ID:83897さん

キャリアビジョン


My career vision is to leverage my expertise as a Cyber Security and Principal Systems Engineer to architect secure, resilient infrastructure and drive innovative technological solutions that support complex enterprise environments.

My career vision is driven by the belief that robust, secure, and well-architected systems are the fundamental bedrock of modern organizational success. Here is why this perspective shapes my professional approach: The Intersection of Security and Utility: My background has taught me that technology is only truly valuable when it is both functional and secure. I aim to move beyond simple maintenance to proactively designing systems where security is embedded in the architecture, not treated as an afterthought. Scale and Complexity as a Catalyst: Having navigated large-scale initiatives—such as the migration of over 25,000 devices—I have developed a deep appreciation for the challenges of enterprise environments. I find the process of simplifying complex, sprawling infrastructures into efficient, automated, and secure environments to be both a professional passion and a necessary mission for modern IT. Empowering Organizational Goals: I view the role of a Systems Engineer not just as a technical function, but as a strategic enabler. By architecting resilient foundations, I empower the rest of an organization to pursue its objectives with the confidence that its technical infrastructure is stable, compliant, and capable of scaling. Continuous Evolution: The rapid pace of change in cybersecurity and systems engineering requires a mindset of constant learning. My vision is rooted in the drive to bridge the gap between emerging technology—like infrastructure automation and advanced security tooling—and the practical, high-stakes requirements of a professional enterprise. Ultimately, I want to bridge the gap between complex technical operations and the long-term success of the teams I support, ensuring that technology acts as a force multiplier rather than an obstacle.

プロジェクト経験

2021年/2年以上

Zero Trust & Hypervisor Security for VMware ESXii

Zero Trustフレームワークを設計・実装し、自動化されたエージェントレスデプロイとネットワークセグメンテーションを実現。ZeroLockを用いてVMware ESXi環境を保護し、AI駆動の脅威検知、SSH-MFA、ランサムウェアリスクを軽減するための自動ロールバック機能を構築。 Overview: Designed and executed an end-to-end automated security transformation for hybrid computing estates, targeting bare-metal enclaves and virtualized platform instances. Challenges/Problems: High-density virtualized infrastructure environments were vulnerable to automated lateral movement vectors and ransomware risks, requiring a protection pattern without introducing client- side overhead. Solutions/Technologies Used: Configured an agentless Zero-Trust data micro-segmentation architecture across VMware ESXi endpoints. Deployed ZeroLock for preemptive AI-driven threat mitigation, configured custom SSH-MFA layers, and designed automated system snapshot rollback points via Ansible Playbooks. Map out attack chains natively using BloodHound and SharpHound utilities. Results: Established real-time isolation capabilities for critical compute layers and secured virtualized enclaves with zero performance loss or disruption to live systems.

2021年/2年以上

Enterprise Endpoint Security Automation with AAP and Azure DevOps

Ansible Automation PlatformおよびAzure DevOpsを用いた自動化イニシアチブを主導し、エンタープライズデバイス群に対するエンドポイントセキュリティ運用のエンドツーエンドワークフローパイプラインを構築。GitHub Copilotのエージェントモードによるペアプログラミングをエンジニアリングライフサイクル全体に導入し、IaC開発、スクリプト作成、パイプライン自動化を加速。 Overview: Spearheaded the design, configuration, and deployment of a secure, continuous continuous delivery orchestration framework to automate and govern endpoint security tooling across the enterprise infrastructure footprint[cite: 10]. * Challenges/Problems: Manual configuration management, fragmented software deployment schedules, and legacy validation steps left distributed device networks highly susceptible to security baseline and policy drift, creating severe operational overhead and exposing endpoints to unmitigated threat vectors[cite: 10]. * Solutions/Technologies Used: Directed infrastructure automation initiatives utilizing Ansible Automation Platform (AAP) and Azure DevOps to build end-to-end continuous integration and delivery workflow pipelines[cite: 10]. Developed reusable automation playbooks, engineered custom Python and PowerShell orchestration scripts, and integrated telemetry data loops from Microsoft Defender for Endpoint (MDE) to dynamically track, patch, and harden fleet configurations[cite: 10]. * Results: Replaced resource-heavy manual administration with programmatic pipelines, completely eliminated structural configuration drift across the corporate fleet, minimized delivery friction, and achieved 100% compliance metrics with absolute system stability[cite: 10].

