About your Team:

Interactive Brokers seeks an individual to join our Technical Operations (TOPS) team in Dublin. To offer the finest online trading experience in the world, Interactive Brokers' TOPS team monitors and provides global operational support for our applications, systems, and other critical business technology 24/7/365.

 What will be your responsibilities within IBKR: 

• Monitor the health of applications, networks, and systems underpinning the Interactive Brokers global brokerage system. 
• Analyse, troubleshoot, escalate and resolve brokerage system operational issues. 
• Participate in Post-Incident review in collaboration with Software Development, customer service and infrastructure teams. 
• Provide internal 2nd-level technical support to various teams. 
• Monitor batch scheduled jobs while troubleshooting and escalating any delays or failures. 
• Analyse existing business workflows and participate in developing new process monitoring tools. 
• Act as the primary escalation point for all brokerage system technical issues.
• Investigate and triage real time trade issues with internal and external parties.

 What required skill’s you need:

• Strong communication skills, and must be fluent in English. 
• A Bachelor’s Degree or apprenticeship in a technical discipline
• A working knowledge of general computing and networking concepts. 
• Experience working with Linux operating systems and related technologies.
• The ability to analyse and solve problems promptly and accurately in a fast-paced environment.
• Ability to work occasional weekends and day/night shifts.

Preferred Skills:

• Knowledge of the securities and commodities markets.
• Prior experience in retail or institutional trade support
• Experience with Unix / Linux style command line interfaces
• Previous experience with scripting languages (e.g., Shell, Perl, Python) 
• Desire to explore and learn new concepts, systems and technologies. 

 To be successful in this position, you will have the following: 

• A strong desire to expand your financial and technical knowledge base.
• Self-motivated and able to handle tasks with minimal supervision.
• Superb analytical and problem-solving skills.
• Excellent collaboration and communication skills.
• Outstanding time management skills.

Company Benefits & Perks

• Office location: North Dock One, 91/92 North Wall Quay, Dublin, D01 H7V7
• Competitive compensation packages including private healthcare, pension, life insurance, income protection, and discretionary annual bonus
• Global Employee Assistance Program
• Cycle to work scheme and Tax Saver commute scheme
• Free lunch for all employees working from the office, up to a value of 14.50 per day
• Education reimbursement and learning opportunities

We are seeking an experienced and strategic Principal Security Architect to lead the design, implementation, and oversight of enterprise-class network and cloud security across our global infrastructure. This role blends deep technical expertise with strategic leadership and focuses on securing our on-premises data centers, public cloud platforms, and enterprise network edge using best-in-class tools like Palo Alto and Cisco.

This is a hands-on leadership role that influences global security architecture, mentors’ engineers, and collaborates with cross-functional teams to protect our digital assets at scale.

Key Responsibilities

Security Architecture & Engineering

• Lead the design and evolution of security controls across hybrid cloud and on-prem environments.
• Architect and implement network segmentation, next-gen firewall policies, and zero-trust access models.
• Define secure connectivity strategies across WAN, remote access, data centers, and cloud networks.

Technology Ownership

• Serve as SME for Palo Alto Networks firewalls, Prisma Access, and Panorama.
• Lead security configuration, lifecycle management, and policy enforcement on Cisco security platforms (ASA, ISE, Firepower, Umbrella).
• Harden security for multi-cloud platforms (AWS, Azure, GCP) including IAM, VPCs, firewalls, and API security.

Operations & Response

• Lead threat detection and response for network and infrastructure incidents.
• Collaborate with SOC, GRC, and infrastructure teams to close security gaps and maintain compliance.
• Continuously improve security monitoring, alerting, and forensics capabilities.

Security Automation & Tooling

• Integrate security into CI/CD pipelines and infrastructure provisioning via Terraform, Ansible, or Python.
• Automate security posture checks and drift detection in public cloud and data center environments.
• Work with vulnerability management platforms and integrate findings into remediation workflows.

Governance, Risk & Compliance

• Define security baselines and configuration standards for networking and infrastructure teams.
• Ensure compliance with frameworks such as ISO 27001, NIST, CIS, and industry-specific requirements.
• Participate in audits, risk assessments, and security reviews for new technologies and vendors.

Required Qualifications

• 10+ years of experience in infrastructure or network security, with 3+ years in a principal or lead role.
• Deep expertise in Palo Alto Networks products and Cisco security platforms.
• Strong understanding of cloud security architecture and native security tools in AWS, Azure, and/or GCP.
• Experience securing on-premise and hybrid data centers, including virtualization and SDN technologies.
• Proven experience designing and enforcing enterprise security policies across global networks.
• Solid knowledge of routing/switching protocols (BGP, OSPF), VPNs, DNS security, and NAC.
• Familiarity with SIEM, NDR, and EDR tools for detection and response.
• Scripting/automation proficiency (Python, Bash, PowerShell, or IaC tools).

Preferred Qualifications

• Certifications such as PCNSE, CISSP, CCNP Security, AWS/Azure Security Specialty.
• Experience with identity federation (SAML, OAuth), secrets management, and PKI.
• Background in segmentation frameworks (e.g., SCADA/ICS, OT security), or data loss prevention (DLP).
• Experience in DevSecOps or cloud-native security tooling.

We are an equal-opportunity employer and do not discriminate because of race, color, religion, sex, national origin, ancestry, marital status, veteran status, age, disability, sexual orientation or gender identity or expression or any other legally protected category. InterSystems is an E-Verify Employer in the United States.

Your Role:

The Security Consultant plays a key role in implementing and enabling Tenable’s Exposure Management solutions to help organizations effectively manage and reduce cyber risks. This role onboards Tenable technologies, following industry standards and best practices, to deliver customized solutions that address vulnerabilities across a client’s attack surface. This role's primary focus will be on client billable work, where you will ensure the efficient identification and mitigation of vulnerabilities. Additionally, the role will have the chance to broaden your knowledge across the Tenable portfolio through hands-on experience and learning opportunities facilitated by the Professional Services Organization.

Organisation Structure:

• Reports to: Professional Services Delivery Manager/ Director.
• Direct reports: None.

Your Opportunity:

Client Engagement & Relationship Management:

• Develop a deep understanding of the client’s business and unique security needs to deliver tailored engagements that exceed expectations.
• Build and maintain positive relationships with clients, ensuring ongoing satisfaction and partnership.
• Provide clients with continual insights and consultative advice based on experience with Tenable products, their industry, established standards, and best practices.

Subject Matter Expertise and Solution Implementation & Enablement:

• Support clients with the installation, configuration, and operation of Tenable solutions, ensuring they are effectively implemented to meet business and security goals.
• Oversee upgrades and migrations to new hardware or software, facilitating smooth transitions with minimal disruption.
• Offer expert guidance on implementing best practices with Tenable solutions to optimize security workflows and operational efficiency.
• Assist clients in developing and maintaining security policies, standards, and procedures, ensuring they align with industry standards and regulatory requirements.
• Provide ongoing value through insights and consultative advice on Tenable products, tailored to client needs and industry best practices.
• Share thought leadership on effective deployment and utilization of Tenable One solutions.
• Guide clients in implementing best practices and developing Exposure Management Programs.
• Assess user needs and customer requirements to advance the maturity of their Exposure Management program.

Value Delivery and Best Practices:

• Deliver additional value through continual insights and consultative advice based on Tenable products, client needs, industry standards, and best practices.
• Provide thought leadership on methods and best practices for deploying and using Tenable One solutions.
• Advise clients on process best practices and assist in developing Exposure Management Programs.
• Research user needs and assess customer requirements to enhance the maturity of their Exposure Management program.

Customer Engagement and Satisfaction:

• Ensure overall customer satisfaction while supporting delivery revenue objectives.
• Execute large customer engagements, understanding client business and unique needs to exceed expectations.
• Independently manage client escalations on assigned projects, coordinating with the delivery team and other Tenable departments as needed.
• Develop and maintain positive client relationships and train client staff on the implementation, configuration, and best practices of the Tenable suite.

Additional Responsibilities:

• Perform other duties as assigned to support the success of the Professional Services team and the overall organization.

What You'll Need:

• 5+ years of experience in the Information Technology/Cyber Security field and professional services experience.
• Bachelor’s degree in a related technical field such as Information Technology, Computer Science, or equivalent work experience.
• Strong written and verbal communication skills. Must be comfortable leading 3+ hour calls and keeping up the progression of tasks on the call while assuring that all relevant topics are addressed.
• Strong analytical skills and troubleshooting skills, with the ability to diagnose and resolve complex security issues.
• Proficiency in assessing and identifying threats and risks related to Exposure Management, including vulnerabilities and weaknesses in host or network configurations.
• Recent experience performing vulnerability scans, configuration audits, and security monitoring with core Tenable products, or other industry solutions.
• Familiarity with Metasploit and related tools commonly used to exploit vulnerabilities.
• Familiarity with application security testing, OWASP and common exploitable web application threats in Exposure Management.
• Knowledge of auditing and configuration frameworks such as ISO 17799, CIS, PCI, GLBA, and HIPAA is preferred.
• Proven experience managing client expectations, building relationships and delivering consultative advice to ensure successful outcomes.
• Understanding of IT security principles associated with networks, operating systems, firewalls, databases,  cloud infrastructure, identity and access management with experience in one or more of the fields.
• Familiar with developing integrations via REST API using known coding languages such as Python.
• Knowledge and understanding of SCADA and OT systems is a plus.
• Industry-recognised technical certifications are preferred.

#LI-AV1

#LI-Hybrid

We’re seeking curious minds like yours to collaborate with full-time engineers and cross functional teammates, learn development standard methodologies, and gain practical software engineering experience. 

Software engineering interns are fully integrated into software engineering teams across our Product and Technology organization. Interns spend their summer pushing production-level code to make lasting contributions across MongoDB’s products and services for our internal teams, external customers, and developer end users.

What we are looking for in you (qualifications)

• In the process of receiving a Bachelor’s or Master's degree in Computer Science, Computer Engineering, or a related field.
• Have a foundation in computer science theory, with proficiencies in data structures, algorithms, and software design.
• Fluent in any one of the following programming languages: Java, Python, Go, C++, Javascript, Node.js - or a comparable object-oriented programming language.
• Have a minimum of one quarter/semester remaining in university studies after the internship concludes. Graduation date in Fall 2026, Spring 2027, Summer 2027, Fall 2027, or Spring 2028.
• Must be authorized to work in Ireland and provide the Company with copies of all relevant documents, if requested. Company sponsorship may be available for eligible candidates applying for certain roles.

