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Location: Dhahran, Saudi Arabia Muller's Solutions is seeking an experienced Data Engineer with 5–6 years of experience in designing, developing, and maintaining scalable data solutions. The ideal candidate should possess strong expertise in Python, Pandas, NumPy, Airflow, BigQuery, SQL, and API development . The candidate will play a key role in building robust data pipelines, processing large datasets, and supporting business-critical applications related to inventory optimization, master data management, and backend services. Key Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines for data ingestion and processing. Build and optimize data workflows using Apache Airflow . Develop and maintain data processing solutions using Python , Pandas , and NumPy . Design and optimize complex SQL queries and data models in BigQuery . Develop and integrate APIs to support data exchange between systems. Implement data ingestion frameworks from various internal and external sources. Perform data cleansing, transformation, and validation to ensure data accuracy and consistency. Develop and maintain processes for master data management . Support inventory optimization initiatives by implementing data processing and business logic. Build and maintain backend services that enable data-driven applications. Monitor and troubleshoot data pipelines to ensure reliability and performance. Collaborate with cross-functional teams, including Product, Analytics, and Engineering teams. Ensure adherence to data governance, security, and best practices. Requirements Technical Requirements Must-Have Skills 5–6 years of experience in Data Engineering or related roles. Strong hands-on experience with: Python Pandas NumPy Apache Airflow Google BigQuery SQL API development and integration Experience in designing and implementing scalable ETL/ELT pipelines . Strong understanding of data modeling, data transformation, and database concepts. Experience working with large-scale datasets and optimizing query performance. Proficiency with version control systems such as Git . Good-to-Have Skills Experience with PySpark and distributed data processing. Basic understanding of Machine Learning concepts and workflows . Familiarity with data quality frameworks and data validation practices. Experience with Docker and containerization technologies. Knowledge of CI/CD pipelines and DevOps practices. Experience working in cloud-based data environments. Preferred Qualifications Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Experience working on enterprise-scale data platforms and data-driven applications.

adjoe builds technologies behind mobile apps growth and monetization, leading in rewarded advertising with their product Playtime Arcade, connecting advertisers and publishers with over 770 million users annually. The Cloud Engineering team is responsible for the infrastructure supporting 5.5 billion daily ad requests, ensuring systems stay online, performant, and cost-efficient. They handle 400 million user events daily, traffic spikes of 150,000+ requests per second, and maintain a data lake for data scientists, BI, and real-time ML inference. The team runs Kubernetes with event-driven autoscaling and Karpenter, manages Kafka clusters for real-time streaming, and provisions infrastructure through Terraform. They prefer open-source alternatives over managed AWS services, using tools like Druid, Airflow, Grafana, Prometheus, Spark, Trino, MLFlow, Jupiter Hub, Elasticsearch, and Fluentbit to maintain a cloud-agnostic architecture. Cost efficiency is a key engineering constraint, including AI-based anomaly detection on infrastructure costs. Requirements: — 3+ years in DevOps, SRE, or Platform Engineering. — Experience designing and operating cloud infrastructure at scale. — Hands-on experience deploying and managing containerized applications in Kubernetes. — Experience with Kafka, Druid, Airflow, Spark, Terraform, and Gitlab on Kubernetes clusters. — Strong understanding of AWS services including EKS, DynamoDB, SNS, SQS, IAM, Lambda. — Infrastructure as code expertise with Terraform. — Knowledge of tradeoffs between managed AWS services and open-source alternatives. — Familiarity with microservice event-driven architecture, including topics, queues, and object storage. — Ability to support backend teams building high-performance Go services in distributed environments. — Experience building reliable, fast, predictable, and low-maintenance CI/CD pipelines. — Comfortable migrating workloads to self-hosted solutions and introducing new infrastructure tools. Relocation support to Hamburg, Germany is provided for candidates worldwide ready to join the team. Benefits: — Work on impactful infrastructure reaching hundreds of millions of users and powering billions of decisions daily. — Ownership of projects affecting 770 million users. — Fast-paced environment with multiple daily solution deployments. — Open problem solving and cross-team collaboration. — Diverse global team from over 40 countries. — Positive work culture celebrating wins and daily victories.

adjoe builds technologies behind mobile apps growth and monetization, leading in rewarded advertising with their product Playtime Arcade, connecting advertisers and publishers with over 770 million users annually. The Cloud Engineering team is responsible for the infrastructure supporting 5.5 billion daily ad requests, ensuring systems stay online, performant, and cost-efficient. They handle 400 million user events daily, traffic spikes of 150,000+ requests per second, and maintain a data lake for data scientists, BI, and real-time ML inference. The team runs Kubernetes with event-driven autoscaling and Karpenter, manages Kafka clusters for real-time streaming, and provisions infrastructure through Terraform. They prefer open-source alternatives over managed AWS services, using tools like Druid, Airflow, Grafana, Prometheus, Spark, Trino, MLFlow, Jupiter Hub, Elasticsearch, and Fluentbit to maintain a cloud-agnostic architecture. Cost efficiency is a key engineering constraint, including AI-based anomaly detection on infrastructure costs. Requirements: — 3+ years in DevOps, SRE, or Platform Engineering. — Experience designing and operating cloud infrastructure at scale. — Hands-on experience deploying and managing containerized applications in Kubernetes. — Experience with Kafka, Druid, Airflow, Spark, Terraform, and Gitlab on Kubernetes clusters. — Strong understanding of AWS services including EKS, DynamoDB, SNS, SQS, IAM, Lambda. — Infrastructure as code expertise with Terraform. — Knowledge of tradeoffs between managed AWS services and open-source alternatives. — Familiarity with microservice event-driven architecture, including topics, queues, and object storage. — Ability to support backend teams building high-performance Go services in distributed environments. — Experience building reliable, fast, predictable, and low-maintenance CI/CD pipelines. — Comfortable migrating workloads to self-hosted solutions and introducing new infrastructure tools. Relocation support to Hamburg, Germany is provided for candidates worldwide ready to join the team. Benefits: — Work on impactful infrastructure reaching hundreds of millions of users and powering billions of decisions daily. — Ownership of projects affecting 770 million users. — Fast-paced environment with multiple daily solution deployments. — Open problem solving and cross-team collaboration. — Diverse global team from over 40 countries. — Positive work culture celebrating wins and daily victories.

