Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the largest and most influential platforms on the internet. 

As Reddit continues to scale globally, reliability and performance are more critical than ever. The Site Experience SRE team sits at the intersection of infrastructure, product engineering, and user experience - ensuring that every interaction across web, mobile, APIs, feeds, media delivery, and real time systems is fast, reliable, and resilient.

We are looking for a Staff Site Reliability Engineer to lead reliability engineering initiatives for critical user facing systems at internet scale. In this role, you will partner closely with product and infrastructure teams to improve availability, latency, scalability, and operational excellence across Reddit’s most business critical experiences.

This is a highly technical leadership role for someone who thrives in large-scale distributed systems, enjoys solving complex reliability challenges, and can influence engineering culture across the organization.

What you’ll do:

• Lead Reliability Engineering for User Experience
• Drive reliability, scalability, and operational excellence for critical user facing systems and services. Improve performance and resiliency across APIs, content delivery, feed generation, search, messaging, and real-time experiences.
• Architect for Scale
• Partner with product and infrastructure engineering teams to design systems that remain highly available and performant under massive global load. Guide architectural decisions around failover, redundancy, graceful degradation, traffic management, and capacity planning.
• Reduce Operational Risk
• Identify systemic risks and reliability bottlenecks across services, dependencies, deployments, and infrastructure. Build proactive mitigation strategies and drive engineering improvements that reduce incidents and improve service health.
• Drive Automation
• Eliminate repetitive operational work through automation and tooling. Build systems that improve deployment safety, incident response, remediation workflows, and reliability guardrails
• Incident Management
• Lead complex incident response efforts across engineering teams. Drive blameless postmortems, identify root causes, and ensure sustainable long-term fixes are implemented.

Influence Engineering Standards

• Define and champion best practices around reliability engineering, SLIs/SLOs, capacity management, release engineering, and operational maturity across the company.

Mentor and Multiply Impact

• Provide technical leadership and mentorship to engineers across SRE and software engineering teams. Help shape reliability culture and raise the operational excellence bar across the organization.

What We’re Looking For

• 8+ years of experience in Site Reliability Engineering, Infrastructure Engineering, or related roles operating large scale distributed systems.
• Strong collaboration and communication skills with the ability to influence technical direction across teams.
• Strong experience supporting high traffic, user facing production environments.
• Deep understanding of one or more: distributed systems, networking, Linux systems, cloud native architectures.
• Experience designing highly available systems with strong operational and reliability practices.
• Strong programming skills in languages such as Go, Python, or similar.
• Strong understanding of observability systems including metrics, logging, tracing, and alerting.
• Experience improving reliability through SLOs, automation, incident management, and performance optimization.
• Demonstrated ability to troubleshoot complex issues across applications, infrastructure, networking, and services.

Nice to Have

• Experience operating systems at internet scale traffic volumes.
• Experience with Kubernetes, containers, cloud infrastructure, and modern deployment platforms.
• Familiarity with technologies such as Prometheus, Grafana, OpenTelemetry, Envoy, Kafka, ClickHouse, Cassandra, Redis, or similar distributed infrastructure technologies.
• Experience with CDN optimization, edge reliability, traffic engineering, or global infrastructure.
• Contributions to open source software or participation in technical communities.
• Experience leading large scale incident response and operational transformation initiatives.

Why Join Reddit?

You’ll help shape the reliability and performance of one of the internet’s largest platforms, influencing experiences used by millions of people every day. This is an opportunity to solve deeply complex engineering problems at massive scale while helping define the future of reliability engineering for a modern consumer platform.

Benefits

• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Private Medical, Dental, and Vision Benefits
• Personal Retirement Savings Account with matching contribution
• Cycle to Work and Tax Saver schemes
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

Cloud Data Architect

BearingPoint Ireland has an exciting opportunity for an experienced Cloud Data Architect to join our growing Data Analytics & AI team. We are working with a wide range of clients, on a number of complex projects that are transforming the way business is being done in Ireland

Applicants should have the following skills / experience:

• Minimum of 5 years’ experience as a data architect, working in both “on-prem” environment and Cloud environment, especially Microsoft and AWS technologies
• Advanced data modelling and architecture skills
• Proven experience with data integration tools such as SSIS, ADF, Kafka, Talend
• Proven ability to write automated scripts using PowerShell, SQL
• Good communication and language skills in the English language (presenting, documenting, workshopping)
• Experience managing stakeholders in a complicated environment
• Experience in the configuration and setup of database environments
• Experience of database design from an online, batch and reporting perspective
• 3rd level degree in IT related discipline

In addition to the above, the following skills / knowledge will be beneficial:

• Experience working with Power BI in a Fabric or Synapse Analytics environment.
• Experience with other analytics delivery platforms, such as Databricks, Spark, Snowflake. Redshift. etc.
• Knowledge of machine learning frameworks and AI tools.
• Knowledge of software delivery practices, modern delivery methodologies (incl. Agile) – i.e. the ability to understand how a delivery project works and the constraints that they are working in
• Experience with data governance frameworks and data security policies.
• Performance optimization of cloud data solutions.

