We are seeking an experienced Staff Platform Engineer / Software Engineer who will serve as a technical leader with dozens of engineering teams. You are someone who enjoys bridging the gap between software engineering and systems architecture, and not just managing infra, but building Internal Developer Platform (IDP) on Kubernetes, and APIs that enable scalability, efficiency, productivity, and developer joy. You are a "doer" who can pivot from writing high-quality production code to influencing the architectural direction of our CI/CD pipelines and service catalogs (e.g., Backstage), as well as be the next frontier of Generative AI integration.

Our Developer Experience (DevEx) organization’s mission is to partner with SentinelOne engineering teams to accelerate the velocity of software delivery through continuous innovation and standardization. We are building a platform that serves nearly 1,000 engineers to release services and features to our customers, making it easy to move from POC to production safely and quickly. We're also transforming our CI/CD from a traditional pipeline into an AI-driven engine - you will help us build a platform where AI proactively helps developers write & ship code, generates high-coverage test suites on the fly, and performs the first pass of PR reviews with human-level context. 

What Will You Do?

• Partner with Engineers, Build & Automate: The engineering teams are our primary customers - you will be working with them to understand their pain points and find long term solutions.
  • You will be building the IDP as the "Golden Path", and tools that improve the quality of life and streamlining the development process for the teams, so that they can build without having to worry about the underlying infrastructure.
  • You will be also building scalable solutions in collaboration with other infrastructure teams.
• Modernize the Stack: Collaborate with architects to evaluate and implement modern tools (e.g., ArgoCD, GitHub Actions) and deployment strategies (Canary, Blue/Green).
• Lead the AI-Driven CI/CD Shift: Architect and implement AI-powered workflows that assist in code generation, automated testing, and intelligent PR analysis to eliminate developer friction.
• Operational Ownership: Identify causes of toil across engineering orgs and eliminate them through automation, enhancing overall system reliability and developer satisfaction.
• Cross-Functional Influence: Partner with Product, Security, and Finance teams to align technical roadmaps with business value and customer needs. You will influence strategy and ensure our platform is as lean as it is powerful.
• Impact: You will participate in the full software development lifecycle, including requirements analysis, architecture design, coding, testing, and deployment.
• Deal with global scale: Our security SW products protect 15,000 enterprise and government clients across the globe, incl. 4 of Fortune 10, and process 9+ Petabytes of data daily and 3+ Trillion security events across multiple AWS/GCP regions and GovCloud, supported by a large Kubernetes control plane with 80+clusters and tens of thousands of nodes.

Our stack: Go, Python; Kubernetes, Docker, AWS, GCP, FedRAMP; GitHub Actions, ArgoCD; GitHub Enterprise; depending on the requirements of the service for communication, we use Kafka, REST API, GraphQL, gRPC, etc.; Postgres, MongoDB, Redis, ClickHouse; Prometheus/Thanos, Grafana

What Skills and Knowledge Will You Bring?

• Demonstrated proficiency in Go or Python. Experience in the full SDLC, from requirements to production-ready code
• Experience with AWS and/or GCP. Knowledge of Kubernetes or similar orchestration systems
• Experience with CI/CD tooling at scale (e.g., GitHub Actions, ArgoCD, Jenkins etc.) and GitOps approach
• Strong experience with Terraform, Pulumi, or similar IaC frameworks
• Familiarity with DevEx fundamentals, including Service Catalogs (Backstage), REST APIs, or gRPC
• Familiarity with both SQL (Postgres) and NoSQL (MongoDB, ClickHouse, or Redis)
• You are passionate about (and ideally have experience in) integrating LLMs and AI agents into the developer workflow to drive productivity
• Excellent problem-solving skills, strong ownership and accountability, with proven experience driving large, impactful projects
• Strong communication skills and ability to articulate technical concepts and influence engineering direction across teams, departments, and stakeholders in multiple time zones

Why SentinelOne?

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:

• Salary starting from 5000 EUR/month. Annual bonus based on company performance, paid in two installments. The final base salary may be adjusted based on the individual skills and experience of the selected candidate.
• Enjoy flexible working hours and the option to work remotely from anywhere in Slovakia. We offer access to major co-working spaces for those who prefer an office environment. In Czechia, you can also work from our modern offices in Prague or Brno.
• Stock & Bonuses: Grant of Restricted Stock Units with a 4-year vesting plan, annual performance-based bonuses, and an employee stock purchase plan.
• Time Off & Well-being: Flexible Time Off, on top of the standard 5 weeks vacation, flexible paid sick days, fully paid Short Term Sick/Nursing Leave, 16-week parental leave, grandparent leave, and additional company holidays.
• Insurance & Wellbeing: Pension Insurance Contribution, Premium life insurance, Paid Multisport Benefit Card and a Global Employee Assistance Program.
• Work Perks: Monthly meal and well-being allowance, high-end MacBook/Windows laptop, work-from-home support, and Multisport card paid by SentinelOne.
• Growth & Community: LinkedIn Learning, internal mentoring, educational support, generous referral bonuses, and optional company events (sports, BBQs, charity).

Be part of an inclusive, innovative workplace that values belonging, flexibility, and growth!

We are seeking an experienced Staff Software Engineer / Platform Engineer who will serve as a technical leader with dozens of engineering teams. You are someone who enjoys bridging the gap between software engineering and systems architecture, and not just managing infra, but building Internal Developer Platform (IDP) on Kubernetes, and APIs that enable scalability, efficiency, productivity, and developer joy. You are a "doer" who can pivot from writing high-quality production code to influencing the architectural direction of our CI/CD pipelines and service catalogs (e.g., Backstage), as well as be the next frontier of Generative AI integration.

Our Developer Experience (DevEx) organization’s mission is to partner with SentinelOne engineering teams to accelerate the velocity of software delivery through continuous innovation and standardization. We are building a platform that serves nearly 1,000 engineers to release services and features to our customers, making it easy to move from POC to production safely and quickly. We're also transforming our CI/CD from a traditional pipeline into an AI-driven engine - you will help us build a platform where AI proactively helps developers write & ship code, generates high-coverage test suites on the fly, and performs the first pass of PR reviews with human-level context. 

What Will You Do?

• Partner with Engineers, Build & Automate: The engineering teams are our primary customers - you will be working with them to understand their pain points and find long term solutions.
  • You will be building the IDP as the "Golden Path", and tools that improve the quality of life and streamlining the development process for the teams, so that they can build without having to worry about the underlying infrastructure.
  • You will be also building scalable solutions in collaboration with other infrastructure teams.
• Modernize the Stack: Collaborate with architects to evaluate and implement modern tools (e.g., ArgoCD, GitHub Actions) and deployment strategies (Canary, Blue/Green).
• Lead the AI-Driven CI/CD Shift: Architect and implement AI-powered workflows that assist in code generation, automated testing, and intelligent PR analysis to eliminate developer friction.
• Operational Ownership: Identify causes of toil across engineering orgs and eliminate them through automation, enhancing overall system reliability and developer satisfaction.
• Cross-Functional Influence: Partner with Product, Security, and Finance teams to align technical roadmaps with business value and customer needs. You will influence strategy and ensure our platform is as lean as it is powerful.
• Impact: You will participate in the full software development lifecycle, including requirements analysis, architecture design, coding, testing, and deployment.
• Deal with global scale: Our security SW products protect 15,000 enterprise and government clients across the globe, incl. 4 of Fortune 10, and process 9+ Petabytes of data daily and 3+ Trillion security events across multiple AWS/GCP regions and GovCloud, supported by a large Kubernetes control plane with 80+clusters and tens of thousands of nodes.

Our stack: Go, Python; Kubernetes, Docker, AWS, GCP, FedRAMP; GitHub Actions, ArgoCD; GitHub Enterprise; depending on the requirements of the service for communication, we use Kafka, REST API, GraphQL, gRPC, etc.; Postgres, MongoDB, Redis, ClickHouse; Prometheus/Thanos, Grafana

What Skills and Knowledge Will You Bring?

• Demonstrated proficiency in Go or Python. Experience in the full SDLC, from requirements to production-ready code
• Experience with AWS and/or GCP. Knowledge of Kubernetes or similar orchestration systems
• Experience with CI/CD tooling at scale (e.g., GitHub Actions, ArgoCD, Jenkins etc.) and GitOps approach
• Strong experience with Terraform, Pulumi, or similar IaC frameworks
• Familiarity with DevEx fundamentals, including Service Catalogs (Backstage), REST APIs, or gRPC
• Familiarity with both SQL (Postgres) and NoSQL (MongoDB, ClickHouse, or Redis)
• You are passionate about (and ideally have experience in) integrating LLMs and AI agents into the developer workflow to drive productivity
• Excellent problem-solving skills, strong ownership and accountability, with proven experience driving large, impactful projects
• Strong communication skills and ability to articulate technical concepts and influence engineering direction across teams, departments, and stakeholders in multiple time zones

Why SentinelOne?

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:

• Salary starting from 5000 EUR/month. Annual bonus based on company performance, paid in two installments. The final base salary may be adjusted based on the individual skills and experience of the selected candidate.
• Enjoy flexible working hours and the option to work remotely from anywhere in Slovakia. We offer access to major co-working spaces for those who prefer an office environment. In Czechia, you can also work from our modern offices in Prague or Brno.
• Stock & Bonuses: Grant of Restricted Stock Units with a 4-year vesting plan, annual performance-based bonuses, and an employee stock purchase plan.
• Time Off & Well-being: Flexible Time Off, on top of the standard 5 weeks vacation, flexible paid sick days, fully paid Short Term Sick/Nursing Leave, 16-week parental leave, grandparent leave, and additional company holidays.
• Insurance & Wellbeing: Pension Insurance Contribution, Premium life insurance, Paid Multisport Benefit Card and a Global Employee Assistance Program.
• Work Perks: Monthly meal and well-being allowance, high-end MacBook/Windows laptop, work-from-home support, and Multisport card paid by SentinelOne.
• Growth & Community: LinkedIn Learning, internal mentoring, educational support, generous referral bonuses, and optional company events (sports, BBQs, charity).

Be part of an inclusive, innovative workplace that values belonging, flexibility, and growth!

Why Cast AI?

Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.

The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.

Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.

Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. 

Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.

Join us as we build the future of autonomous infrastructure.

This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, and Ukraine.

About the role

You'll join one of several teams building the low-level systems behind CAST AI's multi-cloud automation platform. The work sits at the intersection of Kubernetes, cloud infrastructure, and Linux.

Depending on your strengths, you'll work in one of these areas:

• Cluster and node lifecycle - custom node bootstrapping across AWS, GCP, and Azure. Controllers and operators managing full node lifecycle. Bridging the gap between autoscaler decisions and running VMs - including working around limitations of managed Kubernetes platforms like EKS, GKE, and AKS.
• Cross-cloud provisioning - orchestrating infrastructure across regions and clouds. Workflow orchestration, provisioning integrations, networking and identity across cloud boundaries.
• Live container migration - zero-downtime relocation of running containers using CRIU checkpoint/restore, custom CRI-O and runc forks, and forked cloud CNI plugins. Memory page transfer, TCP session migration, process-level checkpoint/restore. Kernel-level Linux engineering applied to Kubernetes.
• Storage optimization - dynamic volume rightsizing, BtrFS compression, custom CSI drivers. Full storage stack from cloud disk APIs through filesystem internals to Kubernetes PV/PVC lifecycle.

Common across all teams: Go, deep Kubernetes, multi-cloud, building beyond what the ecosystem offers.

How we build

We invest heavily in agentic development and AI-powered tooling. Engineers work with code agents and automated workflows daily. We expect you to shape how these tools evolve.