What you'll find at MongoDB

• Authentic Culture: A workplace where you are encouraged to bring your whole self to work, we believe that Embracing the Power of Differences is the best way to broaden our own perspectives and foster innovation.
• Personalized Mentorship: Pair up with an engineering Mentor, a Program Advisor from the Early Talent Recruitment Team, and an Employee Resource Group (ERG) Guide to foster your growth.
• Career Coaching Sessions: Access to a tailored training program designed uniquely for interns’ personal and professional development.
• Work-Life Harmony: Embrace "Bloom for Interns" with access to mental and physical health benefits, paid time off, free lunch, and more!
• Impactful Projects: Contribute to projects where you can Make it Matter - your meaningful work will see the light of day.
• Exclusive Networking: Attend "Speaker Series" and "Get to Knows" to connect with our executives and departmental leaders.
• Vibrant Community: Build connections with fellow interns and join after-work social events, virtual gatherings, and local city activities to create connections and friendships.
• Relocation Support: Financial assistance & housing, to allow you to comfortably settle into your new location.
• Path to Full-Time: A chance to see if MongoDB is where you see yourself long term with the possibility of receiving a full time offer at the end of the summer!

MongoDB internships are full-time (40 hours/week) for 10 consecutive weeks lasting from dates in June until August. All interns are considered hybrid employees, designated the "in office" working model and are expected to be in their office location 3-5 days a week.

Due to the high volume of applications our Early Talent Recruitment Team receives, it may take up to six weeks to hear back regarding an update on your application status. Our goal is to get back sooner, but we appreciate your patience as our team carefully reviews each application.

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 Early Talent Recruiter.

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: 425366

The Team

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

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

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

The ideal candidate should: 

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

Responsibilities: 

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

Strong candidates may also have experience with:

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

About MongoDB

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

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

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

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

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

MongoDB is an equal opportunities employer.

REQ ID: 2263171786

We are seeking passionate and driven individuals with a strong foundation in computer science to join our team. In this role, you'll have the opportunity to design, build, and test software that enhances MongoDB products while solving complex technical challenges. You’ll collaborate with cross-functional teams, balance innovation with delivery, and contribute to features that empower our global community of users. Join us in a supportive and inclusive environment that values your unique perspective and fuels your growth.

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

What we are looking for in you

• In the process of receiving or having received a Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field
• Recent graduates (including Summer 2026) or professionals with up to 18 months of experience.
• Have a foundation in computer science theory, with competencies in data structures, algorithms, and software design
• Proficient in one of our commonly used languages which include C++, Go, Ruby, Python, Java, Javascript, Node.js, or comparable high level programming languages
• Experience writing and testing software whether as part of an internship, in a personal project, in a coding competition, or for research

What you'll find at MongoDB

• Writing and testing software in commonly used high level programming languages, such as C++, Go, Ruby, Python, Java, Javascript, Node.js
• Identifying, designing, testing, and supporting new features in MongoDB products, particularly utilizing competencies in data structures, algorithms, and software design
• Leading software projects that help users maintain and understand their MongoDB deployments
• Solving problems with context in mind, balancing the needs of the team with the desire to get to the bottom of issues
• Maintaining a balance between delivering software and performing research and development
• Working closely with cross functional teams to create end user features that deliver quality software to our clients
• A fun community of fellow New Grads to attend social events, hangouts, and games nights
• Membership within our Employee Resource Groups where you can gain mentorship and learning opportunities from employees with a shared background or common identity
• A workplace culture where you are encouraged to bring your whole self to work - we believe that Embracing the Power of Differences is the best way to broaden our own perspectives and foster innovation

About Us

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 Early Talent Recruiter.

MongoDB is an equal opportunities employer.

Req ID: 1273361981

We are looking for a Senior Developer Advocate to join our Developer Relations team. In this role, you will focus on engaging SMB customers to help accelerate their success on Atlas and unlock the full potential of the document model, creating inspiring resources and content, and collaborating with a global team of skilled Developer Advocates.

You will empower developers—from startups to fast growing SMBs—to integrate advanced data capabilities into their applications and solutions. If you are passionate about helping developers build, launch, and scale their applications, we invite you to join us in shaping the future of development on MongoDB.

Our Developer Relations teams are distributed across the globe, with most members working remotely. This position will be based in Dublin, Ireland. To see what our team is doing, check out our content on YouTube, Dev, and Medium.

This role can be based out of our Dublin office.

Candidate Profile

At the foundation of your passion and expertise is a love to equip others. Our ideal candidate will have at least 3 years of experience in a developer, support, or solutions role. They will have 5+ total years of experience through any combination of builder role (such as data scientist or developer), educator role (such as developer advocate or developer educator), or customer-facing role (such as solution architect). 

You are an effective teacher who can explain complex topics in a simple and easy-to-understand way. You will also develop a strong understanding of MongoDB's core capabilities, data modeling, and emerging trends in our industry. You will guide users to discover the increasing capabilities of our platform including Vector Search and Voyage AI. 

Though the expertise you bring will be unique, our team is built to work together to share knowledge and help each other grow. You will work with your peers and with cross-functional teams (Product, Marketing, Analytics, etc)  at all levels, asynchronously and across time zones, supporting peer reviews of code, demos, sessions, and other content. You should have a genuine passion for equipping other developers to be more productive and successful. 

Position Expectations

• Develop an expertise understanding of core MongoDB database functionality and Atlas features such as Search, Vector Search, Data Federation, Online Archive, and Streaming
• Develop and deliver workshops, webinars, and design reviews for both general audiences as well as for specific customers in order to enable their creation of MongoDB document schemas for their specific workloads
• Communicate insights gathered from developer engagement, through code and content, to inform team members and enable other developers
• Create technical content to evangelize and educate developers across various formats and channels
• Deliver virtual and in-person developer enablement sessions to audiences of up to 400 developers

Requirements

• Experience in creating effective developer-focused code and content
• At least 5 years of experience in both customer-facing and developer-centric roles such as Technical Support, Solutions Architecture, Developer Relations, working with development teams in the design of high performance, scalable database implementations
• At least 3 years of experience (or the equivalent) of consulting with development teams as a non-member of the team
• Proficiency with at least one of the languages most popular with our customers (Java, Python, Javascript)
  Familiarity with 2 or more of the languages popular with our customers (Java, Python, Javascript or Typescript, C#, Rust, PHP)
• Strong presentation skills (both in-person and virtually), with ability in conducting live streams, and public speaking at events
• Written and spoken English language proficiency
• Ability and willingness to travel (up to 10%) primarily within the UK, Europe, and attend team meetings.
• Ability and willingness to shift working schedule to accommodate overlap with US or Asia timezones
• Experience specifically with MongoDB or similar NoSQL/document databases is a plus. 

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: 4263325009

MongoDB’s Developer Experience organization is responsible for ensuring developers across every major language ecosystem can use MongoDB seamlessly, intuitively, and idiomatically. We build and maintain the rich set of client libraries and integrations that serve as the primary interfaces to the database, spanning more than ten programming languages and frameworks.

We’re looking for a Senior Product Manager for Python Developer Experience who will champion MongoDB’s relationship with the Python community, ensuring Python developers and data scientists have the best possible experience using MongoDB. You’ll define the strategy and roadmap for our Python driver, integrations (such as with Django, Flask and FastAPI), and tooling, informed by the needs of the ecosystem. You’ll collaborate closely with a world-class, globally distributed engineering team, but your focus is outward: understanding and serving Python developers where they are.

You’re a strong fit if you have hands-on experience building with Python and can translate developer pain points into clear, actionable product direction. You thrive at the intersection of code and product, care deeply about developer experience, and have a passion for learning, experimentation, and community engagement.

You will own the strategic vision, product strategy, and roadmap for how MongoDB serves Python developers—defining how our portfolio of client libraries, framework integrations, and ecosystem partnerships should evolve to meet both current developer expectations and future trends in the Python ecosystem. Your work will shape how developers build with MongoDB, ensuring a seamless, idiomatic experience that balances short-term developer needs with long-term platform differentiation and secures MongoDB’s place at the center of modern Python stacks such as the FARM stack.

You will collaborate closely with engineering, documentation, DevRel, and community teams to deliver a cohesive developer experience, and act as a champion for the Python ecosystem within MongoDB. You’ll stay ahead of trends, identify strategic opportunities, and make evidence-based decisions that drive adoption and delight.

As part of onboarding, you will build and document an application using MongoDB and a Python framework of your choice to gain firsthand insight into the developer experience. You’ll also engage directly with community forums, conferences, and open-source contributors to deepen your understanding, validate direction, and build trust with developers.

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

About the team

We are a highly collaborative team of Product Managers, Engineers, Product Analysts, and Product Marketers all working together to make the experience of working with data easy and enjoyable for developers.

We are a distributed team; stretching from our offices in Dublin and NYC to other locations in  Europe, the US and Canada. Every now and then, we all meet in one place for project kickoffs, workshops, and other team events.

The ideal candidate for this role should have

• 3-5 years of product management experience with a track record of shipping developer-facing tools, integrations or APIs
• 3-5 years of commercial experience developing web applications in Python (the interviews for this position will include a live coding component meant to showcase your understanding of idioms, patterns, and evolving runtime environments) - including Django, FastAPI and Flask
• Experience with or exposure to Machine Learning and Data Science concepts and tools, including familiarity with common ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) and data analysis libraries (e.g., Pandas, NumPy), as well as an understanding of data pipelines and model deployment
• Experience with AI development, including familiarity with Python AI frameworks and libraries such as Langchain, Langgraph, or LlamaIndex for deploying and managing AI solutions
• Ability to communicate sophisticated technical concepts simply and convincingly to a wide range of audiences
• Ability to distill customer use cases and requirements, write comprehensive business cases and execute on them
• Curiosity, a positive attitude, and a drive to continue learning
• Foster an inclusive and respectful work environment according to MongoDB's Core Values

Position Expectations

• Explore the problem space, build connections with your customer-base, interact with the users in the Python community, formulate the vision and the strategy and maintain the roadmap for your area, keeping it aligned with the company’s strategic priorities
• Deeply understand all aspects of the business — your job is to ensure a business outcome, not just product definition!
• Work closely with the product marketing and engineering teams to design, architect, implement and ship new capabilities of the MongoDB developer experience to delight users
• Collect and analyze data that will drive product decisions
• Work with thought leaders from the respective language communities, establish credibility, and weigh in discussions
• Keep your pulse on software engineering trends across language communities and advocate for new languages, frameworks etc  to be added to our portfolio
• Engage in various go to market activities such as collaborating on a marketing campaign, running a survey, or producing sales messaging

Success Measures

• In three months, you will have onboarded on the current MongoDB technologies & tools, and built an application with Python and MongoDB, putting it in public on Github; successfully triaged new issues with the engineering team, taken ownership of the existing roadmap and the product backlog; got to know the team (this team is globally distributed) and started building relationships inside the company
• In six months, you will have reviewed / refined existing user stories and JIRA issues, prioritized and started executing on them with your  engineering team; you will have also researched new and existing markets, identified some new trends and started their exploration in a methodical way
• In nine months, you have produced at least two GA releases of tier 1 drivers or integrations, several service releases, delighted users with new/improved experiences (you’ll need to define your metrics to measure customer success with your deliverables as well), identified new opportunities & refined your roadmap, contributed to other projects, presented to customers, user groups, and conferences, and gained strong support of your team and other stakeholders

About MongoDB

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

With offices worldwide and 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: 4263289662

MongoDB’s Developer Experience organization is responsible for ensuring developers across every major language ecosystem can use MongoDB seamlessly, intuitively, and idiomatically. We build and maintain the rich set of client libraries and integrations that serve as the primary interfaces to the database, spanning more than ten programming languages and frameworks.