The MongoDB Customer Observability Team is a diverse group of contributors working together to help our users manage MongoDB at global scale. The team is responsible for MongoDB Atlas: our database-as-a-service offering and fastest-growing product, which allows users to deploy globally distributed MongoDB clusters in just minutes.

We're seeking a Senior Software Engineer to join our team to tackle exciting challenges within the Observability space. 

You'll contribute to developing tools and platforms that help our users understand the health and performance of their MongoDB deployments. This includes collecting metrics, monitoring slow queries, and offering actionable insights such as index and schema suggestions that improve the speed, efficiency, and overall reliability of their databases.

This role provides a unique opportunity to drive engineering excellence across both dimensions of observability, leveraging technologies being developed within the Customer Observability group and contributing directly to the success of our customers and our product teams. If you're passionate about large-scale systems, digging deep into telemetry data, and building tools that make a real impact both internally and externally, we’d love to have you on board!

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

We're looking for someone who

• Has at least 5 years of experience as a backend or full stack engineer
• Enjoys collaboration and being part of a team
• Is approachable, curious, and intellectually honest
• Is a backend engineer with a willingness to take on frontend tasks or a full-stack developer with a bias towards backend
• Has written backend systems in a compiled language (Java, C#, Go, etc.)
• Has experience with the design and architecture of a modern, scalable web application
• Enjoys chasing down difficult problems in a distributed environment and on an database diagnostic/operation level 
• Always strives to expand their knowledge and keeps up to date with new technologies
• Is familiar with debugging and troubleshooting production issues 
• Strong understanding of algorithms, data structures and their time and space complexity

Nice to Haves

• Has worked with distributed event streaming platforms like Kafka or WarpStream and/or event processing platforms like Flink
• Experience developing and writing code observability tools
• Previous work in TypeScript, React, and Node.js, particularly maintaining an ecosystem of dependencies
• Knowledge of database internals and tuning mechanisms, particularly indexing

Role Responsibilities

• Design, write and maintain Observability code and features
• Contribute to and lead complex technical projects
• Investigate large scale distributed production issues
• Collaborate with team members to develop our codebase, best practices and design principles
• Work with customers and support engineers to fix issues and become part of our on-call rotation 
• Mentor junior team members

Success Measures

• In 1 month, you'll be familiar with the parts of the system that your team owns, the existing features, and projects within the Observability team and have contributed minor tasks within our codebase
• In 3 months, you will be contributing to design and development of your team’s projects and starting to ship tickets regularly 
• In 6 months, you will have ramped up enough to take on medium+ sized projects, contribute actively in our technical discussions and proactively improve our codebase and products. You will be supporting our customers during escalations and have joined our on-call rotation

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: 426170

We are seeking a Staff engineer to design, build, and operate the internal and external Observability stack for the MongoDB platform. Tens of thousands of customers depend on our Observability stack to monitor their database clusters and to generate actionable alerts to safeguard critical workloads. 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 engineers with high standards, and experience in setting direction and technical leadership for large engineering teams in designing and operating complex distributed systems, with strict SLO on security, durability, availability and performance.  

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 stack includes VictoriaMetrics, Splunk, Flink, WarpStream/Kafka, Java, Golang Fluentbit. In addition to owning critical components of our observability infrastructure, as a Staff engineer on the team, you’ll also work closely with other SWE, Product and SRE teams to promote and implement best practices in instrumenting and monitoring their services. This is a highly collaborative role, and you will get to own some of the most relied upon internal infrastructure at Mongo.

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! Let’s build a faster, more reliable, and exceptionally observable database system together.

