Careers at Swarmer

Why we exist: Swarmer develops software that makes drones autonomous and allows them to operate together, in large, coordinated teams — no pilots needed. Our technology has been battle-tested in Ukraine— the world’s most intense proving ground for drone warfare. In March 2026, we became the first Ukrainian defense startup to go public on NASDAQ , following a $15M Series A — the largest investment in a Ukrainian defense tech company since the start of the war. Working at Swarmer means operating at the intersection of engineering rigor and frontline reality. The problems and environments are complex, and the stakes are very real. We built this software to enable democratic nations to defend themselves. If you are motivated by building resilient systems that matter and by seeing the direct impact of your work, you’ll find purpose here. What we’re looking for: We're looking for an experienced Cybersecurity Engineer to join our team . You'll be responsible for defending our endpoints, identities, SaaS stack, networks, and cloud environment against the people actively trying to breach them. Product security lives with a separate team, so your focus stays sharp: keep the corporate perimeter tight. This is a builder's role, not a maintainer's. You'll stand up and run our detection stack (SIEM/SOAR, EDR), lock down and manage the device fleet (MDM, hardening), and design identity controls built on ZeroTrust principles (SSO, MFA, ZTNA). You won't be handed a mature security program to babysit. You'll design it, implement it, and operate it, with recognized frameworks as your guardrails and real-world attack patterns as your test cases. What you’ll do: Own and continuously improve our SIEM/SOAR capabilities, including log source onboarding, detection rules and correlation logic, alert tuning, dashboards, automated response workflows, and integration across the security stack Monitor and analyze security events and logs to catch anomalies and potential threats; investigate, contain, and remediate incidents, documenting timelines, root causes, and lessons learned Deploy and manage endpoint and server protection across the fleet (EDR/NGAV, MDM), including policy enforcement, compliance configuration, and hardening baselines (encryption, security policies, benchmarks) Implement and operate identity and Zero Trust access controls, including SSO, MFA, conditional access, ZTNA, device posture checks, RBAC, least privilege, privileged access management, and periodic access reviews Manage vulnerabilities across endpoints, servers, and cloud, with risk-based prioritization and remediation tracking Monitor cloud and SaaS security posture, remediate misconfigurations, and review third-party integrations and access scopes Review infrastructure projects and architecture from a security lens, ensuring secure-by-default configurations Document technical security controls (runbooks, hardening guides) and support internal and external audits What we need: 4+ years of hands-on experience in cybersecurity or IT infrastructure engineering, with a clear specialization in security Hands-on experience with SIEM/SOAR platforms, covering log source integration, detection engineering, alert investigation, and security automation Hands-on experience with EDR/NGAV platforms, covering endpoint policy management, detection, investigation, and response Experience hardening and managing endpoints across Windows, macOS, and Linux, including MDM platforms Experience with identity and Zero Trust access technologies, including SSO, MFA, conditional access, device posture, and ZTNA Solid grasp of networking fundamentals (TCP/IP, DNS, DHCP, VPN), with practical experience configuring firewalls and other network security controls Working knowledge of common attack techniques and how to detect and prevent them Practical familiarity with recognized security frameworks and standards (e.g., CIS, NIST, MITRE ATT&CK) Strong risk-assessment instincts, with the ability to prioritize pragmatically and explain technical issues clearly to non-technical colleagues English proficiency, for documentation, vendors, and external partners Would be an advantage: Scripting ability for automating security and infrastructure tasks (Python, Bash, PowerShell, or SOAR playbooks) Experience with vulnerability management platforms Working knowledge of cloud and SaaS security controls (e.g., CSPM/SSPM) Relevant security certifications Experience working in enterprise or critical-infrastructure environments What you’ll get: Professional growth through working with cutting-edge defense technologies and exposure to international security best practices. Direct impact: your work protects systems that operate in real, high-stakes environments. A fast-paced environment with minimal bureaucracy and no “process for the sake of process”. Competitive salary and a comprehensive benefits package (insurance, paid sick leave, 20 paid days off per year). Benefits of the defense sector (e.g., reservation, etc.). Flexible remote work options where possible. How’s the hiring process going: ✔️ Recruiter Screen → ✔️ Technical Interview → ✔️ Final Interview → ✔️ Security check → ✔️ Offer Ready to Apply?

