Who we are

About Stripe

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

About the team

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

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

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

What you'll do

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

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

Responsibilities

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

Who you are

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

Minimum requirements

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

Preferred qualifications

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

Who we are

About Stripe

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

About the team

The Proactive Threat team identifies, detects, and responds to threats before they impact Stripe's business or users. The Detection Engineering & Threat Hunting function sits at the intersection of offense and defense — we leverage deep knowledge of attacker tradecraft to build high-fidelity detections, hunt for sophisticated threats, and validate defensive capabilities across Stripe's critical systems.

We are builders first. Our team develops detection-as-code, automates analysis workflows, and builds tooling that scales detection and response across a complex, global environment. We partner closely with Threat Intelligence, Incident Response, and offensive security teams to ensure our detections are grounded in real-world adversary behavior.

The team is distributed across the United States (Eastern and Pacific time zones) and collaborates regularly with stakeholders across Stripe — including teams in Europe and Asia.

What you'll do

You will design, build, and maintain detections that identify malicious activity across Stripe's infrastructure, applications, and cloud environments. You'll leverage your understanding of attacker TTPs — from initial access through exfiltration — to develop detection logic that catches real threats while minimizing noise. Beyond writing detections, you'll conduct threat hunts, perform malware analysis, and build automation that enables detection engineering at scale.

Responsibilities

• Design, build, and tune high-fidelity detections across modern SIEM platforms, covering adversary TTPs across the full attack lifecycle
• Develop detection hypotheses by researching TTPs, identifying evidence sources, and determining detection opportunities across available telemetry
• Conduct hypothesis-driven threat hunts to identify malicious activity, uncover detection gaps, and validate security controls
• Perform malware analysis and reverse engineering to extract indicators and inform detection strategies
• Build network-based detections (flow, pcap, protocol analysis) and endpoint-based detections (event logs, EDR telemetry, memory/file artifacts) across Windows, Linux, and macOS
• Partner with Threat Intelligence to operationalize intel reports into detections, hunting leads, and enrichment logic
• Collaborate with IR, SOC, and offensive security teams to validate and refine detections based on real-world incidents and red team exercises
• Build data pipelines, automation, and tooling that enable detection-as-code practices and scalable deployment
• Map detection coverage to MITRE ATT&CK, identifying and prioritizing gaps across key attack surfaces
• Lead projects, mentor teammates, and champion quality standards within the team

Who you are

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

Minimum requirements

• 5+ years of experience in detection engineering, threat hunting, or security operations
• Demonstrated experience writing detection logic in modern SIEM platforms (e.g., Splunk, Chronicle, Elastic, CrowdStrike NG-SIEM, Panther, Microsoft Sentinel)
• Strong understanding of adversary tradecraft across the attack lifecycle: initial access, privilege escalation, lateral movement, defense evasion, persistence, and exfiltration
• Ability to extract TTPs from threat intelligence reports and translate them into detection opportunities
• Experience developing network-based and endpoint-based detections across multiple OS platforms (Windows, Linux, macOS)
• Experience analyzing telemetry across endpoint, network, cloud (AWS/GCP/Azure), identity, and application log sources
• Proficiency in detection/query languages (SPL, KQL, EQL, YARA-L, SQL) and programming (Python or similar)
• Strong communication skills with the ability to document detection logic and explain findings to technical and non-technical audiences
• Adversarial mindset — understanding how attackers operate to build detections that catch real-world threats

Preferred qualifications

• Experience in detection engineering or threat hunting within fintech, financial services, or highly regulated environments
• Background in malware analysis, reverse engineering, or threat research
• Experience with purple team operations — collaborating with offensive security to validate detections
• Familiarity with big data platforms (Databricks, Trino, PySpark) for large-scale log analysis
• Proficiency with AI/LLM-assisted development tools (Claude Code, Cursor, GitHub Copilot) applied to detection workflows
• Interest in agentic automation — using LLMs to augment hunting, tuning, or triage
• Experience with detection validation tools (Atomic Red Team, ATT&CK Evaluations)
• Contributions to open-source detection content, research, or conference presentations
• Relevant certifications such as HTB CDSA, GCIH, GCFA, GNFA, OSCP, TCM PMAT, or GREM

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.

Engineering Manager, Machine Learning

Do you want to lead a team building advanced decision systems that directly shape monetisation strategies across the PlayStation ecosystem? Are you passionate about combining machine learning and operational research to solve complex, high-impact business problems at scale? We are building systems that power decisions across a global catalogue of games, including base pricing across lifecycle stages of a game, while balancing revenue growth, player experience, and cannibalisation across titles.

We are looking for an experienced Machine Learning Engineering Manager to lead a hybrid team of Machine Learning engineers and Operations Research experts. You will work on high-impact, executive-visible initiatives, partnering closely with Product, Business, and Engineering teams to translate complex, ambiguous problems into scalable, production-ready systems.

What You’ll Do

Lead and grow a team of machine learning engineers and optimisation specialists, fostering collaboration across disciplines and raising the bar for technical excellence.

Build a high-performing, inclusive team by:

• Coaching and developing engineers across ML and OR disciplines
• Providing clear feedback, career growth, and performance management
• Hiring and retaining top talent

Improve large-scale optimisation systems that:

• Incorporate predictive signals from machine learning models (e.g., demand forecasting, item elasticity).
  
  
• Leverage optimisation frameworks using Gurobi to make decision recommendations under known business constraints.

Partner closely with Product, Business, and regional stakeholders to:

• Translate business goals and constraints into optimisation frameworks.
  
  
• Align on tradeoffs between short-term performance and long-term strategy.
  
  
• Resolve conflicting priorities through data-driven decision-making.

Ensure systems are explainable, trustworthy, and actionable by:

• Providing clear reasoning behind model-recommended decisions.
  
  
• Enabling debugging and traceability across ML and optimisation components.
  
  
• Driving adoption with business and product stakeholders.

You Bring:

• Deep understanding of the relevant ML and OR domains and infrastructure with a track record of delivering complex ML and OR systems into production.
• Proven strong experience leading and developing high-performing ML and OR teams, including: Growing engineers across different skill sets (Machine Learning, ML Infra, Operational Research); Driving career growth and performance evaluation; Hiring and retaining high-performing teams.
• Demonstrated ability to create a strong team culture with high accountability, creativity and continuous improvement.
• Ability to provide technical direction at the architecture level while fostering pragmatic, high-quality, high-velocity execution.
• Demonstrated success driving cross-functional initiatives that require influencing without direct authority, in fast-moving environments
• Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.

• MS, or PhD in Computer Science, Machine Learning, Operational Research

Preferred Qualifications:

• Hands-on experience with tools such as Gurobi, Snowflake, Databricks, and PySpark.
• Experience in pricing, promotions or marketplace optimisation.
• Experience in modelling demand elasticity and forecasting.
• Experience in the gaming or digital content industry.
• Experience working with globally distributed functions and teams.

