Overview

We are seeking a Principal Kubernetes Architect to serve as a senior technical authority for the design, evolution, and operation of InterSystems Kubernetes based cloud platforms. This role is responsible for defining reference architectures, establishing engineering standards, and solving the most complex platform challenges across hybrid and multi cloud environments.

As a Principal Architect, you will operate at both a strategic and hands on level. You will design large scale Kubernetes platforms, influence cloud and platform strategy, and mentor engineers across DevOps, Site Reliability Engineering, and platform teams. You will play a critical role in enabling secure, resilient, and highly automated Kubernetes environments that power mission critical managed services and SaaS offerings.

This role is intended for a deeply experienced Kubernetes and cloud professional who has designed, built, and operated production platforms at scale and who acts as a technical leader across organizations.

Key Responsibilities

Platform Architecture and Technical Leadership

• Act as a senior technical authority for Kubernetes architecture across managed services and SaaS platforms
• Define and maintain reference architectures and design patterns for Kubernetes platforms across on premises, private cloud, and public cloud environments
• Lead architectural reviews and provide guidance on cluster design, networking, security, scaling, and multi region strategies
• Influence long term platform strategy, tooling selection, and architectural direction in partnership with platform and cloud leadership

Kubernetes Platform Engineering

• Design, build, and evolve Kubernetes clusters using platforms such as EKS, AKS, GKE, Rancher, or equivalent enterprise distributions
• Establish best practices for cluster lifecycle management, upgrades, multi tenancy, and workload isolation
• Architect and implement advanced Kubernetes networking models including CNI plugins, ingress controllers, and network policies
• Design secure RBAC models, secrets management approaches, and workload isolation aligned with enterprise security requirements
• Ensure platform changes are engineered, tested, versioned, and rolled out with the same rigor as application software

Infrastructure as Code & Automation

• Define and enforce Infrastructure as Code standards using Terraform, Helm, and GitOps based workflows
• Design reusable and composable infrastructure modules to enable consistent and repeatable platform deployments
• Drive automation first approaches to cluster provisioning, configuration, and lifecycle management #
• Ensure platform changes are versioned, tested, and delivered through controlled CI and CD pipelines

Reliability, Observability & Operations

• Architect observability solutions for Kubernetes platforms using Prometheus, Grafana, Loki, Fluentd or Fluent Bit and related tooling
• Define strategies for monitoring, alerting, capacity planning, and performance optimization
• Lead troubleshooting of complex platform incidents involving cluster degradation, networking issues, or systemic failures
• Partner with Site Reliability Engineering teams to establish service level objectives, error budgets, and reliability engineering practices

Cloud, Hybrid & Data Protection

• Design Kubernetes solutions that operate consistently across public cloud and on premises environments
• Architect backup, restore, and disaster recovery strategies using tools such as Velero, Kasten, or Stash
• Address cloud specific constraints related to identity, networking, storage, and cost optimization

Mentorship & Cross Team Influence

• Mentor senior engineers and architects across platform, DevOps, and Site Reliability Engineering teams
• Act as a trusted advisor to application teams on cloud native and containerization strategies
• Contribute to technical standards, documentation, and internal enablement
• Represent platform architecture in cross functional design reviews and technical forums

Qualifications & Experience Required

• Ten to fifteen or more years of experience in infrastructure, cloud, platform engineering or Site Reliability Engineering roles with deep Kubernetes specialization
• Proven experience architecting and operating large scale Kubernetes platforms in production environments supporting mission critical workloads
• Strong hands on experience with AWS, Azure, and or Google Cloud Platform including networking, identity, and storage services
• Expert level knowledge of Kubernetes internals, scheduling, networking, security, and storage
• Deep experience with Infrastructure as Code and automation using Terraform, Helm, GitOps, and CI and CD systems
• Strong Linux and container runtime expertise
• Demonstrated ability to solve complex technical problems and influence architectural decisions across teams

Preferred Certifications

• Certified Kubernetes Administrator
• Certified Kubernetes Security Specialist
• Certified Kubernetes Application Developer
• AWS Certified DevOps Engineer Professional
• Google Professional Cloud DevOps Engineer
• HashiCorp Certified Terraform Associate
• Linux Foundation Certified System Administrator

Nice to Have Certifications

• Experience with GitOps tooling such as Argo CD or Flux
• Experience with service mesh technologies such as Istio, Linkerd, or Cilium
• Experience with Spectro Cloud or enterprise Kubernetes management platforms
• Open source contributions to Kubernetes or cloud native projects
• Experience supporting regulated or compliance driven environments
• Familiarity with emerging container platforms such as Incus

Role Overview

The Global Delivery Leader will own the strategy, architecture, and global execution of InterSystems’ cloud-native Service Delivery Platform. This platform—built on Kubernetes and Spectro Cloud—underpins all SaaS and Managed Services delivery for InterSystems IRIS and the broader portfolio across private datacenters and public cloud providers. 

This role is accountable for leading globally distributed engineering and operations teams that design, build, and run a highly available, secure, and scalable platform spanning InterSystems datacenters, AWS, Azure, and GCP. The Director will be responsible not only for operational excellence, but also for the cloud architecture, automation frameworks and software-driven operational model required to deliver IRIS as a truly global, cloud-native managed service. 

Key Responsibilities 

Platform Ownership & Cloud Architecture 

• Own the end-to-end architecture and global operation of the InterSystems Service Delivery Platform, spanning Spectro Cloud, Kubernetes, Cilium, Helm, and multi-cloud infrastructure services. 
• Define and evolve a cloud-first reference architecture supporting consistent, secure, and resilient service delivery across InterSystems datacenters and public cloud regions. 
• Act as the senior technical authority for Kubernetes platform strategy, multi-cloud design, and runtime operational patterns. 

Engineering-Led Operations & Automation 

• Drive a platform engineering and SRE operating model, where infrastructure and operations are delivered through software, automation, and repeatable pipelines. 
• Establish Infrastructure as Code (IaC) standards and practices using Terraform, Helm, and GitOps-based workflows to ensure deterministic, auditable platform deployments. 
• Partner with Product Engineering and Cloud Engineering to define CI/CD pipelines, deployment automation, and lifecycle management for IRIS and supporting services. 
• Ensure platform changes are engineered, tested, versioned, and rolled out with the same rigor as application software. 

Reliability, Scale & Observability 

• Define and enforce service-level objectives (SLOs), error budgets, and operational KPIs across regions and clouds. 
• Lead the evolution of observability and telemetry using Coralogix and complementary tooling to enable full-stack visibility, proactive detection, and automated remediation. 
• Establish mature incident response, problem management, and continuous improvement processes aligned with SRE best practices. 

Security, Compliance & Risk 

• Partner with Global Security, Compliance, and Risk teams to ensure platform architecture and operations meet regulatory, data protection, and access control requirements. 
• Ensure security is embedded by design across Kubernetes, cloud infrastructure, CI/CD pipelines, and operational tooling. 

Financial Stewardship & Growth Enablement 

• Own capacity planning, scaling strategies, and cross-cloud cost management, balancing reliability, performance, and financial efficiency. 
• Enable rapid global growth of Managed Services and SaaS offerings through standardized, scalable platform capabilities. 

Leadership & Organizational Development 

• Lead and grow a globally distributed organization of platform engineers, SREs, and operations leaders. 
• Build a culture of accountability, technical excellence, and continuous learning. 
• Serve as a senior leader within Managed Services, influencing cross-functional strategy and representing platform operations at the executive level. 

Qualifications & Experience Required

• 15+ years of experience in cloud infrastructure, platform engineering, SRE, or large-scale distributed systems, including senior leadership roles with global scope. 
• Proven success designing and operating Kubernetes-based platforms at enterprise or SaaS scale, supporting mission-critical customer workloads. 
• Deep hands-on experience with AWS, Azure, and/or GCP, including networking, compute, storage, identity, and security architectures. 
• Strong background in Infrastructure as Code and automation, with practical experience using Terraform, Helm, GitOps, and CI/CD platforms. 
• Demonstrated ability to lead organizations that build software to operate infrastructure (platform engineering mindset). 
• Experience with observability ecosystems such as Coralogix, Datadog, Prometheus, Grafana, or equivalent. 
• Strong understanding of high availability, disaster recovery, multi-region design, and data platform operations. 
• Track record of leading large, globally distributed teams and driving operational transformation. 
• Exceptional communication and executive presence, with the ability to influence across engineering, product, security, and leadership teams. 
• Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience. 

The database market is massive and MongoDB is at the forefront of its disruption. At MongoDB, we are transforming how developers build and run applications. Our distributed systems power mission-critical services used by thousands of customers around the globe.

We are looking for a Software Engineer to join the Cloud Core Alerts Platform team, building scalable, fault-tolerant, and highly available systems that process millions of events and alerts in real time.

We are looking to speak to candidates who are based in Dublin for our hybrid working model.

Our domain includes

• Alert Streaming Systems: Real-time alerting pipelines using Apache Flink and Amazon Kinesis, delivering critical insights for MongoDB Atlas customers
• Event Systems: SOA-based event platforms leveraging gRPC and streaming architectures to power the MongoDB activity feed at scale
• Communication Systems: Distributed services to deliver alert notifications through multiple channels (email, SMS, Slack, PagerDuty) with reliability and resilience
• Third-Party Integrations: Securely managing customer credentials and integrating with external observability providers, ensuring encryption at rest and in transit
• Cross-team Collaboration: Partnering with the broader Customer Observability teams to provide unified telemetry and monitoring experiences

What you’ll do

• Design and build distributed systems that process millions of events per second with high availability and low latency
• Lead end-to-end projects from design to production, ensuring scalability, observability, and operational excellence
• Evolve our streaming alerting and eventing platforms, improving reliability, throughput, and developer experience
• Collaborate with cross-functional teams to integrate alerting, event, and communication services into the broader customer observability ecosystem
• Develop secure, multi-tenant integrations with third-party providers, handling sensitive customer credentials safely
• Champion best practices in distributed systems design, including resilience, scalability, and fault tolerance
• Mentor and guide other engineers, sharing expertise on distributed architectures and streaming technologies

Who you are

• Familiar in distributed systems, with at least 2+ years of backend engineering experience (Java, Go, or similar)
• Familiar with service-oriented architectures (SOA) and inter-service communication using gRPC or REST
• Good understanding of AWS (or other hyperscalers), cloud networking, and infrastructure-as-code patterns
• Comfortable working in high-scale environments with millions of events and alerts per day
• A strong communicator, collaborator, and a problem solver

Technologies we use

• Languages & Frameworks: Java
• Streaming & Messaging: Apache Flink, Amazon Kinesis, Kafka
• Service Frameworks: gRPC, Protobuf, REST
• Datastores: MongoDB, S3
• Cloud & Infrastructure: AWS, Kubernetes, Terraform

Why Join Us

• Work on scalable distributed systems that directly impact thousands of global customers
• Be part of a team modernizing and evolving core observability services for MongoDB Atlas
• Collaborate with world-class engineers and leaders driving innovation in real-time alerting and event processing
• Enjoy a supportive, inclusive, and growth-oriented culture

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 1273394177

The MongoDB Database Experience team is a diverse group of contributors working together to help our users manage MongoDB at global scale. This includes building tools for MongoDB Atlas: our database as a service offering and fastest growing product which allows users to deploy fault-tolerant, globally distributed MongoDB clusters in just minutes.

We're seeking a Senior Software Engineer to join our Developer Tools Team within the Database Experience department. The team is responsible for tools which allow users to interact with their data and to understand the health and performance of their MongoDB deployments. The Developer Tools Team works on a variety of APIs and customer-facing UIs empowering MongoDB users to interact with their stored data, whether that’s on desktop via MongoDB Compass or in the browser via Atlas Data Explorer.

This position requires participation in a 24/7 on-call rotation to ensure business continuity and incident response capabilities.

This role can be based out of our Dublin office or remotely in Ireland

We're looking for someone who

• Has  2+ years of engineering experience working with backend systems (Java, C#, Go, Node.js, etc.)
• Is a backend engineer with a willingness to take on frontend tasks or a full-stack developer with a bias towards backend
• Has experience with the design and architecture of a modern, scalable, high availability web application
• Has experience working with databases
• Enjoys collaboration and being part of a team
• Is approachable, curious, and intellectually honest
• Would enjoy chasing down difficult problems in a distributed environment
• Always strives to expand their knowledge

Nice to Haves

• Knowledge of database internals and tuning mechanisms, particularly indexing
• Previous work in TypeScript, React, and Node.js, particularly maintaining an ecosystem of dependencies
• Experience working with websocket based client to server communication
• Familiarity with developing and supporting microservice based architectures using Kubernetes

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 1273396819

The MongoDB Database Experience team is a diverse group of contributors working together to help our users manage MongoDB at global scale. This includes building tools for MongoDB Atlas: our database as a service offering and fastest growing product which allows users to deploy fault-tolerant, globally distributed MongoDB clusters in just minutes.

We're seeking a Senior Software Engineer to join our Developer Tools Team within the Database Experience department. The team is responsible for tools which allow users to interact with their data and to understand the health and performance of their MongoDB deployments. The Developer Tools Team works on a variety of APIs and customer-facing UIs empowering MongoDB users to interact with their stored data, whether that’s on desktop via MongoDB Compass or in the browser via Atlas Data Explorer.

This position requires participation in a 24/7 on-call rotation to ensure business continuity and incident response capabilities.

This role can be based out of our Dublin office or remotely in Ireland

We're looking for someone who

• Has  2+ years of engineering experience working with backend systems (Java, C#, Go, Node.js, etc.)
• Is a backend engineer with a willingness to take on frontend tasks or a full-stack developer with a bias towards backend
• Has experience with the design and architecture of a modern, scalable, high availability web application
• Has experience working with databases
• Enjoys collaboration and being part of a team
• Is approachable, curious, and intellectually honest
• Would enjoy chasing down difficult problems in a distributed environment
• Always strives to expand their knowledge

Nice to Haves

• Knowledge of database internals and tuning mechanisms, particularly indexing
• Previous work in TypeScript, React, and Node.js, particularly maintaining an ecosystem of dependencies
• Experience working with websocket based client to server communication
• Familiarity with developing and supporting microservice based architectures using Kubernetes

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 1273396819

The worldwide data management software market is massive (According to IDC, the worldwide database software market, which it refers to as the database management systems software market, was forecasted to be approximately $82 billion in 2023 growing to approximately $137 billion in 2027. This represents a 14% compound annual growth rate). At MongoDB we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading developer data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity.

MongoDB Atlas is the premier multi-cloud database-as-a-service built and operated by the makers of MongoDB. The Cloud Operations Engineering team at MongoDB is a worldwide team responsible for the consistent operational success of every MongoDB Atlas customer. As a Cloud Operations Engineer, you will help ensure the success of our Atlas customers, whether they are early startups or large multinational companies, cloud-native or just getting started with a digital transformation to the cloud. You are excited about the core mission of MongoDB, and the opportunity to join the team responsible for operating Atlas, the fastest-growing multi-cloud database-as-a-service in the world. You are prepared to be one of the early members of a 24/7/365 global cloud operations team.

Cloud Operations Engineers will be responsible for day-to-day duties such as creating and monitoring system’s alert dashboards, reviewing critical events and system logs, accessing customer instances that underpin their production databases and performing server administration duties including performance troubleshooting. Applicants must be critical thinkers who are quick to detect, resolve, or escalate issues that are sometimes broad in scope and difficult to trace.

At MongoDB you will grow your career and skills, wear multiple hats, and be part of an operations team that works at the frontier of Cloud services and database systems.

We are looking to speak to candidates who are interested in working out of our Dublin office under our in-office working model Monday to Friday.

Due to the 24/7 nature of our support organization, certain events throughout the year will require volunteering for coverage outside one’s normal work days or work hours (i.e. regional offsites, regional holidays, etc). These are typically announced weeks in advance with a sign-up system that considers equitability.

Responsibilities

• Successfully coordinate and collaborate with a global team of Cloud Operations Engineers who are tasked with ensuring our uptime guarantees to our Atlas customer base
• Help scale the worldwide Cloud Operations Engineering team with the strategic implementation and refinement of new processes and tools
• Assist in scoping, designing and deploying systems that reduce Mean Time to Resolve for customer incidents
• Monitor and detect emerging customer-facing incidents on the Atlas platform; assist in their proactive resolution
• Automate routine monitoring and troubleshooting tasks
• Diagnose live incidents, differentiate between platform issues versus usage issues, and take the next steps toward resolution
• Assist in performing root cause analysis after incident recovered; identifying any breakdowns in processes or workflows that contributed to the event and what changes need to be made to prevent similar events
• Contribute to documentation of corner case scenarios, troubleshooting workflows and SOPs.
• Work alongside our product management, cloud engineering and support organizations by identifying areas for improvement in the management applications powering the Atlas infrastructure
• Inform executive leadership and escalation management personnel of major outages
• Coordinate and participate in a weekly on-call rotation, where you will handle short term customer incidents (proactively from automated monitoring or through reactive alerts via our Technical Services team)

Requirements

• Experience with being an on call DevOps, SRE, or Cloud Operations engineer (at least 2 years)
• Expertise with Linux system administration, configuration, troubleshooting
• Experience in monitoring, system performance data collection and analysis, and reporting
• Knowledge of database operations and concepts
• Expertise with networking technologies like DNS, TCP/IP, etc.
• Familiarity with Amazon Web Services and other Cloud infrastructure platforms (e.g. GCP, Azure)
• Knowledgeable about a wide range of web and internet technologies
• Capability to write small programs/scripts to solve both short-term systems problems
• A CS/CE degree or equivalent experience
• At least 1 of the following programming languages: Java, Go, Javascript
• A keen interest in learning new things

Nice To Have

• MongoDB
• Splunk
• Kubernetes

Benefits include

• Competitive salary, equity, pension and health insurance
• Regular performance, compensation and development reviews
• 20 weeks Maternity & Paternity leave to spend time with new arrivals

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID 4263312827

We are hiring an experienced Security Software Engineer (Staff or Senior) for our Infrastructure Security team to design and build scalable security controls and services within MongoDB Atlas multi-cloud infrastructure.