Why we exist: Swarmer develops software that makes drones autonomous and allows them to operate together, in large, coordinated teams — no pilots needed. Our technology has been battle-tested in Ukraine— the world’s most intense proving ground for drone warfare. In March 2026, we became the first Ukrainian defense startup to go public on NASDAQ , following a $15M Series A — the largest investment in a Ukrainian defense tech company since the start of the war. Working at Swarmer means operating at the intersection of engineering rigor and frontline reality. The problems and environments are complex, and the stakes are very real. We built this software to enable democratic nations to defend themselves. If you are motivated by building resilient systems that matter and by seeing the direct impact of your work, you’ll find purpose here. What we’re looking for: We're looking for an experienced Cybersecurity Engineer to join our team . You'll be responsible for defending our endpoints, identities, SaaS stack, networks, and cloud environment against the people actively trying to breach them. Product security lives with a separate team, so your focus stays sharp: keep the corporate perimeter tight. This is a builder's role, not a maintainer's. You'll stand up and run our detection stack (SIEM/SOAR, EDR), lock down and manage the device fleet (MDM, hardening), and design identity controls built on ZeroTrust principles (SSO, MFA, ZTNA). You won't be handed a mature security program to babysit. You'll design it, implement it, and operate it, with recognized frameworks as your guardrails and real-world attack patterns as your test cases. What you’ll do: Own and continuously improve our SIEM/SOAR capabilities, including log source onboarding, detection rules and correlation logic, alert tuning, dashboards, automated response workflows, and integration across the security stack Monitor and analyze security events and logs to catch anomalies and potential threats; investigate, contain, and remediate incidents, documenting timelines, root causes, and lessons learned Deploy and manage endpoint and server protection across the fleet (EDR/NGAV, MDM), including policy enforcement, compliance configuration, and hardening baselines (encryption, security policies, benchmarks) Implement and operate identity and Zero Trust access controls, including SSO, MFA, conditional access, ZTNA, device posture checks, RBAC, least privilege, privileged access management, and periodic access reviews Manage vulnerabilities across endpoints, servers, and cloud, with risk-based prioritization and remediation tracking Monitor cloud and SaaS security posture, remediate misconfigurations, and review third-party integrations and access scopes Review infrastructure projects and architecture from a security lens, ensuring secure-by-default configurations Document technical security controls (runbooks, hardening guides) and support internal and external audits What we need: 4+ years of hands-on experience in cybersecurity or IT infrastructure engineering, with a clear specialization in security Hands-on experience with SIEM/SOAR platforms, covering log source integration, detection engineering, alert investigation, and security automation Hands-on experience with EDR/NGAV platforms, covering endpoint policy management, detection, investigation, and response Experience hardening and managing endpoints across Windows, macOS, and Linux, including MDM platforms Experience with identity and Zero Trust access technologies, including SSO, MFA, conditional access, device posture, and ZTNA Solid grasp of networking fundamentals (TCP/IP, DNS, DHCP, VPN), with practical experience configuring firewalls and other network security controls Working knowledge of common attack techniques and how to detect and prevent them Practical familiarity with recognized security frameworks and standards (e.g., CIS, NIST, MITRE ATT&CK) Strong risk-assessment instincts, with the ability to prioritize pragmatically and explain technical issues clearly to non-technical colleagues English proficiency, for documentation, vendors, and external partners Would be an advantage: Scripting ability for automating security and infrastructure tasks (Python, Bash, PowerShell, or SOAR playbooks) Experience with vulnerability management platforms Working knowledge of cloud and SaaS security controls (e.g., CSPM/SSPM) Relevant security certifications Experience working in enterprise or critical-infrastructure environments What you’ll get: Professional growth through working with cutting-edge defense technologies and exposure to international security best practices. Direct impact: your work protects systems that operate in real, high-stakes environments. A fast-paced environment with minimal bureaucracy and no “process for the sake of process”. Competitive salary and a comprehensive benefits package (insurance, paid sick leave, 20 paid days off per year). Benefits of the defense sector (e.g., reservation, etc.). Flexible remote work options where possible. How’s the hiring process going: ✔️ Recruiter Screen → ✔️ Technical Interview → ✔️ Final Interview → ✔️ Security check → ✔️ Offer Ready to Apply?

