Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

The Proactive Threat team is responsible for identifying vulnerabilities and security weaknesses across Stripe's systems, applications, networks, and cloud infrastructure — before adversaries do. We operate as a hybrid offensive function: conducting penetration testing, emulating real-world threat actors through red team operations, and partnering closely with our defensive security teams to validate detection capabilities and improve Stripe's overall security posture.

We are builders first. Our team develops custom tooling, automation frameworks, and internal platforms that scale our offensive capabilities and enable repeatable, high-fidelity assessments. We believe the best offensive security engineers are equal parts hacker and engineer.

The team is distributed across the United States, primarily operating in Eastern and Pacific time zones, and collaborates regularly with security, engineering, and product stakeholders across Stripe — including teams in Europe and Asia.

What you'll do

As an Offensive Security Engineer on the Proactive Threat team, you will simulate the tactics, techniques, and procedures (TTPs) of real-world adversaries to uncover security risks across Stripe's products and infrastructure. You'll conduct hands-on penetration testing, lead red team engagements, and collaborate with blue team counterparts to validate and improve detection and response capabilities. Your work will directly influence how Stripe builds, ships, and secures financial infrastructure used by millions of businesses worldwide.

Beyond assessments, you'll design and build offensive tooling and automation that amplifies the team's impact. You'll leverage threat intelligence to prioritize testing efforts, contribute to incident investigations when needed, and act as a subject-matter expert for security initiatives across the company.

Responsibilities

• Conduct comprehensive penetration tests across web applications, APIs, cloud environments (AWS/GCP/Azure), mobile applications, and internal infrastructure
• Plan and execute red team engagements that emulate the TTPs of cyber and criminal threat actors targeting financial services, including initial access, lateral movement, persistence, and data exfiltration scenarios
• Perform assumed-breach and objective-based assessments to test detection and response capabilities in coordination with defensive teams
• Partner with detection engineering, threat intelligence, and incident response teams to validate security controls, identify coverage gaps, and improve detection fidelity
• Contribute adversary tradecraft insights to inform detection rule development, threat hunting hypotheses, and incident response playbooks
• Support incident investigations by providing offensive expertise, log analysis, and root cause analysis when required
• Design, develop, and maintain custom offensive tools, scripts, and automation frameworks to enhance assessment efficiency and coverage
• Build internal platforms and workflows that enable scalable, repeatable offensive operations
• Contribute to internal security tooling repositories and champion engineering best practices within the team
• Automate repetitive testing tasks, payload generation, and reporting workflows using modern development practices
• Produce clear, actionable reports that communicate technical findings, business risk, and remediation guidance to both technical and non-technical stakeholders
• Act as a subject-matter expert and primary point of contact for stakeholder teams engaged in offensive security programs and Stripe-wide security initiatives
• Lead offensive security projects end-to-end, mentor junior team members, and foster a culture of continuous learning and knowledge sharing
• Stay current with emerging threats, vulnerabilities, and attack techniques; share research internally and contribute to the broader security community

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 5+ years of experience in offensive security, penetration testing, red teaming, or a related field
• Strong programming skills in Python, Go, or similar languages, with demonstrated experience building tools, automation, or custom exploits
• Deep knowledge of web application security, including OWASP Top 10, ASVS, and common vulnerability classes (injection, auth flaws, business logic, etc.)
• Hands-on experience with cloud platforms (AWS, Azure, or GCP), including cloud-native attack techniques and misconfigurations
• Proficiency with offensive tooling such as Burp Suite, Cobalt Strike, Mythic, Sliver, BloodHound, or similar frameworks
• Familiarity with adversary tradecraft and frameworks such as MITRE ATT&CK, including TTPs for initial access, privilege escalation, lateral movement, and exfiltration
• Excellent written and verbal communication skills, with the ability to translate complex technical findings into clear, risk-based recommendations
• Ability to think like an adversary — creative, persistent, and able to holistically assess risk in complex environments

Preferred qualifications

• Experience conducting offensive security in fintech, financial services, or other highly regulated environments
• Background in vulnerability research, exploit development, or CVE discovery
• Experience collaborating with threat intelligence, detection engineering, or incident response teams (purple team operations)
• Familiarity with big data and log analysis tools (Splunk, Databricks, PySpark, osquery, etc.) for threat hunting or investigative support
• Proficiency with AI/LLM-assisted development tools (e.g., Claude Code, Cursor, GitHub Copilot) and experience applying them to offensive security workflows
• Interest or experience in agentic automation — using LLMs or autonomous agents to augment reconnaissance, vulnerability discovery, or exploitation workflows
• Experience testing AI/ML systems or LLM-based applications for security weaknesses (prompt injection, training data extraction, model manipulation, etc.)
• Contributions to open-source security tools, published research, blog posts, or conference presentations
• Relevant certifications such as OSCP, OSWE, OSEP, OSED, CRTO, CPTS, PNPT, GXPN, or cloud security certifications

Software Engineer III, BE/FS

About Us:

Rent the Runway (RTR)  is transforming the way we get dressed by pioneering the world’s first Closet in the Cloud. Founded in 2009, RTR has disrupted the $2.4 trillion fashion industry by inspiring women with a more joyful, sustainable and financially-savvy way to feel their best every day. As the ultimate destination for circular fashion, the brand now offers infinite points of access to its shared closet via a fully customizable subscription to fashion, one-time rental or ownership. RTR offers designer apparel and accessories from hundreds of brand partners and has built in-house proprietary technology and a one-of-a-kind reverse logistics operation. Under CEO and Co-Founder Jennifer Hyman’s leadership, RTR has been named to CNBC’s “Disruptor 50” five times in ten years, and has been placed on Fast Company’s Most Innovative Companies list multiple times, while Hyman herself has been named to the “TIME 100” most influential people in the world and as one of People magazine’s “Women Changing the World.”

Galway Office 

Rent The Runway established its European Technology Hub in Galway in April 2019.  Based in the historic Claddagh area of the city, the growing team in Galway tackles core technology challenges and influences the next generation of services critical to Rent The Runway’s success and continued growth. 

The Galway office is Rent the Runway's first international office outside the US and enables the company to significantly expand its Software Engineering, Product Development, Machine Learning Engineering and Data Science footprint. Rent The Runway’s Galway-based employees have the opportunity to grow their careers across several roles and career paths in Technology.

Our engineering team is smart, pragmatic, and entrepreneurial. We practice continuous integration & test-driven development, engage in constant peer code reviews & pair programming, and work hard to give back to the software community through open-source contributions.

About the Role:

We are looking for a Back End/Full Stack Engineer who values creativity and user experience as much as great code and curiosity. As an engineer on the Consumer Retention team, you will work with an enthusiastic team of engineers focused on the stages of the customer journey across multiple devices and surfaces, increasing customer loyalty and reducing subscription churn. We manage loyalty platform, membership, personalisation, add-ons, and customer promise to build world-class experiences for an eager and passionate customer base, from their first visit to their first order! Our team works in an agile environment, building high-quality, performant software while solving high-impact and complex problems

What You’ll Do:

• Participate in all aspects of agile software development, including design, implementation, and deployment.
• Develop clean, testable, scalable systems using Java, Kotlin, Dropwizard, SpringBoot, Redis, MongoDB, RabbitMQ, Spring Boot, Splunk, MySQL and other open source technologies.
• You’ll build intuitive and well-tested APIs for manipulating & retrieving data.
• You will optimise for performance and scalability.
• Drive technical projects to success in a fast-paced startup environment.
• You’ll deprecate and remove functionality & services that no longer suit our needs.
• Find architectural improvements to enable rapid growth in traffic and order volumes while continuously improving developer productivity.
• Work with business stakeholders to identify software solutions to business challenges.
• Assist in prioritisation efforts, planning future roadmaps, and provide mentorship to others.

About You:

BA/BS in Computer Science, a related degree, or 4+ years of practical experience.

• You have hands-on, production-level experience across significant parts of our technology stack: 
• Backend: Java, Kotlin, SpringBoot, RabbitMQ, MySQL, MongoDB.
• Frontend: ReactJS, Next.js.
• You have experience and enthusiasm for testing, test-driven development, and building reliable systems.
• You have a strong command of best practices, design patterns, and system architecture tradeoffs.
• You can hit the ground running and quickly familiarize yourself with an existing codebase and toolset.
• You have experience with distributed system performance analysis and optimisation.
• You can understand, diagnose, and articulate technical challenges and solutions effectively.
• You have a high level of comfort navigating ambiguity and making the tradeoffs without compromising quality.
• You're a collaborative partner who thrives in a cross-functional environment, working closely with product, design, and engineers across various tech stacks to build cohesive, high-impact solutions.

AI/LLM Proficiency

• You are proficient in deploying a diverse stack of LLMs (Gemini CLI, Claude) and AI-native IDEs (Cursor, Windsurf, Copilot) to automate and elevate professional workstreams.
• You have expertise in prompt engineering, focusing on high-density context provision to minimise hallucinations and maximise model accuracy.
• You are skilled in defining AI behaviour through structured system prompts and custom agent configurations for predictable, high-quality output.
• You have a deep understanding of the AI ecosystem, including Model Context Protocol (MCP), API connectors, and the design of autonomous agentic loops.
• You can proactively identify high-impact areas for AI integration to drive measurable gains in operational efficiency and output volume.

Benefits:

At Rent the Runway, we’re committed to the happiness and well-being of our employees, and aim to create a workplace that fosters both personal and professional growth. Our inclusive benefits include, but are not limited to:

• Generous Paid Time Off, including annual leave, paid bereavement, and family sick leave - every employee needs time to take care of themselves and their family.
• Universal Paid Parental Leave for both parents + flexible return to work program  - because we know your newest family member(s) deserve your undivided attention.
• Paid Sabbatical after 5 years of continuous service - unplug, recharge, and have some fun.
• Competitive Stakeholder Pension - taking care of your future. 
• Comprehensive health, dental care and dependents care from day 1 of employment - Your health comes first, and we’ve got you covered. 
• Company-wide events and outings - our team spirit is no joke - we know how to have fun!
• Hybrid Work -This hybrid role requires 2-3 days per week in our Galway, Ireland office, with the option to work 2 days remotely.

Rent the Runway is an equal opportunity employer. In accordance with applicable law, we prohibit discrimination against any applicant or employee on any legally recognised basis, including, but not limited to: gender, marital status, family status, age, disability, sexual orientation, race, religion, and membership of the Traveller community.

#LI-EM1

See yourself at Twilio

Join the team as Staff Engineer, Offensive Security

About the job

The Staff Engineer acts as a Technical Lead. You don't just find bugs; you design complex attack chains that demonstrate systemic risk. You spend as much time writing custom code and researching new bypasses as you do executing tests.

Responsibilities

In this role, you will:

• Full-Stack Penetration Testing: Perform manual and automated testing of web applications, APIs, and mobile apps (iOS/Android).
• Internal/External Network Audits: Conduct network and cloud level assessments with various tooling
• Vulnerability Validation: Triage and validate reports from automated scanners or bug bounty hunters to eliminate false positives and escalate true positives
• AI/LLM Probing: Perform initial prompt injection and jailbreak tests on AI prototypes, services, and applications using established checklists (OWASP Top 10 for LLMs).
• Technical Reporting: Draft high-quality reports that detail the "path to compromise" with clear, reproducible steps for developers.
• Tool Maintenance: Manage and update the team's testing infrastructure (e.g., Burp Suite, and basic C2 listeners).
• Remediation Support: Provide direct technical guidance to engineering teams on how to patch vulnerabilities like XSS, SQLi, and IDOR.
• Adversary Emulation: Design and lead multi-week Red Team operations that mimic specific threat actors (APTs) to test the SIRT detection capabilities.
• Custom Exploit Development: Build custom payloads, droppers, and obfuscated scripts to bypass EDR/AV and maintain stealth.
• AI Red Teaming Architecture: Build automated testing frameworks for AI systems (e.g., using PyRIT, Promptfoo, or Garak) to test for models related to sensitive data leakage.
• Cloud & Infrastructure Attacks: Execute sophisticated attacks against AWS/Azure/K8s, focusing on IAM misconfigurations and container escapes.
• Purple Teaming: Collaborate with SIRT and Detection Engineering to tune SIEM alerts based on the techniques used during an engagement.
• Strategic Bug Bounty Management: Oversee the organization's bug bounty program, identifying trends in submissions to suggest broad architectural security changes.