Location: Munich, Germany; Berlin, Germany What client look for: You design, build, and optimize scalable data pipelines and architectures that form the foundation for analytics and AI solutions. You ensure that data from various sources is efficiently integrated, transformed, and made available for business and analytics use cases. You collaborate closely with Data Scientists, Consultants, and Product Owners to deliver end-to-end data solutions with measurable business impact. You develop and maintain ETL/ELT processes that ensure data quality, reliability, and performance. You take ownership of cloud-based data infrastructures (Azure, AWS, or GCP) and contribute to their continuous improvement. You leverage containerization and workflow tools (e.g. Docker, Airflow) to build robust, automated, and reproducible systems. You develop solutions with a clear end-to-end mindset, from raw data ingestion to production deployment. You actively contribute to the evolution of our data strategy, tooling, and best practices within Client. Requirements What the client requires: You hold a degree with excellent grades in Computer Science, Data Engineering, Information Systems, Mathematics, Physics, or a related field. You have strong experience in Python and SQL as foundational tools for data integration, transformation, and automation. You have hands-on experience in building and managing ETL/ELT pipelines and data workflows. You are experienced with cloud environments (preferably Azure, alternatively AWS or GCP). You are familiar with containerization and workflow orchestration tools such as Docker and Airflow. You have experience with Infrastructure as Code (e.g. Terraform) to manage scalable, reproducible setups. You understand data lakes, data warehouses, and streaming technologies (e.g. Kafka, Kinesis). You ideally have experience with distributed processing systems like Spark, Snowflake, or Databricks. You ensure data quality, observability, and monitoring as integral parts of your solutions. You enjoy cross-functional collaboration with Data Scientists, Product Owners, and clients. You are a service-oriented and communicative team player with a high degree of self-responsibility and passion for your work. You have strong communication and presentation skills, and can explain complex topics clearly. You speak English fluently; regional languages are an advantage. Benefits What you can expect: Your impact is crucial : You actively shape the digital future in a highly motivated & smart team in direct cooperation with the founders & partners, creating real added value by linking strategy and implementation. Your hard work pays off! You benefit from attractive salary packages, participation in sales success, and exclusive investment opportunities. In addition, we promote our top talents through the 'Digital Leaders of Tomorrow' program and thus offer you further exciting benefits. Your development: From day one, you will be supported on your journey through a wide range of development opportunities, quickly take on responsibility, and have the opportunity to shape your individual career at the company. You will become a digital leader! Your working environment: You will be immersed in a diverse and family-friendly environment with a strong team spirit, benefitting from a flexible and hybrid working model in one of our offices in Munich, London, Amsterdam, Milan, and Berlin. Your view into the future: You will work at the cutting edge and gain valuable insights and practical experience with a focus on digital business models and data-driven value creation in eight forward-looking industries. Your benefits on top: You can look forward to regular team events and joint sports sessions, an attractive company pension scheme, access to local fitness and wellness partnerships, as well as mobility and meal allowances, and a wide range of other company benefits.

Location: Berlin, Germany Workplace: hybrid Berlin • Cybersecurity & AI Startup • Recently Funded A newly funded cybersecurity startup in Berlin is looking for a Engineering Team Lead to join as a founding team member and help design the core security, identity, and enforcement foundations of a next-generation AI-powered risk management platform. We are an early-stage startup founded by experienced cybersecurity leaders with backgrounds in Israeli intelligence units. We are looking for a hands-on Founding Engineering Team Lead for a hybrid role based in central Berlin. If you are passionate about cybersecurity and AI, thrive in fast-paced startup environments, and enjoy building complex platforms from the ground up, this is an opportunity to make a real impact. They’re building a next-generation cyber risk platform that helps enterprises understand, measure, and reduce identity risk at scale. Their goal is to turn complex identity and security data into clear, actionable risk insights that CISOs and CTOs can trust. You will work from scratch on core platform components from day one, shaping how modern enterprises manage and reason about risk using cloud-native systems, AI-driven analysis, and automated enforcement through AI agents. Key Responsibilities: Lead and grow a small, high-performing engineering team while remaining hands-on Design, build, and review production backend and platform code alongside the team Own delivery of the engineering roadmap , balancing speed, quality, and security Act as a technical leader by setting architecture direction and enforcing engineering standards Contribute directly to critical features, integrations, and platform foundations Establish lightweight engineering processes that enable fast execution without bureaucracy Mentor engineers through code reviews , pairing, and technical guidance Contribute hands-on in design and build architecture, configure systems, code 70% of the time in GoLang. Remove blockers and unblock delivery across backend, frontend, data, and DevOps Collaborate closely with CEO, CPTO, and product leadership on technical and execution decisions Support hiring , onboarding, and technical evaluation of engineers Foster a culture of ownership, pragmatism, and low ego Build whole Security platform setup from scratch Partner closely with backend and AI engineers to design secure service boundaries and deployment models Troubleshoot and resolve complex production incidents across infrastructure, networking, and application layers Build PoCs and validate infrastructure and security design decisions in an early-stage environment Support compliance readiness by enabling controls, logging, and evidence collection for security frameworks Continuously improve platform cost efficiency , reliability, and operational maturity This role reports directly to CEO & CPTO Must have skills 10+ years of professional software engineering experience 3+ years of experience leading engineering teams while remaining hands-on 3+ years of GoLang experience 3+ years experience with AWS in production environments Strong code quality bar and experience with architectural reviews Ability to context-switch between technical topics and people leadership Strong execution mindset and comfort operating under ambiguity Hands-on coding mentality; can build things from scratch including security architecture yourself Hands-on experience with Docker, Kubernetes (EKS) and containerized workloads Experience with CI/CD pipelines (GitHub Actions or similar) Experience with monitoring, logging, observability (Grafana, OpenTelemetry, Prometheus) Experience with Coding CoPilots (Claude Code, GitHub Copilot, AWS CodeWhisperer, Codex, etc.) Knowledge of Experience supporting production SaaS platforms High ownership mentality, startup mindset, and ability to move quickly Experience in startup or scale-up environments Low ego, high commitment, and a true tech startup mentality Excellent English communication skills Nice-to-have requirements Previous experience as a founding or early-stage Engineering Manager Experience in cybersecurity , identity, or enterprise SaaS platforms Exposure to DevOps, SRE, or data engineering Experience scaling teams and systems simultaneously Experience with security architecture, identity security, or security engineering Familiarity with compliance frameworks (NIS2, DORA, ISO 27001, SOC 2) Understanding of OAuth/OIDC, API tokens, IdP, scopes, SSO, SCIM, roles, RBAC/ABAC, service accounts Familiarity with cloud identity and security controls (e.g. IAM, CloudTrail, Azure Active Directory / Entra ID ) Hands-on with SIEM platforms such as Splunk, Microsoft Sentinel, or IBM QRadar Experience designing permission models, identity graphs, or access control frameworks Knowledge of tokenization, Zero Trust principles , least privilege, and continuous verification Experience with Security related to AI/LLM systems, agent logic, or willingness to learn fast Familiarity with AI agent behavior , LLM security, or agent sandboxing Previous experience in cybersecurity , identity startups You are a fan of rock or metal music Excellent German communication skills Benefits Founding Team Member Equity — ESOPs in a well funded cybersecurity company. Competitive Compensation — salary aligned with market, flexible early-stage arrangements possible. Founding Team Member Status — shape the company from day one and own critical security technical decisions. Fresh Funding Secured — immediate runway to build, hire, and execute fast. Security Contribution — contribute to security tech architecture across identity, AI agents, and enforcement. High Autonomy — freedom to design and build without corporate overhead. Work with a Technical CEO and CPTO — fast iteration, strong alignment, clear direction. Cutting-Edge Domain — identity security, SaaS-to-SaaS access, AI agent governance. Massive Learning Curve — quickly gain depth in cybersecurity, identity, and AI systems. Fast Career Path — opportunity evolve into higher leadership as we scale the engineering team Berlin Location — top-tier tech environment with strong cybersecurity and AI ecosystems. Direct Impact — your architecture and code become the foundation of the entire platform. Best Equipment and Tools - High quality equipment and modern tools to help you do your best work from day one. Team Offsites - Regular team offsites designed to build strong connections, alignment, and shared momentum.