We’re looking for a Senior Product Manager for Python Developer Experience who will champion MongoDB’s relationship with the Python community, ensuring Python developers and data scientists have the best possible experience using MongoDB. You’ll define the strategy and roadmap for our Python driver, integrations (such as with Django, Flask and FastAPI), and tooling, informed by the needs of the ecosystem. You’ll collaborate closely with a world-class, globally distributed engineering team, but your focus is outward: understanding and serving Python developers where they are.

You’re a strong fit if you have hands-on experience building with Python and can translate developer pain points into clear, actionable product direction. You thrive at the intersection of code and product, care deeply about developer experience, and have a passion for learning, experimentation, and community engagement.

You will own the strategic vision, product strategy, and roadmap for how MongoDB serves Python developers—defining how our portfolio of client libraries, framework integrations, and ecosystem partnerships should evolve to meet both current developer expectations and future trends in the Python ecosystem. Your work will shape how developers build with MongoDB, ensuring a seamless, idiomatic experience that balances short-term developer needs with long-term platform differentiation and secures MongoDB’s place at the center of modern Python stacks such as the FARM stack.

You will collaborate closely with engineering, documentation, DevRel, and community teams to deliver a cohesive developer experience, and act as a champion for the Python ecosystem within MongoDB. You’ll stay ahead of trends, identify strategic opportunities, and make evidence-based decisions that drive adoption and delight.

As part of onboarding, you will build and document an application using MongoDB and a Python framework of your choice to gain firsthand insight into the developer experience. You’ll also engage directly with community forums, conferences, and open-source contributors to deepen your understanding, validate direction, and build trust with developers.

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

About the team

We are a highly collaborative team of Product Managers, Engineers, Product Analysts, and Product Marketers all working together to make the experience of working with data easy and enjoyable for developers.

We are a distributed team; stretching from our offices in Dublin and NYC to other locations in  Europe, the US and Canada. Every now and then, we all meet in one place for project kickoffs, workshops, and other team events.

The ideal candidate for this role should have

• 3-5 years of product management experience with a track record of shipping developer-facing tools, integrations or APIs
• 3-5 years of commercial experience developing web applications in Python (the interviews for this position will include a live coding component meant to showcase your understanding of idioms, patterns, and evolving runtime environments) - including Django, FastAPI and Flask
• Experience with or exposure to Machine Learning and Data Science concepts and tools, including familiarity with common ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) and data analysis libraries (e.g., Pandas, NumPy), as well as an understanding of data pipelines and model deployment
• Experience with AI development, including familiarity with Python AI frameworks and libraries such as Langchain, Langgraph, or LlamaIndex for deploying and managing AI solutions
• Ability to communicate sophisticated technical concepts simply and convincingly to a wide range of audiences
• Ability to distill customer use cases and requirements, write comprehensive business cases and execute on them
• Curiosity, a positive attitude, and a drive to continue learning
• Foster an inclusive and respectful work environment according to MongoDB's Core Values

Position Expectations

• Explore the problem space, build connections with your customer-base, interact with the users in the Python community, formulate the vision and the strategy and maintain the roadmap for your area, keeping it aligned with the company’s strategic priorities
• Deeply understand all aspects of the business — your job is to ensure a business outcome, not just product definition!
• Work closely with the product marketing and engineering teams to design, architect, implement and ship new capabilities of the MongoDB developer experience to delight users
• Collect and analyze data that will drive product decisions
• Work with thought leaders from the respective language communities, establish credibility, and weigh in discussions
• Keep your pulse on software engineering trends across language communities and advocate for new languages, frameworks etc  to be added to our portfolio
• Engage in various go to market activities such as collaborating on a marketing campaign, running a survey, or producing sales messaging

Success Measures

• In three months, you will have onboarded on the current MongoDB technologies & tools, and built an application with Python and MongoDB, putting it in public on Github; successfully triaged new issues with the engineering team, taken ownership of the existing roadmap and the product backlog; got to know the team (this team is globally distributed) and started building relationships inside the company
• In six months, you will have reviewed / refined existing user stories and JIRA issues, prioritized and started executing on them with your  engineering team; you will have also researched new and existing markets, identified some new trends and started their exploration in a methodical way
• In nine months, you have produced at least two GA releases of tier 1 drivers or integrations, several service releases, delighted users with new/improved experiences (you’ll need to define your metrics to measure customer success with your deliverables as well), identified new opportunities & refined your roadmap, contributed to other projects, presented to customers, user groups, and conferences, and gained strong support of your team and other stakeholders

About MongoDB

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

With offices worldwide and 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: 4263289662

As a Staff Technical Program Manager, you will partner with key Engineering, Product, Product Design, Marketing, and Analytics stakeholders to conduct data-driven experiments and deliver features for MongoDB. As a seasoned program leader, you will be responsible for one of our most mission-critical programs this fiscal year, and own executive level communication related to the program.

We are looking to speak to candidates who are based in Dublin for our hybrid working model, or remote within Ireland.

The right candidate for this role will be:

• Extensive experience working in an engineering organization leading complex cross-functional technical programs
• Extensive experience of Software development background, with Cloud storage and compute products
• Experience with Service Oriented Architecture and Cloud Infrastructure
• Able to leverage their knowledge and experience to influence technical discussions, summarizing outcomes and next steps
• Skilled at communicating across a diverse set of engineers and stakeholders
• Hyper-organized and capable of coordinating across multiple independent work streams and organizations
• A role model for effective execution practices, driven by an attuned sense of priority and urgency
• Able to leverage their experience in program delivery to influence improvements to our tools, operations, and architecture
• Trained in working with project tracking software (e.g. Jira, Rally, MS Project)
• Familiar with MongoDB or a comparable technology
• Interested in business automation work such as scripting in Python, Google Apps Script and Slack.

Position Expectations:

• Leverage technical acumen and analytical skills to drive engineering programs forward and maximize business value delivery
• Recognize patterns in a sea of information and take action accordingly
• Design, maintain, and improve the processes and tools that power program delivery
• Build strategic partnerships with Product and Engineering stakeholders
• Expand knowledge into new domains as called upon
• Act as a mentor to junior TPMs and lead by example
• Embody MongoDB's core values and leadership principles

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: 3263275656

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

As a Sr. Staff Technical Program Manager, you will partner with key Engineering, Product, Product Design, Marketing, and Analytics stakeholders to conduct data-driven experiments and deliver features for MongoDB. As a seasoned program leader, you will be responsible for one of our most mission-critical programs this fiscal year, and own executive level communication related to the program.

We are looking to speak to candidates who are based in Dublin for our hybrid working model, or remote within Ireland.

The right candidate for this role will be:

• Experienced with 15+ years of working in an engineering organization leading complex cross-functional technical programs
• Experienced with 10 years of Software development background, with Cloud storage and compute products
• Experience with Service Oriented Architecture and Cloud Infrastructure
• Able to leverage their knowledge and experience to influence technical discussions, summarizing outcomes and next steps
• Skilled at communicating across a diverse set of engineers and stakeholders
• Hyper-organized and capable of coordinating across multiple independent work streams and organizations
• A role model for effective execution practices, driven by an attuned sense of priority and urgency
• Able to leverage their experience in program delivery to influence improvements to our tools, operations, and architecture
• Trained in working with project tracking software (e.g. Jira, Rally, MS Project)
• Familiar with MongoDB or a comparable technology
• Interested in business automation work such as scripting in Python, Google Apps Script and Slack

Position Expectations:

• Leverage technical acumen and analytical skills to drive engineering programs forward and maximize business value delivery
• Recognize patterns in a sea of information and take action accordingly
• Design, maintain, and improve the processes and tools that power program delivery
• Build strategic partnerships with Product and Engineering stakeholders
• Expand knowledge into new domains as called upon
• Act as a mentor to junior TPMs and lead by example
• Embody MongoDB's core values and leadership principles

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: 3263275656

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

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

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

Responsibilities:

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

Qualifications:

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

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

About MongoDB

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

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

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

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

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

MongoDB is an equal opportunities employer.

Req ID: 426183

The MongoDB Query Testing Tools Team is hiring Software Engineers who want to join us in building a state-of-the-art distributed query system. Our Team builds tooling that allows us to ship Query Engine features with high confidence in both correctness and performance, making it a great fit if you like seeing your work protect real customers at scale. The team develops advanced testing frameworks (end-to-end testing, fuzzing, property-based testing) as well as performance measurement tools, including high-volume workload generation tools.

The team is part of the Query organization which is responsible for the MongoDB Query Language and the lifecycle of each query, from parsing to optimization to plan selection; our engineers work on maintaining and improving our optimization and execution frameworks and building new query language features to help power our customers' critical workloads. Throughout all our work, our highest priority is always ensuring that customer queries are answered correctly. The successful applicant will be responsible for helping us to maintain the highest standards of quality through rigorous development, testing and automation strategies.

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

Candidate Profile

• 3+ years of experience in software development and/or performance engineering.
• Fluency in Python, Javascript or Typescript
• Enjoys chasing down difficult problems in a distributed environment
• Able to make complex concepts easy to grasp in written and spoken English
• Able to decompose and solve complex problems and can rapidly iterate by validating new hypotheses and rethinking current assumptions
• Demonstrating hands-on experience working with relational or NoSQL databases is a plus
• B.Sc. in Computer Science or related field, or equivalent practical experience. Advanced degrees of experience in database query engines is a plus
• Experience in developing automation test frameworks is a plus.
• Experience in query processing engine testing is a strong plus.
• Experience in developing performance test plans and monitoring frameworks is a strong plus.
• Background in database query engines or compilers is a strong plus.

Position Expectations

• Design, develop, and maintain automated testing frameworks, Performance automated tests and internal tooling for the MongoDB query engine
• Collaborate closely with peers to understand new features and functionalities, ensuring testability, test frameworks, tooling and coverage for automating tests of both happy-path and edge-case scenarios.
• Provide feedback in code reviews, focusing on the robustness and reliability of code changes.

Success Measures

• Within three months, you have gained an understanding of MongoDB's MQL syntax and its semantics, as well as the behavior of our unique query engine. You have contributed to several code bases on Mongodb engine internal tooling. 
• By six months, you have established yourself as a key owner of automated test frameworks, and demonstrated improvements in test efficiency and coverage. 
• After twelve months, you are instrumental in ensuring quality of major new features, setting an example for new team members in best practices for correctness and performance test automation and internal tooling.

