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Location: Dhahran, Saudi Arabia; Bengaluru, India Eram Talent is seeking a highly skilled Cloud Engineer / Architect to join our team in Saudi Arabia. The successful candidate will be responsible for designing, implementing, and managing cloud solutions that align with our clients' business objectives. You will play a critical role in architecting scalable, secure, and cost-effective cloud infrastructures, supporting cloud migration initiatives, and optimizing cloud environments across various platforms including AWS, Azure, and Google Cloud Platform (GCP). Key Responsibilities: Design, develop, and deploy cloud-based solutions aligned with organizational goals. Lead cloud migration projects including assessment, planning, and execution phases. Implement Infrastructure as Code (IaC) using tools such as Terraform, CloudFormation, or ARM templates. Manage and optimize cloud resources to ensure availability, scalability, and security. Collaborate with cross-functional teams to integrate on-premises and cloud environments. Monitor cloud performance and implement automation for continuous improvement. Provide guidance on cloud best practices, security compliance, and cost management. Requirements Bachelor’s degree in Computer Science, Information Technology, or related field. Advanced degree is a plus. 7+ years of experience in cloud engineering and architecture roles, preferably in multinational environments. Strong hands-on experience with at least two major cloud platforms such as AWS, Azure, or Google Cloud Platform. Proficiency with Infrastructure as Code (Terraform, CloudFormation, ARM templates). Experience with containerization technologies like Docker and orchestration tools such as Kubernetes. Strong understanding of networking, security frameworks, identity and access management (IAM), and compliance standards. Relevant cloud certifications such as AWS Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, or Google Professional Cloud Architect are highly desirable. Excellent problem-solving, communication, and teamwork skills.

Location: Serbia Workplace: remote ABOUT YOU We are seeking a visionary Staff Software Engineer – Identity & Access Management to architect, build, and scale the foundational security layer of our global ecosystem. In this role, you will take full ownership of our authentication and authorization infrastructure, ensuring that millions of users can securely interact with our services. Working at the intersection of security, platform stability, and developer experience, you will lead the design of mission-critical systems—from identity federation and complex token lifecycles to fine-grained access control models. This is a high-impact position for an engineer who excels in the Golang ecosystem and thrives on the complexity of high-stakes security systems. You aren’t just implementing protocols; you are building a resilient, multi-tenant identity fabric that supports everything from global gaming integrations to sophisticated SaaS architectures. If you have a deep-seated passion for data privacy, a "security-first" mindset, and the technical depth to navigate the nuances of OAuth 2.0, OIDC, and beyond, you will find a home here.   ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers reach more players and grow their businesses around the world. For more information, visit xsolla.com. QUALIFICATIONS & SKILLS Core Engineering Excellence Decade of Experience: 10+ years in backend or systems engineering, with at least 5 years dedicated to the Identity & Access Management (IAM) domain. Golang Mastery: Expert-level proficiency in Go, with a track record of building high-performance, concurrent, and scalable distributed systems. Cloud-Native Mindset: Proven experience deploying and managing services within Kubernetes environments (AWS or GCP). Identity & Security Deep-Dive Auth Protocols: Deep architectural understanding of OAuth 2.0, OIDC, JWT , and SCIM . Lifecycle Management: Hands-on experience with identity federation, sophisticated token management, and complex access control flows. Security First: Strong grasp of modern security best practices, encryption standards, and secure coding principles. BONUS POINTS Advanced Auth Models: Experience implementing fine-grained access control such as ReBAC, ABAC , or utilizing Open Policy Agent (OPA) . Ecosystem Knowledge: Familiarity with industry-leading identity providers and frameworks like Ory (Kratos/Keto), Keycloak, Auth0 , or ForgeRock . Scale & Architecture: Background in building multi-tenant architectures, specifically for global SaaS platforms or large-scale Gaming ecosystems. Community Footprint: Active contributions to Open Source Golang projects or security-focused libraries. Benefits   We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees through a comprehensive Benefits Program. This includes unlimited Flexible Time Off and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.   The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required.   By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially.   Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy.   For any inquiries related to data privacy, please contact: careers@xsolla.com    Explore more opportunities at: https://xsolla.com/careers

