Albert Invent

Drive the design, automation, and reliability of Albert Invent’s core platform to support scalable, high-performance AI applications.

You will partner closely with Product Engineering and SRE teams to ensure security, resiliency, and developer productivity while owning end-to-end service operability.

Key Responsibilities

• Own the design, reliability, and operability of Albert’s mission-critical platform.
• Work closely with Product Engineering and SRE to build scalable, secure, and high-performance services.
• Plan and deliver core platform capabilities that improve developer velocity, system resilience, and scalability.
• Maintain a deep understanding of microservices topology, dependencies, and behavior.
• Act as the technical authority for performance, reliability, and availability across services.
• Drive automation and orchestration across infrastructure and operations.
• Serve as the final escalation point for complex or undocumented production issues.
• Lead root-cause analysis, mitigation strategies, and long-term system improvements.
• Mentor engineers in building robust, automated, and production-grade systems.
• Champion best practices in SRE, reliability, and platform engineering.

Must-Have Requirements

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
• 4+ years of strong backend coding in Python or Node.js.
• 4+ years of overall software engineering experience, including 2+ years in an SRE / automation-focused role.
• Strong hands-on experience with Infrastructure as Code (Terraform preferred).
• Deep experience with AWS cloud infrastructure and distributed systems (microservices, APIs, service-to-service communication).
• Experience with observability systems – logs, metrics, and tracing.
• Experience using CI/CD pipelines (e.g., CircleCI).
• Performance testing experience using K6 or similar tools.
• Strong focus on automation, standards, and operational excellence.
• Experience building low-latency APIs (< 200ms response time).
• Ability to work in fast-paced, high-ownership environments.
• Proven ability to lead technically, mentor engineers, and influence engineering quality.

Good-to-Have Skills

• Kubernetes and container orchestration experience.
• Observability tools such as Prometheus, Grafana, OpenTelemetry, Datadog.
• Experience building Internal Developer Platforms (IDPs) or reusable engineering frameworks.
• Exposure to ML infrastructure or data engineering pipelines.
• Experience working in compliance-driven environments (SOC2, HIPAA, etc.).

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:

• 4+ 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.

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.

Senior Staff Engineer 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.

To design, build, and optimize scalable data infrastructure and pipelines that enable efficient

data collection, transformation, and analysis across the organization. The Senior Data Engineer

will play a key role in driving data architecture decisions, ensuring data quality and availability,

and empowering analytics, product, and engineering teams with reliable, well-structured data to

support business growth and strategic decision-making.

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:

• 4+ 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 PostgreSQL, DynamoDB, S3, GraphQL, or

vector databases.

• 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 distributed systems, data partitioning, and consistency models.

• Familiarity with observability stacks (Prometheus, Grafana, OpenTelemetry) and

debugging production bottlenecks.

• Deep understanding of cloud infrastructure (preferably AWS), including networking, IAM,

and cost optimization.

• Prior experience building multi-tenant systems with strict performance and isolation

guarantees.

• Excellent communication and collaboration skills to influence cross-functional technical

decisions.