Qualifications

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

Required:

• Experience: 7-10 years in offensive security, penetration testing, a high-volume bug bounty background, AppSec, or vulnerability exploitation, and track record of finding high/critical vulnerabilities in complex environments using pentesting commercial or custom tools.
• Concepts: Expert Knowledge and  solid understanding of the MITRE ATT&CK matrix and the OWASP Top 10 for web applications and top 10 for LLMs, post exploitation (lateral movement, persistence, data exfiltration) and Adversarial ML.
• Tooling: Proficient in OffSec popular tools like Burp Suite professional, Nmap, Metasploit, Wireshark etc... and AI security tools such as LangChain, TensorFlow for adversarial testing or, as well as use of C2 frameworks (Cobalt Strike, Sliver, Havoc) or similar tools
• Scripting and Coding: Ability to write functional scripts in Python or Bash to automate repetitive testing tasks and proficiency in coding and scripting like Python, C++, and scripting for creating custom offensive exploits that avoids signature-based detection.
• Certifications: Possession of advanced industry certifications such as OSCP, OSEP, OSWE, GXPN or similar training in OffSec tracks is highly desirable

Desired:

• Telecom expertise is preferred
• Excellent written and verbal communication skills.
• Ability to influence and build effective working relationships with all levels of the organization.
• Proficiency in multiple languages applicable to the region.

Location

This role will be Remote, and based in Ireland

Travel 

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 15% travel is anticipated to help you connect in-person in a meaningful way.

What We Offer

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

See yourself at Twilio

Join the team as Twilio’s next Staff Engineer, AI Security.

About the job

As a Staff Engineer, AI Security on the AppSec team, you’ll lead autonomous defense for the AI lifecycle. Build multi-agent frameworks and secure gateways while integrating real-time security gates and identity standards. By mentoring Security and R&D to define the MLSecOps roadmap, you’ll ensure a "secure-by-default" future for agentic workflows and resilient AI innovation.

Responsibilities

In this role, you’ll:

• Serve as the primary subject matter expert for all AI and machine learning security initiatives across security and R&D.
• Design and manage AI gateways to provide a centralized control plane for authentication and authorization and rate limiting across all model and tool interactions.
• Build and maintain an autonomous security agentic framework that utilizes multi agent orchestration for end to end investigation and alert triage and remediation.
• Develop agentic identity models using OAuth 2.1 to propagate identity across trust boundaries and prevent the confused deputy problem.
• Help govern the AI augmented software development lifecycle by integrating real time security gates into the developer environment and CI/CD pipeline.
• Manage Agentic Security Solutions that secure AI lifecycle and manage AI workloads at runtime. 
• Author company wide AI security standards and implement these security checks across Twilio’s stack
• Implement human in the loop checkpoints and transactional safety protocols for high impact or destructive agentic actions.
• Partner with engineering leadership to set the long term roadmap for identity centric security and automated posture management.
• Act as a knowledge multiplier by mentoring security engineers and developing secure by default paved road templates for R&D teams 

Qualifications 

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

Required:

• 8+ years of experience in security engineering with at least 3 years focused on AI or machine learning security operations (MLSecOps).
• Expertise in orchestrating multi-agent systems with AWS Strands, LangGraph, and CrewAI, specializing in runtime isolation, PII redaction, and defending against indirect prompt injection in agentic environments.
• Hands-on experience with AI-specific frameworks (e.g., MITRE ATLAS, MAESTRO, OWASP Top 10 for LLMs/Agents/MCP) to threat model and defend against a wide spectrum of risks, including direct/indirect prompt injection, training data poisoning, tool poisoning, and data exfiltration within agentic workflows.
• Proficiency in securing end-to-end AI pipelines, from data ingestion and training to model deployment and monitoring.
• Strong communication skills to translate complex AI risks into actionable business logic for stakeholders. 

Desired:

• Hands-on experience in modern application security tooling including SAST and SCA and DAST with experience adapting these tools to catch AI specific vulnerabilities like indirect prompt injection. 
• Expertise in identity standards including OAuth 2.1 and PKCE.
• Experience with AI Red Teaming and conducting adversarial simulations against Large Language Models (LLMs) and agentic systems.
• Proficiency in at least one general programming language (Python, Go, etc) with experience in container security and workload isolation.
• Proven ability to operate with autonomy and drive high impact outcomes in ambiguous environments by identifying and executing on critical projects without predefined roadmaps or direct supervision.

Location

 This role will be remote based in Ireland 

Travel 

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.

What We Offer

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. Because our technology is purpose-built for restaurants, by restaurant people - and increasingly shaped by AI in both what we build and how we build - restaurants can trust that we'll deliver on their needs for today while investing in the experiences that will power their restaurant of the future.

AI Foundations is Toast's internal platform team for AI. We build the infrastructure, governance, and developer tooling that makes AI a reliable, scalable force multiplier across the entire product development lifecycle. Our products include the LLM Proxy, AI Key Management, Observability pipelines, the Claude Plugin Marketplace, and autonomous agents that participate directly in the software development lifecycle.

As a Senior Software Engineer on this team, you'll be hands-on building full-stack across the systems other Toast engineers depend on every day: the LLM proxy, agentic workflows, and the plugin marketplace that brings AI-native development practices to teams across the company.

A day in the life (Responsibilities)

• Design, build, and ship features across AI platform infrastructure, including the LLM proxy, AI key management, and observability pipelines
• Develop and extend autonomous agents that participate in the SDLC, such as the AI Review GitHub App and Developer Platform MCP integrations
• Build on and contribute to the internal plugin marketplace, developing plugins that encode Toast's architectural standards and quality practices into AI assistant behavior
• Implement MCP (Model Context Protocol) services and service templates that make it faster and easier for teams across Toast to build AI-powered workflows
• Contribute full-stack across backend services and frontend or developer-facing interfaces as needed
• Write high-quality, well-tested code and participate in design and code reviews
• Partner closely with product management to shape feature requirements, contribute to roadmap discussions, and translate product vision into reliable technical solutions

What you'll need to thrive (Requirements)

• 5+ years of experience designing and implementing scalable software systems, with a full-stack background spanning backend services and frontend or developer-facing interfaces
• Demonstrated experience building, deploying, or operating LLM-powered agents or AI-assisted developer tooling
• Familiarity with AI coding assistants (e.g., Claude Code, Cursor, GitHub Copilot) and an interest in extending them through custom plugins, skills, or hooks
• Experience with MCP (Model Context Protocol), tool use patterns, or agentic frameworks
• Working knowledge of prompt engineering and how LLM behavior responds to context and instructions
• Strong foundation in modern backend (Java, Kotlin, or similar) and frontend (TypeScript, React, or similar) technologies
• Experience with distributed systems, REST APIs, and cloud-native infrastructure
• Strong customer empathy and a drive to make developers' lives better through reliable, well-designed platform solutions

What will make you stand out

• Familiarity with A2A (Agent-to-Agent) protocols and multi-agent orchestration patterns
• Experience with machine learning concepts, model evaluation, or ML infrastructure
• Experience building developer experience platforms, internal tooling, or API gateways
• Familiarity with observability tooling for AI/LLM systems (e.g., Langfuse, DataDog)

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

About the Opportunity

Become part of the AI revolution at Contentful where we build real world AI solutions for thousands of active customers.
At Contentful you will help imagine, drive, and build ML solutions which produce immediate customer impact by helping them get more done than they ever imagined. We are looking for an excellent machine learning engineer who understands and has experience in this field and current Generative AI trends. If you're passionate about pushing the boundaries of what's achievable with ML products on a large scale content management system, we want you on our team.

What to expect? 

• Measure and ensure the high-quality output of ML workloads for our enterprise customers.
• Design, build, and measure production software in the Contentful Platform.
• Conduct focused research and testing using tools like Jupyter Notebook.
• Optimize generative AI products for accuracy, speed, and scalability.
• Integrate ML cloud solutions and adapt them to our large-scale use cases.
• Integrate prompt engineering and fine-tuning for customer use cases.
• Develop software that scales to meet the demands of high-load customer workloads.
• Lead design reviews with peers and stakeholders to decide amongst available technologies.
• Drive the ML education in the team and establish a high standard of quality & ownership

What you need to be successful?

• Proven experience as a technical leader in a product software development environment
• Proven Track Record in Model Development, including successfully developing and deploying LLM-based models for various NLP tasks in real-world applications with production workloads
• Proven ability to work backwards from customer needs to deliver ML-based features that meet those needs
• Ability to organize and prioritize competing workloads
• Familiarity with distributed systems and cloud services (e.g., AWS, Azure, GCP)
• Solid understanding of machine learning principles
• Experience with container frameworks such as Docker or Kubernetes
• Constructive Problem-Solving: As a natural problem-solver, you bring forward ideas that lead to practical solutions and contribute to product growth.
• Up-To-Date on The Latest Updates on LLM Development & Research: From RAGs to Open-Source models over Agent Architectures – you have an inherent drive to stay up-to-date on what is the latest and greatest

Preferred:

• Background includes machine learning and AI implementation
• You can translate a research paper into a PoC if the code does not exist

What’s in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days,  education days, compassion days for loss, and volunteer days
• Time off to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication phone/internet stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

About the opportunity

Join Contentful as a Senior AI Software Engineer (f/m/d) and innovate with AI Integrations

At Contentful, we empower thousands of customers to manage content at scale with speed, flexibility, and precision. We are seeking talented Senior AI Software Engineers (f/m/d) to join our AI Platform team—a group dedicated to building and maintaining an internal AI platform that accelerates innovation across our organization.

As a key contributor, you will help shape the internal AI ecosystem by developing scalable, high-performance AI integrations, APIs, tools and documentation that empower feature teams to efficiently test, deliver and maintain cutting-edge AI-driven products. Acting as both a support and consultancy resource, you’ll collaborate closely with feature teams to enhance their development capabilities and bring AI-powered solutions to life. By building intuitive internal tooling and fostering seamless integration of AI technologies, your work will drive efficiency and innovation throughout Contentful.

If you are passionate about advancing AI technology, enabling teams with powerful tools, and redefining how we build and deliver AI solutions, we’d love to have you join us. Together, we’ll build systems that set new standards for AI integration and empower our teams to create smarter, more impactful content solutions.

What to expect? 

• Collaborate and Innovate: Work closely with product managers, designers, and other engineers to build best-in-class AI-enabled features for our customers, ensuring seamless integration of AI technologies with existing systems.
• Platform Development: Design, develop, and maintain scalable AI platform features using TypeScript and Node.js, to enable feature teams, while ensuring they are compatible with other services, and APIs.
• AI Integration: Implement and integrate AI technologies, such as generative AI, machine learning models, or NLP, to enhance our platform’s capabilities, optimize processes, and improve user experiences.
• Holistic Thinking: Think critically about the interactions between AI models and product components to ensure a cohesive and intuitive user experience.
• Rapid Problem-Solving: Quickly fix bugs and solve problems, particularly related to AI performance, model integration, or data pipeline issues, to enhance customer satisfaction.
• Continuous Improvement: Participate in code reviews and contribute to improving our AI development processes, ensuring that the AI components are scalable, efficient, and maintainable.
• Stay Current: Keep up-to-date with the latest industry trends, particularly in the domains of AI and machine learning, ensuring the platform stays competitive by leveraging cutting-edge AI technologies.

What you need to be successful?

• API and Service Design: Proven experience in building APIs and services that efficiently handle large volumes of traffic. Deep interest in clean code practices and familiarity with enterprise architectural design patterns
• Serverless Architectures: Experience with serverless architectures, ideally edge compute environments such as Cloudflare Workers.
• Asynchronous Systems: Experience with building and maintaining asynchronous systems for automation and bulk use cases.
• Containerization and Orchestration: Experience with Docker and Kubernetes, especially in deploying AI models or microservices.
• Enterprise Solutions: Knowledge with implementing enterprise ready governance features such as RBAC, audit logging, and compliance frameworks. 
• Cloud Services Familiarity: Knowledge of cloud platforms like AWS, Azure, or GCP. Experience with services such as AWS SageMaker, Google AI, or Azure Machine Learning is a plus.
• Problem-Solving Skills: A natural problem-solver who brings forward innovative ideas to integrate and features within product workflows, leading to practical solutions and product growth.
• Collaborative Mindset: Excellent communication skills and the ability to collaborate effectively in a team environment.
• Adaptability: Ability to organize and prioritize competing workloads in a fast-paced, AI-driven environment, ensuring AI and software systems align with business objectives.

