招聘
必备技能
Python
JavaScript
TypeScript
React
Kubernetes
Go
Terraform
Next.js
About the Role
Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as Flash Attention, Hyena, Flex Gen, and Red Pajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.
As a Senior Developer Productivity Engineer at Together AI, you’ll own the systems and tooling that empower engineers to ship high-quality software faster. You’ll optimize workflows, enhance testing, enable reliable and reusable CI/CD, and work with developers to build out stable local environments. Your work will directly impact release velocity, developer happiness, and cross-cutting enablement ensuring engineers spend less time churning on infrastructure and more time building.
Responsibilities
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Automate CI/CD pipelines for zero-downtime deployments (e.g., Canary, Blue/Green).
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Create smart pipelines encouraging reusable workflows and simplicity
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Streamline build/test/deploy workflows.
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Build shared tooling (CLIs, codegen, IDE plugins) to accelerate teams.
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Reduce friction (e.g., faster builds, hot-reload, test tooling).
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Collaborate with developers to identify pain points and streamline workflows.
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Champion best practices through documentation.
Requirements
-
Bachelor’s degree in Computer Science, Engineering, or related field or 5+ years of industry experience in DevOps/SRE, developer tooling, or infrastructure engineering.
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Proficiency in Python, Go, and JavaScript/TypeScript (for tooling, automation, and FE enablement).
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Strong experience with CI/CD tools (GitHub Actions, ArgoCD, Gitops methodology) for building scalable, reusable pipelines.
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Experience with local dev environment tooling (e.g., Skaffold) and containerized development workflows
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Experience with creating starter templates in coordination with engineering for enabling rapid spin up of new services
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Strong ownership and a builder mindset, you love creating tools others rely on.
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Problem-solving rigor and attention to detail (e.g., diagnosing flaky tests, build latency).
Nice to have
-
Kubernetes expertise (EKS, K3s) and optimizing containerized builds.
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Infrastructure as Code (Terraform, Ansible, Pulumi).
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Front-end tooling familiarity (e.g., React, Next.js, Jest) to optimize FE dev workflows.
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Monitoring/observability (Prometheus, Grafana, Honeycomb) to debug bottlenecks.
Compensation
We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $150,000 - $230,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.
Equal Opportunity
Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
Please see our privacy policy at https://www.together.ai/privacy
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关于Together AI

Together AI
Series BData annotation company.
51-200
员工数
San Francisco
总部位置
$1.25B
企业估值
评价
3.8
10条评价
工作生活平衡
3.5
薪酬
2.8
企业文化
4.2
职业发展
3.0
管理层
3.2
65%
推荐给朋友
优点
Great team culture and collaboration
Flexible work arrangements and remote options
Good work-life balance
缺点
Below industry standard compensation
High workload and overwhelming demands
Limited career advancement opportunities
薪资范围
0个数据点
Mid/L4
Senior
Mid/L4 · Product Designer
0份报告
$156,800
年薪总额
基本工资
$156,800
股票
-
奖金
-
$133,280
$180,320
面试经验
3次面试
难度
3.0
/ 5
时长
14-28周
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Coding Rounds
5
System Design Interview
6
Final Interview
常见问题
Coding/Algorithm
System Design
Technical Knowledge
Behavioral/STAR
Infrastructure/SRE
新闻动态
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