Lead Machine Learning Engineer at H&M Group | Stockholm

Join our dynamic team at Devoteam as a Senior to Principal Machine Learning / AI Engineer, where your expertise in cutting-edge technology will drive innovation and excellence. You will collaborate with talented professionals to develop and implement advanced machine learning solutions that address real-world challenges.

Join Us as a Senior Machine Learning Engineer!Be a Part of AI & Data TransformationAt Datatonic, we proudly serve as Google Cloud's premier partner in AI, spearheading transformative changes for leading enterprises. Our dedication to pushing the technological envelope is evident through our expertise in machine learning, data engineering, and analytics on the Google Cloud Platform. Collaborating with us empowers clients to future-proof their operations, glean actionable insights, and maintain a competitive edge in an ever-evolving landscape.Your Role and ResponsibilitiesAs a Senior Machine Learning Engineer, you will excel in crafting elegant code in Python and take immense pride in your deliverables. You will champion high-quality engineering practices and best practices in both production software and rapid prototyping. While this role is hands-on, we seek candidates eager to lead projects and engage actively in client discussions. You will build trusted relationships, creatively apply machine learning to solve real-world challenges, scope projects, and ensure seamless delivery.Key ResponsibilitiesRequirements Translation: Analyze ambiguous requirements to develop models that tackle real-life challenges.Data Science Expertise: Execute ML experiments using relevant programming languages and machine learning libraries.Generative AI: Harness generative AI to create groundbreaking solutions.Optimization: Enhance machine learning solutions for optimal performance and scalability.Custom Implementation: Develop tailored machine learning code to address specific requirements.Data Engineering: Facilitate efficient data flow between databases and backend systems.MLOps: Automate ML workflows, emphasizing testing and deployment practices.

Join Spotify as a Senior Machine Learning Engineer, specializing in our Generative UI Platform. In this pivotal role, you will leverage your expertise in machine learning to enhance user experiences by developing cutting-edge generative models. You will collaborate with cross-functional teams to innovate and implement solutions that redefine how users interact with our platform.

About PathwayPathway is revolutionizing artificial intelligence with the introduction of the world’s first post-transformer model that emulates human thought processes.Our innovative architecture (BDH) surpasses traditional Transformer models, offering enterprises unparalleled insight into model functionality. By merging our foundational model with the fastest data processing engine available, Pathway empowers organizations to transcend incremental improvements and achieve truly contextualized, experience-driven intelligence. Trust from esteemed clients such as NATO, La Poste, and Formula 1 racing teams underscores our impact.Guided by co-founder & CEO Zuzanna Stamirowska, a complexity scientist, our team includes AI trailblazers like CTO Jan Chorowski, who pioneered the application of Attention in speech and collaborated with Nobel laureate Geoffrey Hinton at Google Brain, and CSO Adrian Kosowski, a leading computer scientist and quantum physicist who earned his PhD at 20.Headquartered in Palo Alto, California, Pathway is supported by prominent investors and advisors, including TQ Ventures and Lukasz Kaiser, co-author of the Transformer model and a key researcher behind OpenAI’s reasoning frameworks.The OpportunityWe are seeking a talented Machine Learning DevOps Engineer with a strong background in cloud and compute cluster management, infrastructure scaling, and Linux administration. Our development, ML training, and production environments operate in the cloud, utilizing several major cloud service providers. Your role will be pivotal in managing and automating processes while scaling our infrastructure to meet the demands of our expanding team and production needs.Your ResponsibilitiesOptimize infrastructure for machine learning training and inference (e.g., GPUs, distributed computing).Automate and maintain ML/LLM pipelines (data ingestion, training, validation, deployment).Manage model versioning, ensuring reproducibility and traceability.Handle terabyte-scale datasets.Implement CI/CD practices tailored to machine learning.Monitor model performance and manage data drift in production.Collaborate with machine learning engineers, software developers, and platform teams.This role emphasizes the operationalization of machine learning models, guaranteeing scalability, reliability, and automation throughout the ML lifecycle.What We Are Looking ForStrong familiarity with Linux, shell scripts, and cluster configuration as foundational tools.Proficiency in workload management, containerization, and orchestration (e.g., Slurm, Docker, Kubernetes).Solid understanding of CI/CD tools and workflows (e.g., GitHub Actions, Jenkins).