Preferred:

• AI and Machine Learning Expertise: Skills in integrating and implementing AI/ML solutions within a product development environment. Skills in foundational models, prompt engineering and understanding to validate the quality of AI products.
• Platform Experience: Experience in developing platform features to enable internal teams
• Full Stack Experience: Strong skills in TypeScript, React, and Node.js.

What’s in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days,  education days, compassion days for loss, and volunteer days
• Time off to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication phone/internet stipend and phone hardware upgrade reimbursement
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best

About the opportunity

Join Contentful as a Senior AI Software Engineer (f/m/d) and innovate with AI Integrations

At Contentful, we empower thousands of customers to manage content at scale with speed, flexibility, and precision. We are seeking talented Senior AI Software Engineers (f/m/d) to join our AI Platform team—a group dedicated to building and maintaining an internal AI platform that accelerates innovation across our organization.

As a key contributor, you will help shape the internal AI ecosystem by developing scalable, high-performance AI integrations, APIs, tools and documentation that empower feature teams to efficiently test, deliver and maintain cutting-edge AI-driven products. Acting as both a support and consultancy resource, you’ll collaborate closely with feature teams to enhance their development capabilities and bring AI-powered solutions to life. By building intuitive internal tooling and fostering seamless integration of AI technologies, your work will drive efficiency and innovation throughout Contentful.

If you are passionate about advancing AI technology, enabling teams with powerful tools, and redefining how we build and deliver AI solutions, we’d love to have you join us. Together, we’ll build systems that set new standards for AI integration and empower our teams to create smarter, more impactful content solutions.

What to expect? 

• Collaborate and Innovate: Work closely with product managers, designers, and other engineers to build best-in-class AI-enabled features for our customers, ensuring seamless integration of AI technologies with existing systems.
• Platform Development: Design, develop, and maintain scalable AI platform features using TypeScript and Node.js, to enable feature teams, while ensuring they are compatible with other services, and APIs.
• AI Integration: Implement and integrate AI technologies, such as generative AI, machine learning models, or NLP, to enhance our platform’s capabilities, optimize processes, and improve user experiences.
• Holistic Thinking: Think critically about the interactions between AI models and product components to ensure a cohesive and intuitive user experience.
• Rapid Problem-Solving: Quickly fix bugs and solve problems, particularly related to AI performance, model integration, or data pipeline issues, to enhance customer satisfaction.
• Continuous Improvement: Participate in code reviews and contribute to improving our AI development processes, ensuring that the AI components are scalable, efficient, and maintainable.
• Stay Current: Keep up-to-date with the latest industry trends, particularly in the domains of AI and machine learning, ensuring the platform stays competitive by leveraging cutting-edge AI technologies.

What you need to be successful?

• API and Service Design: Proven experience in building APIs and services that efficiently handle large volumes of traffic. Deep interest in clean code practices and familiarity with enterprise architectural design patterns
• Serverless Architectures: Experience with serverless architectures, ideally edge compute environments such as Cloudflare Workers.
• Asynchronous Systems: Experience with building and maintaining asynchronous systems for automation and bulk use cases.
• Containerization and Orchestration: Experience with Docker and Kubernetes, especially in deploying AI models or microservices.
• Enterprise Solutions: Knowledge with implementing enterprise ready governance features such as RBAC, audit logging, and compliance frameworks. 
• Cloud Services Familiarity: Knowledge of cloud platforms like AWS, Azure, or GCP. Experience with services such as AWS SageMaker, Google AI, or Azure Machine Learning is a plus.
• Problem-Solving Skills: A natural problem-solver who brings forward innovative ideas to integrate and features within product workflows, leading to practical solutions and product growth.
• Collaborative Mindset: Excellent communication skills and the ability to collaborate effectively in a team environment.
• Adaptability: Ability to organize and prioritize competing workloads in a fast-paced, AI-driven environment, ensuring AI and software systems align with business objectives.

Preferred:

• AI and Machine Learning Expertise: Skills in integrating and implementing AI/ML solutions within a product development environment. Skills in foundational models, prompt engineering and understanding to validate the quality of AI products.
• Platform Experience: Experience in developing platform features to enable internal teams
• Full Stack Experience: Strong skills in TypeScript, React, and Node.js.

What’s in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days,  education days, compassion days for loss, and volunteer days
• Time off to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication phone/internet stipend and phone hardware upgrade reimbursement
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

Because our technology is purpose-built for restaurants, by restaurant people - and increasingly shaped by AI in both what we build and how we build - restaurants can trust that we'll deliver on their needs for today while investing in the experiences that will power their restaurant of the future.

An AI pod is Toast's AI-native engineering team, a focused pod of specialists who tackle complex, high-impact problems across Toast's product and platform landscape using AI-first approaches.

As a Principal Software Engineer, you'll work full-stack across ambitious, cross-cutting initiatives, bringing deep technical expertise and architectural judgment to some of the hardest problems at Toast.

A day in the life (Responsibilities)

• Lead full-stack design and delivery of AI-native solutions that address complex, cross-functional problems across Toast
• Drive technical architecture for pod initiatives, from backend services and APIs to frontend and developer-facing interfaces
• Build and integrate LLM-powered agents, tools, and workflows that bring AI capabilities directly into product and platform contexts
• Set and uphold engineering standards within the pod: code quality, system design, testing, and operational practices
• Mentor engineers through design reviews, code reviews, and pairing
• Partner with stakeholders across Toast engineering to define problem scope, align on approach, and deliver outcomes
• Serve as a technical voice in cross-team architecture discussions, connecting pod work to broader Toast engineering patterns

What you'll need to thrive (Requirements)

• 10+ years of experience designing and delivering scalable software systems, with a strong full-stack background spanning backend services and frontend or developer-facing interfaces
• Demonstrated experience leading technical architecture for a platform, product, or engineering team
• Experience building, deploying, or operating LLM-powered agents or AI platform infrastructure
• Familiarity with AI coding assistants (e.g., Claude Code, Cursor, GitHub Copilot) and experience extending them through custom plugins, skills, or hooks
• Experience with MCP (Model Context Protocol), tool use patterns, or similar agentic integration frameworks
• Strong prompt engineering skills and intuition for how LLM behavior responds to context and instructions
• Strong foundation in modern backend (Java, Kotlin, or similar) and frontend (TypeScript, React, or similar) technologies
• A bias towards action and comfort operating in ambiguous, rapidly evolving problem spaces

What will help you stand out

• Familiarity with A2A (Agent-to-Agent) protocols and multi-agent orchestration patterns
• Experience with machine learning concepts, model evaluation, or ML infrastructure
• Experience building developer experience platforms or internal tooling
• Familiarity with observability tooling for AI/LLM systems (e.g., Langfuse, DataDog)

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

#LI-Hybrid
#BI-Hybrid

What's the opportunity?

Fin is the #1 AI agent for customer service. It resolves over 1M customer conversations every week, and we're just getting started. We're on the cutting edge of defining how AI agents should work — inventing paradigms that didn't exist six months ago and discovering entirely new problem spaces every time we push the technology further.

This role sits at the heart of the Service Agent pillar — 12 teams and growing, building every capability that makes Fin work. You'll partner at the strategic pillar level: broad context across work streams, deep technical understanding of how Fin operates end-to-end, and the autonomy to decide where you need to go next. When we need a new work stream spun up from scratch — a brand new team, an ambiguous problem space, aggressive timelines — you're the person who makes that happen.

The competitive landscape is intense. Fast-moving AI-native startups are coming hard for this space, shipping aggressively and going after the same deals we are. We need someone who thrives under that pressure, who can maintain technical excellence while moving at startup speed within a company that has the resources and customer base to make that speed count.

What will you do?

• Partner at the strategic pillar level. You'll have broad context across work streams and use that to inform technical strategy and investment priorities. What should we care about? Where should we invest? Where do you need to step in? These are your decisions.
• Spin up 0-to-1 work streams. Bring together engineers who've never worked as a team, disambiguate the problem space, build momentum under aggressive timelines, set high expectations, and drive execution.
• Execute on the most ambiguous, highest-stakes problems. You're hands-on. You write code, you ship features, you're deep in the weeds. We've seen too many Principal Engineers who are brilliant but too far from execution to be effective here.
• Lead experimental work at the AI frontier. Run your own A/B tests, do prompt engineering, build evals, and calibrate accuracy, cost, and latency for LLM-powered features. Much of what we're building are new paradigms for customer-facing software.
• Shape long-term technical strategy through execution. Your hands-on work informs the architecture. You're simultaneously building and thinking about what needs to change about how we build products — data models, system design, the shift from GUI-first to agent-first interfaces.
• Work across the full stack in an AI-first development environment. Every engineer has Claude Code with unlimited tokens and a sophisticated ecosystem of MCP servers, skills, and shared context. You'll push the boundaries of what's possible with AI-assisted development and help shape how the entire engineering org works.
• Raise the bar for the people around you. Give direct, actionable feedback that changes outcomes. We don't need someone who mentors juniors on the basics — we need someone who can accelerate and grow the senior and staff engineers around them.

What are we looking for?

The core requirement: engineering depth and product thinking. We need someone who combines deep engineering ability with strong product and design instincts — not one or the other. We don't want engineers who are technically brilliant but disconnected from the product. And we don't want product-minded engineers who have great instincts but can't execute at the level this work demands. You need to be able to both build complex systems AND identify the right problems to solve. This is the single most important dimension we evaluate on.

Beyond that:

• Operated at real scale and has builder energy. You've likely spent time at companies operating at significant scale — the kind of environment where you've seen what large-scale distributed systems actually look like in production. But you also have startup DNA: urgency, resourcefulness, a bias toward building over discussing.
• AI fluency. You're actively experimenting with AI-assisted development, pushing the boundaries of what's possible, and forming opinions about how it changes the way teams build software. This matters more than any specific stack experience.
• Deep technical depth with breadth. You can go deep into the weeds on at least one technical domain, but you also navigate complex multi-team systems with ease. In conversation, you move fluidly from business context to technical strategy to implementation details.
• Communication as a superpower. You can explain to leadership why a technical investment matters, align multiple teams around a complex project, and then walk an engineer through the gnarly implementation details. This role lives and dies on your ability to communicate across every level.
• Extreme autonomy. You partner with the Engineering Director on where you think the pillar needs to go next. You identify problems, form convictions, and act on them. If you're the kind of engineer who waits to be told what to work on, this isn't the right role.
• Critical thinking about the business. You understand what Intercom is optimizing for and translate that into technical decisions. Which work streams need investment? Where are we falling behind? What should we defund to go harder somewhere else? You think at this level naturally.
• At least ~10+ years of experience, with significant time as a technical leader driving complex projects across multiple teams and stakeholders.
• Stack agnostic. We use Ruby on Rails, React (migrating from Ember), and AWS. But AI tools increasingly abstract the stack — what matters is your ability to learn, build, and operate effectively with tools like Claude Code. If you're great with a high-level programming language and fluent with AI-assisted development, you'll be productive fast.

Why Intercom, why now?

Fin is #1 — and the race is heating up. We built the leading AI agent for customer service, but fast-moving AI-native startups are coming for this space. This is one of the most consequential competitive moments in tech history, and the engineering decisions made in the next 12 months will determine who wins.

A rare pivot that actually worked. Intercom has been building for 15 years — deep product, massive customer base, strong revenue. But unlike most legacy SaaS companies, we made a successful pivot to AI. While most of SaaS trends down, Intercom trends up. We recently raised $250M to go even further even faster..

AI-first engineering culture. Every engineer gets Claude Code with unlimited Opus 4.6 tokens and 1M context. We're investing heavily in the platform capabilities — MCP servers, skills, shared tooling — that make AI-assisted development genuinely transformative. You'll be at the sharp edge of figuring out what this means for how teams work.

The sweet spot. Big enough to have real resources, customers, and revenue. Small enough that you have genuine agency. Bold enough to make decisions that most companies of this size wouldn't. You come to Intercom if you want the impact of a startup with the backing of a company that's been winning for 15 years.

Benefits

We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! 

