• Work across the full development cycle (design → build → test → deploy → operate) with AI support • Use agents and automations to execute multi-step tasks • Structure inputs (prompts, specs) to guide and control AI • Integrate with engineering tools: Git, CI/CD, observability • Evaluate the quality and safety of AI-generated outputs • Understand the architecture behind generated solutions, not just operate the tools

Role Description We are hiring a Cloud Engineer to help build and operate secure, scalable cloud landing zones as part of the company’s architecture modernization initiative. This role will support the consolidation of fragmented cloud and IT environments into standardized workload zones with shared identity, networking, logging, guardrails, and compliance. The Cloud Engineer will work across multiple cloud hosts in both the Commercial and Government Cloud sectors. This role will help establish the foundation for secure cloud operations, including: - Account/subscription vending - Identity federation - Logging baselines - KMS/key policy standards - Private endpoints - Egress controls - Workload guardrails - Automated evidence collection The ideal candidate is a hands-on cloud engineer with strong infrastructure-as-code experience, security-first thinking, and the ability to partner closely with Security, Network, SRE, IT, and other Engineering teams. This position is remote in the United States. Key Responsibilities - Cloud Landing Zone Design and Implementation: - Design, build, and maintain secure cloud landing zones across AWS and Azure environments. - Implement account and subscription structures that separate workload zones, including commercial workloads, government workloads, Corporate IT, security services, and restricted CUI/ITAR environments. - Build baseline controls for new cloud accounts and subscriptions, including owner tagging, logging, security baselines, routing, encryption, key policies, break-glass review, and monitoring requirements. - Support landing-zone acceptance criteria so new cloud environments are provisioned with required guardrails before workloads are deployed. - Identity, Access, and Privilege Controls: - Implement federated access patterns using SAML/OIDC, IAM Identity Center, Azure Entra ID, or comparable identity platforms. - Support least-privilege access, role lifecycle management, JIT/PIM/PAM workflows, service account controls, and removal of shared accounts. - Help automate credential rotation, secrets management, service account governance, and break-glass monitoring. - Partner with the Security team to ensure privileged cloud activity is authenticated, authorized, logged, reviewed, and tied to approved workflows. - Cloud Security Guardrails and Policy-as-Code: - Implement preventative and detective cloud guardrails using tools such as AWS Organizations, SCPs, AWS Config, Azure Policy, Defender for Cloud, Wiz, Terraform, CloudFormation, Bicep, or similar platforms. - Codify baseline configurations for logging, encryption, network controls, public exposure prevention, security-group rules, storage policies, KMS/key vault use, and workload tagging. - Monitor and remediate drift from approved cloud security baselines. - Support detection and automated response for public admin exposure, cloud policy drift, unapproved data movement, stale credentials, and overly permissive IAM roles. - Cloud Network and Private Access Integration: - Partner with the Network team to implement secure cloud network patterns, including hub-and-spoke networking, transit gateways, vWAN, private endpoints, centralized DNS, private admin paths, and controlled egress. - Ensure cloud workloads are not exposed through unnecessary public interfaces. - Support routing and connectivity decisions for radar telemetry and other cloud workload environments. - Implement cloud-side controls for SASE/ZTNA access, private application access, firewall inspection, flow logging, and route governance. - Telemetry, SIEM, and SOC Enablement: - Integrate cloud logs and security signals into centralized SIEM/SOC workflows. - Onboard and maintain telemetry sources such as CloudTrail, AWS Config, VPC Flow Logs, Azure Activity Logs, NSG Flow Logs, Entra ID logs, KMS/Key Vault events, storage access logs, CSPM findings, vulnerability findings, and workload security events. - Partner with the Security team to build detection use cases for exposed cloud services, privileged access anomalies, credential hygiene drift, data boundary violations, and cloud configuration drift. - Support retention tiers, immutable logging, audit trails, alert evidence, and compliance reporting requirements. - Compliance and Evidence Automation: - Help automate evidence collection for customer and governmental regulatory frameworks. - Create reusable artifacts such as policy exports, IaC repositories, drift