Lead Platform Engineer, TetraScience
More information about location
Scientific data and AI cloud company
Be an early applicant
Scientific data and AI cloud company
101-200 employees
Be an early applicant
More information about location
101-200 employees
Company mission
To radically improve and extend human life.
Role
Who you are
- This is a highly impactful role for an engineer who’s passionate about distributed systems, understands the trade-offs of large-scale design, and thrives on turning ambitious scalability goals into concrete technical strategies
- If you’re excited by the challenge of architecting cloud-native infrastructure to power massive growth and thrive on solving complex scalability problems, we’d love to hear from you
- 10+ years of hands-on experience in software and infrastructure engineering, with a proven track record of designing, building, and scaling distributed, cloud-native systems in production environments
- Demonstrated experience as a technical leader or architect, making key decisions on system design, scalability, performance, and cost optimization
- Strong proficiency in API-first design, including REST, GraphQL, and OpenAPI specifications designing APIs that are scalable, secure, versioned, and extensible
- Strong proficiency in TypeScript and Python, with a focus on building highly performant backend services
- Expertise in AWS cloud services and architecture, including deep experience with core services (e.g., EC2, Lambda, ECS/EKS, IAM, S3) and advanced data and messaging tools such as SQS, Kinesis, Kafka, and EventBridge
- Expert knowledge of infrastructure-as-code frameworks such as CloudFormation and CDK, CI/CD pipelines, and strong opinions on production deployment strategy across dozens of platforms
- Solid understanding of observability best practices, including monitoring, alerting, and distributed tracing for SLI/SLO/SLA design
- Ability to articulate ideas clearly, present findings persuasively, and build rapport with clients and team members
- Strong collaboration skills and the ability to partner effectively with cross-functional teams
What the job involves
- As a Lead Platform Engineer, you will play a critical role in evolving and scaling our cloud-native Tetra data platform to handle 100× growth in data volume and user demand
- You’ll partner with engineering, data, and AI teams to design scalable architectures, proactively anticipate and mitigate scaling challenges, and ensure our platform remains performant, reliable, and cost-efficient as it grows
- Architect and evolve our cloud-native platform infrastructure to support high-throughput, low-latency data processing patterns, customer-facing features, and design platform to meet scalability requirements
- Design scalable, distributed systems powering complex capabilities such as authentication & authorization, data lifecycle management, search infrastructure, operational intelligence, and real-time event processing
- Proactively analyze platform performance and scalability; identify potential constraints and define strategies that enable both continuous and step-function growth
- Collaborate with engineering and product teams to deliver infrastructure that supports new services, customer-facing applications, and high-volume data processing workloads
- Build and maintain infrastructure-as-code (e.g. , CloudFormation, AWS CDK) to automate, standardize, and secure deployments to support online upgrades and on-demand infrastructure allocation
- Enhance observability and monitoring to ensure reliability, cost efficiency, and rapid incident response
- Champion best practices in distributed systems design, scalability, and performance optimization, and share architectural insights through design reviews and technical documentation
Our take
TetraScience connects lab instruments, software, and data applications through a cloud-native platform that’s purpose-built for the bio and pharma industries. As the only software of its kind, it provides scientific data that can be transformed into faster actionable information, accelerating new scientific discoveries.
Due to TetraScience’s machine learning capabilities, it benefits from partnerships and collaborations with other science-focused tech companies. Recently, TetraScience announced a strategic partnership with Google Cloud to speed up drug development and other scientific discoveries. This partnership combines the Tetra Scientific Data and AI Cloud with Google Cloud’s infrastructure and AI technologies, empowering the life science industry to harness Scientific AI for quicker insights and improved research, development, and quality-control processes for advanced therapies.
With substantial funding behind it, TetraScience is a significant asset to the scientific community. The company's commitment to innovation and collaboration ensures it remains at the forefront of accelerating scientific research and discovery, with its partnerships and technological advancements driving continuous growth and impact in the industry.
Steph
Company Specialist at Welcome to the Jungle
Insights
6% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Apr 2021
$80m
SERIES B
May 2020
$11m
SERIES A
Total funding: $117.1m
Company benefits
- Unlimited PTO
- 100% Company Paid Health, Dental & Vision
- Company Paid Life Insurance
- 401k Savings
- Company Paid Disability Insurance
- Equity Program
Company HQ
Back Bay, Boston, MA
Leadership
Siping Wang
(President & CTO)Previously COO and CEO at TetraScience and Software Engineering at Cornell Superconducting RF Lab.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 13 more jobs at TetraScience