The team sits within the Site Reliability Engineering organization and works with other engineering teams to ensure that our infrastructure adheres to the highest security standards.

This role can be based out of our Dublin office, or work fully remotely in Ireland.

Responsibilities:

• Design and build core security primitives and services that protect MongoDB Atlas compute, networking, and identity across AWS, Azure, and GCP
• Build secure-by-default infrastructure using Linux security mechanisms (AppArmor, SELinux, seccomp, cgroups), Kubernetes, and eBPF to enforce runtime policies and gain deep visibility into systems behaviour
• Develop APIs, automation, and tooling that manage security posture at scale (CSPM, vulnerability management, workload identity) and provide monitoring, logging, and alerting pipelines that integrate with our tooling (Grafana, Splunk, Victoria Metrics.)
• Integrate security into our CI/CD and infrastructure-as-code workflows (Terraform) so that security controls are versioned, reviewed, and deployed just like any other code
• Lead complex projects end‑to‑end, from problem discovery and design docs to implementation, rollout, and long‑term ownership
• Collaborate with SRE, platform and product engineering teams to define secure architectures for new infrastructure and services

Qualifications:

You might be a great fit if you match some of the following:

• 5+ years of experience in Software Engineering, Site Reliability Engineering, or similar roles, preferably with relevant security work
• Proficiency with at least one programming language (Java, Golang, Rust, Python, or C/C++) and experience with infrastructure-as-code tools (Terraform) to automate security configurations and processes
• A deep understanding of Linux and networking concepts, including low-level fundamentals, and how they work together in complex systems
• Experience building security-related features or platforms such as runtime monitoring, CSPM, or vulnerability management
• Experience with a cloud provider (AWS, GCP, or Azure) and their security best practices and building blocks
• Hands-on experience with Kubernetes and its security ecosystem (e.g. RBAC, OPA/Gatekeeper, Kyverno, eBPF, Falco, Tetragon)
• A systems mindset: you think about failure modes, performance, observability, and operability alongside security and correctness
• Strong communication skills and the ability to explain complex security concepts and tradeoffs to both technical and non-technical stakeholders

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 426183

We are seeking a Senior Director of Engineering to lead the development of our Observability Platform within MongoDB. This is a high-impact role where you will drive the technical vision, execution, and growth of a critical component in our ecosystem. You will be responsible for building and scaling a world-class team, shaping the future of internal and external Observability for Atlas, MongoDB’s cloud-managed solution.This is an opportunity to join a team that is responsible for all Observability systems that support metrics, metric visualization, logs, traces, and alerts for MongoDB. We are looking for a leader that is results focused, with high standards, and experience in leading large engineering teams in designing, building and operating complex distributed systems at scale, with strict SLO on security, durability, availability and performance.  

Tens of thousands of customers depend on our Observability stack to monitor their database clusters and to generate actionable alerts to safeguard critical workloads.  As MongoDB Atlas and its supporting infrastructure continue to experience rapid growth, the demand for high-cardinality observability data for internal and external use cases means we need to continually innovate and scale our systems to the next level. For example, MongoDB Observability systems need to handle 10’s of billions of metrics time series, all whilst processing petabytes of logs, traces, and events.

Our team champions a strong culture of inclusivity, diversity, and collaboration. If you want to be a deeply technical leader on a collaborative team that applies low-level systems expertise to build the foundational infrastructure of a popular database, join us! 

We are looking to speak to candidates who are based in Dublin for our hybrid working model.

Responsibilities

• Lead and Manage the Observability Engineering Team – Oversee engineering efforts to design, develop, and scale our Observability platform, ensuring high performance, reliability, and efficiency
• Architect and Optimize Systems required to support logging, monitoring, alerting and metric visualisation at huge scale
• Integrate with MongoDB Atlas – Work with cross-functional teams to integrate Observability improvements into the Atlas platform
• Recruit and Build a High-Performance Team – Attract, hire, and mentor top-tier engineering talent, fostering a culture of innovation, collaboration, and technical excellence
• Define Product and Engineering Strategy – Collaborate with product, research, and engineering leaders to define the long-term vision, roadmap, and architecture of the observability platform
• Ensure Operational Excellence – Drive best practices for monitoring, reliability, and performance of observability services in production
• Stay Ahead of Observability Trends – Keep up with advancements in Observability trends to maintain MongoDB’s leadership

Requirements

• 10+ years of engineering leadership experience, including managing multiple teams and scaling large, distributed systems
• Deep expertise in distributed systems and large-scale data processing infrastructure
• Experience working with cloud-native architectures and platforms like AWS, GCP, Azure, and Kubernetes
• Proficiency in high-performance API development and integrating data pipelines into production systems
• Excellent leadership, strategic thinking, and ability to influence cross-functional stakeholders
• Experience in hiring, mentoring, and scaling world-class engineering teams
• Manager of managers experience

Why Join Us?

• Own and lead the development of the core observability platform within MongoDB
• Work with cutting-edge technologies to shape the future of observability
• Collaborate with world-class engineers and researchers on complex, high-scale distributed systems
• Drive technical and product strategy at a high-growth, industry-leading company

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

REQ ID: 1273390832

MongoDB is seeking a Senior Product Security Engineer to drive cloud security initiatives for MongoDB Atlas and the cloud platforms that power it across AWS, GCP, and Azure. You’ll be a senior individual contributor in the MongoDB Product Security organization, a diverse team responsible for the security of all customer‑facing products, including Atlas, self‑managed/server, and a broad ecosystem of related services and tools.

Within Product Security, the Cloud Security team focuses specifically on Atlas control plane and data plane environments and the underlying cloud platforms, partnering closely with Atlas engineering, SRE, other security engineering teams, and global security operations to build and defend secure‑by‑default, large‑scale, multi‑tenant cloud services.

This role can be based in our Dublin office (hybrid working model) or remotely in Ireland.

Requirements

• 7+ years of experience in application, product, and/or cloud security for large-scale, customer-facing systems, ideally in a multi-cloud or SaaS environment
• Strong, hands-on experience with cloud security architecture on at least one major cloud provider (AWS, GCP, or Azure), with familiarity across:
• VPC/networking (segmentation, egress controls, private connectivity)
• IAM (roles, policies, workload identity, cross-account access)
• Keys and secrets (KMS, HSMs, secret management systems)
• Container/orchestration security (e.g., Kubernetes, ECS, serverless)
• Multi-tenant control planes and blast-radius reduction patterns.
• Solid security architecture fundamentals: able to design and review end-to-end systems, reason about threat models and risk trade-offs, and recommend appropriate controls across application, data, and infrastructure layers
• Ability to read and reason about code (e.g., Go, Java, or similar languages) and familiarity with IaC (Terraform/CloudFormation), CI/CD, and security automation tooling (e.g., CSPM, IaC scanning, SAST, SCA)
• Demonstrated experience leading security reviews and projects in partnership with engineering teams (e.g., threat modeling, design reviews, targeted testing) and turning findings into pragmatic, prioritized remediation work
• Excellent written and verbal communication skills; you can explain complex cloud and product security issues in a way that builds trust with engineers, leaders, and, when needed, customers
• A strong sense of ownership and follow-through, paired with a collaborative working style--you bring others along, create space for their input, and offer specific, actionable feedback

In this role you will…

• Co-own and drive Atlas cloud security initiatives such as control plane hardening, cloud security baselines, identity and access patterns, customer account protections, and data-plane protections for multi-tenant environments
• Perform and lead security reviews for Atlas features and platform changes in cloud environments, including architecture review, threat modeling, and targeted testing, with an emphasis on pragmatic, actionable guidance
• Design and review cloud architectures across AWS, GCP, and Azure--covering networking, IAM, secrets management, and service-to-service access--and help define secure reference architectures that can be reused by Atlas teams
• Embed security into platforms and guardrails by working with platform, SRE, and other security engineering teams to implement policies and automation (e.g., policy-as-code, secure defaults, pre-deployment checks) that make the secure path the easiest path for developers
• Use CSPM, infrastructure vulnerability data, and IaC scanning to identify meaningful posture gaps in Atlas environments and drive concrete hardening work with clear ownership, coverage, and success metrics
• Partner with Detection & Response, SRE, and other security teams to bring product and cloud context to incidents, threat hunts, and posture investigations, and to design new detections tied to Atlas and its cloud footprint
• Influence roadmaps and priorities by translating security risk and customer expectations into well-scoped problem statements, options, and trade-offs that resonate with engineering and product leaders
• Mentor and support other engineers (within Product Security and partner teams), contributing to internal documentation, reviews, and training that raise the bar for secure cloud design and implementation

Nice to Haves

• Prior experience as a security engineer for a multi-tenant SaaS or cloud platform, particularly in data, database, or infrastructure-as-a-service domains
• Hands-on experience with Atlas-like environments: control planes orchestrating resources across multiple cloud providers, with strong isolation and blast-radius containment requirements
• Experience improving the signal quality and developer adoption of CSPM, vulnerability management, or IaC scanning in large engineering organizations
• Public contributions to the security community (talks, tools, standards, or publications) in cloud or product security
• Experience mentoring other security engineers or serving as a bar-raiser in interviews for product/cloud security roles

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 1273407903

The MongoDB Database Experience team is a diverse group of contributors working together to help our users manage MongoDB at global scale. This includes building tools for MongoDB Atlas: our database as a service offering and fastest growing product which allows users to deploy fault-tolerant, globally distributed MongoDB clusters in just minutes.

We're seeking a Senior Software Engineer to join our Developer Tools Team within the Database Experience department. The team is responsible for tools which allow users to interact with their data and to understand the health and performance of their MongoDB deployments. The Developer Tools Team works on a variety of APIs and customer-facing UIs empowering MongoDB users to interact with their stored data, whether that’s on desktop via MongoDB Compass or in the browser via Atlas Data Explorer.

This role can be based out of our Dublin office or remotely in Ireland

We're looking for someone who

• Has at least 4 years of experience working on backend systems (Java, C#, Go, Node.js, etc.)
• Is a backend engineer with a willingness to take on frontend tasks or a full-stack developer with a bias towards backend
• Has experience with the design and architecture of a modern, scalable, high availability web application
• Has experience working with databases
• Enjoys collaboration and being part of a team
• Is approachable, curious, and intellectually honest
• Would enjoy chasing down difficult problems in a distributed environment
• Always strives to expand their knowledge

Nice to Haves

• Knowledge of database internals and tuning mechanisms, particularly indexing
• Previous work in TypeScript, React, and Node.js, particularly maintaining an ecosystem of dependencies
• Experience working with websocket based client to server communication
• Familiarity with developing and supporting microservice based architectures using Kubernetes

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 1273401326

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers.

MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. 

We are looking to speak to candidates who are based in Dublin for our hybrid working model.

As an ideal candidate, you will have

• Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software
• Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
• Experience designing with scalable and highly available distributed systems in the cloud and on-prem
• Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
• Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
• Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
• The ability to travel up to 25%
• A Bachelor’s degree or equivalent work experience
• Fluency in Hebrew would be a plus

You may also have

• Experience selling databases and/or deploying applications with any of the major cloud providers 
• Experience with database programming and data models 
• Experience in data engineering or AI/ML projects
• Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
• Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
• A MongoDB Certification
• A Cloud Provider Certification

What you do at MongoDB

In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:

• Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
• Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
• Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
• Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
• Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
• Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members 
• Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends

What you will learn

MongoDB Product Suite Mastery:

• Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
• Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
• Relational Migrator: Learn to migrate from relational databases seamlessly

Market-Relevant Technologies:

• Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
• Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes

Modern Architecture Design:

• Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
• Cutting Edge RAG and AI Architectures: Help customers on their generative AI journeys and working with industry leading partners in the space

Sales Techniques and Soft Skills:

• Effective Communication: Master presentations, demonstrations, and whiteboarding
• Client Interaction: Develop strategies for discovery and objection handling

Industry Insights:

• Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

REQ ID: 426116

MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.

The Site Reliability Engineering team designs and builds the global infrastructure on which we deploy our services, focusing on the above mentioned flagship MongoDB Atlas platform. As our customers grow and globalize, our services must satisfy demands for low-latency requests around the globe, and comply with various data sovereignty requirements. The SRE Team’s mission is to build this increasingly complex infrastructure, while continually lowering the operational burden associated with it, and increasing our internal visibility into the health of the system. We are strong believers in infrastructure-as-code and self-healing systems. The SRE Team is fully integrated with all the other engineering teams, and the teams work closely together with a soft and traversable boundary between their areas of responsibility.

We are looking to speak to candidates who are based in Dublin for our hybrid working model.

Responsibilities

• Design and build the infrastructure for a global cloud service that comprises hundreds of thousands of MongoDB clusters, processes a billion metrics per day, and replicates tens of billions of database writes to our backup service
• Design, implement, and troubleshoot the automation and monitoring of services that seamlessly spans the globe - including several cloud providers
• Become an expert in infrastructure performance, helping us optimize from the application level all the way through the firmware
• Build for resilience. Our goal is that nobody’s pager goes off, ever. Are we there yet? No. Are we really close? Very. While we work on that - participate in a weekly on-call rotation
• Improve our infrastructure capabilities, optimizing for cost, simplicity, and maintainability

Requirements

• 3+ years of experience running a mission critical service at scale in a Linux environment
• Firm grasp of at least one modern programming language, beyond basic scripting
• Familiarity with web and network protocols and standards (HTTP, TLS, DNS, etc)
• Bachelor’s degree in Computer Science or equivalent experience
• Experience writing automation tools & eagerness to "automate all the things"

Nice to have

• Experience building large applications from scratch, complete with CI/CD infrastructure
• Experience in networking, security, hardware or OS performance tuning
• Experience with at least one of the major cloud providers (Amazon Web Services, Google Compute, Microsoft Azure)
• Experience managing kubernetes clusters or some other container orchestration infrastructure
• Experience with observability of large scale distributed systems

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 3263213607

MongoDB’s Storage Layer Services (SLS) team is re-architecting the MongoDB cloud storage layer and sits at the heart of our next-generation cloud storage architecture. This relatively new team is building performant, multi-tenant distributed storage services that both enhance today’s Atlas storage stack and enable more customer workloads to run more efficiently.

As the Lead Site Reliability Engineer for SLS, you will partner with the teams building these storage services to define SLOs, shape capacity plans, and ensure the reliability, durability, and operational safety of the storage layer that underpins Atlas. You’ll help grow and lead a small, senior team of SREs as founding members of this organization, playing a crucial role in executing on a multi-year roadmap for MongoDB’s cloud storage architecture.

We are looking to speak to candidates who are based in Dublin for our hybrid working model.

Responsibilities

• Build and lead a team of 6-8 engineers, fostering a positive culture, handling career growth and performance conversations, and proactively removing blockers
• Define and drive a clear technical vision and comprehensive roadmap for our multi-tenant distributed storage systems, balancing long-term strategic infrastructure goals with immediate engineering needs
• Contribute through hands-on technical work, such as leading architectural design reviews, reviewing PRs, and stepping in to guide the team through complex operational challenges
• Act as the primary liaison for the Storage Layer Services SRE team, collaborating closely with other engineering leaders to ensure platform alignment and manage stakeholder expectations

You may be a good fit if you

• Have 10+ years of experience working on software and operating distributed systems, with 2+ years managing engineering teams
• Possess a customer-focused mindset, treating internal developers as your primary users
• Value efficiency in processes and operations, and have a track record of optimizing team workflows
• Prefer automation over manual processes, fostering a culture of building software solutions to eliminate toil
• Have deep technical familiarity with Kubernetes ecosystems, containerization technologies, and modern IaC tooling (e.g., Terraform, Crossplane, or Operators) so you can effectively guide the team's technical decisions
• Have operated or supported stateful storage or database systems at scale and are comfortable with durability, consistency and recovery trade-offs
• Excel at translating complex business and engineering requirements into actionable, phased technical roadmaps
• Have a high level of empathy, responsibility, ownership, and accountability
• Excellent verbal and written technical communication skills

Strong candidates may also have experience with

• Leading major architectural shifts, such as moving from legacy storage stacks to new multi-tenant storage architectures, including planning and executing large-scale data and workload migrations with tight availability and durability requirements
• Managing and scaling infrastructure across multi-cloud environments (AWS, GCP, or Azure)
• Designing secure, multi-tenant runtime environments at scale

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 1273396229

The Team

MongoDB’s Storage Layer Services (SLS) team is re-architecting the MongoDB cloud storage layer and sits at the heart of our next-generation cloud storage architecture. This relatively new team is building performant, multi-tenant distributed storage services that both enhance today’s Atlas storage stack and enable more customer workloads to run more efficiently.

