1,831,290open jobs
105,464companies
270,100added this week
Browse all
Location
Hybrid (Lisbon, Portugal)
Seniority
Junior · 2+ years exp

Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Aug 19, 2026. PagerDuty scores A on the Alion truth index.

Overview
Company
Impact
Profile match
PagerDuty is a SaaS company focused on helping organisations keep critical digital services running reliably. Its platform supports teams that operate and maintain always on systems by bringing together monitoring signals, incident response workflows, and real time coordination. In practice, this means helping companies detect issues quickly, alert the right people, manage incidents in a structured way, and learn from what happened so the same problems are less likely to recur.

PagerDuty, Inc. (NYSE: PD) is the global leader in AI-first digital operations. By automatically detecting, diagnosing, and remediating issues, the PagerDuty Platform orchestrates AI agents and automated workflows with context from over 750 integrations. Trusted by approximately two-thirds of the Fortune 100 and nearly half of the Fortune 500, PagerDuty is the industry standard for organizations scaling resilient, autonomous operations. Notable customers include Chipotle, Cloudflare, Docusign, Fox, Nvidia, Salesforce, Spotify, Zoom and more. We are growing rapidly and hiring top talent with leading AI skills across engineering, sales, product, marketing, and beyond as we build the leading digital operations platform.

About the role

PagerDuty’s Operations Cloud runs on a platform that ingests billions of signals and turns them into real-time action for thousands of customers. We’re looking for an early-career AI/ML Engineer who is excited to grow at the intersection of two disciplines: large-scale distributed systems and machine learning.

In this role you will help build and ship AI systems that run in production at PagerDuty’s scale - powering Incident Management AI Agents, event intelligence, and the LLM-powered capabilities embedded across our platform. You’ll work alongside senior engineers on real production problems, learning how AI features go from a prototype to something that serves reliably at scale.

We are looking for a candidate who is genuinely excited about building with modern AI - LLMs, agents, and retrieval - eager to learn how resilient, high-throughput systems are built, and motivated to grow into an engineer who is strong in both.

What you’ll do

  • Contribute to AI-powered features - LLM agents, retrieval, and event intelligence - that operate on high-volume, real-time data, with support and guidance from senior engineers.
  • Help build and maintain the systems behind them - prompt and agent orchestration, retrieval pipelines, tool/API integrations, and inference services - writing code, adding tests, and improving observability.
  • Learn to reason about latency, throughput, cost, and reliability of LLM-powered services, and apply those lessons in the code you write.
  • Help take AI features from prototype toward production, and support the evaluation and monitoring loops that keep them accurate and trustworthy over time.
  • Partner with platform, product, and applied-research teams, asking good questions and turning requirements into working code.
  • Grow through code review, pairing, and mentorship, and steadily take on more ownership as you develop.

What you’ll bring

  • 2+ years of software engineering experience building and shipping production software.
  • Degree in CS/a related field, or equivalent practical experience.
  • Solid programming fundamentals and comfort moving between application code and AI/model code.
  • Hands-on experience with modern AI - building something real with LLMs, prompting, retrieval, or agent frameworks.
  • Some exposure to distributed systems and how software runs reliably at scale, and eagerness to deepen it.
  • Strong communication and collaboration skills.

Nice to have

  • Personal, academic, or internship projects involving LLM apps, agents, RAG, or backend services.
  • Exposure to cloud infrastructure (AWS, GCP, or Azure), containers, or Kubernetes.
  • Familiarity with the ecosystem - e.g. LLM APIs and frameworks such as LangChain or LlamaIndex, vector databases, and orchestration/streaming tools like Kafka or Airflow.
  • Interest in agentic systems, evaluation and guardrails for LLMs, or applied problems like anomaly detection and event correlation.
  • Contributions to open-source projects.

Why PagerDuty

At PagerDuty, AI it’s core to how we help the world’s teams keep their digital services running. This is a place to start your career on problems where scale, latency, and correctness genuinely matter, surrounded by engineers who will invest in helping you grow and who build systems that people depend on in their most critical moments.

Hesitant to apply?

We encourage you to submit your resume even if you don't meet every requirement. We value potential and consider each candidate's full professional story. Whether you're exploring a career change or taking your next step, we look forward to reviewing your application. If this just isn’t the right role or time - sign up for job alerts!