About Mistral: At Mistral AI, we develop AI technology to simplify tasks, enhance learning and creativity, integrating seamlessly into daily work life. We offer high-performance, optimized, open-source AI models and solutions for enterprise needs on-premises or in cloud. Our AI assistant product is le Chat. Our teams are distributed across France, USA, UK, Germany, and Singapore. Role Summary: Seeking an experienced product manager to define and execute strategy for Forge, a product enabling customers to build, fine-tune, and deploy custom AI models at scale. Forge powers model fine-tuning, reinforcement learning, and post-training workflows, translating research into enterprise-ready solutions. Responsibilities: — Define and evangelize product strategy for Forge aligned with company goals and market opportunities — Lead market and UX research to identify unmet needs and trends in AI post-training capabilities — Own product lifecycle from ideation to launch and iteration, balancing speed, quality, and user experience — Collaborate with design and research to create intuitive, impactful user experiences using data and feedback — Work with marketing and sales on go-to-market strategies including pricing, positioning, and adoption — Align engineering, design, and business teams on priorities, trade-offs, and timelines — Maintain a dynamic roadmap delivering quick wins and long-term goals Requirements: — 5+ years product management experience in fast-paced, ambiguous environments with AI/ML or infrastructure solutions — Strong understanding of AI training pipelines, reinforcement learning loops, and model deployment architectures — Expertise in AI model lifecycle management including fine-tuning, evaluation, and serving — Experience with Infrastructure as Code, containerization, scalable deployment (on-prem, VPC, cloud) — Familiarity with Kubernetes/Slurm is a strong plus — User-focused with data-driven problem solving — Proven cross-functional influence without direct authority — Strong communication skills to explain complex technical concepts clearly — Adaptability to dynamic priorities — Collaborative, low ego, high emotional intelligence — Self-directed with ownership of outcomes Preferred: — Strong knowledge of model training and architectures — Proficient coding skills recommended — Kubernetes expertise recommended — Experience with product-led growth strategies — Founder or early-stage PM experience — Ability to prototype or dive into code Location & Work Format: — Based in Paris, France or London, UK offices — Remote work possible from France, UK, Germany, Belgium, Netherlands, Spain, Italy — Encouraged to work in office at least 3 days per week Conditions: — Competitive salary and equity (stock options) — Health insurance — Transportation allowance — Sport allowance — Meal vouchers — Private pension plan — Generous parental leave — Visa sponsorship

Location: London, UK Workplace: Hybrid Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. Who You Are You are a DevOps engineer with software development background who likes working on everything that helps to improve the quality of life for your team and providing your expertise in creating a performant CI/CD stack to boost the code development/build process. What You’ll Do - Collaborate closely with our engineering team to help them be more productive by improving development tools. - Maintain a strong connection to the product and remain comfortable engaging in direct feature development - You will take ownership of CI/CD stack, keeping it robust, observable, stable, and performant. - Research, implement, and develop tools to help developers write new code. - Ensure the CI/CD infrastructure and process is reliable and consistent. What we’re looking for - Solid background in Linux. - Experience in CI/CD stack development and maintenance. - Working proficiency with Ruby, Javascript or Python. - Knowledge of AWS technologies (EC2, load balancing, auto-scaling, IAM, S3, Route53, etc.). - Telemetry and monitoring experience (OpenTelemetry, Grafana, Kibana). - Experience with containerization (Docker, Kubernetes, etc). What we’d be particularly excited about - Experience with CI build time optimization especially with Jenkins, Rspec and Cypress/Playwright. - Familiarity with databases like MongoDB and/or ClickHouse. - Experience with build systems like Webpack, Gradle, etc. - Proficiency with the CI tools like Jenkins, TeamCity, etc. What you’ll learn: - You’ll learn about the Ruby language and the Rails framework since it’s used in many aspects of our projects and tools. - You’ll gain deep insights into infrastructure automation using technologies such as Ansible and Terraform since they are central to our deployment strategies. Blog Posts Read more about some of our Technical challenges here (written by members of our engineering team): https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers   About Sensor Tower Sensor Tower is a global provider of digital intelligence solutions, empowering companies to understand consumer behavior and market performance across mobile apps, digital platforms, and gaming ecosystems. Headquartered in San Francisco, Sensor Tower's insights are trusted by more than 2,500 enterprises worldwide. Founded in 2013, Sensor Tower’s market insights have helped marketers, app developers, and gaming leaders demystify the mobile app ecosystem with visibility into usage, engagement, and paid acquisition strategies. Today, Sensor Tower’s digital market insights platform has expanded to include Gaming, Web, Audience, and Digital Advertising Insights, helping global leaders understand market trends and their competitor’s strategies and audiences across the entire digital ecosystem. Why Sensor Tower? Our flexible work environment allows employees to live in greater connection with the people, places, and activities they love! GLOBAL TEAMS Sensor Tower has a global presence, with teams across the world and available in most time zones, including North America, Europe, Middle East, Africa, APAC and LATAM. We maintain regional offices in SF, LA, NY, London, Singapore, Beijing, Seoul, Tokyo and Vancouver. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, and veteran status. We will consider qualified applicants with arrest and conviction records. If you have a disability or special need, please do not hesitate to let us know and we'll do our best to accommodate. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Petten, Netherlands; Pondicherry, India; Aachen, Germany; Abidjan, Côte d'Ivoire; Abu Dhabi, United Arab Emirates; Ahmedabad, India; Berat, Albania; Alexandria, Egypt; Algiers, Algeria; Alkmaar, Netherlands; Almaty, Kazakhstan; Amersfoort, Netherlands; Amman, Jordan; Amsterdam, Netherlands; Antalya, Türkiye; Astana, Kazakhstan; Asunción, Paraguay; Athens, Greece; Atlanta, United States; Augsburg, Germany; Austin, United States; Aya Napa, Cyprus; Bad Homburg, Germany; Baden-Baden, Germany; Baku, Azerbaijan; Bangkok, Thailand; Barcelona, Spain; Batumi, Georgia; Belgrade, Serbia; Bergisch Gladbach, Germany; Berlin, Germany; Bernau, Germany; Bielefeld, Germany; Birmingham, United Kingdom; Bishkek, Kyrgyzstan; Boca Raton, United States; Bolzano, Italy; Bordeaux, France; Boston, United States; Bramsche, Germany; Bratislava, Slovakia; Bromolla, Sweden; Brussels, Belgium; Bryanston, South Africa; Bucharest, Romania; Bucuresti, Romania; Budapest, Hungary; Buenos Aires, Argentina; Cairo, Egypt; Cape Town, South Africa; Cebu City, Philippines; Chemnitz, Germany; Chicago, United States; Santiago, Chile; Beijing, China; Chișinău, Moldova, Republic of; Bogota, Colombia; Colombo, Sri Lanka; Columbus, United States; Copenhagen, Denmark; Costa Rica; Havana, Cuba; Dakar, Senegal; Dallas, United States; Dammam, Saudi Arabia; Darmstadt, Germany; Davao City, Philippines; Delhi, India; Detroit, United States; Mirpur, Bangladesh; Djibouti; Dnipro, Ukraine; Douala, Cameroon; Dresden, Germany; Dubai, United Arab Emirates; Dublin, Ireland; Dusseldorf, Germany; Düsseldorf, Germany; Guayaquil, Ecuador; Emmen, Switzerland; London, United Kingdom; Erevan, Armenia; Essen, Germany; Fatorda, India; Helsinki, Finland; Florida City, United States; Frankfurt, Germany; Freiburg, Germany; Gatineau, Canada; Geoergsmarienhütte, Germany; Görlizt, Germany; Göttingen, Germany; Greifswald, Germany; Grenoble, France; Guadalajara, Mexico; Guatemala Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Continuous Integration & Verification Infrastructure Engineer to join one of our clients' teams. If you're looking for an exciting opportunity to work in a highly technical and innovative environment, this could be the perfect fit for you. Key Responsibilities Set up a Continuous Integration flow Automate and maintain regression test infrastructure Optimize the use of resources available (Computing, licenses...) Collaborate with the Design Verification and infrastructure team. Strong experience with scripting and automation using Python, Bash, or similar scripting languages. Hands-on experience with Git and modern Continuous Integration tools and methodologies. Proven experience optimizing system resources, including compute environments, licensing systems, and infrastructure utilization. Solid understanding of Linux-based environments and development workflows. Strong analytical, troubleshooting, and problem-solving skills. Ability to work effectively in a collaborative, cross-functional engineering environment. Excellent communication skills and a proactive mindset. Nice to Have Experience with Design Verification environments and methodologies. Knowledge of semiconductor, ASIC, FPGA, or hardware verification workflows. Experience with CI/CD tools such as Jenkins, GitLab CI/CD, GitHub Actions, or similar platforms. Familiarity with containerization technologies such as Docker or Kubernetes.

