Engineering Manager Linux Team Jobs

About Hexnode Hexnode is a global leader in Unified Endpoint Management (UEM), trusted in over 100 countries and managing millions of devices worldwide. With continuous innovation across Apple, Windows, Android, macOS, Linux, and tvOS ecosystems, Hexnode is redefining enterprise mobility and cybersecurity. As we expand our Extended Detection and Response (XDR) capabilities, we are building a next-generation data platform designed for massive scale, real-time intelligence, and high-performance security analytics. The Role We are looking for a Senior Data Platform Engineer to architect, scale, and optimize the core data infrastructure powering our XDR product. In this role, you will take ownership of the strategic evolution of our data layer — ensuring seamless ingestion, storage, indexing, search, and retrieval of high-volume security telemetry and device data. You will play a key role in transforming our platform into a highly scalable, cost-efficient, secure, and analytics-ready ecosystem that supports real-time detection, investigation, and advanced data science workflows. This is a high-impact individual contributor role focused on architecture, platform modernization, and long-term scalability. Key Responsibilities Architect and evolve the data layer to support high-throughput ingestion, real-time processing, and low-latency search across massive datasets. Evaluate existing search and storage platforms and drive modernization initiatives toward more scalable, performant, and cost-effective solutions. Design and implement optimized indexing, partitioning, and data structuring strategies for efficient querying and retrieval. Build and manage scalable data lake architectures that support advanced analytics, threat intelligence, and data science workflows. Define strategies for lifecycle management, retention, tiered storage, and cost optimization across the data platform. Ensure high availability, fault tolerance, and disaster recovery across distributed systems. I

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role Mach Industries is building an AI-forward autonomy stack for contested environments where GPS and other sensing are unavailable or unreliable. As an Embedded Autonomy Engineer, you own the Linux mission computer that manages cameras, sensors, and the autonomy stack in flight. You bring up Jetson-class compute, integrate high-bandwidth cameras and sensors into Linux, and make perception, planning, decision making, and on-edge inference run in real time under real SWaP, thermal, and vibration constraints. This is a role for an exceptional embedded Linux engineer who wants to work up into the autonomy stack, not just maintain boards: kernel and camera/SerDes bring-up, the sensor-to-GPU pipeline, on-target CUDA/TensorRT runtime, and the autonomy software that sits on top. Key Responsibilities Own bring-up and lifecycle of the Linux mission computer: board support packages, device trees, kernel configuration, and bootloaders on NVIDIA Jetson/Tegra and similar SoCs. Integrate high-bandwidth sensors into Linux end to end: MIPI CSI cameras with GMSL/FPD-Link SerDes, V4L2, and ISP tuning, plus radar over PCIe or Ethernet; own time-sync and calibration across the sensor suite. Build and optimize the real-time sensor-to-GPU data path that feeds perce

About Backblaze Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $100m in revenue and is the leading specialized storage cloud - managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. What You'll Do: You will work on our storage platform which supports the B2 Object Storage and Computer Backup products, responsible for reliably storing the customer data. You will develop host-managed SMR support for the storage platform, optimizing for throughput and costs. Responsibilities: Lead technical design discussions and produce clear design documents Drive the implementation on large features Shape coding methodologies and best practices The Right Fit: 10+ years of OOP (Java, Rust, C++, C#, etc) in an enterprise environment, with a heavy focus on backend development Experience building host-managed SMR support for storage systems Experience benchmarking IO performance and resolving bottlenecks Experience building large scale software systems running on thousands of servers Professional experience incorporating AI-assisted development tools (e.g., Gemini, Cursor, Claude Code) Comfortable with all aspects of the software development lifecycle, including design, implementation, testing, and rollout Exhibits curiosity and seeks to understand before offering solutions Communicates proactively in a remote environment by keeping t