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: 4263348170

At MongoDB, we recognize that an inclusive workforce is the best way to broaden our perspectives, foster innovation, and enable a sustainable competitive advantage. Our ‘Women in Tech Summit’ is a virtual early identification opportunity for students who are passionate about exploring a career in Tech. All students are welcome to apply.

The Summit application process leads to an interactive day of learning and culminates with the chance to interview for our Summer 2027 internships. During the Summit, attendees will connect with MongoDB employees from across the company, dive into our culture, and explore our Early Talent Programs.

We are excited to offer two distinct tracks tailored to your career aspirations:

• The Developer track is for the bold creators and problem-solvers who are passionate about hands-on software engineering. Focusing on students studying Computer Science or related fields, this track offers a deep dive into the life of a builder. Whether you are interested in shipping high-impact, customer-facing products, optimizing low-level systems, developing internal tools for our global workforce, or architecting complex data engineering pipelines. If you enjoy solving complex challenges through code and want to see your work drive the world’s leading developer data platform, this track is for you. 
• The Technology+ track is built for technical visionaries who want to apply their skills in specialized domains outside of software engineering. This track explores how technical expertise drives massive impact at the high-stakes intersection of technology and strategy. It is designed for students interested in roles such as Product Management, Technical Writing, Security, and Curriculum Engineering. If you are a technical thinker who enjoys solving the "big picture" puzzles—from securing our ecosystem and analyzing data trends to defining product vision and documenting complex systems—Technology+ offers a pathway to a high-impact innovation at MongoDB. 

Selecting a track helps us understand your career interests and aspirations, but the core Summit experience will be consistent for all attendees. Regardless of track, you’ll participate in the same overall program, with sessions and conversations tailored to your personal career goals.

Developer Track

What is the process?

• Apply to the Summit
• Choose Developer Track in the application questions 
• Complete and pass our Recruiter Phone Screen interview
• Complete and pass our Karat Technical Video interview
• Attend our virtual Summit on May 21st, 2026 
• Complete our final round interview in early Fall for a summer 2027 software engineering internship role
• 3 back to back video interviews with MongoDB engineers to evaluate your technical and behavioral skills

What we are looking for in you:

• In the second year of receiving a Bachelor’s or Master's degree in Computer Science, Computer Engineering, or a related field (Graduating between December 2027 and early Summer 2029)
• Knowledge in any one of the following programming languages: Java, Python, Go, C++ - or a comparable object-oriented programming language
• Must be authorized to work in Ireland and provide the Company with copies of all relevant documents, if requested.

Technology+ Track

What is the process?

• Apply to the Summit
• Choose Technology+ in the application questions and specify up to 3 roles you are interested in pursuing 
• Complete and pass our Recruiter Phone Screen interview
• Attend our virtual Summit on May 21st, 2026 
• Complete the rest of the interview process in early Fall - early Winter for a Summer 2027 internship role

What we are looking for in you:

• In the second year of receiving a Bachelor’s or Master's degree in Computer Science, Computer Engineering, Business Administration, Information Security, Information Systems, and related fields (Graduating between December 2027 and early Summer 2028)
• Ability to simplify complex technical concepts and interest in the intersection between business and technology 
• Analytical skills within research, data analysis, reporting, and storytelling 
• Project, program and/or product management skills
• Must be authorized to work in Ireland and provide the Company with copies of all relevant documents, if requested.

About Us

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 Early Talent Recruiter.

MongoDB is an equal opportunities employer.

Req ID: 426093

MongoDB Technical Services Engineers use their exceptional problem solving and customer service skills, along with their deep technical experience, to advise customers and to solve their complex MongoDB problems. Technical Service Engineers are experts in the entire MongoDB ecosystem - database server, drivers, cloud and infrastructure. This also includes services such as Atlas (database as a service), or Cloud Manager (which helps customers with automation, backup and monitoring of their MongoDB systems). Our engineers combine their MongoDB expertise with passion, initiative, teamwork and a great sense of humor to help our customers to be successful with MongoDB.

We are looking to speak to candidates who are interested in working out of our Dublin office under our in-office working model Monday to Friday for the first 3-6 months depending on ramping speed. 

Once considered ramped, they will transition to a permanent (Tuesday to Saturday) 9am-6pm work week (with 3 in-office days) to provide weekend coverage alongside other peers. Saturdays and Sundays are considered fully online workdays and not an on-call shift.

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

Cool things you’ll do

You'll be working alongside our largest customers, solving their complex challenges - resolving questions on architecture, performance, recovery, security, and everything in between. You'll be an expert resource on best practices in running MongoDB at scale, whatever that scale may be. You'll be an advocate for customers' needs - interfacing with our product management and development teams on their behalf. And you'll contribute to internal projects, including software development of support tools for performance, benchmarking, and diagnostics.

What you need

We consider all candidates with an eye for those who are self-taught, insatiably curious, and multi-faceted.

The ideal candidates should have strong technical experience in one (or more) of the following areas

• Systems administration
• Distributed systems
• Network Administration
• Database architecture and administration
• Application Architecture
• Data architecture and design
• Performance tuning and benchmarking
• Extra bonus points if you have experience in one or more of Java, Python, Ruby, C, C++, C#, Javascript, node.js, Go, PHP, or Perl

If you have an operations background, we prefer experience administering large-scale production environments, including hardware, operating systems (e.g. Linux, Windows), networks (including firewalls and load balancers), as well as cloud-based resources (e.g. AWS, Azure, Google Cloud Platform).

It’s crucial for every candidate that they can check off all of these boxes

• Excellent communication skills, both written and verbal
• Genuine desire to help people
• Uncontrollable urge to investigate and solve problems, with advanced diagnostic and troubleshooting skills
• Ability to think on your feet, remain calm under pressure and solve problems in real-time
• Desire and ability to rapidly learn a wide variety of new technical skills
• Strong teamwork: willingness and ability to get help from team members when required, and the good judgment to know when to seek help

Your non-negotiables should be your first couple of bullets and your nice to haves lower

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: 1273390465

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

What you'll do:

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

What we're looking for:

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

Relocation Statement:

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

In-Office Requirement Statement:

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

#LI-HYBRID 

#LI-JD1

Pre-Sales Solutions Engineer

Commercial | EMEA | Italian Speaking

About the Opportunity

Solutions Engineers at Klaviyo are technical sellers at the heart of our revenue motion. We don't just demo software. We work as trusted advisors, helping fast-growing commercial businesses understand how Klaviyo can solve their real challenges, and then we prove it.

We're looking for a Pre-Sales Solutions Engineer to join our EMEA Commercial team, covering the Entrepreneur and SMB segment. This is a great opportunity for someone early in their pre-sales career who is curious, eager to learn, and excited by the intersection of technology and sales. You don't need to have all the answers on day one. What matters is that you ask great questions, pick things up quickly, and genuinely want to help customers succeed.

You'll work alongside Account Executives across the Italian-speaking market and wider EMEA region, supporting the technical side of deals and building your skills in a collaborative, high-energy team environment.

What We Do as Solutions Engineers

We're technical sellers who drive revenue by winning Commercial deals. Our job is to own the technical win. That means building champions, demonstrating clear value, and making sure prospects choose Klaviyo.

We work directly with customers to design solutions that integrate into their existing tech stacks, taking a consultative approach that builds confidence and gets buy-in from both technical and business stakeholders.

Our team builds beyond the day-to-day too. Recent projects include AI-powered demo data generators, a Chrome extension for troubleshooting API calls, and templatised mobile apps to showcase our SDK capabilities. We're a team that builds things to solve problems, and we'd love you to grow into that.

How You'll Make a Difference

Support the Technical Win

• Work alongside Account Executives to support the technical side of Commercial opportunities from qualification through to close.
• Participate in technical discovery conversations, learning how to uncover a prospect's goals, current tools, and key constraints.
• Deliver product demos and presentations to business and technical audiences, connecting Klaviyo's capabilities to what the customer actually cares about.
• Help scope proofs of concept and pilot projects, supporting delivery and keeping stakeholders informed along the way.
• Learn how to handle common objections and navigate competitive questions with guidance from the broader team.

Build Customer Confidence

• Develop a strong understanding of Klaviyo's platform, APIs, and integrations so you can answer technical questions clearly and confidently.
• Build relationships with prospects and support them on topics like data strategy, integrations, and implementation approach.
• Collaborate with Product, Engineering, and Support on RFPs, security reviews, and technical evaluations where needed.
• Start building knowledge of the competitive landscape so you can add value in deal conversations over time.

Contribute to the Team

• Help build and improve repeatable assets like demo narratives, templates, and playbooks that make the wider team more effective.
• Use AI tools to support your work, from research and demo prep to light automation.
• Share what you're hearing from customers back to Product and GTM teams, especially around gaps and trends in the SMB segment.

Who You Are

Required

• Fluent in Italian and English, written and spoken.
• 1+ years of experience in a pre-sales, solutions engineering, technical sales, or customer-facing technical role at a B2B SaaS company.
• Curiosity about technology and a genuine interest in how businesses use data and marketing tools to grow.
• Comfortable talking to both technical and non-technical stakeholders and adapting your communication style accordingly.
• Good at explaining things clearly, whether that's a technical concept to a marketer or a business problem to a developer.
• Willing to run live product demos and get comfortable thinking on your feet when questions come up.
• A proactive mindset and willingness to learn quickly in a fast-moving environment.

Nice to Have

• Some familiarity with web technologies, REST APIs, or data integrations, even if you haven't worked with them professionally.
• Exposure to marketing technology, eCommerce platforms (e.g. Shopify, Magento), or customer engagement tools.
• Basic experience with JavaScript, Python, or SQL for exploring data or light integration work.
• Familiarity with AI-assisted tools (e.g. Claude, Cursor) and an interest in using them to work smarter.
• Any experience in a commercial or SMB-focused environment, whether in sales, support, or a technical capacity.
• Additional spoken European languages

What Sets You Apart

• You ask great questions and genuinely listen to the answers.
• You're not afraid to say you don't know something, but you always follow up with the answer.
• You pick up new tools and concepts quickly and enjoy figuring things out.
• You take ownership of your work and follow through without needing to be chased.
• You're excited about the idea of building a career in pre-sales and see this role as a serious starting point.

How We'll Measure Success

• Contribution to technical win rate in the Commercial segment.
• Quality of demos, discovery conversations, and handoffs to Customer Success and implementation teams.
• Speed and consistency in picking up product knowledge and ramping into deals.
• Contributions to team assets and the feedback you bring back from customer conversations.

#LI-Hybrid 

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

ABOUT THE TEAM

The Voyager team in Anduril Industries is an engineering and design division with a vast experience in developing innovative computing and communications solutions for the network edge. The team specializes in integrating enterprise networking capabilities from global IT leaders with purpose-built hardware and software platforms designed to meet market demands for the most stringent of environmental requirements.