• Competitive salary and equity in a fast-growing start-up
• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
• Regular compensation reviews - we reward great work!
• Pension scheme & match up to 4%
• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
• Flexible paid time off policy
• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
• If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too 
• MacBooks are our standard, but we also offer Windows for certain roles when needed.

#LI-Hybrid

Your Role:

Tenable's cloud-based exposure management platform helps organizations see, understand, and reduce cyber risk across their entire attack surface. Our SRE teams keep that platform reliable, scalable, and secure — and we're building the next generation of tooling to do it smarter.
 

This role sits within our SRE Infrastructure Management organization on a focused team dedicated to reducing operational toil through AI-powered automation. You'll build intelligent systems that replace manual workflows — from incident diagnostics to infrastructure provisioning to upgrade automation — using LLMs, agentic architectures, and deep SRE domain knowledge.
 

This isn't an operations role with some AI on the side. You'll spend most of your time writing production code: designing and building agentic workflows, integrating across observability and infrastructure platforms, and measuring the impact of what you ship against real toil data.

Your Opportunity:

• Design and build AI-powered agentic workflows that automate complex SRE operations — incident investigation, infrastructure provisioning, deployment reliability, and more.
• Improve the accuracy, reliability, and observability of agent pipelines through evaluation frameworks, prompt engineering, retrieval strategies, and structured output validation.
• Build developer tools and internal platforms — CLI tools, IDE plugins, and workflow automation — that engineers across the organization use daily.
• Build tooling that connects across the SRE tech stack — Kubernetes, Terraform, Helm, CI/CD pipelines, observability platforms, and cloud infrastructure APIs.
• Work on a focused team where everyone writes code, owns what they ship, and drives prioritization from measured toil data.
• Participate in SRE on-call rotation — we use on-call as a direct input into what we build, not just a firefighting duty.
• Collaborate with SRE teams across the organization to identify automation opportunities and deliver tooling that gives engineers hours back.

What Success Looks Like:

• Within your first few months, you've shipped an agentic workflow that automates a real SRE toil category — and engineers are using it.
• Within 6 months, you're independently designing and building AI-powered pipelines, contributing to the team's evaluation and accuracy practices, and your work is driving measurable toil reduction.
• Within a year, you've become a go-to contributor on the team — shaping the roadmap, mentoring others on AI + SRE patterns, and building systems that scale the team's impact across engineering.

What You'll Need:

And Ideally:

We're looking for a Staff Software Engineer with deep experience in AI/ML to join the Notebooks team. Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations, and technical documentation. Its fluidity makes it an ideal surface for agents and humans to interact. The Notebook team is building AI-driven workflows for natural-language data analysis, assisted graph generation, automated investigations, and more. You will act as a technical leader in this domain, focused on building industry-leader AI-powered features. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features.
• Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products.
• Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability.
• Drive product direction with a strong user focus, always advocating for the best end-user experience.
• Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows.
• Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes.
• Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.

Who You Are:

• You have a BS/MS/PhD in a scientific field or equivalent experience
• 10+ years of relevant engineering experience, as well as experience acting as a technical lead
• Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
• You have significant experience in model deployment, development, training, fine-tuning, and evaluation
• You are passionate about mentoring others and cultivating a high-performing engineering culture.
• You’re excited about leveraging AI tools to enhance how you code, solve problems, and build

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee-focused best in class onboarding
• Internal mentor and cross-departmental buddy program
• Friendly and inclusive workplace culture
  
  

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Remote

An overview of this role

As a Staff Backend Engineer (Python) on the Duo Chat team in AI Engineering, you'll lead the backend architecture that powers GitLab Duo Chat across the GitLab DevSecOps platform. You'll solve hard problems in building reliable, secure, and scalable AI-powered chat workflows so customers can plan, write, review, and secure code faster, with confidence. This is a hands-on technical leadership role where you'll set direction for how we integrate and evolve large language model providers (including Google Vertex AI) across Ruby on Rails and Python services, raise the bar on observability and testing, and guide the team through ambiguous, high-impact technical decisions. Over your first year, you'll be expected to drive key architectural choices, reduce technical debt that slows iteration, and help the team ship durable improvements to response quality, reliability, and maintainability.

Some examples of our projects:

• Integrate new generative AI models and providers into GitLab Duo Chat to expand capabilities and improve response quality
• Improve debugging, observability, and test coverage for AI-powered chat workflows to increase reliability at scale

What you'll do

• Define the technical architecture and technical roadmap for the Duo Chat group, aligning backend execution with product direction and engineering priorities
• Solve the highest-scope and most ambiguous backend problems, delivering secure, well-tested, performant solutions with minimal guidance
• Integrate and extend generative AI capabilities in GitLab Duo Chat, including large language models (LLMs) and providers such as Google Vertex AI
• Develop, ship, and maintain backend features across Python and Ruby on Rails services that power Duo Chat experiences across the GitLab platform
• Design, implement, and review GraphQL application programming interface (API) contracts and supporting backend logic to ensure reliability, scalability, and clear frontend integrations
• Improve observability, debugging workflows, and incident readiness by strengthening logging, tracing, and production troubleshooting practices
• Drive code quality and long-term maintainability by setting internal standards, leading code reviews, and identifying and reducing technical debt
• Mentor engineers across the team and participate in Tier 2 on-call rotations, contributing to root cause analysis and follow-up improvements to resiliency and testing (including RSpec)

What you'll bring

• Production experience building and operating backend services in Python, including background jobs, APIs, and data models
• Ability to define and evolve technical architecture by weighing trade-offs, selecting patterns and tools, and setting a clear technical direction for others to follow
• Experience setting and driving a technical roadmap in partnership with product and engineering stakeholders
• Proficiency designing and maintaining REST and/or GraphQL APIs with attention to scalability, maintainability, and backward compatibility
• Hands-on experience integrating large language models into applications, including prompt design and building features powered by generative AI
• Strong SQL skills and experience working with relational databases such as PostgreSQL, including efficient queries and data modeling
• Experience mentoring engineers through code review, architectural guidance, and shared standards, and communicating complex technical decisions in a clear, async-first way
• Comfort contributing in a mature codebase across Python and Ruby on Rails, with openness to learning and applying transferable skills from related technologies or domains

About the team

The Duo Chat team sits within GitLab's AI Engineering organization and is responsible for building and evolving GitLab Duo Chat, the AI-powered chat experience embedded across the GitLab DevSecOps platform. You'll work with a small, cross-functional group of backend, frontend, and AI specialists who collaborate asynchronously across time zones, using GitLab issues, merge requests, and documentation as the primary way of working. The team focuses on integrating and scaling generative AI capabilities (including providers like Google Vertex AI), improving reliability and performance, and strengthening debugging, observability, and testing workflows so customers can safely use AI to plan, write, review, and secure their code across GitLab.

Rithum™ is the world’s most trusted commerce network, accelerating how brands, suppliers, and retailers work together to deliver seamless e-commerce experiences. We provide an unmatched platform for brands and retailers, enabling them to accelerate growth, optimise operations across channels, scale product offerings and enhance margins.

Today, more than 40,000 companies trust Rithum to grow their business across hundreds of channels, representing over $50 billion in annual GMV. Using our commerce, marketing, and delivery solutions, our customers create optimised consumer shopping journeys from beginning to end.

Overview

As a Senior Data Engineer, you are a key architect in developing, delivering and maintaining intelligent data infrastructure that powers advanced analytics. You are an experienced data engineer with strong ETL pipeline and dimensional modeling skills, who is ready to leverage AI as a powerful collaborator and brings a depth of knowledge to ensure it is employed effectively for the long-term health of our business systems. You are responsible for building complex data pipelines from the ground up, delivering data into and enhancing a database infrastructure that powers advanced analytics, AI-driven decision-making, and autonomous data operations. You work across the organization, supporting and collaborating with our product teams, engineers, data scientists, and data analysts. In this context, you enhance and support our company’s cloud data architecture to support our products and data initiatives, for external clients as well as internal users.

Responsibilities

Core Data Infrastructure 

• Design and implement scalable ETL/ELT workflows that support both batch and streaming data using AWS primitives (e.g., S3, Kinesis, Glue, Redshift, Athena) 
• Architect and maintain cloud-native data platforms with automated ingestion, transformation, and governance pipelines using modern tools like DBT, Apache Spark, Delta Lake, Airflow, and Databricks 
• Work with stakeholders, including the Product, BI, and Support teams, to assist with data-related technical challenges and support their data and infrastructure needs.
• Collaborate with cross-functional Engineering teams using analytics to predict data needs and proactively deliver solutions. 
• Assist in the optimization of data lake/lakehouse infrastructure, to support AI workloads and large-scale analytics. 

Governance & Collaboration 

• Ensure data quality, lineage, and observability.
• Develop and enforce data governance policies, including compliance monitoring and privacy protection. 
• Partner with Data Scientists to optimize data pipelines for model training, inference, and continuous learning workflows. 

Advanced Data Operations 

• Build self-healing data pipelines with AI-driven error detection, root cause analysis, and automated remediation capabilities. 
• Implement intelligent data lineage tracking to automatically discover relationships between datasets and predict downstream impact of changes. 
• Create AI-assisted data discovery systems that help stakeholders find relevant datasets and understand data semantics through natural language interfaces. 
• Participate in on-call rotation, as needed.

AI-Enhanced Development

• Leverage AI coding assistants (GitHub Copilot, Cursor, etc.) to
• Accelerate development cycles, generate complex SQL queries, and automatically optimize data pipeline code. 
• Develop data quality monitoring, using anomaly detection and data profiling tools to identify issues, before they impact downstream systems. 
• Optimize pipeline orchestration, with ML to predict optimal scheduling, resource allocation, and failure recovery patterns.
• Generate and maintain living documentation that evolves with code changes. 

Leadership & Innovation 

• Participate in the full software development lifecycle, including both manual and AI-assisted requirements gathering, automated testing, and intelligent deployment strategies. 
• Mentor junior engineers on both traditional data engineering practices and effective use of AI development tools. 
• Lead tool evaluation and adoption for the data engineering team, establishing best practices for human-AI collaboration. 
• Drive innovation in data architecture by experimenting with emerging technologies.

Qualifications 

Minimum Qualifications  

• 3+ years of experience in data engineering, including building and maintaining large-scale data pipelines
• Extensive experience in SQL RDBMS (SQLServer or similar) with dimensional modeling using star schema, and foundational data warehousing concepts
• Hands-on experience with AWS services such as Redshift, Athena, S3, Kinesis, Lambda, Glue 
• Experience with DBT, Databricks or similar data platform tooling
• Experience working with structured and unstructured data and implementing data quality frameworks
• Excellent communication and collaboration skills 
• Demonstrated experience using AI coding tools (GitHub Copilot, Cursor, or similar), with understanding of prompt engineering, to enhance development productivity 
• Understanding of AI/ML concepts and data requirements, including feature stores, model versioning, and real-time inference pipelines

Preferred Qualifications 

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• Experience in a SaaS or e-commerce environment with AI/ML products
• Knowledge of stream processing frameworks like Kafka, Flink, or Spark Structured Streaming 
• Familiarity with LLMOps and AI model deployment patterns in data infrastructure 
• Experience with AI-powered data tools such as automated data catalogs, intelligent monitoring systems, or AI-assisted query optimization
• Proven ability to thrive in a fast-paced, agile environment with shifting priorities and emerging technologies
• Experience with containerization and orchestration tools like Docker and Kubernetes 

Travel Required

Up to 10%

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

What it’s like to work at Rithum 

When you join Rithum, you can expect to work with smart risk-takers, courageous collaborators, and curious minds.

As part of the Rithum team, you are valued, supported, and included. Guided by a transparent culture and accessible, approachable leadership, we offer career opportunities aligned to your ambitions and talents. To ensure work and life balance works for you, we also offer an array of resources to support you and your families, including comprehensive benefits and wellness plans.

At Rithum you will:

• Partner with the leading brands and retailers.
• Connect with passionate professionals who will help support your goals.
• Participate in an inclusive, welcoming work atmosphere.
• Achieve work-life balance through remote-first working conditions, generous time off, and wellness days.
• Receive industry-competitive compensation and total rewards benefits.