2021年/2年以上

Artifactory-based Artifact Lifecycle Management and Repository Optimization

Artifactoryベースのアーティファクトライフサイクル管理を確立し、デプロイメントツールをソース管理されたバイナリから実行時パッケージ解決方式へ移行。これによりリポジトリサイズを44%削減し、リリースワークフロー全体でのバイナリ差異を排除。 Overview: Designed and executed a comprehensive repository optimization strategy and artifact lifecycle management framework to streamline software distribution and secure the enterprise application supply chain[cite: 10]. * Challenges/Problems: Engineering teams relied on source-controlled legacy binaries, resulting in massive repository bloat, severe binary version drift across testing and production channels, and restricted runtime package execution velocities[cite: 10]. * Solutions/Technologies Used: Architected and deployed a centralized JFrog Artifactory platform and established strict runtime package resolution frameworks[cite: 10]. Built automated migration paths using Python scripts and Azure DevOps pipelines to transition core deployment tooling away from static binaries[cite: 10]. Led the organizational adoption of GitHub Copilot agent-mode programming to accelerate Infrastructure-as-Code (IaC) template generation and pipeline testing metrics[cite: 10]. * Results: Compressed the total repository storage footprint size by 44%, completely eliminated binary configuration drift across production release channels, and minimized software supply chain delivery risks[cite: 10].

2021年/2年以上

Centralized Security Intelligence Platform for Endpoint Telemetry and Compliance

エンドポイントテレメトリ、コンプライアンスモニタリング、運用ツールを統合する集中型セキュリティインテリジェンスプラットフォームを設計・提供。手動ワークフローを自動データ更新パイプライン、API駆動オーケストレーション、バージョン管理されたデプロイメントプロセスに置き換え、エンタープライズ規模で一貫性を向上し作業負荷を削減。 Overview: Designed, developed, and delivered an enterprise-wide centralized security intelligence platform to consolidate endpoint telemetry, compliance tracking, and pipeline performance metrics into a unified operational layer[cite: 5, 10]. * Challenges/Problems: Engineering and security teams relied on resource-heavy, manual configuration verification workflows and disjointed compliance monitoring systems, resulting in delayed visibility into platform vulnerabilities and policy drift across distributed computing estates[cite: 5, 10]. * Solutions/Technologies Used: Engineered an automated data aggregation and orchestration platform powered by API-driven integrations, KQL queries, and live system metric dashboards[cite: 5, 6, 10]. Integrated advanced BloodHound and SharpHound analytics suites to actively map out and remediate vulnerable directory attack paths[cite: 5, 10]. Served as the Lead Strategic Advisor to software development teams to translate telemetry insights into structural baseline hardening actions[cite: 5, 10]. * Results: Completely eliminated manual configuration verification toil, streamlined real-time infrastructure visibility, accelerated root-cause incident analysis, and successfully enforced strict SOC 2, CIS, and PCI hardening profiles[cite: 5, 10].

2021年/2年以上

Enterprise Security Tool Strategy and Incident Reduction

エンタープライズセキュリティツール戦略を統括し、ファイル完全性監視およびWebアプリケーションファイアウォールを活用することでセキュリティインシデントを削減。開発チームの戦略的リードアドバイザーとして、エンタープライズ規模の脆弱性解消に向けたガイダンスを提供。 Overview: Spearheaded the migration and complete architectural overhaul of core software delivery mechanisms and third-party binaries across the enterprise system deployment footprint to eliminate version drift and supply chain risks. Challenges/Problems: Engineering workstreams relied on source-controlled legacy binaries, causing massive repository bloat, binary version drift across release channels, and slow runtime execution velocities. Solutions/Technologies Used: Architected and deployed a centralized Artifactory-based artifact lifecycle management framework. Integrated Python automation scripting, Azure DevOps pipelines, and strict runtime package resolution routines. Led adoption of GitHub Copilot agent-mode programming to accelerate template generation and script testing. Results: Reduced total repository footprint size by 44%, completely eliminated runtime binary drift across production channels, and significantly increased continuous delivery velocity.