Requirements:

• Strong backend fundamentals and production-grade coding, preferably Go.
• Hands-on Kubernetes internals, cloud infrastructure, or large-scale distributed systems experience.
• Clear English communication, collaborative and self-directed.
• Bias toward action and ownership.

What would make you stand out

• Deep knowledge of EKS, GKE, or AKS internals.
• Low-level Linux experience: process internals, networking (NAT, iptables, conntrack, SDN), filesystems, storage.
• Kubernetes or cloud-native OSS contributions.
• Cloud storage depth - block storage, CSI, volume management, filesystem internals.
• Container runtime experience (CRI-O, runc, containerd) or CRIU.
• Experience with AI coding agents and agentic development workflows.
• Comfort building where there's no playbook.

Responsibilities:

• Design, build, and operate backend services, Kubernetes operators, and controllers in Go across AWS, GCP, and Azure.
• Solve infrastructure-layer problems — networking, scheduling, storage, compute, or container runtime internals.
• Build and maintain high-throughput services (gRPC/REST) and async orchestration workflows.
• Shape public and internal APIs.
• Leverage and improve AI-powered development workflows.
• Participate in design reviews, code reviews, on-call, and customer deep-dives.

What’s in it for you?

• Competitive salary (€6,500 - €9,000 gross, depending on the level of experience)
• Enjoy a flexible, remote-first global environment.
• Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
• Equity options.
• Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
• Spend 10% of your work time on personal projects or self-improvement. 
• Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
• Annual hackathon to spark new ideas and strengthen team bonds.
• Team-building budget and company events to connect with your colleagues.
• Equipment budget to ensure you have everything you need.
• Extra days off to help maintain a healthy work-life balance.

Hiring process

• Screening call with Recruiter
• Hiring Manager interview
• Technical interview (system design)
• Live coding
• Culture Check interview with an executive

*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI does not provide any form of visa sponsorship/work permit.

#LI-Remote

Become a Senior SRE for Bloomreach!

Join the newly form Datacraft team — the team building the next-generation data platform for Bloomreach Engagement. Datacraft owns three interconnected domains:

• Data Warehouses (~60%) — making Bloomreach data first-class in customer DWHs (Snowflake, BigQuery, Databricks). The strategic goal for 2026–27 is to use DWHs to exponentially accelerate data adoption.
• Loomi Analytics Agent (~20%) — evolving Loomi Analytics into an agentic analytics assistant that can explore data across systems, explain insights, and act on them.
• Dashboards & Analytics Stack (~20%) — moving Engagement reporting onto DWH-backed, modern analytics stacks (semantic layers, headless BI tools).

As a Senior SRE, you will be the reliability backbone of this AI-first data team. Your work will directly impact the deployments, pipelines, reliability, and observability of pipelines and services that hundreds of enterprise customers depend on — from data exports into Databricks and BigQuery, to the  AI agent Loomi uses to surface insights.

Datacraft is an AI-first team. We believe code is a commodity and expect every engineer to fluently use coding agents (e.g., Cursor, Claude Code, Copilot, Gemini CLI) as a core part of their daily workflow. The ability to leverage AI tooling to accelerate development, prototyping, and problem-solving is not optional — it's foundational. 

For candidates at the P3 / Senior SRE level, starting monthly compensation begins at 3 800 € gross, with the final offer tailored for each candidate based on their skills and experience. Stock options and a comprehensive benefits package are also included. Working in one of our Central European offices (Bratislava, Praha, Brno) or from home on a full-time basis, you'll become a core part of the Engineering team.

What challenge awaits you?

As a P3 (Senior) SRE at Bloomreach, you are an independent professional — expert in reliability engineering, able to decompose objectives into actionable infrastructure improvements, and lead initiatives end-to-end with minimal day-to-day guidance.

We need you to build and operate an ecosystem where data engineers can safely and efficiently develop, debug, and operate data-intensive jobs and services — spanning Kafka ingest pipelines, Iceberg data lakes, multi-DWH exports, Databricks deployment and orchestration (Airflow / Cloud Composer), and agentic AI workloads.

Your responsibilities

a. Platform reliability & observability

• Build and maintain the reliability ecosystem where engineers can safely develop, debug, and operate DataCraft services running on GCP and Kubernetes (DataProc, Cloud Composer, BigQuery, Snowflake/Databricks connectors).
• Ensure end-to-end observability across the full data platform — from Kafka ingest through GCS/Iceberg staging, Airflow orchestration, to Databricks and BigQuery destinations — enabling the team to catch missing loads, SLA breaches, and data drifts before customers notice, or costs drift.
• Drive scalability so services can scale vertically and horizontally based on operational and telemetric data (OpenTelemetry, Prometheus, Victoria Metrics).
• Maintain team health dashboards and alerting (Grafana, PagerDuty, Sentry).

b. Infrastructure as Code & deployments

• Own and evolve Terraform-based infrastructure for DataCraft services.
• Automate deployments, instance setup, and operational runbooks to eliminate manual/semi-manual steps.
• Maintain CI/CD pipelines (GitLab) with linters, security scans, and code quality checks, AI code reviews, enabling engineers to produce high-quality MRs.

c. Security & compliance

• Help the team fulfill security requirements for ISO and SOC2 audits by enforcing security principles: key distribution, key rotation, authorization & authentication at the service level, data encryption in transit, data isolation, resource limitations, and audit logs.
• Ensure data access controls are properly enforced across multi-DWH environments (BigQuery, Snowflake, Databricks).

d. Incident management & L3 support

• Participate in and drive L3 on-call rotation and incident resolution for DataCraft services.
• Contribute tooling for debugging, troubleshooting, and performance testing of data pipelines and orchestration layers.
• Use telemetry data and distributed tracing to navigate complex, distributed service architectures.

e. Agentic platform reliability

• Ensure reliability and observability of the Loomi Analytics Agent data infrastructure — LLM API gateway performance, MCP server health, and evaluation pipeline availability.
• Monitor and alert on data quality issues that could introduce inconsistencies or hallucinations in Loomi's responses — making the agent's data access patterns reliable and debuggable.

Our tech stack

Languages: Python (primary), Go, SQL Messaging & streaming: Apache Kafka Storage & databases: Databricks, BigQuery, Apache Iceberg, GCS, Mongo, Redis Data processing & orchestration: Apache Spark, DataFlow, Airflow / Cloud Composer Infrastructure: GCP, Kubernetes, Terraform AI / Agentic: LLM APIs, MCP, agent orchestration frameworks Observability: Grafana, Prometheus, Victoria Metrics, PagerDuty, Sentry, OpenTelemetry CI/CD & tooling: GitLab, Jira, Confluence AI coding agents: Cursor, Claude Code

Your qualifications

Professional experience

Impact

• You can articulate how your contributions transformed the way engineers work and fostered a strong SRE/DevOps culture.
• You can demonstrate how impactful reliability work connects to business success and customer outcomes.

Ownership

• You embrace the you build it, you run it principle — you love owning what you ship.
• You are cost-aware: effective vertical and horizontal autoscaling and detailed telemetry insights are how you demonstrate mindfulness of cloud spend.

Systematic approach

• Infrastructure as Code is the only thing that brings stability into chaos
• You design for failure: SLOs, error budgets, and runbooks are first-class artifacts, not afterthoughts.

Data-driven

• You use telemetry and metrics to give engineers actionable feedback on how applications and services behave.
• You can navigate complex data platform architectures using distributed tracing and debugging.

Technical skills

• Solid hands-on experience with GCP (BigQuery, DataProc, Cloud Composer, GCS) and Kubernetes.
• Experience with Python; Go is a strong advantage.
• Familiarity with data pipeline technologies (Kafka, Airflow/Cloud Composer, Spark, Iceberg) — you don't need to write ETL code, but you need to operate it reliably and know when something is wrong.
• Fluent use of AI coding agents (Cursor, Claude Code, Copilot, Gemini CLI, or similar) — you already use these tools daily to accelerate work.
• Comfortable with on-call rotation and 24/7 incident response.
• Remote-first mindset — you know how to be effective in distributed teams.
• You are able to learn and adapt — essential when exploring new tech or navigating our growing codebase.

Strongly preferred

• Experience operating single-DWH environments (Snowflak, Databricks or BigQuery).
• Familiarity with agentic/LLM workloads — API reliability, latency SLOs, trace observability for AI systems.
• Experience with open table formats (Iceberg, Delta Lake) in production environments.
• Exposure to data security and compliance in the context of customer-facing DWH integrations (consent, data retention, PII handling).

Personal qualities

• Ownership & accountability — you take issues from detection through to resolution and follow-up prevention.
• Systematic thinking — you identify root causes, not symptoms, and document your findings so the team learns.
• Collaboration & communication — you explain trade-offs and constraints clearly to both engineers and non-engineers.
• Bias for reliability — operational excellence (SLOs, oncall friendliness, proactive alerting) is not a chore, it's your craft.
• Continuous improvement mindset — you are comfortable iterating, revisiting assumptions, and improving incrementally.
• Comfortable operating remote-first in a distributed team across Central Europe.

Your success story

In 30 days:

• Get to know the DataCraft team, the company, and the most important processes.
• Set up your local and GCP development environment and complete the Engagement engineering onboarding.
• Understand the current state of DataCraft services: pipelines, orchestration, observability gaps, and on-call runbooks.

In 90 days:

• Start contributing to the L3 on-call rotation, handling incidents, troubleshooting, and debugging — which will sharpen your understanding of the platform and surface fresh improvement ideas.
• Deliver your first meaningful reliability improvement: an observability enhancement, a deployment automation, or an SLO definition for a key DataCraft service.

In 180 days:

• Own the reliability posture of at least one DataCraft domain end-to-end — able to independently design, operate, and continuously improve it.
• Drive measurable improvements in MTTR, alert signal-to-noise ratio, or deployment confidence across the team.
• Be a trusted reliability partner in architecture discussions — your input shapes how new DataCraft services are designed for operability from day one.

#LI-KP1

Help us evolve and scale the Bloomreach Engagement UI design system and become our new UI Developer. Implement new designs, and create and maintain UI components used across our product. You’ll sit at the intersection of design, engineering, and product, turning ideas into intuitive, robust, and beautiful interfaces. For candidates at the P3 / Senior level, starting monthly compensation begins at 3 500 € gross, with the final offer tailored for each candidate based on their skills and experience. Stock options and a comprehensive benefits package are also included. Working in one of our Central European offices (Bratislava, Brno, Prague) or from home on a full-time basis, you’ll become a core part of our Frontend Team. 

What tech stack do we use?

• Our styles are written in Sass (SCSS).
• Our Engagement app currently runs on Angular.
• We use JavaScript/TypeScript for application logic.
• We use Git for version control.
• Our build process uses Nx + Angular CLI, with custom ts-node and Node scripts.

You don’t need to be an expert in every framework from day one, but you should be comfortable working in at least one modern SPA framework (Angular, React, or Vue) and curious to learn the others.

What challenge awaits you?

As a Bloomreach UI Developer, you will be the go‑to person for:

• Designing and implementing UI components and patterns that are reused across the Engagement app.
• Evolving our in‑house UI framework and design system so that it’s easier and faster for product and engineering teams to build consistent experiences.
• Collaborating tightly with product designers to bring new ideas to life and to keep our visual language coherent.
• Bringing a CSS architecture mindset to a large codebase so styles remain modular, predictable, and easy to refactor over time.
• Leveraging AI in your daily work — from code generation and refactoring suggestions to documentation and quick UI experiments.

