
Cloud-based R&D platform for biotech
Engineering Leader, Infrastructure
必备技能
AWS
Kubernetes
Biotechnology is rewriting life as we know it, from the medicines we take, to the crops we grow, the materials we wear, and the household goods that we rely on every day. But moving at the new speed of science requires better technology.
Benchling’s mission is to unlock the power of biotechnology. The world’s most innovative biotech companies use Benchling’s R&D Cloud to power the development of breakthrough products and accelerate time to milestone and market.
Come help us bring modern software to modern science.
ROLE OVERVIEW:
Benchling is hiring an Engineering Manager to lead a team within Infrastructure Engineering. This is a highly technical leadership role for someone with hands-on experience building modern cloud infrastructure and services platforms, paired with strong people leadership. You’ll work closely across Infrastructure and Platform. You'll be partnering with product engineering teams and other leaders to improve reliability, scalability, security, and developer productivity in a regulated environment.
We’re specifically looking for a leader with a software engineering and infrastructure background, not just operations. Experience with incident management and managing SRE teams is a plus.
RESPONSIBILITIES:
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Lead and grow a team of infrastructure engineers including hiring, coaching, performance management, and career development across all levels of the team.
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Own delivery and outcomes for critical infrastructure and services-platform initiatives including reliability, scalability, cost, security posture, and compliance-aligned engineering practices.
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Drive reliability improvements using pragmatic SRE principles: service-level thinking (SLIs/SLOs), operational readiness, automation, and resiliency patterns.
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Strengthen incident response: improve on-call health, incident processes, postmortems, and follow-up execution in collaboration with product engineering and platform teams.
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Build and evolve cloud foundations on AWS, including network and compute patterns and Kubernetes-based services.
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Partner cross-functionally with Platform Engineering, Security, and Product Engineering to align priorities and deliver shared roadmaps.
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Operate in a regulated environment (GxP/biotech): help ensure infrastructure changes are traceable, auditable, and appropriately controlled, without slowing teams down unnecessarily.
QUALIFICATIONS.
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5+ years of people leadership experience including managing a team across a range
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Strong technical depth with previous direct, hands-on experience in software engineering and infrastructure/platform engineering.
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Production experience operating on AWS (e.g., EKS/ECS, RDS, VPC, EC2, S3) and building scalable internal platforms.
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Strong experience with Kubernetes and services-platform patterns (e.g., service mesh such as Istio, ingress, service discovery, workload isolation).
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Experience building or evolving observability and operational tooling (Datadog, FireHydrant, Sentry, or similar).
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Ability to collaborate across teams and influence without authority; strong written and verbal communication.
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Comfort working in a stack largely in Python (Go also highly appreciated), with TypeScript in the broader ecosystem (especially for platform tooling and integrations).
NICE TO HAVE QUALIFICATIONS:
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Direct ownership of incident management programs (on-call design, incident command, postmortems, and reliability governance).
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Experience managing or partnering closely with SRE teams.
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Experience in regulated environments (GxP, biotech, healthcare, finance), including change control, auditability, and SDLC/process rigor.
HOW WE WORK:
We offer a flexible hybrid work arrangement that prioritizes in-office collaboration. Employees are expected to be on-site 3 days per week (Monday, Tuesday, and Thursday).
#BI-Hybrid
Benchling welcomes everyone.
We believe diversity enriches our team so we hire people with a wide range of identities, backgrounds, and experiences.
We are an equal opportunity employer. That means we don’t discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We also consider for employment qualified applicants with arrest and conviction records, consistent with applicable federal, state and local law, including but not limited to the San Francisco Fair Chance Ordinance.
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关于Benchling

Benchling
Series F+Benchling provides a cloud-based platform for life sciences research and development, offering tools for data management, laboratory workflows, and bioinformatics. The company serves biotechnology and pharmaceutical organizations to accelerate their R&D processes.
501-1,000
员工数
San Francisco
总部位置
$6.1B
企业估值
评价
10条评价
3.9
10条评价
工作生活平衡
3.2
薪酬
2.8
企业文化
3.6
职业发展
3.0
管理层
3.4
65%
推荐率
优点
Supportive team and management
Good work-life balance and flexibility
Cutting-edge technology and interesting projects
缺点
Compensation could be better
High workload and long hours
Limited career advancement opportunities
薪资范围
51个数据点
Senior/L5
Staff/L6
Senior/L5 · Security Leader, Application Security
1份报告
$286,000
年薪总额
基本工资
$220,000
股票
-
奖金
-
$286,000
$286,000
最新动态
Benchling Launches AI Connectors to Deepen Integration Between R&D Data and Enterprise AI Tools - TipRanks
TipRanks
News
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3w ago
Benchling Launches AI Connectors to Power the Data Ecosystem for R&D - PR Newswire
PR Newswire
News
·
3w ago
[1 YoE, Application Scientist, Field Application Scientist, France]
Hello everyone, I need some feedback for my resume, I'm a PhD in mol/cell biology (3years) with a first exeprience as application scientist (fixed term contract, unfortunately, due to budget restriction and logistic issues they couldn't keep me) I want to find a similar job or a field application scientist (so visiting customers, training them, troubleshooting their protocols etc..), but so far no luck. I have been networking a ton, with lots of FAS telling me they got their first FAS job right
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5w ago
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6
Does Benchling actually generate real value, or is it just overhead?
I’ve been using Benchling in an industry R&D setting, and I’m trying to figure out whether it’s genuinely high ROI or just something teams feel obligated to use. In theory, it should act as a central system for experiment tracking, data organization, and collaboration. But in practice, I’ve seen a few issues: * A lot of manual data entry with unclear downstream use * Data stored but rarely reused or queried * Limited integration with analysis pipelines (R/Python) * Scientists treating it a
·
6w ago
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2