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. What You’ll Be Doing K8s cluster lifecycle management: Own the build, scaling, version upgrades, daily operations, fault diagnosis, and performance tuning of large-scale production Kubernetes clusters; ensure 7×24 high availability and stable operations; support continuous business iteration. Alibaba Cloud & AWS multi-cloud operations (core responsibility): Operate, govern, and optimize Alibaba Cloud and AWS resources across dual-cloud environments, covering container services, networking, storage, IAM, load balancing, databases, and object storage; manage configuration changes, cost optimization, and disaster recovery to achieve unified multi-cloud governance. Cloud-native architecture and optimization: Lead containerization and microservices operational rollout; optimize Pod scheduling, resource quotas, network policies, image management, and log monitoring systems; resolve cluster resource fragmentation, business adaptation, and network interoperability challenges. Stability and security: Build comprehensive K8s cluster monitoring, alerting, logging, and distributed tracing systems; define operations runbooks, change processes, and incident response plans; strengthen cluster security controls, disable high-risk permissions, harden container runtime environments, and ensure infrastructure and business data security. Automated operations and DevOps: Develop operations automation scripts using Shell/Python; integrate Jenkins, GitLab CI, and ArgoCD to build automated release, inspection, and backup systems; implement Infrastructure as Code (IaC) principles to improve efficiency and reduce human error. Incident management and post-mortem optimization: Lead online incident response, conduct root cause analysis, produce post-mortem reports, and continuously optimize cluster architecture, resource allocation, monitoring strategy, and long-term stability assurance mechanisms. Technical knowledge sharing and team empowerment: Track Cloud Native and public cloud technology developments; document operations best practices and technical specifications; assist the team in improving multi-cloud K8s operations capabilities. What We Look For In You Bachelor's degree or above in a computer-related field; 4+ years of hands-on experience operating production-level Kubernetes clusters; proficient in K8s core principles and components including Pod, Deployment, StatefulSet, Service, Ingress, CRD, controllers, scheduling strategies, network models, and storage mounting; able to independently resolve complex cluster failures and performance bottlenecks. Proficient in Alibaba Cloud and AWS dual-cloud operations, with independent experience in dual-cloud production environments: Alibaba Cloud: proficient in ACK Container Service, ECS, SLB, VPC, RAM, RDS, OSS, CloudMonitor, security groups, and snapshot backups. AWS: proficient in EKS, EC2, S3, VPC, IAM, TGW, load balancing, CloudWatch, and security policies; practical experience in overseas cloud deployment, operations, and disaster recovery. Proficient in Linux system administration; familiar with system optimization, permission control, process management, log analysis, and online troubleshooting. Familiar with mainstream container runtimes (containerd/Docker); understand K8s networking (CNI plugins such as Calico/Flannel), storage (CSI), and multi-cluster management; familiar with Istio/Envoy service mesh, east-west traffic governance, gray-scale releases, and network interoperability. Strong Shell and Python automation skills; experienced with CI/CD pipelines (Jenkins, GitLab CI, ArgoCD); familiar with IaC tools (Terraform, Ansible, Helm); experienced with observability stacks (Prometheus, Grafana, ELK/EFK, Jaeger, SkyWalking). Preferred: experience in large-scale public cloud environments (100+ nodes); multi-cloud cost optimization; K8s security hardening (OPA/Gatekeeper, Pod Security Standards, Falco); Kubernetes CKA/CKS certification; experience with AI/LLM workload scheduling (GPU scheduling, distributed training). Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity We are currently seeking a Public Cloud Operations Expert to join our Singapore team. You be will responsible for the full lifecycle management of enterprise-level hybrid cloud infrastructure, leading unified orchestration, operations, and cost optimisation of AWS and Alibaba Cloud resources, ensuring high availability, high performance, and compliance. What You’ll Be Doing Cloud Platform Architecture & Operations Plan, deploy, monitor, and maintain AWS services (EC2, S3, VPC, Lambda, EKS, etc.) and Alibaba Cloud services (ECS, OSS, VPC, Function Compute, ACK, etc.). Design highly available, auto-scaling cloud architectures, optimizing network (e.g., Alibaba Cloud CEN, AWS Direct Connect), storage, and compute resource configurations. Monitoring & Incident Management Implement full-stack monitoring and alerting using cloud-native tools (AWS CloudWatch, Alibaba Cloud CloudMonitor) and open-source solutions (Prometheus+Grafana, ELK). Lead critical incident response, perform root cause analysis, and implement preventive measures (e.g., resource contention, misconfigurations, network latency). Cost Optimisation & Resource Management Analyse cloud resource usage, reduce costs via reserved instances, auto-scaling, and storage lifecycle policies (e.g., AWS S3 Intelligent-Tiering, Alibaba Cloud OSS Archive). Establish resource quota management strategies to prevent waste and overspending. Security & Compliance Implement cloud security baselines (security groups, IAM policies, Alibaba Cloud RAM permissions, AWS Security Hub), conduct regular security audits, and remediate vulnerabilities. Design granular access controls using AWS IAM and Alibaba Cloud RAM, and enforce database auditing (e.g., AWS CloudTrail + Alibaba Cloud DAS). Cross-Team Collaboration & Knowledge Sharing Collaborate with development teams to optimize application architectures and provide cloud-native solutions (Server-less, Microservices). Document operational procedures (SOP manuals) and lead internal technical training sessions. What We Look For In You Technical Skills Mastery of core services (compute/storage/network/security) on AWS or Alibaba Cloud, with familiarity in the other platform. Proficient in Linux/Windows system operations and automation tools (Shell/Python/Ansible). Hands-on experience with containerized operations (Kubernetes, ECS/EKS, ACK) and cloud-native technologies (e.g., Service Mesh). Experience Requirements 5+ years of operations experience, with at least 3 years focused on public cloud (AWS/Alibaba Cloud) environments managing 100+ instances. Experience in building cloud platforms from scratch, hybrid cloud architecture design, or large-scale migration projects (e.g., IDC-to-cloud) is preferred. Team Management Excellent team management and communication skills to lead and collaborate with operations, development, testing, and security teams. Certifications & Education AWS Certified SysOps Administrator or Alibaba Cloud ACP/ACE certifications are preferred. Bachelor’s degree or higher in Computer Science, Network Engineering, or related fields. Nice-To-Haves Familiarity with multi-cloud management platforms (AWS, Alibaba Cloud, Azure) or FinOps cost optimisation methodologies. Experience in cloud security practices, including Web Application Firewall (WAF) and DDoS protection (Alibaba Cloud Anti-DDoS Premium, AWS Shield). Exposure to big data/AI operations (e.g., Alibaba Cloud MaxCompute, AWS EMR). Team leadership experience is preferred. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 JOB SUMMARY   We are looking for a GTM DevOps Engineer to join our Business Systems team and own the reliability, automation, and delivery infrastructure behind our Go-To-Market (GTM) technology stack. This role sits at the intersection of platform reliability and CI/CD engineering, ensuring that our critical business systems — including Salesforce, NetSuite, MuleSoft, Workato, and an expanding portfolio of AI-powered workloads — are deployed consistently, operate resiliently, and scale with the business.   You will partner closely with Business Systems developers, architects, and business stakeholders to build and maintain the pipelines, monitoring frameworks, and operational standards that keep our GTM systems healthy and our release cycles fast and predictable. As our team builds and deploys AI agents across GCP Cloud Run and AWS Bedrock AgentCore, you will serve as the infrastructure and deployment owner for these workloads — bringing engineering discipline to an environment where AI-generated code is increasingly entering production. This is a hands-on engineering role for someone who thrives in complexity, takes ownership of platform uptime, and brings a software engineering mindset to business application operations — directly supporting GTMSOE's broader mission of operational excellence across the GTM org.   