About Us:

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

Galway Office 

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

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

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

About the Team

The Data Engineering team plays a pivotal role in RTR’s technology and analytics ecosystem. The team is responsible for the data warehouse, data ingestion and transformation pipelines, and the infrastructure that enables reliable, high-quality data to flow across the company.

The team partners closely with Data Science, Business Intelligence, Machine Learning, Product, Finance, Marketing, Operations, and Engineering teams to ensure RTR’s data platform is trusted, scalable, well-governed, and able to support critical business decisions.

What You’ll Do

As an Engineering Manager for Data Engineering at Rent the Runway, you will lead the team responsible for building, operating, and evolving RTR’s core data platform. You will combine strong engineering leadership with a deep understanding of data systems, data quality, platform reliability, and stakeholder needs.

You will be responsible for leading a team of talented data engineers, setting technical direction, driving delivery of strategic data initiatives, and ensuring our data warehouse, pipelines, models, and data platform infrastructure are reliable, scalable, secure, and well-governed.

This role is ideal for someone who enjoys building strong teams, partnering across technical and non-technical stakeholders, and leading data engineering work that has meaningful business impact. You will help shape how RTR captures, transforms, governs, and uses data across the organisation.

• Lead and develop a team of data engineers.
• Own delivery of key data engineering initiatives, from planning through execution.
• Drive the evolution of RTR’s data platform, including the data warehouse, pipelines, transformations, orchestration, and supporting infrastructure.
• Partner with Data Science, BI, ML, Product, Finance, Operations, and Engineering teams to deliver trusted data solutions.
• Set priorities for the team, balancing strategic work, stakeholder needs, operational support, and technical debt.
• Promote strong data quality, governance, documentation, lineage, and ownership practices.
• Help the team build reliable data pipelines using tools such as dbt, Python, Prefect, Airflow, or similar.
• Ensure data systems are observable, supportable, and operated with strong production practices.
• Communicate clearly with technical teams, non-technical stakeholders, and senior leadership.
• Build a team culture of ownership, quality, collaboration, and continuous improvement.

About You

• You have experience leading engineers in data engineering, data platform, software engineering, or a related technical area.
• You understand modern data engineering practices, including ingestion, transformation, modelling, orchestration, data quality, and governance.
• You have experience with cloud data platforms such as Snowflake, BigQuery, Redshift, Databricks, or similar.
• You are comfortable with SQL and understand how reliable analytical data models are built and maintained.
• You have worked with tools such as dbt, Python, Prefect, Airflow, Looker, Tableau, Fivetran, or similar.
• You can manage technical roadmaps, prioritise effectively, and deliver cross-functional projects.
• You communicate well with both technical and non-technical stakeholders.
• You care deeply about coaching engineers and supporting their career growth.
• You balance strategic delivery with operational excellence and support.
• Experience with CI/CD, cloud infrastructure, Terraform, or data observability is a plus.

Benefits:

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

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

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

#LI-EM1

About the Role

We are looking for a Senior Solutions Product Marketing Manager to join our Product + Portfolio Marketing team and own Fivetran's solutions marketing program end-to-end. This is a highly strategic, cross-functional role responsible for building and scaling how Fivetran goes to market around customer use cases and solutions, translating technical capabilities into compelling, outcome-based narratives that resonate with both technical and business buyers. As the owner of this program, you will iterate on the framework, set the strategy, and drive execution across use cases, solution positioning, and the assets that bring them to life for sellers, partners, and customers.

You'll work with Sales and Marketing to ensure the solutions framework is adopted in the field and activated across campaigns and programs, while also partnering with Product to keep solution positioning grounded in specific products. You'll engage personas spanning data engineers and architects to analytics leaders, CDOs, and CIOs, connecting technical capabilities to business outcomes across the modern data landscape.

This is a full-time position based out of our Dublin office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

What You'll Do

• Solutions Program Ownership: Own Fivetran's solutions marketing framework, including use case categories, technical and business use cases, and solution positioning. Build and maintain a scalable program that connects customer pain points and buying triggers to Fivetran's platform capabilities. Establish a review cadence to keep use cases, solutions, and messaging current as the market and product evolve. As the program matures, develop an industry vertical layer that connects Fivetran's solutions to the specific challenges and use cases of priority industries such as retail, financial services, healthcare, and manufacturing.
• Messaging and Positioning: Develop differentiated, outcome-based messaging and positioning for each priority use case and solution, tailored to relevant buyer personas and segments. Translate complex technical concepts into clear value narratives that resonate across the buyer journey, from initial discovery through evaluation and expansion. Partner with Product to ensure solution positioning is grounded in platform capabilities and reflects the latest product priorities.
• Sales Adoption and Iteration: Partner closely with Sales leadership, AEs, BDRs, SEs, and CSMs to drive adoption of the solutions selling framework in the field. Actively gather feedback on what messaging is landing, which discovery questions are effective, and where sellers are running into gaps or objections, then use that input to continuously iterate on the framework and assets.
• Content and Sales Enablement: Build and maintain a comprehensive bill of materials for solutions selling, including solution briefs, discovery question guides, reference architecture diagrams, sales playbooks, and competitive battle cards. Partner with Sales Enablement to train and equip sellers with the tools and context they need to lead use case-driven conversations. Map customer success stories and case studies to priority use cases to support pipeline and expansion motions.
• Cross-Functional Collaboration: Serve as the connective tissue between Product, Sales, Marketing, and Enablement, aligning stakeholders on priorities, messaging, and delivery timelines. Collaborate with Partner Marketing to develop joint solution plays with key ecosystem partners such as Snowflake and Databricks. Partner with Demand Generation and Campaign teams to ensure use case and solution messaging is activated across marketing channels and sales motions.
• Customer and Market Intelligence: Conduct ongoing research into customer buying patterns, competitive positioning, and partner strategies to inform and validate use case and solution priorities. Synthesize inputs from win/loss analysis, sales calls, seller feedback, and industry analyst conversations to continuously sharpen positioning. 

Skills We're Looking For

• 5–8 years of experience in product marketing, solutions marketing, sales engineering, or a related GTM function, ideally at a B2B data or enterprise SaaS company
• Proven experience owning a solutions or use case marketing program, including defining frameworks, building messaging, and delivering enablement assets at scale
• Familiarity with industry vertical go-to-market motions and how solution positioning shifts across verticals such as retail, financial services, or manufacturing
• Understanding of enterprise sales motions, including new business and expansion plays, and how solutions-based selling fits into each
• Understanding of the modern data ecosystem, including data integration, cloud data warehouses, data lakes, and emerging AI and analytics use cases
• Experience working cross-functionally across Sales, Product, SE, and Enablement teams to align on priorities and drive execution
• Exceptional written and verbal communication skills, with the ability to adapt messaging for different personas, mediums, and stages of the buyer journey
• Strong project management skills with the ability to manage a complex, multi-workstream program and meet deadlines in a fast-moving environment
• A data-driven mindset, comfortable using win/loss data, pipeline metrics, and content performance to inform decisions and measure program impact

#LI-NR1
#LI-HYBRID

Location
Our Solutions Engineer, DoiT Cloud Intelligence, will be an integral part of our Solutions Engineering team in the UK, Ireland, Netherlands, Estonia and Sweden.

