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

Shape the Future of Financial Services with Capco

At Capco, we specialize in management consulting and software development, partnering with leading international banks and insurance companies across Western Europe. Our innovative approach and collaborative culture make us the ideal place for professionals looking to make an impact in financial services technology.

Want to learn more about our culture and people? Visit us: Capco Careers Slovakia

Why Join Us?

• Continuous Learning & Development – Access to technical and soft skills training, professional certifications, and full access to the Udemy online learning platform.
• Flexible Work Environment – we provide flexibility to work remotely from the home office within Czech Republic
• Attractive Benefits Package:
  ✅ Paid sick days
  ✅ 25 vacation days (regardless of age)
  ✅ Cafeteria provided by the Benefits plus services
  ✅ Fully paid meal vouchers
  ✅ Smartphone with 1TB data + Laptop
• Well-being & Community Engagement – mental health webinars, running challenges, sports activities, multisport card or participate in our volunteering days.
• Long-term career – Indefinite period contract with opportunities for career growth.

About the Role

We are building a modern enterprise data platform to support our next phase of digital transformation, including SAP integration, internal application evolution, and advanced BI capabilities.

We are seeking a Data Platform & Architecture Lead to design, own, and evolve how data flows across our organization. This role is focused on data architecture, integration, modeling and database administration.

You will play a critical role in establishing a scalable, well-governed data foundation that enables consistent reporting, operational insights, and future AI capabilities.

What You’ll Do

1. Own Enterprise Data Architecture

• Design and maintain the end-to-end data architecture across systems
• Define canonical data models that unify data from SAP, internal applications, and financial systems
• Establish standards for data structure, naming, and consistency

2. Design Data Pipelines & Orchestration

• Architect and oversee data pipelines and transformation layers
• Work with our internal ETL/orchestration platform to manage data flows
• Ensure scalability, reliability, and observability of pipelines

3. Lead Multi-System Integration

• Integrate data across:

• SAP
• Internal applications (Sales, Performance, Resourcing)
• Financial planning tools (e.g., Anaplan)

• Resolve inconsistencies and define a single source of truth

4. Enable BI & Analytics

• Design analytics-ready data models (fact/dimension structures)
• Partner with BI teams (Looker) to ensure consistent, scalable reporting
• Support metric standardization across the organization

5. Drive Data Strategy & Maturity

• Assess current data landscape and define a data maturity roadmap
• Introduce best practices in:

• Data governance
• Data quality
• Data lifecycle management

6. Collaborate Across Teams

• Work closely with Engineering, BI, and Business stakeholders
• Translate business requirements into scalable data solutions
• Act as a bridge between technical and functional teams

What We’re Looking For

Must-Have Experience

• Proven experience in Data Architecture or Senior Data Engineering roles
• Strong background in designing end-to-end data pipelines
• Experience with data modeling for analytics (fact/dimension, semantic layers)
• Experience integrating multiple systems (ERP, APIs, internal platforms)
• Proficiency in SQL and Python (or similar modern data tooling)
• Solid understanding of data warehousing and modern data architectures

Nice to Have

• Experience with orchestration tools (e.g., Airflow, Dagster, or similar)
• Familiarity with columnar databases (e.g., ClickHouse, Snowflake, BigQuery)
• Experience working with BI tools such as Looker
• Exposure to API-based data ingestion and semi-structured data (JSON)

How to Stand Out

Candidates who stand out will be able to clearly articulate:

• A data platform or architecture they have designed
• How they integrated multiple systems into a unified model
• How they enabled BI or analytics through data modeling

Your Hiring Journey

✅ Screening Call – Introductory chat with our recruiter
✅ Technical Interviews (1-2 rounds, depending on the project) – Discuss your skills with our experienced Capco colleagues
✅ Feedback & Offer – Receive an offer to join our team!

Why Capco? Because You Matter.

At Capco, we prioritize your career growth and well-being. You will have a personal coach to support your development and a flat hierarchy that encourages you to share and implement your ideas. Plus, our team events, sports activities, and networking opportunities help you stay connected and engaged beyond work.

Curious to learn more? Apply now – it only takes 5 minutes!

📩 Contact: Tomas Vanco – tomas.vanco@capco.com
💻 Connect on LinkedIn: Tomas Vanco | LinkedIn

#fulltime 

Shape the Future of Financial Services with Capco

At Capco, we specialize in management consulting and software development, partnering with leading international banks and insurance companies across Western Europe. Our innovative approach and collaborative culture make us the ideal place for professionals looking to make an impact in financial services technology.