2021年/2年以上

AI/ML-driven Threat Detection with Palo Alto IoT and BloodHound Suite

Palo Alto IoT SaaSを用いたAI/ML駆動の脅威検知を推進し、BloodHound/SharpHound/AzureHoundスイートを構築して、重要なActive Directory攻撃パスの分析と是正を実施。

2021年/2年以上

High-priority Security Initiatives and Vendor Selection

高優先度のセキュリティイニシアチブを主導し、ベンダー選定から最終的なプロセスドキュメント化までのライフサイクル全体を管理。Worked with project stakeholders to ensure product success.

2019年/2年以上

Enterprise Mobile Architecture Design and Lifecycle Support

組織全体におけるモバイルハードウェアおよびソフトウェアの戦略的設計、統合、ライフサイクルサポートを定義。Worked with project stakeholders to ensure product success.

2019年/2年以上

Global Mobile Application Deployment Automation with SOTI MobiControl

セキュリティ重視のソリューションを統合するための技術リサーチを主導し、SOTI MobiControl MDMを活用してグローバルなアプリケーションデプロイを自動化。Worked with project stakeholders to ensure product success. Overview: Owned the target-state integration design, software distribution roadmap, and operational maintenance frameworks for hardware and OS endpoints globally. Challenges/Problems: Manual configuration practices and non-standard operating system images on remote mobile endpoints created severe asset tracking variations and unpatched software compliance exposures. Solutions/Technologies Used: Re-engineered fleet patterns by deploying SOTI MobiControl MDM automation architectures. Built custom webhook configuration handlers, standardized core Android OS image configurations, and automated application deployment steps. Results: Replaced manual task arrays with programmatic deployments, guaranteeing 100% uniformity in configuration profiles and compliance tracking benchmarks across global endpoints.

2019年/2年以上

Standardized Android Ecosystem Images for Compliance

標準化されたAndroidエコシステムイメージを設計・構築し、エンタープライズコンプライアンス要件への厳格な準拠を実現。Worked with project stakeholders to ensure product success. Overview: Defined the target-state integration design, software distribution roadmaps, and continuous lifecycle support mechanics for mobile hardware and software structures across global multi-site endpoints[cite: 9, 10]. * Challenges/Problems: Manual configuration practices and non-standard device imaging left distributed Android mobile endpoints vulnerable to operating system variations, unpatched software vulnerabilities, and asset compliance gaps[cite: 9, 10]. * Solutions/Technologies Used: Spearheaded strategic technology research to integrate automated infrastructure solutions[cite: 4, 9]. Automated global application deployment steps and remote configuration rollouts by leveraging SOTI MobiControl MDM[cite: 9, 10]. Engineered standardized underlying Android operating system configurations, automated webhook/API triggers, and enforced strict compliance parameters to insulate release pipelines from delivery variations[cite: 5, 9, 10]. * Results: Replaced resource-heavy manual task arrays with programmatic deployments, guaranteeing 100% uniformity in configuration profiles, eliminating mobile asset drift, and maximizing fleet runtime reliability across all global endpoints[cite: 9, 10].