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

Candidate Profile

• Solving complex problems at scale, and to high standards, excites you
• Minimum 10 years of experience in designing, programming, debugging, and tuning distributed and/or highly concurrent C/C++/Java/Rust mission critical software systems. 
• Experience running latency sensitive, high throughput systems
• Strong systems fundamentals, including multi-threaded programming, performance profiling, and expert-level programming
• Familiarity with database internals or building core components for data processing systems
• (Nice to have) Indexing or database performance tuning experience 
• Familiarity with observability ecosystem and best practices
• Excellent verbal and written technical communication skills and a strong desire to collaborate with colleagues and mentor engineers
• Excellent time and project management skills including the ability to make realistic assessments of project cost and complexity
• Has a good understanding of information security management

Responsibilities

• Help build and architect systems for the mission-critical observability platform, leading the architecture and implementation of components that drive performance, scalability, cost-efficiency, and resiliency
• Design and implement observability improvements that enable MongoDB engineers and customers to quickly and accurately diagnose the root cause of production issues.
• Handle production customer escalations from Technical Support team and coach teammates to do the same
• Write production-ready database code, improve the existing code, and mentor their team to write higher quality code
• Own areas of code that the Observability Team maintains, ensuring it achieves a high standard for quality (including security, durability, availability, and performance) and maintainability
• Diagnose test failures, identify bugs in existing code, fix them, and prevent bugs from being introduced in new code
• Investigate the performance impact of code changes that may cause software performance regressions
• Interview candidates for advanced software engineering positions
• Develop and maintain expertise on cutting edge database, and observability developments from industry and academia
• Lead development and project management of some of the larger projects across the company
• Collaborate with stakeholders and engineering teams across the company to jointly work on large initiatives
• Advise Product Management on technical product direction, engineering complexity and inter-project dependencies
• Collaborate with Product Management and Engineering leadership to define product roadmaps
• Champion and improve unit and integration tests to demonstrate correctness
• Work with customers and support engineers to fix issues and become part of our on-call rotation 

Success Measures

• In the first month, you will have understood the high level architecture of MongoDB observability, and fixed a few bugs
• In three months, you will have contributed to the development of a project slated for the next major release of MongoDB, and diagnosed and fixed a few customer or testing-reported issues
• In six months, you will have taken on code review responsibilities and are involved in reviewing the design for new features
• In twelve months, you will be leading the development of new features and initiatives, helping to mentor engineers on the team, and using your experience to drive the long-term technical roadmap of the Observability Team

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 1273361945

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

We are seeking a Senior Staff engineer to design, build, and operate the internal and external Observability stack for the MongoDB platform. Tens of thousands of customers depend on our Observability stack to monitor their database clusters and to generate actionable alerts to safeguard critical workloads. 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 engineers with high standards, and experience in setting direction and technical leadership for large engineering teams in designing and operating complex distributed systems, with strict SLO on security, durability, availability and performance.  

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 stack includes VictoriaMetrics, Splunk, Flink, WarpStream/Kafka, Java, Golang Fluentbit. In addition to owning our observability infrastructure, as an Engineer on the team, you’ll also work closely with other SWE and SRE teams to promote and implement best practices in instrumenting and monitoring their services. This is a highly collaborative role, and you will get to own some of the most relied upon internal infrastructure at Mongo.

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! Let’s build a faster, more reliable, and exceptionally observable database system together.

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

Candidate Profile

• Solving complex problems at scale, and to high standards, excites you
• Minimum 12 years of experience in designing, programming, debugging, and tuning distributed and/or highly concurrent C/C++/Java/Rust mission critical software systems
• Experience running latency sensitive, high throughput systems
• Strong systems fundamentals, including multi-threaded programming, performance profiling, and expert-level programming
• Familiarity with database internals or building core components for data processing systems
• (Nice to have) Indexing or database performance tuning experience 
• Familiarity with observability ecosystem and best practices
• Excellent verbal and written technical communication skills and a strong desire to collaborate with colleagues and mentor engineers
• Excellent time and project management skills including the ability to make realistic assessments of project cost and complexity
• Has a good understanding of information security management

Responsibilities

• Define standards and vision for the mission-critical observability platform, leading the architecture and implementation of components that drive performance, scalability, cost-efficiency, and resiliency
• Design and implement observability improvements that enable MongoDB engineers and customers to quickly and accurately diagnose the root cause of production issues.
• Handle production customer escalations from Technical Support team and coach teammates to do the same
• Write production-ready database code, improve the existing code, and mentor their team to write higher quality code
• Own all code the Observability Team maintains, ensuring it achieves a high standard for quality (including security, durability, availability, and performance) and maintainability
• Diagnose test failures, identify bugs in existing code, fix them, and prevent bugs from being introduced in new code
• Investigate the performance impact of code changes that may cause software performance regressions
• Interview candidates for advanced software engineering positions
• Develop and maintain expertise on cutting edge database, and observability developments from industry and academia
• Lead development and project management of some of the largest projects across the company
• Collaborate with stakeholders and engineering teams across the company to jointly work on large initiatives
• Advise Product Management on technical product direction, engineering complexity and inter-project dependencies
• Collaborate with Product Management and Engineering leadership to define product roadmaps
• Champion and improve unit and integration tests to demonstrate correctness
• Work with customers and support engineers to fix issues and become part of our on-call rotation 

