{"company":" About Albert Invent Albert s mission is to Digitalize the World of Chemistry, using data and machine learning to drastically accelerate the invention of new materials. We are looking for individuals to join our strategy team to shape and execute our value creation strategy. If youre passionate about cutting-edge technology and love working in a fast-paced startup culture, we want you on our team! We are looking for a Staff Engineer with strong expertise in designing and scaling data systems that support high-throughput, low-latency applications. This role is ideal for someone who enjoys working at the intersection of data architecture, distributed systems, and performance optimization - across a diverse set of use cases including AI pipelines, SQL-based analytics, search frameworks, NoSQL storage such as DynamoDB based APIs. You will lead the design and evolution of our core data platforms and infrastructure that powers our AI models, analytical queries, and operational workloads. ","role":" Responsibilities: Architect, implement, and optimize data infrastructure across structured, semi-structured, and unstructured data flows (e.g., OpenSearch, SQL engines, DynamoDB) Working on large-scale, enterprise API services involving multi-tenancy, machine learning, micro-services, and NoSQL infrastructure Building micro-service architecture using one or more cloud providers - AWS/Azure Design and scale multi-tenant data pipelines, ensuring performance, availability, and cost efficiency Collaborate with product and engineering teams to define and implement high-performance APIs that integrate across services and databases Evaluate trade-offs between SQL/NoSQL choices for different product modules and build reusable abstractions Ensure that security, compliance, and observability are built into the core of all data workflows (encryption, RBAC, logging, metrics) Optimize resource utilization, indexing strategies, and compute/storage balance across AWS services (Lambda, S3, ECS, DynamoDB, OpenSearch) Partner with Product Eng and SRE teams to define resilience and disaster recovery strategies for all data systems Define and evangelize best practices around schema versioning, query optimization and data consistency Guide the team on data lifecycle management, including archival, retention, and access control policies Mentor other engineers on scalable systems design, clean architectural thinking, and performance tuning. Requirements: 10+ years of experience in backend or infrastructure engineering, with a focus on large-scale data systems. Proficiency in one or more of the programming languages - Nodejs and Python Proven experience working on large-scale, enterprise API services involving multi-tenancy, machine learning, micro-services, and NoSQL infrastructure Hands-on experience with technologies like PostgreSQL, DynamoDB, OpenSearch, S3, GraphDB and vector databases. Proficiency in building micro-service architecture using one or more cloud providers - AWS/Azure. Strong understanding of web and API standards such as HTTP, DNS, Caching, and CDN architectures Solid foundation in distributed systems, data partitioning, and consistency models. Familiarity with observability stacks (Prometheus, Grafana, OpenTelemetry) and debugging production bottlenecks. Prior experience building multi-tenant systems with strict performance and isolation guarantees. Excellent communication and collaboration skills to influence cross-functional technical decisions. Culture : The Albert team uses an iterative/agile development methodology, and you will be a key contributor in the entire development cycle. At Albert, we put a great deal of emphasis on collaboration and maintaining an open working environment - having great coworkers is one of the biggest determinants for enjoying your work, and we take our enjoyment of work very seriously Your opinions matter. We are driven by technology and innovation, and we look to the smartest, most passionate people on the team as the source of ideas. Why Albert : The product is loved and used by thousands of users. Small team. Flexible hrs. Meet for collaboration, learning, and socializing. Think differently. Challenge status Quo. Result oriented. Global, Diverse & down to earth. No micro-management. Build software for a sustainable future. Hiring based on Fundamentals, Attitude, diverse Thinking, and Experience. "},"
Role Overview: As a Content Enablement Specialist at Albert Invent, your primary focus will be on designing impactful sales pitch decks and video content to support the sales process in the US, Europe, and Japan markets. You will be responsible for developing and maintaining a comprehensive library of sales decks, scripting and editing video assets, mapping the buyers journey, integrating interactive and embedded media, collaborating cross-functionally, analyzing content performance, providing enablement training, and ensuring content governance. Key Responsibilities: - Develop, maintain, and iterate a library of sales decks tailored to different stages of the sales funnel for global commercial teams. - Script and edit various video assets to support sales, onboarding, and customer success efforts. - Map the buyers journey and deliver appropriate content at each stage. - Integrate interactive demos and embedded content into decks for increased engagement. - Collaborate with product marketing, design, and sales enablement teams to create compelling assets. - Support content versioning and localization for US, European, and Japanese audiences. - Monitor content analytics to optimize decks and videos continuously. - Educate and support