2014年/2年以上

Retail Point-of-Sale Infrastructure and Engineering Operations

1400以上の小売拠点にわたるPOSインフラおよびエンジニアリング運用を統括。Worked with project stakeholders to ensure product success. Reliability and scalability. Overview: Managed point-of-sale systems engineering operations and environment provisioning strategies across a massive retail compute footprint[cite: 9, 10]. * Challenges/Problems: Executing a large-scale operating system transition across 25,000+ endpoints risked catastrophic operational down-times, severe business disruptions, and delivery variations if massive data scale migrations failed[cite: 9, 10]. * Solutions/Technologies Used: Spearheaded large-scale operating system transitions (Windows 7 to Windows 10) by re-engineering the corporate System Build Process utilizing SCCM orchestration scripting arrays[cite: 9, 10]. Optimized underlying codebase architectures to slash setup runtimes across all new store environment spin-ups, and enforced rigorous system hardening criteria to maintain alignment with CIS and PCI compliance profiles[cite: 9, 10]. * Results: Successfully migrated and provisioned 25,000+ endpoints across 1,400+ distinct operating points with absolute continuity of operational capability and zero downtime to live business workflows[cite: 9, 10].

2014年/2年以上

Enterprise-wide OS Migration and Security Hardening for 25,000+ Devices

25,000台以上のデバイスを対象とした大規模OS移行(Windows 7からWindows 10)とセキュリティハードニングを主導し、ビジネスオペレーションに一切の中断を発生させずに実施。Worked with project stakeholders to ensure product success. Overview: Orchestrated the end-to-end strategy, testing, and rollout of a foundational client operating system transition across all corporate operating points. Challenges/Problems: Migrating a fleet of 25,000+ distributed active devices from Windows 7 to Windows 10 risked severe operational down-times and business disruption if configuration profiles failed during deployment. Solutions/Technologies Used: Completely re-engineered the legacy corporate System Build Process utilizing SCCM orchestration scripting arrays. Wrote custom system automation routines, validated infrastructure capabilities, and enforced rigorous system hardening rules matching CIS and PCI compliance baselines. Results: Successfully migrated 25,000+ endpoints across 1,400 distinct operating points with absolute continuity of capability and zero down-time

2014年/2年以上

System Build Process Re-engineering with SCCM

SCCMを用いてSystem Build Processを再設計し、新規店舗展開時のセットアップ時間を大幅に短縮。Worked with project stakeholders to ensure product success. Overview: Re-engineered the core retail and corporate system build lifecycles, optimizing software deployment standards and automating bare-metal imaging steps across a high-density distributed infrastructure[cite: 9]. * Challenges/Problems: The legacy system build process was reliant on manual intervention and inefficient configuration tracks, which caused prolonged device setup runtimes, deployment bottlenecks, and increased exposure to environment configuration drift during site spin-ups[cite: 9]. * Solutions/Technologies Used: Overhauled the enterprise image provisioning pipeline by constructing advanced SCCM automation and orchestration scripting arrays[cite: 9]. Optimized underlying automated codebase architectures to streamline runtime device configurations and enforced strict, automated protocols to maintain system alignment with CIS and PCI compliance profiles[cite: 9]. * Results: Drastically compressed overall system setup and provisioning times for new store environment rollouts, eliminated manual setup anomalies, and guaranteed a baseline of hardened, uniform endpoints across all operating locations[cite: 9].

2014年/2年以上

Retail Governance for CIS and PCI Standards

CISおよびPCI基準を満たすための厳格なセキュリティプロトコルを確立し、複雑なSDLC手法にもとづき学際的チームをリード。Worked with project stakeholders to ensure product success. Overview: Designed and governed the compliance architecture, system hardening criteria, and security configuration baselines across all retail endpoints and distributed compute systems[cite: 7]. * Challenges/Problems: Maintaining strict compliance alignment across a distributed multi-site network risked configuration drift, leaving critical payment-processing and point-of-sale systems vulnerable to audit failures and security vulnerabilities if hardening policies were manually applied[cite: 7]. * Solutions/Technologies Used: Orchestrated enterprise tool strategy and re-engineered system configuration baselines using SCCM automation arrays and automated configuration management scripts[cite: 7]. Enforced rigorous secure protocols, established automated snapshot rollback points, and actively utilized advanced BloodHound analytics to map out and remediate directory attack paths before audit cycles[cite: 5, 7]. * Results: Successfully insulated the enterprise pipeline from delivery variations, established continuous compliance monitoring with real-time infrastructure visibility, and ensured all distributed endpoints strictly met or exceeded CIS and PCI hardening standards without operational disruption[cite: 5, 7].