Who We Are: At Bandwidth , we shape how the world connects. We're the global communications software company and Tier 1 network operator with global reach. The voice, messaging, and emergency services infrastructure behind the brands and apps you use every day. Because we own the network we build on, the problems you'll solve here are bigger, more complex, and more impactful. And as communications shifts to AI, we're the infrastructure layer making it possible. We call ourselves BANDmates because building something this big takes collaboration, different perspectives, and the freedom to bring your authentic self to the table. We're experts who speak like humans. Ready to build what's next? #JoinTheBand What We Are Looking For: The Sr. IP Network Engineer designs, operates, and continuously improves Bandwidth's global IP network infrastructure. This role owns critical functions across datacenter fabric, WAN routing, and firewall security — and drives the automation initiatives that keep the network reliable at scale. The ideal candidate brings deep hands-on expertise in VxLAN/EVPN datacenter architectures and Palo Alto firewall platforms, combined with a strong foundation in service provider routing protocols. What You'll Do: Design and operate VxLAN/EVPN-based datacenter fabrics across multiple Points of Presence (PoPs), including leaf-spine topology, BGP EVPN control plane, and overlay/underlay integration. Manage and maintain Palo Alto firewall infrastructure, including zone-based policy design, Panorama administration, threat prevention, and security rule lifecycle management. Architect and maintain BGP-based WAN routing across Bandwidth's backbone network, including iBGP/eBGP policy, route manipulation, and prefix management. Troubleshoot complex, multi-layer network issues spanning switching, routing, and security infrastructure. Develop and maintain network automation tooling — including device provisioning, configuration management, and event-driv

About the Role In this role, you will operate, scale, and optimize multi-petabyte storage systems purpose-built for the world’s largest AI training and inference workloads. You’ll manage and scale high-performance parallel filesystems and object stores, evaluate and integrate cutting-edge technologies such as Vast, Weka, Ceph, and Lustre, and solve the complex engineering challenges of operating at extreme throughput, low-latency data paths, and massive cluster-scale storage operations. You will also build Kubernetes-native storage operators and self-service platforms that provide automated provisioning, strict multi-tenancy, performance isolation, and quota enforcement at cluster scale. Day-to-day, you’ll optimize end-to-end data paths for 10-50 GB/s per node, design multi-tier caching architectures, implement intelligent prefetching and model-weight distribution, and tune parallel filesystems for AI workloads. Responsibilities Architect and implement the technical strategy and storage roadmap for Together AI, driving high-performance architectural decisions as we scale our GPU fleet. Engineer and scale multi-petabyte AI/ML storage systems by integrating Vast, Weka, and Ceph while executing deep cost optimization through automated tiering and lifecycle policies. Develop intelligent caching and tiered storage architectures to achieve extreme IOPS and cluster-wide throughput at GPU scale for training and inference workloads. Tune storage isolation at the L2/L3 network layers to ensure secure, production-grade multi-tenancy for storage clients. Code Kubernetes storage operators and controllers to enable automated provisioning, self-service abstractions, and quota enforcement. Engineer end-to-end data paths to achieve 10+ GB/s per GPU node; architect multi-tier caching for model weights and datasets; tune parallel filesystems using advanced profiling; and scale storage infrastructure across thousands of nodes. Optimize end-to-end data paths through advanced