Who We Are
DoiT is a global technology company empowering cloud-driven organizations to achieve business growth and innovation through strategic cloud utilization. We blend data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state, from initial planning to full-scale production.
With extensive experience across various cloud environments, we possess deep specializations in Cloud Data Platforms such as  Snowflake, Databricks, BigQuery, as well as FinOps experience. As a trusted and award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we proudly support over 4,000 customers worldwide.
Our flagship offerings include DoiT Cloud Intelligence, which uniquely combines advanced technology with human insight, enabling us to solve complex multicloud challenges and drive significant efficiency for our clients.

The DoiT Cloud Intelligence platform offers:

• Provides deep visibility into cloud cost, usage, performance, and optimization opportunities across complex multi-cloud environments, enabling organizations to make data-driven infrastructure decisions.
• Combines automation, analytics, and expert guidance to identify savings opportunities, improve resource efficiency, and continuously optimize cloud investments at scale.
• Designed to power Managed Service Providers (MSPs), Systems Integrators (SIs), and Private Equity (PE) operating teams with portfolio-level insights, benchmarking, and operational tooling to manage multiple cloud environments effectively.
• Goes beyond reporting by delivering prescriptive recommendations and automated workflows that help engineering, finance, and platform teams turn cloud intelligence into measurable operational and financial outcomes.

The Opportunity
As a Solutions Engineer supporting DoiT Cloud Intelligence, you will partner with Account Executives to help enterprises, MSPs, Private Equity firms, and Systems Integrators unlock actionable insights across their cloud environments—driving cost efficiency, operational visibility, and smarter cloud decision-making through DoiT’s next-generation intelligence platform.

Responsibilities

• Technical Qualification & Discovery: Collaborating with the Account Executive to thoroughly understand the prospect’s cloud environment, FinOps maturity, cost management challenges, and operational goals through in-depth technical discovery sessions across engineering, finance, and platform teams.
• Technical Validation & POV Leadership: Owning and driving the technical validation and Proof of Values (POVs) specifically for DoiT Cloud Intelligence. This includes meticulous POV preparation, proactive management, and ensuring successful technical outcomes, demonstrating clear value and alignment with prospect requirements.
• Platform Demonstrations: Developing and delivering compelling and tailored demonstrations of DoiT Cloud Intelligence, showcasing capabilities such as cloud cost visibility, optimization insights, and operational intelligence across complex multi-cloud environments.
• Business Case & ROI Development: Leveraging your understanding of cloud economics and FinOps to develop compelling business cases and ROI analyses that clearly articulate the financial and operational impact of adopting DoiT Cloud Intelligence.
• Partner & Portfolio Motion Support (MSP, PE, SI): Supporting technical engagements with Managed Service Providers (MSPs), Private Equity (PE) firms, and Systems Integrators (SIs) by demonstrating how DoiT Cloud Intelligence enables portfolio-level visibility, operational insights across multiple cloud environments, and scalable optimization strategies.
• DoiT Cloud Intelligence Expertise: Becoming the go-to expert within the company for DoiT Cloud Intelligence, ensuring prospects and partners achieve optimal results and a seamless onboarding experience.
• Technical Win Ownership: Taking full ownership of the technical win for DoiT Cloud Intelligence engagements, guiding prospects through the evaluation process, addressing technical requirements, and building confidence in the platform’s ability to drive cloud efficiency and operational insights.
• Event & Conference Presentations: Representing DoiT Cloud Intelligence at company events, webinars, and industry conferences, delivering engaging presentations and demonstrations that highlight the platform’s cloud intelligence and FinOps capabilities.
• Product Feedback and Customer Advocacy: Translate customer pain points, partner requirements, and feature gaps into structured, technically credible input for product and engineering teams, helping shape the evolution of the Cloud Intelligence platform.
• Accurate, Timely Documentation: Ensure timely entry of data into internal business support systems. Contribute to systems and tools that provide key business information and metrics to highlight performance and effectiveness.

We are seeking an individual who is not only passionate about FinOps and  optimization but also thrives on engaging technically with customers, solving their most pressing challenges related to FinOps and cost management. This role offers the exciting opportunity to be at the forefront of innovation within the rapidly evolving FinOps ecosystem.

About you
You are an accomplished Solutions Engineer with experience in a B2B SaaS software environment.  You have an established track record of success and enjoy being the model for the ideal Solutions Engineer within a team.  You are excited about enabling companies to transform themselves using the public cloud and the service offerings in the cloud (AWS, GCP, Azure, etc.)  You hold yourself accountable for the success of any initiative you are involved in. You want to be a part of a high performance sales organization and love winning against the competition.  You are comfortable working in a fast paced, growing, collaborative, entrepreneurial environment.

Qualifications

• 7+ years experience at B2B SaaS software company in a pre-Solution Engineering role selling into both enterprise and mid-market accounts.
• An understanding of ITSM eco-systems and prominent solutions within them, such as: Cloud Management tools, DataDog, Chef, Ansible, Puppet, New Relic, ServiceNow, AlertLogic etc.
• Experience working with Amazon Web Services (AWS) or equivalent cloud, and Datacenter experience with knowledge of hypervisors like VMWare.
• Strong data analysis skills and the ability /navigate spreadsheets to identify trends, outliers, correlations and reconciliation needs across large data sets.
• Good practical understanding of cloud-centric architectures.
• Comfort level working in a metric-driven environment, including reporting on and improving business performance against a set of monthly KPIs and metrics.
• The ability to take complex pieces of technology and explain them in a simple and easy to understand way.
• Solid verbal, written, presentation and interpersonal communication skills.
• Intellectual curiosity, great problem solving skills and passion for continuous improvement.
• Previous experience working with/presenting to executive level prospects and customers.
• Experience with modern technical selling best practices and selling in a competitive environment, including implementing new or improved trial, demo, and RFP processes.
• Proven track record of success in a fast growing and scaling business. 

Are you a Do’er?
Be your truest self. Work on your terms. Make a difference.
We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally. 
What does being a Do’er mean? We’re all about being entrepreneurial, pursuing knowledge, and having fun! Click here to learn more about our core values. 

Sounds too good to be true? Check out our Glassdoor Page.
We thought so too, but we’re here and happy we hit that ‘apply’ button. 