Our goal is to make our Engagement app easy to use and visually pleasant for our customers. You’ll operate on three levels: bug fixing, maintenance and creation of UI components, and implementation of new designs — with a strong focus on the design‑system layer and product outcomes. Having a great developer experience is also something we’re serious about.

Your job will be to:

1. Expand & maintain our UI design system and components library
2. Improve & maintain our in‑house SCSS framework
3. Implement new designs and product experiences

a. Expand & maintain our UI design system and components library

• Understand how our components work under the hood and enable frontend developers to build advanced interfaces using our framework.
• Design and implement reusable UI primitives (tokens, layout primitives, form controls) and higher‑level components in a way that can be applied across Angular applications.
• Revise code of the components frequently and keep up with the latest possibilities of CSS (e.g. container queries, cascade layers, new color functions) and how they affect our architecture.
• Ensure cross‑browser compatibility (modern browsers only) and good accessibility practices.
• Shape visual representation and behavior together with designers, acting as a technical partner in design reviews.
• Maintain and improve our internal “Showcase”/component gallery as a single source of truth for our design system (documentation, usage examples).

b. Improve & maintain our in‑house SCSS framework

• Extend and update core functions, mixins, and utilities that help us write styles efficiently and keep them easy to reason about.
• Evolve our CSS architecture (e.g. layers, naming conventions, design tokens, theming approach) to keep the system scalable as the product grows.
• Identify and remove legacy styles, dead code, and inconsistencies, focusing on performance and maintainability.
• Use AI‑powered tooling where it makes sense (code search, refactor suggestions, documentation summaries) to speed up this work.

c. Implement new designs and product experiences

• Update existing screens to match the latest design specs and interaction patterns.
• Research the best strategies for comprehensive changes — understanding how components are reused across screens and in different contexts — and propose pragmatic rollout plans.
• Work closely with product managers and designers to make trade‑offs that balance UX quality, technical feasibility, and delivery timelines.
• Ensure that visual and structural changes don’t introduce any bugs — partnering with QA and using tools (including AI‑assisted testing where appropriate) to catch regressions early.

Your success story will be:

• In 30 days, you will learn how our methodology works, ship your first UI bug fixes, and start contributing to small improvements in our design system.
• In 90 days, you will understand how our core components and SCSS framework work, co‑own at least one part of the design system, and support other frontend developers on a sprint project — including reviewing their usage of UI components and any styling or template changes.
• In 180 days, you will be able to tackle most tasks on your own, question and challenge designs with confidence, propose and drive improvements to our UI architecture, and help shape the future roadmap of our design system.

You have the following experience and qualities:

1. Professional — CSS, Sass, working with browser,  programming skills, Git, knowledge of Angular (optionally React or Vue), familiarity with web components is an advantage.
2. Personal — team player, honesty, responsibility, motivation

Professional experience

• Strong CSS and Sass skills — CSS will be your bread and butter and for a smooth experience it’s good if you know: selector types and specificity, fonts, relative units, box sizing, positioning, flexbox, grid, responsiveness, pseudo elements, animations, and their performance impacts.
• Experience with writing maintainable, modular, component‑based CSS
• Experience building or significantly contributing to a design system or UI component library (tokens, components, documentation, versioning, rollout).
• Comfortable with intermediate programming in JavaScript or TypeScript — structuring code, working with asynchronous logic, and debugging — and using that knowledge to implement or adjust UI behavior in Angular/React/Vue components.
• Hands‑on experience with at least one modern frontend framework (Angular, React, or Vue). Curiosity to apply design‑system thinking across frameworks is a plus.
• Familiarity with Git and standard workflows (branching, pull/merge requests, code review).
• A genuine passion for modern CSS and web UI, keeping an eye on new specs and browser capabilities and knowing when (and when not) to use them.
• An architecture mindset when it comes to stylesheets: you think in layers, dependencies, and long‑term maintainability, not just “what works right now”.
• Openness to leveraging AI in the development process — for example, using AI tools to explore refactoring options, generate variants, or support documentation — while still owning the final quality of the solution.

Personal qualities

• Product‑oriented mindset: you care about the problem we’re solving and the impact on the user, not only the implementation details.
• Ability to work in a team where we value diversity and open‑mindedness.
• Willingness to discuss problems honestly, keep focus on what’s important, and look for outcomes, not blame.
• Sense of ownership and responsibility — you follow through on what you start and care about the quality of your work in production.
• Motivation to grow: you enjoy your craft, seek feedback, and look for ways to improve both the product and the system you’re building on.

Excited? Join us and transform the future of commerce experiences.

#LI-KP1

Help us evolve and scale the Bloomreach Engagement UI design system and become our new UI Developer. Implement new designs, and create and maintain UI components used across our product. You’ll sit at the intersection of design, engineering, and product, turning ideas into intuitive, robust, and beautiful interfaces. Working in one of our Central European offices (Bratislava, Brno, Prague) or from home on a full-time basis, you’ll become a core part of our Frontend Team. 

What tech stack do we use?

• Our styles are written in Sass (SCSS).
• Our Engagement app currently runs on Angular.
• We use JavaScript/TypeScript for application logic.
• We use Git for version control.
• Our build process uses Nx + Angular CLI, with custom ts-node and Node scripts.

You don’t need to be an expert in every framework from day one, but you should be comfortable working in at least one modern SPA framework (Angular, React, or Vue) and curious to learn the others.

What challenge awaits you?

As a Bloomreach UI Developer, you will be the go‑to person for:

• Designing and implementing UI components and patterns that are reused across the Engagement app.
• Evolving our in‑house UI framework and design system so that it’s easier and faster for product and engineering teams to build consistent experiences.
• Collaborating tightly with product designers to bring new ideas to life and to keep our visual language coherent.
• Bringing a CSS architecture mindset to a large codebase so styles remain modular, predictable, and easy to refactor over time.
• Leveraging AI in your daily work — from code generation and refactoring suggestions to documentation and quick UI experiments.

Our goal is to make our Engagement app easy to use and visually pleasant for our customers. You’ll operate on three levels: bug fixing, maintenance and creation of UI components, and implementation of new designs — with a strong focus on the design‑system layer and product outcomes. Having a great developer experience is also something we’re serious about.

Your job will be to:

1. Expand & maintain our UI design system and components library
2. Improve & maintain our in‑house SCSS framework
3. Implement new designs and product experiences

a. Expand & maintain our UI design system and components library

• Understand how our components work under the hood and enable frontend developers to build advanced interfaces using our framework.
• Design and implement reusable UI primitives (tokens, layout primitives, form controls) and higher‑level components in a way that can be applied across Angular applications.
• Revise code of the components frequently and keep up with the latest possibilities of CSS (e.g. container queries, cascade layers, new color functions) and how they affect our architecture.
• Ensure cross‑browser compatibility (modern browsers only) and good accessibility practices.
• Shape visual representation and behavior together with designers, acting as a technical partner in design reviews.
• Maintain and improve our internal “Showcase”/component gallery as a single source of truth for our design system (documentation, usage examples).

b. Improve & maintain our in‑house SCSS framework

• Extend and update core functions, mixins, and utilities that help us write styles efficiently and keep them easy to reason about.
• Evolve our CSS architecture (e.g. layers, naming conventions, design tokens, theming approach) to keep the system scalable as the product grows.
• Identify and remove legacy styles, dead code, and inconsistencies, focusing on performance and maintainability.
• Use AI‑powered tooling where it makes sense (code search, refactor suggestions, documentation summaries) to speed up this work.

c. Implement new designs and product experiences

• Update existing screens to match the latest design specs and interaction patterns.
• Research the best strategies for comprehensive changes — understanding how components are reused across screens and in different contexts — and propose pragmatic rollout plans.
• Work closely with product managers and designers to make trade‑offs that balance UX quality, technical feasibility, and delivery timelines.
• Ensure that visual and structural changes don’t introduce any bugs — partnering with QA and using tools (including AI‑assisted testing where appropriate) to catch regressions early.

Your success story will be:

• In 30 days, you will learn how our methodology works, ship your first UI bug fixes, and start contributing to small improvements in our design system.
• In 90 days, you will understand how our core components and SCSS framework work, co‑own at least one part of the design system, and support other frontend developers on a sprint project — including reviewing their usage of UI components and any styling or template changes.
• In 180 days, you will be able to tackle most tasks on your own, question and challenge designs with confidence, propose and drive improvements to our UI architecture, and help shape the future roadmap of our design system.

You have the following experience and qualities:

1. Professional — CSS, Sass, working with browser,  programming skills, Git, knowledge of Angular (optionally React or Vue), familiarity with web components is an advantage.
2. Personal — team player, honesty, responsibility, motivation

Professional experience

• Strong CSS and Sass skills — CSS will be your bread and butter and for a smooth experience it’s good if you know: selector types and specificity, fonts, relative units, box sizing, positioning, flexbox, grid, responsiveness, pseudo elements, animations, and their performance impacts.
• Experience with writing maintainable, modular, component‑based CSS
• Experience building or significantly contributing to a design system or UI component library (tokens, components, documentation, versioning, rollout).
• Comfortable with intermediate programming in JavaScript or TypeScript — structuring code, working with asynchronous logic, and debugging — and using that knowledge to implement or adjust UI behavior in Angular/React/Vue components.
• Hands‑on experience with at least one modern frontend framework (Angular, React, or Vue). Curiosity to apply design‑system thinking across frameworks is a plus.
• Familiarity with Git and standard workflows (branching, pull/merge requests, code review).
• A genuine passion for modern CSS and web UI, keeping an eye on new specs and browser capabilities and knowing when (and when not) to use them.
• An architecture mindset when it comes to stylesheets: you think in layers, dependencies, and long‑term maintainability, not just “what works right now”.
• Openness to leveraging AI in the development process — for example, using AI tools to explore refactoring options, generate variants, or support documentation — while still owning the final quality of the solution.

Personal qualities

• Product‑oriented mindset: you care about the problem we’re solving and the impact on the user, not only the implementation details.
• Ability to work in a team where we value diversity and open‑mindedness.
• Willingness to discuss problems honestly, keep focus on what’s important, and look for outcomes, not blame.
• Sense of ownership and responsibility — you follow through on what you start and care about the quality of your work in production.
• Motivation to grow: you enjoy your craft, seek feedback, and look for ways to improve both the product and the system you’re building on.

Excited? Join us and transform the future of commerce experiences.

#LI-KP1

We want you to join us full-time as a Staff Backend Engineer. You will work remotely first (from Central & Eastern Europe), but we are more than happy to meet you in our nice offices in Bratislava, Brno or Prague. For candidates at the P4 / Staff Software Engineer level, starting monthly compensation begins at 4 400 € gross, with the final offer tailored for each candidate based on their skills and experience. Stock options and a comprehensive benefits package are also included.

The Pulsar team builds platform and admin services that all Bloomreach SaaS products rely on. In your first year, you’ll develop features used by thousands of customers and deliver fast, consistent, and high-energy (but low-drama) product releases. We all work remotely from the US, India, and Europe.

Examples of our services:  

• Central services to publish Model Context Protocol APIs for external AI agents
• Multi-product customer provisioning and licensing orchestration
• Integrated user management, authentication, and authorization
• High-availability, centralized configuration management
• Tools for new customer integration & product tuning

Why you’ll love your work

• Technical Variety: Cloud-native services with diverse tech stacks offer learning and experimentation.
• Impact: Our services are used by customers and teams across the company – engineers, product managers, services consultants, and even executives.
• Autonomy: Senior engineers design, build, and deploy complete projects and are experts in our services.
• Teamwork: Your teammates are also high performers and will support you with learning our systems, brainstorming & design review, and running high-reliability production deployments.