Location: Amsterdam, Netherlands; Remote - Europe; Remote - United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are seeking a highly skilled ML/AI Engineer to join our team to lead and support benchmarking of GPU platforms benchmarking of GPU platforms for machine learning and AI workloads. You will play a critical role in evaluating the performance of GPU-based hardware for various deep learning and AI frameworks, enabling data-driven decisions for platform optimisation and next-generation hardware development. Your responsibilities will include: Work closely with hardware, development teams to profile and analyse GPU performance at the system and kernel level. Evaluate and compare GPU performance across different platforms, architectures, and software stacks (e.g.,CUDA, ROCm). Debug and optimise ML workloads to run efficiently on GPU hardware, identifying and resolving performance bottlenecks. Perform acceptance testing acceptance testing for new GPU clusters, ensuring hardware and software meet performance, stability, and compatibility requirements for AI workloads. Perform experiments across diverse GPU system configurations to assess the impact of varying interconnect strategies and system-level optimisations on performance and scalability. Develop tools and dashboards to visualise performance metrics visualise performance metrics, bottlenecks, and trends. Contribute to internal tooling, frameworks, and best practices We expect you to have: A profound understanding of theoretical foundations of machine learning Deep understanding of performance aspects of large neural networks training and inference (data/tensor/context/expert parallelism, offloading, custom kernels, hardware features, attention optimisations, dynamic batching etc.) Deep experience with modern deep learning frameworks (PyTorch, JAX, Megatron-LM, Tensort-LLM) Good understanding of the GPU stack: CUDA,NCCL, drivers, and relevant libraries Familiarity with containerized environments (e.g., Docker, Kubernetes). Strong communication and ability to work independently Ways to stand out from the crowd: Familiarity with modern LLM inference frameworks (vLLM, SGLang, TensorRT) Experience in Python and performance profiling tools (e.g., Nsight, nvprof, perf). Familiarity with cloud ML platforms like AWS, GCP, Azure ML Contributions to open-source ML benchmarking tools Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Bratislava, Slovakia; Banská Bystrica, Slovakia Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are looking for a highly experienced Staff Software Engineer to join a fast-growing engineering organization focused on shared capabilities and commercial services. In this role, you will contribute to the evolution of core product and engineering capabilities that power a global portfolio of products and services. This is an opportunity to work on strategic, high-impact initiatives while helping shape engineering standards, architecture, and best practices across multiple domains. The ideal candidate is passionate about scalable backend systems, product engineering, technical leadership, and hands-on software development. Responsibilities Lead technical decisions for major platform capabilities and translate business needs into practical technical roadmaps. Serve as a domain expert, defining scalable and maintainable domain boundaries and service architectures. Design, build, and evolve backend capabilities and APIs across multiple systems and domains. Take ownership of end-to-end product features, including scalability, reliability, and operational excellence. Drive engineering best practices through hands-on coding, mentorship, and technical leadership. Collaborate closely with product, engineering, and business stakeholders to deliver impactful solutions. Communicate complex technical concepts clearly to both technical and non-technical audiences. Promote modern software engineering practices including Domain-Driven Design (DDD), SOLID, GRASP, and API-first architecture. Proven experience delivering large-scale, customer-facing software products. Strong expertise in backend services, distributed systems, and application/data integration. Hands-on experience applying Domain-Driven Design (DDD) and API-first principles within multi-tenant platforms. Strong full-stack engineering background with deep understanding of software design patterns and best practices. Proficiency in TypeScript and Node.js preferred, or strong experience with backend technologies such as Java, .NET/C#, Kotlin, Python, or Go. Ability to translate product requirements into scalable technical designs and implementation roadmaps. Strong ownership mindset with the ability to drive projects end-to-end. Nice to Have Experience with AWS cloud architecture and infrastructure design. Exposure to LLMs or AI-related technologies. Experience working on platform or shared-service architectures. What’s Offered Competitive salary. Flexible and supportive work environment. Career growth and continuous learning opportunities. International team events and company gatherings. Opportunity to work alongside highly skilled engineers and technical leaders. Inclusive and collaborative culture that values diverse perspectives and experiences.

Location: Bratislava, Slovakia Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Technical Team Leader to join one of our clients ' team. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Responsibilities: Lead and Inspire: Effectively guide a high-performing engineering team, fostering a positive and collaborative culture while driving continuous improvement initiatives. Solve Complex Problems: Apply strong problem-solving skills to tackle technical challenges, ensuring the successful completion of projects and initiatives. Mentor and Guide: Provide technical guidance and mentorship to squad members, maintaining high standards and adherence to industry best practices. Facilitate Collaboration: Work closely with cross-functional teams—including product management, content, design, SEO, and delivery—to ensure alignment and effective communication. Promote Growth: Cultivate a culture of learning and development, supporting the professional growth of team members through ongoing training, mentorship, and skill-building opportunities. Led the design and implementation of scalable solutions capable of handling large data volumes or high traffic with minimal performance impact. Skilled in modern frontend technologies, ideally including React.js , Next.js , and TypeScript. Skilled in modern backend technologies, ideally Node.js . Ability to still get in to the weeds & change code, this role is partially a hands on position Proficient in deploying applications to cloud platforms such as GCP or AWS. Managed and mentored a team of Product facing engineers across multiple levels of seniority. Strong communicator with a track record of effective collaboration with cross-functional stakeholders. Deep understanding of best engineering practices, including testing, pair programming, documentation, and code reviews.