You will partner with the teams building these storage services to define SLOs, shape capacity plans, and ensure the reliability, durability, and operational safety of the storage layer that underpins Atlas. You’ll join a small, senior team of SREs as founding members of this organization, playing a crucial role in executing on a multi-year roadmap for MongoDB’s cloud storage architecture.

We are looking to speak to candidates who are based in Dublin for our hybrid working model.

The ideal candidate should: 

• Have 6+ years of experience working on software development and operating distributed systems
• Proficiency in Python, Go, or a similar language
• Have operated or supported stateful storage or database systems at scale, and are comfortable with durability, consistency, and recovery trade-offs.
• Possess a customer-focused mindset
• Value efficiency in processes and operations
• Prefer automation over manual processes. We are a small team of software engineers with a strong bias towards software solutions to avoid toil
• Experience using and extending containerization technologies, particularly Kubernetes, to enhance application agility, optimize resource utilization, and accelerate time-to-market
• Expertise in cloud infrastructure platforms, including AWS, Google Cloud Platform (GCP), or Azure
• Understanding of Linux operating system internals and networking concepts (e.g., TCP/IP, DNS, TLS, routing)

Responsibilities: 

• Work on our multi-tenant distributed storage systems, balancing long-term strategic infrastructure goals with immediate engineering needs
• Build for reliability, making services and infrastructure available, resilient, fault-tolerant, and self-healing
• Identify and configure key metrics to detect incidents and quantify service health, availability, and performance
• Participate in a 24/7 on-call rotation to resolve issues involving the storage infrastructure
• Become an expert in infrastructure performance, helping us optimize from the application level all the way to the kernel

Strong candidates may also have experience with:

• Leading major architectural shifts, such as moving from legacy storage stacks to new multi-tenant storage architectures, including planning and executing large-scale data and workload migrations with tight availability and durability requirements
• Managing and scaling infrastructure across multi-cloud environments (AWS, GCP, or Azure)
• Designing secure, multi-tenant runtime environments at scale

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

REQ ID: 2263171786

The Enterprise Advanced team is a diverse group of individuals across Europe and India, who develop software to run MongoDB on any type of infrastructure at global scale. Our software and services allow users to deploy fault-tolerant, globally distributed MongoDB clusters in minutes.

The main focus of this team is to adapt our software to manage MongoDB clusters which are deployed in data centers or private cloud platforms, while offering cutting edge capabilities to our self-managing customers.

You will work on the core functionality for all of our products, mainly on the Ops Manager, Cloud Manager, and Automation products.  Our team's end users are some of the largest businesses in the world, deploying massive clusters and processing huge amounts of data.

We are looking to speak to candidates who are interested in being based in Dublin for our hybrid working model, or remotely within Ireland.  This role will report to an Engineering Manager based in Poland. 

What you’ll do

• Design, implement, test, and release features for  Ops Manager
• Test and incrementally ship elements of complex projects
• Apply our core values to your work, in planning, design, and coding
• Assist with troubleshooting bugs in customer deployments

A great fit for this role will be

• Someone who loves programming!
• Someone who enjoys working with others to achieve a common goal!
• You're flexible! You're willing to take on a wide variety of responsibilities, learning as you go
• You're a self-starter! You're comfortable organizing your own time, acting on feedback and prioritizing with guidance from senior members of your team

Requirements

• Experience with a language such as Java or Go
• Familiarity with Continues Integration and Continues Delivery Pipeline concepts
• Familiarity with multi-threaded, asynchronous, distributed systems
• Good knowledge of Computer Science fundamentals (data structures and algorithms)
• Good understanding of Object Orientation concepts
• Ability to think conceptually and design modular, complex systems

Nice to haves

• Familiarity running services on Cloud Infrastructure (Amazon AWS, Google Cloud Platform, Microsoft Azure), using containers and/or container orchestration platforms (Docker, Kubernetes, Openshift)
• Familiarity with CI/CD tooling and release infrastructure integrations (Github Actions, Jenkins, etc.) and Build Tools (Bazel)
• Experience working directly with production systems
• Experience or interest in full-stack web application development

What is in it for you:

• Generous compensation package (top-range salary, equity, comprehensive benefits)
• Flexible working options
• Opportunities to learn on the job (time to upskill in new technologies)
• Team budget for attending industry-specific conferences and training
• High level of independence in your day to day work
• Engineers in our team have the chance to work with multiple programming languages (JAVA, Javascript/React, Golang)
• You'll be joining a good-humored supportive team that works well together!

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

REQ ID: 1273351993

We’re looking for a machine learning engineer II in our Growth Platform engineering group. You’ll join a small and focussed team who will help us to understand our users better so we can drive engagement and growth, and to improve their user experience.

What you'll do:

• Develop and implement ML models to improve user targeting and personalization for growth initiatives
• Design and build scalable ML pipelines for data processing, model training, and deployment
• Collaborate with cross-functional teams to identify potential ML solutions for growth opportunities
• Conduct A/B tests to evaluate the performance of ML models and optimize their impact on key growth metrics
• Analyze large datasets to extract insights and inform decision-making for user acquisition and retention strategies
• Contribute to the development of our ML infrastructure, ensuring it can support rapid experimentation and deployment
• Stay up-to-date with the latest advancements in ML and recommend new techniques to enhance our growth efforts
• Participate in code reviews and collaborate with team members as needed
• Thoughtfully leverage AI tools to speed up design, coding, debugging, and documentation, while applying your own critical thinking to validate outputs and explain how you used AI in your workflow.
• Shape our AI-assisted engineering practices by sharing patterns, guardrails, and learnings with the team so we can safely increase our impact without compromising code quality, reliability, or candidate expectations.

What we're looking for:

• 3+ years of experience applying ML to real-world problems, preferably in a growth or user acquisition context
• Excellent communication skills and ability to work effectively in cross-functional teams 
• Strong problem-solving skills and ability to translate business requirements into technical solutions
• Strong programming skills in Python and experience with PyTorch
• Proficiency in data processing and analysis using tools like SQL, Spark, or Hadoop
• Experience with recommendation systems, user modeling, or personalization algorithms
• Familiarity with statistical analysis
• Experience using AI coding assistants and agentic tools as a force-multiplier, and equally comfortable solving problems from first principles when those tools aren’t available.
• Bachelor’s/Master’s degree in a relevant field or equivalent experience.
• Nice to have:
  • Experience with Natural Language Processing (NLP) to enhance user targeting and personalization strategies
  • Proficiency in data visualization techniques
  • Experience with cloud platforms (e.g., AWS) and containerization technologies (e.g., Docker, Kubernetes)
  • Contributions to open-source ML projects or research publications

Relocation Statement:

•  This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
• This role will need to be in the office for in-person collaboration 1-2 times per month and therefore needs to be in a commutable distance from one of the following offices: Dublin.

#LI-HYBRID 

#LI-JD1

The Principal Software Engineer role requires partnering across Product Management, Architects, Engineering, Hosting and Operations. Extensive hands-on technical expertise coupled with ingenuity, broad industry knowledge and excellent communication skills. Will use their understanding of technology, frameworks, and constraints to help pave the way for future innovation on our platforms.

You will contribute to the architecture of large-scale commerce systems on Sony’s PlayStation Network Platform. Your work will follow industry standard guidelines to enable highly available, active-active, extensible services.

Participates in product road-map discussions and identify key areas for improvement in the product and incorporates these goals into ongoing & future development initiatives.

What you'll be doing:

• You are passionate about making distributed systems better and have an insatiable thirst to keep learning.
• You have deep expertise in system engineering and have successfully improved the performance of the software stack.
• You design and develop high-quality software solutions that meet requirements. Including code, debugging, and testing.
• You have implemented rigorous standard methodologies for measuring, understanding, predicting, and improving how enterprise grade systems operate (even better if they happen to be Data oriented). 
• You have taken a project from scoping requirements to actual launch of project.
• You know how to build a positive relationship with Architects to influence technology decisions. 
• You document designs, implementations and tests.
• You have led a development community establishing and influencing quality engineering standard methodologies across the development community.

What we're looking for:

• BS Degree in Engineering, Computer Science or equivalent experience.
• 10+ years’ experience in software development, programming, design, and analysis.
• Expertise in programming languages and technologies including Java, Python, Golang, and infrastructure as code (Terraform, Cloud formation).
• Experience delivering high performance, active-active, scalable services (Enterprise Java/J2EE, Web Services, large-scale data systems/NoSQL) 
• Experience with Containers (Docker and Kubernetes)
• Proficient in the software development process, including coding standards, code reviews, source control management, build processes, testing, and operations. 
• Track record monitoring and analyzing system performance, isolating issues or bottlenecks that could impact reliability, performance, and scalability.
• Possess deep knowledge of computer science fundamentals such as object-oriented design, data structures, algorithm design, problem solving, and complexity analysis.
• Identifying and mitigating technical risks.
• Strong knowledge of SQL and NoSQL programming (Oracle, Cassandra, Amazon Aurora) including both relational database schema designs and schema-less systems.
• Hands-on experience in Amazon Web Services, at enterprise scale is required including familiarity with DynamoDB, Aurora, EC2, and other AWS services.
• Experience performing performance testing and/or development efforts for a complex, high throughput system.
• Solid understanding of the path(s) customer requests flow from web browser to back-end.
• Synchronous and asynchronous patterns and use cases. (REST, RPC, EDA, Eventual Consistency)
• Understanding of Domain Driven Design
• Understanding of loose coupling software design patterns (i.e., hexagonal architecture)
• Have an opinion around microservice vs SOA.
• Conduct research on new technologies and methodologies, and make recommendations for improvement. 
• Proven ability to take a project from scoping requirements to actual launch of project.
• Work with other Principal Engineers to align technology and architecture strategies.
• Extensive experience with agile development methodologies and practices involving creating tests prior to coding required.
• Experience with open source technology stacks and scripting technologies required.
• Ability to handle periodic on-call duty as well as out-of-band requests.
• Possess outstanding verbal and written communication skills and be able to work with others at all levels, effective at working with geographically remote and culturally diverse teams.

Helpful but not required:

• Game industry experience
• Azure/GCP

Sony Interactive Entertainment is searching for experienced Full Stack Software Engineers to join our team and contribute to the development of in-house applications. This role involves creating seamless and secure solutions and ensuring delivery of exceptional user experiences. As a full-stack developer, you will work across the stack, contributing to both the front-end and back-end architecture and implementation. This is an opportunity to participate in a fun, demanding, fast-paced environment for individuals who thrive on new challenges and creative solutions.

What you'll be doing:

• Architect, design and develop RESTful API Endpoints, ensuring high performance, scalability and maintainability.
• Collaborate with other Front-End Engineers and develop dynamic, responsive and user-friendly web applications.
• Define Data Models and database schemas and manage relational databases or NoSQL databases ensuring data integrity and performance.
• Create and maintain documentation of application design, configuration and maintenance.
• Provide accurate timelines for specific tasks assigned.
• Participate in scheduled on-call rotation and respond to emergencies.

What we're looking for:

• 3+ years professional experience working with medium/large complex code bases
• Experience in Full Stack development
• Experience with one or more of the following programming languages: Java, Go, or Python
• Experience in REST API design and implementation
• Proficient in HTML, CSS, the JavaScript ecosystem and familiarity with popular frameworks like React, Angular, Ember, Jest, Babel, and TypeScript
• Knowledgeable in UI/UX design principles
• Strong communication and interpersonal skills
• Desire to collaborate and to develop strong and positive team relationships
• Attention to detail, organizational skills, a strong work ethic and the ability to work independently.

Preferred Qualifications:

• Bachelor’s degree in Computer Science or related field, or at least three years of proven experience in lieu of a degree
• Demonstrated ability to write clean, maintainable, and well-documented code.
• Database management, cloud technologies (AWS), and containerization (Docker, Kubernetes)
• Knowledge of React best practices
• Familiarity with DevOps tools and practices, including CI/CD pipelines
• Automated deployment tools (e.g. Terraform, Ansible, Jenkins)
• Excellent problem-solving skills and attention to detail
• Experience with Agile development methodologies such as SAFe, Scrum

POS-31662

Role Summary

HubSpot is building the next generation of AI experiences across our go-to-market products. We’re hiring a Senior Machine Learning Engineer II to join the Flywheel Context (Contacts) team, where you’ll build the context platform layer that powers accurate, high-performing AI assistants and agents.

This is a backend-leaning ML engineering role focused on shipping production software—designing systems that help other engineering teams retrieve relevant facts, manage long/complex context, and evaluate quality at scale. If you love building durable platforms (not just prototypes), this role is for you.

What You’ll Do

• Design, build, and operate backend services that power context retrieval and enrichment for AI assistants and agents.

• Build platform capabilities for storing, searching, and retrieving “insights” and relevant facts across HubSpot’s GTM data.

• Develop systems to manage and compress context when it gets large (e.g., long contact histories, high-volume CRM data).

• Create tooling that allows other engineering teams to ship assistants/agents faster, with consistent APIs and reusable primitives.

• Build and maintain evaluation and measurement approaches (offline evals, golden datasets, automated metrics, human review loops) to ensure context quality and answer accuracy.

• Collaborate closely with sister platform teams and downstream product engineering teams (your “customers”) to integrate platform capabilities into real experiences.

• Own end-to-end delivery: architecture, implementation, observability, performance, reliability, and iteration.

Required Qualifications

• Strong track record shipping production backend systems as a senior engineer (ownership from design to delivery).

• Professional Java experience building maintainable, testable services in production (this is core to the role).

• Experience implementing ML workflows in production (e.g., retrieval/ranking pipelines, feature/data pipelines, model/embedding services, evaluation frameworks).

• Comfort working with data tooling and data-intensive systems (large datasets, pipelines, and service integrations).

• Experience operating software at meaningful scale (e.g., high throughput, significant data volume, performance and reliability constraints).

• Strong engineering fundamentals: system design, code quality, debugging, observability, and operational excellence.

Nice-to-Have Qualifications

• Experience with search/retrieval/relevance/ranking systems (highly aligned to context work).

• Experience with RAG-style systems, embeddings, vector search, or hybrid retrieval strategies.

• Familiarity with LLM evaluation patterns (golden sets, automated metrics, human review), hallucination mitigation, and quality measurement.

• Experience with distributed systems, event-driven architectures, or stream processing.

• Cloud/platform experience (e.g., Kubernetes, AWS/GCP) and running services in production.

• Some Python experience (useful, but not the primary language).

POS-31662

Role Summary

HubSpot is building the next generation of AI experiences across our go-to-market products. We’re hiring a Senior Machine Learning Engineer II to join the Flywheel Context (Contacts) team, where you’ll build the context platform layer that powers accurate, high-performing AI assistants and agents.

This is a backend-leaning ML engineering role focused on shipping production software—designing systems that help other engineering teams retrieve relevant facts, manage long/complex context, and evaluate quality at scale. If you love building durable platforms (not just prototypes), this role is for you.

What You’ll Do

• Design, build, and operate backend services that power context retrieval and enrichment for AI assistants and agents.

• Build platform capabilities for storing, searching, and retrieving “insights” and relevant facts across HubSpot’s GTM data.

• Develop systems to manage and compress context when it gets large (e.g., long contact histories, high-volume CRM data).

• Create tooling that allows other engineering teams to ship assistants/agents faster, with consistent APIs and reusable primitives.

• Build and maintain evaluation and measurement approaches (offline evals, golden datasets, automated metrics, human review loops) to ensure context quality and answer accuracy.

• Collaborate closely with sister platform teams and downstream product engineering teams (your “customers”) to integrate platform capabilities into real experiences.

• Own end-to-end delivery: architecture, implementation, observability, performance, reliability, and iteration.

Required Qualifications

• Strong track record shipping production backend systems as a senior engineer (ownership from design to delivery).

• Professional Java experience building maintainable, testable services in production (this is core to the role).

• Experience implementing ML workflows in production (e.g., retrieval/ranking pipelines, feature/data pipelines, model/embedding services, evaluation frameworks).

• Comfort working with data tooling and data-intensive systems (large datasets, pipelines, and service integrations).

• Experience operating software at meaningful scale (e.g., high throughput, significant data volume, performance and reliability constraints).

• Strong engineering fundamentals: system design, code quality, debugging, observability, and operational excellence.

Nice-to-Have Qualifications

• Experience with search/retrieval/relevance/ranking systems (highly aligned to context work).

• Experience with RAG-style systems, embeddings, vector search, or hybrid retrieval strategies.

• Familiarity with LLM evaluation patterns (golden sets, automated metrics, human review), hallucination mitigation, and quality measurement.

• Experience with distributed systems, event-driven architectures, or stream processing.

• Cloud/platform experience (e.g., Kubernetes, AWS/GCP) and running services in production.

• Some Python experience (useful, but not the primary language).

The Opportunity

Our AI teams build highly available, low-latency microservices using modern, cloud-native technologies. This role sits within our broader AI organization and focuses on developing the platforms, services, and tooling that support AI-powered products — from inference and embeddings to APIs, data flows, and observability.