sales teams on effectively using and presenting content assets. - Organize and maintain a central library of approved decks, videos, and templates for sales team use. Qualifications Required: - Bachelor's degree in Science, Engineering, Business, or Communications. - 2-5 years of experience in sales enablement, content creation, or related functions, preferably in SaaS/tech/scientific industries. - Proficiency in slide design (PowerPoint) and content preparation for .pdf collateral. - Experience in producing sales or product videos with tools like Loom. - Ability to translate technical product content into persuasive messaging for commercial stakeholders. - Strong communication, presentation, organizational, and project management skills. - Flexibility to collaborate across different time zones and attend virtual meetings outside standard hours. Additional Company Details: Albert Invent's mission is to digitalize the chemistry world using data and machine learning to accelerate materials discovery. By joining Albert, you will have the opportunity to create mission-critical assets that directly impact deal outcomes worldwide. You will work at the intersection of science, software, and storytelling in a cutting-edge domain within a remote/distributed culture that offers a strong global reach and exposure. Albert values inclusivity, growth, and creativity, making it an environment where your voice and ideas are valued.,
The Software Engineer – SRE will be responsible for building and maintaining highly reliable, scalable, and secure infrastructure that powers the Albert platform. This role focuses on automation, observability, and operational excellence to ensure seamless deployment, performance, and reliability of core platform services. Key Responsibilities Act as a passionate representative of the Albert product and brand. Collaborate with Product Engineering and other stakeholders to plan and deliver core platform capabilities that enable scalability, reliability, and developer productivity. Work with the Site Reliability Engineering (SRE) team on shared full-stack ownership of a collection of services and/or technology areas. Understand the end-to-end configuration, technical dependencies, and overall behavioral characteristics of all microservices. Design and deliver the mission-critical stack, focusing on security, resiliency, scale, and performance. Take ownership of end-to-end performance and operability. Apply strong knowledge of automation and orchestration principles. Serve as the ultimate escalation point for complex or critical issues not yet documented as Standard Operating Procedures (SOPs). Troubleshoot and define mitigations using a deep understanding of service topology and dependencies. Requirements Bachelor’s degree in Computer Science, Engineering, or equivalent experience. 2+ years of software engineering experience, with at least 1 year in an SRE role focused on automation. Strong experience in Infrastructure as Code (IAC), preferably using Terraform. Proficiency in Python or Node.js, with experience designing RESTful APIs and working in microservices architecture. Solid expertise in AWS cloud infrastructure and platform technologies including APIs, distributed systems, and microservices. Hands-on experience with observability stacks, including centralized log management, metrics, and tracing. Familiarity with CI/CD tools (e.g., CircleCI) and performance testing tools like K6. Passion for bringing automation and standardization to engineering operations. Ability to build high-performance APIs with low latency ( Ability to work in a fast-paced environment, learning from peers and leaders. Demonstrated ability to mentor other engineers and contribute to team growth, including participation in recruiting activities. Good to Have Experience with Kubernetes and container orchestration. Familiarity with observability tools such as Prometheus, Grafana, OpenTelemetry, or Datadog. Experience building Internal Developer Platforms (IDPs) or reusable frameworks for engineering teams. Exposure to ML infrastructure or data engineering workflows. Experience working in compliance-heavy environments (e.g., SOC2, HIPAA). Skills:- Automation, Terraform, Python, NodeJS (Node.js) and Amazon Web Services (AWS)
Responsibilities Develop, and maintain SQL and NoSQL databases, ensuring high performance, scalability, and reliability. Collaborate with the API team and Data Science team to build robust data pipelines and automations. Work closely with stakeholders to understand database requirements and provide technical solutions. Optimize database queries and performance tuning to enhance overall system efficiency. Implement and maintain data security measures, including access controls and encryption. Monitor database systems and troubleshoot issues proactively to ensure uninterrupted service. Develop and enforce data quality standards and processes to maintain data integrity. Create and maintain documentation for database architecture, processes, and procedures. Stay updated with the latest database technologies and best practices to drive continuous improvement. Expertise in SQL queries and stored procedures, with the ability to optimize and fine-tune complex queries for performance and efficiency. Experience with monitoring and visualization tools such as Grafana to monitor database performance and health Requirements Bachelor’s degree in Computer Science, Engineering, or equivalent experience 2+ years of experience in data engineering, with a focus on large-scale data systems. Proven experience designing data models and access patterns across SQL and NoSQL ecosystems. Hands-on experience with technologies like SQL, DynamoDB, S3, and Lambda services. Proficient in SQL stored procedures with extensive expertise in MySQL schema design, query optimization, and resolvers, along with hands-on experience in building and maintaining data warehouses. Strong programming skills in Python or JavaScript, with the ability to write efficient, maintainable code. Familiarity with observability stacks (Prometheus, Grafana, Open Telemetry) and debugging production bottlenecks. Understanding cloud infrastructure (preferably AWS), including networking, IAM, and cost optimization. Excellent communication and collaboration skills to influence cross-functional technical decisions. Skills:- Python, SQL, AWS Lambda, Snow flake schema and Amazon Redshift