• Unlimited Vacation
• Flexible Working Options
• Health Insurance
• Parental Leave
• Employee Stock Option Plan
• Home Office Allowance
• Professional Development Stipend 
• Peer Recognition Program

Many Do’ers, One Team
DoiT unites as Many Do’ers, One Team, where diversity is more than a goal—it's our strength. We actively cultivate an inclusive, equitable workplace, recognizing that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success.

#LI-Remote

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

Your Role:

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

Your Opportunity:

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

What You'll Need:

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

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

#LI-AV1

#LI-Hybrid

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

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

Overview

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

Responsibilities

Core Data Infrastructure 

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

Governance & Collaboration 

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

Advanced Data Operations 

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

AI-Enhanced Development

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

Leadership & Innovation 

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

Qualifications 

Minimum Qualifications  

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

Preferred Qualifications 

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

Travel Required

Up to 10%

Other Duties

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

What it’s like to work at Rithum 

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

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

At Rithum you will:

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

Benefits 

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

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

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

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

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

Overview

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

Responsibilities

Core Data Infrastructure 

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

Governance & Collaboration 

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

Advanced Data Operations 

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

AI-Enhanced Development

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

Leadership & Innovation 

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

Qualifications 

Minimum Qualifications  

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

Preferred Qualifications 

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

Travel Required

Up to 10%

Other Duties

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

What it’s like to work at Rithum 

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

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

At Rithum you will:

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

Benefits 

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

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

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

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

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

Overview

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

Responsibilities

Core Data Infrastructure 

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

Governance & Collaboration 

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

Advanced Data Operations 

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

AI-Enhanced Development

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

Leadership & Innovation 

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

Qualifications 

Minimum Qualifications  

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

Preferred Qualifications 

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

Travel Required

Up to 10%

Other Duties

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

What it’s like to work at Rithum 

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

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

At Rithum you will:

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

Benefits 

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

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

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

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

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

Overview

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

Responsibilities

Core Data Infrastructure 

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

Governance & Collaboration 

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

Advanced Data Operations 

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

AI-Enhanced Development

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

Leadership & Innovation 

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

Qualifications 

Minimum Qualifications  

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

Preferred Qualifications 

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

Travel Required

Up to 10%

Other Duties

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

What it’s like to work at Rithum 

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

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

At Rithum you will:

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

Benefits 

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

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

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

About the Role

Fivetran is building data pipelines to power the modern data stack for thousands of companies.

We’re looking for a talented Sales Engineer to join our Commercial sales team. As a Commerical Sales Engineer, you will work closely with our sales team to understand our Commercial customers’ complex business needs and showcase how Fivetran’s data replication solutions can help them achieve their desired business outcomes. You will be responsible for providing technical expertise, identifying technical requirements, and ensuring a successful proof-of value throughout the sales cycle.

This is a full-time position based out of our Dublin office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

Technologies You’ll Use

 AWS, GCP, Azure, Snowflake, BigQuery, Databricks,  Kubernetes, Docker, Podman, Grafana, Linux, Windows, Python, Java 

What You’ll Do

• Work with Commercial customers to understand their business, their use cases, and their data replication requirements
• Develop and deliver technical presentations to Commercial audiences
• Ensure the technical win by running an organized proof-of-value process
• Work closely with multiple cross-fuctional organizations driving change and improvements to Fivetran as a whole.
• Work closely with multiple Sales representatives, while maintaining a high level of customer focus and technical excellence
• Stay up-to-date on the latest technologies and trends in our industry
•  Assist team members in advanced technical or business roadblocks

Skills We’re Looking For

• 4+ years in data replication, sales engineering, or related technical field
• Strong technical background covering database replication, cloud infrastructure, and data replication technologies with some form of hands on experience
• Experience with modern data analytics technologies, including cloud data warehouses, transformation tooling, data catalogs, and BI tools
• Excellent communication and presentation skills with a keen ability to explain complex technical concepts to both technical and non-technical stakeholders
• Strong problem-solving and analytical skills
• Experience with Oracle, SQL Server, Postgres, MySQL, and NoSQL databases
• Hands on experience with other data replication or ETL tools
• Experience with self-hosted software applications and supporting infrastructure
• Hands on networking experience both in the cloud and on-premise

Bonus Skills​

• Experience developing partner relationships
• Specialized expertise in security posture 
• Experience with self-hosted and SaaS software applications
• Hands on experience with DBT

#LI-LA1
#LI-HYBRID

Location: Our Solutions Engineer, SELECT by DoiT, will be an integral part of our Solutions Engineering team in EMEA. This role is based remotely in the UK or the Netherlands.

Who We Are

DoiT is a global technology company that empowers cloud-driven organizations to achieve business growth and innovation through strategic cloud utilization. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state—from initial planning to full-scale production.

With deep experience across cloud environments, we specialize in Cloud Data Platforms such as Snowflake, Databricks, and BigQuery, alongside strong FinOps expertise. As a trusted and award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we support over 4,000 customers worldwide.

Our flagship offerings include DoiT Cloud Intelligence, which uniquely blends advanced technology with human insight to solve complex multicloud challenges and drive efficiency. We also offer SELECT for Snowflake—a pioneering solution for cost observability and optimization (with Databricks and BigQuery support coming soon). By automating optimizations and delivering actionable cost-saving insights, SELECT enables organizations to achieve unparalleled efficiency across their Cloud Data Platforms: https://select.dev/

The Opportunity

As a Solutions Engineer, SELECT by DoiT, you will be a pivotal technical leader, collaborating closely with our Account Executive team to deliver exceptional value throughout the customer journey, specifically focusing on our cutting-edge Snowflake/Databricks optimization capabilities.

Responsibilities

• Technical Qualification & Discovery: Collaborating with the Account Executive to thoroughly understand the prospect's technical environment, Cloud Data Platform cost challenges, cost optimization goals, and key business objectives through in-depth technical discovery sessions.
• Technical Validation & POV Leadership: Owning and driving the technical validation and Proof of Value (POV) exercises for SELECT. This includes meticulous POC preparation, proactive management, and ensuring successful technical outcomes, demonstrating clear value and alignment with prospect requirements.
• Platform Demonstrations: Tailoring and delivering compelling SELECT platform demonstrations to prospects, effectively showcasing its capabilities and addressing their specific use cases and concerns.
• Business Case & ROI Development: Leveraging your analytical skills and deep understanding of Cloud Data Platform to develop compelling business cases and robust ROI analyses that clearly articulate the tangible value, cost savings, and performance improvements achievable with SELECT.
• SELECT Expertise: Becoming the go-to expert within the company for SELECT, ensuring prospects achieve optimal results and a seamless implementation experience.
• Technical Win Ownership: Taking full ownership of the technical win for SELECT engagements, guiding prospects through the technical evaluation process, addressing all technical requirements, and building technical confidence in the solution.
• Event & Conference Presentations: Representing DoiT and SELECT at company events and industry conferences, delivering engaging presentations and demonstrations to a wider audience, showcasing our Snowflake/Databricks (and soon BigQuery) optimization expertise as well as platform capabilities.
• Product Feedback and Customer Advocacy: Translate customer pain points and feature gaps into structured, technically credible input for R&D teams. Represent the voice of the technical customer in roadmap discussions.
• Accurate, timely documentation: Ensure timely entry of data into internal business support solutions.  Contribute to systems and tools to provide key business information and metrics to highlight performance and effectiveness.