ABOUT THE ROLE

We are seeking a Software Engineer to join our Software team in Dublin. This role will involve working on a range of projects including low-power compute modules, Baseboard Management Controllers (BMC), and IP routers. Candidate will be working on Linux-based embedded OSes, embedded applications and BSPs. An ability to learn new technologies quickly and a desire to work in challenging technical roles are key requirements. Anduril has a collaborative culture with plenty of opportunities for ownership. As a member of the team, your decisions today will have a large impact on the company now and into the future, as well as on our customers.

Key Responsibilities

• Develop high-quality software solutions based on technical requirements
• Collaborate with cross-functional teams to define, design, and ship new features
• Maintain existing codebase and troubleshoot issues as they arise
• Participate in code reviews to ensure best practices are being followed
• Collaborating with development and QA teams using SCRUM/Agile methodologies

Required Qualifications and experience

• Minimum 3 years relevant previous experience
• Bachelor's degree in Computer Science or related field
• Proficiency in multiple programming languages; Python, C/C++, Bash/Shell scripting
• Strong understanding of software development lifecycle
• Good Networking knowledge - IPv4/IPv6, NAT, VPN
• Experience working with virtualisation and container technologies e.g. KVM, Docker.
• Experience with underlying linux systems such as systemd, dbus, linux network stack.
• Experience with software development for linux
• Strong problem-solving skills
• Excellent communication skills
• Ability to document work clearly
• Ability to work independently with minimal supervision

Preferred Qualifications

• Experience with build tools like yocto or buildroot
• Experience with kernel debugging.
• GDB experience.

The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: 

Benefits

• Matched pension contributions up to 10%
• An annual contribution toward your private health insurance for you and your dependents. 
• Income Protection: Anduril covers life and disability insurance for all employees. 
• Generous time off: Highly competitive PTO plans with a holiday hiatus in December. Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs. 
• Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting. 
• Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching. Additional work-life services, such as legal and financial support, are also available. 
• Professional Development: Annual reimbursement for professional development 
• Commuter Benefits: Company-funded commuter benefits based on your region. 
• Relocation Assistance: Available depending on role eligibility. 
• Free car parking

About The Team: 

 The Voyager team in Anduril Industries is an engineering and design division with a vast experience in developing innovative computing and communications solutions for the network edge. The team specializes in integrating enterprise networking capabilities from global IT leaders with purpose-built hardware and software platforms designed to meet market demands for the most stringent of environmental requirements. We are seeking a Manufacturing, Quality & Test Technician/Engineer to join our Quality & Test team in Dublin. This role is ideal for an experienced Test Technician/ Engineer who can support external manufacturing sites during day to day Production. This role will be remote based with up to 3 to 4 days a week based at an external manufacturing site.

Key Responsibilities

• Prepare test and diagnostic programs, develop test procedures, test fixtures and
• Understanding of automated test systems and test software.
• Lead the commissioning, development, integration and release of test stations to full production.
• Define, outline and perform the training and sustaining activity required to successfully deploy test stations in full production.
• Create and maintain accurate and up to date documentation for test requirements, plans, procedures and results, including ECO activity.
• Support contract electronics manufacturer (CEM) partner in the overall continuous improvement of product as they move through the life cycle phases.
• Attend in all relevant meetings including NPI New Product Introduction, Quality, Yield meetings and analyse new production trends.
• Continually define and propose strategies for test reduction, cost reduction and improve time to market.
• Support the manufacturing process as needed by performing root cause analysis, error proofing and corrective action procedures.
• Build test equipment and execute test procedures to inform and validate design decisions.
• Travel to test sites and remote labs as needed.
• Be willing to travel as needed for project assignments and maintain flexibility, holding a valid driver's license.

Required Qualifications

• Third level qualification in computing, engineering, or science subject area.
• 5 years’ experience in testing complex products in production environments.
• Ability to read wiring diagrams and circuit schematics.
• Strong analytical skills with attention to detail (SPC, Six Sigma).
• Excellent problem solving and multitasking skills.
• Ability to work under tight schedules.
• Excellent verbal and written communication skills.
• Understanding of automated test scripts (LabVIEW, VB, Python).

POS-7094

Job Overview: We are seeking a Security Engineer with expertise in implementing and troubleshooting security tools to enhance and support our security infrastructure. This role focuses on evaluating, deploying, and maintaining a suite of security technologies that protect our organization’s assets. The ideal candidate will have extensive experience in security engineering, hands-on tool deployment, and troubleshooting complex issues within various security solutions.

Key Responsibilities:

• Security Tool Implementation: Lead the planning, deployment, and configuration of security tools, ensuring they meet organizational needs and integrate seamlessly with existing systems. Experience with SASE tools such as (Netskope/Zscaler), EDR tools such as (Crowdstrike/SentinelOne), Endpoint Privilege Management, Application Allowlisting, Email Security, SIEM Management and Detection Engineering 
• Troubleshooting and Support: Diagnose and resolve issues with security tools in real-time to maintain their effectiveness, reduce downtime, and ensure optimal performance.
• Tool Evaluation and Testing: Research, test, and recommend new security technologies based on the latest threat landscape and organizational needs. Lead proof-of-concept (POC) projects to assess potential new tools.
• System Integration: Work closely with IT and other teams to ensure security tools are effectively integrated with various systems, including cloud and on-premises environments.
• Automation and Optimization: Develop scripts and automation processes to improve the efficiency and reliability of security tools, minimizing repetitive tasks and reducing time-to-response.
• Documentation and Knowledge Sharing: Create and maintain detailed documentation of security tool configurations, troubleshooting procedures, and best practices to ensure consistent processes and knowledge transfer.
• Collaboration: Collaborate with other security teams, such as incident response and vulnerability management, to identify tool requirements, share insights, and improve overall security capabilities.
• Training and Mentorship: Act as a subject matter expert on security tools, providing training and guidance to junior team members and stakeholders.

Qualifications:

• Experience: 3+ years of experience in cybersecurity, with a focus on security engineering, tool deployment, and troubleshooting.
• Education: Bachelor’s degree in Computer Science, Information Security, or related field (or equivalent experience).
• Certifications: Relevant certifications, such as CISSP, GIAC, CEH, or vendor-specific certifications for security tools (e.g., CrowdStrike, Netskope, Tenable, or similar).
• Technical Skills:
• Strong hands-on experience with a variety of security tools, such as endpoint protection, SIEM, vulnerability management, EDR, DLP, and network security tools.
• Deep troubleshooting skills across both hardware and software security solutions.
• Familiarity with scripting languages (Python, PowerShell, Bash) for automation of tasks related to tool deployment and management.
• Understanding of network protocols, cloud environments, and security frameworks (MITRE ATT&CK, NIST, CIS).
• Experience with configuring and managing tools in cloud environments (AWS, Azure, or GCP).
• Soft Skills:
• Strong analytical and problem-solving abilities with attention to detail.
• Excellent communication skills to collaborate across teams and convey technical information effectively.
• Ability to work independently and manage multiple projects in a fast-paced environment.

Toast is driven by building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love.

SEAR at Toast focuses on two things: actionable intelligence collection, analysis, and delivery to engineers, and hunting the adversaries who would damage and defraud Toast, its customers, and its partners. We bake security into every layer of our products, from the first sprinkle of an idea to the final serving of a fully-baked solution. Our team is tasked with searching out and degrading the operations of persistent, motivated attackers.

Like master chefs, we blend cutting-edge technology with strategic thinking, implementing bespoke and industry-standard solutions for intelligence processing at scale. By joining SEAR, you'll be part of the kitchen crew that keeps our customers' trust from going stale. You'll tackle complex challenges that have real-world impact, helping to serve up a safer, more secure digital experience for businesses that count on Toast every day. It's not just about pattern-matching  – it's about crafting a recipe for digital trust that keeps our customers coming back for more.

A day in the life (Responsibilities)Select, implement, design, and build services and tools to manage and deliver security intelligence across Toast platforms.

• Identify, triage, and provide remediation guidance for application vulnerabilities, with a specific focus on anti-abuse activities.
• Improve developer tooling and adoption to build a more robust SSDLC which integrates security and anti-abuse features.
• Practice a #OneTeam attitude to help other Toast teams make informed, security-conscious decisions when building new public-facing software.
• Assist incident response teams with application security expertise and tools, especially related to abuse and fraud.
• Build threat models on Toast applications and use cases.
• Guide in the design and maintenance of robust and resilient network and application architecture.
• Collaborate to improve information gathering and sharing across all Toast products.
• Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team.

What you'll need to thrive (Requirements)

• 5+ years experience working in software development
• Minimum 5+ years of experience in application security and security engineering.
• Experience building and maintaining scaled Java web services in production.
• Experience developing script applications in Python for scheduling and backend data handling.
• Experience leveraging LLM AI features for software development and/or security operations.
• Strong understanding of cloud application architecture.
• Successful history of being a subject matter expert to guide colleagues toward better security outcomes, especially related to abuse, fraud and legal concerns.
• Previous security experience working with fintech applications and associated requirements.
• Strong understanding of privacy, security, and cryptography patterns and when to apply them, especially when handling customer information (such as PKIs, access management, data tokenization, and anonymization).

**This role requires two days per week in our Dublin office**

Nonessential Skills/Nice to Haves

• Offensive security training and certifications (e.g. OSCP, OSWE, OSEP)
• Edge Security solution like WAF, API Security
• Adversary Emulation proficiency (red/purple teaming)
• Cloud and container security technologies
• SSDLC tooling (e.g., SAST/DAST/SCA)
• Scaled data handling in RDBMS, streaming, and columnar stores
• Metrics and charting software proficiency
• Mobile apps/threats (iOS, Android), and their particular abuse vectors
• Knowledge in security of operating systems, networking and protocols
• Securing financial technologies and associated requirements

AI at Toast

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

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

About the Role

The IT Operations team keeps Anthropic running — we make sure every employee can do their best work without friction. We're seeking an IT Support Engineer who combines deep technical skills with a genuine service mindset and sound judgment.

Anthropic is growing fast, and our IT operations need to keep pace. That means onboarding at scale, automating repetitive processes (including with Claude), and continuously improving the employee experience. You'll handle support challenges across our primarily macOS environment while contributing to the operational improvements that help us scale. You'll work closely with IT Engineering and Security, with opportunities to grow into more technical infrastructure work over time.