Success Measures

• In the first month, you will have understood the high level architecture of MongoDB observability, and fixed a few bugs
• In three months, you will have contributed to the development of a project slated for the next major release of MongoDB, and diagnosed and fixed a few customer or testing-reported issues
• In six months, you will have taken on code review responsibilities and are involved in reviewing the design for new features
• In twelve months, you will be leading the development of new features and initiatives, helping to mentor engineers on the team, and using your experience to drive the long-term technical roadmap of the Observability Team

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 1273361934

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

About the Opportunity

As a Senior Software Engineer focused on content storage infrastructure domain you will be responsible for innovating and maintaining Contentful’s underlying storage infrastructure and adjacent services. You will work on the very foundation of Contentful that our teams build on top of, but also have the opportunity to directly impact our customers’ experience with scalability and performance features.

You’ll join a team of thoughtful, collaborative engineers who support each other, share knowledge freely, and work closely with teams across domains. If you’re someone who thrives on responsibility and takes pride in building highly scalable and reliable systems that enable others - this might be the right place for you.

The team is placed in the infrastructure group.

What to expect?

• You’ll further design and develop our content storage infrastructure is foundational to the billions of requests we are serving today
• You’ll work with AWS using Terraform and Infrastructure-as-Code best practices
• You’ll collaborate closely with teams in the content storage and delivery domains
• You’ll develop and maintain services written in Typescript and Go
• You’ll help us stay ahead of operational risks - anticipating bottlenecks or failure points before they cause problems.

What you need to be successful?

• Proven experience in software development and systems engineering experience
• Strong understanding of relational database engines (preferably PostgreSQL)
• Thorough AWS knowledge across core services: RDS, S3, Lamda, SNS/SQS
• Terraform and Kubernetes expertise
• Kafka experience is a plus
• Proficiency in at least one modern programming language (Typescript, Go)
• Experience with observability stacks (metrics, logs, tracing) and tools like Splunk and DataDog
• Problem-Solving Skills: Natural problem-solver who brings forward ideas leading to practical solutions and product growth.
• Collaborative Mindset: Ability to work effectively in a team environment
• Adaptability: Ability to organize and prioritize competing workloads in a fast-paced environment.
• Excellent English communication skills, verbal and written (German not required).
• A collaborative mindset: you're helpful, respectful, and enjoy sharing knowledge
• Ability to context switch, work through ambiguity, and contribute across multiple workstreams
• You lead by example, mentor others, and embrace a culture of safe experimentation and continuous improvement

What’s in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package health/dental/vision care package covering 100% of monthly health premiums for employees  and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days,  education days, compassion days for loss, and volunteer days
• Time off to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication phone/internet stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

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

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

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

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

The Opportunity

We are seeking a highly experienced Senior Manager – Platform Core & Security to lead and evolve our Core/Security Platform engineering function while strengthening our security posture across the ESW cloud ecosystem.

This role combines deep platform engineering leadership with security ownership. You will be responsible for driving the technical direction, reliability, and scalability of our Core Platform (built on .NET, Azure, Kafka, AKS, Cosmos DB), while embedding security-by-design principles across the entire SDLC.

You will lead a team of senior engineers across Platform Core and Security, ensuring our systems are secure, resilient, scalable, and aligned with business priorities.

Responsibilities

• Lead and scale the Core/Security Platform engineering team.

• Define and evolve the technical roadmap for:

  • .NET-based services running on AKS.

  • Event-driven architectures powered by Kafka.

  • Shared deployment foundations (Helm charts, containers, base images).

  • Data models leveraging Cosmos DB.

• Ensure platform capabilities enable product teams to deliver efficiently and safely.

• Balance long-term architectural health with short-term delivery needs.

Security Strategy & Engineering

• Lead the Security engineering function within Platform.

• Embed security-by-design across architecture, CI/CD, and runtime environments.

• Oversee cloud security posture across Azure (primary), AWS, and GCP.