Benefits 

• Medical, Dental and Psychology benefits 
• Life insurance and disability benefits
• Competitive time off package with 25 Days of PTO, 8 Company-paid Holidays, 5 paid floating holidays (new in 2026!), 2 Wellness days and 1 Paid Volunteer Day 
• Voucher program for Transportation, Meals & Childcare 
• Remote Working Stipend: €40/month automatically applied in payroll
• Access to tools to support your wellbeing such as the Calm App and an Employee Assistance Program 
• Professional development stipend and learning and development offerings to help you build the skills and connections you need to move forward in your career. 
• Charitable contribution match per team member 

Rithum is an equal opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other protected characteristic. All employment is decided on the basis of qualifications, merit, and business need.

We're committed to providing reasonable accommodations in accordance with the law for qualified applicants. If you require assistance during the interview process due to a medical condition or need support accessing our website or completing the application process, please reach out to us by completing the Accommodations Request Form. Your comfort and accessibility are important to us, and we're here to ensure a seamless experience as you explore opportunities with our team.

Rithum™ is the world’s most trusted commerce network, accelerating how brands, suppliers, and retailers work together to deliver seamless e-commerce experiences. We provide an unmatched platform for brands and retailers, enabling them to accelerate growth, optimise operations across channels, scale product offerings and enhance margins.

Today, more than 40,000 companies trust Rithum to grow their business across hundreds of channels, representing over $50 billion in annual GMV. Using our commerce, marketing, and delivery solutions, our customers create optimised consumer shopping journeys from beginning to end.

Overview

As a Senior Data Engineer, you are a key architect in developing, delivering and maintaining intelligent data infrastructure that powers advanced analytics. You are an experienced data engineer with strong ETL pipeline and dimensional modeling skills, who is ready to leverage AI as a powerful collaborator and brings a depth of knowledge to ensure it is employed effectively for the long-term health of our business systems. You are responsible for building complex data pipelines from the ground up, delivering data into and enhancing a database infrastructure that powers advanced analytics, AI-driven decision-making, and autonomous data operations. You work across the organization, supporting and collaborating with our product teams, engineers, data scientists, and data analysts. In this context, you enhance and support our company’s cloud data architecture to support our products and data initiatives, for external clients as well as internal users.

Responsibilities

Core Data Infrastructure 

• Design and implement scalable ETL/ELT workflows that support both batch and streaming data using AWS primitives (e.g., S3, Kinesis, Glue, Redshift, Athena) 
• Architect and maintain cloud-native data platforms with automated ingestion, transformation, and governance pipelines using modern tools like DBT, Apache Spark, Delta Lake, Airflow, and Databricks 
• Work with stakeholders, including the Product, BI, and Support teams, to assist with data-related technical challenges and support their data and infrastructure needs.
• Collaborate with cross-functional Engineering teams using analytics to predict data needs and proactively deliver solutions. 
• Assist in the optimization of data lake/lakehouse infrastructure, to support AI workloads and large-scale analytics. 

Governance & Collaboration 

• Ensure data quality, lineage, and observability.
• Develop and enforce data governance policies, including compliance monitoring and privacy protection. 
• Partner with Data Scientists to optimize data pipelines for model training, inference, and continuous learning workflows. 

Advanced Data Operations 

• Build self-healing data pipelines with AI-driven error detection, root cause analysis, and automated remediation capabilities. 
• Implement intelligent data lineage tracking to automatically discover relationships between datasets and predict downstream impact of changes. 
• Create AI-assisted data discovery systems that help stakeholders find relevant datasets and understand data semantics through natural language interfaces. 
• Participate in on-call rotation, as needed.

AI-Enhanced Development

• Leverage AI coding assistants (GitHub Copilot, Cursor, etc.) to
• Accelerate development cycles, generate complex SQL queries, and automatically optimize data pipeline code. 
• Develop data quality monitoring, using anomaly detection and data profiling tools to identify issues, before they impact downstream systems. 
• Optimize pipeline orchestration, with ML to predict optimal scheduling, resource allocation, and failure recovery patterns.
• Generate and maintain living documentation that evolves with code changes. 

Leadership & Innovation 

• Participate in the full software development lifecycle, including both manual and AI-assisted requirements gathering, automated testing, and intelligent deployment strategies. 
• Mentor junior engineers on both traditional data engineering practices and effective use of AI development tools. 
• Lead tool evaluation and adoption for the data engineering team, establishing best practices for human-AI collaboration. 
• Drive innovation in data architecture by experimenting with emerging technologies.

Qualifications 

Minimum Qualifications  

• 3+ years of experience in data engineering, including building and maintaining large-scale data pipelines
• Extensive experience in SQL RDBMS (SQLServer or similar) with dimensional modeling using star schema, and foundational data warehousing concepts
• Hands-on experience with AWS services such as Redshift, Athena, S3, Kinesis, Lambda, Glue 
• Experience with DBT, Databricks or similar data platform tooling
• Experience working with structured and unstructured data and implementing data quality frameworks
• Excellent communication and collaboration skills 
• Demonstrated experience using AI coding tools (GitHub Copilot, Cursor, or similar), with understanding of prompt engineering, to enhance development productivity 
• Understanding of AI/ML concepts and data requirements, including feature stores, model versioning, and real-time inference pipelines

Preferred Qualifications 

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• Experience in a SaaS or e-commerce environment with AI/ML products
• Knowledge of stream processing frameworks like Kafka, Flink, or Spark Structured Streaming 
• Familiarity with LLMOps and AI model deployment patterns in data infrastructure 
• Experience with AI-powered data tools such as automated data catalogs, intelligent monitoring systems, or AI-assisted query optimization
• Proven ability to thrive in a fast-paced, agile environment with shifting priorities and emerging technologies
• Experience with containerization and orchestration tools like Docker and Kubernetes 

Travel Required

Up to 10%

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

What it’s like to work at Rithum 

When you join Rithum, you can expect to work with smart risk-takers, courageous collaborators, and curious minds.

As part of the Rithum team, you are valued, supported, and included. Guided by a transparent culture and accessible, approachable leadership, we offer career opportunities aligned to your ambitions and talents. To ensure work and life balance works for you, we also offer an array of resources to support you and your families, including comprehensive benefits and wellness plans.

At Rithum you will:

• Partner with the leading brands and retailers.
• Connect with passionate professionals who will help support your goals.
• Participate in an inclusive, welcoming work atmosphere.
• Achieve work-life balance through remote-first working conditions, generous time off, and wellness days.
• Receive industry-competitive compensation and total rewards benefits.

Benefits 

• Medical coverage provided through Irish Life Health; premiums paid by the company 
• Life & disability insurance
• Pension plan with 5% company match
• Competitive time off package with 25 Days of PTO, 11 Company-paid holidays, 2 Wellness days and 1 Paid Volunteer Day 
• Access to tools to support your wellbeing such as the Calm App and an Employee Assistance Program 
• €50/month Remote work stipend for internet
• Professional development stipend and learning and development offerings to help you build the skills and connections you need to move forward in your career. 
• Charitable contribution match per team member  

Rithum is an equal opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other protected characteristic. All employment is decided on the basis of qualifications, merit, and business need.

We're committed to providing reasonable accommodations in accordance with the law for qualified applicants. If you require assistance during the interview process due to a medical condition or need support accessing our website or completing the application process, please reach out to us by completing the Accommodations Request Form. Your comfort and accessibility are important to us, and we're here to ensure a seamless experience as you explore opportunities with our team.

Rithum™ is the world’s most trusted commerce network, accelerating how brands, suppliers, and retailers work together to deliver seamless e-commerce experiences. We provide an unmatched platform for brands and retailers, enabling them to accelerate growth, optimise operations across channels, scale product offerings and enhance margins.

Today, more than 40,000 companies trust Rithum to grow their business across hundreds of channels, representing over $50 billion in annual GMV. Using our commerce, marketing, and delivery solutions, our customers create optimised consumer shopping journeys from beginning to end.

Overview

As a Senior Data Engineer, you are a key architect in developing, delivering and maintaining intelligent data infrastructure that powers advanced analytics. You are an experienced data engineer with strong ETL pipeline and dimensional modeling skills, who is ready to leverage AI as a powerful collaborator and brings a depth of knowledge to ensure it is employed effectively for the long-term health of our business systems. You are responsible for building complex data pipelines from the ground up, delivering data into and enhancing a database infrastructure that powers advanced analytics, AI-driven decision-making, and autonomous data operations. You work across the organization, supporting and collaborating with our product teams, engineers, data scientists, and data analysts. In this context, you enhance and support our company’s cloud data architecture to support our products and data initiatives, for external clients as well as internal users.

Responsibilities

Core Data Infrastructure 

• Design and implement scalable ETL/ELT workflows that support both batch and streaming data using AWS primitives (e.g., S3, Kinesis, Glue, Redshift, Athena) 
• Architect and maintain cloud-native data platforms with automated ingestion, transformation, and governance pipelines using modern tools like DBT, Apache Spark, Delta Lake, Airflow, and Databricks 
• Work with stakeholders, including the Product, BI, and Support teams, to assist with data-related technical challenges and support their data and infrastructure needs.
• Collaborate with cross-functional Engineering teams using analytics to predict data needs and proactively deliver solutions. 
• Assist in the optimization of data lake/lakehouse infrastructure, to support AI workloads and large-scale analytics. 

Governance & Collaboration 

• Ensure data quality, lineage, and observability.
• Develop and enforce data governance policies, including compliance monitoring and privacy protection. 
• Partner with Data Scientists to optimize data pipelines for model training, inference, and continuous learning workflows. 

Advanced Data Operations 

• Build self-healing data pipelines with AI-driven error detection, root cause analysis, and automated remediation capabilities. 
• Implement intelligent data lineage tracking to automatically discover relationships between datasets and predict downstream impact of changes. 
• Create AI-assisted data discovery systems that help stakeholders find relevant datasets and understand data semantics through natural language interfaces. 
• Participate in on-call rotation, as needed.

AI-Enhanced Development

• Leverage AI coding assistants (GitHub Copilot, Cursor, etc.) to
• Accelerate development cycles, generate complex SQL queries, and automatically optimize data pipeline code. 
• Develop data quality monitoring, using anomaly detection and data profiling tools to identify issues, before they impact downstream systems. 
• Optimize pipeline orchestration, with ML to predict optimal scheduling, resource allocation, and failure recovery patterns.
• Generate and maintain living documentation that evolves with code changes. 

Leadership & Innovation 

• Participate in the full software development lifecycle, including both manual and AI-assisted requirements gathering, automated testing, and intelligent deployment strategies. 
• Mentor junior engineers on both traditional data engineering practices and effective use of AI development tools. 
• Lead tool evaluation and adoption for the data engineering team, establishing best practices for human-AI collaboration. 
• Drive innovation in data architecture by experimenting with emerging technologies.

Qualifications 

Minimum Qualifications  

• 3+ years of experience in data engineering, including building and maintaining large-scale data pipelines
• Extensive experience in SQL RDBMS (SQLServer or similar) with dimensional modeling using star schema, and foundational data warehousing concepts
• Hands-on experience with AWS services such as Redshift, Athena, S3, Kinesis, Lambda, Glue 
• Experience with DBT, Databricks or similar data platform tooling
• Experience working with structured and unstructured data and implementing data quality frameworks
• Excellent communication and collaboration skills 
• Demonstrated experience using AI coding tools (GitHub Copilot, Cursor, or similar), with understanding of prompt engineering, to enhance development productivity 
• Understanding of AI/ML concepts and data requirements, including feature stores, model versioning, and real-time inference pipelines

Preferred Qualifications 

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• Experience in a SaaS or e-commerce environment with AI/ML products
• Knowledge of stream processing frameworks like Kafka, Flink, or Spark Structured Streaming 
• Familiarity with LLMOps and AI model deployment patterns in data infrastructure 
• Experience with AI-powered data tools such as automated data catalogs, intelligent monitoring systems, or AI-assisted query optimization
• Proven ability to thrive in a fast-paced, agile environment with shifting priorities and emerging technologies
• Experience with containerization and orchestration tools like Docker and Kubernetes 

Travel Required

Up to 10%

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

What it’s like to work at Rithum 

When you join Rithum, you can expect to work with smart risk-takers, courageous collaborators, and curious minds.

As part of the Rithum team, you are valued, supported, and included. Guided by a transparent culture and accessible, approachable leadership, we offer career opportunities aligned to your ambitions and talents. To ensure work and life balance works for you, we also offer an array of resources to support you and your families, including comprehensive benefits and wellness plans.