We are seeking an individual who is not only passionate about Snowflake/Databricks/BigQuery optimization but also thrives on engaging technically with customers, solving their most pressing challenges related to Cloud Data Platform cost and performance. This role offers the exciting opportunity to be at the forefront of innovation within a rapidly evolving ecosystem.

About You

You are an accomplished Solutions Engineer with a proven track record in a B2B SaaS environment, ideally with a strong emphasis on Snowflake/Databricks/BigQuery solutions. You excel as a technical leader within a sales team and are enthusiastic about empowering companies to optimize their Cloud Data Platform environments for maximum cost efficiency and performance through innovative solutions like SELECT. You are highly accountable for the technical success of all initiatives you are involved in and are driven to contribute to a high-performing sales organization that consistently wins in a competitive market. You are comfortable and thrive in a fast-paced, growing, collaborative, and entrepreneurial setting.

Qualifications

• 5+ years of experience in a Solutions Engineering role within a B2B SaaS software company, having a significant portion of that experience focused on selling to Snowflake, Databricks and BigQuery users and directly addressing challenges related to Cloud Data Platforms or cloud cost management.
• Deep and demonstrable understanding of Snowflake, Databricks, or BigQuery as well as associated best practices
• Hands-on experience working with SaaS solutions focusing on Cloud Data Platforms in the areas of observability, optimization, FinOps, or data integration.
• Exceptional data analysis skills with a proven ability to identify key trends, outliers, and correlations as well as the translation of those observations into actionable insights.
• Strong track record of leveraging product data to construct compelling business cases and ROI justifications for prospective customers, clearly demonstrating the substantial cost savings and performance enhancements achievable through our solution.
• Exceptional ability to articulate complex Cloud Data Platform related concepts and SELECT functionalities in a clear, concise, and easily understandable manner to both technical and business audiences.
• Outstanding verbal, written, presentation, and interpersonal communication skills, with the confidence and expertise to present on sophisticated topics such as Cloud Data Platform optimization strategies and the compelling value proposition of SELECT.
• Strong intellectual curiosity, exceptional problem-solving abilities, and a genuine passion for continuous learning and improvement within the dynamic Snowflake/Databricks/BigQuery ecosystem.
• Proven experience working with and presenting to executive-level prospects and customers on critical topics related to Cloud Data Platforms and especially cost management.
• Demonstrated experience with modern technical selling best practices/methodologies and a successful track record in competitive sales environments, including the ability to contribute to and implement effective trial, demo, and RFP processes specifically tailored for Cloud Data Platform optimization solutions like SELECT.
• Prior professional experience as a Snowflake/Databricks/BigQuery data engineer/architect or FinOps professional is a plus.
• A proven history of success in a fast-paced and scaling business, ideally within the Cloud Data Platform ecosystem.

Are you a Do’er?

Be your truest self. Work on your terms. Make a difference. 

We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally.  

What does being a Do’er mean? We’re all about being entrepreneurial, pursuing knowledge, and having fun! Click here to learn more about our core values. 

Sounds too good to be true? Check out our Glassdoor Page.

We thought so too, but we’re here and happy we hit that ‘apply’ button. 

Full-time employee benefits include: 

• Unlimited Vacation
• Flexible Working Options
• Health Insurance
• Parental Leave
• Employee Stock Option Plan
• Home Office Allowance
• Professional Development Stipend 
• Peer Recognition Program

Many Do’ers, One Team
DoiT unites as Many Do’ers, One Team, where diversity is more than a goal—it's our strength. We actively cultivate an inclusive, equitable workplace, recognizing that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success. 

#LI-Remote

We are seeking a proactive and impact-driven Learning & Development (L&D) Partner to design, deliver, and scale learning initiatives that support employee growth, leadership development, and organisational effectiveness. You will partner with leaders and teams across Tines to identify skills and capability gaps, implement learning solutions, and drive a culture of continuous development. 

This role requires one day per week on-site at our Dublin office.

Key Responsibilities

Learning Strategy & Execution

• Partner with Tines leadership to assess learning needs aligned to company goals.
• Design and deliver scalable learning programs across global locations
• Ensuring alignment with Tines’ company growth and talent priorities.

Program Design & Delivery

• Create and facilitate engaging learning experiences (including workshops, training events (for example Situational Leadership training), e-learning, coaching, and on-the-job learning).
• Facilitate sessions for employees and managers, both in-person and virtually.
• Manage external vendors and learning technology platforms (Easy Llama for example)
• Leverage automation (including Tines) to streamline L&D workflows, such as enrolment, feedback loops, and certification tracking.

Stakeholder Partnership

• Collaborate with functional leaders to tailor learning initiatives to team needs.
• Act as a trusted advisor to managers on development planning
• Partner with internal Subject Matter Experts (SMEs) by providing them with 'train-the-trainer' support to share technical knowledge effectively.

Performance & Career Development

• Support frameworks for career development, and high performance culture
• Enable managers to have effective development conversations and build high-performing teams.

Measurement & Impact

• Define success metrics for L&D initiatives and evaluate effectiveness through data, surveys and reporting metrics.
• Use insights to create meaningful dashboards to continuously improve programs and demonstrate ROI.

Culture & Engagement

• Champion a culture of continuous learning and psychological safety.
• Contribute to other broader People initiatives such as new hire onboarding that enhance employee experience. Own and optimize the new hire onboarding journey, ensuring a seamless transition that reduces 'time to productivity' for new joiners across all department

Required Experience & Skills

• 3–6 years of experience in Learning & Development, Talent Development, or related HR roles.
• Experience working in a fast-paced, scaling environment (ideally SaaS or technology).
• Proven track record of designing and delivering impactful learning programs.
• Proven ability to manage multiple complex projects simultaneously from inception to completion
• Strong instructional design and facilitation skills.
• Experience with modern learning tools and platforms
• Experience performing 'Needs Analysis' to determine if a problem requires a training solution or a process improvement.
• Experience designing content for a distributed, global workforce with an awareness of inclusive design.
• Ability to analyse data and translate insights into actionable improvements.
• Strong stakeholder management and influencing skills.
• Ability to align learning initiatives with business outcomes.
• Comfortable working cross-functionally with technical and non-technical teams.
• Highly collaborative and adaptable.
• Strong communication and storytelling skills.
• Growth mindset with a passion for developing others.