• Define and enforce best practices for:

  • IAM and least privilege models.

  • Secrets management and encryption.

  • Secure container and image management.

  • Vulnerability management and patching.

  • Secure SDLC practices.

• Partner with compliance and governance teams to meet regulatory requirements (e.g., GDPR, PCI, etc.).

Architecture & Technical Governance

• Drive architectural consistency across microservices, APIs, and event-driven systems.

• Lead design reviews and establish engineering guardrails.

• Reduce platform complexity and technical debt.

• Sponsor strategic technical initiatives (modernization, migrations, refactoring).

• Ensure secure and scalable patterns are adopted across teams.

Reliability & Operational Excellence

• Ensure platform services are observable and resilient.

• Oversee incident management for core platform components.

• Drive root cause analysis and systemic improvements.

• Define SLAs/SLOs in partnership with SRE and DevOps teams.

• Support high-traffic eCommerce events with strong operational readiness.

Team Leadership & Culture

• Build and mentor a high-performing team of senior engineers.

• Develop technical leaders within Platform Core and Security.

• Foster a culture of ownership, accountability, and continuous improvement.

• Improve cross-team collaboration between Platform, Product, DevOps, and Security.

• Represent Platform Core & Security in senior engineering forums.

Requirements

• 10+ years of experience in backend, platform, or cloud engineering.

• 5+ years in engineering leadership roles.

• Proven experience operating and scaling cloud-native platforms.

• Experience leading security initiatives in cloud environments.

• Strong background in .NET backend systems.

• Deep experience with Microsoft Azure (AKS, Cosmos DB, Azure Monitor).

• Experience with Kafka and event-driven architectures.

• Strong understanding of containers, Kubernetes, Helm, and CI/CD.

• Solid knowledge of cloud security best practices.

• Experience with IAM, network security, encryption, and vulnerability management.

• Strong understanding of DevSecOps principles.

About ESW

Our purpose is simple: to create moments that matter between people and the brands they cherish. We enable brands to expand their global reach, facilitating simple and seamless ecommerce experiences for consumers worldwide. Through our integration solutions, we deliver a complete international checkout experience, including local duties, taxes, fulfilment, delivery management, and global returns and payment processing capabilities.

Guided by our values - Own It, Champion Simplicity, Win as One, and Debate then Commit - we strive to foster innovation, accountability, and teamwork, creating solutions that inspire trust and drive impactful results.

Why join us?

• Competitive salary and benefits: Your financial well being is important to us. Join ESW and experience the satisfaction of being rewarded for your hard work, dedication and commitment.
• Professional and personal development: Find your spark and leave your mark. We will ensure your talent is nurtured and cultivated for growth and success throughout your career with ESW.
• Hybrid Working: Our Hybrid Working Model empowers you to embrace the flexibility of hybrid working and enjoy the best of office and remote work.
• Diversity, Belonging & Inclusion: When we win, we win together. You'll be part of a culture that values every individual for who they are, fostering an environment where uniqueness is encouraged.

ESW is an equal opportunity employer, and we’re proud of our ongoing efforts to foster diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at ESW are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law.

If you require any reasonable accommodations or adjustments throughout the hiring process, please let us know. We are dedicated to ensuring equal access and opportunity for all candidates.

#LI-hybrid #LI-PP1

Software Engineer II, Reliability (Dublin)

Team Overview:

As a Software Engineer II, Reliability, you will help ensure Klaviyo’s critical platforms are reliable, scalable, and sustainable while enabling rapid product development.

We treat reliability as a core product feature and use software engineering to solve complex systems and operational challenges. Our work spans infrastructure, security, and software engineering, and focuses on building and operating systems that are reliable, secure, and performant at scale.

The SRE team’s charter is to build and operate foundational services and infrastructure, reduce operational toil through automation, and continuously improve systems based on real production learnings. Your work will directly impact how Klaviyo engineers build software and how customers experience our platform every day.

