--- title: 'Senior Security Engineer at zaimler' canonical: 'https://feeny.ai/job/senior-security-engineer-zaimler-bengaluru-88fze44c7c21' type: 'job' last_seen: '2026-09-08' --- # Senior Security Engineer at zaimler - **Company:** zaimler - **Location:** Bengaluru, India - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-01-20 - **Last confirmed live:** 2026-09-08 - **Apply:** https://jobs.lever.co/zaimler/32f6f84b-96a7-4ac3-9d1a-8403c737312b ## Job description ## About zaimler AI agents can't reason over data they don't understand. Enterprise data today is fragmented across dozens of systems with no shared context, meaning, or structure, and that's why most enterprise AI is failing. The shift from copilots to autonomous agents is creating an entirely new infrastructure layer, and we're building it. zaimler is the context infrastructure for the agentic era: a platform that automatically discovers domain knowledge, maps relationships, and gives AI agents the semantic understanding to operate with precision at scale. Imagine knowledge graphs that support real-time inference, built for systems that need to reason, not just retrieve. zaimler was founded by Biswajit Das (ex-VP Engineering, Truera), a Data Infra veteran and former Chief Architect at Visa, and Sofus Macskassy (ex-Director of Engineering, LinkedIn), who built one of the largest knowledge graphs in production in the industry at LinkedIn. We're growing and deploying with major enterprises across insurance, travel, and technology. If you want to build infrastructure that the next decade of enterprise AI runs on, we'd love to talk. ## The Role We are seeking a Senior Security Engineer to strengthen the security posture of our cloud infrastructure and applications. This role is critical to proactively identifying and reducing risk, automating security controls, building a framework, and ensuring zaimler’s platforms remain secure, resilient, and compliant as the business scales. As a Senior Security Engineer, you will partner closely with DevOps, platform, and application teams to embed security into day-to-day engineering workflows. You will help shift security left, reduce operational risk, and enable teams to move fast without compromising security. What You’ll Do: - Integrated Security: Embed automated security testing (SAST/DAST) into CI/CD pipelines to identify vulnerabilities and their resolution early. - Secure Infrastructure: Implement safeguards across infrastructure-as-code, containers, and cloud environments to minimize risk from misconfigurations or unintended use. - Threat Management: Automate vulnerability scans and real-time threat responses to reduce risks. Participate in the security triage and vulnerability management process. - Compliance: Ensure adherence to standards like SOC 2 or GDPR within DevOps processes. - Efficiency: Automate manual security tasks, accelerate development, and reduce delays caused by late-stage fixes. - Resilience: Build robust defenses against evolving threats with incident response playbooks and threat intelligence. What We’re Looking For: - 5+ years of experience as a Security Engineer or in a similar role with a strong foundation in CI/CD, automation, and cloud infrastructure - Strong understanding of cloud security principles (AWS, GCP, or Azure) - Experience securing CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Jenkins, Harness) - Familiarity with infrastructure-as-code and related security tools - Proficiency in scripting languages (Python, Bash, etc.) - Hands-on experience with container security (e.g., Docker image scanning, Kubernetes best practices) - Knowledge of IAM, secrets management, and secure key handling - Experience with vulnerability scanning, remediation workflows, and risk prioritization. - Ability to identify and mitigate misconfigurations in cloud and IaC environments - Comfortable collaborating with DevOps, platform, and application teams Nice to Have: - Familiarity with compliance frameworks (SOC 2, ISO 27001, NIST, HIPAA, GDPR, etc.) - Experience with security monitoring and incident response processes - Exposure to SIEM or EDR tools - Experience with SAST/DAST and dependency scanning tools - Familiarity with zero-trust networking concepts - Knowledge of threat modeling and risk assessment practices Why zaimler: - Build foundational infrastructure for production-grade AI systems - Work closely with senior engineers and founders - High ownership, real impact, and room to shape how security is done - Early-stage environment with strong technical ambition We value builders over résumés. If this role excites you but you don't check every box, we still want to hear from you. zaimler is an equal opportunity employer. ## About zaimler ## Company Overview - **One-liner**: zaimler provides a unified data context and governance layer that enables enterprises to build deterministic AI agents by curating