2010年/2年以上

SETI Contract Capacity Planning for USCIS

USCIS向けSETI契約においてキャパシティを分析し、200以上のシステムに対するサーバ構成を実施してピークパフォーマンスを確保。Worked with project stakeholders to ensure product success. Overview: Managed system architectures, capacity tracking, and operational engineering for data center assets under a regulated federal computing umbrella. Challenges/Problems: Resource resource caps and system load imbalances on 200+ secure servers under the USCIS SETI contract led to infrastructure latency spikes and configuration drift. Solutions/Technologies Used: Administered multi-enclave VMware ESX environments via vCenter management nodes. Conducted systematic capacity analysis, re-aligned hardware compute pools, and structured a rigorous change governance and incident triaging post-mortem framework. Results: Restored absolute system stability, eliminated resource-driven configuration friction, and reliably satisfied all high-level operational availability SLAs.

2010年/2年以上

Virtualization Architecture Management with VMware ESX and vCenter

複雑なVMware ESX環境を管理し、vCenterを用いた設計およびトラブルシューティングを担当.Worked with project stakeholders to ensure product success. Overview: Managed core server architectures, capacity tracking, and operational engineering for high-density virtualized data center assets under a regulated federal computing umbrella[cite: 1, 6]. * Challenges/Problems: Resource resource caps, system load imbalances, and unoptimized virtualized storage configurations on 200+ secure servers under the USCIS SETI contract led to infrastructure latency spikes, host performance degradation, and configuration drift[cite: 1, 6]. * Solutions/Technologies Used: Administered multi-enclave VMware ESX infrastructure nodes via centralized vCenter management hubs[cite: 1]. Conducted deep-dive troubleshooting configurations, re-aligned hardware compute pools, and optimized storage and network interface integrations[cite: 1]. Structured a rigorous change governance framework, automated cluster provisioning, and established environment documentation matrices to back up disaster recovery exercises[cite: 1]. * Results: Restored absolute system stability, eliminated resource-driven configuration friction, maintained secure deployment design validation baselines, and reliably satisfied all high-level operational availability SLAs[cite: 1, 6].

2009年/2年以上

Tier II Windows Server Administration and Network Troubleshooting

高度なTier II Windows Serverタスク(複雑なビルド、アカウント管理、詳細なネットワークトラブルシューティング)を担当し、非技術系リーダー向けに技術課題を分かりやすく説明しつつ、堅牢なバックアップおよびリストアプロトコルを維持。 Overview: Managed high-level multi-enclave Windows Server administration, core network account structures, and deep-dive enterprise connectivity troubleshooting to optimize secure data exchange across distributed federal agency operational sites[cite: 1, 2]. * Challenges/Problems: System configuration faults, restrictive network access barriers, and complex multi-tier communication failures between secure enclaves risked severe operational latency and downtime for critical federal infrastructure workflows[cite: 1, 2]. * Solutions/Technologies Used: Administered Windows Server infrastructures, managing Active Directory services, user rights parameters, and network access control structures[cite: 1, 2, 6]. Executed deep-dive diagnostics on infrastructure constraints and network routing dependencies to isolate complex system faults[cite: 1, 2, 6]. Translated remediated technical issue profiles into clear, comprehensive written and oral briefings for non-technical program leadership[cite: 1, 2]. * Results: Eliminated persistent cross-enclave communication bottlenecks, ensured absolute continuity of secure data exchange pipelines, and reliably fulfilled high-priority operational availability SLAs[cite: 1, 2, 6].