Join Modal as a Forward Deployed Engineer specializing in Machine Learning, where you will become a pivotal member of our innovative team. You will work closely with clients, leveraging your expertise to implement and optimize machine learning solutions that drive business success.

Join Sopra Steria as an AI Engineer in the vibrant city of Stockholm, where you'll have the opportunity to contribute to cutting-edge projects that leverage artificial intelligence to drive innovation and efficiency. You will work closely with a talented team of engineers and data scientists to develop intelligent solutions that address complex challenges and enhance business processes.

Lovable serves over 2 million users worldwide, helping people build software using clear, direct language. The team seeks an AI Research Engineer specializing in post-training processes to strengthen one of the market’s fastest-growing AI products. Role overview This position focuses on the post-training pipeline for Lovable’s AI models. The work blends hands-on model training, production infrastructure, and rapid deployment of optimized models. The team values speed and expects research to become working features in days or weeks, not months. Balancing research with real-world deployment is key. What you will do Oversee the complete post-training pipeline for AI models Apply recent research to practical training methods and workflows Deploy optimized models quickly to improve user engagement Work directly with both model training and production infrastructure Deliver results that impact users and product quality Team and culture The Stockholm-based team is small, skilled, and values ownership, speed, and collaboration. Lovable’s platform supports everyone from solo founders to global enterprises, enabling rapid transformation of ideas into products. Users span more than 200 countries. Location This role is based in Stockholm.

About SanaAt Sana, we are pioneering the development of superintelligent AI for the workplace. Our vision is to empower organizations to achieve their goals with greater speed and efficiency by enabling seamless access to knowledge, automating repetitive tasks, and facilitating continuous learning through advanced agentic AI. As a proud member of the Workday family, we aim to create AI technologies that enhance human capabilities rather than replace them.Our mission is realized through two innovative products: Sana Agents, which offer a streamlined interface for accessing your organization's applications, knowledge, and data, allowing AI agents to perform real work and enabling teams to manage information at an unprecedented scale; and Sana Learn, an AI-driven learning hub that merges the ease of modern educational platforms with smart features such as an AI tutor, automated content generation, and interactive applications, transforming knowledge into actionable insights.We are a dynamic, product-focused team of engineers and designers with backgrounds at leading companies such as Google, Spotify, Apple, and Databricks. United by our commitment to technical excellence and rapid innovation, our tools currently support over a million users in enhancing their learning and work processes across numerous top-tier enterprises, and our journey is just beginning.About the RoleIn this role, you will play a pivotal role in developing the foundational agent infrastructure that drives Sana's mission to integrate superintelligence into the workplace. This is a unique opportunity to shape how AI agents strategize, reason, and execute tasks in complex enterprise environments—creating systems that effectively manage real-world complexities at scale. Your work will span agent architecture, context management, tool integration, and production infrastructure.In This Role, You WillDesign multi-step planning, orchestration, and tool routing systems for agents.Develop code generation agents and implement sandboxed code execution.Engineer strategies for memory, state management, and context grounding.Optimize for latency, quality, and cost in agent execution.Create safe fallback mechanisms, ensure graceful degradation, and establish robust error handling protocols.Collaborate with platform and search teams to build reusable agent infrastructure.Set safety standards and quantifiable quality benchmarks.What Success Looks LikeAgent architectures are resilient, dependable, and enterprise-ready.Context and memory management strategies are efficient and effective.