Your typical day

Your day begins with review of a teammate’s GitLab merge request. It has already been reviewed by Claude, but you’ll think deeply about the business problem, alternative solutions, and future needs. 

Then you spend a few undisturbed hours “in the flow,” working on a technical design doc for a new project. Once you’ve completed a draft, you send it to another teammate for feedback, then decide to jump on a Zoom call to talk it over and refine it.

After lunch, you join the team for a quick standup via Zoom to discuss current work and the plan for the next few days. You mention that you’re finishing up a small improvement to improve the logging and alerting for one of our components that requires high uptime. A teammate offers to review your changes. It has some complex behavior, so you walk through it together and make a few improvements.

Soon, the new unit tests are green. With a few keystrokes, you create a merge request, spin up a dev instance, and deploy your change. After some quick smoke tests, you and your teammate decide to merge the change. Your improvement will be deployed in production with the release in a few days.

Next, you respond to a Slack request for advice on integrating with the authorization API. You draft a short tech design doc that links the API spec, code examples, and optimization tips. You discuss it on the team channel, and your manager forwards it to another team that’s also starting a new service.

Your day ends with a chat with a product manager about questions that came up while drafting the tech design. With their feedback, you refine the proposal to deliver the core feature more quickly, while the product manager will work with customers and decide how much more to invest. Tomorrow, you’ll break down the tasks in Jira and decide what you’ll complete yourself and what you’ll ask teammates to complete….

Our tech stack(s)

• Languages & Frameworks: Java / Spring, Python, Go – occasionally TypeScript, Angular, React
• Data: Postgres, MySQL, MongoDB, Redis, Kafka
• Cloud: AWS & GCP (RDS, Redshift, Pub/Sub, BigTable, DataFlow, etc), Docker & Kubernetes (via EKS & GKE)
• Tools: Jira, Gitlab CI/CD, Prometheus, Grafana, OpenSearch

Our expectations

• Flexible intelligence: Stretch your technical skills in a distributed cloud environment, making changes across systems built with various tech stacks to meet challenging requirements.
• Drive: Rapidly ship product improvements that affect thousands of users in a low-drama and high-trust way. 
• Security & Reliability: Balance risks and benefits of change with discipline and agility.
• Communication: Organize technical work and maintain trust/respect across multiple teams, geographic regions, and departments.
• Knowledge Sharing: Proactively share expertise, guide less experienced team members, and document work for long-term sustainability.

The ideal candidate’s experience

• Active user of AI coding tools such as Cursor and Claude Code
• Developed backend services with Python using a variety of data systems (5+ years)
• Understands web security principles (OWASP), Authentication, and Authorization practices
• Designed APIs for a SaaS product
• Operated services in production on public cloud infrastructure
• Some experience with Java / Spring or Go
• Exposure to web frontend development (Angular / React)

#LI-KP1

Are you looking for a cutting-edge tech stack to work with and to make an impact on a daily basis? We are currently forming a team of software engineers dedicated to developing and maintaining Web & Mobile SDKs for our customers, and we are looking for a new colleague to join as a Senior Software Engineer for JS Web SDK & React Native Mobile SDK (Engagement). For candidates at the P3 / Senior Software Engineer level, starting monthly compensation begins at 3700 € gross, with the final offer tailored for each candidate based on their skills and experience. Stock options and a comprehensive benefits package are also included. Working in one of our Central European offices (Brno, Prague, Bratislava) or from home on a full-time basis, you‘ll become a core part of the Engineering Team.

What challenge awaits you?

As a Senior Software Engineer for JS Web SDK & React Native Mobile SDK at our company, you'll encounter exciting, high-end technical challenges. You'll be part of a team that delivers innovative features, enabling our clients to build powerful mobile applications using Web & Mobile SDKs on platforms of their preference (Web: TypeScript, Mobile Natives: Android, iOS, Mobile Wrappers: React Native, Flutter). These SDKs track user behavior and provide capabilities to deliver personalized content. You’ll work on implementing and extending components that provide features like push notifications, in-app messaging, tracking, dynamic rendering, and many more. We will encourage you to explore and engage with various parts of our platform. Your primary focus will be in JavaScript / TypeScript for Web & Mobile React Native SDK Wrapper.

Your job will be to:

1. Design & Deliver new features
2. Ensure quality and compatibility
3. Support and Maintain owned components

a. Design & Deliver new features

• Translate business requirements for product features into detailed technical specifications and comprehensive design documents.
• Define and develop new features with a strong emphasis on quality, usability, and performance.
• Build, publish and monitor new versions of React Native Platform, ensuring seamless adoption.
• Stay updated with the latest industry trends and technologies to incorporate best practices into the development process.

b. Ensure quality and compatibility

• Implement robust testing, and validation processes to ensure the reliability and stability of the new features.
• Measure and tune client-side performance of our features.
• Continuously improve the technical quality and ease of use of Web & React Native SDKs.
• Make sure we utilize all the mobile technologies in the best way - ensuring our Web & React Native SDKs are functional, secure and high performance. 
• Conduct regular code reviews and use static code analysis tools to maintain high code quality.
• Collaborate with QA engineers to develop comprehensive test plans and automated tests. 

c. Support and Maintain owned components

• Provide ongoing support and maintenance for existing features, including troubleshooting issues, fixing bugs, and implementing enhancements.
• Support our client-facing colleagues in the investigation of possible issues (L3 support).
• Document code including guides, configuration instructions, feature descriptions, design decisions, and operational procedures to facilitate ongoing maintenance and knowledge sharing.
• Utilize feedback from users and stakeholders to continually improve the functionality and usability of Mobile SDKs.

What tech stack do we have for you?

• Web JavaScript / TypeScript SDK: JavaScript, TypeScript, HTML/CSS, Mustache, Jest, Karma, Docker
• React Native Wrapper Mobile SDK (Android & iOS): React Native, JavaScript & TypeScript, CocoaPods, Yarn, npm, Babel, Jest
• Common Tech Stack: Software & Tools - Grafana, Sentry, GitHub, GitLab, Jira, Productboard

You will be developing new features and maintaining the codebase to ensure compatibility with different versions. Therefore, you should be passionate about new features in mobile technologies, and be keen to investigate how personalization may work in the context of today's privacy-focused digital world.

Both Web & Mobile SDKs are being integrated with internal APIs written in Golang & Python, which run on top of Kubernetes and Google Cloud. While these won’t be your primary focus, we highly value your involvement in other parts of the platform.

Your success story will be:

• In 30 Days: Successfully onboard, get familiar with Web JavaScript / TypeScript & React Native Mobile SDKs, and contribute to ongoing tasks, demonstrating understanding of the codebase and team processes.
• In 90 Days: Contribute to design discussions and independently deliver high-quality code for assigned features. Participate in investigating and resolving production issues.
• In 180 Days: Independently manage larger tasks, contribute to team improvements, and confidently handle L3 support, investigating and resolving production issues.

You have the following experience and qualities:

1. Professional — Proven experience in web & mobile development, knowledge of wrappers, mobile ecosystem, system design, and maintenance.
2. Personal — Demonstrates strong initiative, ability to work within a team, communication skills, and a commitment to continuous learning and improvement.

Professional experience

• Proven experience in the area of web & mobile development, which is essential for building SDKs for web browsers and React Native mobile applications.
• Overview of technologies and programming languages used for wrapping mobile applications.
• Solid understanding of the mobile development ecosystem. An experience in building libraries or SDKs is an advantage. Familiarity with the build and publishing of mobile applications.
• Experience with dynamic rendering would be a valued asset.
• Experience with version control systems (Git) and CI/CD pipelines. We utilize Git for code management and CI/CD pipelines for efficient development and deployment.

Personal qualities

• Demonstrates strong initiative and a proactive approach to problem-solving.
• Excellent communication and collaboration skills, with the ability to work effectively within a team.
• A genuine passion for learning new technologies and keeping up-to-date with the latest advancements.
• A commitment to delivering high-quality work and a dedication to continuous improvement.

#LI-KP1

How You'll Make an Impact: 

As a Senior DevOps Engineer at Cloudbeds, your goal is to constantly improve and scale our SaaS platform to deliver an exceptional experience to hoteliers and their guests worldwide. You'll own the creation, monitoring, automation, and support of our cloud infrastructure and delivery pipelines — enabling product teams to ship high-quality software with speed and confidence. Working within a bottom-up culture that values healthy debate and collaborative problem-solving, you'll have real influence over architecture decisions and the opportunity to shape how we scale infrastructure for one of the fastest-growing hospitality technology platforms in the world.

Our Infrastructure Team: 

Our Infrastructure team is made up of engineers who take genuine pride in their craft, owning projects end-to-end and holding themselves to a high bar. We're passionate about technology and constantly pushing to improve our stack, not just maintain it. If you thrive in an environment where attention to detail matters, great communication is a given, and you're comfortable challenging the status quo to make things better, you'll feel right at home here.

What You Bring to the Team:

• Architect, improve, and scale Cloudbeds' cloud infrastructure on AWS, with a focus on reliability, security, and performance
• Build and evolve our Kubernetes (EKS) platform, driving adoption of containerization best practices across engineering teams
• Automate infrastructure provisioning and configuration using infrastructure-as-code tools like Terraform
• Design, build, and maintain CI/CD pipelines (GitHub Actions, ArgoCD) that enable fast, reliable software delivery
• Partner with product and engineering teams to drive projects to production, sharing DevOps expertise and ensuring strong environment configuration from the infrastructure side
• Maintain and improve monitoring, logging, and alerting systems to ensure platform health and rapid incident response
• Participate in on-call rotation to support production environment stability.

What Sets You Up for Success:

• 5+ years of experience as a DevOps Engineer working hands-on with AWS (networking, compute, storage, queues, databases, cache, permissions).
• 5+ years of strong Kubernetes and Docker experience, including implementing and scaling EKS platforms at production scale.
• Deep expertise with Terraform for infrastructure-as-code and configuration management.
• Proven experience building and supporting CI/CD pipelines using GitHub Actions and ArgoCD.
• Strong knowledge of monitoring and observability tools such as Datadog, Prometheus, Loki, or AWS CloudWatch.
• Working knowledge of web application servers (NGINX, Ingress controllers), databases (MySQL, PostgreSQL, Aurora), caching (Redis, Memcached), and queue technologies (SQS).
• Ability to write Bash and/or Python scripts to automate operational tasks.
• Strong Linux system administration skills and solid networking fundamentals.
• Excellent written and verbal English communication skills; comfortable working asynchronously across a globally distributed remote team.

#LI-REMOTE #LI-IK1

Bloomreach is seeking a seasoned Senior Machine Learning Engineer to own the design and implementation of cutting-edge AI and GenAI driven algorithmic components for contextual personalization, predictions and behavioral insights that are used to personalize digital experiences for our customers. We are currently allowing flexibility for our employees to work from anywhere for the respective region (Central & Eastern Europe) or we are happy to meet you in our offices in Bratislava (Slovakia) or Brno, Prague (Czechia) on a full-time basis. The salary starts at €4,800 gross per month, along with restricted stock units and other benefits. 

Your Responsibilities:

• Design, develop, and enhance ML/AI models which Predictions, Contextual Personalization and our new agentic workflows
• Process historical data, product catalog and user behaviours to extract hidden relations and features.
• Conduct research to explore ongoing cutting-edge ML techniques and conduct a quick POC.
• Work closely with ML Engineers to integrate and scale ML components to a production-level that can handle terabytes of data.
• Continuously learn and stay up to date with the current state-of-the-art techniques by reading research papers and attending AI/ML conferences.