Want to learn more about our culture and people? Visit us: Capco Careers Slovakia

Why Join Us?

• Continuous Learning & Development – Access to technical and soft skills training, professional certifications, and full access to the Udemy online learning platform.
• Flexible Work Environment – Work from our modern Bratislava office (Nivy Tower) or remotely from home.
• Attractive Benefits Package:
  ✅ Private health care & paid sick days
  ✅ 25 vacation days (regardless of age)
  ✅ Monthly cafeteria allowance (€50/month) or contribution to the 3rd pillar
  ✅ Fully paid meal vouchers
  ✅ Smartphone with 1TB data + Laptop
  ✅ Relaxing office environment: Fresh fruit, game room (PS4, table football), pet-friendly space
• Well-being & Community Engagement – Join yoga lessons, mental health webinars, running challenges, sports activities, or participate in our volunteering days.
• Competitive Compensation – Starting from € 3,400/month (adjusted based on experience) + annual bonus & benefits package.
• Long-term career – Indefinite period contract with opportunities for career growth.

About the Role

We are building a modern enterprise data platform to support our next phase of digital transformation, including SAP integration, internal application evolution, and advanced BI capabilities.

We are seeking a Data Platform & Architecture Lead to design, own, and evolve how data flows across our organization. This role is focused on data architecture, integration, modeling and database administration.

You will play a critical role in establishing a scalable, well-governed data foundation that enables consistent reporting, operational insights, and future AI capabilities.

What You’ll Do

1. Own Enterprise Data Architecture

• Design and maintain the end-to-end data architecture across systems
• Define canonical data models that unify data from SAP, internal applications, and financial systems
• Establish standards for data structure, naming, and consistency

2. Design Data Pipelines & Orchestration

• Architect and oversee data pipelines and transformation layers
• Work with our internal ETL/orchestration platform to manage data flows
• Ensure scalability, reliability, and observability of pipelines

3. Lead Multi-System Integration

• Integrate data across:

• SAP
• Internal applications (Sales, Performance, Resourcing)
• Financial planning tools (e.g., Anaplan)

• Resolve inconsistencies and define a single source of truth

4. Enable BI & Analytics

• Design analytics-ready data models (fact/dimension structures)
• Partner with BI teams (Looker) to ensure consistent, scalable reporting
• Support metric standardization across the organization

5. Drive Data Strategy & Maturity

• Assess current data landscape and define a data maturity roadmap
• Introduce best practices in:

• Data governance
• Data quality
• Data lifecycle management

6. Collaborate Across Teams

• Work closely with Engineering, BI, and Business stakeholders
• Translate business requirements into scalable data solutions
• Act as a bridge between technical and functional teams

What We’re Looking For

Must-Have Experience

• Proven experience in Data Architecture or Senior Data Engineering roles
• Strong background in designing end-to-end data pipelines
• Experience with data modeling for analytics (fact/dimension, semantic layers)
• Experience integrating multiple systems (ERP, APIs, internal platforms)
• Proficiency in SQL and Python (or similar modern data tooling)
• Solid understanding of data warehousing and modern data architectures

Nice to Have

• Experience with orchestration tools (e.g., Airflow, Dagster, or similar)
• Familiarity with columnar databases (e.g., ClickHouse, Snowflake, BigQuery)
• Experience working with BI tools such as Looker
• Exposure to API-based data ingestion and semi-structured data (JSON)

How to Stand Out

Candidates who stand out will be able to clearly articulate:

• A data platform or architecture they have designed
• How they integrated multiple systems into a unified model
• How they enabled BI or analytics through data modeling

Your Hiring Journey

✅ Screening Call – Introductory chat with our recruiter
✅ Technical Interviews (1-2 rounds, depending on the project) – Discuss your skills with our experienced Capco colleagues
✅ Feedback & Offer – Receive an offer to join our team!

Why Capco? Because You Matter.

At Capco, we prioritize your career growth and well-being. You will have a personal coach to support your development and a flat hierarchy that encourages you to share and implement your ideas. Plus, our team events, sports activities, and networking opportunities help you stay connected and engaged beyond work.

Curious to learn more? Apply now – it only takes 5 minutes!