Location: North Macedonia; Georgia; Serbia; Croatia; Slovenia; Bosnia and Herzegovina About Huzzle At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and AI. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor Job Summary As an AI Engineer, you will be responsible for developing and optimizing AI systems, integrating machine learning models into production environments, and building scalable AI-driven applications. You will contribute to everything from model experimentation to deployment and performance optimization. Key Responsibilities Design, build, and deploy AI and machine learning solutions for real-world business applications. Develop and maintain applications using Large Language Models (LLMs) such as GPT-based systems. Build AI-powered automations, copilots, chatbots, and workflow systems. Fine-tune, evaluate, and optimize machine learning models for performance and scalability. Integrate AI systems with APIs, databases, CRMs, and third-party platforms. Collaborate with product and engineering teams to translate business requirements into AI-driven solutions. Implement prompt engineering strategies and retrieval-augmented generation (RAG) systems. Monitor model performance, reliability, and cost efficiency in production environments. Maintain documentation, testing procedures, and deployment workflows. Stay updated on the latest AI trends, frameworks, and emerging technologies. Requirements 3+ years of experience in AI Engineering, Machine Learning, or Software Engineering. Strong experience with Python and AI/ML frameworks such as TensorFlow, PyTorch, LangChain, or Hugging Face. Experience working with LLMs, OpenAI APIs, Anthropic, Gemini, or similar AI platforms. Familiarity with vector databases, embeddings, and RAG architectures. Experience deploying AI applications using cloud platforms such as AWS, GCP, or Azure. Strong understanding of APIs, backend systems, and scalable application architecture. Experience with Docker, Git, CI/CD pipelines, and modern development practices. Excellent problem-solving and analytical thinking skills. Strong communication skills with the ability to work in remote, cross-functional teams. Bonus: Experience building AI agents, automation systems, or voice AI applications. Benefits 💰 Competitive salary based on experience and location 🌎 Fully remote role with flexible work environment 🚀 Work on cutting-edge AI automation projects with real business impact 📈 Strong growth opportunity into senior AI / systems roles 🧠 Exposure to LLMs, prompt engineering, and scalable AI system design 🤝 Direct collaboration with a fast-moving, high-performance team

Location: South Africa; Pakistan; Philippines; United States; United Kingdom; Canada About Huzzle At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and AI. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor Job Summary We are looking for a highly skilled AI Engineer to design, build, and deploy AI-driven applications and machine learning solutions. You’ll work closely with product, engineering, and data teams to create intelligent systems that improve automation, customer engagement, and operational efficiency. This role is ideal for someone passionate about artificial intelligence, large language models (LLMs), machine learning infrastructure, and production-grade AI systems. Key Responsibilities Design, develop, and deploy AI and machine learning models for real-world applications. Build and optimize AI-powered tools using technologies such as OpenAI, Claude, Gemini, or open-source LLMs. Develop scalable APIs and backend services for AI applications. Fine-tune machine learning models and improve model performance. Work with structured and unstructured datasets for training and inference. Implement prompt engineering strategies and retrieval-augmented generation (RAG) pipelines. Integrate AI solutions into web platforms, CRMs, and business systems. Monitor AI model performance, reliability, and scalability in production. Collaborate with cross-functional teams to define AI product requirements and technical roadmaps. Stay updated on emerging AI technologies, frameworks, and best practices. Requirements 3+ years of experience in AI engineering, machine learning, or software engineering. Strong experience with Python and AI/ML frameworks such as TensorFlow, PyTorch, LangChain, or Hugging Face. Experience working with LLMs, generative AI tools, and prompt engineering. Familiarity with vector databases, embeddings, and RAG architectures. Knowledge of cloud platforms such as AWS, GCP, or Azure. Experience building REST APIs and scalable backend systems. Understanding of MLOps, model deployment, and monitoring workflows. Strong problem-solving and analytical thinking skills. Excellent communication and collaboration abilities. Experience working in remote or distributed teams is a plus. Benefits 💰 Competitive salary based on experience and location 🌎 Fully remote role with flexible work environment 🚀 Work on cutting-edge AI automation projects with real business impact 📈 Strong growth opportunity into senior AI / systems roles 🧠 Exposure to LLMs, prompt engineering, and scalable AI system design 🤝 Direct collaboration with a fast-moving, high-performance team

Location: Mexico; Colombia; Brazil; Chile; Argentina; Costa Rica About Huzzle At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and AI. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor Job Summary We are looking for a highly skilled AI Engineer to design, develop, and deploy scalable AI and machine learning solutions. You’ll work closely with product, engineering, and leadership teams to build intelligent systems that power automation, analytics, conversational AI, and predictive capabilities. This role is ideal for someone passionate about artificial intelligence, large language models (LLMs), machine learning infrastructure, and solving real-world business challenges with cutting-edge technology. Key Responsibilities Design, develop, and deploy AI/ML models for production environments. Build and optimize AI-powered applications using large language models (LLMs) and generative AI tools. Develop intelligent automation workflows, chatbots, recommendation systems, and predictive analytics solutions. Fine-tune, evaluate, and improve machine learning models for performance and scalability. Collaborate with software engineers and product teams to integrate AI features into existing platforms. Work with structured and unstructured datasets for training and inference pipelines. Implement prompt engineering strategies and retrieval-augmented generation (RAG) systems. Monitor AI systems, troubleshoot issues, and continuously improve model accuracy and efficiency. Stay updated with the latest advancements in AI, machine learning, and automation technologies. Maintain documentation for AI models, systems, and workflows. Requirements 3+ years of experience in AI engineering, machine learning, or related software engineering roles. Strong experience with Python and AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or LangChain. Hands-on experience working with OpenAI APIs, LLMs, generative AI, or NLP systems. Experience deploying machine learning models into production environments. Familiarity with vector databases, embeddings, and RAG architectures. Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. Knowledge of Docker, Kubernetes, APIs, and CI/CD pipelines is a plus. Strong understanding of data structures, algorithms, and software engineering best practices. Excellent problem-solving and analytical skills. Strong communication skills and ability to work in a remote, collaborative environment. Benefits 💰 Competitive salary based on experience and location 🌎 Fully remote role with flexible work environment 🚀 Work on cutting-edge AI automation projects with real business impact 📈 Strong growth opportunity into senior AI / systems roles 🧠 Exposure to LLMs, prompt engineering, and scalable AI system design 🤝 Direct collaboration with a fast-moving, high-performance team