KEY RESPONSIBILITIES   CI/CD & RELEASE ENGINEERING   - Design, build, and maintain CI/CD pipelines for Salesforce (SFDX/Salesforce CLI), NetSuite (SuiteScript/SuiteBundler), MuleSoft (Anypoint Platform), and Workato; establish branching strategies, environment promotion standards, and release gating processes across all GTM platforms. - Extend CI/CD practices to cover AI agent workloads deployed on GCP Cloud Run and AWS Bedrock AgentCore — including containerized builds, deployment pipelines, and automated validation gates. - Implement safe rollout patterns — including feature toggles, phased launches, automated validation, smoke tests, and rollback procedures — to reduce deployment risk on business-critical changes.   PLATFORM RELIABILITY & OBSERVABILITY   - Own SLA/SLO definitions for core GTM systems; standardize monitoring, alerting, and runbook patterns across quote-to-cash and GTM integrations, with proactive health checks and synthetic monitoring for critical flows (e.g., Salesforce ↔ NetSuite, Workato). - Extend observability coverage to GCP Cloud Run workloads — Cloud Scheduler jobs, agent pipelines, and integration microservices — and AWS-hosted agent infrastructure. - Conduct root cause analysis (RCA) for platform incidents and drive post-incident reviews with actionable remediation plans.   CLOUD INFRASTRUCTURE & ENVIRONMENT MANAGEMENT   - Manage sandbox, staging, and production environment lifecycles across GTM platforms — including refresh cycles, data masking, environment segmentation, and promotion standards that balance speed with reliability. - Own cloud infrastructure for Business Systems-operated workloads on GCP (Cloud Run, Cloud Scheduler, Cloud Secret Manager, GCS, Artifact Registry) and AWS (Lambda, S3, EventBridge, Secrets Manager, Bedrock AgentCore); apply IaC practices to make provisioning repeatable and auditable. - Establish base image pinning, dependency vulnerability scanning, and supply chain security practices for containerized workloads — particularly AI-generated codebases deployed via tools like Cursor or Claude Code. - Define and enforce patch management and container runtime ownership for vibe-coded and agentic workloads entering production.   SECRETS, ACCESS & SECURITY POSTURE   - Establish and enforce a consistent secrets management standard across all Business Systems workloads — GCP Secret Manager, AWS Secrets Manager, and equivalent — eliminating credential exposure via environment variables, source code, or client-side contexts. - Define and maintain API key rotation policies in alignment with security standards (high-severity keys: quarterly; vendor keys: annually at minimum). - Partner with Security and IT on IAM scoping, least-privilege service accounts, VPC configuration, and public/private endpoint governance for Cloud Run and Bedrock deployments. - Maintain a centralized registry of deployed workloads — GitHub repos, deployment URLs, architecture docs, data classification, and observability dashboard links — accessible to AppSec and infrastructure teams.   AUTOMATION & TOOLING   - Build internal tooling, automation scripts, and automated testing frameworks (unit, integration, regression) to reduce toil and increase deployment confidence; continuously evaluate new tooling to improve developer experience. - Develop or enforce GitHub repository templates for Cloud Run deployments that cover security audits, deployment configuration, API integration, and MCP server patterns — serving as a reusable foundation for AI-assisted builds.   GOVERNANCE, STANDARDS & COLLABORATION   - Define where self-service deployment and administration are appropriate versus where stronger change control and operational guardrails are required; serve as the DevOps SME, enabling developers to operate with autonomy within those boundaries. - Document and maintain operational runbooks, architecture decision records (ADRs), and deployment standards as living artifacts. - Collaborate with IT, Data Engineering, Security, and business stakeholders on cross-functional initiatives that touch the GTM platform.   QUALIFICATIONS   EXPERIENCE   - 4+ years in a DevOps, Site Reliability Engineering (SRE), or Platform Engineering role - 2+ years of hands-on experience deploying and managing Salesforce environments (SFDX, Salesforce CLI, scratch orgs, sandboxes, change sets, or pipeline-based deployments) - Experience with at least one additional GTM/ERP platform, such as NetSuite, MuleSoft, or Workato, in an operational or deployment capacity - Demonstrated experience building and maintaining CI/CD pipelines using tools such as GitHub Actions, GitLab CI, Jenkins, or Copado - Hands-on experience with GCP services — Cloud Run, Cloud Scheduler, Cloud Secret Manager, Artifact Registry, GCS — in a deployment or operations context - Experience with AWS services in an integration or operations context — Lambda, S3, SQS, Secrets Manager, CloudWatch; familiarity with Bedrock AgentCore or similar managed agent hosting infrastructure is a strong plus - Experience managing containerized workloads, including image lifecycle, dependency scanning, and supply chain security practices - Experience with incident management, on-call processes, and writing post-incident reviews   SKILLS & COMPETENCIES   Technical   - Strong scripting skills in Python, Bash, or Node.js for automation and tooling - Proficiency with Git, branching strategies, and version control best practices - Understanding of API-based integration patterns (REST, SOAP, event-driven) as they apply to MuleSoft, Workato, or similar iPaaS tools - Hands-on familiarity with secrets management across GCP Secret Manager and AWS Secrets Manager; strong grasp of security best practices in CI/CD contexts (least-privilege IAM, no hardcoded credentials, key rotation) - Monitoring and observability tooling experience (Datadog, Splunk, Google Cloud Monitoring, CloudWatch, or similar) - Infrastructure-as-code proficiency — Terraform or CloudFormation; experience applying IaC to Cloud Run or Lambda-based workloads preferred - Familiarity with container security practices: base image pinning, vulnerability scanning (e.g., Artifact Registry, Trivy), and dependency management for AI-generated codebases   Operational & Mindset   - Ownership: Takes full accountability for platform uptime, deployment quality, and the operational health of GTM infrastructure end-to-end. - Velocity: Operates with a bias for action — ships iteratively, reduces toil systematically, and keeps release cycles fast and predictable. - AI & Automation mindset: Actively leverages AI-assisted tooling and automation to accelerate delivery, improve reliability, and reduce manual overhead across the GTM stack. - Collaboration: Fluent cross-functional partner to developers, architects, Security, IT, and business stakeholders — enables autonomy without becoming a bottleneck. - Growth: Continuously evaluates new tooling, patterns, and practices to raise the bar on platform engineering and developer experience.   WHAT YOU'LL WORK WITH   - Salesforce: Core GTM CRM platform; this role owns deployment pipelines, environment management, and release reliability across orgs. - NetSuite: ERP platform integrated into the quote-to-cash flow; managed via SuiteScript/SuiteBundler within CI/CD standards. - MuleSoft (Anypoint Platform): Integration middleware; this role maintains deployment pipelines and observability for MuleSoft-managed flows. - Workato: iPaaS automation platform; monitored and deployed within the broader GTM reliability framework. - GCP (Cloud Run, Cloud Scheduler, Secret Manager, Artifact Registry, GCS): Primary cloud platform for AI agent workloads and integration microservices. - AWS (Lambda, S3, EventBridge, Secrets Manager, Bedrock AgentCore): Secondary cloud environment for agent hosting and integration operations. - GitHub Actions / GitLab CI / Copado: CI/CD tooling used to build, validate, and promote changes across GTM platforms. - Terraform / CloudFormation: IaC tooling for repeatable, auditable infrastructure provisioning. - Datadog / Splunk / Google Cloud Monitoring / CloudWatch: Observability and alerting stack across GTM and cloud workloads. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: Mexico; Colombia We are looking for Advanced Manufacturing Engineers to support New Product Introduction and manufacturing execution for complex modular systems in the energy, power generation, and data center sectors. This role is ideal for manufacturing engineers with experience translating engineering designs into production-ready processes, developing BOMs, supporting build documentation, and helping industrialize engineered products. The company’s core products include Battery Energy Storage Systems (BESS), Generator Systems, and Modular Data Centers , so experience in any of these areas is highly valuable. BOM development experience is a major plus. The selected candidates will work closely with engineering, manufacturing, supply chain, quality, and operations teams to support product readiness, documentation, and production launch. Key Responsibilities Support New Product Introduction activities from early design through production release. Assist with manufacturing deliverables, including BOM development, routings, tooling requirements, work instructions, and process documentation. Translate engineering designs into clear manufacturing strategies for modular and containerized products. Review designs for manufacturability, assembly efficiency, cost, quality, and production scalability. Support prototype, pilot, and early production builds. Identify manufacturing issues during early builds and help drive corrective actions with engineering and operations teams. Support documentation related to fabrication, assembly, electrical integration, mechanical systems, and quality checks. Collaborate with supply chain and sourcing teams to validate components, lead times, supplier readiness, and material availability. Partner with quality teams to define inspection points, acceptance criteria, and control plans. Support production handoff by ensuring required documentation is complete, accurate, and ready for use by operations. Assist with manufacturing risk identification related to process complexity, tooling, labor, cost, schedule, safety, and supply chain. Requirements Bachelor’s degree in Mechanical Engineering, Manufacturing Engineering, Industrial Engineering, Electrical Engineering, or a related discipline. 5+ years of experience in manufacturing engineering, industrial engineering, NPI, production engineering, or similar roles. Experience supporting engineered products, industrial equipment, modular systems, power systems, or electromechanical products. Strong understanding of manufacturing processes, fabrication, assembly, production documentation, and build readiness. Experience working with BOMs, routings, work instructions, production documentation, or ERP/MRP-related manufacturing data. Ability to work cross-functionally with engineering, manufacturing, supply chain, quality, and operations teams. Strong English communication skills. Ability to work remotely while maintaining strong alignment with U.S.-based teams. Preferred Qualifications Experience with BESS, energy storage, power generation, generator sets, modular data centers, or containerized power systems . Strong BOM development experience. Experience with high-mix, engineered-to-order manufacturing environments. Familiarity with NPI phase gates, APQP, PPAP, or similar structured product launch processes. Experience supporting prototype builds, pilot builds, production ramps, or manufacturing handoffs. Knowledge of electrical and mechanical integration, including switchgear, UPS, inverters, batteries, engines, alternators, cooling systems, or power distribution. Familiarity with UL, NFPA, or other industrial / electrical safety standards is a plus. Lean Manufacturing or Six Sigma experience is a plus. Experience working with U.S.-based manufacturing or engineering teams is preferred. Ideal Candidate Profile The ideal candidate is a manufacturing engineer with strong technical judgment, excellent documentation skills, and the ability to bridge the gap between engineering and production. This person should be comfortable reviewing technical information, developing BOMs, supporting manufacturing readiness, and helping teams move products from design into production efficiently. Experience with BESS, GenSets, Data Centers, modular infrastructure, or complex electromechanical systems will be especially valuable for this role. Benefits Flexible schedules. Work from anywhere. Highly competitive compensation. Long Term position with growth opportunity.

Company Description SCAYLE Payments enables smooth and innovative payment processes in the ABOUT YOU online fashion store, including the introduction of new marketplace functionalities. As a subsidiary of ABOUT YOU Group and a Federal Financial Supervisory Authority (BaFin)-regulated Payment Services Supervision Act (ZAG) institute, SCAYLE Payments takes care of all important aspects of payment transactions: From the integration of payment service providers and payment methods at the Online-Fashion-Stores checkout to the deposit and payout processes of end customers and merchants. The team’s objective is to make payment transactions in e-commerce simpler, safer, and future-oriented. Job Description Own the design and delivery of scalable backend systems across the payment lifecycle (PHP 8.3) Drive architectural decisions and evolve systems towards scalable, event-driven and distributed designs Lead complex technical initiatives end-to-end, from discovery to production and iteration Champion engineering excellence through TDD, CI/CD, and continuous delivery practices Mentor and support other engineers through pairing, feedback, and knowledge sharing Proactively identify and address system, process, and scalability challenges Qualifications 6+ years of backend engineering experience, with strong expertise in PHP Proven track record of designing and scaling distributed systems in production environments Deep experience with APIs, data storage solutions (PostgreSQL, Redis), and messaging systems (Kafka, RabbitMQ, SQS) Strong understanding of cloud-native systems and infrastructure (e.g. Kubernetes, containerized environments) Solid architectural knowledge (microservices, event-driven, hexagonal) and ability to apply it pragmatically High ownership mindset with the ability to lead, mentor, and influence technical direction Additional Information Main Benefits Flexible working times 40% discount on our ABOUT YOU online shop Fresh fruits + drinks everywhere Language courses (German & English) Free sports courses & reduced price for Wellpass membership Subsidized public transportation ticket Free choice of hardware and operating system (Mac, Windows, Linux) also for private usage Modern office in the city center of Hamburg International working environment and English as company language Agile work environment and cross-functional teams Dog-friendly office Professional training Company pension plan Help in relocation and VISA process (Benefits may vary depending on location)

Location: Hamburg Workplace: Hybrid adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually. Building Infrastructure behind 5.5 Billion Daily Ad Requests The Cloud Engineering team is the core of our tech unit, the underlying infrastructure that every other team depends on to ship software and grow the business. Behind rewarded ad experience, the partner-facing dashboards, the ML pipelines, and the ad delivery systems serving millions of users daily, there is one team making sure it all stays online, performant, and cost-efficient. 400 million user events daily, traffic spikes of 150,000+ requests per second, and a data lake that feeds data scientists, BIs, and real-time ML inference across the entire ad stack. To handle this reliably and cost-efficiently, the team runs Kubernetes with event-driven autoscaling and Karpenter, manages Kafka clusters for real-time streaming, and provisions everything through Terraform. Rather than defaulting to managed AWS services, the team actively replaces them with open-source alternatives like Druid, Airflow, Grafana, Prometheus, Spark, Trino, MLFlow, Jupiter Hub, Elasticsearch, and Fluentbit as part of a deliberate move toward cloud-agnostic architecture. Cost efficiency is treated as an engineering constraint, not an afterthought, including AI-based anomaly detection on infrastructure costs. Your Mission & Who We Are Looking For: - 3+ years in DevOps, SRE, or Platform Engineering. You've designed and operated cloud infrastructure at scale, with hands-on experience deploying and managing containerized applications in Kubernetes. At adjoe, you'll be working across a stack that includes Kafka, Druid, Airflow, Spark, Terraform, and Gitlab running on Kubernetes clusters across data centers. - Deep in the AWS ecosystem. You have a strong understanding of AWS services (EKS, DynamoDB, SNS, SQS, IAM, Lambda) and manage infrastructure as code through Terraform. You know the tradeoffs between managed AWS services and open-source alternatives, and have opinions about when each makes sense. - Microservice event-driven architecture is your daily context. You understand how microservices communicate: topics, queues, object storage, and can support backend teams building high-performance Go services across distributed environments. - Reliable CI/CD is a product requirement. You build pipelines that are fast, predictable, and low-maintenance, ensuring smooth delivery without becoming a bottleneck. - Hands-on with emerging infrastructure. You're comfortable migrating existing workloads to self-hosted solutions as well as introducing new tools boost business results. 🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team. What’s in It for You? At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day. - Go Big. Own projects with impact on 770M users and push adtech boundaries. - Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum. - Be Direct. Solve problems openly and collaborate across teams. - Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other. - Have Fun. Celebrate wins, enjoy daily victories, and bring your energy. We welcome applications from people who will contribute to the diversity of our company.