About PathwayPathway is revolutionizing artificial intelligence with its pioneering post-transformer model that mimics human thought processes.Our groundbreaking architecture (BDH) surpasses traditional Transformer models, providing enterprises with comprehensive insights into model functionality. By integrating this foundational model with the fastest data processing engine available, Pathway empowers organizations to transcend mere incremental improvements and embrace genuinely contextualized, experience-driven intelligence. Trusted by prestigious entities like NATO, La Poste, and Formula 1 teams, we are at the forefront of technological advancement.Founded by complexity scientist Zuzanna Stamirowska, our leadership team includes AI visionaries such as CTO Jan Chorowski, who pioneered Attention in speech processing and collaborated with Nobel laureate Geoff Hinton at Google Brain, and CSO Adrian Kosowski, a distinguished computer scientist and quantum physicist who earned his PhD at 20.With backing from esteemed investors and advisors, including TQ Ventures and Lukasz Kaiser, co-author of the Transformer model behind ChatGPT and a key figure at OpenAI, Pathway operates out of Palo Alto, California.The OpportunityWe are seeking a passionate Senior ML Infrastructure / DevOps Engineer who thrives on optimizing Linux environments, distributed systems, and GPU cluster scalability over traditional notebook usage. You will be responsible for the infrastructure that drives our machine learning training and inference workloads across diverse cloud platforms, managing everything from basic Linux setups to advanced container orchestration and CI/CD pipelines.Your role will be integral to the R&D team, focusing on production infrastructure, including clusters, networks, storage, observability, and automation. Your contributions will directly influence the speed and efficiency of model training, deployment, and iteration.Why This Role is UniqueManage and scale GPU-intensive clusters utilized daily by the R&D team for high-scale training and rapid inference.Design, build, and automate our ML platform, moving beyond the execution of predefined playbooks.Collaborate across multiple major cloud providers to tackle intriguing challenges in networking, scheduling, and cost/performance optimization at scale.Your ResponsibilitiesArchitect, operate, and scale GPU and CPU clusters for ML training and inference (Slurm, Kubernetes, autoscaling, queue management, quota management).Automate infrastructure provisioning and configuration using infrastructure-as-code (Terraform, CloudFormation, cluster tooling) and configuration management techniques.Create and uphold robust ML pipelines (data ingestion, training, evaluation, deployment) with strong assurances around reproducibility, traceability, and rollback capabilities.Implement and maintain monitoring and observability solutions to ensure maximum uptime and performance.

Join Sana: Pioneers of AI for WorkAt Sana, we are at the forefront of artificial intelligence, dedicated to creating solutions that empower organizations to reach their objectives more efficiently. Our mission is to enable teams to access information effortlessly, automate mundane tasks, and learn without limits through agentic AI technology. As a proud part of Workday, our focus remains on enhancing human capabilities rather than replacing them.We offer two innovative products: Sana Agents, which facilitate seamless access to corporate applications and data, allowing AI agents to perform real tasks that amplify team productivity; and Sana Learn, an AI-enhanced learning platform that merges modern simplicity with intelligent features, including an AI tutor and interactive applications, transforming knowledge into actionable insights.Our team is comprised of talented engineers and designers from top-tier companies like Google, Spotify, Apple, and Databricks, all driven by a passion for technical excellence and rapid development. Currently, our tools are utilized by over a million users across leading enterprises, and we are just getting started!Your Role: Senior Platform EngineerAs a Senior Platform Engineer, you will be responsible for the reliability, security, and scalability of Sana's platform, enhancing developer productivity. This position is ideal for engineers who excel in navigating cloud infrastructure, deployment, and tooling to facilitate team progress. Your work will encompass everything from multi-tenant scale-out to improving developer experiences, ensuring our platform is robust, secure, and enjoyable to utilize.Your ResponsibilitiesEnhance platform reliability, security, and scalabilityDesign and implement multi-tenant scaling (10-100x) and observability solutionsOversee incident response, performance analysis, and cost management initiativesDevelop and maintain CI/CD pipelines, testing infrastructure, and provisioning environmentsCollaborate with engineers across the platform to minimize obstacles and boost delivery speedIndicators of SuccessThe platform scales effortlessly with usage increases of 10-100x, supported by strong observability and incident managementSecurity and compliance are integral to our system architectureDeveloper productivity significantly improves, allowing teams to ship faster with fewer impedimentsCI/CD, testing infrastructure, and development environments are consistently reliable and efficient

Join Celonis, the global frontrunner in Process Intelligence technology and one of the fastest-growing SaaS companies worldwide. We recognize the immense potential to enhance productivity by embedding AI, data, and intelligence into business processes – and we need your expertise to make it happen. Are you ready to be part of this journey?Role OverviewAs a Senior Applied AI Engineer, you will collaborate directly with our key clients to grasp their objectives and challenges. Your role involves pinpointing significant AI opportunities and translating them into quantifiable business outcomes. You will leverage Celonis solutions utilizing the world's foremost Process Intelligence (PI) platform alongside leading AI and ML technology partners, including Microsoft, OpenAI, and Databricks. By integrating operational context into AI, we empower our customers to maximize the return on their AI initiatives at scale. In this role, you will prototype solutions, showcase their value to executives, and ensure successful deployment and realization of benefits, thereby expanding Celonis' presence among our clients.This role is perfect for individuals who thrive on direct customer engagement and have a knack for transforming intricate business dilemmas into actionable AI solutions. The emphasis is on problem identification, solution development, and business impact rather than solely software engineering. While prototyping AI solutions is part of the job, the overarching aim is to deliver substantial value to our clients.Key Responsibilities:Identify High-Impact AI Opportunities: Partner closely with enterprise clients to understand their strategic goals and operational hurdles, determining how AI can provide measurable business value.Design AI-Powered Solutions: Develop scalable AI solution architectures by translating complex business problems, merging the Celonis Process Intelligence platform with cutting-edge AI technologies.Prototype & Demonstrate Value: Swiftly create prototypes and proof-of-value solutions that yield tangible outcomes for business and technical stakeholders.Lead AI Innovation with Customers: Organize workshops, hackathons, and innovation sessions with clients to explore transformative AI applications in their operations.