Qualifications

• Bachelor’s degree in HR (or related field)
• Relevant L&D certifications, or other coaching certifications.
• CIPD certification

#LI-SW1

As a Senior Renewals Manager you will be responsible for managing the entire renewal lifecycle for our customers, playing a critical role in driving retention, reducing churn, and maximizing net revenue retention (NRR) through seamless and strategic renewal processes. As one of our first dedicated Renewals Specialists, you will help define and establish best practices and processes for our renewal operations.

What you will be doing:

• Own and manage the complete renewals process for Tines' customer portfolio, ensuring high retention rates and customer satisfaction
• Proactively identify and engage with accounts approaching renewal, developing strategies to secure renewals and expand usage
• Develop and execute advanced renewal strategies, including multi-year agreements, complex contract structuring, and negotiation of high-value renewals
• Collaborate closely with Customer Success Managers and Account Executives to understand customer health and develop tailored renewal strategies
• Track and analyze renewal metrics, providing regular forecasts and insights to leadership
• Identify upsell and cross-sell opportunities within the existing customer base
• Develop and implement standardized renewal processes and best practices
• Negotiate renewal terms and conditions when appropriate
• Maintain accurate customer data and renewal information in our CRM system
• Build strong relationships with technical stakeholders and security teams at customer organizations
• Stay informed about product updates and industry trends to effectively communicate value to customers

What you bring with you:

• 7+ years of experience in renewals, account management, or quota-carrying sales roles
• Demonstrated success in achieving targets, managing customer relationships, and driving revenue retention or growth
• Experience working with technical products, preferably in cybersecurity, automation, or enterprise SaaS
• Understanding of security operations, workflows, and challenges faced by security teams
• Strong negotiation and communication skills, with the ability to articulate value to technical stakeholders
• Strong understanding of SaaS metrics, customer lifecycle, and recurring revenue models
• Experience using CRM systems (Salesforce preferred) and data analysis tools
• Excellent organizational skills with the ability to manage multiple accounts simultaneously
• Self-motivated with the ability to work independently and establish processes

#LI-SW1

Senior Data Engineer (Perm, Ireland, Hybrid)

This is a permanent full time opportunity for those based in Ireland. This role will require travel to Germany.

About Nearform

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

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

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

As part of our Engineering function, you will work closely with clients to translate complex business requirements into innovative digital products. Whether you are a Senior Engineer, Tech Lead, or DevOps Engineer, you will collaborate with distributed teams, leveraging cutting-edge technologies to build secure, high-performance applications. Our Nearform engineers are known for building high quality, scalable solutions that solve real world problems.

About the Senior Data Engineer role

As a Senior Data Engineer at Nearform your main task will be designing, building, and maintaining scalable data platforms, pipelines, and warehouses using SQL, Python, Spark, and other relevant technologies. You will play a key role in building efficient data solutions, optimizing performance, and ensuring seamless data integration. However as you’ll likely work on a variety of projects your responsibilities may also include:

• Designing, building, and optimizing data pipelines and ETL processes for large-scale data ingestion and transformation.
• Developing and maintaining data platforms and warehousing solutions to support analytics and business intelligence needs.
• Implementing scalable data storage solutions and ensuring high availability and performance.
• Enhancing performance in data processing workflows for maximum speed and scalability.
• Collaborating with data scientists, analysts, and stakeholders to understand business needs and translate them into data engineering solutions.
• Ensuring data quality, governance, and compliance across all systems.
• Supporting CI/CD processes for data pipeline deployments and implementing best practices in DevOps for data workflows.
• Conducting code reviews and enforcing best practices in version control, automation, and testing.
• Assisting with defining structured source code management and deployment processes.
• Working with and supporting Technical Leaders in project execution and timely delivery.
• Collaborating with client teams.

What we are looking for in this person

• Significant experience delivering at a Senior Engineer level, specialising in Data engineering. Our Seniors typically have at least 6 years’ commercial experience.
• Practical experience of delivering in an agile environment.
• Practical experience and knowledge of developing real-world solutions.
• Extensive hands-on experience in SQL, Python, and Spark for large-scale data processing.
• Databricks experience 
• Strong expertise in data warehousing technologies (e.g., Snowflake, Redshift, BigQuery, or similar).
• Experience with distributed data processing frameworks (Spark, Hadoop, or similar).
• Deep understanding of ETL processes, data modeling, and schema design.
• Strong experience with cloud-based data solutions (AWS, Azure, GCP) and data lake architectures.
• Experience with automation, CI/CD for data pipelines, and Infrastructure as Code (IaC).
• Deep understanding of versioning control tools - e.g. Git.
• Experience building software collaboratively using pull requests and code reviews.
• Familiarity with data governance, security, and compliance best practices.
• Excellent communication and collaboration skills.
• Professional proficiency in English.
• Must hold valid passport for travel.
• Travel, this role will require up to 1 week per month onsite in Germany.

Benefits & Perks

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

Our Interview Process

Talent Call (30 mins via Zoom)
An introductory conversation with a member of our Talent Team to learn more about your background, experience, and career goals. We'll also provide a high-level overview of Nearform and answer any questions you may have. This step helps us assess initial alignment.

Technical Assessment (1 hour via Zoom)
A live coding challenge with one of our trained interviewers. You'll be asked to build a working solution to a problem via screen sharing, demonstrating your data engineering expertise, problem-solving ability, and coding best practices in a real-time environment.

Hiring Manager Interview (45 mins via Zoom)
A conversation with a Hiring Manager focused on your approach to teamwork, client collaboration, and problem-solving in an enterprise development setting. We'll also share more details about Nearform and the potential projects you may join.

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

Ready to Join Us?

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

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

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

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

Senior Software Engineer - Identity and Access Management 

Location: Ireland 

You’ll join our new IAM team responsible for building and shipping authentication, authorization and integration credential features to our customers, but, as a small but growing software engineering organization, this role is not strictly limited to any single part of our product or stack. You'll also use your skills to improve the scalability of our authentication processes, observability of issues during incidents, and ensuring we’re aligning with best in class security practices.

This role is about more than writing code: you'll have an influential voice in shaping our technical direction, our product, and our culture. We have a hugely supportive and collaborative engineering team that takes great pride in the work we do and the challenges we solve. We’re eager to help grow and nurture each other’s abilities and also create an environment where we have the ability to do our very best work.

You can work fully remotely from anywhere in Ireland, and also make use of our office space in Dublin as much as you want.

What you will be doing: 

• Work closely with colleagues to build the right solutions to the problems our customers face.
• Make valuable changes in our codebase in your first week, and see them live in production minutes after merging them.
• Write and review high quality, well tested code to ensure that we’re creating a stable product for our customers, and a stress-free codebase for ourselves.
• Identify areas for improvement, both in our codebase and in how we work, and share the responsibility of making our team better.
• Own the problems you’re solving - and the software you write to solve them - all the way to production and beyond, responding to customer feedback to improve those solutions.