Datadog Sales Engineer 는 고객 및 파트너와의 기회를 검증하고 성사시키는 데 도움을 줍니다. 영업 프레젠테이션, 제품 데모, 기술 평가(POC) 지원을 통해 기술 전문 지식을 제공합니다. Sale Engineer 는 제품 팀과 함께 고객, 경쟁사, 파트너의 의견을 바탕으로 기능의 우선순위를 정하는 데 도움을 줍니다. 또한 다양한 팀과 협력하여 고객의 문제를 해결하고, 버그 문제를 에스컬레이션하며, 브랜드 홍보대사로서의 역할도 수행하게 됩니다. 무한한 잠재력을 지닌 친절하고 열정적인 팀에 합류하고 싶은 분들의 많은 지원 바랍니다! Datadog은 사무실 문화를 통해 구축되는 관계와 협업, 창의성을 중시합니다. 우리는 데이터독 직원들이 자신에게 가장 적합한 일과 삶의 조화를 이룰 수 있도록 하이브리드 업무 환경을 운영하고 있습니다. 담당 업무 영업팀과 협력하여 고객에게 전반적인 Datadog 가치 제안, 비전 및 전략을 명확하게 전달 경쟁력 있는 지식, 기술력 및 신뢰를 구축하기 위해 지속적으로 새로운 기술을 학습 잠재 고객을 대상으로 제품 및 기술 프레젠테이션 제공 제품 팀과 직접 소통하여 기능 요청에 대해 협업 고객의 제품 온보딩을 돕고 장애물이 있을 때 지원 사전 판매 수명 주기 동안 다양한 기술적 과제에 대해 창의적으로 생각 자격 요건 DevOps 모니터링 또는 아키텍처 도구에 대한 지식과 경험이 풍부한 분 외부 고객 또는 내부 팀에게 기술 프레젠테이션/데모를 편안하고 자신감 있게 전달 가능한 분 다양한 문제를 창의적으로 해결하고, 매일 새로운 것을 배우는 것을 즐기는 분 Windows 또는 Linux 시스템 관리 경험 DevSecOps 체계를 직접 구축하고 운영해본 경험 우대 모의 해킹이나 신규 취약점 발견 시 개발팀에 설명하고 함께 대응 방안을 도출해본 경험 우대 고객을 직접 만나기 위한 출장 업무에 익숙한 분 Datadog은 모든 계층의 사람들을 소중히 여깁니다. 모든 사람이 입사 첫날에 위의 모든 자격 요건을 충족하지 못할 수도 있습니다. 괜찮습니다. 기술에 대한 열정이 있고 자신의 역량을 키우고 싶다면 지원하실 것을 권장합니다. 혜택 및 성장 : 최우수한 수준의 온보딩 풍성한 글로벌 혜택 사내 네트워킹을 위한 부서 내 멘토 및 버디 프로그램 신규 채용 우리사주(RSU) 및 직원 주식 매입 계획(ESPP) 지속적인 전문성 개발, 제품 교육 및 커리어 경로 제공 포용적인 기업 문화, 커뮤니티 길드 및 포용성 토크에 참여할 수 있습니다. 위에 나열된 혜택 및 성장은 근무 국가 및 데이터독 고용의 성격에 따라 달라질 수 있습니다. #LI-Hybrid About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employmen

私たちは、Datadogの社内プロダクト・エキスパートです。テクニカル・ソリューション・チームは、潜在的な顧客を教育し、既存の顧客を満足させ、成功させることで、Datadogの世界的な成長を可能にしています。私たちは、デモやプレゼンテーション、技術評価、継続的なサポートを通じて、技術や製品に関する専門知識をお客様と共有しています。テクニカル・ソリューションは、知識を共有し、技術的なスキルセットを継続的に向上させるために絶えず協力し合う、成長中のグローバル・チームです。 Datadogでは、人間関係やコラボレーション、そして創造性といったオフィスカルチャーを大切にしています。Datadogが自分に合ったワーク・ライフ・ハーモニーを実現できるよう、ハイブリッド・ワークプレイスとして運営しています。 業務内容： 複数のチャネル（発券システム、ライブチャット、画面共有ツール）を通じて、プラットフォームの活用方法に関するトレーニングを継続的に実施しつつ、必要な技術サポートを特定し問題解決する 技術的な問題を再現し、Datadogの1000+ 以上のインテグレーションを深堀りする デモ認定資格を取得し、顧客への製品デモをリードする 顧客からのフィードバックに基づき、社内チームとの製品に関するディスカッションに参加する Datadog製品分野の高度な知識を持つスペシャリストとしてトレーニングを実施 Datadogオフィスにて週3日以上勤務 募集要項： SaaS企業でのマルチチャネルテクニカルサポート経験者（関連経験2年以上） Zendesk、Jira、Confluence、または同様のソフトウェアの使用経験 トラブルシューティングやプログラミングの経験を持つエンジニア 自発的で、細部にまで気を配り、継続的に学ぶ意欲のある方 クライアント中心のアプローチをデフォルトとする批判的思考を持つ者 文書および口頭での効果的なコミュニケーション能力 プログラミングの経験があり、Linuxの基本的な知識がある 週末を含むローテーション勤務が可能な方 本ポジションでは、ビジネスレベルまたはネイティブレベルの日本語力（会話および読み書き）が求められます。 Datadogは、さまざまな立場の人々を大切にしています。誰もが初日から上記の資格をすべて満たすわけではないことは理解しています。それでも構いません。テクノロジーに情熱を持ち、スキルを伸ばしたいと思っている方は、ぜひご応募ください。 福利厚生と成長機会： 最高のオンボーディング 継続的な専門能力開発、製品トレーニング、キャリアパスの提供 新入社員への株式付与（RSU / 譲渡制限付株式ユニット）および従業員株式購入制度（ESPP） 社内ネットワーク構築のためのメンターおよびバディ・プログラム インクルーシブな企業文化、コミュニティ・ギルドへの参加機会 幅広く手厚い医療関連の福利厚生制度 企業型確定拠出年金（401K） 上記の内容は、就業する国やDatadogでの雇用内容によって異なる場合があります。 世界中のすべての候補者様にご理解頂けるよう、応募情報に関する項目は一部、英語のままで記載されています。全ての求人情報を英語でご確認されたい場合は、 こちら をご覧ください。 About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog

Datadogのセールス・エンジニアは、顧客やパートナーとの商談を成立させるためのサポートを行います。現状のモニタリング・運用などの体制に課題をかかえ改善していきたいお客様や、Datadogの購入を検討頂いているお客様などにテクニカルデモンストレーション、技術評価（POV）、疑問点・問題点の解決等の提案・サポートを通じて、技術的な専門知識を提供します。セールスエンジニアは、プロダクトチームと連携し、お客様、競合他社、パートナー様からの情報に基づいて機能の優先順位を決める手助けをします。また、様々なチームと連携して、お客様の悩みを解決したり、バグ問題をエスカレーションしたり、当社ブランドのアンバサダーとしての役割も担っていただきます。フレンドリーかつ情熱的で、無限の可能性を秘めたチームに参加したい方は、ぜひご応募ください。 Datadogでは、人間関係やコラボレーション、創造性といったオフィスカルチャーに価値を置いています。Datadogが自分に合ったワーク・ライフ・ハーモニーを実現できるよう、ハイブリッド型ワークプレイスとして運営されています。 業務内容 営業チームと連携し、Datadogのバリュープロポジション、ビジョン、戦略を顧客に明確に伝えること 新しい技術を継続的に学習し、競争力のある知識、技術スキル、信頼性を構築する 潜在的な顧客との製品および技術的なプレゼンテーションの実施 プロダクトチームと直接コミュニケーションを取り、機能リクエストについて協力すること 顧客が製品を使いこなすのを助け、障害に直面したときに支援する プリセールスライフサイクルにおける様々な技術的課題に対してクリエイティブな思考をする 求める経験・スキル DevOpsモニタリングまたはアーキテクチャツールの知識と経験があること 外部顧客または社内チームに対する技術プレゼンテーション/デモの実施に慣れと自信がある方 様々な課題に対してクリエイティブに考えることができる。日々新しい発見がある方 システム管理の経験がある方WindowsまたはLinux Datadogは、様々な立場の人を大切にします。私たちは、誰もが初日から上記の資格をすべて満たすわけではないことを理解しています。それでもかまいません。テクノロジ ーに情熱を持ち、自分のスキルを伸ばしたいと思っている方は、ぜひ応募してください。 福利厚生と入社後の成長 トップクラスのオンボーディング 充実した グローバル の福利厚生 社内ネットワーキングのための部門内メンター＆バディプログラム 新入社員持株会（RSU）と従業員株式購入制度(ESPP) 継続的な専門能力開発、製品トレーニング、キャリアパス構築の機会 包括的な社風で、コミュニティ・ギルドやインクルージョン・トークに参加できる 上記の福利厚生は、雇用される国やDatadogでの雇用形態によって異なる場合があります 。 #LI-Hybrid About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin

About the Role In this role, you will operate, scale, and optimize multi-petabyte storage systems purpose-built for the world’s largest AI training and inference workloads. You’ll manage and scale high-performance parallel filesystems and object stores, evaluate and integrate cutting-edge technologies such as Vast, Weka, Ceph, and Lustre, and solve the complex engineering challenges of operating at extreme throughput, low-latency data paths, and massive cluster-scale storage operations. You will also build Kubernetes-native storage operators and self-service platforms that provide automated provisioning, strict multi-tenancy, performance isolation, and quota enforcement at cluster scale. Day-to-day, you’ll optimize end-to-end data paths for 10-50 GB/s per node, design multi-tier caching architectures, implement intelligent prefetching and model-weight distribution, and tune parallel filesystems for AI workloads. Responsibilities Architect and implement the technical strategy and storage roadmap for Together AI, driving high-performance architectural decisions as we scale our GPU fleet. Engineer and scale multi-petabyte AI/ML storage systems by integrating Vast, Weka, and Ceph while executing deep cost optimization through automated tiering and lifecycle policies. Develop intelligent caching and tiered storage architectures to achieve extreme IOPS and cluster-wide throughput at GPU scale for training and inference workloads. Tune storage isolation at the L2/L3 network layers to ensure secure, production-grade multi-tenancy for storage clients. Code Kubernetes storage operators and controllers to enable automated provisioning, self-service abstractions, and quota enforcement. Engineer end-to-end data paths to achieve 10+ GB/s per GPU node; architect multi-tier caching for model weights and datasets; tune parallel filesystems using advanced profiling; and scale storage infrastructure across thousands of nodes. Optimize end-to-end data paths through advanced

私たちは、Datadogの社内プロダクト・エキスパートです。テクニカル・ソリューション・チームは、潜在的な顧客を教育し、既存の顧客を満足させ、成功させることで、Datadogの世界的な成長を可能にしています。私たちは、デモやプレゼンテーション、技術評価、継続的なサポートを通じて、技術や製品に関する専門知識をお客様と共有しています。テクニカル・ソリューションは、知識を共有し、技術的なスキルセットを継続的に向上させるために絶えず協力し合う、成長中のグローバル・チームです。 Datadogでは、人間関係やコラボレーション、そして創造性といったオフィスカルチャーを大切にしています。Datadogが自分に合ったワーク・ライフ・ハーモニーを実現できるよう、ハイブリッド・ワークプレイスとして運営しています。 業務内容： 複数のチャネル（発券システム、ライブチャット、画面共有ツール）を通じて、プラットフォームの活用方法に関するトレーニングを継続的に実施しつつ、必要な技術サポートを特定し問題解決する 技術的な問題を再現し、Datadogの1000+ 以上のインテグレーションを深堀りする デモ認定資格を取得し、顧客への製品デモをリードする 顧客からのフィードバックに基づき、社内チームとの製品に関するディスカッションに参加する Datadog製品分野の高度な知識を持つスペシャリストとしてトレーニングを実施 Datadogオフィスにて週3日以上勤務 募集要項： SaaS企業でのマルチチャネルテクニカルサポート経験者（関連経験2年以上） Zendesk、Jira、Confluence、または同様のソフトウェアの使用経験 トラブルシューティングやプログラミングの経験を持つエンジニア 自発的で、細部にまで気を配り、継続的に学ぶ意欲のある方 クライアント中心のアプローチをデフォルトとする批判的思考を持つ者 文書および口頭での効果的なコミュニケーション能力 プログラミングの経験があり、Linuxの基本的な知識がある 週末を含むローテーション勤務が可能な方 本ポジションでは、ビジネスレベルまたはネイティブレベルの日本語力（会話および読み書き）が求められます。 Datadogは、さまざまな立場の人々を大切にしています。誰もが初日から上記の資格をすべて満たすわけではないことは理解しています。それでも構いません。テクノロジーに情熱を持ち、スキルを伸ばしたいと思っている方は、ぜひご応募ください。 福利厚生と成長機会： 最高のオンボーディング 継続的な専門能力開発、製品トレーニング、キャリアパスの提供 新入社員への株式付与（RSU / 譲渡制限付株式ユニット）および従業員株式購入制度（ESPP） 社内ネットワーク構築のためのメンターおよびバディ・プログラム インクルーシブな企業文化、コミュニティ・ギルドへの参加機会 幅広く手厚い医療関連の福利厚生制度 企業型確定拠出年金（401K） 上記の内容は、就業する国やDatadogでの雇用内容によって異なる場合があります。 世界中のすべての候補者様にご理解頂けるよう、応募情報に関する項目は一部、英語のままで記載されています。全ての求人情報を英語でご確認されたい場合は、 こちら をご覧ください。 About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog

Upwork Inc.’s (Nasdaq: UPWK) family of companies connects businesses with global, AI-enabled talent across every contingent work type including freelance, fractional, and payrolled. This portfolio includes the Upwork Marketplace, which connects businesses with on-demand access to highly skilled talent across the globe, and Lifted, which provides a purpose-built solution for enterprise organizations to source, contract, manage, and pay talent across the full spectrum of contingent work. From Fortune 100 enterprises to entrepreneurs, businesses rely on Upwork Inc. to find and hire expert talent, leverage AI-powered work solutions, and drive business transformation. With access to professionals spanning more than 10,000 skills across AI & machine learning, software development, sales & marketing, customer support, finance & accounting, and more, the Upwork family of companies enables businesses of all sizes to scale, innovate, and transform their workforces for the age of AI and beyond. Since its founding, Upwork Inc. has facilitated more than $30 billion in total transactions and services as it fulfills its purpose to create opportunity in every era of work. Learn more about the Upwork Marketplace at Upwork.com and follow us on LinkedIn , Facebook , Instagram , TikTok , and X ; and learn more about Lifted at Go-Lifted and follow on LinkedIn . As a Lead Platform Operations Engineer, you’ll build the technical foundation for Upwork’s new international office while helping bring our cloud and Kubernetes infrastructure into one consistent operating model. In your first months, you’ll stand up the office network, take ownership of local technical operations, and act as the on-site technical contact for workplace technology until a dedicated Workplace resource is in place. Over time, your focus shifts to Platform Operations, where you’ll partner with Kubernetes Platform, Reliability Engineering, C

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Kubernetes Platform Engineer (Controllers) Sony Interactive Entertainment At PlayStation, we're leading the revolution in cloud gaming as we push the boundaries of what's possible! Would you like to use your skills, time, and passion for meaningful projects that are building the future? We're looking for a Platform Engineer who enjoys building Kubernetes-native systems and automation that operate reliably at global scale. If you're passionate about software engineering, Kubernetes, and solving challenging distributed systems problems, we'd love to hear from you. Come help us deliver a unique gaming experience to millions of players around the world. Responsibilities Design and develop Kubernetes controllers and operators that automate the lifecycle of platform services. Contribute to the development of our global workload placement system, enabling intelligent scheduling across Kubernetes clusters running in both public cloud and on-premises data centers. Develop Kubernetes APIs and Custom Resource Definitions (CRDs) that provide clean, maintainable interfaces for platform capabilities. Build and maintain reconciliation logic that safely manages distributed system state. Develop controllers and operators that automate provisioning, config