Qualifications:

• BS/MS degree in Computer Science or a related discipline with a strong mathematical foundation and excellent programming skills (primarily Python)
• At least 3 years of experience building ML-driven fast and scalable ML/analytical algorithms in a corporate/startup environment.
• Strong awareness and understanding of recent trends in Generative AI and LLMs. Experience in working with GenAI stack will be treated as strong credentials.
• Strong understanding of various machine learning and natural language processing technologies, such as classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.
• Excellent exploratory data analysis skills with the ability to slice and dice data at scale using SQL in BigQuery.
• Good problem solving and analytical skills. Ability to learn and adapt to newer ML technologies.
• Exposure to deep learning stack (PyTorch/Keras/TensorFlow) and techniques (Representation/Transfer Learning, RNN/LSTM, Transformers).
• Experience working with Big Data in a cloud based production environment (AWS/GCP/Azure).
• Effective communication skills in English, both verbally and in written form.

#LI-KP1

Are you looking for a cutting-edge tech stack to work with on a daily basis? We are currently expanding our Campaigns team and are looking for a new colleague to join as a Senior Software Engineer.

For candidates at the P3 / Senior Software Engineer level, starting monthly compensation begins at 3700 € gross, with the final offer tailored for each candidate based on their skills and experience. Stock options and a comprehensive benefits package are also included. Working in one of our Central European offices (Bratislava, Brno, Prague) or from home on a full-time basis, you‘ll become a core part of the Engineering Team.

What challenge awaits you?

As a Senior Software Engineer at our company, you'll come face-to-face with exciting, high-end technical challenges. You'll be a part of a team that delivers magical customer experiences through personalized omnichannel marketing campaigns. You’ll work on  implementing new microservices into our architecture, managing high-throughput systems, and enhancing the speed and reliability of our platform. You will utilize cutting-edge AI-powered solutions, such as GenAI and LLMs. 

You'll collaborate closely with other engineering teams and product managers to ensure seamless integration of our campaigns automation features with the rest of our platform, fostering a culture of collaboration and innovation. This role offers a unique opportunity to combine your technical expertise with a passion for customer experience enhancement and a desire to empower businesses with data-driven personalization.

Your job will be to:

1. Design & Deliver new features
2. Ensure quality and performance of developed solution
3. Support and Maintain owned components

a. Design & Deliver new features

• Translate business requirements for product features into technical specifications and design documents.
• Collaborate with other engineering teams to ensure a unified software architecture.
• Define and develop back-office API endpoints as well as high-performance serving endpoints.
• Develop and implement high-throughput, scalable and reliable systems to support new features.
• Deploy and monitor new features in production, ensuring seamless integration with existing systems.

b. Ensure quality and performance of developed solution

• Perform API testing, including unit tests, system tests and performance tests.
• Implement monitoring systems and dashboards to track the performance of our systems in production, identify potential issues, and optimize for speed and cost efficiency.
• Contribute to developing and implementing DevOps best practices within the team.

c. Support and Maintain owned components

• Maintain end-to-end features, encompassing microservices, back-office APIs, and high-performance serving APIs.
• Provide ongoing support and maintenance for existing features, including troubleshooting issues, fixing bugs, and implementing enhancements.
• Support our client-facing colleagues in the investigation of possible issues (L3 support).
• Document code, design decisions, and operational procedures to facilitate ongoing maintenance and knowledge sharing.

What technologies and tools does the Campaigns team work with?

• Programming languages - Go, Python
• Google Cloud Platform services - GKE, BigQuery, BigTable, GCS, VertexAI 
• Data Storage and Processing - MongoDB, Redis, Kafka 
• Software and Tools - Grafana, Gitlab, Jira, Productboard, PagerDuty, CursorAI, Copilot 

The owned area focuses on Marketing Campaigns Automation, including scheduling, audience management, content personalization and delivery. We support various marketing channels, such as Mobile Messaging, Emails, SMS/MMS, Push Notifications and Webhooks. We use Jinja for personalization and utilize ML models for content generation. Therefore, having experience in the mentioned areas is an advantage.

Your success story will be:

• In 30 Days: Successfully onboard and contribute to ongoing tasks, demonstrating understanding of the codebase and team processes.
• In 90 Days: Contribute to design discussions and independently deliver high-quality code for assigned features. Participate in investigating and resolving production issues.
• In 180 Days: Independently manage larger tasks, contribute to team improvements, and confidently handle L3 support, investigating and resolving production issues.

You have the following experience and qualities:

1. Professional — Proven experience in Go or Python engineering, system design, and maintenance in the area of campaign automation.
2. Personal — Demonstrates strong initiative, ability to work within a team, communication skills, and a commitment to continuous learning and improvement.

Professional experience

• Proven experience in at least one of the following languages: Go or Python, which are essential for building our data-driven features.
• Solid understanding of microservice-oriented architecture and experience in building systems with high throughput and low latency APIs. Familiarity with service orchestration and management (e.g. GKE).
• Experience with version control systems (Git) and CI/CD pipelines. We utilize Git for code management and CI/CD pipelines for efficient development and deployment.
• Familiarity with database management (preferably MongoDB and Redis) and event streaming (e.g. Apache Kafka).
• Experience with integrating omnichannel communication such as Mobile Messaging, Emails, SMS/MMS, Push Notifications and Webhooks would be a valued asset.
• Interest in Generative AI and its applications is a plus.

Personal qualities

• Demonstrates strong initiative and a proactive approach to problem-solving.
• Excellent communication and collaboration skills, with the ability to work effectively within a team.
• A genuine passion for learning new technologies and keeping up-to-date with the latest advancements.
• A commitment to delivering high-quality work and a dedication to continuous improvement.

Excited? Join us and transform the future of commerce experiences.

#LI-KP1

Bloomreach powers digital commerce with AI-native solutions for marketing automation, search and merchandising, conversational shopping assistance, and headless content management—driven by unified customer and product data for personalization and measurable business impact. We're expanding with new ideas and modules.

For example, our Autonomous marketing solution, you can get more info about our vision here -  https://visit.bloomreach.com/innovation-fest-2025-after

Join the Engineering team working on an Autonomous marketing solution to help shape the future of autonomous marketing. As a Software Engineer, you'll build and deploy agentic AI systems with real-world impact, collaborating alongside innovators redefining how brands engage millions of customers.

If you're passionate about prompt and context engineering, driven by impact, and want to be a key part of defining the industry's future, Bloomreach wants to hear from you. This role focuses on solving real-world problems with production-ready agentic systems, not just internal experimentation.

What challenge awaits you?

Step into the forefront of autonomous marketing innovation. As a member of the Engineering team, you’ll take on the challenge of designing, developing, and scaling production-grade agentic AI systems that are redefining how brands connect with millions of customers in real time.

You will tackle the complexities of architecting and orchestrating powerful AI agents—leveraging the latest in large language models, prompt and context engineering, and agentic workflows—to drive automated, personalized engagement across diverse digital channels. Your work involves shaping the context and memory that empowers our agents to make smart, data-driven decisions at scale.

Collaboration is key: you’ll partner with fellow engineers, data scientists, and product leaders to integrate agentic intelligence into our platform, ensuring seamless alignment with customer data, analytics, and channel experiences. This is a unique opportunity to apply your technical expertise in prompt and context engineering, contribute to an ambitious product vision, and help define the future of the marketing industry through autonomous, AI-driven solutions.

What will you do?

• Design and deliver meaningful, production-grade features end-to-end, always anchored in clear user needs and measurable business value. You’ll translate high-level vision and customer requirements into actionable plans, robust code, and scalable solutions.
• Define technical specifications directly from business goals and work collaboratively with product managers, engineers, QAs, and data scientists to ensure that every build solves a concrete problem for users.
• Build and ship APIs and backend components that drive agentic workflows and seamless AI-powered automation—ensuring performance, security, and maintainability at scale.
• Integrate and operationalize state-of-the-art GenAI, LLMs, and orchestration frameworks so your agents take real business actions in production environments, not just in proofs-of-concept.
• Take full accountability for the robustness of your solutions: developing comprehensive test suites, rigorous evaluation frameworks (including agent- and system-level benchmarking), and monitoring strategies to ensure reliability and measurable outcomes. You'll evaluate both automated agentic behaviors and overall system performance to guarantee these systems perform as intended in live scenarios.
• Apply your full stack of skills—ranging from software engineering and prompt/context design to real-world LLM/GenAI operations and DevOps best practices. You’ll make agentic systems functional, maintainable, and resilient from dev environments through to production and post-launch.
• Embrace and drive an iterative, agile development process: push early integrations, prototype quickly, validate solutions with internal customers and early adopters, solve problems collaboratively as they arise, and continually refine your work based on real feedback. You will balance near-term impact with a bold, forward-thinking product vision that anticipates the needs of tomorrow’s marketers.
• Support, maintain, and evolve your components post-launch, responding to customer needs, monitoring real-world performance, and delivering ongoing improvements in response to user and business insight.
• Document your systems and learnings to enable efficient collaboration within the team and fast, informed future iteration.

What is required for success in this role?

• A holistic engineering mindset oriented toward product excellence and impact
• Hands-on expertise in building, testing, and shipping GenAI/LLM-based agentic systems
• Practical proficiency across software engineering, applied LLM development, and DevOps practices, ensuring real-world reliability—not just theoretical capability
• Comfort with fast-paced, iterative development and a user-validated, visionary approach to technology and business outcomes

What technologies and tools does the Autonomous Marketing team work with?

• Programming languages - Python/FastAPI on Backend, TypeScript/Angular on UI 
• AI-Agentic tech stack - Gemini, PydanticAI, OpenAI, Phoenix Arize
• Google Cloud Platform services - VertexAI, GKE, BigQuery
• Data Storage and Processing - PostgreSQL, MongoDB

Experience and Qualities We Seek

We're looking for engineers who exemplify a product-driven, hands-on mindset and are skilled at translating visionary ideas into reliable, scalable, and impactful AI solutions for production environments. The ideal candidate is passionate about building GenAI/LLM-based agentic systems that not only work in theory but deliver measurable impact for users and businesses.

Professional experience

• Hands-on experience designing, evaluating, and maintaining production-grade AI agentic systems—with a proven record of applying GenAI, LLMs, and agent orchestration in real-world scenarios.
• Proven proficiency in Python engineering and modern backend development—including data processing, API development, and creation of robust microservice architectures. Experience with prompt engineering and context/memory design for LLM-powered systems is highly valued.
• Operational knowledge across the full stack: solid grasp of software engineering principles, LLM/GenAI application development, cloud operations (especially in GCP environments), CI/CD, and DevOps practices. You know how to build, deploy, monitor, and scale complex agentic systems in production.
• Expertise in evaluation methodologies: you develop comprehensive test suites and system-level benchmarks, ensuring the functional and behavioral quality of autonomous agents and their integration into broader business workflows.
• Experience collaborating with product managers, data scientists, and UX/UI engineers to align technical solutions tightly with business goals and user needs—demonstrating a track record of delivering features that ship, iterate, and create value for customers.

Personal qualities

• Strong initiative, ownership, and an agile problem-solving approach: you thrive in fast-paced, iterative environments, embrace feedback from early adopters, and adapt solutions quickly.
• Excellent communication and collaboration skills, with a demonstrated ability to work cross-functionally in diverse teams and articulate complex technical concepts to non-technical partners.
• A commitment to excellence: you are dedicated to continuous learning, knowledge sharing, and raising the bar for both technology and product impact.
• Genuine excitement for pushing boundaries: you stay curious about emerging AI and agentic technologies, and are excited to help define the future of marketing through creative, high-impact engineering.

Excited? Join us and transform the future of commerce experiences.