Location: China Workplace: OnSite ABOUT HUMAN ARCHIVE Human Archive is a research lab backed by Y Combinator focused on modeling human embodied intelligence. Humans are the most sophisticated biological systems we have ever observed, yet we still do not fully understand ourselves. Research into human physical intelligence — including the human hand, proprioception, and vision — remains largely unsolved. Our mission is to recover human embodied intelligence as a learned model. To achieve this, we build custom hardware products, deploy them globally at scale, and publish research. Today, our data is used for robotics and world modeling, but the broader opportunity is advancing scientific research into intelligence itself. Founded by Stanford and UC Berkeley researchers, we are lean, deeply technical, and operate at extreme speed, taking on unglamorous and conventionally impossible problems that directly unlock step-function gains in model capability. The deployment of capable humanoids at scale will permanently redefine human labor. Undesirable physical work will disappear, and human effort will shift toward a new era of abundant creativity. We are building the infrastructure to accelerate that transition by assembling the Human Archive mafia. You will own meaningful systems from day one and see your work directly impact model capabilities. This is a once-in-a-generation inflection point. If you want to help reshape physical labor and work on problems that matter at civilizational scale, join us. What you'll work on We're hiring a firmware engineer to own the embedded software stack on our wearable capture hardware. Close-to-the-metal work at the intersection of high-bandwidth sensor data, precise timing, and constrained-power embedded compute. You read schematics, debug buses, and know when the bug is in firmware versus when it's in hardware. System architecture - Firmware architecture on embedded Linux on ARM - System state machines: boot, capture, idle, fault recovery - Power management states and low-power transitions Sensor integration and timing - Drivers for cameras, IMUs, microphones, environmental sensors - Sub-millisecond cross-sensor synchronization - Hardware-level timestamping infrastructure - Real-time sensor data alignment - Lightweight on-device fusion for orientation and worn-state estimation (Kalman variants) Data pipeline - Multi-stream concurrent capture - Hardware video encoder pipelines - High-throughput storage writes - Industry-standard delivery format packing Connectivity and fleet operations - Device-to-backend telemetry (battery, storage, session state, error events) - Secure OTA firmware updates with signed images and rollback protection - Remote configuration and fleet management commands - Communication protocols for device-cloud messaging (MQTT-over-TLS, HTTPS, WebSockets) Hardware / software bring-up - Firmware-side board bring-up alongside electrical engineers - Validate hardware interfaces (I²C, SPI, USB, MIPI) - Diagnose timing, power sequencing, and communication faults Required technical experience - Strong C/C++ for embedded systems on ARM - Python for testing, tooling, and automation - Camera driver experience (V4L2 or equivalent) - Deep familiarity with embedded interfaces: MIPI CSI-2, I²C, SPI, USB, interrupts - Comfortable reading schematics and datasheets Systems and concurrency - Interrupts, race conditions, memory constraints, real-time scheduling - RTOS concepts and multi-threaded embedded environments Strong plus - Qualcomm, NXP, or Ambarella BSP experience - SerDes driver integration - Hardware H.264 / H.265 encoder pipelines - Precise timing and synchronization (PTP, IEEE 1588) - High-bandwidth data acquisition - Sensor fusion and Kalman filter implementation - OTA infrastructure for deployed fleets - IoT telemetry stacks (MQTT, AWS IoT, Azure IoT Hub, or similar) - ROS, MCAP, or Foxglove About this role Deep systems work. Long hours in the lab during board bring-up. Drivers nobody has written for the silicon you're working with. Firmware that runs unattended on real users for full shifts — and gets updated remotely without ever recalling a device.