Where we work

PagerDuty operates a hybrid work model with offices in 8 major cities: Atlanta, Lisbon, London, San Francisco, Santiago, Sydney, Tokyo, and Toronto. While we offer flexibility within our established locations, we cannot employ candidates residing in:

Location restrictions:

Australia: Northern Territory, Queensland, South Australia, Tasmania, Western Australia

Canada: Alberta, Manitoba, Newfoundland, Northwest Territories, Nunavut, PEI, Quebec, Saskatchewan, Yukon

United States: Alaska, Hawaii, Iowa, Louisiana, Mississippi, Nebraska, New Mexico, Oklahoma, Rhode Island, South Dakota, West Virginia, Wyoming

Candidates must reside in an eligible location, which vary by role.

How we work

Our values guide how we support customers, collaborate with colleagues, develop products, and foster a culture of belonging. They define not just our actions, but what it means to be Dutonian.

People Leaders at PagerDuty are responsible for creating high performance environments that drive accountability. PagerDuty has four key dimensions that define our Leadership Impact: Lead Self, Lead the Team, Lead the Business, and Lead the Future. Each dimension has three associated competencies to give leaders a shared language for guiding their development, career, promotion, and succession planning discussions. Our Manager Expectations serve as a practical guide for managers to understand their responsibilities, prioritize their efforts, and drive engagement and performance.

What we offer

As a global organization, our total rewards approach is competitive with industry standards and aligned with local laws and regulations. Learn more, including country-specific offerings, on our benefits site.

Your package may include:

  • Competitive salary
  • Comprehensive benefits package 
  • Flexible work arrangements
  • Company equity*
  • ESPP (Employee Stock Purchase Program)*
  • Retirement or pension plan*
  • Generous paid vacation time
  • Paid holidays and sick leave
  • Dutonian Wellness Days & HibernationDuty - companywide paid days off in addition to PTO
  • Paid parental leave: 22 weeks for pregnant parent, 12 weeks for non-pregnant parent (some countries have longer leave standards and we comply with local laws)*
  • Paid volunteer time off: 20 hours per year
  • Company-wide hack weeks
  • Mental wellness programs

*Eligibility may vary by role, region, and tenure

About PagerDuty

PagerDuty, Inc. (NYSE:PD) is a global leader in digital operations management. The PagerDuty Operations Cloud is an AI-powered platform that empowers business resilience and drives operational efficiency for enterprises. With a generative AI assistant at its core, PagerDuty empowers teams to detect and resolve issues in real time, orchestrate complex workflows, and drive continuous improvement across their digital operations. Trusted by nearly half of both the Fortune 500 and the Forbes AI 50, as well as approximately two-thirds of the Fortune 100, PagerDuty is essential for delivering always-on digital experiences to modern businesses

PagerDuty is Great Place to Work-certified™, a Fortune Best Workplace for Millennials, a Fortune Best Medium Workplace, a Fortune Best Workplace in Technology, and a top rated product on TrustRadius and G2. 

Go behind-the-scenes on our careers site and @pagerduty on Instagram.

Additional Information

PagerDuty is an equal opportunity employer. PagerDuty does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status. Your privacy is important to us. By submitting an application, you confirm that you have read and understand PagerDuty's Privacy Policy.

PagerDuty is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. Should you require accommodation, please email [email protected] and we will work with you to meet your accessibility needs.

PagerDuty uses the E-Verify employment verification program.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,831,290 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