Bloomreach powers digital commerce with AI-native solutions for marketing automation, search and merchandising, conversational shopping assistance, and headless content management—driven by unified customer and product data for personalization and measurable business impact. We're expanding with new ideas and modules.

For example, our Autonomous marketing solution, you can get more info about our vision here -  https://visit.bloomreach.com/innovation-fest-2025-after

Join the Engineering team working on an Autonomous marketing solution to help shape the future of autonomous marketing. As a Software Engineer, you'll build and deploy agentic AI systems with real-world impact, collaborating alongside innovators redefining how brands engage millions of customers.

For candidates at the P3 / Senior Software Engineer level, starting monthly compensation begins at 3700 € gross, with the final offer tailored for each candidate based on their skills and experience(, and location). Stock options and a comprehensive benefits package are also included.

If you're passionate about prompt and context engineering, driven by impact, and want to be a key part of defining the industry's future, Bloomreach wants to hear from you. This role focuses on solving real-world problems with production-ready agentic systems, not just internal experimentation.

What challenge awaits you?

Step into the forefront of autonomous marketing innovation. As a member of the Engineering team, you’ll take on the challenge of designing, developing, and scaling production-grade agentic AI systems that are redefining how brands connect with millions of customers in real time.

You will tackle the complexities of architecting and orchestrating powerful AI agents—leveraging the latest in large language models, prompt and context engineering, and agentic workflows—to drive automated, personalized engagement across diverse digital channels. Your work involves shaping the context and memory that empowers our agents to make smart, data-driven decisions at scale.

Collaboration is key: you’ll partner with fellow engineers, data scientists, and product leaders to integrate agentic intelligence into our platform, ensuring seamless alignment with customer data, analytics, and channel experiences. This is a unique opportunity to apply your technical expertise in prompt and context engineering, contribute to an ambitious product vision, and help define the future of the marketing industry through autonomous, AI-driven solutions.

What will you do?

• Design and deliver meaningful, production-grade features end-to-end, always anchored in clear user needs and measurable business value. You’ll translate high-level vision and customer requirements into actionable plans, robust code, and scalable solutions.
• Define technical specifications directly from business goals and work collaboratively with product managers, engineers, QAs, and data scientists to ensure that every build solves a concrete problem for users.
• Build and ship APIs and backend components that drive agentic workflows and seamless AI-powered automation—ensuring performance, security, and maintainability at scale.
• Integrate and operationalize state-of-the-art GenAI, LLMs, and orchestration frameworks so your agents take real business actions in production environments, not just in proofs-of-concept.
• Take full accountability for the robustness of your solutions: developing comprehensive test suites, rigorous evaluation frameworks (including agent- and system-level benchmarking), and monitoring strategies to ensure reliability and measurable outcomes. You'll evaluate both automated agentic behaviors and overall system performance to guarantee these systems perform as intended in live scenarios.
• Apply your full stack of skills—ranging from software engineering and prompt/context design to real-world LLM/GenAI operations and DevOps best practices. You’ll make agentic systems functional, maintainable, and resilient from dev environments through to production and post-launch.
• Embrace and drive an iterative, agile development process: push early integrations, prototype quickly, validate solutions with internal customers and early adopters, solve problems collaboratively as they arise, and continually refine your work based on real feedback. You will balance near-term impact with a bold, forward-thinking product vision that anticipates the needs of tomorrow’s marketers.
• Support, maintain, and evolve your components post-launch, responding to customer needs, monitoring real-world performance, and delivering ongoing improvements in response to user and business insight.
• Document your systems and learnings to enable efficient collaboration within the team and fast, informed future iteration.

What is required for success in this role?

• A holistic engineering mindset oriented toward product excellence and impact
• Hands-on expertise in building, testing, and shipping GenAI/LLM-based agentic systems
• Practical proficiency across software engineering, applied LLM development, and DevOps practices, ensuring real-world reliability—not just theoretical capability
• Comfort with fast-paced, iterative development and a user-validated, visionary approach to technology and business outcomes

What technologies and tools does the Autonomous Marketing team work with?

• Programming languages - Python/FastAPI on Backend, TypeScript/Angular on UI 
• AI-Agentic tech stack - Gemini, PydanticAI, OpenAI, Phoenix Arize
• Google Cloud Platform services - VertexAI, GKE, BigQuery
• Data Storage and Processing - PostgreSQL, MongoDB

Experience and Qualities We Seek

We're looking for engineers who exemplify a product-driven, hands-on mindset and are skilled at translating visionary ideas into reliable, scalable, and impactful AI solutions for production environments. The ideal candidate is passionate about building GenAI/LLM-based agentic systems that not only work in theory but deliver measurable impact for users and businesses.

Professional experience

• Hands-on experience designing, evaluating, and maintaining production-grade AI agentic systems—with a proven record of applying GenAI, LLMs, and agent orchestration in real-world scenarios.
• Proven proficiency in Python engineering and modern backend development—including data processing, API development, and creation of robust microservice architectures. Experience with prompt engineering and context/memory design for LLM-powered systems is highly valued.
• Operational knowledge across the full stack: solid grasp of software engineering principles, LLM/GenAI application development, cloud operations (especially in GCP environments), CI/CD, and DevOps practices. You know how to build, deploy, monitor, and scale complex agentic systems in production.
• Expertise in evaluation methodologies: you develop comprehensive test suites and system-level benchmarks, ensuring the functional and behavioral quality of autonomous agents and their integration into broader business workflows.
• Experience collaborating with product managers, data scientists, and UX/UI engineers to align technical solutions tightly with business goals and user needs—demonstrating a track record of delivering features that ship, iterate, and create value for customers.

Personal qualities

• Strong initiative, ownership, and an agile problem-solving approach: you thrive in fast-paced, iterative environments, embrace feedback from early adopters, and adapt solutions quickly.
• Excellent communication and collaboration skills, with a demonstrated ability to work cross-functionally in diverse teams and articulate complex technical concepts to non-technical partners.
• A commitment to excellence: you are dedicated to continuous learning, knowledge sharing, and raising the bar for both technology and product impact.
• Genuine excitement for pushing boundaries: you stay curious about emerging AI and agentic technologies, and are excited to help define the future of marketing through creative, high-impact engineering.

Excited? Join us and transform the future of commerce experiences.

Our Global Procurement team aims to provide a best-in-class experience that ensures Bloomreachers get exactly what they need, when they need it, under the best possible terms. 

If you have a passion for high-stakes negotiation and are in the business of using agentic AI and automation to "delete" manual work, join Bloomreach as a Strategic Sourcing & Systems Manager. In this role, you will leverage a cutting-edge stack that includes ZIP, Zapier, and LLMs to turn procurement into a true business enabler.  You will also help manage and maintain our suite of procurement tools, ensuring our global "follow-the-sun" operation runs flawlessly from Europe.

What challenge awaits you? 

The Procurement team is looking for an innovation-first manager to help us transition from excellent turnaround times to "best-in-class." You will adopt the challenge of scaling our global intake and sourcing capabilities by automating away friction. You will build, manage, and optimize reporting and workflows that balance rapid automation with smart risk management. You will then use these tools to dig deep into spend data, ensuring we are always operating at the forefront of procurement technology. Your salary starts from €3000 gross per month with restricted stock units and other benefits included. You can work in one of our Central Europe offices (Bratislava, Brno, Prague) or from home in Central and Eastern Europe on a full-time basis.

Your job will be to:

a. Deliver a Seamless & Competitive Procurement Experience

• Support the global intake lifecycle, ensuring Bloomreachers enjoy a frictionless experience that gets them what they need, exactly when they need it.
• Drive operational velocity by maintaining best-in-class Turnaround Times (TAT), providing the organization with a competitive edge through rapid resource deployment.
• Act as the European anchor for our "follow-the-sun" support model, ensuring proactive partnership and seamless global coverage alongside our US-based team.
• Lead high-impact negotiations for global contracts, securing terms that mitigate risk while actively empowering our teams to move faster.

b. Architect Sourcing & Automation Workflows

• Manage and maintain our core suite of tools, including ZIP, Vendr, Spendhound, and DocuSign.
• Utilize Zapier, N8N, and Agentic AI solutions to automate manual steps in the procurement lifecycle.
• Experiment with and implement ambitious LLM (Claude, Gemini) use cases to improve document processing and stakeholder communication.

c. Partner with the Business on Risk & Strategic Insights

• Cultivate deep partnerships across the organization to gain a thorough understanding of what our teams do and the strategic "why" behind their requirements, enabling us to provide better-aligned and more impactful support.
• Collaborate with internal stakeholders to define and calibrate the company's risk appetite for various spend categories to match business velocity.
• Design and implement smart compliance parameters within our automated workflows to hit the perfect balance between operational speed and risk management.
• Ensure a consistent global experience across our procurement processes so that every user can navigate their buying journey easily and efficiently.

d. Lead Data-Driven Procurement Innovation

• Take an active role in identifying new ways to collect and analyze spend data using NetSuite and Spendhound.
• Work jointly with our FP&A team to proactively identify budget challenges and opportunities.
• Develop expert-level knowledge of all internal data and business tactics to identify consolidation potential.
• Present performance insights to leadership in a manner that demonstrates procurement's value as a strategic enabler.

Ultimately, your goal is not just to manage contracts, but to build an automated, intelligent procurement engine that scales with Bloomreach’s growth.

Your success story will be:

• In 30 days, you dive right in, becoming familiar with our current ZIP workflows and global intake queue, identifying the first "low-hanging fruit" for automation.
• In 90 days, you have created a prioritized roadmap for AI agents and automation and have already begun executing the first phase of improvements.
• In 180 days, you have automated over 4 distinct manual processes and successfully improved our global TAT by 0.5 working days, becoming an essential part of our global operations.

You have the following experience and qualities:

1. Professional — experience in procurement operations and workflow engineering
2. Personal — motivation, independence, and fluency in English

Professional experience

• 3–5 years of experience in procurement or sourcing (we value attitude and specific automation experience over years on the clock).
• Hands-on experience with Zapier, N8N, or other agentic AI/automation solutions.
• Strong interest in using LLMs (Claude, Gemini, etc.) to solve complex back-office challenges.
• Experience negotiating SaaS and professional services contracts in a global environment.
• Good to have: Proven experience with ZIP or similar intake-to-orchestration platforms

Personal qualities

• Enjoy working as a service-oriented enabler and taking pride in helping others succeed, understanding that procurement is a supporting role at its heart.
• Energized by variety and motivated by the challenge of working across all categories as a generalist rather than being boxed into one specialty.
• Naturally curious — Take pride in uncovering new findings and solving problems, even those that are complex or may have more than one resolution.
• Take ownership of both successes and failures, with the ability to apply learnings to future projects and the self-organization to navigate through ambiguous situations.
• Fluent in English with excellent written and verbal communication skills.

Excited? Join us and transform the future of commerce experiences.

Our Global Procurement team aims to provide a best-in-class experience that ensures Bloomreachers get exactly what they need, when they need it, under the best possible terms. 

If you have a passion for high-stakes negotiation and are in the business of using agentic AI and automation to "delete" manual work, join Bloomreach as a Strategic Sourcing & Systems Manager. In this role, you will leverage a cutting-edge stack that includes ZIP, Zapier, and LLMs to turn procurement into a true business enabler.  You will also help manage and maintain our suite of procurement tools, ensuring our global "follow-the-sun" operation runs flawlessly from Europe.

What challenge awaits you? 

The Procurement team is looking for an innovation-first manager to help us transition from excellent turnaround times to "best-in-class." You will adopt the challenge of scaling our global intake and sourcing capabilities by automating away friction. You will build, manage, and optimize reporting and workflows that balance rapid automation with smart risk management. You will then use these tools to dig deep into spend data, ensuring we are always operating at the forefront of procurement technology. You can work in one of our Central Europe offices (Bratislava, Brno, Prague) or from home in Central and Eastern Europe on a full-time basis.