You’ll work in a fast-paced environment where reliability, performance, and usability matter just as much as innovation. While some squads work closer to inference pipelines and LLM tooling, others focus on platform foundations, troubleshooting and reliability, data systems, or observability — all critical to delivering AI in production at scale.

What You’ll Do

• Build, test, and deploy scalable microservices for AI-powered systems, including text and voice processing
  
  
• Design developer-friendly APIs, agents and internal tools that make AI easy to use across the Telnyx product ecosystem
  
  
• Contribute to AI inference, embeddings, and platform services that support real-time and low-latency workloads
  
  
• Optimize performance, reliability, and observability in production environments
  
  
• Collaborate closely with Product, Infrastructure, and ML teams to bring features from ideation to production
  
  
• Troubleshoot, debug, and support critical systems running in production
  
  
• Participate in code reviews and uphold high engineering and operational standards
  
  

Depending on the squad, your focus may lean more toward inference pipelines, platform foundations, observability, data systems, or production troubleshooting.

Who We’re Looking For

• Someone who has built something with cutting-edge AI tooling (something that has only become possible in the last 6 months, rolling from application date). It doesn't really matter what it is; we just want to know you are building and staying up to date.
  
  
• Strong understanding of async programming, concurrency, and parallel execution
  
  
• Experience with microservice-based systems
  
  
• Excellent communication skills and the ability to work effectively across teams
  
  

Nice to Haves

• Familiarity with LLM frameworks and tools (e.g. PyTorch, Transformers, DeepSpeed, vLLM)
  
  
• Experience with distributed computing frameworks such as Ray (Ray Core, Serve, Train)
  
  
• Exposure to cloud-native stacks (Docker, Kubernetes, Prometheus, Jaeger)
  
  
• Knowledge of LLM optimization techniques (e.g. quantization, speculative decoding)
  
  
• Background in Retrieval Augmented Generation (RAG) systems

How We Hire Across Our AI Teams

Our AI Chapter is made up of multiple squads, including:

• AI application & software engineering
  
  
• Platform & infrastructure foundations
  
  
• Troubleshooting, reliability, and production support
  
  
• Data, storage, and embeddings
  
  
• Observability and performance monitoring
  
  

We hire into a shared AI engineering pipeline. During interviews, we focus on core engineering skills, system design, and problem-solving ability. Final squad alignment happens later, based on:

• Your strengths and interests
  
  
• Team needs at the time
  
  
• Where you’ll have the biggest long-term impact
  
  

This means the exact focus of the role may vary by squad, but the core expectation remains the same: building reliable, scalable AI systems in production.

Why You’ll Love It Here

At Telnyx, we’re not just building products — we’re building the future of intelligent communication. Our TelnyxAI platform empowers developers and businesses to:

• Store and serve vector embeddings at scale
  
  
• Use open-source models with our hosted inference infrastructure
  
  
• Deploy multimodal AI features across text, voice, and storage seamlessly
  
  

You’ll have the autonomy to take ownership of meaningful projects, contribute ideas that shape the product roadmap, and collaborate with talented people who care deeply about impact, quality, and long-term thinking.

#LI-KG1
#LI-VIETNAM
#LI-BRAZIL
#LI-INDIA

The Opportunity

Our AI teams build highly available, low-latency microservices using modern, cloud-native technologies. This role sits within our broader AI organization and focuses on developing the platforms, services, and tooling that support AI-powered products — from inference and embeddings to APIs, data flows, and observability.

You’ll work in a fast-paced environment where reliability, performance, and usability matter just as much as innovation. While some squads work closer to inference pipelines and LLM tooling, others focus on platform foundations, troubleshooting and reliability, data systems, or observability — all critical to delivering AI in production at scale.

What You’ll Do

• Build, test, and deploy scalable microservices for AI-powered systems, including text and voice processing
  
  
• Design developer-friendly APIs, agents and internal tools that make AI easy to use across the Telnyx product ecosystem
  
  
• Contribute to AI inference, embeddings, and platform services that support real-time and low-latency workloads
  
  
• Optimize performance, reliability, and observability in production environments
  
  
• Collaborate closely with Product, Infrastructure, and ML teams to bring features from ideation to production
  
  
• Troubleshoot, debug, and support critical systems running in production
  
  
• Participate in code reviews and uphold high engineering and operational standards
  
  

Depending on the squad, your focus may lean more toward inference pipelines, platform foundations, observability, data systems, or production troubleshooting.

Who We’re Looking For

• Someone who has built something with cutting-edge AI tooling (something that has only become possible in the last 6 months, rolling from application date). It doesn't really matter what it is; we just want to know you are building and staying up to date.
  
  
• Strong understanding of async programming, concurrency, and parallel execution
  
  
• Experience with microservice-based systems
  
  
• Excellent communication skills and the ability to work effectively across teams
  
  

Nice to Haves

• Familiarity with LLM frameworks and tools (e.g. PyTorch, Transformers, DeepSpeed, vLLM)
  
  
• Experience with distributed computing frameworks such as Ray (Ray Core, Serve, Train)
  
  
• Exposure to cloud-native stacks (Docker, Kubernetes, Prometheus, Jaeger)
  
  
• Knowledge of LLM optimization techniques (e.g. quantization, speculative decoding)
  
  
• Background in Retrieval Augmented Generation (RAG) systems

How We Hire Across Our AI Teams

Our AI Chapter is made up of multiple squads, including:

• AI application & software engineering
  
  
• Platform & infrastructure foundations
  
  
• Troubleshooting, reliability, and production support
  
  
• Data, storage, and embeddings
  
  
• Observability and performance monitoring
  
  

We hire into a shared AI engineering pipeline. During interviews, we focus on core engineering skills, system design, and problem-solving ability. Final squad alignment happens later, based on:

• Your strengths and interests
  
  
• Team needs at the time
  
  
• Where you’ll have the biggest long-term impact
  
  

This means the exact focus of the role may vary by squad, but the core expectation remains the same: building reliable, scalable AI systems in production.

Why You’ll Love It Here

At Telnyx, we’re not just building products — we’re building the future of intelligent communication. Our TelnyxAI platform empowers developers and businesses to:

• Store and serve vector embeddings at scale
  
  
• Use open-source models with our hosted inference infrastructure
  
  
• Deploy multimodal AI features across text, voice, and storage seamlessly
  
  

You’ll have the autonomy to take ownership of meaningful projects, contribute ideas that shape the product roadmap, and collaborate with talented people who care deeply about impact, quality, and long-term thinking.

#LI-KG1
#LI-BRAZIL
#LI-INDIA

About the Role

The AI Integrations team builds the tools that bring AI into Telnyx's core products — think voice agents, intelligent messaging, and real-time AI features that improve our customer experience. We need a strong fullstack engineer to help us move faster.

This is a mid-level IC role. You'll own features end-to-end: building React interfaces, writing Node.js services, wiring up databases, and shipping things that work. AI experience isn't required — you'll pick that up here. What matters is that you can build solid fullstack products and want to learn.

What You'll Work On

• Fullstack features across our AI product suite — frontend to database
• Integrating LLMs and AI capabilities into real world applications (with support from the team)
• Building interfaces that make complex AI tools feel simple
• Shipping iteratively — we value working software over perfect plans

Tech Stack

Core (you should know this well):
React 18+, TypeScript, Tailwind CSS, Node.js, PostgreSQL, Prisma, TanStack Query, Docker, Kubernetes

Bonus (nice to have, happy to teach):
Next.js 15+, LLM integration, LangChain/LangGraph RAG/Embeddings, Vector Databases, MCP, WebSockets, WebRTC, Radix UI, Shadcn UI, Framer Motion

What We're Looking For

You're genuinely comfortable across the stack — not a frontend dev who can "do backend" or vice versa. You've built and shipped real features. You take ownership, communicate clearly, and don't need hand-holding.

AI interest is a plus, but we'd rather have a strong fullstack engineer who's curious than an "AI enthusiast" who can't ship.

We move fast on modern web tooling (React/Next, TypeScript, Tailwind). Expect frequent upgrades.

Values

• Ownership — you see things through
• Collaboration — you work well with others and communicate proactively
• Adaptability — comfortable with ambiguity and changing requirements
• Growth mindset — eager to learn, takes feedback well


#LI-KG1 #LI-VIETNAM
#LI-INDIA

The Opportunity

Our AI teams build highly available, low-latency microservices using modern, cloud-native technologies. This role sits within our broader AI organization and focuses on developing the platforms, services, and tooling that support AI-powered products — from inference and embeddings to APIs, data flows, and observability.

You’ll work in a fast-paced environment where reliability, performance, and usability matter just as much as innovation. While some squads work closer to inference pipelines and LLM tooling, others focus on platform foundations, troubleshooting and reliability, data systems, or observability — all critical to delivering AI in production at scale.

What You’ll Do

• Build, test, and deploy scalable microservices for AI-powered systems, including text and voice processing
  
  
• Design developer-friendly APIs, agents and internal tools that make AI easy to use across the Telnyx product ecosystem
  
  
• Contribute to AI inference, embeddings, and platform services that support real-time and low-latency workloads
  
  
• Optimize performance, reliability, and observability in production environments
  
  
• Collaborate closely with Product, Infrastructure, and ML teams to bring features from ideation to production
  
  
• Troubleshoot, debug, and support critical systems running in production
  
  
• Participate in code reviews and uphold high engineering and operational standards
  
  

Depending on the squad, your focus may lean more toward inference pipelines, platform foundations, observability, data systems, or production troubleshooting.

Who We’re Looking For

• Someone who has built something with cutting-edge AI tooling (something that has only become possible in the last 6 months, rolling from application date). It doesn't really matter what it is; we just want to know you are building and staying up to date.
  
  
• Strong understanding of async programming, concurrency, and parallel execution
  
  
• Experience with microservice-based systems
  
  
• Excellent communication skills and the ability to work effectively across teams
  
  

Nice to Haves

• Familiarity with LLM frameworks and tools (e.g. PyTorch, Transformers, DeepSpeed, vLLM)
  
  
• Experience with distributed computing frameworks such as Ray (Ray Core, Serve, Train)
  
  
• Exposure to cloud-native stacks (Docker, Kubernetes, Prometheus, Jaeger)
  
  
• Knowledge of LLM optimization techniques (e.g. quantization, speculative decoding)
  
  
• Background in Retrieval Augmented Generation (RAG) systems
  
  
  

How We Hire Across Our AI Teams

Our AI Chapter is made up of multiple squads, including:

• AI application & software engineering
  
  
• Platform & infrastructure foundations
  
  
• Troubleshooting, reliability, and production support
  
  
• Data, storage, and embeddings
  
  
• Observability and performance monitoring
  
  

We hire into a shared AI engineering pipeline. During interviews, we focus on core engineering skills, system design, and problem-solving ability. Final squad alignment happens later, based on:

• Your strengths and interests
  
  
• Team needs at the time
  
  
• Where you’ll have the biggest long-term impact
  
  

This means the exact focus of the role may vary by squad, but the core expectation remains the same: building reliable, scalable AI systems in production.

Why You’ll Love It Here

At Telnyx, we’re not just building products — we’re building the future of intelligent communication. Our TelnyxAI platform empowers developers and businesses to:

• Store and serve vector embeddings at scale
  
  
• Use open-source models with our hosted inference infrastructure
  
  
• Deploy multimodal AI features across text, voice, and storage seamlessly
  
  

You’ll have the autonomy to take ownership of meaningful projects, contribute ideas that shape the product roadmap, and collaborate with talented people who care deeply about impact, quality, and long-term thinking.

#LI-KG1
#LI-VIETNAM
#LI-BRAZIL
#LI-INDIA

The Opportunity

Our AI teams build highly available, low-latency microservices using modern, cloud-native technologies. This role sits within our broader AI organization and focuses on developing the platforms, services, and tooling that support AI-powered products — from inference and embeddings to APIs, data flows, and observability.

You’ll work in a fast-paced environment where reliability, performance, and usability matter just as much as innovation. While some squads work closer to inference pipelines and LLM tooling, others focus on platform foundations, troubleshooting and reliability, data systems, or observability — all critical to delivering AI in production at scale.

What You’ll Do

• Build, test, and deploy scalable microservices for AI-powered systems, including text and voice processing
  
  
• Design developer-friendly APIs, agents and internal tools that make AI easy to use across the Telnyx product ecosystem
  
  
• Contribute to AI inference, embeddings, and platform services that support real-time and low-latency workloads
  
  
• Optimize performance, reliability, and observability in production environments
  
  
• Collaborate closely with Product, Infrastructure, and ML teams to bring features from ideation to production
  
  
• Troubleshoot, debug, and support critical systems running in production
  
  
• Participate in code reviews and uphold high engineering and operational standards
  
  

Depending on the squad, your focus may lean more toward inference pipelines, platform foundations, observability, data systems, or production troubleshooting.

Who We’re Looking For

• Someone who has built something with cutting-edge AI tooling (something that has only become possible in the last 6 months, rolling from application date). It doesn't really matter what it is; we just want to know you are building and staying up to date.
  
  
• Strong understanding of async programming, concurrency, and parallel execution
  
  
• Experience with microservice-based systems
  
  
• Excellent communication skills and the ability to work effectively across teams
  
  

Nice to Haves

• Familiarity with LLM frameworks and tools (e.g. PyTorch, Transformers, DeepSpeed, vLLM)
  
  
• Experience with distributed computing frameworks such as Ray (Ray Core, Serve, Train)
  
  
• Exposure to cloud-native stacks (Docker, Kubernetes, Prometheus, Jaeger)
  
  
• Knowledge of LLM optimization techniques (e.g. quantization, speculative decoding)
  
  
• Background in Retrieval Augmented Generation (RAG) systems

How We Hire Across Our AI Teams

Our AI Chapter is made up of multiple squads, including:

• AI application & software engineering
  
  
• Platform & infrastructure foundations
  
  
• Troubleshooting, reliability, and production support
  
  
• Data, storage, and embeddings
  
  
• Observability and performance monitoring
  
  

We hire into a shared AI engineering pipeline. During interviews, we focus on core engineering skills, system design, and problem-solving ability. Final squad alignment happens later, based on:

• Your strengths and interests
  
  
• Team needs at the time
  
  
• Where you’ll have the biggest long-term impact
  
  

This means the exact focus of the role may vary by squad, but the core expectation remains the same: building reliable, scalable AI systems in production.

Why You’ll Love It Here

At Telnyx, we’re not just building products — we’re building the future of intelligent communication. Our TelnyxAI platform empowers developers and businesses to:

• Store and serve vector embeddings at scale
  
  
• Use open-source models with our hosted inference infrastructure
  
  
• Deploy multimodal AI features across text, voice, and storage seamlessly
  
  

You’ll have the autonomy to take ownership of meaningful projects, contribute ideas that shape the product roadmap, and collaborate with talented people who care deeply about impact, quality, and long-term thinking.

#LI-KG1
#LI-BRAZIL

Your Role:

Join our Technical Support Team at Tenable where you’ll play a pivotal role in bridging the gap between our products and customers. Solve real-world technical challenges by offering exceptional support for cutting-edge vulnerability assessment and compliance auditing software. Your expertise will shine in complex, multi-layered customer environments. Our suite of products, detailed at https://www.tenable.com/products, offers a diverse range of opportunities. From assisting customers with their first Nessus scanner to guiding them through intricate log correlation and real-time vulnerability analysis, you'll contribute to mitigating cyber risks and closing the Cyber Exposure gap. Join us in delivering top-notch support that makes a difference!

Your Opportunity:

What You'll Need:

• Bachelor’s degree in IT or Computer Science (or equivalent experience).
• 2+ years professional experience with networking (TCP/IP), OS administration(Linux/Windows/MacOS), patch deployment, and system configuration.
• Experience providing technical support to enterprise clients, troubleshooting complex issues in production or customer environments; network security experience a plus.
• Familiarity with Artificial Intelligence (AI) as Tenable continues to build an AI-augmented support model to accelerate case resolutions and to provide an exceptional customer/TSE experience.
• Knowledge of computer, network, and application security; familiarity with Nessus or similar tools is a bonus.
• Strong analytical and problem-solving skills, with the ability to learn quickly.
• Excellent written and verbal communication; customer-focused mindset.
• Ability to manage multiple priorities in a fast-paced environment to help meet business and client needs.
• Monthly availability to work weekends (8am-4:30pm) and Holidays is also required.

And Ideally:

• Using Nessus and/or other vulnerability management or cybersecurity tools, either professionally or in an academic setting.
• Experience with ticketing systems (JIRA, Salesforce, Zendesk etc).
• Log analysis using a SEIM product (Splunk, ElasticSearch, etc).
• Database technologies and SQL knowledge (Oracle, MySQL, MSSQL, etc).
• Cloud/Virtualization technologies (AWS, Azure, Docker, Kubernetes, etc).
• Fundamental understanding of programming languages.
• Experience with or understanding of Certificates and CA’s.
• Basic understanding of reviewing PCAPs with tools such as Wireshark.
• Bilingual candidates are desirable but not required (Arabic/French/German/Spanish/Italian).

#LI-JG1

#LI-Office

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.

We are seeking a highly skilled Technical Product Manager to join our Cloud Native Infrastructure team. The ideal candidate will possess a strong technical background in AWS infrastructure, Software-Defined Networking (SDN), and advanced security solutions, and has experience building out infrastructure and platforms in multiple cloud regions. In this role, you will drive the development and execution of our Cloud Native Infrastructure, ensuring a robust secure cloud platform that is crucial for building and managing cloud native applications and infrastructure.