AI/ML
Similar stack
Same company
Lisbon
≈ $135k – $295k per year (Estimated) • Remote (United States) • Dayton
Python
AI/ML
Pandas
PyTorch
Apply
$40k – $52k per year • In office • Full-Time • Toulouse
DevOps
CI/CD
Apply
$45k – $51k per year • Hybrid • Full-Time • Rennes
AI/ML
Model Context Protocol
LLM
DevOps
CI/CD
GitLab
Apply
$607k – $759k per year • In office • Full-Time • Tokyo
Python
Java
Rust
TypeScript
C#
Databases
Apache Kafka
AI/ML
LangGraph
LangChain
Model Context Protocol
LLM
RAG
LLMOps
DevOps
Git
AWS
Docker
Kubernetes
GitHub
Web3
NFT
Apply
$170k – $282k per year • In office • 5+ years exp • Bachelor's Degree • San Jose • Mountain View
Python
C++
C++
TensorFlow C++
PyTorch C++
AI/ML
CUDA Toolkit
Reinforcement Learning
Quantization
JAX
TensorRT
TensorFlow
PyTorch
CUDA
Machine Learning
Robotics
Motion Planning
Imitation Learning
Reinforcement Learning
Apply
≈ $34k – $89k per year (Estimated) • In office • Confidential • Full-Time • 3+ years exp • Bengaluru
Python
Go
JavaScript
Java
TypeScript
SQL
Node JS
Java
Spring Boot
Databases
MySQL
Cassandra
AI/ML
LangChain
LlamaIndex
Vertex AI
Fine-tuning
Prompt Engineering
AI Agents
LLM
RAG
Edge AI
Agentic Workflows
Frontend
Next.js
React.js
DevOps
GCP
CI/CD
Jenkins
Kubernetes
Google GKE
Google Cloud Run
Apply
≈ $78k – $142k per year (Estimated) • Remote (Canada) • Full-Time • Bachelor's Degree • Toronto
TypeScript
SQL
C#
C++
C#
ASP.NET Core
Databases
MS SQL
AI/ML
Claude
Claude Code
Model Context Protocol
Function Calling
AI Agents
LLM
Agentic Workflows
Tool Use
DevOps
Azure DevOps
Azure
CI/CD
AWS
Docker
Kubernetes
Apply
≈ $81k – $239k per year (Estimated) • In office • Confidential • Full-Time • 5+ years exp • Bachelor's Degree • Tel Aviv
Python
Go
Databases
MySQL
Neo4j
Cassandra
ElasticSearch
Google BigQuery
Amazon Redshift
BigQuery
AI/ML
LLM
DevOps
GCP
Prometheus
Docker
Kubernetes
Cortex
Apply
Tech Lead 6 hours ago
$100k – $120k per year • In office • Austin
Python
Databases
Milvus
Pinecone
AI/ML
LangChain
LlamaIndex
Embeddings
Function Calling
AI Agents
RAG
Tool Use
DevOps
Docker
Kubernetes
Management
UiPath
Apply
$143k – $193k per year • Equity • In office • Full-Time • 4+ years exp • Master's Degree • Seattle
Python
Java
C++
AI/ML
AI Agents
Hallucination
Machine Learning
Apply
Senior AI/ML Engineer 2 months ago
≈ $64k – $121k per year (Estimated) • Equity • Hybrid • 5+ years exp • PhD • Lisbon
Databases
Apache Kafka
AI/ML
LangChain
LlamaIndex
Function Calling
AI Agents
LLM
RAG
Anomaly Detection
LLMOps
LLM Evaluation
LLM Guardrails
Tool Use
DevOps
GCP
PagerDuty
Azure
AWS
Kubernetes
Cloudflare
AIOps
Incident Management
Apply
≈ $127k – $231k per year (Estimated) • Equity • Hybrid • 8+ years exp • PhD • London
AI/ML
Model Context Protocol
AI Agents
LLM
LLM Guardrails
Tool Use
DevOps
Terraform
PagerDuty
Pulumi
CI/CD
GitOps
ArgoCD
Kubernetes
Cloudflare
Progressive Delivery
Incident Management
Apply
≈ $158k – $310k per year (Estimated) • Equity • Hybrid • 8+ years exp • PhD • New York
AI/ML
Model Context Protocol
AI Agents
LLM
LLM Guardrails
Tool Use
DevOps
Terraform
PagerDuty
Pulumi
CI/CD
GitOps
ArgoCD
Kubernetes
Cloudflare
Progressive Delivery
Incident Management
Apply
≈ $173k – $341k per year (Estimated) • Equity • Hybrid • 8+ years exp • PhD • San Francisco
AI/ML
Model Context Protocol
AI Agents
LLM
LLM Guardrails
Tool Use
DevOps
Terraform
PagerDuty
Pulumi
CI/CD
GitOps
ArgoCD
Kubernetes
Cloudflare
Progressive Delivery
Incident Management
Apply
≈ $90k – $180k per year (Estimated) • Equity • Hybrid • 10+ years exp • PhD • Toronto
Go
AI/ML
AI Agents
DevOps
CircleCI
PagerDuty
CI/CD
GitOps
ArgoCD
Git
Kubernetes
Cloudflare
Platform Engineering
Buildkite
Progressive Delivery
Apply
English Tutor 1 day ago
≈ $17k – $39k per year (Estimated) • Remote (Portugal) • Part-Time • 2+ years exp • Lisbon
Management
WhatsApp
Apply
≈ $30k – $83k per year (Estimated) • Hybrid • 2+ years exp • Lisbon
Apply
Delivery Driver 1 day ago
$36k – $38k per year • In office • High School Diploma • Lisbon
Apply
≈ $27k – $73k per year (Estimated) • In office • Full-Time • Lisbon
Apply
≈ $31k – $78k per year (Estimated) • Remote (Portugal) • 3+ years exp • Bachelor's Degree • Lisbon
Python
DevOps
Rest API
GitHub Actions
SOAP
QA
Postman
Apply
See all jobs
This is one of many
1,831,290 more open roles from verified company boards, updated every day.