Description Redpanda is pioneering the Agentic Data Plane (ADP) - a new category in AI infrastructure that makes it simple and secure to connect AI agents with enterprise data and systems. Built on a multi-modal data streaming engine, Redpanda empowers agentic applications that reason and act in real-time with speed, autonomy, and precision. - Global leaders including Activision Blizzard, Cisco, Moody's, Texas Instruments, Vodafone and 2 of the top 5 banks in the U.S. rely on Redpanda to process hundreds of terabytes of data a day. - Backed by premier venture investors Lightspeed, GV and Haystack VC, Redpanda is a diverse, people-first organization with teams distributed around the globe.