MissionAt Neko Health, we are transforming the healthcare landscape by prioritizing prevention over treatment. Utilizing innovative, non-invasive technology combined with clinical expertise, we provide early, actionable health insights.AI Intern – Data & AI Team (Summer Internship)Location: Stockholm (on-site) Duration: Summer Internship (approximately 8–12 weeks)Team: Data & AIAbout Neko HealthNeko Health is at the forefront of preventive healthcare, leveraging advanced diagnostics, multimodal data, and cutting-edge artificial intelligence. Our aim is to enhance long-term health outcomes by facilitating earlier detection and a more profound understanding of disease risk. By integrating engineering, medical science, and machine learning, we create systems that convert complex health data into actionable insights.About the RoleWe are seeking a passionate AI Intern to join our Data & AI Team this summer. This internship will provide you with the opportunity to work directly with real-world health data and contribute to impactful early-detection solutions.As an AI Intern, you will closely collaborate with researchers, engineers, and clinicians to investigate how multimodal health data can be modeled, analyzed, and transformed into valuable preventive insights. You will function within Neko’s scientific and technical frameworks to ensure rigor, reproducibility, and measurable impact. Each intern is assigned a dedicated mentor and entrusted with a technically challenging project that aligns with Neko’s mission.What You’ll Work OnPotential projects may include:Developing machine learning models for multimodal health data (imaging, physiological signals, structured clinical data, etc.)Applying computer vision techniques to medical imaging or sensor-based dataExperimenting with foundation models and representation learning approachesPrototyping data-centric workflows for pre-processing, labeling, and evaluationDesigning and validating algorithms for early-detection insightsEvaluating model performance, robustness, and generalization in healthcare contexts.

Job ID: FEQ327R156 Role Overview Databricks is seeking a Senior Solutions Architect with deep expertise in AI and ML Engineering to join the team in Stockholm, Sweden. This specialist role serves as a key technical resource for both Databricks clients and internal Field Engineering, focusing on helping enterprise and strategic customers design scalable, production-ready machine learning and AI applications on the Databricks platform. The position involves close collaboration with Solution Architects and offers the chance to work hands-on with technologies in Generative AI, MLOps, and broader machine learning fields. There are also opportunities to mentor others and contribute to AI thought leadership within the company. What You Will Do Design and implement production-grade ML and AI solutions for clients using the Databricks platform, including agents, end-to-end ML pipelines, training and inference optimization, and integration with cloud-native services. Serve as a trusted advisor for enterprise Generative AI projects, including Retrieval-Augmented Generation (RAG) architectures, agentic systems, and natural language querying of structured data. Develop, scale, and optimize customer AI workloads, applying strong MLOps practices to support deployment across different domains. Provide advanced technical support to Solution Architects throughout the sales cycle, covering areas such as feature engineering and model monitoring, and engage with the broader ML expert community at Databricks. Collaborate with product and engineering teams to represent customer needs, help set priorities, and influence the product roadmap to support the adoption of Databricks' AI solutions.