Location: Berlin, Germany Workplace: hybrid At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Founding Engineering Team Lead to join one of our clients ' team in Berlin. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Key Responsibilities: Lead and grow a small, high-performing engineering team while remaining hands-on Design, build, and review production backend and platform code alongside the team Own delivery of the engineering roadmap, balancing speed, quality, and security Act as a technical leader by setting architecture direction and enforcing engineering standards Contribute directly to critical features, integrations, and platform foundations Establish lightweight engineering processes that enable fast execution without bureaucracy Mentor engineers through code reviews, pairing, and technical guidance Contribute hands-on in design and build architecture, configure systems, code 70% of the time in GoLang. Remove blockers and unblock delivery across backend, frontend, data, and DevOps Collaborate closely with CEO, CPTO, and product leadership on technical and execution decisions Support hiring, onboarding, and technical evaluation of engineers Foster a culture of ownership, pragmatism, and low ego Build whole Security platform setup from scratch Partner closely with backend and AI engineers to design secure service boundaries and deployment models Troubleshoot and resolve complex production incidents across infrastructure, networking, and application layers Build PoCs and validate infrastructure and security design decisions in an early-stage environment Support compliance readiness by enabling controls, logging, and evidence collection for security frameworks Continuously improve platform cost efficiency, reliability, and operational maturity This role reports directly to CEO & CPTO Must have skills: 10+ years of professional software engineering experience 3+ years of experience leading engineering teams while remaining hands-on 3+ years of GoLang experience 3+ years experience with AWS in production environments Strong code quality bar and experience with architectural reviews Ability to context-switch between technical topics and people leadership Strong execution mindset and comfort operating under ambiguity Hands-on coding mentality; can build things from scratch including security architecture yourself Hands-on experience with Docker, Kubernetes (EKS) and containerized workloads Experience with CI/CD pipelines (GitHub Actions or similar) Experience with monitoring, logging, observability (Grafana, OpenTelemetry, Prometheus) Experience with Coding CoPilots (Claude Code, GitHub Copilot, AWS CodeWhisperer, Codex, etc.) Knowledge of Experience supporting production SaaS platforms High ownership mentality, startup mindset, and ability to move quickly Experience in startup or scale-up environments Low ego, high commitment, and a true tech startup mentality Excellent English communication skills Nice-to-have requirements: Previous experience as a founding or early-stage Engineering Manager Experience in cybersecurity , identity, or enterprise SaaS platforms Exposure to DevOps, SRE, or data engineering Experience scaling teams and systems simultaneously Experience with security architecture, identity security, or security engineering Familiarity with compliance frameworks (NIS2, DORA, ISO 27001, SOC 2) Understanding of OAuth/OIDC, API tokens, IdP, scopes, SSO, SCIM, roles, RBAC/ABAC, service accounts Familiarity with cloud identity and security controls (e.g. IAM, CloudTrail, Azure Active Directory / Entra ID ) Hands-on with SIEM platforms such as Splunk, Microsoft Sentinel, or IBM QRadar Experience designing permission models, identity graphs, or access control frameworks Knowledge of tokenization, Zero Trust principles , least privilege, and continuous verification Experience with Security related to AI/LLM systems, agent logic, or willingness to learn fast Familiarity with AI agent behavior , LLM security, or agent sandboxing Previous experience in cybersecurity , identity startups You are a fan of rock or metal music Excellent German communication skills Benefits: Founding Team Member Equity — ESOPs in a well funded cybersecurity company. Competitive Compensation — salary aligned with market, flexible early-stage arrangements possible. Founding Team Member Status — shape the company from day one and own critical security technical decisions. Fresh Funding Secured — immediate runway to build, hire, and execute fast. Security Contribution — contribute to security tech architecture across identity, AI agents, and enforcement. High Autonomy — freedom to design and build without corporate overhead. Work with a Technical CEO and CPTO — fast iteration, strong alignment, clear direction. Cutting-Edge Domain — identity security, SaaS-to-SaaS access, AI agent governance. Massive Learning Curve — quickly gain depth in cybersecurity, identity, and AI systems. Fast Career Path — opportunity evolve into higher leadership as we scale the engineering team Berlin Location — top-tier tech environment with strong cybersecurity and AI ecosystems. Direct Impact — your architecture and code become the foundation of the entire platform. Best Equipment and Tools - High quality equipment and modern tools to help you do your best work from day one. Team Offsites - Regular team offsites designed to build strong connections, alignment, and shared momentum.

Location: Berlin, Germany Workplace: hybrid At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Founding Backend Engineer(Go) to join one of our clients ' team in Berlin. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Key Responsibilities: Develop and maintain backend applications using Go Design and optimize cloud-based solutions using AWS services (EC2, Lambda, S3, SQS, SNS, etc.) Design, use and manage databases, including PostgreSQL, Neo4J, Redis, and Elasticsearch Develop, manage, and optimize containerized applications using Docker Automate processes using Bash/Python scripting Optimize and maintain RESTful APIs, ensuring security and performance Work closely with frontend engineers, DevOps, and product team to deliver robust applications Monitor, debug, and improve backend performance, reliability, and scalability Implement caching, messaging queues, and event-driven architectures where needed Build whole platform from scratch 5+ years of GoLang experience Hands-on coding mentality; can build things from scratch and familiar with different architectures Hands-on experience with Docker, Kubernetes (EKS) and containerized workloads Experience designing RESTful and gRPC APIs and using frameworks like Gin Hands-on experience with messaging systems (e.g., SQS , Kafka ) Experience with CI/CD pipelines (GitHub Actions or similar) Experience operating PostgreSQL (RDS / Aurora), Neo4J(or similar) Experience with AI agents , LLM-based systems, MCP, RAG, Prompts, Embeddings, Vector, etc Experience with AI stack (AWS Bedrock, LangChain, pgvector or similar) Experience with Infrastructure as Code (Terraform) Experience with monitoring, logging, observability (Grafana, OpenTelemetry, Prometheus) Ability to troubleshoot production issues end to end Experience with Coding CoPilots (Claude Code, GitHub Copilot, AWS CodeWhisperer, Codex, etc.) Experience supporting production SaaS platforms Strong understanding of SaaS integrations and app-to-app permission flows High ownership mentality, startup mindset, and ability to move quickly Experience in startup or scale-up environments Low ego, high commitment, and a true tech startup mentality Strong problem-solving skills and ability to work in a collaborative environment Excellent English communication skills Nice-to-have requirements: Experience working with Java Ability to code in Python Experience with security architecture, identity security, or security engineering Familiarity with compliance frameworks (NIS2, DORA, ISO 27001, SOC 2) Experience with AWS in production environments Exposure to graph-based modeling (identity graph, access graph, risk graph) Familiarity with compliance frameworks (NIS2, DORA, ISO 27001, SOC 2) Understanding of OAuth/OIDC, API tokens, IdP, scopes, SSO, SCIM, roles, RBAC/ABAC, service accounts Familiarity with cloud identity and security controls (e.g. IAM, CloudTrail, Azure Active Directory / Entra ID ) Hands-on with SIEM platforms such as Splunk, Microsoft Sentinel, or IBM QRadar Experience designing permission models, identity graphs, or access control frameworks Knowledge of tokenization, Zero Trust principles , least privilege, and continuous verification Experience with Security related to AI/LLM systems, agent logic, or willingness to learn fast Familiarity with AI agent behavior , LLM security, or agent sandboxing Previous experience in cybersecurity , identity startups You are a fan of rock or metal music Excellent German communication skills Benefits: Founding Team Member Equity — ESOPs in a cybersecurity company Competitive Compensation — salary aligned with market, flexible early-stage arrangements possible Founding Team Member Status — shape the company from day one and own critical technical decisions Fresh Funding Secured — immediate runway to build, hire, and execute fast Security Contribution — contribute to security architecture across identity, AI agents, and enforcement High Autonomy — freedom to design and build without corporate overhead Work with a Technical CEO and CPTO — fast iteration, strong alignment, clear direction Cutting-Edge Domain — identity security, SaaS-to-SaaS access, AI agent governance Massive Learning Curve — quickly gain depth in cybersecurity, identity, and AI systems Fast Career Path — opportunity evolve into leadership as we scale the engineering team Berlin Location — top-tier tech environment with strong cybersecurity and AI ecosystems Direct Impact — your architecture and code become the foundation of the entire platform Best Equipment and Tools - High quality equipment and modern tools to help you do your best work from day one Team Offsites - Regular team offsites designed to build strong connections, alignment, and shared momentum