At Rithum you will:

• Partner with the leading brands and retailers.
• Connect with passionate professionals who will help support your goals.
• Participate in an inclusive, welcoming work atmosphere.
• Achieve work-life balance through remote-first working conditions, generous time off, and wellness days.
• Receive industry-competitive compensation and total rewards benefits.

Benefits 

• Medical, Dental and Psychology benefits 
• Life insurance and disability benefits
• Competitive time off package with 25 Days of PTO, 8 Company-paid Holidays, 5 paid floating holidays (new in 2026!), 2 Wellness days and 1 Paid Volunteer Day 
• Voucher program for Transportation, Meals & Childcare 
• Remote Working Stipend: €40/month automatically applied in payroll
• Access to tools to support your wellbeing such as the Calm App and an Employee Assistance Program 
• Professional development stipend and learning and development offerings to help you build the skills and connections you need to move forward in your career. 
• Charitable contribution match per team member 

Rithum is an equal opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other protected characteristic. All employment is decided on the basis of qualifications, merit, and business need.

We're committed to providing reasonable accommodations in accordance with the law for qualified applicants. If you require assistance during the interview process due to a medical condition or need support accessing our website or completing the application process, please reach out to us by completing the Accommodations Request Form. Your comfort and accessibility are important to us, and we're here to ensure a seamless experience as you explore opportunities with our team.

Rithum™ is the world’s most trusted commerce network, accelerating how brands, suppliers, and retailers work together to deliver seamless e-commerce experiences. We provide an unmatched platform for brands and retailers, enabling them to accelerate growth, optimise operations across channels, scale product offerings and enhance margins.

Today, more than 40,000 companies trust Rithum to grow their business across hundreds of channels, representing over $50 billion in annual GMV. Using our commerce, marketing, and delivery solutions, our customers create optimised consumer shopping journeys from beginning to end.

Overview

As a Senior Data Engineer, you are a key architect in developing, delivering and maintaining intelligent data infrastructure that powers advanced analytics. You are an experienced data engineer with strong ETL pipeline and dimensional modeling skills, who is ready to leverage AI as a powerful collaborator and brings a depth of knowledge to ensure it is employed effectively for the long-term health of our business systems. You are responsible for building complex data pipelines from the ground up, delivering data into and enhancing a database infrastructure that powers advanced analytics, AI-driven decision-making, and autonomous data operations. You work across the organization, supporting and collaborating with our product teams, engineers, data scientists, and data analysts. In this context, you enhance and support our company’s cloud data architecture to support our products and data initiatives, for external clients as well as internal users.

Responsibilities

Core Data Infrastructure 

• Design and implement scalable ETL/ELT workflows that support both batch and streaming data using AWS primitives (e.g., S3, Kinesis, Glue, Redshift, Athena) 
• Architect and maintain cloud-native data platforms with automated ingestion, transformation, and governance pipelines using modern tools like DBT, Apache Spark, Delta Lake, Airflow, and Databricks 
• Work with stakeholders, including the Product, BI, and Support teams, to assist with data-related technical challenges and support their data and infrastructure needs.
• Collaborate with cross-functional Engineering teams using analytics to predict data needs and proactively deliver solutions. 
• Assist in the optimization of data lake/lakehouse infrastructure, to support AI workloads and large-scale analytics. 

Governance & Collaboration 

• Ensure data quality, lineage, and observability.
• Develop and enforce data governance policies, including compliance monitoring and privacy protection. 
• Partner with Data Scientists to optimize data pipelines for model training, inference, and continuous learning workflows. 

Advanced Data Operations 

• Build self-healing data pipelines with AI-driven error detection, root cause analysis, and automated remediation capabilities. 
• Implement intelligent data lineage tracking to automatically discover relationships between datasets and predict downstream impact of changes. 
• Create AI-assisted data discovery systems that help stakeholders find relevant datasets and understand data semantics through natural language interfaces. 
• Participate in on-call rotation, as needed.

AI-Enhanced Development

• Leverage AI coding assistants (GitHub Copilot, Cursor, etc.) to
• Accelerate development cycles, generate complex SQL queries, and automatically optimize data pipeline code. 
• Develop data quality monitoring, using anomaly detection and data profiling tools to identify issues, before they impact downstream systems. 
• Optimize pipeline orchestration, with ML to predict optimal scheduling, resource allocation, and failure recovery patterns.
• Generate and maintain living documentation that evolves with code changes. 

Leadership & Innovation 

• Participate in the full software development lifecycle, including both manual and AI-assisted requirements gathering, automated testing, and intelligent deployment strategies. 
• Mentor junior engineers on both traditional data engineering practices and effective use of AI development tools. 
• Lead tool evaluation and adoption for the data engineering team, establishing best practices for human-AI collaboration. 
• Drive innovation in data architecture by experimenting with emerging technologies.

Qualifications 

Minimum Qualifications  

• 3+ years of experience in data engineering, including building and maintaining large-scale data pipelines
• Extensive experience in SQL RDBMS (SQLServer or similar) with dimensional modeling using star schema, and foundational data warehousing concepts
• Hands-on experience with AWS services such as Redshift, Athena, S3, Kinesis, Lambda, Glue 
• Experience with DBT, Databricks or similar data platform tooling
• Experience working with structured and unstructured data and implementing data quality frameworks
• Excellent communication and collaboration skills 
• Demonstrated experience using AI coding tools (GitHub Copilot, Cursor, or similar), with understanding of prompt engineering, to enhance development productivity 
• Understanding of AI/ML concepts and data requirements, including feature stores, model versioning, and real-time inference pipelines

Preferred Qualifications 

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• Experience in a SaaS or e-commerce environment with AI/ML products
• Knowledge of stream processing frameworks like Kafka, Flink, or Spark Structured Streaming 
• Familiarity with LLMOps and AI model deployment patterns in data infrastructure 
• Experience with AI-powered data tools such as automated data catalogs, intelligent monitoring systems, or AI-assisted query optimization
• Proven ability to thrive in a fast-paced, agile environment with shifting priorities and emerging technologies
• Experience with containerization and orchestration tools like Docker and Kubernetes 

Travel Required

Up to 10%

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

What it’s like to work at Rithum 

When you join Rithum, you can expect to work with smart risk-takers, courageous collaborators, and curious minds.

As part of the Rithum team, you are valued, supported, and included. Guided by a transparent culture and accessible, approachable leadership, we offer career opportunities aligned to your ambitions and talents. To ensure work and life balance works for you, we also offer an array of resources to support you and your families, including comprehensive benefits and wellness plans.

At Rithum you will:

• Partner with the leading brands and retailers.
• Connect with passionate professionals who will help support your goals.
• Participate in an inclusive, welcoming work atmosphere.
• Achieve work-life balance through remote-first working conditions, generous time off, and wellness days.
• Receive industry-competitive compensation and total rewards benefits.

Benefits 

• Medical coverage provided through Irish Life Health; premiums paid by the company 
• Life & disability insurance
• Pension plan with 5% company match
• Competitive time off package with 25 Days of PTO, 11 Company-paid holidays, 2 Wellness days and 1 Paid Volunteer Day 
• Access to tools to support your wellbeing such as the Calm App and an Employee Assistance Program 
• €50/month Remote work stipend for internet
• Professional development stipend and learning and development offerings to help you build the skills and connections you need to move forward in your career. 
• Charitable contribution match per team member  

Rithum is an equal opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other protected characteristic. All employment is decided on the basis of qualifications, merit, and business need.

We're committed to providing reasonable accommodations in accordance with the law for qualified applicants. If you require assistance during the interview process due to a medical condition or need support accessing our website or completing the application process, please reach out to us by completing the Accommodations Request Form. Your comfort and accessibility are important to us, and we're here to ensure a seamless experience as you explore opportunities with our team.

About the Role

We’re looking for a Junior Security Operations Engineer who is AI-Forward to help scale and modernize our SecOps program. This is a hands-on, builder role for someone who will design and ship the security tooling that powers our triage, investigations, and response workflows.

You’ll report to the Technical Operations Director and work alongside our GRC lead to improve our vulnerability intake, threat response, darkweb posture, and internal security tooling. A core part of this role is building AI-assisted security tooling: triage agents that pre-classify bug bounty reports, investigation copilots that pull context from logs and SIEM data, response workflows that draft remediation steps and track them to closure. You’ll spend as much time wiring up that tooling as you will reproducing vulnerabilities and working incidents.

This role suits someone who thrives in a lean, high-impact environment, has strong opinions on where humans add value versus where tooling should take over, and wants to shape how a modern security team operates.

What You’ll Do

Triage & Vulnerability Management

• Review incoming vulnerability reports from our bug bounty intake; reproduce and document valid issues for engineering teams.
• Build the tooling that improves signal-to-noise: automate duplicate detection, spam filtering, and abuse flagging so humans only touch what’s worth touching.
• Act on DAST findings: coordinate remediation, verify fixes, and re-test.
• Track remediation timelines for critical vulnerabilities and keep stakeholders honest on SLAs.

Threat Response & Monitoring

• Monitor and respond to EDR and cloud security alerts; investigate, contain, and document.
• Analyze darkweb findings and credential exposures; shape our darkweb monitoring practices and tooling over time.
• Improve detection coverage: tune noisy rules, close gaps, and enrich alerts with context so responders spend time on decisions, not data gathering.
• Help configure and tune DLP, SIEM, and AI security tooling.

Security Tooling (core to this role)

• Build AI-assisted triage tooling that pre-classifies bug bounty reports, flags duplicates, and routes real issues to the right engineering team with reproduction context attached.
• Build investigation tooling: LLM-backed copilots and Slack bots that pull alert context, correlate signals across sources, and surface what actually matters.
• Build response tooling: workflows that draft remediation steps, generate evidence artifacts, and track issues to closure across the teams that own them.
• Evaluate emerging AI security tooling and bring what’s genuinely useful into the stack; retire what isn’t.
• Apply a security-minded lens to our own AI usage: prompt injection, data exfiltration, model misuse, and the guardrails that go around them.

Compliance & Cross-Functional

• Support audit evidence collection for SOC 2, ISO 27001, and PCI DSS.
• Partner with ITOps to verify patches, endpoint coverage, and access hygiene.

You May Be a Good Fit If You Have

• Previous experience in a SecOps, Security Analyst, or Threat Response role.
• Proven ability to understand and reproduce technical vulnerabilities. You can read a bug report and tell whether it’s real.
• Experience with bug bounty triage (HackerOne, Bugcrowd, or similar).
• Hands-on exposure to SIEM, EDR, and DLP tools in production environments.
• A genuine, demonstrated interest in applying AI/LLMs to security work: side projects, internal tooling, prompt engineering, agent frameworks, anything that shows you’ve actually built with this stuff.
• Scripting and automation skills in Python, Bash, or similar. You reach for code before you reach for a checklist.
• Comfort working autonomously across time zones and asynchronously.
• Strong written communication. You can turn a messy investigation into a clear, defensible writeup.

Bonus Points For

• Experience building LLM agents, RAG pipelines, or Slack bots backed by OpenAI / Anthropic / open-source models.
• Detection engineering experience (Sigma rules, custom Falcon queries, Grafana/Loki dashboards).
• Cloud security depth in AWS or GCP (IAM, workload posture, cloud-native logging).
• Prior work in regulated environments (SOC 2, ISO 27001, PCI DSS) from the practitioner side.
• Exposure to AI/ML security concerns such as prompt injection, model evals, and data leakage through LLMs.
• Public contributions: blog posts, CVEs, open-source tools, CTF writeups.

Engagement & Logistics

• Full-time contract.
• Remote-first and async-friendly. We have hubs in San Francisco, Denver, Dublin, and Amsterdam. If you’re near one, we’d love to see you in the office regularly; if you’re elsewhere in the world, that works too.
• Potential to extend or convert based on fit.
• Reports to the Technical Operations Director; works closely with the GRC lead and IT Operations.

How We Work

We’re a lean, high-trust team. We value people who ship, who can operate independently, and who treat security as an engineering problem rather than a checklist. If you’re someone who sees a repetitive task and immediately thinks “this should be a script, or better yet, an agent,” you’ll fit in here.

To Apply

Tell us about a time you used AI, automation, or custom tooling to meaningfully change how a security workflow ran. What was manual before, what it looked like after, and what you learned. Links to code, writeups, or demos are welcome.

