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:

• 9+ 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.