This is a hybrid role requiring in-office presence two days per week in our Dublin city center location.

A day in the life (Responsibilities) 

• Product Strategy: Develop and execute the product strategy for our Cloud Native infrastructure, aligned with the overall company vision and customer needs. 
• Requirements Gathering: Collaborate with internal and external stakeholders to gather and prioritize product requirements, ensuring alignment with market trends and customer feedback.
• Roadmap Development: Create and maintain a product roadmap that outlines the short-term and long-term strategy for the Cloud Platform.
• Product Delivery: Oversee the end-to-end product development lifecycle, from concept to launch, ensuring timely and successful delivery.
• Customer Engagement: Build and maintain strong relationships with internal customers and external partners
• Cross-functional Collaboration: Work closely with security and compliance teams and our R&D teams to ensure the success of the platform. Work closely with acquisition companies to ensure successful integration to the Toast platform.
• Accelerate Infrastructure Delivery: Drive adoption of AI-assisted tooling to enhance infrastructure development workflows, including infrastructure-as-code authoring, review, and operational automation.

What you'll need to thrive (Requirements)

Product Management Experience:

• 3+ years of experience in technical product management, preferably in a SaaS company,  plus 5+ years of experience in a technical role
• Demonstrated track record of successfully launching and managing products.
• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal skills.

Technical Expertise:

• Proven experience with AWS infrastructure
• Deep understanding of Software-Defined Networking (SDN) principles and technologies.
• Strong knowledge of Cloud Security best practices and technologies.
• Experience building out foundational infrastructure in a SaaS environment
• Experience in designing, implementing, and maintaining enterprise-level DNS and IPAM solutions, with a focus on automation and security.
• Experience applying AI-assisted tools (e.g., Claude code, Cursor, GitHub Copilot etc) to infrastructure engineering workflows, particularly in IaC development, debugging, and documentation.

What will help you stand out (Nonessential Skills/Nice to Haves)

• Kubernetes experience an advantage
• Bachelor's degree in Computer Science, Engineering, or a related field.
• AWS certifications are a plus.

#LI-HYBRID
#BI-Hybrid

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.

We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. A Technical Account Manager (TAM) will continue to provide hands-on technical services to our largest customers by supporting, adopting and providing guidance over the comprehensive suite of products and features available at Datadog. A TAM is held in high regard as an expert and trusted advisor for how IT Operations translates to business value.

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:

• Advise on technical support and product adoption for customers in line with pre-sales, post-sales and the renewal processes
• Analyze customer’s IT Operations environment on a regular basis and provide recommendations that will maximize Datadog’s value.
• Be the customer’s advocate by knowing their goals and use cases then suggesting process changes, product adoption, configuration and additional features to meet their requirements
• Participate and prepare for Monthly and Quarterly Business Reviews with customers
• Collaborate with Datadog’s product management, engineering and technical services teams to help identify new features and products
• Continuously evolve best practice to technical product adoption and customer success

Who You Are:

• Someone with a solid technical grounding and hands-on experience of IT Operations
• Confident in your hands on experience AWS, Azure or GCP
• Comfortable scripting languages like Python, Javascript, Ruby, Perl, Go, PHP, or Chef/Puppet etc.
• Skilled in using CI/CD tools e.g. Jenkins, Gitlab etc.
• Knowledgeable about Containerization tools e.g. Docker, Kubernetes or Rancher etc.
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 30% of the time
• Previous experience working as a TAM supporting mid-market and/or Enterprise customers in the cloud space
• Experienced using Datadog and/or other cloud monitoring tools

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:

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

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

You came to Tenable for a career, not just a job. We want you to succeed in the role you have today, but also know there are opportunities for you to grow and develop professionally.

Your Role:

Tenable is looking for a Senior Software Engineer to join our Data Integrations team. Our team is focused on designing, developing, and maintaining state-of-the art solutions for data ingestion, data modelling and data serving within the Tenable One platform. As a Senior Software Engineer on the Data Integration team, you will have the opportunity to be part of implementing and maintaining a globally distributed and highly scalable cloud-native data platform using modern technologies and programming languages.

Your Opportunity:

• Work cross-functionally with other developers, product owners and various Tenable teams to design, develop and maintain cloud services for Data Platform services.
• Promote clear and simple software design while actively driving the team toward better practices and solutions.
• Support a true DevOps / CICD software delivery model.
• Promote high quality aimed at areas such as security, reliability, testability and
• maintainability.
• Drive innovation by contributing new ideas for our processes, tools, and technologies.
• Coach and mentor mid-level and junior staff.

What You'll Need:

• B.S. degree in Computer Science or a directly related field, or equivalent work experience.
• 5+ years of software development experience in enterprise-level, backend systems.
• Experience developing in languages such as: Java or Kotlin.
• Experience working and supporting cloud-native workloads specifically with Kubernetes, docker and container registries.
• Experience with infrastructure as code e.g. Terraform, CloudFormation.
• Strong experience with AWS services, including S3, DynamoDB, EC2, and Aurora,
• preferably via IAC, SDK and/or API.
• Experience with CI/CD pipelines and tools like Jenkins.
• Proficiency with Git for source code version control.
• Experience designing features end to end, including rollout and monitoring.
• Accountability for the behavior of your software in production.
• Experience in working in an Agile team, and an enthusiasm for working collaboratively within and across product teams.
• The ability to work independently and as a part of a team, and to lead/drive projects as necessary.
• Experience coaching and leading mid-level and junior staff in the design, implementation, and execution of highly technical development projects.
• The desire to continuously learn and be exposed to new technologies.

• Experience with data transfer and streaming technologies such as Kafka, Flink, NiFi, Kinesis, etc.
• Experience with cloud data platforms such as Snowflake, Databricks, Clickhouse, etc.
• Experience with data file formats like Parquet and Avro. Experience with Iceberg would be a plus.
• Understanding of SQL scripting and procedures with relational databases.
• History of open-source contributions.

#LI-AV1

#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 are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. A Technical Account Manager (TAM) will continue to provide hands-on technical services to our largest customers by supporting, adopting and providing guidance over the comprehensive suite of products and features available at Datadog. A TAM is held in high regard as an expert and trusted advisor for how IT Operations translates to business value.

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:

• Advise on technical support and product adoption for customers in line with pre-sales, post-sales and the renewal processes
• Analyze customer’s IT Operations environment on a regular basis and provide recommendations that will maximize Datadog’s value.
• Be the customer’s advocate by knowing their goals and use cases then suggesting process changes, product adoption, configuration and additional features to meet their requirements
• Participate and prepare for Monthly and Quarterly Business Reviews with customers
• Collaborate with Datadog’s product management, engineering and technical services teams to help identify new features and products
• Continuously evolve best practice to technical product adoption and customer success

Who You Are:

• Someone with a solid technical grounding and hands-on experience of IT Operations
• Confident in your hands on experience AWS, Azure or GCP
• Comfortable scripting languages like Python, Javascript, Ruby, Perl, Go, PHP, or Chef/Puppet etc.
• Skilled in using CI/CD tools e.g. Jenkins, Gitlab etc.
• Knowledgeable about Containerization tools e.g. Docker, Kubernetes or Rancher etc.
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 30% of the time
• Previous experience working as a TAM supporting mid-market and/or Enterprise customers in the cloud space
• Experienced using Datadog and/or other cloud monitoring tools

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:

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

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

We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. We share our technical and product expertise with customers through demos, presentations, technical evaluations, and ongoing support. Technical solutions is a growing global team that collaborates constantly to share knowledge and continuously advance our technical skillset.

The Logs family of products represents a strategic evolution in how organizations manage and analyze logs at scale while meeting stringent data residency, compliance, and cost requirements. The Product Solutions Architect (PSA) will work closely with Datadog customers, Logs Product team, and the CloudPrem product team to architect, implement best practices, and drive adoption of the log management suite.

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:

• Serve as the Product Expert on Logs, CloudPrem, and Observability Pipelines
• Offer guidance on architecture choices, data collection, and best practices to large Enterprise customers as they adopt these Datadog services across the organization at scale
• Design and validate hands-on, production-ready architectures spanning cloud infrastructure, Kubernetes platforms, and customer-managed environments
• Actively identify opportunities to simplify, optimize, and standardize deployment patterns, reducing operational complexity for customers through architectural guidance and best practices.
• Be a Trusted Advisor to Product Management by providing high quality feedback based on your field experience working closely with our Support, Partners, and Customers
• Capture repeat customer use cases and solutions and in turn publish Reference Architectures, automation patterns, and Implementation Guides for Datadog prospect and customer consumption
• Build world class training material, solutions briefs, blogs, and documentation to the wider Datadog field technical teams over the latest product features and capabilities
• Collaborate with other teams at Datadog including Marketing, Sales, Community, Documentation, and Evangelism to ensure the success of the Log Management product family
• Exercise the products you represent by building hands-on proof of concepts, small scale deployments  to validate solutions and reproduce customer environments
• Engage deeply with customers, feeling their operational pain points and driving solutions that measurably improve reliability, scalability, and day-to-day operations

Who You Are:

• Someone with strong hands-on experience with tools such as Kubernetes, including cluster architecture, networking, storage, and operational best practices.
• Someone with strong knowledge of cloud infrastructure fundamentals, including networking, compute, storage, and distributed system design.
• Someone familiar with Security, Governance, and Compliance requirements for industry verticals
• Someone who can dive deep into our Codebase, SDKs, and GitHub workflows to understand, debug, and influence product behavior
• Experience with languages like Python and/or Rust, and file formats such as JSON and YAML
• A self-starter, tech-savvy professional, who is comfortable working with bleeding edge technology and processes, even if it hasn’t been well defined
• A deep learner and a Subject Matter Expert today that has built advocacy and knowledge across multiple teams with the knowledge you possess 
• Fluent in understanding the observability market domain, competition, technological shifts, and customer needs
• Someone who values getting things done, taking ownership from problem definition through implementation and outcome
• Highly detail-oriented, especially when working on architectures, documentation, and customer-facing solutions
• A person who possesses exceptional listening and consultative skills, for both internal and external audiences
• Experienced working with customers in high pressure situations where the solution is sometimes not obvious - caring about customer pain and motivated to solve hard problems on their behalf
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train, or air up to 40% of the time 

Bonus Points:

• Successful track record with 5+ years experience working as an Architect or Consultant 
• Experience using Datadog and/or other observability tools in an SRE or DevOps capacity
• Have recent experience deploying solutions in production environments at scale
• Strong knowledge or experience with Splunk, Elastic, Opensearch, SumoLogic, Vector, Cribl, Quickwit

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:

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

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

About the role:

Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments.  We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators.

The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.

Strong candidates may also have experience with:

• High-performance, large-scale distributed systems
• Implementing and deploying machine learning systems at scale
• Load balancing, request routing, or traffic management systems
• LLM inference optimization, batching, and caching strategies
• Kubernetes and cloud infrastructure (AWS, GCP)
• Python or Rust

You may be a good fit if you:

• Have significant software engineering experience, particularly with distributed systems
• Are results-oriented, with a bias towards flexibility and impact
• Pick up slack, even if it goes outside your job description
• Want to learn more about machine learning systems and infrastructure
• Thrive in environments where technical excellence directly drives both business results and research breakthroughs
• Care about the societal impacts of your work

Representative projects across the org:

• Designing intelligent routing algorithms that optimize request distribution across thousands of accelerators
• Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads
• Building production-grade deployment pipelines for releasing new models to millions of users
• Integrating new AI accelerator platforms to maintain our hardware-agnostic competitive advantage
• Contributing to new inference features (e.g., structured sampling, prompt caching)
• Supporting inference for new model architectures
• Analyzing observability data to tune performance based on real-world production workloads
• Managing multi-region deployments and geographic routing for global customers

Deadline to apply: None. Applications will be reviewed on a rolling basis.

Team Overview:

The Amplify Engineering team builds internal tools, platforms, and AI-powered automation that help Klaviyos work more efficiently and at scale as the company grows. We partner across the organisation, including Sales, Marketing, Engineering & Product, Customer Service & Success, and Finance, to solve real operational problems with practical, well-designed software.

Our work spans internal applications, 3rd-party integrations, interactive dashboards, CMS integrations, and robust AI systems and agents that automate repetitive tasks, surface the right information at the right time, and help teams make better decisions. We operate in tight feedback loops with our internal customers, shipping quickly, learning fast, and seeing the impact of our work immediately in how deals move faster, tickets resolve sooner, and launches go more smoothly.

This role is for builders and leaders who enjoy turning real-world pain points into reliable, scalable solutions. The work is highly visible and deeply impactful, shaping how thousands of Klaviyos get their work done every day through fast iteration, high ownership, and clear outcomes.

How You’ll Make an Impact:

The Amplify team builds the internal platforms, automation, and AI-driven systems that power how Klaviyos work every day. As an Engineering Manager, you will:

• Lead one or more engineering teams and help shape the technical direction for internal tools and platforms that improve efficiency, automation, and productivity.
• Lead a portfolio of internal systems supporting Sales, Marketing, Customer Service & Success, R&D, and Finance, including AI-powered workflows, internal web applications, data and event pipelines, third-party integrations, and support tooling.
• Balance technical leadership and people leadership, setting direction, modelling best practices, and enabling teams to deliver effectively through others.
• Partner closely with engineers, product managers, designers, and senior stakeholders to translate organisational challenges into scalable, high-quality software solutions.
• Learn and evolve Klaviyo’s end-to-end internal workflows, scaling platforms and processes to support the company’s next phase of growth.
• Foster a culture of collaboration, systems thinking, technical excellence, and curiosity around new technologies, including AI.
• Make a direct and visible impact on how thousands of Klaviyos get their work done every day.

Who You Are:

• You are passionate about building software for the long term, balancing technical quality, delivery pace, and business impact.
• BA or BS Degree in Computer Science, related field, or equivalent experience.
• You have 5+ years of hands-on software development experience building and operating highly available, full-stack SaaS products, with a solid understanding of modern web architectures and scalable, multi-tenant systems.
• You have 3+ years of experience as an engineering manager, leading high-performing teams that deliver complex, cross-team initiatives using an agile, iterative approach.
• You are a technically curious leader with hands-on experience using modern AI tools and workflows (e.g. OpenAI, Anthropic, Gemini, n8n) and an interest in helping teams apply them thoughtfully to improve productivity and outcomes.
• You are comfortable setting technical direction and standards, working with peers and senior leadership to evolve architecture, development practices, and shared engineering processes.
• You have experience owning work end-to-end – from design through delivery and deployment, including planning, estimation, and managing delivery risks.
• You are an effective cross-functional communicator, able to work closely with product, design, and business partners to align priorities and move work forward.
• You are a people-first leader who enjoys hiring, onboarding, mentoring, and developing engineers, creating an environment where individuals and teams can grow and do their best work.
• You enjoy leading teams that build internal platforms, tools, or systems that improve productivity, automation, and operational efficiency across an organisation.
• You like to question convention, continuously improve how work gets done, and thrive in small, autonomous teams that ship early and often in close partnership with their stakeholders.

Nice to have:

• Experience building internal tools, platforms, or automation for developers and/or non-technical teams.
• Hands-on experience in full-stack environments, including diagnosing and improving application performance.
• Strong practical experience using AI tools and patterns (e.g. APIs/SDKs, prompt and context design, automated or agentic workflows, RAG, and evaluation or monitoring).
• Experience working with cloud infrastructure (AWS preferred), including infrastructure-as-code and containerised environments (Terraform and Kubernetes). Familiarity with GCP or Azure is a plus.

30 / 60 / 90 / 6-12 Month Plan:

30 Days: Build context across the Amplify domain by learning the teams’ areas of ownership, architecture, and core workflows. Establish trust with engineers and partners while contributing to technical discussions and trade-off decisions.

60 Days: Assess team roadmaps and delivery practices, incorporating input from engineers and stakeholders. Align priorities with the technical direction and business goals you are helping to shape, and begin contributing to hiring and team growth.

90 Days: Improve how teams and stakeholders work by introducing or refining tools, processes, or architectural approaches. Provide technical leadership through reviews, guidance, and targeted hands-on contributions where helpful.

6-12 months: Be a trusted owner of your teams’ platforms and systems, known for delivering meaningful, scalable impact. Partner closely with product and design to drive adoption of Amplify systems and evolve them to support Klaviyo’s continued growth.

Technologies We Use:

Klaviyo’s platform is primarily built with Python and React and runs on AWS. New hires join us from a wide range of technical backgrounds and are supported in learning our stack. Core technologies include:

• Python / Django / FastAPI
• Typescript / React
• MySQL / Redis / Memcached
• RabbitMQ / Celery / Apache Kafka / Apache Pulsar
• AWS / Terraform / Kubernetes

Location & Work Model

This role is based in Dublin, Ireland, and follows a hybrid working model. Klaviyo supports work authorization and relocation for this position.

At Klaviyo, we enjoy tackling meaningful engineering challenges and value people who take ownership, learn continuously, and collaborate openly. We are committed to building inclusive teams and encourage applications from candidates of all backgrounds.