Your job will be to:

a. Deliver a Seamless & Competitive Procurement Experience

• Support the global intake lifecycle, ensuring Bloomreachers enjoy a frictionless experience that gets them what they need, exactly when they need it.
• Drive operational velocity by maintaining best-in-class Turnaround Times (TAT), providing the organization with a competitive edge through rapid resource deployment.
• Act as the European anchor for our "follow-the-sun" support model, ensuring proactive partnership and seamless global coverage alongside our US-based team.
• Lead high-impact negotiations for global contracts, securing terms that mitigate risk while actively empowering our teams to move faster.

b. Architect Sourcing & Automation Workflows

• Manage and maintain our core suite of tools, including ZIP, Vendr, Spendhound, and DocuSign.
• Utilize Zapier, N8N, and Agentic AI solutions to automate manual steps in the procurement lifecycle.
• Experiment with and implement ambitious LLM (Claude, Gemini) use cases to improve document processing and stakeholder communication.

c. Partner with the Business on Risk & Strategic Insights

• Cultivate deep partnerships across the organization to gain a thorough understanding of what our teams do and the strategic "why" behind their requirements, enabling us to provide better-aligned and more impactful support.
• Collaborate with internal stakeholders to define and calibrate the company's risk appetite for various spend categories to match business velocity.
• Design and implement smart compliance parameters within our automated workflows to hit the perfect balance between operational speed and risk management.
• Ensure a consistent global experience across our procurement processes so that every user can navigate their buying journey easily and efficiently.

d. Lead Data-Driven Procurement Innovation

• Take an active role in identifying new ways to collect and analyze spend data using NetSuite and Spendhound.
• Work jointly with our FP&A team to proactively identify budget challenges and opportunities.
• Develop expert-level knowledge of all internal data and business tactics to identify consolidation potential.
• Present performance insights to leadership in a manner that demonstrates procurement's value as a strategic enabler.

Ultimately, your goal is not just to manage contracts, but to build an automated, intelligent procurement engine that scales with Bloomreach’s growth.

Your success story will be:

• In 30 days, you dive right in, becoming familiar with our current ZIP workflows and global intake queue, identifying the first "low-hanging fruit" for automation.
• In 90 days, you have created a prioritized roadmap for AI agents and automation and have already begun executing the first phase of improvements.
• In 180 days, you have automated over 4 distinct manual processes and successfully improved our global TAT by 0.5 working days, becoming an essential part of our global operations.

You have the following experience and qualities:

1. Professional — experience in procurement operations and workflow engineering
2. Personal — motivation, independence, and fluency in English

Professional experience

• 3–5 years of experience in procurement or sourcing (we value attitude and specific automation experience over years on the clock).
• Hands-on experience with Zapier, N8N, or other agentic AI/automation solutions.
• Strong interest in using LLMs (Claude, Gemini, etc.) to solve complex back-office challenges.
• Experience negotiating SaaS and professional services contracts in a global environment.
• Good to have: Proven experience with ZIP or similar intake-to-orchestration platforms

Personal qualities

• Enjoy working as a service-oriented enabler and taking pride in helping others succeed, understanding that procurement is a supporting role at its heart.
• Energized by variety and motivated by the challenge of working across all categories as a generalist rather than being boxed into one specialty.
• Naturally curious — Take pride in uncovering new findings and solving problems, even those that are complex or may have more than one resolution.
• Take ownership of both successes and failures, with the ability to apply learnings to future projects and the self-organization to navigate through ambiguous situations.
• Fluent in English with excellent written and verbal communication skills.

Excited? Join us and transform the future of commerce experiences.

We want you to join us full-time as a Senior Software Engineer in our Data Pipeline team. We work remotely first (from Central & Eastern Europe), but we are more than happy to meet you in our nice offices in Bratislava, Brno or Prague. And if you are interested in who will be your engineering manager, check out Vaclav's Linkedin. 

Intrigued? Read on 🙂…

Your responsibilities

• You will develop a data pipeline processing a large amount of data reliably and at a high rate using Python, Go, MongoDB, GCP and much more.
• For example, our clients feed their visitors’ behavior through real-time tracking to our platform. The data then can be analyzed and used for marketing automation. We process tens of thousands of requests per second 🚀. You may help improve the efficiency of our workers, improve monitoring or help with autoscaling of our infrastructure.
• Imports are critical for our clients to utilize our platform to the fullest. You may help us to improve the throughput and reliability of our imports as we need to import millions of rows of data or help us implement integration with another data storage.
• We also are responsible for exporting data from our platform to Google’s BigQuery using google’s DataFlows, PySpark and Apache Beam allowing data access by our clients
• You will help us run and support our services in production handling high-volume traffic using Google Cloud Platform and Kubernetes.
• You will review the code of your peers and they'll review yours. We have high code quality standards and the four-eyes principle is a must!
• You will start on easier, self-contained projects and once you feel at home, you can move to real beasts. Challenging, complex projects that will leave a mark - we have plenty of those 💪.
• Later you might help us by participating in on-call rotation keeping our services up and running 🚀.

Your qualifications

• You have experience with Python and a solid grasp of engineering practices 🔧.
• If you have an experience with Go, that's a big advantage 💪.
• You have experience with ETL pipelines, ingest on a scale, starting from various connectors to SQL and non-SQL sources, followed by data cleanup, sanitization and transformations resulting in loading cleaned-up data into optimise storages for a given use-case
• You know how to behave in a remote-first environment 
• You are able to learn and adapt. It'll be handy while exploring new tech, navigating our not-so-small code base, or when iterating on our team processes.

Our tech stack

• Python, GO
• Apache Kafka, Kubernetes, GitLab
• Google Cloud Platform, DataFlow, PySpark, Apache Beam, BigQuery, BigLake Table
• DataProc, PySpark, Flink, 
• Mongo, Redis
• … and much more 🙂

Your success story

• During the first 30 days, you will get to know the team, the company, and the most important processes. You’ll work on your first tasks. We will help you to get familiar with our codebase and our product.
• During the first 90 days, you will participate in your first, more complex projects. You will help the team to find solutions to various problems, break the solution down into smaller tasks and participate in implementation. You will learn how we identify problems, how we prioritize our efforts, and how we deliver value to our customers.
• During the first 180 days, you’ll become an integral part of the team. You will achieve the first goals we will set together to help you grow and explore new and interesting things. You will help us to deliver multi-milestone projects bringing great value to our customers. You will help us mitigate your first incidents and eventually even join the on-call rotation. You will get a sense of where the team is heading and you’ll help us to shape our future.
• Finally, you’ll find out that our values are truly lived by us 💛. We are dreamers and builders. Join us!

#LI-KP1

We want you to join us full-time as a Senior Software Engineer in our Data Pipeline team. We work remotely first (from Central & Eastern Europe), but we are more than happy to meet you in our nice offices in Bratislava, Brno or Prague. And if you are interested in who will be your engineering manager, check out Vaclav's Linkedin. Salary range starting from 3700 EUR gross per month, going up depending on your experience and skills.

Intrigued? Read on 🙂…

Your responsibilities

• You will develop a data pipeline processing a large amount of data reliably and at a high rate using Python, Go, MongoDB, GCP and much more.
• For example, our clients feed their visitors’ behavior through real-time tracking to our platform. The data then can be analyzed and used for marketing automation. We process tens of thousands of requests per second 🚀. You may help improve the efficiency of our workers, improve monitoring or help with autoscaling of our infrastructure.
• Imports are critical for our clients to utilize our platform to the fullest. You may help us to improve the throughput and reliability of our imports as we need to import millions of rows of data or help us implement integration with another data storage.
• We also are responsible for exporting data from our platform to Google’s BigQuery using google’s DataFlows, PySpark and Apache Beam allowing data access by our clients
• You will help us run and support our services in production handling high-volume traffic using Google Cloud Platform and Kubernetes.
• You will review the code of your peers and they'll review yours. We have high code quality standards and the four-eyes principle is a must!
• You will start on easier, self-contained projects and once you feel at home, you can move to real beasts. Challenging, complex projects that will leave a mark - we have plenty of those 💪.
• Later you might help us by participating in on-call rotation keeping our services up and running 🚀.

Your qualifications

• You have experience with Python and a solid grasp of engineering practices 🔧.
• If you have an experience with Go, that's a big advantage 💪.
• You have experience with ETL pipelines, ingest on a scale, starting from various connectors to SQL and non-SQL sources, followed by data cleanup, sanitization and transformations resulting in loading cleaned-up data into optimise storages for a given use-case
• You know how to behave in a remote-first environment 
• You are able to learn and adapt. It'll be handy while exploring new tech, navigating our not-so-small code base, or when iterating on our team processes.

Our tech stack

• Python, GO
• Apache Kafka, Kubernetes, GitLab
• Google Cloud Platform, DataFlow, PySpark, Apache Beam, BigQuery, BigLake Table
• DataProc, PySpark, Flink, 
• Mongo, Redis
• … and much more 🙂

Your success story

• During the first 30 days, you will get to know the team, the company, and the most important processes. You’ll work on your first tasks. We will help you to get familiar with our codebase and our product.
• During the first 90 days, you will participate in your first, more complex projects. You will help the team to find solutions to various problems, break the solution down into smaller tasks and participate in implementation. You will learn how we identify problems, how we prioritize our efforts, and how we deliver value to our customers.
• During the first 180 days, you’ll become an integral part of the team. You will achieve the first goals we will set together to help you grow and explore new and interesting things. You will help us to deliver multi-milestone projects bringing great value to our customers. You will help us mitigate your first incidents and eventually even join the on-call rotation. You will get a sense of where the team is heading and you’ll help us to shape our future.
• Finally, you’ll find out that our values are truly lived by us 💛. We are dreamers and builders. Join us!

#LI-KP1

Bloomreach is seeking an AI Customer Lifecycle Manager to orchestrate AI-powered customer engagement across the entire customer lifecycle. In this role, you will work hand-in-hand with Marketing Ops, Customer Success, RevOps, and team to ensure AI capabilities intelligently serve every customer interaction - from onboarding and enablement to renewals, upsell, and support escalations. You'll play a key role in designing customer programs that adapt based on customer type and engagement patterns, turning data into actionable GTM insights that shape how we engage customers at scale. 

You'll also own the development of usage analytics and reporting tools that give customers visibility into their own adoption while simultaneously surfacing strategic intelligence for Bloomreach's go-to-market decisions. The ideal candidate combines deep understanding of customer success operations with technical aptitude, thrives in cross-functional collaboration, and is motivated to make AI the engine behind smarter, more personalized customer relationships. The focus is on delivering the right program for every customer communication based on customer segment and needs, using AI to personalize outreach and share relevant updates (for example, automated usage reports or product tips tailored to each customer).

Your salary starts from 3500 € gross per month with restricted stock units and other benefits included. You can work in one of our Central Europe offices (Bratislava, Brno, Prague) or from home in Central and Eastern Europe on a full-time basis.  