About SanaSana is a pioneering AI lab dedicated to creating superintelligence for work. We believe that organizations can accelerate their missions when teams can seamlessly access knowledge, automate repetitive tasks, and engage in learning with the assistance of agentic AI. As a subsidiary of Workday, our commitment lies in developing AI that enhances human capabilities rather than replacing them.Our mission is actualized through two innovative products: Sana Agents, which provide an effortless way to access a company’s applications, knowledge, and data, empowering AI agents to perform real work at an unprecedented scale; and Sana Learn, an AI-driven learning hub that marries the simplicity of a modern learning platform with intelligent features such as an AI tutor, automated content generation, and interactive apps, making knowledge not just accessible but actionable.We are a team of exceptionally talented engineers and designers, hailing from industry giants like Google, Spotify, Apple, and Databricks, driven by a shared passion for technical excellence and rapid iteration. Our tools are already enhancing the productivity of over a million users across hundreds of leading enterprises - and we are just getting started.About the RoleIn this role, you will be responsible for delivering customer-facing value swiftly by collaborating in small teams - taking ownership from problem identification through to UX design, API development, and performance instrumentation. You will work end-to-end to launch features that not only delight users but also create significant impacts for Sana and our clientele.Key ResponsibilitiesTake ownership of features from design to deployment, including frontend (React/TypeScript), backend (Node/TypeScript), and database (Postgres).Integrate with agent and retrieval APIs to ensure seamless product experiences.Instrument products, conduct A/B testing, and iterate quickly in collaboration with design and product management teams.Make pragmatic trade-offs and thrive in the ambiguity of 0→1 product spaces.Work closely with stakeholders, users, and teammates to identify and solve the right challenges.Success CriteriaRapid feature deployment that delights users and drives measurable outcomes.End-to-end ownership is standard - problems are resolved rather than passed along.Product instrumentation and A/B testing guide every iteration.You will act as a force multiplier for your team, enhancing the capabilities of those around you.Embrace ambiguity as an opportunity for innovation.

Join Us in Revolutionizing Healthcare!At Tandem Health, we are on a mission to reimagine healthcare by prioritizing clinicians. Our innovative platform, crafted by clinicians for clinicians, is built on profound insights into real-world challenges, featuring intuitive medical notes and workflows that genuinely enhance patient care.As a rapidly scaling health-tech company supported by leading investors and expanding globally, we are driven by curiosity and the urgency to make a significant impact. If you are passionate about innovation and eager to contribute to meaningful change, we want to hear from you!Role OverviewWe are seeking a skilled and enthusiastic AI Engineer to join our team, developing a state-of-the-art LLM-centric application that aims to revolutionize the healthcare experience across Europe. This role presents an exciting opportunity to blend advanced AI, user-friendly design, and real-world impact in a dynamic startup environment where innovative ideas thrive. You will collaborate with a world-class team to shape the future of healthcare delivery using robust, production-grade LLM technology.Your ResponsibilitiesDesign and develop a comprehensive, LLM-driven application, integrating an intuitive user interface with backend model systems.Monitor and enhance an existing, widely used LLM application currently in production.Rapidly iterate on features to incorporate the latest advancements in LLMs, infrastructure, and user feedback.Take full ownership of the end-to-end delivery of features and solutions, from concept to deployment.Collaborate cross-functionally with product, design, and engineering teams to achieve meaningful user outcomes.QualificationsStrong background in AI engineering, particularly with LLM-focused products.Demonstrated experience in delivering production-grade applications, preferably within fast-paced or startup environments.A proactive attitude, comfort with ambiguity, and passion for solving complex challenges.A collaborative mindset, eager to work alongside top-tier colleagues and contribute to a culture that fosters great ideas.Familiarity with our core technology stack: Python, TypeScript, React, Kubernetes.A genuine motivation to help reshape healthcare in Europe while enjoying the journey.Bonus SkillsExperience with Microsoft-based infrastructure.

Role Overview roboyo is hiring a Senior Consultant focused on Intelligent Automation and AI in Stockholm. This position leads projects that use automation and artificial intelligence to improve client operations and drive transformation. What You Will Do Lead and deliver projects centered on automation and AI for clients Work closely with teams across different functions to spot opportunities for process improvement Design and implement solutions that boost operational performance Develop strategies that help clients achieve greater efficiency through technology