How You’ll Make an Impact:

As a Software Engineer II, Reliability, you will contribute to the reliability and operational excellence of Klaviyo’s platforms by working on well-scoped projects and owning services with support from senior engineers. You will:

• Build, operate, and improve production systems with a focus on reliability, scalability, and performance
• Apply software engineering principles to automate operational tasks and reduce manual toil
• Contribute to the design and implementation of systems using established SRE best practices
• Help define and measure SLIs and SLOs for services you support
• Improve observability through metrics, dashboards, logging, and tracing
• Participate in on-call rotations and respond to production incidents with guidance and support
• Assist with incident investigation and contribute to post-incident reviews and follow-up actions
• Perform basic analysis around system behavior, capacity usage, and scaling characteristics
• Identify reliability issues or operational pain points and work with teammates to address them
• Collaborate with product, platform, and security engineers to ship reliable systems
• Write and maintain clear operational runbooks and system documentation

Who You Are:

You are an early-to-mid career SRE who is comfortable operating production systems and eager to deepen your expertise in reliability engineering. You:

• Have experience operating cloud-native production systems and services
• Write production-quality code (e.g. Python, Go, or similar) to automate operations and improve reliability
• Understand common failure modes in distributed systems, such as dependency failures, resource exhaustion, and partial outages
• Have experience working with containerized workloads and platforms (e.g. Kubernetes) in production environments
• Are comfortable participating in on-call rotations and diagnosing straightforward production issues
• Have experience using observability tools and responding to alerts
• Are familiar with SRE concepts such as SLIs, SLOs, and error budgets, and are learning how to apply them in practice
• Have hands-on experience with infrastructure as code or declarative configuration (e.g. Terraform, Kubernetes manifests)
• Can follow incident response processes and contribute meaningfully during outages
• Are comfortable receiving feedback, learning from incidents, and improving your systems over time
• 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.

Nice to Have:

• Experience supporting security-sensitive systems or internal platforms
• Familiarity with AWS or other cloud providers
• Exposure to messaging or asynchronous systems (e.g. Kafka, RabbitMQ, Celery)
• Interest in performance testing, capacity planning, or resilience work
• Practical experience with algorithms and data structures

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 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

Team Overview

The Infrastructure Security team makes it simple and easy for engineers to make secure choices while developing world-class software at high speed. Security is built in by default—seamless and effortless—making engineers’ lives better and Klaviyo more secure.

Our work sits at the intersection of security, infrastructure, and software engineering. We build cloud-native platforms and services that are reliable, secure, and performant at global scale, forming the foundation that Klaviyo engineers rely on every day.

This role is for engineers who enjoy building modern distributed systems, care about security and reliability, and want to have real impact across a large engineering organization.

How you’ll make an impact

As a Software Engineer on the Infrastructure Security team, you will build and operate the systems that help Klaviyo engineers ship secure software with confidence. You will:

• Design, build, and maintain cloud-native security services used across Klaviyo
• Own meaningful components and services end to end, from implementation through production operation
• Improve the availability, scalability, latency, and efficiency of infrastructure security systems
• Collaborate with senior engineers on system design and architecture, contributing ideas and technical solutions
• Identify performance, reliability, and security issues in distributed systems and drive improvements
• Work extensively with technologies such as Python, Golang, AWS, Kubernetes, Terraform, and modern data stores
• Participate actively in design reviews, code reviews, and whiteboarding sessions
• Contribute to operational excellence through monitoring, alerting, and incident response
• Participate in an on-call rotation with a focus on learning, prevention, and reducing operational toil
• Build tooling, automation, and documentation that improve developer experience and security posture
• Partner with product-facing and platform engineers to ship impactful, secure solutions

Who you are

• You have solid experience building and operating cloud-native, distributed systems in production
• You are comfortable writing production-quality code in a language such as Python or Go
• You have hands-on experience with AWS (or a similar cloud provider) and understand managed services, networking, and IAM concepts
• You have experience working with containers and orchestration platforms such as Kubernetes
• You are comfortable owning services and features independently, while knowing when to ask for feedback or support
• You understand the fundamentals of scalable, multi-tenant architectures and secure system design
• You care about reliability, performance, observability, and security—not just shipping features
• You are comfortable participating in on-call and responding to production issues
• You communicate clearly, collaborate well, and enjoy working through technical problems as a team
• You regularly use modern developer tooling, including AI-powered tools, to improve productivity and code quality

Nice to have

• Experience building or integrating security-focused systems (e.g. secrets management, IAM, authn/z, policy enforcement)
• Familiarity with service meshes, API gateways, or zero-trust architectures
• Experience improving performance in distributed systems or debugging complex multi-service workflows

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

Senior Software Engineer, Reliability (Dublin)

Team Overview:

As a Senior Software Engineer, Reliability, you’ll ensure Klaviyo’s critical platforms are reliable, scalable, and sustainable while enabling rapid product development. We treat reliability as a core product feature and use software engineering to solve complex systems and operational challenges.