マネージメント能力

I managed large-scale infrastructure projects, including a 25,000-device OS migration and POS operations for 1,400+ locations, alongside leading cross-functional teams, security initiatives, and staff
My responsibility was to transition legacy infrastructure into a secure, modernized, and stable state. For the 25,000-device OS migration, the objective was to achieve full compliance and operational readiness with minimal business disruption. In POS operations, I ensured high availability and security across 1,400+ locations, maintaining seamless, reliable performance that met all regulations.
Scale Complexity: Managing 25,000+ endpoints risked massive downtime. I solved this by developing a phased deployment strategy and automated verification scripts to catch errors in early batches before a full rollout. Legacy Incompatibility: Older POS systems often failed during updates. I mitigated this by conducting deep-dive testing environments to identify conflicts beforehand, allowing us to patch legacy code without disrupting store operations. By balancing automation with cautious, iterative testing, I ensured high stability while meeting aggressive timelines.

アピール項目


アウトプット

GitHub アカウント
あり
Qiita アカウント
未入力です
Zenn アカウント
未入力です
Speaker Deck アカウント
未入力です
SlideShare アカウント
未入力です
特にアピールしたいアウトプット
未入力です

今後、身につけなければいけないと思っている技術は何ですか?

1. Advanced Cloud-Native Security and DevSecOps Tools What to target: Advanced service meshes (like Istio or Linkerd), cloud-native security posture management (CSPM) platforms, and runtime protection tools (such as Falco or Aqua Security). The Rationale: You already possess strong baseline skills in DevSecOps and cloud integration. As organizations shift further toward microservice architectures, mastering deep container security and continuous compliance frameworks at the container orchestrator layer (Kubernetes) is a natural evolution of your platform security expertise. 2. Next-Generation Identity and Zero Trust Orchestration What to target: Advanced Identity-Aware Proxies (IAP), Decentralized Identity frameworks, and next-generation SASE (Secure Access Service Edge) vendor ecosystems (e.g., advanced integration of Zscaler, Cloudflare One, or Palo Alto Prisma). The Rationale: Because Zero Trust architecture is one of your core competencies, focusing on the future of identity-centric perimeter-less engineering—specifically technologies that unify network security with granular user/device attestation—aligns perfectly with your high-level security focus. 3. A.I. and Machine Learning for Infrastructure & SecOps (AIOps) What to target: Predictive automated scaling, automated threat-hunting models, and AI-driven telemetry analytics platforms (such as Splunk IT Service Intelligence [ITSI] or Datadog AI-driven insights). The Rationale: Building on your Lean Six Sigma Yellow Belt and ITIL v3 foundations of process optimization, acquiring technology that uses AI to predict system failures or automatically remediate drift before it impacts availability is the logical next step for an engineer focused on high-availability, large-scale systems. 4. Policy-as-Code and Advanced GitOps What to target: Open Policy Agent (OPA), Rego, and GitOps deployment tools like ArgoCD or Flux. The Rationale: You are heavily anchored in standard infrastructure-as-code (Ansible, Terraform). Moving into Policy-as-Code allows you to programmatically enforce security, compliance, and corporate governance directly into the pipeline before infrastructure is ever provisioned—furthering your goal of driving automated, secure system architectures.

あなたが一番パフォーマンスを出せるのはどんな環境ですか?

1. Highly Automated and DevSecOps-Driven Environments You thrive in environments that prioritize "infrastructure as code" and modern CI/CD pipelines. An organization that leverages tools like Ansible, Terraform, and Azure DevOps to eliminate manual toil allows you to focus on high-impact architectural design, platform security, and scalable systems engineering. 2. Security-First and Compliance-Focused Cultures Given your deep expertise in federal contracts, enterprise security, and Zero Trust architecture, you excel in environments where security is not an afterthought. You perform best where robust cybersecurity frameworks are integrated directly into the engineering lifecycle, allowing you to design secure system architectures that protect complex infrastructure. 3. Mission-Critical, Large-Scale Enterprise Infrastructure Your 15+ year track record at major organizations like Publix Super Markets and General Dynamics Information Technology proves you are built for scale. You operate at your highest potential when managing complex, high-availability environments—whether it's managing retail desktop engineering at a massive scale, secure mobile infrastructure, or complex cloud integrations. 4. Collaborative, Process-Oriented, and Agile Frameworks Holding certifications in ITIL v3 and a Lean Six Sigma Yellow Belt, you work best in structured environments that value continuous improvement, clear technical roadmaps, and cross-functional collaboration. You succeed where data-driven decisions are made, and operational efficiency is a core engineering metric. 5. Flexible, Results-Oriented Remote or Hybrid Teams As an active-duty military spouse currently navigating international logistics, you perform at your absolute best in cultures that value output and autonomy over a specific physical desk. A remote or hybrid environment with strong asynchronous communication allows you to seamlessly deploy your high-level engineering skills from anywhere in the world.