To lead the design, development, and optimization of high-scale search and discovery systems leveraging deep expertise in OpenSearch. The Search Staff Engineer will enhance search relevance, query performance, and indexing efficiency by utilizing OpenSearch's full-text, vector search, and analytics capabilities. This role focuses on building real-time search pipelines, implementing advanced ranking models, and architecting distributed indexing solutions to deliver a high-performance, scalable, and intelligent search experience. Responsibilities Architect, develop, and maintain a scalable OpenSearch-based search infrastructure for high-traffic applications. Optimize indexing strategies, sharding, replication, and query execution to improve search performance and reliability. Implement cross-cluster search, multi-tenant search solutions, and real-time search capabilities. Ensure efficient log storage, retention policies, and lifecycle management in OpenSearch. Monitor and troubleshoot performance bottlenecks, ensuring high availability and resilience. Design and implement real-time and batch indexing pipelines for structured and unstructured data. Optimize schema design, field mappings, and tokenization strategies for improved search performance. Manage custom analyzers, synonyms, stopwords, and stemming filters for multilingual search. Ensure search infrastructure adheres to security best practices, including encryption, access control, and audit logging. Optimize search for low latency, high throughput, and cost efficiency. Collaborate cross-functionally with engineering, product, and operations teams to ensure seamless platform delivery. Define and communicate a strategic roadmap for Search initiatives aligned with business goals. Work closely with stakeholders to understand database requirements and provide technical solutions. Requirements 8+ years of experience in search engineering, with at least 3+ years of deep experience in OpenSearch. Strong expertise in search indexing, relevance tuning, ranking algorithms, and query parsing. Hands-on experience with OpenSearch configurations, APIs, shards, replicas, and cluster scaling. Strong programming skills in Node.js and Python and experience with OpenSearch SDKs. Proficiency in REST APIs, OpenSearch DSL queries, and aggregation frameworks. Knowledge of observability, logging, and monitoring tools (Prometheus, OpenTelemetry, Grafana). Experience managing OpenSearch clusters on AWS OpenSearch, Containers, or self- hosted environments. Strong understanding of security best practices, role-based access control (RBAC), encryption, and IAM. Familiarity with multi-region, distributed search architectures. Strong analytical and debugging skills, with a proactive approach to identifying and mitigating risks. Exceptional communication skills, with the ability to influence and drive consensus among stakeholders. Skills:- Search Engine Optimization (SEO), Elastic Search and Python
To design, develop, and maintain highly scalable, secure, and efficient backend systems that power core business applications. The Senior Engineer Backend will be responsible for architecting APIs, optimizing data flow, and ensuring system reliability and performance. This role will collaborate closely with frontend, DevOps, and product teams to deliver robust solutions that enable seamless user experiences and support organizational growth through clean, maintainable, and well-tested code. Responsibilities Design, develop, and maintain robust and scalable backend services using Node.js. Collaborate with front-end developers and product managers to define and implement API specifications. Optimize application performance and scalability by identifying bottlenecks and proposing solutions. Write clean, maintainable, and efficient code, and conduct code reviews to ensure quality standards. Develop unit tests and maintain code coverage to ensure high quality. Document architectural solutions and system designs to ensure clarity and maintainability. Troubleshoot and resolve issues in development, testing, and production environments. Stay up to date with emerging technologies and industry trends to continuously improve our tech stack. Mentor and guide junior engineers, fostering a culture of learning and growth. Key Skills And Qualifications Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience). 7+ years of experience in backend development with a focus on Node.js and Javascript. Strong understanding of RESTful APIs and microservices architecture. Proficiency in database technologies (SQL and NoSQL, such as DynamoDB, MongoDB, PostgreSQL, etc.). Familiarity with containerization and orchestration technologies (Docker, Kubernetes). Knowledge of cloud platform (AWS) and deployment best practices. Excellent problem-solving skills and the ability to work in a fast-paced environment. Strong communication and teamwork skills. Good To Have Experience with front-end frameworks (e.g. Angular, React, Vue.js). Understanding of HTML, CSS, and JavaScript. Familiarity with responsive design and user experience principles. Skills:- NodeJS (Node.js), SQL, MySQL, Amazon Web Services (AWS), Windows Azure, Angular (2+) and React.js