Gambling.com Group (Nasdaq: GAMB) is a multi-award winning provider of marketing and sports data services looking for exceptional talent interested in the fast-paced, high-growth online gambling industry. The company operates a portfolio of renowned websites and brands – including flagship site Gambling.com and sports betting site Bookies.com as well as iGaming-focused sites Casinos.com, BonusFinder.com and Freebets.com.

In addition to its marketing operations, Gambling.com Group provides sports data services through consumer subscription platforms like OddsJam and RotoWire, along with B2B services through OpticOdds. These offerings deliver real-time data, actionable insights, and technology driven tools to both consumers and enterprise partners.

As the first and only online gambling affiliate publicly traded in the U.S., Gambling.com Group has earned recognition as a leader in its field – most recently winning Affiliate of the Year at the 2025 EGR Operator Awards.

Are you ready to take the next step in your career?

Responsibilities:

• Build and own AI agents and automated workflows that serve product and marketing teams, designing, deploying, and iterating on them end to end. This is a builder role. Scoping for others to build is not the job.
• Work directly with product managers, engineers, and marketers to identify high-value automation opportunities and translate them into a live build, from problem definition through to deployment and post-launch iteration.
• Own the full agent development lifecycle: problem scoping, workflow brief, prompt architecture, tool integration, testing, deployment, and ongoing improvement. You are accountable for what your agents produce at scale.
• Build and maintain integrations between product systems, marketing platforms, CMS tools, CRMs, analytics stacks, and third-party APIs, keeping workflows connected, reliable, and resilient.
• Establish QA frameworks for all automated outputs. Define what good looks like, where human review is required, and build the processes that enforce those standards consistently after deployment.
• Treat deployed agents as live products. Monitor performance, catch drift or failure early, and fix issues without being asked. An underperforming agent that goes unreported is a failure of this role.
• Document automations and agent workflows clearly, written for non-engineers so that product and marketing teams can understand, modify, and extend them without engineering support every time.
• Evaluate and recommend tooling across the automation and AI stack, including Make, Zapier, n8n, Claude, and equivalents, bringing forward structured recommendations based on team needs and commercial context.

A note for applicants

A note for applicants: If your experience with AI is limited to using consumer tools, prompting chatbots, or working within workflows someone else built, this role is likely a step beyond where you are right now. We are looking for someone who has built agents, shipped them into a live environment, watched them fail, fixed them, and made them better. That experience is the baseline, not the ceiling.

Perks & Benefits

• Comprehensive private Healthcare Insurance
• Flexible work environment and home office available
• Home office allowance
• Gym & Leisure Allowance
• All the hardware and software you need to be successful
• Regular company events and social outings, activities, Spot Awards and a Monthly Social Club
• Access to courses for Personal and Career Development
• Company Paid Volunteer Day

Gambling.com Group (Nasdaq: GAMB) is a multi-award winning provider of marketing and sports data services looking for exceptional talent interested in the fast-paced, high-growth online gambling industry. The company operates a portfolio of renowned websites and brands – including flagship site Gambling.com and sports betting site Bookies.com as well as iGaming-focused sites Casinos.com, BonusFinder.com and Freebets.com.

In addition to its marketing operations, Gambling.com Group provides sports data services through consumer subscription platforms like OddsJam and RotoWire, along with B2B services through OpticOdds. These offerings deliver real-time data, actionable insights, and technology driven tools to both consumers and enterprise partners.

As the first and only online gambling affiliate publicly traded in the U.S., Gambling.com Group has earned recognition as a leader in its field – most recently winning Affiliate of the Year at the 2025 EGR Operator Awards.

Are you ready to take the next step in your career?

Functions and Scope

This is an AI engineering role embedded in a commercial function. The primary output of this role is agents and automated workflows — built, owned, and iterated on by you. Commercial knowledge informs what gets built. The building is the job.

Commercial Operations & Optimisation

• Support the commercial function in commercially optimising vertical site performance to drive revenue across all channels — doing so primarily by identifying where AI agents and automated workflows can replace or accelerate manual commercial processes, and then building them.
• Act as the primary operational owner of commercial operational processes across all verticals,which in practice means owning the AI and automation layer that powers those processes, not just the processes themselves.
• Conduct ongoing competitor analysis, develop new commercial process and agentic workflow ideas, and collaborate with product and marketing teams to drive operational improvements,using AI tooling to run analysis at scale, generate workflow concepts, and prototype solutions faster than traditional approaches allow.
• Collaborate with commercial leadership to set, manage, and monitor BAU processes, KPIs, and OKRs across the commercial operations function,building AI-assisted reporting and monitoring infrastructure so that performance visibility is automated, not manual.
• Leverage AI to enhance internal software and tooling to build effective, transparent internal processes across commercial operations,this is not a peripheral responsibility, it is the core mechanism through which this role delivers value. You are expected to be actively building, not just recommending.

Workflow Architecture & Process Design

• Identify inefficiencies and bottlenecks across commercial operations and design structured solutions,your default answer to an inefficiency is an agent or an automated workflow, with manual process redesign as the fallback where automation is not yet viable.
• Own the design and deployment of operational workflows that reduce manual effort and improve output quality and consistency across the commercial team ,from initial architecture through to live deployment, with measurable reduction in human effort as the success metric.
• Develop and maintain playbooks and performance standards for all commercial workflows, including documentation of how each AI agent or automated workflow is expected to behave, what good output looks like, and where human review is required.
• Coordinate with sales and commercial leadership on operational prioritisation and workflow sequencing,translating commercial priorities into a build roadmap for agents and automations, and managing that roadmap actively.

Agent & Automation Development

This is the core of the role. You will be building AI agents. Not scoping them for others to build, not advising on them, not reviewing them after the fact — designing, building, deploying, and iterating on them yourself, end to end. If you have not built and shipped an AI agent in a professional context, this role is not the right fit.

• Lead the identification and scoping of agentic automation opportunities across commercial operations,this means proactively finding problems worth solving with AI, not waiting to be briefed. You are expected to surface opportunities, make the case for them, and own the build.
• Own and build the full development lifecycle for commercial agents across all commercial operations,from problem definition and workflow brief through to prompt architecture, tool integration, testing, deployment, and post-launch iteration. You are the builder, not the commissioner.
• Ensure quality, accuracy, and commercial alignment of all automated outputs, establishing QA standards and performance benchmarks for every agent you deploy, and holding yourself accountable for what those agents produce at scale.
• Iterate on agent performance post-deployment based on commercial data, stakeholder feedback, and operational signals,treating deployed agents as live products that require ongoing maintenance and improvement, not finished projects.

Quality Assurance & Reporting

• Establish and oversee QA processes across all commercial operations workflows,including designing the human review layer that sits alongside AI-driven outputs, defining what requires sign-off before going live, and building the infrastructure to enforce that consistently.
• Generate, analyse, and present operational KPI reports to senior stakeholders,using AI-assisted tooling to automate data aggregation and surface anomalies, so that your contribution at the reporting layer is insight and recommendation, not manual data pulling.
• Monitor workflow and agent performance, surfacing actionable recommendations to commercial leadership on a regular basis, including honest assessment of where agents are underperforming, where outputs are drifting from expected standards, and what needs to be rebuilt or retired.
• Operate as the internal expert on AI-enabled tools including Claude, Lovable, and others,not as a power user, but as the person who understands these platforms deeply enough to build production-grade commercial workflows on top of them, apply rigorous judgement to their outputs, and teach others how to work alongside them effectively.

Key requirements

Essential experience

• Experience in a commercial operations, revenue operations, or similar ops role,ideally within a digital media, affiliate, or multi-vertical online business
• You have built AI agents and shipped them into a live production environment,this is the baseline requirement for this role, not an aspiration. If your experience is limited to using AI tools, prompting chatbots, or working within workflows someone else built, this role is likely beyond where you are right now
• Demonstrable, end-to-end ownership of the agent development lifecycle, from identifying the commercial problem, writing the workflow brief, designing the prompt architecture, integrating tools, testing, deploying, and iterating post-launch. You were the builder, not the person who commissioned or reviewed someone else's build
• Experience with AI platforms and tools such as Claude, Lovable, n8n, or equivalent, with specific, named examples of what you built on them, what it did, and how you measured whether it was working
• Track record of designing and documenting operational processes, playbooks, and performance standards,including documentation of how agents are expected to behave, what good output looks like, and where human review is required
• Experience establishing QA frameworks for AI-generated or automated outputs, setting performance benchmarks, monitoring for drift or failure, and iterating on agent behaviour based on real-world results
• Comfortable owning and reporting on KPIs and OKRs, with experience building automated reporting infrastructure rather than pulling data manually

You must be able to demonstrate, with specific examples, that you have:

• Built and deployed at least one AI agent in a professional context and can walk through exactly what it did, how you built it, where it failed, and what you did to fix it
• Designed prompt architecture for a production workflow,not just written prompts, but structured them as part of a repeatable, scalable agent build
• Integrated AI agents with external tools, platforms, or data sources as part of a live commercial or operational workflow
• Identified a commercial or operational problem, translated it into an agent build brief, built the solution yourself, and measured the outcome
• Established and enforced QA standards for automated outputs, including defining what human review is required and building the process to ensure it happens consistently
• Iterated on a deployed agent based on performance data or stakeholder feedback, treating it as a live product, not a finished project

Candidates who cannot provide concrete, specific examples of building and shipping agents will not progress past the application stage. This is a builder role,your portfolio of what you have built is the application.

Skills & capabilities

• Prompt architecture and agent design,able to structure AI instructions for production-grade reliability, not just one-off outputs
• Tool integration,comfortable connecting AI agents to external platforms, APIs, data sources, and internal tooling as part of a live workflow build
• Commercial judgement,able to prioritise build decisions based on revenue impact and business context, identifying which automation opportunities are worth the investment
• Process design instinct,able to map a commercial problem, identify the automation opportunity within it, and design a structured agent-based solution
• Strong cross-functional communication,able to translate between commercial stakeholders who define the problem and technical counterparts who support the infrastructure
• Rigorous approach to AI output review ,understanding that what an agent produces at scale is your responsibility, and building QA into every deployment accordingly

Behaviours we're looking for

• You have shipped things,your instinct is to build a working version, get it into a live environment, and improve it from there rather than designing indefinitely
• You treat deployed agents as live products,you monitor them, catch when they drift, and fix them without being asked
• You apply structured commercial thinking to what you build,you're not building for technical elegance, you're building to remove manual effort and drive revenue outcomes
• You are honest about the limits of what you've built,you know where your agents are reliable and where they require human oversight, and you design for that honestly
• You communicate proactively with commercial leadership when something isn't working, an underperforming agent that goes unreported is a failure of this role, not just a technical issue

Nice to have

• Experience in the affiliate, igaming, media, or performance marketing sectors
• Familiarity with competitor analysis methodologies in a commercial context
• Exposure to product or engineering teams in a workflow or tooling capacity
• Experience building agents that operate across multiple tools or platforms simultaneously,multi-step, multi-tool agent architectures rather than single-task automations

A note for applicants: If your experience with AI is limited to using consumer tools, prompting chatbots, or working within workflows someone else built, this role is likely a step beyond where you are right now. We are looking for someone who has built agents, shipped them into a live environment, watched them fail, fixed them, and made them better. That experience is the baseline, not the ceiling

Perks & Benefits

• Comprehensive private Healthcare Insurance
• Flexible work environment and home office available
• Home office allowance
• Gym & Leisure Allowance
• All the hardware and software you need to be successful
• Regular company events and social outings, activities, Spot Awards and a Monthly Social Club
• Access to courses for Personal and Career Development
• Company Paid Volunteer Day

What’s the opportunity?

Intercom is the AI Customer Agent company. Our AI agent, Fin, is transforming customer experience for businesses, and we believe that the same AI transformation should power our R&D organization.

At Intercom, shipping is our heartbeat. We are hiring a Senior Engineer for Builder Tools: the AI Developer Experience Enablement team. This is the team that makes shipping delightful, fast, and low-toil for hundreds of engineers and agents.

Your mission is to help turn Intercom’s entire R&D organization into an AI-first engineering machine. We’ve made incredible progress, 90%+ of our code is already written by Claude, but that volume creates entirely new scaling and orchestration challenges. You will work across our codebases, developer environments, and internal tooling to make AI a trustworthy, everyday accelerant.