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. ABOUT THE ROLE We are seeking a mid-level Infrastructure Vulnerability Management Engineer with a strong background in Cloud Security, DevSecOps, and Infrastructure-as-Code (IaC). In this role, you will bridge the gap between security, compliance, DevOps, and Platform engineering teams. You will identify infrastructure misconfigurations, secure multi-cloud environments, and manage continuous vulnerability lifecycles across cloud workloads, containers, and data repositories to satisfy strict regulatory compliance frameworks. You will also serve as a technical infrastructure responder during security incidents, deploying real-time cloud or network countermeasures to protect our production ecosystem. WHAT YOU'LL DO CORE RESPONSIBILITIES - Infrastructure Scanning & Triage: Perform continuous security scanning across our cloud posture and workloads. Review, validate, and prioritize flaws and misconfigurations based on CVSS scores, real-world exploitability, and infrastructure network exposure. - Posture Management & Visibility: Own and optimize Cloud Security Posture Management (CSPM), Kubernetes Security Posture Management (KSPM), and Data Security Posture Management (DSPM) tools to ensure uniform compliance, prevent data leakage, and maintain hardened baselines. - Infrastructure-as-Code (IaC) Security: Configure, tune, and embed automated IaC security scanning tools into CI/CD pipelines to identify architectural risks (e.g., overly permissive IAM, public S3 buckets/Cloud Storage) before they are deployed to production. - Workload & Container Security: Manage the continuous vulnerability scanning lifecycle for container images, registries, and Virtual Machines (VMs), partnering with SRE and Platform teams to build automated base-image patching and rolling upgrade pipelines. - Compliance-Driven Tracking: Track, document, and manage infrastructure vulnerabilities according to strict compliance SLAs (e.g., SOC 2, ISO 27001, PCI-DSS). Maintain audit-ready evidence of infrastructure remediation timelines and exception approvals. - Executive Reporting & Alerting: Escalate and report critical production exposures directly to the CISO and senior leadership. Maintain dashboards and alerting mechanisms that visualize infrastructure risk trends and cloud compliance posture. - Remediation Collaboration: Partner with SRE, DevOps, and Platform teams to provide clear infrastructure mitigation paths. Assist in writing, reviewing, or modifying cloud configuration templates directly when necessary to resolve security flaws. - Incident Response Support: Assist Incident Response teams during active cloud or host-level breaches. Help develop and implement immediate, real-time cloud, network, or IAM configuration countermeasures to contain threats. REQUIRED SKILLS & EXPERIENCE - Experience: 5 years of experience in Cloud Security, DevSecOps, or Systems Engineering roles. - Cloud Infrastructure Depth: Strong foundational experience working with multi-cloud environments (Deep GCP expertise preferred, with working knowledge of AWS or Azure). - Posture Management & Scanning Tooling: Hands-on experience operating modern infrastructure security platforms such as Wiz, Orca, Prisma Cloud, Lacework, or cloud-native options (GCP Security Command Center). - IaC and Automation Fluency: Strong proficiency with Infrastructure as Code platforms (Terraform, Pulumi) and GitOps deployment workflows. Ability to evaluate and configure IaC scanners like Checkov, Tfsec, or KICS. - Containerization & Orchestration: Deep understanding of Docker/container security and Kubernetes architectures (e.g., GKE, EKS), including runtime security, network policies, and workload identity. - Compliance Awareness: Understanding of how infrastructure configurations and vulnerability management map to security compliance frameworks like SOC 2, ISO 27001, CIS Benchmarks, or NIST. WHAT WE VALUE - Systems Thinking: The ability to see the "big picture" and understand how security decisions impact the entire stack. - Technical Influence: The ability to drive technical alignment across the organization through expertise and collaboration rather than direct authority. - Autonomy: Comfortable leading major technical initiatives and driving outcomes with minimal oversight. - Problem-Solving Mindset: A passion for breaking down complex security challenges into elegant, scalable engineering solutions. This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: Poland Company Background Our client is a fast-growing, multinational company in the sports tech and predictive gaming space, backed by leading investors and founders. The company operates fully remotely, with business operations in the U.S. and development teams across Europe. They foster a close-knit, respectful, and collaborative culture, placing strong emphasis on innovation, inclusivity, and user experience. The platform introduces a new approach to sports predictions by focusing on social engagement and entertainment, creating a community-driven experience that is fun, rewarding, and accessible to all sports fans. Project Description The project is a social sports gaming platform that offers free-to-play alternatives to traditional real-money sports betting. It allows sports fans to make predictions, compete for leaderboard positions, earn badges, build in-game status, and participate in sweepstakes promotions and loyalty rewards. The platform focuses on creating a fun, engaging, and community-driven sports gaming experience for users with different levels of interest in sports. Technologies Python, Django/FastAPI, asyncio Distributed systems, Microservices, Event-driven architecture Apache Kafka Docker, AWS (or other cloud providers) SQL, PostgreSQL CI/CD, Test automation Prometheus, Grafana What You'll Do Take full ownership of backend services from design and development through deployment, maintenance, and continuous improvement; Design, develop, and maintain scalable, high-performance distributed backend services using Python and Django; Architect distributed systems to support millions of users with low latency and high availability; Own critical backend infrastructure components, including APIs, data pipelines, message brokers such as Kafka, and caching; Optimize systems for throughput, latency, fault tolerance, and resilience under heavy load; Implement robust testing strategies, including unit, integration, and performance tests; Drive continuous improvement of development processes and system observability, including monitoring and logging; Collaborate with product, frontend, and DevOps teams to ship reliable features on aggressive timelines; Lead and mentor junior engineers through code reviews, architectural discussions, and knowledge sharing; Job Requirements 5+ years of experience in Python backend development; Solid experience with Django/FastApi and asynchronous programming using asyncio; Production experience with Apache Kafka; Strong experience with distributed systems, microservices, or similar architecture; Experience deploying and managing containerized applications using Docker; Familiarity with any cloud provider, preferably AWS; Proficiency with SQL databases, especially PostgreSQL; Experience with CI/CD pipelines and test automation; Knowledge of monitoring and logging tools such as Prometheus, Grafana, or equivalent; Strong problem-solving skills and experience with code reviews; Comfortable working in Agile teams; English level: B2 or higher; Nice To Have Experience with Kubernetes; Experience working with systems supporting 1M+ users; Experience with NoSQL databases; Exposure to event sourcing or CQRS patterns; Familiarity with frontend technologies such as React; Knowledge of big data tools such as Flink or NiFi; Exposure to infrastructure as code tools such as Terraform; Experience in the sports or betting industries; What Do We Offer The global benefits package includes: Technical and non-technical training for professional and personal growth; Internal conferences and meetups to learn from industry experts; Support and mentorship from an experienced employee to help you professional grow and development; Health insurance; Sports activities to promote a healthy lifestyle; Flexible work options, including remote and hybrid opportunities; Referral program for bringing in new talent; Work anniversary program and additional vacation days.