• Develop and Maintain Core Services – Implement and enhance high-quality, scalable microservices that support platform-wide capabilities, ensuring modularity and extensibility. • Collaborate on System Design & Implementation – Work with senior engineers and product managers to translate requirements into well-structured, maintainable, and testable software solutions. • Enhance System Reliability & Observability – Contribute to logging, monitoring, and alerting solutions using Datadog to ensure visibility and proactive issue resolution. • Infrastructure as Code & Cloud Automation – Assist in automating cloud infrastructure management using Terraform, Terragrunt, and CI/CD pipelines. • Improve Engineering Efficiency – Participate in code reviews, advocate for engineering best practices, and contribute to documentation to ensure team-wide knowledge sharing. • Support Operational Excellence – Help troubleshoot and resolve production issues, participate in incident response, and propose solutions for long-term stability and scalability. • Cross-Team Collaboration – Work with product managers, designers, and engineers from other teams to deliver features and platform enhancements that meet business and customer needs.

Role Description We're excited to welcome a talented and passionate Senior Software Engineer to join our highly skilled team. The ideal candidate will hold a deep comprehension of search and recommendations algorithms and infrastructure, including: - Retrieval augmented generation (RAG) - Semantic search using embeddings - Text indexing and retrieval - Query understanding - Various ranking algorithms In your crucial role, you'll be responsible for managing every aspect of our sophisticated enterprise search system, spearheading the design, development, and optimization of search system accuracy and performance. Qualifications - Holds a Masters degree in Computer Science, or a relevant field; PhD a plus. - 5+ years of experience in search, recommendation, or question answering systems. - In-depth knowledge of relevance measurement, tuning, and modeling. - Engineering experience with large language models and RAG systems. - Expertise in Python and/or C++. - Exceptional problem-solving capabilities coupled with meticulous attention to detail. - Outstanding communication skills to explain complex concepts convincingly to non-technical team members. - Abilities to contribute individually while functioning effectively as part of a team. - Familiarity with embedding-based search systems will be considered a major advantage. Requirements - Design, develop, and oversee our enterprise search infrastructure, employing a mix of vector databases, full-text search engine, and relational database techniques. - Understand the user's information needs by developing deep learning-based NLP algorithms to analyze, reformulate, and suggest search queries effectively. - Design, implement, and deploy various ranking algorithms to deliver the most relevant results with the best user experience. - Evaluate and optimize algorithm accuracy by focusing on key metrics. - Constantly track and analyze end-to-end system performance, leading improvement initiatives as required. - Stay informed about the latest industry developments and emerging technologies, aligning our search system with, or advancing it beyond, the industry benchmarks. Benefits - Salary Range: $185,000 to $230,000 USD per year. - This salary range represents the low and high end of the estimated salary range for this position. The actual base salary offered for the role is dependent on several factors. - Our base salary is just one component of our comprehensive total rewards package. Company Description We are in the business of shaping the future of work. Our mission is to make conversations more valuable. - With over 1B meetings transcribed, Otter.ai is the world’s leading tool for meeting transcription, summarization, and collaboration. - Using artificial intelligence, Otter generates real-time automated meeting notes, summaries, and other insights from in-person and virtual meetings - turning meetings into accessible, collaborative, and actionable data that can be shared across teams and organizations. - The company is backed by early investors in Google, DeepMind, Zoom, and Tesla. - Otter.ai is an equal opportunity employer. We proudly celebrate diversity and are committed to building an inclusive and accessible workplace.