Our work spans security, infrastructure, and software development, requiring us to understand systems and engineering.  We build complex, foundational solutions that must be extremely reliable, secure, and performant at global scale.

Our charter is to build and operate foundational services and infrastructure, define clear reliability objectives, reduce operational toil through automation, and continuously improve systems based on real production learnings. The work is highly visible and directly impacts how Klaviyos build software and how customers experience Klaviyo every day.

How You’ll Make an Impact:

As a Senior Software Engineer, Reliability, you will build and operate the platforms, systems, and services that underpin Klaviyo’s reliability and operational excellence. You will:

• Build and operate foundational, security-critical services with a strong emphasis on availability, scalability, latency, and fault tolerance
• Apply software engineering principles to automate infrastructure, reduce operational toil, and improve system reliability at scale
• Design, implement, and evolve systems using SRE best practices
• Define and refine SLIs, SLOs, and error budgets to guide engineering decisions
• Improve observability, alerting, and incident response to reduce mean time to detection and recovery
• Participate in on-call rotations with a focus on sustainable operations and automatic remediations 
• Perform quantitative analysis to understand system behavior, capacity constraints, and scaling limits
• Identify systemic risks and reliability bottlenecks and drive long-term, preventative solutions
• Collaborate closely with product, platform, and security engineers to influence architecture early and ship reliable systems
• Mentor and pair with other engineers, helping raise the bar for reliability, operational maturity, and engineering excellence

Who You Are:

You are a cloud-native, platform-focused SRE who uses software to build and operate reliable production systems at scale.

• You write and maintain production-quality code (e.g. Python, Go, or similar) to build internal platforms, automate operations, and improve system reliability
• You have built, deployed, and operated distributed, cloud-native systems and understand failure modes such as partial outages, dependency failures, resource saturation, and cascading impact
• You have experience operating containerized workloads and platforms (e.g. Kubernetes) in production, including deployment strategies, scaling behavior, and service networking
• You are comfortable participating in on-call rotations and diagnosing production issues
• You have designed and operated observability systems and know how to build actionable alerts that reflect real user and service impact
• You apply SRE concepts such as SLIs, SLOs, error budgets, and burn-rate–based alerting to guide engineering decisions and operational response
• You have hands-on experience with infrastructure as code and declarative configuration (e.g. Terraform, Kubernetes manifests, policy-as-code)
• You have performed capacity planning, load testing, and performance analysis for distributed services and platforms
• You routinely contribute to post-incident reviews and drive concrete, code-focused follow-up actions that prevent recurrence
• You are comfortable reviewing and contributing to technical designs, platform APIs, operational runbooks, and system documentation
• 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.

Nice to Have:

• Experience supporting security-critical platforms or building internal security 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
• A strong comprehension of algorithms and data structures at scale

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.

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 Infrastructure Security team makes it simple and easy for engineers to make secure choices while developing world class software at high speed. Security is built in by default, seamless, and effortless, making engineers’ lives better and Klaviyo more secure.

Our work spans security, infrastructure, and software development, requiring us to understand systems and engineering.  We build complex, foundational solutions that must be extremely reliable, secure, and performant at global scale.

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 hundreds of Klaviyos get their work done every day, and 100’s of thousands of customers use our products with confidence.

How you’ll make an impact:

The Infrastructure Security team builds the internal platforms, systems, and services that serve as the foundational building blocks for how our engineers build securely every day. As a Senior Software Engineer on Infrastructure Security, you will:

• Ship foundational security services to enable Klaviyo engineering to move faster with confidence
• Design and develop systems and processes that enable highly available & scalable systems
• Design, build and deliver software to dramatically improve the availability, scalability, latency, and efficiency of Klaviyo’s services
• Achieve break-throughs in systems throughput by identifying and eliminating bottlenecks
• Leverage technology such as Python, Golang, AWS, Django, Kubernetes, Bash, Terraform, MySQL, Redis, Clickhouse, Iceberg, DataLake, Istio, Postgresql, and more to advance Klaviyo’s platform
• Champion best practices by actively collaborating with other teams in a culture that values whiteboarding and technical design review
• Contribute to the company as a subject matter expert in multiple areas, constantly pushing yourself to be a better engineer and to level up all of your peers within your team and within Klaviyo.
• Mentor and pair with other Klaviyo engineers to build better software by focusing on performance, self-healing system, configuration as code; defensive programming, application security, etc.
• Participate in periodic on call duties with a focus on solving issues when they are discovered, preventing recurrences and minimizing alert fatigue 
• Prototype and advocate for architectural improvements to achieve breakthrough results in Klaviyo systems’ operational scalability and reliability
• Work hand-in-hand with product-facing engineers to ship impactful code
• Perform quantitative investigation to understand and scale Klaviyo systems and manage the cross-functional effort to resolve scalability issues
• Produce and advocate for preventative, upstream solutions with internal stakeholders and external vendors and dependencies
• Confidently make informed, data-driven choices in a fast paced environment with competing priorities