Location: Remote - US 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. But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. We’re seeking a Staff Product Manager to join our team! About the Role: Backblaze’s B2 cloud object storage offers multi-exabyte, S3-compatible, globally available object storage that unlocks app builder innovation across AI neoclouds and traditional hyperscalers at a fraction of the cost from traditional cloud infrastructure hyperscalers. The Staff Product Manager for B2 will work closely with key stakeholders to understand the evolution of cloud storage and the customer problems in the space and determine product strategies and roadmap to address those problems. He or she will work independently to lead the efforts for new feature discovery and delivery and improvements to execute on those strategies. Understanding customer problems through interviews and market research and translating them into requirements is critical. What You’ll Do: Drive B2 product strategy and roadmap development through to delivery execution. Lead the end-to-end product development lifecycle from discovery through delivery in feature development. Gather and synthesize inputs for discovery and prioritization from internal functions, customers, and partners across the full spectrum of R&D development of feature capabilities, user experience challenges, cost optimization, and technical debt. Translate complex customer challenges into clear, concise and actionable product requirements in collaboration with Design, Engineering and GTM teams. Collaborate with Product Marketing to launch and drive adoption of new products and features. Act as a subject matter expert and evangelist for Backblazes solutions solutions, presenting to customers, prospects, partners, and to internal teams. Establish and track key product metrics (KPIs), using data to guide iteration and growth decisions. Maintain a deep understanding of the latest advancements in the object storage market across its application in customer use cases and competitive offerings to identify new opportunities and ensure Backblaze’s market leadership position. The Right Fit: 6+ years of Product Management experience in tech businesses, preferably on IaaS and/or SaaS offerings A proven track record of successfully launching and scaling technical products / platforms in high-growth businesses involving in-depth cross-functional collaboration and leadership across R&D and go-to-market functions Strong grasp of cloud architecture, APIs, and security and compliance Proven success in owning product roadmaps, defining MVPs, and driving the complete product life cycle Strategic thinker who can translate market trends, customer needs, and technical innovations into a clear product vision and actionable roadmap Deep empathy for customers / users in gathering and synthesizing input and a passion for solving their most pressing security challenges. Outstanding communication and leadership skills with a collaborative and team-oriented approach to identifying problems, determining potential solutions, and building consensus around your vision with internal and external stakeholders. Excellent written and verbal communication skills Experience applying data and metrics to inform product decisions and measure success. Bonus Point For: Expertise in cloud storage and computing from hyperscale and neocloud providers, such as AWS, Azure, GCP, GPU clouds, CDNs, etc. Bachelor's degree in Computer Science, Engineering, or related field MBA degree Application development programming experience Expertise in applying GenAI in solution prototyping and agentic workflow development Backblaze Perks RSU grants for full-time employees. Annual company bonus plan. Healthcare for family, including dental and vision. 401K. ESPP program. Flexible vacation policy. Maternity and paternity leave. MacBook Pro for work, plus a generous stipend to personalize your workstation. Childcare bonus (human children only). Fertility treatment and support. Learning and development program. Commuter benefits. A culture that supports a healthy work-life balance. To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar-stage growth companies. Final offer amounts are determined by multiple factors, including candidate location, skills, depth of work experience, and relevant licenses or credentials, and may vary from the amounts listed below. The expected salary range for this role is $170,000 - $215,000. At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries, but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer. To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice.