Join Our Team at SanaSana is an innovative AI laboratory dedicated to creating superintelligent solutions for enhancing workplace productivity. We believe that organizations can achieve their goals more efficiently when teams access knowledge seamlessly, automate mundane tasks, and leverage the power of agentic AI for continuous learning. As a proud member of Workday, we are on a mission to develop AI that complements human capabilities rather than replacing them.Our vision is brought to life through our two flagship products. Sana Agents streamline access to your organization’s applications, knowledge, and data, allowing AI agents to perform meaningful work and enabling teams to process and act on information at an unparalleled scale. Sana Learn serves as an AI-driven learning platform, blending the ease of a modern educational tool with intelligent features like AI tutoring, automated content creation, and interactive applications, ensuring knowledge is not only accessible but also actionable.Our team is composed of highly skilled engineers and designers from top-tier companies such as Google, Spotify, Apple, and Databricks, all driven by a shared commitment to technical excellence and rapid iteration. Our tools currently empower over a million users to enhance their learning and work processes across hundreds of leading enterprises, and we are just getting started.About the RoleYou will play a pivotal role in developing and optimizing the core backend systems that support Sana’s Learn platform and search infrastructure. Your mission will be to redesign and scale these systems to efficiently handle enterprise-level workloads, eliminate bottlenecks, and evolve our architecture to meet the demands of the AI era.ResponsibilitiesTransform existing components to accommodate enterprise-scale workloads.Identify and address bottlenecks in storage, query performance, APIs, and data models.Lead the transition from outdated systems to sustainable, modern solutions.Enhance the reliability and efficiency of APIs.

Join Us at LegoraAt Legora, we are on an ambitious journey to transform the legal landscape. Unlike traditional solutions that cater solely to lawyers, we collaborate with them to ensure our innovative tools meet their real-world needs. Our AI-driven workspace not only enhances efficiency but also empowers legal professionals to ask insightful questions and uncover new perspectives.We are pushing the limits of legal technology to make intricate processes more intelligent, quicker, and more user-friendly. Our advancements allow for rapid analysis of extensive documents and the creation of automated workflows, developed in partnership with top-tier legal firms.Trusted by firms like Cleary Gottlieb, Goodwin, Bird & Bird, and Linklaters across 40 countries, we are not resting on our laurels. We prioritize fast shipping, effective iteration, and strategic scaling to ensure we remain at the forefront of the industry.Joining Legora means becoming part of a team that strives for excellence and believes in collective success. If you're passionate about leveraging technology to empower lawyers and eager to create meaningful change in a dynamic environment, we want to hear from you!Be a Part of Shaping the Future of Legal TechnologyThe RoleAre you ready to elevate your AI career? At Legora, we are committed to redefining the legal industry through advanced AI and LLM technologies. We are looking for talented software engineers to join our agile team, where you will tackle complex projects and help transform the way legal professionals operate.Note: This is a full-time, in-office role based in Stockholm, as we believe in the power of collaboration.Your Responsibilities:Design and implement end-to-end AI and LLM functionalities for our web platform.Stay updated with cutting-edge LLM features and agentic tools.Utilize technologies such as React, Node.js, AWS, Azure, and Kubernetes.Take ownership of our codebase, ensuring high-quality code, security, and rapid development.

About SanaSana is an innovative AI laboratory dedicated to creating superintelligence solutions for the workplace. We believe that organizations can achieve their goals more efficiently when teams have seamless access to knowledge, can automate repetitive tasks, and have the ability to learn anything through agentic AI. As a subsidiary of Workday, our mission is to develop AI that enhances human capabilities rather than replacing them.Our vision is realized through two flagship products: Sana Agents and Sana Learn. Sana Agents provide a streamlined interface to access all company applications, knowledge bases, and data, empowering AI agents to perform meaningful work and enabling teams to process and act on information at an unprecedented scale. Sana Learn is an AI-driven learning platform that fuses the ease of modern learning environments with intelligent features such as an AI tutor, automated content creation, and interactive applications, transforming knowledge into actionable insights.We are a team of highly skilled engineers and designers from top-tier companies like Google, Spotify, Apple, and Databricks, all driven by a passion for technical excellence and rapid innovation. Our tools already support over a million users to enhance their learning and work efficiency across hundreds of leading enterprises, and we are just getting started.About the RoleAs a Backend Engineer, you will be instrumental in building and enhancing the core services that power our agents and product features, focusing on enterprise-scale workloads, performance optimization, and sustainable architecture. You will lead the architecture and system design to ensure our platform can accommodate high data volumes, diverse entities, and meet the demands of enterprise clients.Key ResponsibilitiesDesign and decompose services and APIs for scalability and clarity.Develop eventing and queue systems for reliable, high-throughput data flows.Oversee schema evolution, migrations, query/index optimization, and caching strategies.Establish and enforce consistency models and multi-region readiness.Optimize for performance budgets and privacy/tenant isolation.Work hands-on with TypeScript/Node, Postgres, and distributed systems.Success MetricsCore services are dependable, scalable, and easily adaptable.Potential risks are identified and mitigated proactively.APIs are clear, well-documented, and facilitate seamless product experiences.