Responsibilities

End-User Support

• Triage and resolve issues across hardware, software, networking, and accounts — primarily through our ticketing system, with additional support via Slack and in-person
• Diagnose and resolve issues across macOS, ChromeOS, iOS, Android, and our core SaaS platforms (Google Workspace, Slack, GitHub, Atlassian)
• Troubleshoot device issues, including enrollment, configuration profiles, and policy enforcement
• Support access management and employee lifecycle workflows (onboarding, offboarding, reorgs)
• Handle escalations requiring cross-team coordination
• Participate in an on-call rotation for urgent issues outside business hours
• Provide hands-on support for user technology, AV systems, conference rooms, and printers

Communication & Documentation

• Communicate clearly with users of all technical levels
• Write and maintain internal documentation including runbooks, how-to guides, and knowledge base articles
• Identify patterns in support requests, surface recurring issues to the team, and identify opportunities for automation or systemic solves

Operational Improvement

• Help streamline onboarding and other high-volume operations as the company scales
• Contribute to automation efforts
• Maintain and improve device management, identity, and access systems
• Assist with scripting (Bash, Python) to automate repetitive tasks

You may be a good fit if you

• Have 5-7+ years of hands-on IT support experience, ideally in a fast-paced or high-growth environment
• Are an excellent communicator who genuinely enjoys helping people solve problems
• Have strong troubleshooting skills and are methodical, curious, and persistent
• Demonstrated supporting macOS endpoints and comfortable supporting ChromeOS, iOS, and Android
• Have significant experience with Google Workspace administration
• Have experience with Slack administration — workspace management, permissions, and troubleshooting
• Have substantial experience supporting and administering additional SaaS tools
• Understand identity and access fundamentals — SSO, MFA, directory services
• Are familiar with MDM fundamentals and endpoint management concepts
• Have experience with basic scripting (Bash or Python) for automation
• Take ownership of problems and follow through until they're resolved
• Think beyond the immediate fix — you ask "why did this happen?" and "how do we prevent it?"
• Are organized enough to manage competing priorities without things falling through the cracks
• Propose solutions when you see a process that doesn't scale
• Are looking to develop deeper technical skills and take on more complex systems administration challenges over time

Strong candidates may also

• Be familiar with zero-trust security concepts and endpoint security tooling
• Have experience with networking basics — DNS, DHCP, VPNs, networking fundamentals
• Have contributed to IT projects beyond day-to-day support (migrations, tool rollouts, process redesigns)
• Have experience using AI tools to improve personal or team productivity

Location

This role is based in our Dublin office. There is a 5 day per week in office expectation.

What Makes This Role Unique

You'll be joining a high-impact IT team supporting some of the world's leading AI researchers and engineers. The pace is fast and you'll have real ownership over your work. This isn't a role where you follow rigid scripts — you'll be trusted to use your judgment, improve our processes, and grow with the team. Because we're scaling rapidly, you'll have meaningful opportunities to shape how IT operations work at Anthropic.

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

Senior Machine Learning Engineer, Optimisation (Gurobi)

Do you want to join a Machine Learning team committed to enhancing the PlayStation

experience for hundreds of millions of users and also game studios? Are you passionate about solving complex constrained optimisation problems at scale? We are building advanced decision systems that drive pricing, promotion planning, and large-scale commercial strategy across the PlayStation ecosystem. These systems directly deliver highly impactful recommendations to our studios and have strong leadership sponsorship.

We are looking for an experienced engineer with deep expertise in mathematical optimisation and operational research, particularly using tools such as Gurobi or OR-Tools, to design and deploy production-grade optimisation systems. You will work within the ML teams in the DTIS organisation, on high-impact, executive-sponsored projects and collaborate closely with Product, Business, and others in Engineering, to transform complex business constraints into scalable solutions.

What You’ll Do

• Design and implement large-scale optimisation models using industry-standard
• solvers, such as Gurobi.

Build decision systems that:

• Incorporate predictive signals from machine learning models (e.g., forecasts and scoring models).
• Operate under multiple operational and business constraints.
• Automatically balance trade-offs across competing objectives.
• Improve existing workflows to maximise the core usage of the Gurobi solver and reduce
• job runtime
• Partner closely with ML engineers, product teams, and business stakeholders to integrate predictive models into downstream systems.
• Conduct scenario analysis and uplift forecast to support strategic planning.
• Mentor and guide junior machine learning engineers, providing technical leadership and
• raising the bar of technical quality.
• Thought-lead and influence technology strategy and product roadmap through OR/ML lens, contributing to the development and execution of overall OR/ML strategy.

You Bring:

• Advanced degree (Master’s or Ph.D.) in Operations Research/Applied Mathematics/Data Science, specialising in optimisation problems.
• Strong hands-on experience with Gurobi, OR-Tools.
• Industry experience building, deploying, and owning Gurobi or ORTools-driven optimisation systems in production.
• Strong programming skills in Python, Java, with experience integrating optimisation solvers into cloud-based backend systems
• Excellent communication skills and ability to bridge technical solutions with business objectives, to convey complex concepts to stakeholders with little knowledge of OR or ML.
• Experience working with outputs from machine learning models and incorporating them into downstream decision-making pipelines.
• Excellent resilience and problem-solving skills, with the ability to navigate through fast-changing conditions to land results.

Preferred Qualifications:

• Experience in promotion calendar optimisation using Gurobi.
• Experience with large-scale structured data manipulation and processing, using
• Databricks, PySpark, Snowflake.
• Experience in running online A/B testing for predictive models and improving relevant
• Experience working with custom ML platforms for continuous integration, deployment,and monitoring of machine learning models.
• Experience in the gaming industry.
• Experience working with cross-timezone teams.

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

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

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

What you'll be doing:

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

What we're looking for:

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

Helpful but not required:

• Game industry experience
• Azure/GCP

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

What you'll be doing:

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

What we're looking for:

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

Preferred Qualifications:

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

POS-31662

Role Summary

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

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

What You’ll Do

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

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

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

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

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

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

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

Required Qualifications

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

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

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

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

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

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

Nice-to-Have Qualifications

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

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

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

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

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

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

POS-31662

Role Summary

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

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

What You’ll Do

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

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

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

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

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

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

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

Required Qualifications

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

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

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

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

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

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

Nice-to-Have Qualifications

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

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

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

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

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

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

This role can be Office/Hybrid/Remote based within the UK

HubSpot is on the forefront of empowering businesses with cutting-edge AI, and our AI Infrastructure group is at the heart of this initiative. We are seeking a Staff level Software Engineer with a passion for infrastructure and developer experience to join our AI Serving team. The AI Serving team is part of AI Infrastructure and its goal is to own and operate HubSpot's model inference and serving infrastructure end-to-end, ensuring AI models are reliably deployed, scaled, observed, and cost-efficient across all hublets and environments, while also serving as the home for modern Python at HubSpot.

The team owns the serving frameworks and libraries that power synchronous, asynchronous, and offline inference, along with model deployment pipelines, autoscaling, and GPU/CPU resource management. The team's roadmap focuses on improving the reliability and efficiency of batch inference, strengthening model observability, and scaling AI infrastructure cost-effectively. The team also serves as the home for core Python libraries and tooling across HubSpot.

As a Staff Software Engineer on the AI Serving team you will:

• Write and ship production code that directly powers AI capabilities across HubSpot, a crucial building block for user and business impact at scale
• Lead the evolution of our model serving and inference infrastructure, improving reliability, scalability, and cost-efficiency
• Set technical direction for how HubSpot deploys and operates ML models at scale, guiding decisions on architecture, cost optimization, and developer experience
• Work closely with Machine Learning Engineers, Product Software Engineers, and other Infrastructure teams to streamline model deployment and serving
• Gain deep exposure to a wide range of HubSpot infrastructure systems through building and maintaining core Python libraries, an excellent  opportunity to learn how HubSpot operates under the hood
• Collaborate with HubSpotters all over the company, whether in engineering, product, design, research, marketing, sales, etc, gaining exposure to how HubSpot works as a business
• Be empowered to show up as your authentic self and choose a work style and location where you can do your best work, whether that's at home, in an office, or a blend of the two

We're not just looking for engineers with many years of experience. Instead we're looking for engineers who also have a track record of unique excellence, leadership, and leveling up those around them.

We work with Python and Java primarily, but experience with specific technologies is secondary to strong programming fundamentals. Check out our engineering blog to learn more.

What we'd like to see:

• A proven track record of directly contributing to and leading infrastructure projects at scale, ideally in serving, deployment, or platform engineering
• The ability to work collaboratively with the team to solve problems, transfer knowledge, and develop overall platform architecture
• The ability to work effectively across teams, driving technical initiatives spanning multiple groups within AI Infrastructure and beyond
• Comfort with ambiguity: you can take on broad, cross-team problems and drive them to resolution without waiting for every detail to be specified
• Coaching and mentorship experience
• A track record in partnering successfully with recruiting to build remarkable engineering teams
• Bonus: Python expertise. Experience with Python tooling, libraries, and developer experience is a strong plus, given the team's role in stewarding Python across AI workloads at HubSpot

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates, so please don't hesitate to apply. We'd love to hear from you.

This role can be Office/Hybrid/Remote based within Ireland

HubSpot is on the forefront of empowering businesses with cutting-edge AI, and our AI Infrastructure group is at the heart of this initiative. We are seeking a Staff level Software Engineer with a passion for infrastructure and developer experience to join our AI Serving team. The AI Serving team is part of AI Infrastructure and its goal is to own and operate HubSpot's model inference and serving infrastructure end-to-end, ensuring AI models are reliably deployed, scaled, observed, and cost-efficient across all hublets and environments, while also serving as the home for modern Python at HubSpot.

The team owns the serving frameworks and libraries that power synchronous, asynchronous, and offline inference, along with model deployment pipelines, autoscaling, and GPU/CPU resource management. The team's roadmap focuses on improving the reliability and efficiency of batch inference, strengthening model observability, and scaling AI infrastructure cost-effectively. The team also serves as the home for core Python libraries and tooling across HubSpot.

As a Staff Software Engineer on the AI Serving team you will:

• Write and ship production code that directly powers AI capabilities across HubSpot, a crucial building block for user and business impact at scale
• Lead the evolution of our model serving and inference infrastructure, improving reliability, scalability, and cost-efficiency
• Set technical direction for how HubSpot deploys and operates ML models at scale, guiding decisions on architecture, cost optimization, and developer experience
• Work closely with Machine Learning Engineers, Product Software Engineers, and other Infrastructure teams to streamline model deployment and serving
• Gain deep exposure to a wide range of HubSpot infrastructure systems through building and maintaining core Python libraries, an excellent  opportunity to learn how HubSpot operates under the hood
• Collaborate with HubSpotters all over the company, whether in engineering, product, design, research, marketing, sales, etc, gaining exposure to how HubSpot works as a business
• Be empowered to show up as your authentic self and choose a work style and location where you can do your best work, whether that's at home, in an office, or a blend of the two

We're not just looking for engineers with many years of experience. Instead we're looking for engineers who also have a track record of unique excellence, leadership, and leveling up those around them.

We work with Python and Java primarily, but experience with specific technologies is secondary to strong programming fundamentals. Check out our engineering blog to learn more.