• Use your knowledge and experience to mentor other engineers in our team, providing support and guidance to help them grow their abilities.
• Help prioritize our roadmap, identifying how we can use our time pragmatically and effectively.

Projects you might work on:

• Leading the work to introduce entirely new login, authentication and session features, like login recovery codes and impersonation, from proposing the ideas and early tech plans through to final UI fixes.
• Ensuring that enabling our integration layer is as simple and seamless, including experience improvements.
• Collaborating with our Product, Design and Customer Success teams to ship enhancements to our role based access platform, including new permissions, and iterate on them in response to feedback.
• Elevating customers’ Tines environment monitoring by boosting audit logging capabilities, like providing native export ability to tools like Splunk.
• Creating a Tines story for developers to replicate customer bugs with local configuration of SSO, SCIM and JIT for user authentication and provisioning.

Is this the right role for you?

Proven track record of success as a senior software engineer. This is a senior role and we’re looking for candidates with a well of experience to draw from. 

• You’ll need to have a proven track record of building and delivering software using a high-level programming language. Our interview process includes assessing your technical competence through Byteboard so you should feel completely comfortable working at the commensurate technical level. Our main languages are Ruby and TypeScript, but you don’t have to be familiar with those - we value curiosity and an eagerness to learn. We’ll also cover the cost of education material to bring you up to speed.

• Your abilities matter, not your education or exactly where you’ve worked. We just need you to show us that you have accumulated the skills and knowledge needed to succeed.

• Strong IAM domain knowledge and experience of building secure, scalable identity and access control systems for cloud-based applications.

• This role is broad, not specialized. You’ll work right across our full stack, backend and frontend. You don’t need to have expertise in all areas of our stack (no one on the team does), but you will need to be comfortable pitching in anywhere when needed, with the support of your teammates. This allows us to be more effective as a team, and provides a lot of opportunities for you to learn.

• We’re focused on the most important problems, not the most interesting ones. Your time and energy are limited, so in order to succeed you’ll need to spend it where it will make a difference. We view technologies as a means to an end, and stick to simple, common tools - Ruby, Rails, React, TypeScript, Postgres, Redis and Docker. 

• We work healthily and sustainably. We work reasonable hours, we take our holidays and we plan our workloads realistically. No matter how excited we get by a project, it’s more important to not get burnt out from overwork.

• Your contributions will be obvious. On a small team like ours, you don’t have to spend a ton of time and energy making sure your work is seen - your impact and value will be clear to everyone.

• We’re building an inclusive, supportive team. We have a wonderfully wide spectrum of colleagues at Tines, and we treat them all with kindness and respect - we expect that you will too. We don’t hire people that treat their colleagues badly, no matter how talented they are.

• We’re bringing programming to everyone. As software engineers, we can appreciate the power of using software to automate manual work. In our team, we get to use our knowledge to help bring this power to our customers, without them having to learn how to code.

#LI-SW1 

The Customer Success Manager role will play a critical part in the exciting growth trajectory of Tines. As an automation platform, the more the customer automates, the more value they see. Your role will be to drive adoption and expand the usage across the customer base, ensuring that our customers realize the full potential of the platform. Alongside expansion with existing teams, you will play a crucial part in our strategy to expand outside of security teams into other functions in our clients (IT, Engineering, Operations).

You will do this by supporting our customers from onboarding to ongoing support to expansion and renewals. You will become a trusted advisor and subject matter expert on the Tines product, helping foster champions within the customer who will identify automation opportunities across their organization. At the same time, you will provide feedback to our Product and Engineering teams, helping us shape the future of the product. The role will also partner closely with Sales, Support, Marketing, and other internal teams.

Location: This is a remote role that can be based anywhere in Ireland.

What you will be doing:

• Support the key phases of the customer journey: onboarding, adoption/value conversations, business reviews and renewal.
• Leading a first-class onboarding experience and ensuring customer use cases and requirements are met in the specified timeline
• Translating technical customer needs to internal technical teams and delivering feedback to the Product team on new feature requests and enhancements to shape and improve the platform
• Coordinating onboarding and business reviews to evaluate performance, learn about the customers priorities, and locate new opportunities to promote expansion within existing and new teams
• Partnering with internal resources to build account plans and align customer needs with use cases to increase platform usage
• Proactively identify risks to the customer achieving their stated goals, and work with the CSM / PM teams to develop and drive a comprehensive risk mitigation plan
• Identifying issues that impact customers and/or challenges in the business and are able to provide thought leadership in finding a customer solution or assist in co-development of process improvement, programs and/or assets
• Developing and driving a renewal plan and delivering a strategic message to analysts, management, and executive stakeholders on the value of Tines and next steps for the account
• Review account dashboards, metrics, log-ins, and use cases to determine the health of the customer
• Manage a book of business by evaluating data indicators and health of accounts to drive renewals and expansion strategies

What you bring with you:

• 5+ years of experience in a technical account management, customer success, or post-sales role at a technology company
• Fluent in German
• Experience with a SaaS solutions offering for technical teams (cybersecurity, DevOps, IT, other)
• Experience asking questions to uncover problems, locate new opportunities, and translate technical requirements to internal teams and partners
• Knowledge of how to solve complex problems by utilizing internal resources and when to engage management or leadership
• Knowledge of API's + how they function

#LI-SW1

Sr. Software Engineer 

We're hiring a software engineer to join the team responsible for making our self-hosted product offering as easy as possible for our customers to install and operate. You'll build and improve the product features and tooling that power self-hosted installations, ensuring our customers have a seamless experience whether they run Tines in our cloud or in their own infrastructure.

This role is about more than writing code: you'll have an influential voice in shaping our technical direction, our product, and our culture. We have a hugely supportive and collaborative engineering team that takes great pride in the work we do and the challenges we solve. We're eager to help grow and nurture each other's abilities and also create an environment where we have the ability to do our very best work.

Location: (Ireland - remote)

You can work fully remotely from anywhere in Ireland. You can make use of our Tines office space in Dublin to meet up with other members of the engineering team when you wish.

In this role, you'll:

• Drive the technical direction of our self-hosted delivery and design product features that work seamlessly across cloud and self-hosted environments.
• Make changes in our codebase in your first week, and see them live in production minutes after merging them.
• Build and improve the software that powers how customers install, configure, upgrade, and operate Tines in their own infrastructure.
• Write and review high quality, well tested code to ensure that we're creating a stable product for our customers, and a stress-free codebase for ourselves.
• Identify the most important problems to solve across our self-hosted stack, shape the technical approach, and share the responsibility of making our team better.
• Own the problems you're solving - from scoping ambiguous challenges through to production and beyond, responding to customer feedback to improve those solutions.
• Use your knowledge to mentor other engineers in our team, providing support and guidance to help them grow their abilities.