Responsibilities Develop, and maintain SQL and NoSQL databases, ensuring high performance, scalability, and reliability. Collaborate with the API team and Data Science team to build robust data pipelines and automations. Work closely with stakeholders to understand database requirements and provide technical solutions. Optimize database queries and performance tuning to enhance overall system efficiency. Implement and maintain data security measures, including access controls and encryption. Monitor database systems and troubleshoot issues proactively to ensure uninterrupted service. Develop and enforce data quality standards and processes to maintain data integrity. Create and maintain documentation for database architecture, processes, and procedures. Stay updated with the latest database technologies and best practices to drive continuous improvement. Expertise in SQL queries and stored procedures, with the ability to optimize and fine-tune complex queries for performance and efficiency. Experience with monitoring and visualization tools such as Grafana to monitor database performance and health Requirements Bachelor's degree in Computer Science, Engineering, or equivalent experience 2+ years of experience in data engineering, with a focus on large-scale data systems. Proven experience designing data models and access patterns across SQL and NoSQL ecosystems. Hands-on experience with technologies like SQL, DynamoDB, S3, and Lambda services. Proficient in SQL stored procedures with extensive expertise in MySQL schema design, query optimization, and resolvers, along with hands-on experience in building and maintaining data warehouses. Strong programming skills in Python or JavaScript, with the ability to write efficient, maintainable code. Familiarity with observability stacks (Prometheus, Grafana, Open Telemetry) and debugging production bottlenecks. Understanding cloud infrastructure (preferably AWS), including networking, IAM, and cost optimization. Excellent communication and collaboration skills to influence cross-functional technical decisions. Skills:- Python, SQL, AWS Lambda, Snow flake schema and Amazon Redshift
To lead the development of robust, scalable, and visually engaging frontend applications that deliver exceptional user experiences. The Senior Engineer Frontend will drive architectural decisions, implement best practices in UI/UX, and ensure seamless integration with backend systems. This role focuses on building high-performance, maintainable interfaces while mentoring junior engineers and contributing to the continuous improvement of the overall product development process. Responsibilities Partner closely with Product Owner and tech lead to discover, design, develop and deploy great financial tools and products that provide meaningful value to our customers. Develop, Unit tests and deploy components. Integrate UI application with rest APIs. Primary technologies focused on modern front-end - Advanced JS ES6, React, Redux, Angular Js and other modern JS frameworks, HTML/CSS. Troubleshoot and resolve issues in development, testing, and production environments. Stay up to date with emerging technologies and industry trends to continuously improve our tech stack. Mentor and guide junior engineers, fostering a culture of learning and growth. Requirements Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience). 7+ years of practical experience and proven success with the design, development and operation of complex web applications. Strong experience with modern and vanilla JavaScript and Typescript techniques including JSX and ES6/ES7 features Familiarity connecting to microservices, REST APIs, graph APIs, and other database- driven web applications Experience with third-party libraries and APIs Asynchronous programming including Promises, async/await, and ES7 generators Knowledge of modern authorization mechanisms, such as JSON Web Token Familiarity with modern front-end build pipelines and tools Experience with common front-end development tools such as Babel, Webpack, NPM, etc. Broad technical knowledge across a majority, with deeper knowledge in, the following: Web application development, Software engineering and/or testing; Data analysis. Excellent problem-solving skills and the ability to work in a fast-paced environment. Strong communication and teamwork skills. Good To Have Experience in Node.js is a plus Experience in Databases (MySQL, Postgres) will be a plus Understanding of RESTful services Skills:- Javascript, TypeScript, React.js, NodeJS (Node.js) and Angular (2+)