Your job will be to:

• Redefine customer engagement with AI programs: Partner with the AI Ops team to design and evolve autonomous customer programs - from intelligent onboarding sequences to renewal automation, support routing, and upsell recommendations - that deliver the right message at the right time to every customer type.
• Accelerate the customer lifecycle: Own the tracking and optimization of critical customer metrics - onboarding time-to-first-value, feature adoption rates, renewal velocity, upsell pipeline conversion, support resolution time - with a relentless focus on retention, expansion, and customer satisfaction.
• Build customer insights tools that drive GTM strategy: Develop and refine usage analytics dashboards, automation decision-making frameworks, and reporting capabilities that (1) give customers self-service visibility into their adoption and ROI, and (2) surface critical patterns and opportunities to Bloomreach's Product, Sales, and Marketing teams - directly informing go-to-market positioning, segment strategies, and product roadmap priorities.
• Participate in building the customer tech stack of the future: Work with Ops & Innovation team, RevOps, and Product teams to understand the integration and orchestration of Salesforce, Staircase, Gainsight, Hubspot or other automation platform, N8N, Supabase, GPT-based tools, and analytics platforms to co-create a future-ready customer stack that scales across all customer types.
• Innovate and experiment: Continuously test and refine AI capabilities, messaging, segmentation logic, and customer programs, ensuring Bloomreach stays ahead of the curve in customer experience innovation and turns experimentation into competitive advantage.
• Unify teams around AI-powered customer relationships: Collaborate across Customer Success leadership, Support, Account Management, Product, Sales, and Marketing to align people, process, and technology - ensuring every team benefits from and contributes to the evolution of AI-driven customer engagement.
• Enable success teams through AI adoption: Work side by side with Customer Success, Support, and Account Management to embed AI seamlessly into their workflows, turning AI into a trusted partner that helps them deliver proactive, data-driven customer experiences and accelerate time-to-value.

Your success story will be:

• 30–60 days: AI-driven communication programs are piloted for key customer segments, and internal teams begin to treat AI as a trusted partner - confidently offloading routine outreach (like usage summaries and check-in emails) to autonomous programs that save time and enhance the relevance of each touchpoint. Early feedback from customers is positive, as they receive timely, personalized communications that add value to their experience.
• 60–120 days: The AI customer engagement foundation evolves into a global program rolled out across all customer types, with optimization in play. You can demonstrate faster onboarding times, higher feature adoption rates, and clear improvements in customer engagement metrics. 
• 3-6 months:  There are early signs of higher customer satisfaction and retention, as AI-powered touchpoints drive a quicker journey to value and more proactive support for every customer.
  
  

You have the following experience and qualities:

• Program/operations leadership: You’ve run customer-facing programs or operations in a SaaS environment and can turn strategy into hands-on execution that delivers results at scale across multiple customer segments.
• Tech & tools savvy: You're fluent in tools like Salesforce or (similar CRM), generative AI tools, and analytics dashboards. You understand workflow automation. You quickly learn new technologies and leverage them to drive automation.
• Data-driven mindset: You love digging into metrics and usage data, spotting opportunities to improve engagement, speed up value delivery, and increase customer satisfaction.
• Change management skills: You’re great at helping people adopt new tech and processes - patient, clear, and persuasive in driving change and encouraging teams to trust AI-driven solutions.
• Cross-functional collaboration: You thrive in cross-functional teams and can speak both business and technical languages, effectively bridging gaps between departments to achieve common goals.
• Innovative and customer-focused: You’re curious, forward-looking, and excited to reinvent how SaaS companies engage and support their customers with AI. You keep the customer’s experience at the heart of every automation you implement.

#LI-KP1

Bloomreach is seeking an AI Customer Lifecycle Manager to orchestrate AI-powered customer engagement across the entire customer lifecycle. In this role, you will work hand-in-hand with Marketing Ops, Customer Success, RevOps, and team to ensure AI capabilities intelligently serve every customer interaction - from onboarding and enablement to renewals, upsell, and support escalations. You'll play a key role in designing customer programs that adapt based on customer type and engagement patterns, turning data into actionable GTM insights that shape how we engage customers at scale. 

You'll also own the development of usage analytics and reporting tools that give customers visibility into their own adoption while simultaneously surfacing strategic intelligence for Bloomreach's go-to-market decisions. The ideal candidate combines deep understanding of customer success operations with technical aptitude, thrives in cross-functional collaboration, and is motivated to make AI the engine behind smarter, more personalized customer relationships. The focus is on delivering the right program for every customer communication based on customer segment and needs, using AI to personalize outreach and share relevant updates (for example, automated usage reports or product tips tailored to each customer).

You can work in one of our Central Europe offices (Bratislava, Brno, Prague) or from home in Central and Eastern Europe on a full-time basis.   

Your job will be to:

• Redefine customer engagement with AI programs: Partner with the AI Ops team to design and evolve autonomous customer programs - from intelligent onboarding sequences to renewal automation, support routing, and upsell recommendations - that deliver the right message at the right time to every customer type.
• Accelerate the customer lifecycle: Own the tracking and optimization of critical customer metrics - onboarding time-to-first-value, feature adoption rates, renewal velocity, upsell pipeline conversion, support resolution time - with a relentless focus on retention, expansion, and customer satisfaction.
• Build customer insights tools that drive GTM strategy: Develop and refine usage analytics dashboards, automation decision-making frameworks, and reporting capabilities that (1) give customers self-service visibility into their adoption and ROI, and (2) surface critical patterns and opportunities to Bloomreach's Product, Sales, and Marketing teams - directly informing go-to-market positioning, segment strategies, and product roadmap priorities.
• Participate in building the customer tech stack of the future: Work with Ops & Innovation team, RevOps, and Product teams to understand the integration and orchestration of Salesforce, Staircase, Gainsight, Hubspot or other automation platform, N8N, Supabase, GPT-based tools, and analytics platforms to co-create a future-ready customer stack that scales across all customer types.
• Innovate and experiment: Continuously test and refine AI capabilities, messaging, segmentation logic, and customer programs, ensuring Bloomreach stays ahead of the curve in customer experience innovation and turns experimentation into competitive advantage.
• Unify teams around AI-powered customer relationships: Collaborate across Customer Success leadership, Support, Account Management, Product, Sales, and Marketing to align people, process, and technology - ensuring every team benefits from and contributes to the evolution of AI-driven customer engagement.
• Enable success teams through AI adoption: Work side by side with Customer Success, Support, and Account Management to embed AI seamlessly into their workflows, turning AI into a trusted partner that helps them deliver proactive, data-driven customer experiences and accelerate time-to-value.

Your success story will be:

• 30–60 days: AI-driven communication programs are piloted for key customer segments, and internal teams begin to treat AI as a trusted partner - confidently offloading routine outreach (like usage summaries and check-in emails) to autonomous programs that save time and enhance the relevance of each touchpoint. Early feedback from customers is positive, as they receive timely, personalized communications that add value to their experience.
• 60–120 days: The AI customer engagement foundation evolves into a global program rolled out across all customer types, with optimization in play. You can demonstrate faster onboarding times, higher feature adoption rates, and clear improvements in customer engagement metrics. 
• 3-6 months:  There are early signs of higher customer satisfaction and retention, as AI-powered touchpoints drive a quicker journey to value and more proactive support for every customer.
  
  

You have the following experience and qualities:

• Program/operations leadership: You’ve run customer-facing programs or operations in a SaaS environment and can turn strategy into hands-on execution that delivers results at scale across multiple customer segments.
• Tech & tools savvy: You're fluent in tools like Salesforce or (similar CRM), generative AI tools, and analytics dashboards. You understand workflow automation. You quickly learn new technologies and leverage them to drive automation.
• Data-driven mindset: You love digging into metrics and usage data, spotting opportunities to improve engagement, speed up value delivery, and increase customer satisfaction.
• Change management skills: You’re great at helping people adopt new tech and processes - patient, clear, and persuasive in driving change and encouraging teams to trust AI-driven solutions.
• Cross-functional collaboration: You thrive in cross-functional teams and can speak both business and technical languages, effectively bridging gaps between departments to achieve common goals.
• Innovative and customer-focused: You’re curious, forward-looking, and excited to reinvent how SaaS companies engage and support their customers with AI. You keep the customer’s experience at the heart of every automation you implement.

#LI-KP1

We want you to join us full-time as a Software Backend Engineer (medior level). You will work remotely first (from Central & Eastern Europe), but we are more than happy to meet you in our nice offices in Bratislava, Brno or Prague. For candidates at the P2 / Software Engineer II level, starting monthly compensation begins at 2 900 € gross, with the final offer tailored for each candidate based on their skills and experience. Stock options and a comprehensive benefits package are also included.

The Pulsar team builds platform and admin services that all Bloomreach SaaS products rely on. In your first year, you’ll develop features used by thousands of customers and deliver fast, consistent, and high-energy (but low-drama) product releases. We all work remotely from the US, India, and Europe.

Examples of our services:  

• Central services to publish Model Context Protocol APIs for external AI agents
• Multi-product customer provisioning and licensing orchestration
• Integrated user management, authentication, and authorization
• High-availability, centralized configuration management
• Tools for new customer integration & product tuning

Why you’ll love your work

• Technical Variety: Cloud-native services with diverse tech stacks offer learning and experimentation.
• Impact: Our services are used by customers and teams across the company – engineers, product managers, services consultants, and even executives.
• Autonomy: Senior engineers design, build, and deploy complete projects and are experts in our services.
• Teamwork: Your teammates are also high performers and will support you with learning our systems, brainstorming & design review, and running high-reliability production deployments.

Your typical day

Your day begins with review of a US teammate’s GitLab merge request. It has already been reviewed by Claude, but you’ll think deeply about the business problem, alternative solutions, and future needs. Then you spend a few undisturbed hours “in the flow,” working on changes to the user management APIs to support a UX improvement that a designer suggested yesterday. Soon, all your new unit tests are green. With a few keystrokes, you create a merge request, spin up a dev instance, and deploy your change. After some quick smoke tests, you send a link to a frontend engineer who is collaborating with our team.

After lunch, you join your team for a quick standup via Zoom to discuss current work and the plan for the next few days. A teammate offers to review your new code. It has some complex behavior, so you walk through it together and make a few improvements.

The frontend engineer confirms over Slack that your API changes provide what they need. You merge it, which automatically retests and deploys to a staging environment. The UI changes and a few more integration tests from the QA team will be merged in a day or two. Your improvement will be in production in a few weeks.

Next, you respond to a Slack request for advice on integrating with the authorization API. You draft a short tech design doc that links the API spec, code examples, and optimization tips. You discuss it on the team channel, and your manager forwards it to another team that’s also starting a new service.

Your day ends with a quick chat with a product manager about another idea….

Our tech stack(s)

• Languages & Frameworks: Java / Spring, Python, Go – occasionally TypeScript, Angular, React
• Data: Postgres, MySQL, MongoDB, Redis, Kafka
• Cloud: AWS & GCP (RDS, Redshift, Pub/Sub, BigTable, DataFlow, etc), Docker & Kubernetes (via EKS & GKE)
• Tools: Jira, Gitlab CI/CD, Prometheus, Grafana, OpenSearch

Our expectations

• Flexible intelligence: Stretch your technical skills in a distributed cloud environment, making changes across systems built with various tech stacks to meet challenging requirements.
• Drive: Rapidly ship product improvements that affect thousands of users in a low-drama and high-trust way. 
• Security & Reliability: Balance risks and benefits of change with discipline and agility.
• Communication: Organize technical work and maintain trust/respect across multiple teams, geographic regions, and departments.
• Knowledge Sharing: Proactively share expertise, guide less experienced team members, and document work for long-term sustainability.

The ideal candidate’s experience

• Active user of AI coding tools such as Cursor and Claude Code
• Developed backend services with Python using a variety of data systems (3+ years)
• Understands web security principles (OWASP), Authentication, and Authorization practices
• Designed APIs for a SaaS product
• Operated services in production on public cloud infrastructure
• Some experience with Java / Spring or Go
• Exposure to web frontend development (Angular / React)

#LI-KP1