reports, access reviews, logging configurations, encryption evidence, SIEM cases, and change records. - Support compliance control areas including access control, identification and authentication, audit and accountability, system and communications protection, configuration management, system integrity, and incident response. - Ensure that compliance evidence is generated from the same systems that enforce security controls, reducing manual artifact collection. - Operations, Documentation, and Cross-Functional Delivery: - Create clear documentation for landing-zone patterns, account vending, guardrails, IAM roles, logging flows, network integration, operational runbooks, and escalation paths. - Participate in architecture decision records, change control, incident response, and modernization planning. - Work with Security, Network, SRE, IT Support, and other Engineering teams to ensure cloud capabilities are operationally supportable. - Help define and execute the cloud modernization backlog across containment, capability buildout, and full modernization phases. Qualifications - Must be eligible to obtain and maintain a U.S. personnel security clearance - 5+ years of hands-on cloud engineering experience in AWS, Azure, or hybrid cloud environments. - Strong experience with AWS and/or Azure core services, including IAM, networking, logging, encryption, storage, compute, security monitoring, and account/subscription management. - Experience building or operating cloud landing zones, multi-account AWS environments, Azure management groups, or similar cloud governance structures. - Hands-on experience with infrastructure-as-code tools such as Terraform, CloudFormation, Bicep, CDK, Ansible, or similar. - Experience implementing cloud security controls, including IAM least privilege, logging baselines, encryption, key management, public exposure prevention, security groups, policy enforcement, and configuration monitoring. - Experience integrating cloud logs or findings into SIEM, SOAR, CSPM, or monitoring platforms. - Working knowledge of cloud networking, including VPC/VNet design, routing, private endpoints, security groups, NACLs/NSGs, flow logs, transit gateways, vWAN, VPNs, and egress controls. - Ability to document cloud designs, implementation plans, runbooks, and compliance evidence. - Strong collaboration skills with security, networking, infrastructure, SRE, and operations teams. Preferred Qualifications - Experience with AWS GovCloud, Azure Government, or other regulated cloud environments. - Experience supporting CUI, ITAR, NIST 800-171, CMMC 2.0 ML2, FedRAMP, or government/customer compliance requirements. - Experience with Microsoft Sentinel, Wiz, Dropzone AI, Defender for Cloud, Security Hub, GuardDuty, Inspector, Macie, or similar platforms. - Experience with SSO, SCIM lifecycle, MFA/FIDO2, PAM/PIM, JIT access, service account vaulting, and automated credential rotation. - Experience building policy-as-code or compliance-as-code frameworks. - Experience creating automated evidence artifacts from cloud control planes, SIEM platforms, CSPM tools, ticketing systems, and IaC pipelines. - Experience with secure data-boundary design, including CUI/ITAR enclaves, KMS/key policies, DLP, retention, immutable logs, and restricted access patterns. - Experience supporting cloud incident response, containment automation, or SOAR playbooks. Perks and Benefits - Global workforce: flexible remote/hybrid opportunities - Work on complex, meaningful missions with real-world impact - Unlimited paid time off for most roles - Competitive salary and equity packages - Comprehensive health, dental, and vision coverage - Access to the forefront of commercial space operations and defense innovation

• Design and implement RAG-based architectures using Azure OpenAI and Azure AI Search • Develop backend APIs and services to support GenAI applications • Architect and deploy Azure serverless solutions (Azure Functions, Logic Apps, Container Apps) • Build scalable data pipelines for indexing, embedding, and retrieval workflows • Implement CI/CD pipelines for AI systems using Azure DevOps or GitHub Actions • Define and implement system architecture ensuring performance, scalability, and high availability • Apply infrastructure as code using Terraform or Bicep • Collaborate with frontend, data, and AI teams to deliver end-to-end GenAI solutions • Enforce security, governance, and compliance best practices

• uczestniczenie w projekcie, związanym z migracją danych do nowszego, zunifikowanego systemu u klienta oraz odtworzeniem logiki na nowym rozwiązaniu • ścisłą współpracę z Klientem (branża Insurance) w skutecznej realizacji jego oczekiwań – doprecyzowywanie wymagań, bieżąca komunikacja • tworzenie i modyfikowanie dokumentacji • analizę i optymalizację rozwiązań dla systemu w eksploatacji lub w trakcie projektowania