The Software Engineer SRE will be responsible for building and maintaining highly reliable, scalable, and secure infrastructure that powers the Albert platform. This role focuses on automation, observability, and operational excellence to ensure seamless deployment, performance, and reliability of core platform services. Key Responsibilities Act as a passionate representative of the Albert product and brand. Collaborate with Product Engineering and other stakeholders to plan and deliver core platform capabilities that enable scalability, reliability, and developer productivity. Work with the Site Reliability Engineering (SRE) team on shared full-stack ownership of a collection of services and/or technology areas. Understand the end-to-end configuration, technical dependencies, and overall behavioral characteristics of all microservices. Design and deliver the mission-critical stack, focusing on security, resiliency, scale, and performance. Take ownership of end-to-end performance and operability. Apply strong knowledge of automation and orchestration principles. Serve as the ultimate escalation point for complex or critical issues not yet documented as Standard Operating Procedures (SOPs). Troubleshoot and define mitigations using a deep understanding of service topology and dependencies. Requirements Bachelor's degree in Computer Science, Engineering, or equivalent experience. 2+ years of software engineering experience, with at least 1 year in an SRE role focused on automation. Strong experience in Infrastructure as Code (IAC), preferably using Terraform. Proficiency in Python or Node.js, with experience designing RESTful APIs and working in microservices architecture. Solid expertise in AWS cloud infrastructure and platform technologies including APIs, distributed systems, and microservices. Hands-on experience with observability stacks, including centralized log management, metrics, and tracing. Familiarity with CI/CD tools (e.g., CircleCI) and performance testing tools like K6. Passion for bringing automation and standardization to engineering operations. Ability to build high-performance APIs with low latency ( Ability to work in a fast-paced environment, learning from peers and leaders. Demonstrated ability to mentor other engineers and contribute to team growth, including participation in recruiting activities. Good to Have Experience with Kubernetes and container orchestration. Familiarity with observability tools such as Prometheus, Grafana, OpenTelemetry, or Datadog. Experience building Internal Developer Platforms (IDPs) or reusable frameworks for engineering teams. Exposure to ML infrastructure or data engineering workflows. Experience working in compliance-heavy environments (e.g., SOC2, HIPAA). Skills:- Automation, Terraform, Python, NodeJS (Node.js) and Amazon Web Services (AWS)
will play a critical role in shaping the technical direction and long-term architecture of the Albert platform. This role is responsible for driving scalable, reliable, and high- impact software engineering that align with business goals and customer needs. The position requires a strong balance of technical depth, execution excellence, and cross-functional leadership to accelerate product development while maintaining high standards of quality, performance, and maintainability Responsibilities Technical Leadership Drive the architectural vision for core product areas across the Albert platform. Own the technical roadmap for major product features, ensuring alignment with business priorities and long-term platform evolution. Lead the design and development of highly reliable, performant, and scalable applications using modern tech stack. Establish durable engineering patterns and frameworks that enable product teams to move quickly with high confidence. Provide mentorship to Staff, Senior, and Mid-level engineers to uplevel engineering capabilities across product teams Execution Excellence Translate business goals and customer needs into scalable technical designs that accelerate product development. Solve complex, multi-system issues and guide teams through debugging, incident response, and performance improvements. Lead design reviews, define coding standards, and elevate system observability, reliability, and maintainability. Drive technical decisions involving tradeoffs between speed, quality, and scalability, bringing clarity to ambiguity. Identify, prioritise, and drive down technical debt that impacts product velocity and quality Cross-Team Influence & Collaboration Work with senior technical leadership to establish and uphold company-wide architectural standards and engineering practices. Partner closely with PMs to shape feature requirements, estimate complexity, and define engineering milestones. Collaborate with engineering, data, ML, and infra teams to develop cohesive, well-integrated product experiences Requirements Bachelor’s degree in Computer Science, Engineering, or equivalent experience. 12+ years of software engineering experience, with 3+ years in senior technical leadership roles supporting product-oriented teams. Proven ability to lead end-to-end product development at scale — from concept through production rollout. Deep expertise in modern backend technologies, including Node.js, RESTful API design, backend services, and distributed system fundamentals, with strong proficiency across multiple programming languages. Strong understanding of product architecture patterns: domain-driven design, modular monoliths, micro-services, event-driven systems. Proficiency with SQL & NoSQL databases (PostgreSQL, DynamoDB, MongoDB, etc.). Significant experience with AWS services and modern cloud architectures. Strong product intuition — ability to understand user needs, evaluate tradeoffs, and craft solutions that balance speed with quality. Outstanding communication, collaboration, and organisational influence skills Good To Have Experience with modern front-end frameworks such as React. Experience building AI- or ML-driven user experiences. Experience scaling a product engineering team from 1 to N About Albert Invent Albert Invent is a cutting-edge AI-driven software company headquartered in Oakland, California, on a mission to empower scientists and innovators in chemistry and materials science to invent the future faster. Every day, scientists in 30+ countries use Albert to accelerate R&D with AI trained like a chemist, bringing better products to market, faster. Why Join Albert Invent Joining Albert Invent means becoming part of a mission-driven, fast-growing global team at the intersection of AI, data, and advanced materials science. You will collaborate with world-class scientists and technologists to redefine how new materials are discovered, developed, and brought to market. The culture is built on curiosity, collaboration, and ownership, with a strong focus on learning and impact. Skills:- NodeJS (Node.js), Amazon Web Services (AWS), Javascript, Information architecture and SaaS
