• Companies
  • News
By technology
  • Python17.9k
  • AWS12.6k
  • Kubernetes9.1k
  • Docker8.7k
  • C++5.9k
  • PostgreSQL5.7k
  • SQL5.3k
By category
  • Backend Developer11.3k
  • DevOps Engineer3.4k
  • Machine Learning Engineer3.3k
  • Full Stack Developer3.2k
  • Data Engineer2.8k
  • Embedded Engineer2.2k
  • Frontend Developer855
By city
  • San Francisco, CA6.2k
  • New York, NY5.6k
  • Seattle, WA1.3k
  • Washington, DC1.2k
  • Toronto, ON1.2k
  • Boston, MA1k
  • Austin, TX1k
Work mode
  • On-site21.9k
  • Remote10.2k
  • Hybrid7.3k
Job type
  • Full-time38.1k
  • Contract600
  • Part-time526
  • Freelance214
  • internship4
  • seasonal1
Experience
  • Entry level
  • Mid level
  • Senior
  • Staff+
  • Engineering management

The job board for developers. Find your next role at companies that value great engineering.

© 2023-2026 . All rights reserved.

Logos provided by Logo.dev
Add
5,582 matches
NewestHighest base
Tavily

DevOps Engineer

1 day ago
Tavily · New York, NY
On-siteFull-timeKubernetes · Terraform
Tavily

Front-End Engineer

1 day ago
Tavily · New York, NY
$100k–200kHybridFull-timeTypeScript · React
Tavily

Forward Deployed Engineer

1 day ago
Tavily · New York, NY
On-siteFull-timeLLMs
Scan.com

Senior Engineering Manager

1 day ago
Scan.com · New York, NY
$180k–240kHybridFull-timeAI agents
Scan.com

Senior Software Engineer, Integrations

1 day ago
Scan.com · New York, NY
$180k–220kHybridFull-timeHL7 v2 · FHIR
Scan.com

Senior Software Engineer, Fulfillment

1 day ago
Scan.com · New York, NY
$180k–220kHybridFull-timeRuby on Rails · PostgreSQL
Scan.com

Software Engineer, Integrations

1 day ago
Scan.com · New York, NY
$180k–200kHybridFull-timeHL7 v2 · REST APIs
Protege

Technical Project Lead, Data Privacy

1 day ago
Protege · New York, NY
On-siteFull-timeOCR · NER
Imprint

Staff Product Designer

1 day ago
Imprint · New York, NY
$190k–250kHybridFull-timeFigma · Storybook
Imprint

Senior Engineering Manager, Risk Engineering

1 day ago
Imprint · New York, NY
$220k–235kHybridFull-timeGo · Kafka
Imprint

Data Scientist, Risk

1 day ago
Imprint · New York, NY
$170k–200kHybridFull-timePython · SQL
Imprint

Senior Engineering Manager

1 day ago
Imprint · New York, NY
$220k–235kHybridFull-timeGo · Kafka
Kombo

Senior Pre-Sales Engineer (NYC)

1 day ago
Kombo · New York, NY
$180k–220kOn-siteFull-timePostman · REST APIs
Kombo

Developer Support Engineer (NYC)

1 day ago
Kombo · New York, NY
$115k–160kOn-siteFull-timeTypeScript · Node.js
Doctronic

Engineering Manager, Product

1 day ago
Doctronic · San Francisco, CA
$200k–300kHybridFull-timeNext.js · React
Doctronic

Senior Product Manager, Consumer

1 day ago
Doctronic · New York, NY
$160k–200kHybridFull-timeStatsig
Doctronic

Engineering Manager, Platform

1 day ago
Doctronic · New York, NY
$200k–300kHybridFull-timeAWS · Terraform
Doctronic

Senior Platform Engineer

1 day ago
Doctronic · San Francisco, CA
$180k–240kOn-siteFull-timeAWS · Terraform
Doctronic

Senior Product Engineer (Full Stack)

1 day ago
Doctronic · San Francisco, CA
$180k–240kHybridFull-timeNext.js · React
Doctronic

Senior Data Engineer

1 day ago
Doctronic · New York, NY
$200k–275kHybridFull-timeSQL · Python
  • Previous
  • 1
  • More pages
  • 76
77
  • 78
  • More pages
  • 280
  • Next
  • Tavily

    DevOps Engineer

    Tavily · 🇺🇸 New York, NY · posted 1 day ago
    ApplyFull posting

    Extracted from the posting

    Base
    Not stated
    Remote
    NYC-based
    Eng team
    Small engineering team, no headcount stated
    Stack
    Kubernetes, Terraform

    TL;DR

    DevOps Engineer role owning Tavily's infrastructure, including Kubernetes clusters across multiple environments and regions, infrastructure as code, and CI/CD with GitOps deployments. The role also covers real-time data pipelines processing billions of events per day, plus monitoring, alerting, and observability. The engineer works with a small engineering team.

    About Tavily →

    The full posting

    About Tavily

    We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent — but also informed.

    We work with some of the most innovative teams in AI — from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it's powering sales assistants, research copilots, or internal knowledge tools, we're the missing link between LLMs and the real world.

    The Role: DevOps Engineer

    • Managing Kubernetes clusters across multiple environments and regions
    • Owning infrastructure as code for all resources
    • Maintaining and improving CI/CD pipelines and GitOps-based deployments
    • Maintaining and optimize real-time data pipelines that process billions of events per day across distributed queues and stream processors
    • Building out monitoring, alerting, and observability
    • Debugging production issues across services
    • Managing cloud costs and capacity planning
    • Working closely with a small engineering team — you'd own infra, not a slice of it

    What we're looking for

    • ~3+ years in a DevOps or platform engineering role, working in production environments
    • Proven experience designing and operating large-scale, distributed systems, with a solid understanding of API design, reliability, and performance at scale
    • Strong Kubernetes experience in a managed cloud environment
    • Proficiency with infrastructure as code (Terraform or similar)
    • Experience with GitOps-based deployment workflows
    • Built or maintained observability stacks (logging, metrics, alerting)
    • Experience handling production incidents calmly and methodically

    Nice to have:

    • Multi-region deployments
    • Search infrastructure
    • Data pipeline experience (streaming, warehousing)
    • Proxy/networking infrastructure at scale

    Why Tavily?

    • Full ownership — small team, you own the entire infrastructure, not a slice of it
  • Real scaling challenges — bursty scraping workloads, cache invalidation, multi-region, millions of daily requests
  • AI-native company — your infra directly powers AI agents used by leading companies in the space
  • NYC-based — working closely with engineering, short feedback loops