What we'd like to see:

• A proven track record of directly contributing to and leading infrastructure projects at scale, ideally in serving, deployment, or platform engineering
• The ability to work collaboratively with the team to solve problems, transfer knowledge, and develop overall platform architecture
• The ability to work effectively across teams, driving technical initiatives spanning multiple groups within AI Infrastructure and beyond
• Comfort with ambiguity: you can take on broad, cross-team problems and drive them to resolution without waiting for every detail to be specified
• Coaching and mentorship experience
• A track record in partnering successfully with recruiting to build remarkable engineering teams
• Bonus: Python expertise. Experience with Python tooling, libraries, and developer experience is a strong plus, given the team's role in stewarding Python across AI workloads at HubSpot

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates, so please don't hesitate to apply. We'd love to hear from you.

Anduril's Security Engineering team is looking for a security engineer to focus on building world class defensive controls to protect the infrastructure around our defense technology products.

WHAT YOU'LL DO

• Design and implement security controls across cloud, production, and corporate infrastructure
• Develop tools and systems to improve security posture and operational efficiency
• Conduct security architecture and design reviews for systems and applications
• Build automation to detect, monitor, and remediate security issues
• Work across infrastructure, application, and operational security domains

REQUIRED QUALIFICATIONS

• Strong programming ability in one or more general purpose languages (Python, Go, Rust, etc)
• Experience with one or more infrastructure as code languages (e.g., Terraform, AWS CDK) in a production capacity
• Experience conducting security architecture or design reviews around custom business applications
• Solid understanding of modern attack vectors and defensive mitigation strategies
• Experience working with cloud platforms and deploying applications through CI/CD pipelines
• Experience with AWS, Azure, or GCP security ecosystem and tooling
• Experience developing and implementing defensive controls around endpoint and SaaS applications
• Ability to work autonomously, take ownership of projects, and collaborate across teams
• Have participated in or supported incident response events
• Must possess the legal right to permanently live and work in Republic of Ireland

PREFERRED QUALIFICATIONS

• Experience building bespoke solutions in high-growth and high-complexity environments
• Experience with log aggregation, secrets management, or endpoint security tools
• Strong understanding of network/internetworking concepts and protocols
• Participated in development, implementation and/or audit of ISO27001, CMMC 2.0, BSI and/or SOC 2
• Strong experience with Linux operating systems

The Systems Development team builds and maintains the platform that is shared by all Systems teams to provision, monitor, and manage HRT’s server and network infrastructure. As a Systems Software Engineer with a focus on Security, your main focus will be tool development in Python and Go to engineer creative solutions to security challenges. You’ll improve and integrate our existing tools and libraries across the platform, as well as design and build new ones to make trading, research, installation, and monitoring systems easier to manage, more secure, and more reliable. Strong Python skills and development experience are required, along with Unix experience and interest in the security space.

This role offers a unique opportunity to make a significant impact on a critical part of our existing and growing infrastructure. Your responsibilities will vary, but a typical day in the life might look like:

• Building and maintaining tools and software features to automate systems engineering workflows related to secure machine provisioning, monitoring, metrics collection, maintenance, secrets management, and network configuration
• Troubleshooting software bugs on a fleet of Linux machines, including application, network, operating system, and/or kernel issues
• Writing configuration management code to build, deploy, and maintain new services
• Helping to set the general direction for the Systems Python platform
• Working across HRT’s engineering teams to help create solutions to a variety of security challenges

Qualifications

Required:

• Strong Python programming
• Ability to debug and analyze problems quickly
• Ability to learn at a fast pace and apply new skills effectively
• Strong grasp of computer science fundamentals and software design patterns
• Solid understanding of Linux/UNIX operating systems 
• Interest in and awareness of security best practices

Preferred:

• Understanding of Debian operating system
• Familiarity with systems configuration management and monitoring technologies 
• Familiarity with continuous integration and continuous deployment tools and processes
• Understanding of networking protocols

Profile

• BS and/or MS in computer science or a related field
• 2+ years of relevant experience, including programming in Python
• Experience using automation to solve problems and improve process efficiency
• Acts effectively as a team player, but also works well independently 
• Skilled at juggling multiple tasks while maintaining meticulous attention to detail
• Familiarity with open-source software

Hudson River Trading (HRT) is looking for a Junior Crypto Electronic Trading Support Engineer to join our Trade Operations (TradeOps) team in our London office. This team is responsible for managing HRT’s live trading environment, one of the most robust and efficient electronic trading platforms in the world. This includes configuring, monitoring, and optimizing the firm’s crypto trading as well as handling related risk, regulatory, and development tasks. The TradeOps team focuses on automating common tasks and preparing for the unexpected: your day could consist of debugging to get a process running in time for the market open, making a difficult on-the-spot decision that balances compliance, risk, and PnL during trading hours, or coordinating the technical rollout of a new trading strategy. 

Being a member of TradeOps at HRT supporting crypto means working on a tight-knit, highly productive team. We're looking for someone who loves technology, is passionate about crypto, and wants to work on a broad range of projects using whatever tools best solve the problem at hand. Excellent cross-functional communication skills are a must, along with a can-do attitude.

In a high-performance environment, immediate awareness of and reaction to systems and trading issues is essential. That’s where HRT’s Electronic Trading Support Engineers come in. You’ll be responsible for onboarding new crypto markets, managing new initiatives, and ensuring a smooth trading day. You will be the first line of defense when issues arise, and the subject matter expert on recent changes to the production trading platform. The TradeOps team’s scope covers everything from systems infrastructure to compliance, risk management, overnight clearing, and performance improvement. 

Please note: this role requires working during 3PM - 11PM GMT / 4PM - 12AM BST hours, with weekends/holidays alternating among the team.

Responsibilities

• Support live crypto trading and other asset classes as needed
• Handle order flow from HRT’s trading desks
• Respond to external market alerts and outages
• Interface with exchanges & other external parties to support trading

Qualifications

• 1-3 years of experience in a similar role or internship
• Bachelor’s degree in a technical discipline
• Working knowledge of UNIX systems, Bash, and Python
• Excellent communication skills and the ability to interface with developers and traders
• Strong organizational skills and meticulous attention to detail
• Excited to work independently in a fast-paced, high pressure environment
• Strong interest in crypto – you follow the digital assets space in your spare time
• Understanding of various financial products, including equities, crypto products, and derivatives is a plus
• Overall interest in market structure and the trading industry
• Series 7 or 57 certification or a willingness to obtain certification
• Ability to work during 3PM - 11PM GMT / 4PM - 12AM BST hours, with weekends/holidays alternating among the team

Hudson River Trading (HRT) is looking for a Junior Electronic Trading Support Engineer to join our global Trade Operations (TradeOps) team in NYC. This team is responsible for managing HRT’s live trading environment, one of the most robust and efficient electronic trading platforms in the world. This includes configuring, monitoring, and optimizing the firm’s trading as well as handling risk, regulatory, and development tasks. The TradeOps team focuses on both automating common tasks and preparing for the unexpected. Your day could consist of debugging to get a process running in time for the market open, making a difficult on-the-spot decision that balances compliance, risk, and PnL during trading hours, or coordinating the technical rollout of a new trading strategy. 

Being a member of TradeOps at HRT means working on a tight-knit, highly productive team. We're looking for someone who loves technology and wants to work on a broad range of projects using whatever tool(s) best solve the problem at hand. Excellent communication is a must, along with a can-do attitude.

Role

In a high performance environment, immediate awareness of and reaction to systems and trading issues is essential. That’s where HRT’s Electronic Trading Support Engineers come in. You’ll be responsible for managing new initiatives and ensuring a smooth trading day. You’ll act as the first line of defense when the inevitable happens, and the subject matter expert on recent changes to the production trading platform. The team’s scope covers everything from systems infrastructure, to compliance, risk management, overnight clearing, and performance improvement. 

Responsibilities 

• Support live trading during US market hours
• Handle order flow from HRT’s trading desks
• Respond to external market alerts and outages
• Interface with exchanges & other external parties to support trading 

Qualifications

• Bachelor’s degree in a quantitative discipline (CS, Engineering, Physics, Math, etc.)
• Working knowledge of UNIX systems
• Experience with a scripting language (Python, Perl, Bash)
• Excellent communication skills and enjoy interfacing with clients, both internal and external
• Incredibly organized, with a high attention to detail
• Excited to work independently in a very fast-paced, high pressure environment
• Poses an understanding of Market Data/Order Entry systems and/or an interest in how modern electronic markets work
• Industry experience and/or Series 7 or 57 certification is preferred if applicable, but not required - recent graduates with relevant knowledge can be considered

The estimated base salary range for this position is 100,000 to 150,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Hudson River Trading (HRT) is looking for an Electronic Trading Support Engineer to join our global Trade Operations (TradeOps) team in NYC. This team is responsible for managing HRT’s live trading environment, one of the most robust and efficient electronic trading platforms in the world. This includes configuring, monitoring, and optimizing the firm’s trading as well as handling risk, regulatory, and development tasks. The TradeOps team focuses on both automating common tasks and preparing for the unexpected. Your day could consist of debugging to get a process running in time for the market open, making a difficult on-the-spot decision that balances compliance, risk, and PnL during trading hours, or coordinating the technical rollout of a new trading strategy. 

Being a member of TradeOps at HRT means working on a tight-knit, highly productive team. We're looking for someone who loves technology and wants to work on a broad range of projects using whatever tool(s) best solve the problem at hand. Excellent communication is a must, along with a can-do attitude.

Role

In a high performance environment, immediate awareness of and reaction to systems and trading issues is essential. That’s where HRT’s Electronic Trading Support Engineers come in. You’ll be responsible for managing new initiatives and ensuring a smooth trading day. You’ll act as the first line of defense when the inevitable happens, and the subject matter expert on recent changes to the production trading platform. The team’s scope covers everything from systems infrastructure, to compliance, risk management, overnight clearing, and performance improvement. 

Responsibilities 

• Support live trading during US market hours
• Handle order flow from HRT’s trading desks
• Respond to external market alerts and outages
• Interface with exchanges & other external parties to support trading 

Qualifications

• Bachelor’s degree in a quantitative discipline (CS, Engineering, Physics, Math, etc.)
• Working knowledge of UNIX systems
• Experience with a scripting language (Python, Perl, Bash)
• Excellent communication skills and enjoy interfacing with clients, both internal and external
• Incredibly organized, with a high attention to detail
• Excited to work independently in a very fast-paced, high pressure environment
• Poses an understanding of Market Data/Order Entry systems and an interest in how modern electronic markets work
• Industry experience and/or Series 7 or 57 certification is preferred

The estimated base salary range for this position is 100,000 to 150,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Hudson River Trading (HRT) is one of the top algorithmic trading companies in the world. Our research cluster is the backbone of our success; it’s where all of our trading strategies are generated.

We use a large, customized research environment with highly advanced CPU and GPU compute, storage, and networking technology. Our team thinks about the entire software stack, from the user-level API to optimizing performance out of low-level caching. We deal with everything from the theoretical, like fair resource scheduling, to the concrete, like optimizing a trader’s new program run-time performance. 