siloed data into a live, governed ontology. - **Entity Type**: Private (Seed stage; raised $10M) - **Headquarters**: San Mateo, California, USA - **Founded**: 2024 - **Founders**: Not publicly named (described as industry veterans with experience in data infrastructure and ML research) ## Core Business - **Primary industry/industries**: Data Infrastructure & Analytics, Enterprise AI - **Target customers**: B2B – large enterprises in insurance, travel, healthcare, and technology sectors - **Mission or purpose statement**: “Make your data AI ready” – one governed model over existing data, serving every agent, analyst, and application. ## Products & Services - **Platform**: The context and governance layer for agentic AI. Connects sources (ODS, lakehouses, systems of record), maps a unified model, and serves every workload from one foundation. - **Ontology**: Auto-inferred by a semantic analyzer, validated by the team. Reduces ontology-building from quarters to days. - **Explorer**: Natural-language query interface that traces every answer back to its source across all connected systems. - **Governance**: Single control plane for policy, lineage, and audit. Enforces access policies across every source without moving data. ## Market Standing - **Valuation/Market Cap**: Not disclosed (Seed stage, raised $10M) - **Key Metric**: Total funding of $10M (Seed round); signing 7-figure contracts with early enterprise customers. - **Notable Investors/Partners**: Not explicitly named in available sources; investors are likely venture firms (undisclosed). - **Growth Signals**: Team grew from 1 to ~12 employees (+150% YoY according to LinkedIn, though likely undercounted); hiring pace of 3 roles per 90 days; has significant traction with large contracts. ## Competitive Advantages - **Auto-inferred ontology**: Uses semantic analysis to automatically map business concepts, replacing manual, quarter-long ontology builds. - **Sovereign deployment**: Supports VPC, air-gapped, or on-prem deployments – critical for regulated industries. - **Real-time context update**: Changes in source systems are reflected live without data movement. - **Unified governance**: Access policies enforced from a single point of entry across all sources. ## Strategic Focus - **Current priorities**: Scaling the platform to serve more enterprise workloads; expanding go-to-market in insurance, healthcare, and travel verticals; building out the engineering team (Data Infrastructure Engineer, Forward Deployed Engineer, BI Engineer). - **Direction**: Becoming the standard infrastructure layer for agentic AI – enabling autonomous agents to reason over fragmented enterprise data with precision and trust. ## Why Work Here - **Culture**: Lean, high-impact team of 12-50 people with deep expertise in data infrastructure and ML research. Emphasis on solving hard problems for enterprise AI. - **Remote/Hybrid/Office**: Hybrid and on-site options depending on role: - San Mateo, CA – On-site (Data Infrastructure Engineer) - London, UK – Hybrid (Forward Deployed Engineer) - Bengaluru, India – On-site (BI Engineer) - **Notable perks**: Not detailed in sources, but working at an early-stage, well-funded AI infrastructure startup with proven founder pedigree and large customer traction offers significant equity upside and ownership. ## Sources 1. [zaimler.ai](https://zaimler.ai/) 2. [jobs.lever.co/zaimler](https://jobs.lever.co/zaimler) 3. [linkedin.com/company/zaimler](https://linkedin.com/company/zaimler) 4. [builtin.com/company/zaimler](https://builtin.com/company/zaimler) 5. [getclera.com/companies/zaimler-ai](https://www.getclera.com/companies/zaimler-ai) ## Other roles at zaimler - [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-zaimler-london-bmnf4zwdetry) — London, United Kingdom - [Data Infrastructure Engineer (Query Engine)](https://feeny.ai/job/data-infrastructure-engineer-query-engine-zaimler-san-mateo-0v41r43srxm3) — San Mateo, CA - [BI Integration Engineer](https://feeny.ai/job/bi-integration-engineer-zaimler-bengaluru-e17pw5jbaxff) — Bengaluru, India - [Director of Marketing](https://feeny.ai/job/director-of-marketing-zaimler-san-mateo-nw9fjrradncn) — San Mateo, CA - [Head of Product](https://feeny.ai/job/head-of-product-zaimler-san-mateo-fm34fzygn69c) — San Mateo, CA - [Software Engineer in Test](https://feeny.ai/job/software-engineer-in-test-zaimler-bengaluru-vpb8vwf80z2g) — Bengaluru, India - [Full Stack Engineer](https://feeny.ai/job/full-stack-engineer-zaimler-san-mateo-bakhw51wsntp) — San Mateo, CA - [Backend Engineer](https://feeny.ai/job/backend-engineer-zaimler-bengaluru-ddk4wnsf4vkj) — Bengaluru, India - [Cloud Infrastructure Engineer](https://feeny.ai/job/cloud-infrastructure-engineer-zaimler-bengaluru-hmf5pzhkerg9) — Bengaluru, India - [ML Infrastructure Engineer](https://feeny.ai/job/ml-infrastructure-engineer-zaimler-san-mateo-vtjvm5effrqe) — San Mateo, CA