Klaviyo is growing fast and we have openings for all skill levels across all of our teams. Learn more about our engineering culture at https://klaviyo.tech

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

#indeedDUB

Note: if you are an intern, new grad, or staff applicant, please do not apply using this link and visit our jobs page for those specific postings.

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 Organization 

The Payments organization focuses on developing products and platforms that enable users to accept payments from customers efficiently. This includes building APIs for processing payments, enabling regional, non-card payment options, and extending Stripe's capabilities to make it easy for businesses to accept in-person payments. The Risk Engineering team develops products that minimize financial and regulatory risks while ensuring a seamless user experience, thereby safeguarding Stripe’s brand and financial stability. 

Team Matching: exact team matching for one of the subteams within this org will begin during final stages. Please note we may also consider you for different orgs based on your experience, location, etc. More information on our team matching process can be found here.  

What you’ll do

We’re looking for Backend engineers who want to make an impact on managing money at a global scale with a passion for building ergonomic APIs. You’ll play a key role in extending our balance management platform and in building out a new funds accessibility platform leveraged by enterprises and SMBs alike. Our team collaborates with many cross-functional teams – from Infrastructure to Product –  at Stripe to deliver innovative solutions that address evolving user needs.

Responsibilities

• Scope, design, build, and maintain APIs, services, and large-scale systems that reliably and efficiently handle billions of money movement requests
• Debug and solve critical production issues across services and multiple levels of the stack
• Mentor engineers to help them grow
• Collaborate with stakeholders across the company to build new features at large-scale, while improving internal engineering standards, tooling, and processes
• Collaborate effectively in a distributed and hybrid team, maintaining open communication and strong connections with colleagues

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

• 2-12+ years of industry software engineering experience (does not include internships nor includes co-ops)
• Strong coding skills in any programming language (we understand new languages can be learned on the job so our interview process is language agnostic)
• Strong collaboration skills, can work across workstreams within your team and contribute to your peers’ success
• Have the ability to thrive on a high level of autonomy, responsibility, and think of yourself as entrepreneurial
• Interest in working as a generalist across varying technologies and stacks to solve problems and delight both internal and external users

Preferred Qualifications

• Experience with large-scale financial tracking systems
• Good understanding and practical knowledge in cloud based services (e.g. gRPC, GraphQL, Docker/Kubernetes, cloud services such as AWS, etc.) 

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Team Overview:

The Amplify Engineering team builds internal tools, platforms, and AI-powered automation that help Klaviyos work more efficiently and at scale as the company grows. We partner across the organisation, including Sales, Marketing, Engineering & Product, Customer Service & Success, and Finance, to solve real operational problems with practical, well-designed software.

Our work spans internal applications, 3rd-party integrations, interactive dashboards, CMS integrations, and robust AI systems and agents that automate repetitive tasks, surface the right information at the right time, and help teams make better decisions. We operate in tight feedback loops with our internal customers, shipping quickly, learning fast, and seeing the impact of our work immediately in how deals move faster, tickets resolve sooner, and launches go more smoothly.

This role is for software engineers who enjoy turning real-world problems into reliable, scalable solutions. The work is highly visible and has a direct impact on how thousands of Klaviyos get their work done every day.

How You’ll Make an Impact:

The Amplify team builds the internal platforms, automation, and AI-driven systems that power how Klaviyos work every day. As an AI Software Engineer II on Amplify, you will:

• Design, build, and maintain internal products and platforms, including internal web applications, APIs, data and event pipelines, and AI-powered workflows used daily by Sales, Marketing, Customer Service & Success, R&D, and Finance teams. You will own features and small-to-medium projects end to end, from design through deployment and iteration.
• Deliver project work with increasing autonomy and scope. You will break down problems into actionable pieces, refine requirements with your team, and collaborate to ship high-quality solutions that meet reliability and performance expectations.
• Work closely with internal customers to understand their workflows and constraints, and translate operational challenges into pragmatic, maintainable software and AI-enabled tools that improve productivity and reliability.
• Contribute to the technical and architectural evolution of Amplify’s systems by participating in design discussions, proposing improvements, and helping ensure our platforms remain scalable, observable, and reliable as usage grows.
• Take responsibility for the quality and operational health of the code you ship, including testing, deployment, monitoring, debugging issues in development and production, and participating in on-call rotations for the systems your team owns.
• Use modern AI tools as part of your day-to-day engineering workflow, including for coding, testing, documentation, and experimentation, and share learnings to help the team continuously improve how it works with AI.
• Help improve the developer experience and engineering practices on Amplify by contributing to tooling, CI/CD, automation, tests, and shared utilities that support consistent, high-quality delivery.
• Collaborate closely with Product, Design, Data, and operational partners, contributing to discovery, evaluating trade-offs, and ensuring the work you deliver is tied to clear success criteria and business outcomes.

Who You Are:

• You care about building software for the long term, balancing technical quality, delivery pace, and business impact.
• You have strong hands-on experience building and operating full-stack or backend-focused software systems, including SaaS products, platforms, or internal tools.
• You can take a well-defined feature or small-to-medium project from design through implementation, testing, rollout, and ongoing maintenance, seeking input when needed and moving work forward independently.
• You are comfortable questioning and refining requirements, working with product managers and stakeholders to clarify scope, identify edge cases, and propose pragmatic solutions.
• You have experience in at least one area of modern web engineering such as backend services, data pipelines, internal tools, integrations, or AI-enabled workflows, and understand how to build secure, scalable, and maintainable systems.
• You are comfortable using AI-powered tools to support your development workflow and are interested in continuing to grow your AI skills over time.
• You care about operational excellence and are comfortable debugging issues, improving tests, adding logging and metrics, and working within reliability goals.
• You are a clear communicator and collaborative teammate, contributing thoughtfully to technical discussions, writing clear tickets or lightweight design docs, and keeping others informed on progress and risks.
• You enjoy working in small, autonomous, agile teams, shipping iteratively, and partnering closely with product managers and other engineers to deliver meaningful outcomes.
• You are motivated to continuously improve how things work, whether that is tooling, workflows, architecture, or team practices.

Nice to Have:

• Experience building internal tools, platforms, or automations for developers and/or non-technical stakeholders, with a track record of improving reliability, productivity, or operational efficiency.
• Hands-on experience in full-stack environments, including diagnosing and improving application performance, database queries, and complex, multi-service workflows.
• Practical experience building or integrating AI-powered systems and agents; e.g., workflows using LLM APIs/SDKs, agentic or automated workflows, RAG pipelines, or evaluation/monitoring frameworks.
• Familiarity with cloud infrastructure (AWS preferred), infrastructure-as-code (Terraform), and containerized environments (Kubernetes), including how to design services that run reliably at scale in those environments.

Technologies We Use:

Klaviyo’s platform is primarily built with Python and React and runs on AWS. Engineers join us from a wide range of technical backgrounds and are supported in learning our stack. Core technologies include:

• Python / Django / FastAPI
• Typescript / React
• MySQL / Redis / Memcached
• RabbitMQ / Celery / Apache Kafka / Apache Pulsar
• AWS / Terraform / Kubernetes

Location & Work Model:

This role is based in Dublin, Ireland and follows a hybrid working model. Klaviyo supports work authorization and relocation for this position.

At Klaviyo, we enjoy tackling meaningful engineering challenges and value people who take ownership, learn continuously, and collaborate openly. We are committed to building inclusive teams and encourage applications from candidates of all backgrounds.

Klaviyo is growing fast and we have openings for all skill levels across all of our teams. Learn more about our engineering culture at https://klaviyo.tech

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

Team Overview:

The Amplify Engineering team builds internal tools, platforms, and AI-powered automation that help Klaviyos work more efficiently and at scale as the company grows. We partner across the organisation, including Sales, Marketing, Engineering & Product, Customer Service & Success, and Finance, to solve real operational problems with practical, well-designed software.

Our work spans internal applications, 3rd-party integrations, interactive dashboards, CMS integrations, and robust AI systems and agents that automate repetitive tasks, surface the right information at the right time, and help teams make better decisions. We operate in tight feedback loops with our internal customers, shipping quickly, learning fast, and seeing the impact of our work immediately in how deals move faster, tickets resolve sooner, and launches go more smoothly.

This role is for lead engineers who enjoy turning real-world problems into reliable, scalable solutions. The work is highly visible and has a direct impact on how thousands of Klaviyos get their work done every day.

How You’ll Make an Impact:

The Amplify team builds the internal platforms, automation, and AI-driven systems that power how Klaviyos work every day. As a Lead AI Software Engineer on Amplify, you will:

• Provide technical oversight and direction for a portfolio of Amplify systems, including internal web applications, APIs, data and event pipelines, and AI-powered workflows used daily by Sales, Marketing, Customer Service & Success, R&D, and Finance teams. You will help ensure they are reliable, scalable, secure, and straightforward to evolve.
• Formulate and drive a forward-looking technical vision for key Amplify domains in partnership with your Engineering Manager, Product, Data, and cross-functional stakeholders, aligning that vision with our AI-first strategy and the business outcomes we are accountable for.
• Lead the end to end lifecycle of complex, multi component projects and platforms that span multiple internal customers and engineering teams, from discovery and technical design through implementation, rollout, and long term ownership.
• Act as the primary technical interface between your areas of ownership in Amplify and the rest of engineering, helping clarify requirements, reduce technical ambiguity and risk, and ensure the team delivers roadmap and OKR commitments on time with the right quality bar.
• Take responsibility for the technical and architectural evolution of multiple significant domains within Amplify, anticipating scalability, reliability, security, and observability needs as usage grows and new use cases emerge.
• Define, refine, and uphold operational standards for the systems you and your team own, including SLOs, monitoring and alerting, incident response practices, and post incident learning that continually improves our operational excellence.
• Create, teach, and improve shared engineering processes, patterns, and internal platforms that make it easier for Amplify and other teams across Klaviyo to build high quality internal tools and AI-powered systems consistently.
• Use modern AI tools as part of your day-to-day engineering workflow and help the team adopt AI effectively, from design and coding through testing, documentation, and evaluation. You will help establish sensible guardrails, evaluation practices, and patterns for AI-first development.
• Work through influence and delegation to get work done, setting clear technical direction, breaking down projects into actionable workstreams, and enabling other engineers to deliver successfully.
• Mentor and coach other engineers across levels through design reviews, pairing, and thoughtful feedback. You will help grow future technical leaders, raise the technical bar for the team, and ensure knowledge is shared rather than concentrated.
• Collaborate closely with Product, Design, Data, and operational partners to define problems, shape trade offs, and agree on success metrics, ensuring Amplify’s work focuses on the highest value opportunities and that outcomes are clearly measured.
• Represent Amplify’s systems and strategy in broader engineering forums, contributing to architectural discussions, technical RFCs, and cross team initiatives, and helping ensure our internal platforms fit well into the wider Klaviyo ecosystem.

Who You Are:

• You care deeply about building software and platforms for the long term, balancing technical quality, delivery pace, and measurable business impact, and you are comfortable making and explaining trade offs at that intersection.
• You have strong hands on experience building and operating highly available, full stack or backend focused SaaS systems, and have been responsible for the health and evolution of multiple services or product areas, not just a single application.
• You have led delivery of business critical projects that span multiple engineers and months, including discovery, technical design, implementation, rollout, and ongoing maintenance. You are comfortable scrutinising requirements, reducing ambiguity, and setting technical direction for others.
• You have deep expertise in several areas of modern web engineering such as backend services, data pipelines, internal platforms, or AI enabled systems, and a strong understanding of scalable, multi-tenant architectures and the operational realities of running them in production.
• You regularly use AI powered tools in your development workflow and are interested in shaping how a team or organisation uses AI thoughtfully to improve engineering productivity, system capabilities, and internal customer experiences.
• You take ownership of operational excellence for the systems you and your team build, including performance, reliability, observability, and on-call participation where required. You are comfortable defining and maintaining SLOs and holding systems to them.
• You are effective at working through influence and delegation. You know when to keep a task for yourself and when to hand it to others, and you enjoy creating the clarity, patterns, and guardrails that let other engineers move quickly and safely.
• You enjoy questioning convention and continuously improving how things work, whether that is architecture, tooling, workflows, or team processes, and you are comfortable introducing change in a way that brings people along with you.
• You are a clear communicator and collaborative teammate, comfortable leading technical discussions, writing design docs or RFCs, and keeping stakeholders aligned from early discovery through delivery and follow up.
• You enjoy working in small, autonomous, agile teams, shipping incrementally, and partnering closely with product managers, data partners, and other engineers to deliver better outcomes for internal customers.

Nice to Have:

• Experience building internal tools, platforms, or automations for developers and or non technical stakeholders, with a track record of improving reliability, productivity, or operational efficiency across multiple teams.
• Experience providing technical leadership across several related systems or domains, including defining technical vision, setting design patterns, and aligning multiple teams on shared approaches.
• Practical experience building or integrating AI powered systems and agents such as workflows using LLM APIs or SDKs, agentic or automated workflows, retrieval augmented generation pipelines, or evaluation and monitoring frameworks for AI systems.
• Experience working with cloud infrastructure (AWS preferred), infrastructure as code (Terraform), and containerised environments (Kubernetes), and designing services that run reliably at scale in those environments.
• Experience partnering closely with customer service & support, go to market, or operations teams to understand complex workflows and build internal tools that drive measurable efficiency gains.

Technologies We Use:

Klaviyo’s platform is primarily built with Python and React and runs on AWS. Engineers join us from a wide range of technical backgrounds and are supported in learning our stack. Core technologies include:

• Python / Django / FastAPI
• Typescript / React
• MySQL / Redis / Memcached
• RabbitMQ / Celery / Apache Kafka / Apache Pulsar
• AWS / Terraform / Kubernetes

Location & Work Model

This role is based in Dublin, Ireland and follows a hybrid working model. Klaviyo supports work authorization and relocation for this position.

At Klaviyo, we enjoy tackling meaningful engineering challenges and value people who take ownership, learn continuously, and collaborate openly. We are committed to building inclusive teams and encourage applications from candidates of all backgrounds.

Klaviyo is growing fast and we have openings for all skill levels across all of our teams. Learn more about our engineering culture at https://klaviyo.tech

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

#indeedDUB

Team Overview:

The Amplify Engineering team builds internal tools, platforms, and AI-powered automation that help Klaviyos work more efficiently and at scale as the company grows. We partner across the organisation, including Sales, Marketing, Engineering & Product, Customer Service & Success, and Finance, to solve real operational problems with practical, well-designed software.

Our work spans internal applications, 3rd-party integrations, interactive dashboards, CMS integrations, and robust AI systems and agents that automate repetitive tasks, surface the right information at the right time, and help teams make better decisions. We operate in tight feedback loops with our internal customers, shipping quickly, learning fast, and seeing the impact of our work immediately in how deals move faster, tickets resolve sooner, and launches go more smoothly.

This role is for senior engineers who enjoy turning real-world problems into reliable, scalable solutions. The work is highly visible and has a direct impact on how thousands of Klaviyos get their work done every day.

How You’ll Make an Impact:

The Amplify team builds the internal platforms, automation, and AI-driven systems that power how Klaviyos work every day. As a Senior AI Software Engineer on Amplify, you will:

• Design, build, and own complex internal products and platforms, including internal web applications, APIs, data and event pipelines, and AI-powered workflows used daily by Sales, Marketing, Customer Service & Success, R&D, and Finance teams.
• Lead the end-to-end lifecycle of projects and features – from discovery and technical design through implementation, rollout, and long-term ownership.
• Partner closely with internal customers to understand their workflows and constraints, and translate real operational challenges into scalable, maintainable solutions that measurably improve productivity, quality, and reliability.
• Take ownership of the technical and architectural evolution of parts of the Amplify platform, anticipating scalability, reliability, and observability needs as usage grows.
• Define and maintain operational standards for the systems you own, including SLOs, monitoring, incident response, and follow-up on root-cause analysis.
• Use modern AI tools as part of your day-to-day engineering workflow (e.g. LLM-based tooling for design, coding, testing, and documentation), and help shape best practices for how the team applies AI responsibly and effectively.
• Contribute to shared patterns, tooling, and processes that make it easier for teams across Klaviyo to build high-quality internal tools and AI-powered systems consistently.
• Mentor and support other engineers through design reviews, pairing, and constructive feedback, leaving the codebase and systems better than you found them.
• Collaborate closely with Product, Design, Data, and operational partners to define requirements, trade-offs, and success metrics, ensuring Amplify’s work focuses on the highest-value problems.

Who You Are:

• You care deeply about building software for the long term, balancing technical quality, delivery pace, and business impact.
• You have strong hands-on experience building and operating highly available, full-stack SaaS systems, and are comfortable owning complex problems end to end.
• You’ve led the delivery of significant projects or features independently, including discovery, technical design, implementation, rollout, and ongoing maintenance, and you’re comfortable providing technical direction to others.
• You have deep expertise in one or more areas of modern web engineering (e.g. backend services, data pipelines, internal platforms, or AI-enabled systems) and a solid understanding of scalable, multi-tenant architectures.
• You regularly use AI-powered tools in your development workflow and are curious about applying AI thoughtfully to improve engineering productivity and system capabilities.
• You take ownership of operational excellence for the systems you build, including performance, reliability, observability, and on-call participation where required.
• You enjoy questioning convention and continuously improving how things work, whether that’s architecture, tooling, workflows, or team practices.
• You are a clear communicator and collaborative teammate, comfortable leading technical discussions, writing design docs or RFCs, and keeping stakeholders aligned.
• You enjoy working in small, autonomous, agile teams, shipping incrementally, and partnering closely with product managers and other engineers to deliver better outcomes.