Swarmer develops software that makes drones autonomous and allows them to operate together, in large, coordinated teams — no pilots needed. Our technology has been battle-tested in Ukraine— the world’s most intense proving ground for drone warfare. In March 2026, we became the first Ukrainian defense startup to go public on NASDAQ, following a $15M Series A — the largest investment in a Ukrainian defense tech company since the start of the war. Working at Swarmer means operating at the intersection of engineering rigor and frontline reality. The problems and environments are complex, and the stakes are very real. We built this software to enable democratic nations to defend themselves. If you are motivated by building resilient systems that matter and by seeing the direct impact of your work, you’ll find purpose here. Who we are looking for: We are looking for a hands-on Data Scientist who can own and contribute to existing ML/CV pipelines in a robotics autonomy stack, and who can also own and grow the data side of the house — from collection and labeling through lakes/warehouses to training and evaluation. This is an IC-first role with real ownership: you write code, ship models and data products, and improve the loops that turn flight and simulation data into better autonomy. We are not looking for a pure researcher, a detached platform architect, or someone who only does notebooks. We need someone who can work end-to-end across models, data, and robotics constraints, with strong judgment and delivery discipline. What you’ll do: Own and contribute to existing ML/CV flows in our robotics autonomy and perception stack (LMT, ATR, VISNAV and related systems): training, evaluation, iteration, and integration with onboard/edge pipelines. Design, build, and operate data flows: ingestion from flights and sims, storage (data lakes / warehouses), labeling workflows, dataset versioning, and reproducible training/eval pipelines. Work extensively with simulated data: generate, validate, mix with real flight data, measure sim-to-real gaps, and improve dataset quality for perception and autonomy models. Improve model quality under field constraints: noisy sensors, limited compute, edge deployment (e.g. Jetson), and operational edge cases. Partner closely with robotics, autonomy, and product engineers to ship changes that show up in real missions — not only offline metrics. Build practical tooling and automation that speeds up the team: dataset curation, experiment tracking, evaluation harnesses, AI-assisted workflows. Make pragmatic technical choices: when to retrain, when to fix data, when physics/heuristics beat another model. You’ll be a good fit if you have: Strong hands-on experience as a Data Scientist / ML Engineer working on computer vision, perception, or robotics-related ML. Proven ability to own both model work and data infrastructure (pipelines, lakes/warehouses, dataset management) — not only one side. Experience training and evaluating CV/ML models (detection, tracking, recognition, or similar) and integrating them into real systems. Comfort working with simulated data and hybrid real+sim datasets; awareness of domain gap and how to measure/reduce it. Solid Python and modern ML tooling (PyTorch/TF, experiment tracking, data/ETL basics); ability to write production-quality code, not only prototypes. Fundamentals in math and physics — comfortable reasoning about sensors, geometry, dynamics, and the physical world before defaulting to “let’s train a model.” Experience deploying or preparing models for edge / embedded platforms (e.g. Jetson, Qualcomm) is a strong plus; cloud-only experience is not enough by itself. Real power-user experience with AI engineering tools (Cursor, Claude Code, Codex, or similar) and willingness to use them daily. Upper-Intermediate English or higher. Ability to operate with high ownership in a fast-moving environment: ship, measure, iterate. Would be an advantage: Depth in ATR, object recognition, tracking, or autonomous systems. Experience with robotics, drones, aerospace, or defense / OT environments. Hardware–software integration experience. Building or scaling data platforms for ML teams (lakes, warehouses, feature/dataset stores, labeling ops). Experience closing the loop from field logs → datasets → models → redeployed autonomy. What you’ll get: A chance to shape core autonomy and perception systems at the heart of Ukraine’s defense tech ecosystem and its international expansion Direct impact in a high-stakes industry where security decisions carry real-world consequences Professional growth through cutting-edge defense technologies and exposure to international security best practices Competitive salary, benefits package (insurance, paid sick leaves, 20 paid days off per year) Benefits of the defense sector (reservation, etc.) How’s the hiring process going: ✔️ Recruiter Screen → ✔️ Technical Interview → ✔️ Managerial Interview → ✔️ Final Interview with CEO →✔️ Background check → ✔️Offer Ready to Apply?