Location: East Coast - United States Workplace: remote About Zingtree Zingtree is the next-generation intelligent process automation platform reimagining customer experience operations for the world’s top support leaders. With 500+ customers, including Optum, Corpay, Sony, SharkNinja, and Allianz, we transform self-service, surface automation opportunities, and turn every agent into an expert. The Role We’re hiring a Senior DevOps / Platform Reliability Engineer to own the platform that powers our agentic CX product. You’ll build the CI/CD, infrastructure, and observability backbone that enables us to ship multi-agent systems safely to enterprise customers. If you want to operate a production AI platform and use AI to help operate it, this role is for you. In this role, you will collaborate with development, operations, and infrastructure teams to automate and streamline processes, build and maintain tools for deployment, monitoring, and operations, and troubleshoot issues across development and production environments. What You'll Do Own and evolve CI/CD pipelines using GitHub Actions and OIDC-based authentication for microservices and agentic workloads, with safe, fast, and reversible deployments. Automate infrastructure provisioning using Infrastructure as Code (IaC) tools such as Terraform and CloudFormation. Operate and scale our Kubernetes platform (EKS + Argo CD), including autoscaling, ingress, external-dns, cert-manager, External Secrets Operator, backups, runtime guardrails, and multi-tenant isolation for enterprise customers. Manage the edge and network perimeter, including Cloudflare (CDN, WAF, Bot Management, DDoS protection, Zero Trust / Access), CloudFront, API Gateway, ALB/NLB, Route 53, and network security controls. Operate the data and event tier, including Aurora MySQL, ElastiCache/Redis, S3, and MSK (Kafka), with responsibility for backups, point-in-time recovery (PITR), and multi-AZ disaster recovery aligned to defined RTO/RPO objectives. Build and maintain Lambda workloads where event-driven or serverless architectures are the right fit. Build observability as a product using Prometheus, Grafana, and OpenTelemetry, including telemetry for LLM and agentic systems such as token cost, tool-call latency, evaluation signals, and prompt/version tracking. Strengthen our security and compliance posture for SOC 2 and HIPAA, including least-privilege IAM, SCPs, secrets management, SAST/DAST, dependency and container scanning, image signing, AWS Config, Security Hub, GuardDuty, Inspector, and evidence automation. Drive FinOps initiatives, including tagging standards, Savings Plans and Reserved Instances, per-tenant and per-workload cost attribution, and LLM cost controls. Build and evolve our AI-native DevOps capabilities (see section below). Partner with engineering teams to define platform standards, service templates, deployment best practices, and operational SLOs. Monitor system performance and ensure reliability, scalability, and security across infrastructure and services. Collaborate with software engineering teams to support continuous integration and continuous delivery best practices. Document infrastructure, deployment processes, and operational standards to support knowledge sharing across the team. Agentic AI in DevOps You’ll help define how Zingtree uses agentic AI to operate and improve our platform using modern AI operational practices. Responsibilities include: Design and operate auto-remediation agents for common production toil such as certificate rotation, noisy pods, infrastructure drift, and flaky CI pipelines, with human-in-the-loop (HITL) controls for any destructive or customer-impacting actions. Use LLMs for incident triage and root cause analysis, including log and trace summarization, signal correlation, and first-draft postmortems that are always reviewed by humans. Connect AI agents to internal systems through the Model Context Protocol (MCP), including GitHub, Jira, PagerDuty, AWS, Kubernetes, Terraform, and related platforms, using scoped credentials, audit logging, and allow-listed access. Apply AI-driven observability techniques, including anomaly detection on metrics, LLM-based log clustering, and alert deduplication and summarization on top of Prometheus and OpenTelemetry. Establish operational guardrails such as prompt/version pinning, evaluation frameworks for agent behavior, cost and rate-limit controls, policy-as-code (OPA/Conftest) for AI-generated infrastructure changes, and clearly defined blast-radius controls. Define best practices for AI coding assistants such as GitHub Copilot, Claude, and Amazon Q in infrastructure repositories, including review workflows, prompt design, and restrictions on auto-merged changes. Treat AI components as production systems with SLOs, observability, on-call readiness, runbooks, and rollback strategies for agents and prompts. About You Required Qualifications 5+ years of experience in DevOps, SRE, or Platform Engineering operating production systems on AWS. Strong experience with CI/CD pipelines and tools such as GitHub Actions, GitLab CI, Jenkins, or CircleCI. Hands-on experience operating production EKS environments, including autoscaling, ingress, secrets management, and cluster upgrades. Strong AWS networking experience, including multi-account VPC design, subnets, routing, security groups, NACLs, Route 53, ACM, and load balancers. Deep experience with Terraform and GitHub Actions, ideally using OIDC-based cloud authentication. Experience with Aurora/RDS MySQL, Redis (ElastiCache), and S3, including backups, PITR, migrations, and lifecycle management. Strong observability experience using Prometheus, Grafana, and OpenTelemetry. Experience operating Argo CD at scale. Experience with Infrastructure as Code tools such as Terraform, CloudFormation, or Ansible. Experience managing Cloudflare services including WAF, Bot Management, Rate Limiting, and Zero Trust / Access, along with CloudFront. Experience operating Kafka/MSK at scale, including topics, consumer groups, and schema registries. Experience with Lambda and event-driven architectures. Comfortable working with Python, Bash, and Linux systems. Strong understanding of security best practices across IAM, KMS, secrets management, networking, and software supply chain security. Familiarity with vulnerability scanning and compliance tooling. Nice to Have Experience operating LLM or ML workloads in production, including LiteLLM, Bedrock, pgvector, prompt caching, or evaluation systems. Experience building or integrating MCP servers or deploying agent frameworks such as LangGraph or CrewAI in production environments. How We Work We bias toward automation over toil. If you do it twice, script it. If it pages twice, fix it. We’re a small team with high ownership. You’ll help define standards, not just follow them. Humans stay in the loop for anything risky. AI accelerates decision-making but does not replace judgment. We value blameless incident reviews, documented decisions, and fast feedback loops. What We Offer Competitive compensation packages Comprehensive health benefits: 100% of employee premiums covered 75%–80% of dependent premiums covered for most health, dental, and vision plans 401(k) plans to support retirement planning (no employer matching currently) Paid parental leave Unlimited PTO Flexible remote work from anywhere Up to $200/month co-working reimbursement Home office stipend: Up to $500 for home office setup $100/month for internet, phone, and related expenses Zingtree Values Lead with Action We are doers. We move quickly with purpose, take smart risks, learn fast, and focus on outcomes that benefit our customers and the business. People Really Matter We win as a team. We care deeply about our customers and employees, helping each other achieve professional growth and meaningful impact. Ownership Leads to Results When we commit, we deliver. We operate with integrity, accountability, and high standards. Expertise Creates Value We are learners. We continuously grow our knowledge, share expertise, and apply it to create meaningful results. Transparency Builds Trust We communicate openly, honestly, and respectfully. We share information that matters and build trusted relationships through clarity and empathy.

