

Albert Invent
https://albertinvent.comAbout
Albert Invent is a cutting-edge R&D software company that’s built by scientists, for scientists. Their cloud-based platform unifies lab data, digitises workflows and uses AI/ML to help materials and chemical R&D teams invent faster and smarter. With thousands of researchers in 30+ countries already using the platform, Albert Invent is helping transform how chemistry-led companies go from idea to product.
What sets them apart: built specifically for chemistry and materials science (not generic SaaS), with deep integrations (ELN, LIMS, AI/ML) and enterprise-grade security and compliance.
Tech stack
Candid answers by the company
Their platform brings together electronic lab notebook (ELN) functionality, laboratory information management systems (LIMS), inventory tracking, AI/ML for molecular and formulation predictions, and process automation — all in one end-to-end solution.
Connect with the team
Jobs at Albert Invent
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.
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 (<200ms).
- 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).
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.
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.
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
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