At Jamf, we believe in an open, flexible culture based on respect and trust. Our track record and thriving work environment all stem from the freedom we grant ourselves to get the job done right. We take pride in helping tens of thousands of customers around the globe succeed with Apple. The secret to our success lies in our connectivity, while operating with a high degree of flexibility. Work-life balance remains our priority while feeling connected is important to maintain our strong culture, achieve our goals, and thrive as #OneJamf. What you'll do at Jamf: In this role the Systems Development Engineer II at Jamf is responsible for automation and development of our backend infrastructure that powers the Jamf Cloud that our customers rely on to manage Apple devices in their organizations. This includes providing the internal infrastructure that our Software Development Engineers use to build and deploy Jamf products in the Cloud. You may be required to work periodically at a Jamf office or collaborative work location with other Jamf employees in your area for certain events or moments that matter. What you can expect to do in this role : Develop, deploy, and maintain production environments by identifying and applying automation, tools, and techniques such as Infrastructure as Code, Configuration as Code, Serverless, and Containerization Ensure security best practices are identified and integrated into system designs and configuration Assist in evaluating, planning, configuration, and implementation of new software services Develop custom tools and automation through programming and scripting. Support Software Development by maintaining and scaling our Continuous Integration and Continuous Delivery environment as needed Apply Data Lifecycle Management to sensitive data through backups, permissions management, and auditing Participate in an on-call rotation, triaging and

At Jamf, we believe in an open, flexible culture based on respect and trust. Our track record and thriving work environment all stem from the freedom we grant ourselves to get the job done right. We take pride in helping tens of thousands of customers around the globe succeed with Apple. The secret to our success lies in our connectivity, while operating with a high degree of flexibility. Work-life balance remains our priority while feeling connected is important to maintain our strong culture, achieve our goals, and thrive as #OneJamf. What you'll do at Jamf: In this role the Systems Development Engineer I at Jamf is responsible for automation and development of our backend infrastructure that powers the Jamf Cloud that our customers rely on to manage Apple devices in their organizations. This includes providing the internal infrastructure that our Software Development Engineers use to build and deploy Jamf products in the Cloud. You may be required to work periodically at a Jamf office or collaborative work location with other Jamf employees in your area for certain events or moments that matter. What you can expect to do in this role : Develop, deploy, and maintain production environments by identifying and applying automation, tools, and techniques such as Infrastructure as Code, Configuration as Code, Serverless, and Containerization. Ensure security best practices are identified and integrated into system designs and configuration. Assist in evaluating, planning, configuration, and implementation of new software services. Develop custom tools and automation through programming and scripting. Support Software Development by maintaining and scaling our Continuous Integration and Continuous Delivery environment as needed. Apply Data Lifecycle Management to sensitive data through backups, permissions management, and auditing. Partic

DeepIntent is the leading healthcare marketing platform, purpose-built to help marketers plan, activate, and optimize data-driven campaigns with speed and precision. Trusted by the world’s top healthcare brands and their agencies, DeepIntent uniquely unites media, identity, and real-world clinical data to power privacy-safe, omnichannel marketing across every screen. Backed by patented technology and proven outcomes, DeepIntent’s platform delivers measurable audience quality and script lift at scale. Learn more at www.deepintent.com . What You’ll Do: Play a key role in ensuring product quality, reliability, and performance. Define test strategies, lead automation initiatives. Design and execute manual and automated tests for UI, API, and database layers. Develop and maintain test automation frameworks using Selenium, Playwright, or similar tools. Write, execute, and optimize test scripts integrated with CI/CD pipelines (e.g. Jenkins). Perform API and database validations, analyze logs, debug failures, and report defects clearly. Collaborate closely with developers, product managers, and DevOps for end-to-end quality assurance. Apply strong coding, testing, and problem-solving skills to identify risks and improve test coverage. Who You Are: Bachelor’s degree in engineering (CS / IT) or equivalent degree from a well-known Institute / University. 1+ years of hands-on experience with QA Automation Framework development & Design (Preferred language: Python). Strong understanding of testing methodologies. Experience with Python, Perl, Shell Scripting, Selenium, Test Automation (QA), and Software Testing (QA) (Preferred). Experience in Software Development, SDET (must have). Strong problem analysis, troubleshooting and debugging skills. Experience in databases, preferably MySQL. REST/API testing experience is a plus. Ability to integrate end-to-end tests with CI/CD pipelines and monitor and improve metrics around test coverage. Ability to work in a dynamic and agile de