Nice to have:

• Experience building internal tools, platforms, or automations for developers and/or non-technical stakeholders, with a track record of improving reliability, productivity, or operational efficiency.
• Hands-on experience in full-stack environments, including diagnosing and improving application performance, database queries, and complex, multi-service workflows.
• Practical experience building or integrating AI-powered systems and agents; e.g., workflows using LLM APIs/SDKs, agentic or automated workflows, RAG pipelines, or evaluation/monitoring frameworks.
• Experience working with cloud infrastructure (AWS preferred), infrastructure-as-code (Terraform), and containerised environments (Kubernetes), and designing services that run reliably at scale.

Technologies We Use:

Klaviyo’s platform is primarily built with Python and React and runs on AWS. Engineers join us from a wide range of technical backgrounds and are supported in learning our stack. Core technologies include:

• Python / Django / FastAPI
• Typescript / React
• MySQL / Redis / Memcached
• RabbitMQ / Celery / Apache Kafka / Apache Pulsar
• AWS / Terraform / Kubernetes

Location & Work Model:

This role is based in Dublin, Ireland and follows a hybrid working model. Klaviyo supports work authorization and relocation for this position.

At Klaviyo, we enjoy tackling meaningful engineering challenges and value people who take ownership, learn continuously, and collaborate openly. We are committed to building inclusive teams and encourage applications from candidates of all backgrounds.

Klaviyo is growing fast and we have openings for all skill levels across all of our teams. Learn more about our engineering culture at https://klaviyo.tech

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

The Impact You'll Drive

As a Senior ML Engineer (Speech Synthesis), you’ll be a founding member of the team building Telnyx’s next-generation speech synthesis systems. This is a greenfield opportunity — you’ll define the stack, architecture, and best practices for training and deploying state-of-the-art multilingual text-to-speech (TTS) models that power our voice AI agents.

You’ll build everything from distributed training pipelines to inference services that generate ultra-low-latency, lifelike voices across dozens of languages. Your work will bridge research and production — shaping how millions of people experience real-time conversational AI.

What You’ll Work On

• Own the stack from day one: Design and implement the ML training and inference pipelines for multilingual speech synthesis.
• Low-latency TTS: Engineer systems optimized for real-time, streaming speech generation with sub-100ms response targets.
• Train cutting-edge models: Build and fine-tune multilingual TTS systems using modern architectures — including LLM-based, diffusion, and flow-matching approaches.
• Massive-scale data processing: Develop pipelines for ingesting, aligning, and normalizing text, audio, and phonetic data across dozens of languages.
• Experimentation at scale: Run distributed training across multi-node GPU clusters, tracking results and iterating quickly.
• Cross-functional collaboration: Work with infrastructure and voice platform teams to deploy models that scale globally.
• Research meets production: Evaluate emerging techniques (LLM-guided synthesis, zero/few-shot voice cloning, full-duplex modeling) and bring them to life in production-grade systems.

What You’ll Work With

• Infrastructure: Docker, Kubernetes, Ray, Kubeflow, MLflow, Weights & Biases
• Data Systems: Kafka, Redis, PostgreSQL, Parquet
• You’ll define it: You’ll help select and implement the stack that supports distributed training, data processing, and inference for global deployment.

What We’re Looking For

• 6+ years of experience in machine learning or speech systems engineering
• Hands-on expertise with neural TTS, speech synthesis, or adjacent areas (ASR, voice cloning, multilingual modeling)
• You’ve obsessed over one or two hard problems, whether it’s building multilingual TTS from noisy data, teaching LLMs to speak, designing self-supervised audio encoders, or making diffusion models run in real time.
• Experience with LLM-based approaches to speech synthesis or prosody control
• Strong proficiency in Python and PyTorch
• Ability to deploy models efficiently (ONNX, TensorRT)
• Experience leading small teams and defining technical direction or team executables
• Production mindset: You build systems that run fast, stay stable, and are easy to maintain

Why Telnyx

You’ll be joining a company where voice, infrastructure, and AI converge. Telnyx is building the foundation for real-time, intelligent global communications — and your work on multilingual TTS will be at the core of that vision.



#LI-KG1
#LI-REMOTE

Our backend team is building a highly-available and distributed data pipeline that powers Telnyx products like Voice, Messaging and Wireless. We leverage the Telnyx private backbone network to build a cloud-agnostic data platform that processes thousands of messages per second.

With our lean team, we're currently running and managing more than 30 dockerized microservices deployed in multiple regions in the U.S. and Europe. We are looking for a senior Java backend engineer with deep knowledge of Java Core.

In this role you will

• Work on 30+ microservices implemented in Java 11 and Scala that process, aggregate and expose all data our telecommunication and messaging engines generate
• Improve performance of our pipeline — we currently process 10k messages/sec and are growing
• Architect our services and pipelines so they work with minimum latency in all our locations around the world (U.S., E.U., Australia, South America)
• Implement fraud detection processes with machine learning (Kafka and Kafka Streams)
• Deploy services to multi-cloud Kubernetes environments to achieve 99.999% uptime
• Push code to production multiple times a day

What we're looking for

• Degree in Computer Science, Information Technology, or equivalent work experience
• 4+ years of experience with Java and its ecosystem of tooling
• Experience with at least one of these databases: Cassandra, ClickHouse, or OpenSearch
• Experience with AI tooling, or a strong willingness to learn

Nice to have

• Experience with Scala or another functional programming language
• Experience with Linux, Git, and Docker in a CI environment
• Experience with distributed systems and systems that maintain "five nines" (99.999%) of uptime

LI-KG1
LI-DUBLIN
LI-BRAZIL

Position Overview

DevOps Engineers are critical when it comes to keeping both our customers and engineering team running. As part of the DevOps group you will work on products critical to our operations and software that proactively detects issues with systems in the data center, in the cloud, or at customer sites.

Responsibilities

DevOps Engineers will have a variety of responsibilities which may include things like:

• Design and implement pipelines and tools to ensure continuous integration, delivery, and deployment for our products
• Define and implement tools that enable other teams to follow DevOps best practices
• Own and deliver a suite of platform services consumed by internal stakeholders across teams and functions
• Work on cloud environments ensuring reliability and availability
• Ensure production deployments are fast, reliable, and safe
• Work with geo-distributed development teams to improve quality and time-to deploy
• Automate, Automate, Automate

Qualifications

• Required
  • Relevant Bachelor's degree (Computer Science, Engineering, etc.)
  • 1-2 years hands-on DevOps/SRE experience 
  • Belief in DevOps and Agile principles
  • Zealous about automation
  • Comfort in dealing with Cloud deployments, networking, and security best practices
  • CI/CD pipeline experience (GitHub Actions, Jenkins, etc.)
  • Hands on experience on Amazon Web Services (AWS)
  • Hands on experience with Kubernetes
  • Linux system proficiency
• Preferred
  • Strong container/serverless experience
  • Proficient knowledge of Python language
  • Experience on Hashicorp ecosystem - Terraform, Packer, Consul, Vault
  • Experience with telemetry tools/pipelines (metrics, logs, and traces)
  • Experience with RDS databases

Role overview

The International team is seeking a talented and driven Senior Software Development Engineer to join CarGurus' new Dublin office and work on exciting product initiatives for our Canadian and UK markets and play a key role in establishing the office’s culture.  In this role, you’ll be responsible for the full software development lifecycle – across both the frontend and backend – collaborating with Engineering and Product peers to design innovative solutions and tackle complex challenges for our dealer-facing products.

We are looking for candidates who are able to learn and adapt quickly, and collaborate with other engineers to deliver solutions. Some examples of potential project opportunities:

• Building new, full-stack features for dealer products from the ground up
• Integrating with existing services and expanding functionality using React, TypeScript, and Java
• Designing and implementing integrations with third-party APIs and partners
• Modernizing and implementing current systems to leverage cloud technologies like AWS

As an engineer on this team, you will drive projects from conception to completion, working closely with other engineers and product partners to deliver impactful solutions for the international business. No need to be a car expert—we’re more interested in your passion for engineering and your ability to innovate!

What you'll do

• Design, develop, and maintain scalable full-stack features and APIs using Java, React, and TypeScript that support our international dealer products.
• Collaborate closely with product managers, designers, and other engineers across the organization to deliver and iterate on high-quality software solutions for our Canadian and UK markets.
• Contribute to technical design discussions and architectural decisions.
• Own services from ideation through deployment and ongoing maintenance in production environments.
• Ensure systems are secure, maintainable, and highly available, following best practices in performance optimization and code quality.
• Troubleshoot and resolve complex production issues, using observability tools to understand system health and performance.
• Mentor junior engineers, provide high-quality code review guidance, and contribute to establishing the team processes and engineering standards for the new Dublin office.

What you'll bring

• 5+ years of experience in full-stack software development.
• Deep expertise in Java (Spring Boot, Hibernate, or similar frameworks).
• Solid, production-grade experience building dynamic, responsive user interfaces using React and TypeScript.
• Experience designing and building RESTful APIs, microservices, and distributed systems. Experience with GraphQL.
• Strong knowledge of databases (SQL and NoSQL), caching, and data structures.
• Familiarity with cloud platforms such as AWS, GCP, or Azure, and some experience with containerization (Docker, Kubernetes).
• Understanding of CI/CD pipelines, automated testing, monitoring, and production service management.
• Excellent problem-solving, communication, and collaboration skills with the ability to move quickly and thrive in an iterative, fast-paced environment.
• Eagerness to learn and expand your capabilities through leading and owning projects.
• Bonus: Experience with server-side TypeScript (especially Remix, though Next.js or Express are also great additions).

We are seeking an innovative and forward-thinking Staff Software Developer passionate about building a world-class platform through a world-class team. Creating technical software excellence and spearheading application development in design, implementation, and maintenance to make great things happen.

About the Cash Forecasting team:

Cash Forecasting is our AI-amplified treasury solution that helps CFOs and treasury teams move beyond error-prone spreadsheets to achieve real-time cash visibility and predictive accuracy.

The platform integrates seamlessly with major ERPs and banking systems to automatically capture, categorize, and analyze transactional data across multiple currencies and business units. Leveraging our proprietary GSmart AI technology, the solution continuously learns from historical cash flows, sales data, and treasury information to automatically select optimal forecasting algorithms and improve accuracy by over 30%.

You'll work on sophisticated machine learning models, automated variance analysis, real-time data orchestration from diverse financial sources, and intuitive dashboards that allow users to drill down from high-level summaries to individual transaction details. This is a critical platform managing over $100 billion in daily cash flow for enterprise customers across 40+ countries, with the technical challenge of delivering rapid 90-day implementations while maintaining enterprise-grade security and scalability.

What You’ll Do – Be a Force Multiplier:

Technical Leadership & Architecture:

• Drive architectural decisions for the platform, balancing scalability, maintainability, and rapid deployment goals
• Establish technical standards and design patterns that enable the team to ship features faster with fewer defects
• Lead technical design reviews and provide constructive feedback that elevates the team's architectural thinking
• Identify and eliminate technical debt strategically, creating roadmaps that improve both developer velocity and system reliability

Team Enablement & Mentorship:

• Mentor mid-level and senior engineers, helping them grow into technical leadership roles
• Break down complex, ambiguous problems into actionable work that distributes effectively across the team
• Establish coding standards, review practices, and testing strategies that improve overall code quality
• Champion engineering standard processes including observability, incident response, and production excellence
• Share your enthusiasm for tech trends, explore and learn new technologies, engage with tech communities, mentor fellow engineers, and lead in technical design and code evaluations

Multi-functional Impact:

• Partner with Product and Customer Success teams to translate business requirements into scalable technical solutions
• Collaborate across distributed teams (Ireland, U.S., Philippines, Australia) to drive alignment on technical approaches
• Influence product roadmap by identifying technical opportunities that create competitive advantages
• Bridge the gap between technical implementation and business value, helping the team prioritize high-impact work

Increase Agility:

• Identify and eliminate bottlenecks in the development lifecycle that slow down the entire team
• Improve CI/CD pipelines, testing infrastructure, and deployment processes to increase velocity
• Drive adoption of modern engineering practices that improve developer experience and productivity
• Lead post-mortems and blameless retrospectives that turn incidents into learning opportunities

Strategic Technical Vision:

• Anticipate future scalability challenges before they become blockers (e.g., handling 10x growth in transaction volume)
• Evaluate emerging technologies and recommend when/how to adopt them (e.g., new ML frameworks, database technologies)
• Design systems that support the 90-day implementation promise while maintaining enterprise-grade quality
• Balance technical excellence with pragmatic delivery, knowing when "good enough now" beats "perfect later"

Ownership & Accountability:

• Own critical systems end-to-end, from design through production support
• Take responsibility for production reliability and proactively prevent incidents
• Step into ambiguous situations and drive them to resolution without needing explicit direction
• Lead by example in code quality, documentation, and operational excellence
• Make tough technical trade-off decisions and clearly communicate the reasoning

What You’ll Work On:

Integration & Data Connectivity:

• Build and maintain API integrations with major ERPs (SAP, Oracle, Workday) and banking systems to automatically pull transactional data

AI/ML Features:

• Develop and optimize machine learning models for the GSmart AI engine that predicts cash flows and automatically selects optimal forecasting algorithms
• Build automated variance analysis systems that compare actuals vs. forecasts and generate actionable insights
• Create pattern recognition algorithms to identify anomalies, seasonal trends, and customer payment behaviors

Platform Development:

• Design and implement flexible worksheet engines that allow users to customize cash flow models, categories, and reporting calendars

Performance & Scalability:

• Optimize data processing for handling billions of dollars in daily transactions
• Build caching and aggregation strategies for real-time dashboard performance
• Design distributed systems architecture to support a 90-day rapid implementation model

Reporting & Analytics:

• Create interactive dashboards and visualization components for cash position insights
• Build automated notification systems for covenant compliance monitoring and unusual variance alerts

Essential Knowledge / Experience:

Years & Scope:

• 8+ years of professional software engineering experience
• 3+ years working on complex, business-critical systems in production
• Experience working on products with significant scale
• Strong communication skills with experience working in multi-functional projects
• Track record of delivering projects that span multiple quarters and require coordination across teams

System Ownership:

• Owned and evolved significant portions of a production system end-to-end
• Been on-call for production systems and handled critical incidents
• Led technical designs that were implemented by teams of 3+ engineers
• Made architectural decisions that had lasting impact on system capabilities

Technical Leadership:

• Mentored 2+ engineers to help them level up technically
• Established technical patterns that were adopted across the team
• Led technical spikes to evaluate new technologies or approaches

Cloud & Infrastructure:

• Proficiency with at least one major cloud platform (AWS, Azure, GCP)
• Experience with containerization (Docker) and orchestration (Kubernetes)
• Understanding of infrastructure as code and CI/CD pipeline design
• Knowledge of observability: logging, metrics, tracing, and alerting strategies
• Experience with microservices deployment patterns and service mesh concepts

Enterprise Software Patterns:

• Deep understanding of distributed systems patterns, even driven architectures, and message queues
• Multi-tenancy architecture and data isolation strategies
• Role-based access control (RBAC) and authorization patterns
• Audit logging and compliance requirements for financial systems
• API versioning and backward compatibility strategies
• Feature flagging and progressive rollout techniques

Core Technologies:

• Deep expertise with Ruby on Rails
• Expert in RDBMS (ideally PostGres), including query optimization, indexing strategies, and data modeling
• Deep experience in building large scale multi-tenant applications
• Experience building and maintaining RESTful APIs and understanding when to use alternative patterns (GraphQL, gRPC, webhooks)
• Deep knowledge in building applications using React, TypeScript, JavaScript, and related technologies

Preferred Knowledge / Experience:

• Understanding of financial concepts: cash positioning, forecasting, liquidity management
• Knowledge of banking systems, payment rails, and financial data formats (MT940, BAI2, SWIFT)
• Understanding of multi-currency handling, exchange rates, and date/time complexities across time zones
• Awareness of financial compliance and regulatory requirements (SOC 2, data privacy)
• Experience integrating with third-party financial systems (banks, ERPs, payment processors)

Lead Software Engineer, Reliability (Dublin)

Team Overview

As a Lead Software Engineer, Reliability, you will set technical direction and lead reliability strategy for Klaviyo’s most critical platforms. You’ll ensure our systems are reliable, scalable, and sustainable while enabling rapid product development across the company.

We treat reliability as a core product feature. Our work spans security, infrastructure, and software engineering, requiring deep systems thinking and strong technical leadership. We build foundational services that must be extremely reliable, secure, and performant at global scale.

The SRE team’s charter is to design, build, and operate foundational infrastructure and services, define reliability standards, reduce operational toil through automation, and continuously improve systems based on production learnings. As a lead, your work will be highly visible and will directly influence how Klaviyo builds software and how customers experience our platform every day.