As a distributed compute engineer in a user-facing environment, you’ll develop and improve on technical solutions that make research as easy and efficient as possible. You’ll work everyday with both talented quantitative traders and software engineers across all trading teams.

Responsibilities

• Ensure HRT’s research environment is best in class, with a focus on user workloads
• Maintain and improve resource scheduling, data caching, and job monitoring to make research as easy, fast, and efficient as possible, using both in-house and open source solutions
• Optimize workloads at the user level to speed up user iteration speed
• Tune workloads at the infrastructure level to make them more resource-efficient
• Share metrics and real-time information with users to give insight into workload behavior
• Sit down with users to understand their specific technical needs
• Contribute individually and through leadership and coordination of the above
• Set technical direction for the platform and take holistic ownership of the software infrastructure that supports Algo research

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or a related field
• Strong C++ expertise (daily use preferred)
• Python familiarity preferred
• Experience collaborating closely with quantitative researchers and traders to understand their needs
• Great communication capabilities
• Superior design, debugging, and problem solving skills
• Knowledge of UNIX operating systems (we use Linux), system/processor performance, and network communication

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Hudson River Trading (HRT) is seeking a Software Engineer focused on GPU reliability to join our Systems Development team. The Systems Development team builds and maintains the platform that is shared by all Systems teams to provision, monitor, and manage HRT’s server and network infrastructure. In this role, your main focus will be to develop tools in Python to analyze the performance of GPU hardware and build creative solutions to improve observability, reliability, and efficiency of the fleet. You’ll work closely with other engineering teams to deeply understand research and trading workflows and ensure that GPU infrastructure is utilized optimally. Strong Python skills and development experience are required, along with Unix experience and a background of managing GPU hardware at scale.

Responsibilities

This role offers a unique opportunity to make a significant impact on a critical part of our existing and growing infrastructure. Your responsibilities may vary day to day, but will include:

• Building and maintaining tools and software features to automate systems engineering workflows related to GPU management, monitoring, metrics collection, maintenance, and network configuration
• Troubleshooting software and hardware bugs on a fleet of GPU devices, including application, network, operating system, and/or kernel issues
• Working across HRT’s engineering teams to tune workloads and processes to use GPUs more efficiently 
• Analyzing GPU job statistics to identify trends and areas for improvement

Qualifications

Required:

• BS and/or MS in computer science or a related field
• 2+ years of relevant experience, including programming in Python and managing GPUs
• Experience using automation to solve problems and improve process efficiency
• Experience working with, troubleshooting, tuning, and deploying various types of GPU hardware
• Strong grasp of computer science fundamentals and software design patterns
• Solid understanding of Linux/UNIX operating systems 
• Familiarity with open-source software
• Ability to debug and analyze problems quickly
• Skilled at balancing multiple tasks while maintaining meticulous attention to detail
• Ability to operate effectively as a team player and also work independently 
• Ability to learn at a fast pace and apply new skills effectively

Preferred:

• Understanding of Debian operating system
• Familiarity with systems configuration management and monitoring technologies 
• Familiarity with continuous integration and continuous deployment tools and processes
• Understanding of networking protocols

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. 

This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company’s retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations.

About Stripe:

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead.

About the team:

The Professional Services team exists to drive the adoption of Stripe’s capabilities across our user base, from Fortune 100s to high-growth startups. Within this group, the Accelerate team is responsible for the critical "zero-to-one" phase of the user journey. We partner with developers and technical leaders to ensure they deploy quickly, integrate with high quality, and derive strategic value from Stripe immediately.

Accelerate is Stripe’s dedicated onboarding program designed to get users live fast and operationally ready. It is a prescriptive engagement where we guide users through technical integration, fraud prevention setup, and financial reporting. Whether through our foundational (free) tier or our premium high-touch service, the goal is identical: eliminate friction, reduce implementation risk, and accelerate time-to-revenue.

What you’ll do:

Stripe is launching Stripe Delivery Centers - a brand new global team to design, implement and grow Stripe’s operations for the next decade. We are looking for dynamic and curious people that have a passion for solving global user issues, building operations, driving process improvements and want to play a front-line role in building this new operational capability for Stripe and accelerating Stripe’s growth. If you like challenging, scaled problems and are an amazing teammate, we want to hear from you!

As an Onboarding Specialist, you are the technical guide for users during their first 90 days with Stripe. You will be proactively unblocking deployments and ensuring users are operationally ready to scale. You will manage a portfolio of users, guiding them through best practices for integration, dashboard configuration, and risk management. You will deliver technical workshops and serve as the primary touchpoint to help users navigate the complexity of payments infrastructure.

Responsibilities:

• Drive Time-to-Value: Manage a portfolio of user implementations, acting as a lightweight project manager to ensure they hit their planned go-live dates.
• Deliver Technical Workshops: Lead pre-built, interactive workshops covering critical topics such as API integration, Dashboard utilization, Fraud/Radar configuration, and Financial Reporting.
• Proactive Unblocking: Anticipate technical challenges before they become blockers. Provide prescriptive guidance on API architecture and best practices to ensure a high-quality integration.
• Operational Readiness: Go beyond code—help users set up their teams for success by advising on dispute management workflows and reconciliation processes.
• User Experience: Provide exceptional customer service to ensure a positive onboarding experience, acting as a reliable partner so users feel supported and confident throughout the process.
• Continuous Learning: Continuously update your knowledge of Stripe's products, features, and updates to ensure you are providing the most current and strategic advice to your users.
• Process Improvement: Contribute to the improvement of onboarding processes and documentation by collaborating with cross-functional teams to refine our playbooks based on user feedback.

Who you are:

We are looking for dynamic, curious problem-solvers who love demystifying complex technical concepts. You thrive in a fast-paced environment and are passionate about helping users build their businesses on Stripe.

Minimum requirements:

• Advanced English proficiency (fluent written and spoken). You can explain complex API architecture to non-technical stakeholders and discuss business value with developers.
• 2+ years of experience in implementation consulting, technical support, or solutions engineering, preferably in API technologies or SaaS environments.
• Technical Aptitude: Strong ability to read and debug code, understand RESTful APIs, and navigate complex technical environments.
• Problem Solving: You don't just find the answer; you find the best solution for the user's specific business model.

Preferred qualifications:

• Proficiency in one or more of: French, German, Spanish or Italian.
• Experience with financial systems (ERP, Accounting), online payments, or e-commerce platforms.
• Experience delivering live technical training or webinars to external users.
• Familiarity with code-level debugging in languages such as Python, Ruby, or Node.js.

This role is based in Dublin, Ireland and requires in-office attendance.

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

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

What You’ll Do:

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

Who You Are:

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

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

Benefits and Growth:

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

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

Your Role:

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

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

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

Your Opportunity:

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

What Success Looks Like:

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

What You'll Need:

And Ideally:

The infrastructure layer of a modern company looks nothing like it did five years ago.

We're looking for an IT Platform Lead to join our IT team in Helsinki or Dublin (hybrid).

In this role, you will…

• Work at the intersection of architecture, security, and AI — collaborating with Product, Security, and BizOps to define the standards that everything runs on
• Help design the new infrastructure for a world where AI is a first-class citizen in every workflow
• Define and maintain the company-wide integration architecture — the standard every team follows when connecting a new tool, agent, or workflow
• Collaborate with Product and Security to define how AI agents authenticate, what systems they can access, and how they are monitored

Your day-to-day work and responsibilities include…

• Collaborating on the evaluation and onboarding of new tools — assessing fit, defining how they connect, and identifying redundancy or gaps across the applications portfolio
• Working with the Systems Specialist on the integration layer between n8n, our SaaS stack, and the AI agents running across the business
• Stepping in early when a business team is about to create fragmentation — and collaborating to find the right, centralised answer
• Contributing to ISO/SOC 2 architecture evidence for access controls, network, and device compliance
• As we scale the IT function, you'll initially carry some operational responsibilities alongside the architecture work — including vendor management, licence governance, and identity operations — as we build out the broader team

This position is for you if you have…

• 7+ years of experience with strong hands-on skills in API architecture — REST, webhooks, event-driven patterns, OAuth, SAML
• Experience working with LLMs and AI platforms — Claude, OpenAI, or equivalent — at an integration and architecture level, approached in an AI-native fashion
• Strong Proficiency in Python and Go, and familiarity with n8n, Make, or equivalent automation platforms
• Security architecture fundamentals — Zero Trust, ZTNA, SSO, IAM, NHI
• A mindset that thinks company-wide, brings people along collaboratively, and has a bias for action

Benefits we offer…

• Attractive salary and benefits package, including equity participation
• Great work equipment, and home office allowance for fully remote locations
• Health care benefit and leisure time insurance
• Annual €1,000 personal learning budget
• Sports and wellbeing allowance

Benefits may vary depending on location. 

#LI-Hybrid 

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

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

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

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

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

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

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

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

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

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

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

What You’ll Do:

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

Who You Are:

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

Bonus Points:

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

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

Benefits and Growth:

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

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

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

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

What You’ll Do:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

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

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

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

#LI-Hybrid

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

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

What You’ll Do:

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

Who You Are:

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

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

Benefits and Growth:

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

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

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

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

What You’ll Do:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

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

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

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

#LI-Hybrid

At Datadog, we’re on a mission to bring security and observability together for modern organizations. Bits AI for Security is our AI agent that leverages LLMs to help analysts investigate alerts, understand threats, and respond faster. We’re looking for a product-minded AI Engineer to help us build the next generation of AI-driven security capabilities.

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

What You’ll Do:

• Work closely with users, security experts, PMs, and data scientists on cutting edge AI agents that drive real value for our customers
• Develop tools, retrieval and planning strategies, and guardrails; manage prompts/evals; design fallbacks and human‑in‑the‑loop paths
• Collaborate with Product, Design, and partner teams to build cohesive experiences
• Prototype and see what works well, iterate closely with our users and experts, and then ship
• Follow the latest research on GenAI and AI agents

Who You Are:

• You have a BS/MS/PhD in Computer Science, Engineering, Artificial Intelligence or a related scientific field or equivalent experience
• You’re a backend engineer with at least 4 years of professional experience (Go, Python, Java, etc.) who values code simplicity and performance
• You have relevant work experience with LLMs, large-scale systems, machine learning, or adjacent fields. You’ve shipped software that uses LLMs to production
• You want to work in a fast, high-growth startup environment that values its engineers
• You are a good communicator and can drive hard technical conversations towards a pragmatic solution
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output

Bonus Point:

• Excited to work in the security domain, with an understanding of how analysts investigate threats and alerts
• Fluency with offline/online evals for AI systems; can build reliable golden sets and automatic regressions
• Experience scaling products in a high-growth SaaS environment
• You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products

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

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

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

#LI-Hybrid

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

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

What You’ll Do:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

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

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

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

#LI-Hybrid

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

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

What You’ll Do:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

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

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

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

#LI-Hybrid