Задачи: — Развертывание и тонкая настройка Kubernetes-кластеров в production. — Построение масштабируемой среды в AWS под высоконагруженные Go-сервисы. — Разработка и внедрение Terraform-модулей с чистого листа. — Подготовка базы для систем на базе Kafka / Redpanda. — Тесное взаимодействие с Backend-командой и участие в архитектурных комитетах. Требования: — 5+ лет опыта в DevOps, значительная часть в Fintech/Banking. — Глубокие практические знания AWS (Production). — Опыт эксплуатации Kubernetes кластеров в реальных боевых условиях. — Умение описывать инфраструктуру как код и писать переиспользуемые Terraform модули. — Английский B2–C1. — Обязательное физическое нахождение в Евросоюзе. Будет плюсом: — Опыт работы с Redpanda или Kafka. — Понимание требований регуляторов к финансовым системам и данным. — Опыт в Highload проектах. Условия: — Работа полностью удалённая с обязательным нахождением в ЕС. — Таймзона работы с 9:00 по СЕТ. — Проект немецкого Fintech / Банкинг. — Работа с современными инструментами и Cloud-Native подходом. — Работа в выделенной экспертной команде. — Стабильный проект с четкими целями и профессиональным менеджментом.

Location: India Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. Who You Are: You're a hands-on engineer with several years of experience building and operating production data platforms. You're fluent in Python or Java and comfortable across the modern data stack — AWS, Kubernetes, Terraform, Kafka, and Databricks/Spark. You care about reliability and developer experience, write clean and well-tested code, and like enabling other teams to move fast on infrastructure you own. You're curious about crypto and energized by working at the intersection of finance and emerging technology. What You’ll Do: Build and maintain the tooling and infrastructure that lets data champions ship pipelines autonomously Own monitoring, alerting, and dataops practices that keep the platform reliable as it scales Operate Kafka as the message broker powering cross-team event-driven architecture Deploy, own and maintain infrastructure components (services, OSS helm charts) with Terraform and Kubernetes Run high-throughput, low-latency processing on Databricks/Spark and cloud-native services on AWS Support dbt for transformations and Airflow (or similar) for orchestration across the platform Partner with product, analytics, and infrastructure teams on design and delivery of platform improvements Troubleshoo t production issues and drive the fixes Embrace and champion the thoughtful adoption of AI to improve team performance and business outcomes. Leverage AI tools (e.g., generative AI, automation platforms, data copilots) to improve productivity, decision-making, and output quality in your day-to-day work. What We’re Looking For: Bachelor’s or Master’s degree in Computer Science , Engineering, or related field 5+ years building data or platform engineering systems in production Strong coding skills in Python or Java Experience operating production data platforms on AWS and supporting downstream teams who build on them Hands-on with Kubernetes and Terraform Experience running Kafka (or a similar broker) in event-driven systems Working knowledge of Databricks/Spark, dbt, and Airflow Solid grasp of data modeling, data quality, and relational and non-relational databases (e.g., Postgres, SQL Server) Comfortable with CI/CD, testing frameworks, and observability tooling Bonus Points: Experience with d ashboarding technologies Experience with streaming engine ( flink , kdb ) Full lifecycle development of a commercial system, including: requirements definition, agile planning, releasing, and production support Experience in Crypto What We Offer: Competitive base salary and discretionary bonus Competitive paid time off Hybrid Working Arrangements Company-paid health and protective benefits for employees and their eligible dependents Free coaching and counseling sessions through Headspace Generous paid Parental Leave Opportunities to learn about the Crypto industry Smart, entrepreneurial, and fun colleagues Employee Resource Groups *Benefits may vary depending on location. Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

Location: United States We're looking for a technical architect who can drive development velocity across a team of 10–15 engineers building cloud-native applications. This is a hybrid role: deep hands-on technical leadership combined with people management. What you'll do Lead the architecture, performance, and scalability of our Node.js-based platform running primarily on AWS. While our applications are deployed on AWS today, they are designed to be hyperscaler-agnostic, and you'll ensure architectural decisions preserve that portability across GCP, Azure, and other cloud providers. You'll own the technical direction of the platform, mentor senior engineers, and partner with product and engineering leadership to ship high-quality systems quickly. You'll also manage a team of 10–15 developers — setting goals, running 1:1s, growing careers, hiring, and removing blockers. You'll balance roadmap delivery with engineering health: code quality, system reliability, on-call hygiene, and developer experience. Requirements What we're looking for 8+ years of software engineering experience, with 3+ years leading engineering teams Deep expertise architecting distributed systems on AWS (compute, networking, data, IAM, observability) Strong Node.js background and a clear point of view on building maintainable services at scale Experience designing platform-agnostic systems that can run on any major hyperscaler Track record of improving performance, scalability, and deployment velocity in production environments Proven ability to grow engineers, hire well, and run a team that ships consistently Nice to have Experience with multi-cloud or cloud-portable deployments (Kubernetes, Terraform, containerization) Background scaling SaaS platforms or developer-facing products AWS certifications (Solutions Architect Professional, DevOps Engineer)