Seeking a Senior Staff Cloud Engineer who will lead the design, development, and optimization of scalable cloud architectures, drive automation across the platform, and collaborate with cross-functional stakeholders to deliver secure, high-performance cloud solutions aligned with business goals Responsibilities Cloud Architecture & Strategy Define and evolve the company’s cloud architecture, with AWS as the primary platform. Design secure, scalable, and resilient cloud-native and event-driven architectures to support product growth and enterprise demands. Create and scale up our platform for integrations with our enterprise customers (webhooks, data pipelines, connectors, batch ingestions, etc) Partner with engineering and product to convert custom solutions into productised capabilities. Security & Compliance Enablement Act as a foundational partner in building out the company’s security andcompliance functions. Help define cloud security architecture, policies, and controls to meet enterprise and customer requirements. Guide compliance teams on technical approaches to SOC2, ISO 27001, GDPR, and GxP standards. Mentor engineers and security specialists on embedding secure-by-design and compliance-first practices. Customer & Solutions Enablement Work with Solutions Engineering and customers to design and validate complex deployments. Contribute to processes that productise custom implementations into scalable platform features. Leadership & Influence Serve as a technical thought leader across cloud, data, and security domains. Collaborate with cross-functional leadership (Product, Platform, TPM, Security) to align technical strategy with business goals. Act as an advisor to security and compliance teams during their growth, helping establish scalable practices and frameworks. Represent the company in customer and partner discussions as a trusted cloud and security subject matter expert. Data Platforms & Governance Provide guidance to the data engineering team on database architecture, storage design, and integration patterns. Advise on selection and optimisation of a wide variety of databases (relational, NoSQL, time-series, graph, analytical). Collaborate on data governance frameworks covering lifecycle management, retention, classification, and access controls. Partner with data and compliance teams to ensure regulatory alignment and strong data security practices. Developer Experience & DevOps Build and maintain tools, automation, and CI/CD pipelines that accelerate developer velocity. Promote best practices for infrastructure as code, containerisation, observability, and cost optimisation. Embed security, compliance, and reliability standards into the development lifecycle. Requirements 12+ years of experience in cloud engineering or architecture roles. Deep expertise in AWS and strong understanding of modern distributed application design (microservices, containers, event-driven architectures). Hands-on experience with a wide range of databases (SQL, NoSQL, analytical, and specialized systems). Strong foundation in data management and governance, including lifecycle and compliance. Experience supporting or helping build security and compliance functions within a SaaS or enterprise environment. Expertise with IaC (Terraform, CDK, CloudFormation) and CI/CD pipelines. Strong foundation in networking, security, observability, and performance engineering. Excellent communication and influencing skills, with the ability to partner across technical and business functions. Good To Have Exposure to Azure, GCP, or other cloud environments. Experience working in SaaS/PaaS at enterprise scale. Background in product engineering, with experience shaping technical direction in collaboration with product teams. Knowledge of regulatory and compliance standards (SOC2, ISO 27001, GDPR, and GxP). About Albert Invent Albert Invent is a cutting-edge AI-driven software company headquartered in Oakland, California, on a mission to empower scientists and innovators in chemistry and materials science to invent the future faster. Every day, scientists in 30+ countries use Albert to accelerate R&D with AI trained like a chemist, bringing better products to market, faster. Why Join Albert Invent Joining Albert Invent means becoming part of a mission-driven, fast-growing global team at the intersection of AI, data, and advanced materials science. You will collaborate with world-class scientists and technologists to redefine how new materials are discovered, developed, and brought to market. The culture is built on curiosity, collaboration, and ownership, with a strong focus on learning and impact. You will enjoy the opportunity to work on cutting-edge AI tools that accelerate real- world R&D and solve global challenges from sustainability to advanced manufacturing while growing your careers in a high-energy environment. Skills:- Amazon Web Services (AWS), DevOps, Cloud Computing, Security Information and Event Management (SIEM), Databases, Enterprise application integration and Windows Azure