You will ship tangible solutions every day that work, prove their value, and scale. You’ll focus on developer enablement: operationalizing AI for real-world engineering effectiveness and eliminating drag so all of R&D can do their best work.

Learn how we ship 250 versions of Intercom per day, discover our engineering culture at intercom.engineering, and explore our engineering values.

What you’ll do?

• Build AI-driven automation agents that remove routine work with human-in-the-loop review, prioritize impact, prototype fast, and iterate until the automation transforms engineering.
• Make AI-assisted workflows the default in our developer environments: ship integrations, preconfigured workspaces, and developer agents that engineers want to use.
• Improve our codebases for AI: refactor, document, and introduce standards so agents and code suggestions are more accurate and reliable. Partner with repo owners to trial changes and measure outcomes.
• Instrument and measure everything: define success metrics, track adoption and impact, and use telemetry to guide improvements.
• Balance practicality and safety: design systems that consider cost, observability, privacy, and guardrails so AI features are dependable and trustworthy.
• Evangelise and enable adoption: work with engineering leads and internal champions, create playbooks and demos, and help teams get real benefit from the tooling.
• Ship production-grade services: own design, implementation, tests, and operational runbooks and agent skills.

What skills do I need?

We don’t expect perfection. If you have most of this and you’re excited, we want to hear from you. We can shape the position for the right person.

• Multiple years building and supporting high-performing systems, ideally in a SaaS, platform, or internal tooling context. You've introduced new tools or workflows that actually got adopted and made a difference.
• Practical AI toolchain experience: hands-on with LLMs, agents or code-assistants, model APIs, or prompt engineering. Demonstrated strong curiosity and a track record of learning these quickly.
• Deep knowledge of at least one major programming language (Ruby, Python, JavaScript, etc.). Experience restructuring, documenting, and modernizing large codebases is a massive plus.
• Developer experience obsession: you think in terms of developer time saved, reliable defaults, and usable workflows. You’ve shipped CI/CD, dev environment automation, code-quality tools, or similar.
• You align stakeholders, share best practices, make engineering trade-offs visible, and listen to your internal customers before acting.
• Bias to action and pragmatism: you iterate fast, unblock yourself and others, and stop or pivot when things do not deliver value.

Why join us?

You’ll be at the heart of Intercom’s shift to AI-first engineering. We’re giving engineers superpowers, shipping solutions that get real traction, and building a foundation for world-class developer productivity. You’ll work alongside kind, driven colleagues and have the autonomy to make a company-wide impact.

Benefits

About the Role

We're looking for a curious, technically-minded problem solver — not someone to just close tickets.

You'll troubleshoot complex customer issues across voice, messaging, APIs, IoT, and AI products, digging into networking problems, debugging integrations, and analysing logs alongside engineering teams. But this role goes further: we're building an AI-first support model, and as you develop product expertise, you'll help shape it — building bots, automating workflows, and turning repetitive tasks into cron jobs. If you've ever spotted a repetitive task and actually built the fix for it, you'll fit right in. A background in software engineering, networking, or a related technical field (however you got there) is ideal — We care about what you can do, not where you learned it.

What You'll Do

• Troubleshoot: complex customer issues across networking, APIs, and communications products
• Investigate: using tools like Postman, cURL, Wireshark, Linux terminal and our internal tooling
• Collaborate: with customers, vendors, and engineering teams to resolve cases
• Automate: contribute to bot-building and workflow automation
• Document: solutions and improve self-service resources
• Learn: VoIP protocols, internal systems, and new technologies as the role evolves

Your Toolkit

• Troubleshooting: Postman, cURL, Wireshark, sngrep, Linux terminal
• Ticketing and Comms: Zendesk, Slack
• Collaboration: Google Workspace (Gmail, Calendar, Docs, Sheets, Meet)
• Automation: n8n, Zapier, OpenClaw (internal AI platform), scripting (Python, Bash, etc.)
• Version Control: GitHub
• Analytics: Metabase, Graylog, Jira

What We're Looking For

Must-Have

• Background in Computer Science, IT, networking, or equivalent hands-on experience
• Networking fundamentals: solid understanding of how the internet works, including DNS, routing, IP addressing, and HTTP/HTTPS
• API experience: comfortable with REST APIs, webhooks, and tools like Postman or cURL
• Linux terminal proficiency: comfortable navigating filesystems, reading logs, and running commands
• Problem-solving mindset: you dig into issues, ask good questions, and don't give up easily
• Communication skills: you'll need to be highly proficient in English, both written and verbal - owning customer communication and technical documentation from day one

Nice-to-Have

• Familiarity with scripting or programming (Python, Bash, JavaScript, or similar)
• Understanding of AI concepts such as RAG, MCPs, embeddings, and prompt engineering
• Experience using n8n, Zapier, Git/GitHub, or similar

You don’t need to tick every box -  if you’re keen to learn that's the box that matters most ! 

This role operates on Central Time (UTC-6), 9am–6pm Monday to Friday

Technical Lead - DevOps (Perm, Ireland, Remote)

This is a permanent full-time remote opportunity for those based in Ireland.

About Nearform

Nearform is an independent team of data & AI experts, engineers, and designers who build intelligent digital solutions and capability at pace. We create AI-enabled solutions that enhance digital experiences, empower developers, and deliver measurable results. In these ways, we partner with ambitious enterprises to deliver enduring impact.

Our deep expertise in solving the world’s most complex digital problems, along with our collaborative, people-first approach, enables enterprises to build breakthrough products and modernise legacy systems by unleashing the power of AI.

Today, our team of 500 experts in 20+ countries is trusted by leading enterprises including Lululemon, Puma, Sun Life, Starbucks, Travelex, Virgin Media 02, and Walmart.  

As part of our Engineering function, you will work closely with clients to translate complex business requirements into innovative digital products. 

Whether you are a Senior Engineer, Tech Lead, or DevOps Engineer, you will collaborate with distributed teams, leveraging cutting-edge technologies to build secure, high-performance applications. Our Nearform engineers are known for building high quality, scalable solutions that solve real world problems.

About the Technical Lead Role:

As a Technical Lead at Nearform, you will be responsible for leading and guiding engineering teams while working directly with clients to translate business and technical requirements into impactful applications. However, as you’ll likely work on a variety of projects in your time here, your responsibilities may also include:

• Provide technical and line-management leadership to your development team.
• Take responsibility for the successful delivery of projects.
• Identify and resolve blockers before they become issues.
• Ensure best practices in DevOps, software development and agile methodologies are upheld within the team.
• Work directly with clients, translating requirements into technical briefs.
• Shape and define architectural decisions ensuring scalability, security, and maintainability.
• Provide updates to client and Nearform leadership to ensure clear understanding of project status and drive good decision-making.

What we are looking for in this person:

• Significant experience leading projects and mentoring as a Technical Lead. 
• Experience working directly with clients or customers to understand technical requirements.
• Working knowledge of cloud deployment models  
• Familiarity with security frameworks (e.g., NIST, OWASP, PCI DSS) and risk management methodologies 
• Strong technical knowledge and understanding of web application security, in particular DevOps and SDLC  
• Strong programming skills in Python 
• Expertise with SQL databases, particularly PostgreSQL or cloud equivalent such as Amazon RDS 
• Experience utilizing LLMs and prompt engineering 
• Experience with CI/CD pipeline setup and management 
• Familiarity in using AWS cloud platform for deploying and managing applications, particularly AWS ECS 
• Familiarity with GitHub for version control and code collaboration. 
• Knowledge of containerisation
• Deep understanding of agile ways of working, best practices and design patterns.
• Deep understanding of version control tools, e.g. Git.
• Understanding of DevOps practices and cloud technologies (AWS, Azure, GCP)
• Understanding of operational concerns (such as monitoring, performance testing, security considerations, accessibility, GDPR)

Benefits & Perks

• Annual Company Bonus - We all help Nearform to hit company goals so we all receive a share of the profits on an annual basis in line with company performance.
• Work Remotely and Flexibly - We have a genuine dedication to work/life balance. Our flexible working culture allows you to work around what matters - school run, no problem!
• Paid Time Off Package - We offer an annual leave of 24 days plus public holidays. We also offer sick leave, marriage leave and many more.
• Remote Working Allowance - Every 2 years, you will have a budget of up to €1250 to help you set up a comfortable and productive workspace in addition to your essential equipment provided by Nearform when you join.
• Training and Development Allowance - We understand the importance of continuously learning so we offer an allowance of up to €1000 you can use to upskill yourself.
• Healthcare - It’s important to always take care of your health, so we offer additional private healthcare here at Nearform. If you wish to learn more about the plan offered feel free to reach out to our team.
• Pension & Insurances - We offer a pension match of up to 5% and Income Protection and Death in Service for peace of mind.

Our Interview Process

Talent Call (30 mins via Zoom)
An initial conversation with a member of our Talent Team to explore your background, leadership experience, and career goals. We’ll provide an overview of Nearform, discuss potential alignment, and answer any questions you may have. This step helps us assess initial alignment.

Technical Lead Assessment (90 mins, Zoom)
A structured assessment led by a senior Technical Lead or Head of Engineering, designed to evaluate key aspects of a Technical Lead role. This session includes a selection of tasks to cover:

Architecture Design – We want to see how you approach a high level problem, demonstrating your design thinking and decision-making process.
Technical Implementation – How do you turn a design into reality, taking into account business needs?
Code Standards and Feedback – We want to see not just your own skills, but also how you improve those around you

Panel Interview (60 mins via Zoom)
A conversation with two Hiring Managers focused on your approach to teamwork, client collaboration, and problem-solving in an enterprise development setting. We'll also share more details about Nearform and the potential projects you may join.

There may also be an additional interview with the client depending on the project. 

Ready to Join Us?

If you're passionate about building high-quality applications, solving complex challenges, and driving innovation in enterprise development, we’d love to hear from you.

Apply now via our careers page at Nearform and be part of a team that values technical excellence, collaboration, and continuous learning.

Nearform is committed to shaping a better world in all that we do. Our global team is built based on respect, inclusivity, diversity and excellence. 

If you require any adjustments to the interview process as part of your application, please let someone from our Talent Team know so they can help.  

About the Team

The Platform & Security team ensures Typeform engineers can build, deploy, and operate services safely and efficiently.

As we scale into AI-powered products, our engineering velocity has increased significantly. New workloads—such as model-serving, agent-based systems, and real-time data pipelines—introduce security challenges that our current team does not yet have the bandwidth or AI-specific expertise to manage.

You’ll join as a DevSecOps Engineer to embed security into the development lifecycle, enable high-velocity feature delivery, and ensure that new AI capabilities are safe, compliant, and resilient. This role is an opportunity to make a tangible impact on the security posture of Typeform as we scale.

Things you will do:

• Embed security into the SDLC: Partner with engineering and AI teams to ensure features are delivered safely at high velocity.
• Develop security automation: Build and maintain CI/CD security tooling and processes (SAST/DAST, secrets management, artifact scanning).
• Assess and mitigate risks: Conduct vulnerability assessments, threat modeling, and code reviews for platform and AI workloads.
• Advise on architecture: Recommend secure patterns for infrastructure, agent systems, and model-serving pipelines.
• Implement monitoring & incident response: Ensure timely detection and automated response to security alerts.
• Define best practices: Create and maintain standards, policies, and reusable security infrastructure components.
• Collaborate effectively: Influence teams to adopt security practices without slowing development, and act as the internal advocate for security.

What you already bring to the table:

• Several years of experience in DevSecOps, security engineering, or cloud security.
• Strong understanding of distributed systems, cloud-native infrastructure, and CI/CD pipelines.
• Knowledge of threat modeling, vulnerability assessment, and incident response.
• Experience with or strong willingness to learn AI/ML security, model-serving pipelines, or agent-based systems.
• Familiarity with IaC, Kubernetes, and cloud platforms (AWS, GCP, Azure).
• Excellent collaboration and communication skills to explain complex security concepts to non-security teams.

Extra awesome:

• Hands-on experience with AI security, model risk, or prompt injection mitigation.
• Experience in high-velocity SaaS or PLG environments.
• Contributions to open-source security tooling or frameworks.
• Implementing automated security testing in CI/CD pipelines for both code and infrastructure.