Role Description The DLP Engineer T3 is responsible for architecting, implementing, and optimizing comprehensive Data Loss Prevention (DLP) solutions across endpoints, networks, and cloud platforms that enable effective enterprise data protection and compliance operations. This role works closely with the Security Engineering teams, GRC teams, SOC analysts, enterprise IT teams, and client organizations to ensure the reliability, scalability, and operational effectiveness of DLP and CASB security capabilities. - DLP Solution Architecture: Architect and engineer comprehensive DLP solutions across endpoints, networks, and cloud platforms, translating Governance, Risk, and Compliance (GRC) requirements into scalable technical controls for both internal teams and client organizations. - Client Portfolio Management: Serve as technical lead for a diverse portfolio of enterprise clients, ensuring consistent delivery of DLP security capabilities and acting as trusted advisor for data protection strategies. - Multi-Platform Administration: Configure, optimize, and maintain multi-vendor DLP and CASB platforms including Trellix DLP, Microsoft Purview, Zscaler DLP, Netskope, Skyhigh, and CrowdStrike AIDR/Device Control/Data Protection solutions. - Policy & Rules Engineering: Design, implement, and fine-tune DLP rules, policies, and workflows while optimizing configurations to reduce false positives/negatives and ensure effective data protection across the organization. - DLP Automation Development: Develop automation solutions for policy deployment, alert routing, workflow orchestration, and reporting to enhance operational efficiency and reduce manual intervention across DLP platforms. - Client Engagement & Advisory: Act as technical advisor during client engagements, risk assessments, and solution design sessions, providing guidance on DLP strategy, architecture decisions, and tool integration while supporting pre-sales and scoping activities. - Project Leadership: Lead and execute new client engagements and short-term project implementations. - Tier-3 Incident Response: Provide Tier-3 support and hands-on technical assistance during cybersecurity incidents, assisting with investigations, resolution of DLP-related breaches, and configuration changes for both large-scale and localized security events. - Platform Administration: Perform comprehensive system administration including upgrades, patches, performance monitoring, and deployment of agents and extensions to ensure optimal health and scalability of DLP and CASB platforms. - Continuous Improvement & Innovation: Drive innovation by staying current on evolving DLP technologies, threat landscapes, and regulatory changes; recommend enhancements to existing frameworks, and maintain engineering documentation and SOPs. Qualifications - Experience: Minimum of 5–8 years of cybersecurity or security engineering experience supporting enterprise DLP and data protection environments. - Operating Systems Proficiency: Experience with common operating systems including Windows and MacOS in enterprise environments. - DLP Platform Experience: Hands-on configuration, tuning, and operation of multiple cybersecurity tools from vendors such as Microsoft Defender/Purview, Trellix ePO/DLP (SaaS or on-premises), Zscaler DLP, Skyhigh Security CASB/WebGateway, Netskope, DSPM solutions and related data protection platforms. - Agent & Extension Deployment: Experience in deploying, upgrading agents and extensions across enterprise endpoints and infrastructure. - Data Protection Knowledge: Strong understanding of data classification, encryption, and data protection technologies and methodologies. - Analytical & Communication Skills: Excellent analytical, problem-solving, and communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders. - Project Management Abilities: Ability to work independently, prioritize tasks, and manage multiple projects simultaneously across diverse client environments. - Microsoft Certification: Ability to obtain the Microsoft Certification SC-401 (Information Security Administrator Associate) within first 90 days of employment. Requirements - Able and willing to obtain a US Security Clearance. - On-Call Support: Participates in on-call support to assist with security incident response, operational issues, and investigation activities to maintain continuous SOC coverage and response capabilities. Education Requirements - Bachelor’s degree in computer science, information security, or a related field. Will consider experience in lieu of a degree.

• Lead the design of architectures that serve multiple squads. • Write and act as the final reviewer of structural RFCs, anticipating edge cases. • Drive build vs. buy decisions and the adoption of new technologies, including analysis of costs, risks, and long-term impacts. • Diagnose and lead the remediation of systemic issues that affect services. • Lead technical investigations (post-incident) for the most severe incidents, even outside your home squad, proposing structural changes to prevent recurrence. • Address scale and latency bottlenecks that limit growth (e.g., Pix throughput during peak times). • Define technical standards to be adopted across engineering (observability, testing, security, use of databases/Kafka). • Eliminate whole classes of technical debt by creating tooling and abstractions reused by multiple teams. • Mentor engineers and help them reach the next level. • Act as the "glue" between squads: align technical decisions, eliminate duplicated work, and steer teams in the same direction. • Participate in hiring panels for engineering roles, helping to calibrate the technical bar.