Projects you might work on:

• Building and improving Helm charts and Kubernetes deployment configurations to streamline installation, database migrations, and upgrade workflows for self-hosted customers.
• Collaborating closely with our Product and Design teams to bring new product capabilities to self-hosted customers like tiered storage support, the next generation of our RunScript feature, and zero downtime upgrades.
• Developing product features that enable self-hosted customers to manage observability, logging, and monitoring within their own environments using tools like OpenTelemetry.
• Using our own product to automate and improve our Self-Hosted release process or improve the services we maintain to enable Self-Hosted customers.
• Write a blog post to share something interesting we learned with the community.

Is this role right for you?

• Roughly 7+ years as a professional software engineer. Proven track record of success as a senior software engineer. This is a senior role and we're looking for candidates with a well of experience to draw from.
• You'll need direct experience of building and delivering software using a high-level programming language. Our interview process includes a Byteboard exercise which involves adding features to a small command-line app, so you should feel very comfortable working at that level of technical complexity. You can use a language you're comfortable with to complete the coding section.
• Experience building software for containerized or self-hosted deployment environments is a strong plus. Familiarity with Kubernetes, Helm, and container orchestration concepts will help you hit the ground running.
• Your abilities matter, not your education or exactly where you've worked. We just need you to show us that you have accumulated the foundational skills and knowledge needed to succeed. Our main languages are Ruby and TypeScript, but you don't have to be familiar with those - we value curiosity and an eagerness to learn. We'll also cover the cost of education material to bring you up to speed.
• This role is broad, not specialized. While your main focus will be on building software for our self-hosted product offering, you'll work right across our stack. You don't need to have experience in all of these areas, but you will need to be excited to pitch in anywhere when needed, with the support of your teammates. This allows us to be more effective as a team, and provides a lot of opportunities for you to learn.
• You are customer obsessed and willing to go deep into unfamiliar stacks to find root causes for errors, performance issues, and bugs. You understand that the best solution isn't always the best technical solution, but a compromise that meets customers where they are.
• We're focused on the most important problems, not the most interesting ones. Your time and energy are limited, so in order to succeed you'll need to spend it where it will make a difference. We view technologies as a means to an end, and stick to simple, common tools - Ruby, Rails, React, TypeScript, Postgres, Redis, AWS CDK, and Docker.
• We work healthily and sustainably. We work reasonable hours, we take our holidays and we plan our workloads realistically. No matter how excited we get by a project, it's more important to not get burnt out from overwork.
• Your contributions will be obvious. On a small team like ours, you don't have to spend a tonne of time and energy making sure your work is seen - your impact will be clear to everyone.
• We're building an inclusive, supportive team. We have a wonderfully wide spectrum of colleagues at Tines, and we treat them all with kindness and respect - we expect that you will too. We don't hire people that treat their colleagues badly, no matter how talented they are.
• We're bringing programming to everyone. As software engineers, we can appreciate the power of using software to automate manual work. In our team, we get to use our knowledge to help bring this power to our customers, without them having to learn how to code.

You’ll join the team primarily responsible for scaling the throughput and performance of the core, backend job processing engine at Tines. However, since we’re still a small but growing software engineering organization, this role is not strictly limited to any single part of our product or stack.

This role is about more than writing code: you'll have an influential voice in shaping our technical direction, our product, and our culture. We have a hugely supportive and collaborative engineering team that takes great pride in the work we do and the challenges we solve. We’re eager to help grow and nurture each other’s abilities and also create an environment where we have the ability to do our very best work.

Location:

You can work fully remotely from anywhere in Ireland. You can make use of our Tines office space in Dublin to meet up with other members of the engineering team when you wish.

In this role, you’ll:

• Work closely with colleagues to build the right solutions to the problems our customers face.
• Make valuable changes in our codebase in your first week, and see them live in production minutes after merging them.
• Shape how workflow execution happens at the very heart of our system, to help us power the world’s most important workflows.
• Write and review high quality, well tested code to ensure that we’re creating a stable product for our customers, and a stress-free codebase for ourselves.
• Identify areas for improvement, both in our codebase and in how we work, and share the responsibility of making our team better.
• Own the problems you’re solving - and the software you write to solve them - all the way to production and beyond, responding to customer feedback to improve those solutions.
• Use your knowledge to mentor other engineers in our team, providing support and guidance to help them grow their abilities.

Projects you might work on:

• Improve action throughput to meet our growing customers’ scale.
• Create internal and customer facing controls that allow Tines and our customers to configure job prioritization levels, ensuring the most critical workflows are executed in a timely manner. 
• Optimize the storage and search of customers’ event data.
• Ensure jobs are executed in a balanced and fair manner, particularly on multitenant stacks. 
• Enhance Tines' observability by introducing new features that empower customers to monitor the status and latency of their workflows and receive proactive alerts about potential issues.
• Write a blog post to share something interesting we learned with the community.

Is this role right for you?

• Roughly 7+ years as a professional software engineer. Proven track record of success as a senior software engineer. This is a senior role and we’re looking for candidates with a well of experience to draw from.
• You’ll need direct experience of building and delivering software using a high-level programming language. Our interview process includes a Byteboard exercise which involves adding features to a small command-line app, so you should feel very comfortable working at that level of technical complexity. You can use a language you’re comfortable with to complete the coding section.
• Your abilities matter, not your education or exactly where you’ve worked. We just need you to show us that you have accumulated the foundational skills and knowledge needed to succeed. Our main languages are Ruby and TypeScript, but you don’t have to be familiar with those - we value curiosity and an eagerness to learn. We’ll also cover the cost of education material to bring you up to speed.
• Cybersecurity knowledge isn’t required. We take application security seriously, but for this role you don’t need any experience in that area.
• This role is broad, not specialized. While your main focus will be on our backend job and event processing system, you’ll work right across our stack. You don’t need to have experience in all of these areas, but you will need to be excited to pitch in anywhere when needed, with the support of your teammates. This allows us to be more effective as a team, and provides a lot of opportunities for you to learn.
• We’re focused on the most important problems, not the most interesting ones. Your time and energy are limited, so in order to succeed you’ll need to spend it where it will make a difference. We view technologies as a means to an end, and stick to simple, common tools - Ruby, Rails, React, TypeScript, Postgres, Redis, AWS CDK, and Docker. 
• We work healthily and sustainably. We work reasonable hours, we take our holidays and we plan our workloads realistically. No matter how excited we get by a project, it’s more important to not get burnt out from overwork.
• Your contributions will be obvious. On a small team like ours, you don’t have to spend a tonne of time and energy making sure your work is seen - your impact will be clear to everyone.
• We’re building an inclusive, supportive team. We have a wonderfully wide spectrum of colleagues at Tines, and we treat them all with kindness and respect - we expect that you will too. We don’t hire people that treat their colleagues badly, no matter how talented they are.
• We’re bringing programming to everyone. As software engineers, we can appreciate the power of using software to automate manual work. In our team, we get to use our knowledge to help bring this power to our customers, without them having to learn how to code.