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 with Linux operating systems and computer networking
• You’re comfortable and experienced writing code in a programming language such as Python, Ruby, Go, etc.
• You have deep experience with cloud infrastructure, operating in a high scale environment
• You have strong hands-on experience building and operating highly available 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 security tooling, working with security infrastructure systems like Vault, AWS IAM, WAFs, and more
• Hands-on experience including diagnosing and improving systems performance, database queries, and complex, multi-service workflows.

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.

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 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

Want to play a pivotal role in shaping the future of Gong’s ecosystem and be part of a new team in our Dublin R&D hub?

The Comms Capture team is responsible for Gong's core data – the data pipeline that ingests and capture customer’s interactions from external communication systems (emails, calendars, phone/web conferencing calls, texts). These pipelines are online, are used by all of the company's customers, and forms the basis for a wide range of Gong's products.

NOTE: This position is a hybrid-based role (Dublin office 3 days a week and remote 2 days)

• Dive into core, complex, large-scale backend systems.
• Understand how to implement new features, enhance existing capabilities, and resolve issues within a live, massive system without negatively impacting customers.
• Design and implement scalable, high-performance backend services and APIs using Java, Spring Boot, and cloud technologies.
• Develop and maintain integration infrastructure, enabling third-party applications to seamlessly connect with Gong and extend its functionality.
• Build generic, modular API interfaces that support a wide range of future use cases, ensuring flexibility and reusability.
• Enhance system security, ensuring that Gong’s external-facing capabilities are both powerful and secure.
• Collaborate with internal teams (Product, GTM, and other R&D groups) and external partners to develop solutions that align with business and customer needs.
• Take full ownership of features from design to production, ensuring reliability, maintainability, and performance.
• Contribute to the strategic vision for Gong’s integration ecosystem, thinking beyond short-term tactical solutions.

You should apply if you have...

• 5 + years of backend software development experience, with a strong foundation in Java and modern cloud-based architectures.
• Experience in both application and infrastructure development, with a deep understanding of scalable SaaS solutions.
• Strong proficiency in Java (Spring, etc.) and designing robust, maintainable APIs.
• Experience developing durable systems and using relevant technologies and techniques (kafka, SQS, etc.)
• Experience with cloud platforms (AWS, GCP, or Azure) and building scalable microservices architectures.
• A solid understanding of secure API design and best practices for external integrations.
• Strong communication and collaboration skills- you'll work closely with partners, product teams, and developers across multiple organizations.
• Ability to take ownership and drive projects forward independently.

We are looking for someone who isn't afraid to delve into an existing code base and complex systems, loves to refactor, shape new architecture, think outside the box, and suggest innovative architectural and product solutions.

What makes Engineering at Gong unique? 

Here at Gong, we trust and empower our employees with ownership to solve complex problems, make the right decisions, and build the best products that create radical impact. We call this “Own. Solve. Impact.”  For our engineers, it means it's not just about writing code. You are involved and able to influence the entire process to create the best product.

Perks & Benefits 

• We offer Gongsters a variety of private health insurance plans, designed to fit you and your family’s needs.
• Wellbeing Fund - flexible wellness stipend to support a healthy lifestyle.
• Mental Health benefits with covered therapy and coaching.
• Education & learning stipend for personal growth and development.
• Flexible vacation time to promote a healthy work-life blend.
• Paid parental leave to support you and your family.
• Company-wide recharge days each quarter.

About us 

Gong empowers everyone in revenue teams to improve productivity, increase predictability, and drive revenue growth by deeply understanding customers and business trends; driving impactful decisions and actions. The Gong Revenue AI Platform captures and contextualizes customer interactions, surfaces insights and predictions, and powers actions and workflows that are essential for business success. More than 4,500 companies around the world rely on Gong to unlock their revenue potential. For more information, visit www.gong.io.

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Gong recruiting email communications will always come from the @gong.io domain. Any outreach claiming to be from Gong via other sources should be ignored.

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 https://www.gong.io/gong-io-job-candidates-privacy-notice/ for more details.