生成AIの活用状況

日常的な情報収集・業務活用
ChatGPTやGeminiなどのチャットツールを、情報収集、ドキュメント作成、翻訳に日常的に活用
業務でコード補完系の生成AIを活用
GitHub Copilot等のコーディング支援ツール
業務でコード生成、コーディングエージェント系の生成AIを利用
コードレビュー、テストコード生成、デバッグに生成AIを活用
サービス・プロダクトへの応用
既存のサービスやプロダクトに生成AI(API利用など)を組み込み、LangChainやLlamaIndexなどのフレームワークを使った開発経験
生成AIをコアとした開発
生成AIを主要技術としたサービス・プロダクト・機能の企画や、RAGなどの高度な手法を用いた開発経験

キャラクター

直近で一番やりたいこと
その他
好きなスタイル
一人で黙々
どちらかといえば一人で黙々
どちらともいえない
どちらかといえばみんなでワイワイ
みんなでワイワイ
好きな規模
小さい会社
どちらかといえば小さい会社
どちらともいえない
どちらかといえば大きい会社
大きい会社
自信を持って人より秀でていると言える点
企画立案力 / 問題解決力 / 経営判断力
スキルのタイプ
ゼネラリスト
どちらかといえばゼネラリスト
どちらともいえない
どちらかといえばスペシャリスト
スペシャリスト
得意なフェーズ
0 → 1
どちらかといえば0 → 1
どちらともいえない
どちらかといえば10 → 100
10 → 100
会社を選ぶ一番の基準
その他
やりたくない分野
未入力です
その他の特徴
レガシーな環境を改善できる / 3年以内には海外で働きたい
その他のやりたいこと・やりたくないこと
未入力です

やりたい事

手を動かして設計してコードを書きたい
絶対やりたくない
あまりやりたくない
別に普通
やりたい
絶対やりたい
価値あるプロダクトを作り成長させたい
絶対やりたくない
あまりやりたくない
別に普通
やりたい
絶対やりたい
学び続けて技術力でプロダクトに貢献したい
絶対やりたくない
あまりやりたくない
別に普通
やりたい
絶対やりたい
意義があることや社会に貢献できる仕事がしたい
絶対やりたくない
あまりやりたくない
別に普通
やりたい
絶対やりたい
人や計画の調整・マネジメントをしたい
絶対やりたくない
あまりやりたくない
別に普通
やりたい
絶対やりたい
レガシーなシステムの保守・運用・改善をしたい
絶対やりたくない
あまりやりたくない
別に普通
やりたい
絶対やりたい
企画や仕様を考えるところから関わりたい
絶対やりたくない
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やりたい
絶対やりたい
業務効率を改善して一緒に働く人のためになりたい
絶対やりたくない
あまりやりたくない
別に普通
やりたい
絶対やりたい
全社横断的な共通基盤作りや強化をしたい
絶対やりたくない
あまりやりたくない
別に普通
やりたい
絶対やりたい
組織や文化を作る・成長させる仕事をしたい
絶対やりたくない
あまりやりたくない
別に普通
やりたい
絶対やりたい

基本プロフィール

年齢
今年で40代前半
好きなテキストエディタ
VSCode
希望勤務地
神奈川県 / リモート勤務
集まる必要性がない場合は基本リモートが許可される環境が必要
希望年収
未入力
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転職ドラフトを友人や同僚に薦める可能性はどのくらいありますか?