How you’ll make an impact

As a Lead Software Engineer, Reliability, you will provide technical leadership while remaining hands-on with the systems that underpin Klaviyo’s reliability and operational excellence. You will:

• Set the technical vision and long-term strategy for reliability, availability, and operational excellence across critical platforms
• Lead the design, implementation, and evolution of foundational, security-critical services with strong guarantees around availability, scalability, latency, and fault tolerance
• Drive adoption of SRE best practices across engineering teams, including SLIs, SLOs, error budgets, and reliability-based decision making
• Identify systemic reliability risks and architectural bottlenecks, and lead cross-team initiatives to address them with durable, preventative solutions
• Apply software engineering principles to automate infrastructure, eliminate operational toil, and improve system reliability at scale
• Own and continuously improve observability, alerting, and incident response practices to reduce mean time to detection and recovery
• Guide on-call strategy and operational processes to ensure sustainability, automation, and healthy operational load
• Perform and lead quantitative analysis around system behavior, capacity planning, scaling limits, and performance characteristics
• Partner closely with product, platform, and security leaders to influence system architecture early and ensure reliability is built in from the start
• Lead incident response for high-severity events, driving effective mitigation, communication, and follow-up
• Mentor senior and mid-level engineers, raising the bar for technical quality, operational maturity, and reliability culture across the organization
• Review and influence technical designs, platform APIs, operational runbooks, and system documentation at an organizational level
• You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.

Who you are

You are a senior technical leader who combines deep systems expertise with strong judgment and influence. You:

• Are a cloud-native, platform-focused SRE who uses software to design and operate highly reliable production systems at scale
• Write and maintain production-quality code (e.g. Python, Go, or similar) to build internal platforms, automate operations, and improve system reliability
• Have led the design and operation of distributed, cloud-native systems and deeply understand failure modes such as partial outages, dependency failures, resource saturation, and cascading impact
• Have extensive experience operating containerized workloads and platforms (e.g. Kubernetes) in production, including deployment strategies, scaling behavior, and service networking
• Are comfortable owning on-call strategy and participating in escalation for complex production incidents
• Have designed and evolved observability platforms and alerting strategies that reflect real customer and service impact
• Apply SRE concepts such as SLIs, SLOs, error budgets, and burn-rate–based alerting to guide engineering priorities and trade-offs at a team or org level
• Have strong hands-on experience with infrastructure as code and declarative configuration (e.g. Terraform, Kubernetes manifests, policy-as-code)
• Have led capacity planning, load testing, and performance analysis efforts for large-scale distributed systems
• Drive high-quality post-incident reviews and ensure concrete, code-focused follow-up actions are delivered and sustained
• Are comfortable leading technical discussions, influencing architecture, and providing clear guidance across multiple teams

Nice to have

• Experience leading or supporting critical platforms or internal tooling
• Familiarity with identity, access management, secrets management, or policy enforcement systems
• Experience operating systems at scale in cloud environments (AWS preferred)
• Background in resilience testing, fault injection, or chaos engineering
• Strong understanding of algorithms and data structures as they apply to large-scale systems

Tech Stack

Klaviyo’s platform is primarily built with Python and React and runs on AWS. Engineers join us from a wide range of technical backgrounds and are supported in learning our stack.

Core technologies include:

• Python / Django / FastAPI
• MySQL / Redis / Memcached
• RabbitMQ / Celery / Apache Kafka / Apache Pulsar
• AWS / Terraform / Kubernetes

Location & Work Model

This role is based in Dublin, Ireland and follows a hybrid working model. Klaviyo supports work authorization and relocation for this position.

At Klaviyo, we enjoy tackling meaningful engineering challenges and value people who take ownership, learn continuously, and collaborate openly. We are committed to building inclusive teams and encourage applications from candidates of all backgrounds.

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

If you want to grow, stretch, and do work that truly matters, Gong is the place to do the best work of your career.

Gong is seeking a highly motivated DevOps Engineering Manager - dedicated to developing our DevOps team in Dublin. This is a new team being built in our Dublin R&D hub. 

We’re looking for a hands-on and strategic DevOps Engineering Manager to lead and scale our Dublin-based DevOps function. You’ll start by managing a small team, focused on DevOps tasks in the products that Dublin teams are responsible for. 

You’ll be pivotal in designing, implementing and maintaining our cloud infrastructure, including,  Features, Day2 (maintenance), Security-related and FinOps parts of it. 

You’ll partner closely with our bigger DevOps group, Engineering, Security, and IT teams globally to ensure Gong’s systems are secure, scalable, and high-performing.

As one of the leaders in our Dublin R&D team, you’ll shape not only the infrastructure but also the culture and processes that support Gong’s next phase of innovation.

As the Manager, you will:

• Hire, Lead, mentor, and grow a small but high-impact DevOps engineering team in Dublin.
• Oversee the design, deployment, and continuous improvement of secured, scalable and reliable cloud infrastructure (primarily AWS).
• Drive the design and implementation of best Operational, Reliable and secure practices and tooling for CI/CD and monitoring.
• Automation & Streamlining: Help automate and streamline our operations and processes, enhancing efficiency and reducing manual intervention.
• Cross-Functional Collaboration: Work closely with all major stakeholders in the company, including R&D, Security, Product, and more, to ensure seamless integration of DevOps practices.
• Impactful Contribution: Play a major part in shaping the company's cloud strategy, focusing on innovation and long-term success.
• Lead by example, driving continuous improvement and optimization of the team’s products and infrastructure.
• Coach, mentor, hire, and grow individuals on the team to reach their full potential.

You should apply if you are:

• 8+ years of experience in DevOps, Site Reliability, or Platform Engineering roles, with at least 3 years managing engineers.
• Proven track record of building and operating scalable cloud environments (AWS preferred).
• Deep understanding of infrastructure-as-code and GitOps methodologies  (Crossplane, Terraform, CloudFormation, Pulumi).
• Strong experience with CI/CD pipelines (e.g., GitHub Actions, Jenkins, ArgoCD, CircleCI).

• Extensive experience with running  Kubernetes and container orchestration in production.
• A solid understanding of computer networking fundamentals, REST architecture, and cloud security concepts.

• Background in container security and Kubernetes security best practices.
• Experience working in a Java-based environment.
• Hands-on experience with observability tools (Prometheus, Grafana, Datadog, etc.).
• Excellent leadership, collaboration, and communication skills.
• Experience working in fast-paced, high-growth SaaS or product environments.
• Bonus: Experience working in a hybrid/global team across time zones.

Gong believes in offering competitive compensation and benefits tailored to the local region. Gong is an equal-opportunity employer. We believe that diversity is integral to our success, and do not discriminate based on race, colour, religion, age, or any other basis protected by law.

To review Gong's privacy policy, visit www.gong.io/privacy-policy/ for more details.

#LI-OH1

What's the opportunity?

We’re looking for Senior+ AI Infrastructure Engineers to build the systems that train and serve Intercom’s next generation of AI products.

Intercom is an AI company that builds from the GPU all the way up to a user agent that resolves millions of customer service queries a month. 

You’ll join a small, highly technical team working at the cutting edge of modern AI infrastructure. The AI Infra team built the training pipelines and runs the inference for custom models like Fin Apex, which outperforms frontier models in customer service tasks, and is the foundation of the AI Group's full stack approach to AI.

We’re particularly interested in engineers who have:

• A track record of working on model training or model inference at scale, or on low‑level GPU coding (e.g. CUDA, Triton). Experience with one is great, multiple is even better.

What will I be doing?

As a Senior AI Infrastructure Engineer focused on model training and inference, you will:

• Implement and scale training pipelines for large transformer and LLM models, from data ingestion and preprocessing through distributed training and evaluation.
• Build and optimize inference services that deliver low‑latency, high‑reliability experiences for our customers, including autoscaling, routing, and fallbacks.
• Work on GPU‑level performance: tuning kernels, improving utilization, and identifying bottlenecks across our training and inference stack.
• Collaborate closely with ML scientists to implement cutting edge training and inference methods and bring them to production.
• Play an active role in hiring, mentoring, and developing other engineers on the team.
• Raise the bar for technical standards, reliability, and operational excellence across Intercom’s AI platform.

Profile we’re looking for:

These are indicative, not hard requirements

We’re looking to hire Senior+ AI Infrastructure Engineers. You’re likely a great fit if:

• You have 5+ years of experience in software engineering, with a strong track record of shipping high‑quality products or platforms.
• You hold a degree in Computer Science, Computer Engineering, or a related field (or you have equivalent experience with very strong fundamentals).
• You have hands‑on experience with one or more of the following:
• Model training (especially transformers and LLMs).
• Model inference at scale (again, especially transformers and LLMs).
• Low‑level GPU work, such as writing CUDA or Triton kernels.
• Comfortable working in production environments at meaningful scale (traffic, data, or organizational).
• You communicate clearly, can explain complex technical topics to different audiences, and enjoy close collaboration with both engineers and non‑engineers.
• You take pride in strong technical fundamentals, love learning, and are willing to invest in your own development.
• Have deep knowledge of at least one programming language (for example Python, Ruby, Java, Go, etc.). Specific language experience is less important than your ability to write clean, reliable code and learn new stacks quickly.

Bonus skills & attributes

None of these are required, but they’re nice to have:

• Experience at AI native companies that train and/or run inference for their own models (e.g. modern AI labs or AI‑native product companies).
• Experience running training or inference workloads on Kubernetes.
• Experience with AWS or other major cloud providers.
• Production experience with Python in ML or infrastructure contexts.
• Demonstrated passion for technology through personal projects, open source, meetups, or publishing content about your work and learnings

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, annual bonus and equity
• Regular compensation reviews - we reward great work!
• Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated.
• Generous paid time off above statutory minimum
• Hybrid working
• MacBooks are our standard, but we also offer Windows for certain roles when needed.
• Fun events for employees, friends, and family!

#LI-Hybrid

What's the opportunity?

We’re looking for Senior+ AI Infrastructure Engineers to build the systems that train and serve Intercom’s next generation of AI products.

Intercom is an AI company that builds from the GPU all the way up to a user agent that resolves millions of customer service queries a month. 

You’ll join a small, highly technical team working at the cutting edge of modern AI infrastructure. The AI Infra team built the training pipelines and runs the inference for custom models like Fin Apex, which outperforms frontier models in customer service tasks, and is the foundation of the AI Group's full stack approach to AI.

We’re particularly interested in engineers who have:

• A track record of working on model training or model inference at scale, or on low‑level GPU coding (e.g. CUDA, Triton). Experience with one is great, multiple is even better.

What will I be doing?

As a Senior AI Infrastructure Engineer focused on model training and inference, you will:

• Implement and scale training pipelines for large transformer and LLM models, from data ingestion and preprocessing through distributed training and evaluation.
• Build and optimize inference services that deliver low‑latency, high‑reliability experiences for our customers, including autoscaling, routing, and fallbacks.
• Work on GPU‑level performance: tuning kernels, improving utilization, and identifying bottlenecks across our training and inference stack.
• Collaborate closely with ML scientists to implement cutting edge training and inference methods and bring them to production.
• Play an active role in hiring, mentoring, and developing other engineers on the team.
• Raise the bar for technical standards, reliability, and operational excellence across Intercom’s AI platform.

Profile we’re looking for:

These are indicative, not hard requirements

We’re looking to hire Senior+ AI Infrastructure Engineers. You’re likely a great fit if:

• You have 5+ years of experience in software engineering, with a strong track record of shipping high‑quality products or platforms.
• You hold a degree in Computer Science, Computer Engineering, or a related field (or you have equivalent experience with very strong fundamentals).
• You have hands‑on experience with one or more of the following:
• Model training (especially transformers and LLMs).
• Model inference at scale (again, especially transformers and LLMs).
• Low‑level GPU work, such as writing CUDA or Triton kernels.
• Comfortable working in production environments at meaningful scale (traffic, data, or organizational).
• You communicate clearly, can explain complex technical topics to different audiences, and enjoy close collaboration with both engineers and non‑engineers.
• You take pride in strong technical fundamentals, love learning, and are willing to invest in your own development.
• Have deep knowledge of at least one programming language (for example Python, Ruby, Java, Go, etc.). Specific language experience is less important than your ability to write clean, reliable code and learn new stacks quickly.

Bonus skills & attributes

None of these are required, but they’re nice to have:

• Experience at AI native companies that train and/or run inference for their own models (e.g. modern AI labs or AI‑native product companies).
• Experience running training or inference workloads on Kubernetes.
• Experience with AWS or other major cloud providers.
• Production experience with Python in ML or infrastructure contexts.
• Demonstrated passion for technology through personal projects, open source, meetups, or publishing content about your work and learnings

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!
• Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated.
• 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

What's the opportunity?

We’re looking for Senior+ AI Infrastructure Engineers to build the systems that train and serve Intercom’s next generation of AI products.

Intercom is an AI company that builds from the GPU all the way up to a user agent that resolves millions of customer service queries a month. 

You’ll join a small, highly technical team working at the cutting edge of modern AI infrastructure. The AI Infra team built the training pipelines and runs the inference for custom models like Fin Apex, which outperforms frontier models in customer service tasks, and is the foundation of the AI Group's full stack approach to AI.

We’re particularly interested in engineers who have:

• A track record of working on model training or model inference at scale, or on low‑level GPU coding (e.g. CUDA, Triton). Experience with one is great, multiple is even better.

What will I be doing?

As a Senior AI Infrastructure Engineer focused on model training and inference, you will:

• Implement and scale training pipelines for large transformer and LLM models, from data ingestion and preprocessing through distributed training and evaluation.
• Build and optimize inference services that deliver low‑latency, high‑reliability experiences for our customers, including autoscaling, routing, and fallbacks.
• Work on GPU‑level performance: tuning kernels, improving utilization, and identifying bottlenecks across our training and inference stack.
• Collaborate closely with ML scientists to implement cutting edge training and inference methods and bring them to production.
• Play an active role in hiring, mentoring, and developing other engineers on the team.
• Raise the bar for technical standards, reliability, and operational excellence across Intercom’s AI platform.

Profile we’re looking for:

These are indicative, not hard requirements

We’re looking to hire Senior+ AI Infrastructure Engineers. You’re likely a great fit if:

• You have 5+ years of experience in software engineering, with a strong track record of shipping high‑quality products or platforms.
• You hold a degree in Computer Science, Computer Engineering, or a related field (or you have equivalent experience with very strong fundamentals).
• You have hands‑on experience with one or more of the following:
• Model training (especially transformers and LLMs).
• Model inference at scale (again, especially transformers and LLMs).
• Low‑level GPU work, such as writing CUDA or Triton kernels.
• Comfortable working in production environments at meaningful scale (traffic, data, or organizational).
• You communicate clearly, can explain complex technical topics to different audiences, and enjoy close collaboration with both engineers and non‑engineers.
• You take pride in strong technical fundamentals, love learning, and are willing to invest in your own development.
• Have deep knowledge of at least one programming language (for example Python, Ruby, Java, Go, etc.). Specific language experience is less important than your ability to write clean, reliable code and learn new stacks quickly.

Bonus skills & attributes

None of these are required, but they’re nice to have:

• Experience at AI native companies that train and/or run inference for their own models (e.g. modern AI labs or AI‑native product companies).
• Experience running training or inference workloads on Kubernetes.
• Experience with AWS or other major cloud providers.
• Production experience with Python in ML or infrastructure contexts.
• Demonstrated passion for technology through personal projects, open source, meetups, or publishing content about your work and learnings

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!
• Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated.
• 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

RxSense in Dublin

RxSense is establishing a new development centre in Dublin as part of our global growth strategy, bringing together the city’s world-class engineering talent with our mission to transform healthcare technology. Dublin’s thriving tech ecosystem and strong community of innovators make it the ideal hub to accelerate product development and drive cutting-edge solutions. By joining our new centre, you’ll collaborate with international teams, and grow your career in an environment that values creativity, ownership, and continuous learning.

Role Overview

We are seeking a Senior/Principal Software Engineer to contribute to the development and enhancement of our healthcare technology platform. You’ll work closely with senior engineers, product managers, and architects to deliver high-quality, scalable software solutions. This role offers the opportunity to make a real impact on mission-critical systems while developing your skills in distributed systems and modern cloud technologies.

Main Responsibilities

• Contribute to the design, development, and maintenance of scalable backend services using Java or C# / .NET.
• Collaborate with cross-functional teams to define technical requirements and deliver high-quality features.
• Implement best practices in coding, testing, and performance optimization.
• Participate in code reviews, knowledge sharing, and design discussions.
• Support integration with distributed caching / in-memory data platforms (e.g.Hazelcast, Redis, Ignite).
• Write and maintain automated tests to ensure reliability and confidence in releases.
• Work with cloud infrastructure (AWS), CI/CD pipelines, and containerized environments (Docker/Kubernetes).
• Troubleshoot, debug, and resolve issues in production and non-production environments.

Knowledge, Skills, and Experience

• Minimum 8 years of professional software engineering experience.
• Strong programming skills in Java or .NET (enterprise or backend development).
• Understanding of distributed systems, data structures, and algorithms.
• Experience with relational or NoSQL databases, plus exposure to caching/data grid technologies a bonus.
• Familiarity with cloud platforms (AWS preferred) and containerized environments (Docker, Kubernetes).
• Comfortable working in Agile environments, collaborating with international teams.
• Knowledge of Python is a plus, but not required.
• Interest in healthcare or other regulated industries a bonus.