Location: Ukraine We're looking for a technical architect who can drive development velocity across a team of 10–15 engineers building cloud-native applications. This is a hybrid role: deep hands-on technical leadership combined with people management. What you'll do Lead the architecture, performance, and scalability of our Node.js-based platform running primarily on AWS. While our applications are deployed on AWS today, they are designed to be hyperscaler-agnostic, and you'll ensure architectural decisions preserve that portability across GCP, Azure, and other cloud providers. You'll own the technical direction of the platform, mentor senior engineers, and partner with product and engineering leadership to ship high-quality systems quickly. You'll also manage a team of 10–15 developers — setting goals, running 1:1s, growing careers, hiring, and removing blockers. You'll balance roadmap delivery with engineering health: code quality, system reliability, on-call hygiene, and developer experience. Requirements What we're looking for 8+ years of software engineering experience, with 3+ years leading engineering teams Deep expertise architecting distributed systems on AWS (compute, networking, data, IAM, observability) Strong Node.js background and a clear point of view on building maintainable services at scale Experience designing platform-agnostic systems that can run on any major hyperscaler Track record of improving performance, scalability, and deployment velocity in production environments Proven ability to grow engineers, hire well, and run a team that ships consistently Nice to have Experience with multi-cloud or cloud-portable deployments (Kubernetes, Terraform, containerization) Background scaling SaaS platforms or developer-facing products AWS certifications (Solutions Architect Professional, DevOps Engineer)

Location: United Kingdom We're looking for a technical architect who can drive development velocity across a team of 10–15 engineers building cloud-native applications. This is a hybrid role: deep hands-on technical leadership combined with people management. What you'll do Lead the architecture, performance, and scalability of our Node.js-based platform running primarily on AWS. While our applications are deployed on AWS today, they are designed to be hyperscaler-agnostic, and you'll ensure architectural decisions preserve that portability across GCP, Azure, and other cloud providers. You'll own the technical direction of the platform, mentor senior engineers, and partner with product and engineering leadership to ship high-quality systems quickly. You'll also manage a team of 10–15 developers — setting goals, running 1:1s, growing careers, hiring, and removing blockers. You'll balance roadmap delivery with engineering health: code quality, system reliability, on-call hygiene, and developer experience. Requirements What we're looking for 8+ years of software engineering experience, with 3+ years leading engineering teams Deep expertise architecting distributed systems on AWS (compute, networking, data, IAM, observability) Strong Node.js background and a clear point of view on building maintainable services at scale Experience designing platform-agnostic systems that can run on any major hyperscaler Track record of improving performance, scalability, and deployment velocity in production environments Proven ability to grow engineers, hire well, and run a team that ships consistently Nice to have Experience with multi-cloud or cloud-portable deployments (Kubernetes, Terraform, containerization) Background scaling SaaS platforms or developer-facing products AWS certifications (Solutions Architect Professional, DevOps Engineer)

Location: Serbia We're looking for a technical architect who can drive development velocity across a team of 10–15 engineers building cloud-native applications. This is a hybrid role: deep hands-on technical leadership combined with people management. What you'll do Lead the architecture, performance, and scalability of our Node.js-based platform running primarily on AWS. While our applications are deployed on AWS today, they are designed to be hyperscaler-agnostic, and you'll ensure architectural decisions preserve that portability across GCP, Azure, and other cloud providers. You'll own the technical direction of the platform, mentor senior engineers, and partner with product and engineering leadership to ship high-quality systems quickly. You'll also manage a team of 10–15 developers — setting goals, running 1:1s, growing careers, hiring, and removing blockers. You'll balance roadmap delivery with engineering health: code quality, system reliability, on-call hygiene, and developer experience. Requirements What we're looking for 8+ years of software engineering experience, with 3+ years leading engineering teams Deep expertise architecting distributed systems on AWS (compute, networking, data, IAM, observability) Strong Node.js background and a clear point of view on building maintainable services at scale Experience designing platform-agnostic systems that can run on any major hyperscaler Track record of improving performance, scalability, and deployment velocity in production environments Proven ability to grow engineers, hire well, and run a team that ships consistently Nice to have Experience with multi-cloud or cloud-portable deployments (Kubernetes, Terraform, containerization) Background scaling SaaS platforms or developer-facing products AWS certifications (Solutions Architect Professional, DevOps Engineer)

Location: Romania We're looking for a technical architect who can drive development velocity across a team of 10–15 engineers building cloud-native applications. This is a hybrid role: deep hands-on technical leadership combined with people management. What you'll do Lead the architecture, performance, and scalability of our Node.js-based platform running primarily on AWS. While our applications are deployed on AWS today, they are designed to be hyperscaler-agnostic, and you'll ensure architectural decisions preserve that portability across GCP, Azure, and other cloud providers. You'll own the technical direction of the platform, mentor senior engineers, and partner with product and engineering leadership to ship high-quality systems quickly. You'll also manage a team of 10–15 developers — setting goals, running 1:1s, growing careers, hiring, and removing blockers. You'll balance roadmap delivery with engineering health: code quality, system reliability, on-call hygiene, and developer experience. Requirements What we're looking for 8+ years of software engineering experience, with 3+ years leading engineering teams Deep expertise architecting distributed systems on AWS (compute, networking, data, IAM, observability) Strong Node.js background and a clear point of view on building maintainable services at scale Experience designing platform-agnostic systems that can run on any major hyperscaler Track record of improving performance, scalability, and deployment velocity in production environments Proven ability to grow engineers, hire well, and run a team that ships consistently Nice to have Experience with multi-cloud or cloud-portable deployments (Kubernetes, Terraform, containerization) Background scaling SaaS platforms or developer-facing products AWS certifications (Solutions Architect Professional, DevOps Engineer)