📩 Contact: Tomas Vanco – tomas.vanco@capco.com
💻 Connect on LinkedIn: Tomas Vanco | LinkedIn

#fulltime 

Shape the Future of Financial Services with Capco

At Capco, we specialize in management consulting and software development, partnering with leading international banks and insurance companies across Western Europe. Our innovative approach and collaborative culture make us the ideal place for professionals looking to make an impact in financial services technology.

Want to learn more about our culture and people? Visit us: Capco Careers Slovakia

Why Join Us?

• Continuous Learning & Development – Access to technical and soft skills training, professional certifications, and full access to the Udemy online learning platform.
• Flexible Work Environment – we provide flexibility to work remotely from the home office within Czech Republic
• Attractive Benefits Package:
  ✅ Paid sick days
  ✅ 25 vacation days (regardless of age)
  ✅ Cafeteria provided by the Benefits plus services
  ✅ Fully paid meal vouchers
  ✅ Smartphone with 1TB data + Laptop
• Well-being & Community Engagement – mental health webinars, running challenges, sports activities, multisport card or participate in our volunteering days.
• Long-term career – Indefinite period contract with opportunities for career growth.

About the Role

We are building a modern enterprise data platform to support our next phase of digital transformation, including SAP integration, internal application evolution, and advanced BI capabilities.

We are seeking a Data Platform & Architecture Lead to design, own, and evolve how data flows across our organization. This role is focused on data architecture, integration, modeling and database administration.

You will play a critical role in establishing a scalable, well-governed data foundation that enables consistent reporting, operational insights, and future AI capabilities.

What You’ll Do

1. Own Enterprise Data Architecture

• Design and maintain the end-to-end data architecture across systems
• Define canonical data models that unify data from SAP, internal applications, and financial systems
• Establish standards for data structure, naming, and consistency

2. Design Data Pipelines & Orchestration

• Architect and oversee data pipelines and transformation layers
• Work with our internal ETL/orchestration platform to manage data flows
• Ensure scalability, reliability, and observability of pipelines

3. Lead Multi-System Integration

• Integrate data across:

• SAP
• Internal applications (Sales, Performance, Resourcing)
• Financial planning tools (e.g., Anaplan)

• Resolve inconsistencies and define a single source of truth

4. Enable BI & Analytics

• Design analytics-ready data models (fact/dimension structures)
• Partner with BI teams (Looker) to ensure consistent, scalable reporting
• Support metric standardization across the organization

5. Drive Data Strategy & Maturity

• Assess current data landscape and define a data maturity roadmap
• Introduce best practices in:

• Data governance
• Data quality
• Data lifecycle management

6. Collaborate Across Teams

• Work closely with Engineering, BI, and Business stakeholders
• Translate business requirements into scalable data solutions
• Act as a bridge between technical and functional teams

What We’re Looking For

Must-Have Experience

• Proven experience in Data Architecture or Senior Data Engineering roles
• Strong background in designing end-to-end data pipelines
• Experience with data modeling for analytics (fact/dimension, semantic layers)
• Experience integrating multiple systems (ERP, APIs, internal platforms)
• Proficiency in SQL and Python (or similar modern data tooling)
• Solid understanding of data warehousing and modern data architectures

Nice to Have

• Experience with orchestration tools (e.g., Airflow, Dagster, or similar)
• Familiarity with columnar databases (e.g., ClickHouse, Snowflake, BigQuery)
• Experience working with BI tools such as Looker
• Exposure to API-based data ingestion and semi-structured data (JSON)

How to Stand Out

Candidates who stand out will be able to clearly articulate:

• A data platform or architecture they have designed
• How they integrated multiple systems into a unified model
• How they enabled BI or analytics through data modeling

Your Hiring Journey

✅ Screening Call – Introductory chat with our recruiter
✅ Technical Interviews (1-2 rounds, depending on the project) – Discuss your skills with our experienced Capco colleagues
✅ Feedback & Offer – Receive an offer to join our team!

Why Capco? Because You Matter.

At Capco, we prioritize your career growth and well-being. You will have a personal coach to support your development and a flat hierarchy that encourages you to share and implement your ideas. Plus, our team events, sports activities, and networking opportunities help you stay connected and engaged beyond work.

Curious to learn more? Apply now – it only takes 5 minutes!

📩 Contact: Tomas Vanco – tomas.vanco@capco.com
💻 Connect on LinkedIn: Tomas Vanco | LinkedIn

#fulltime 

Shape the Future of Financial Services with Capco

At Capco, we specialize in management consulting and software development, partnering with leading international banks and insurance companies across Western Europe. Our innovative approach and collaborative culture make us the ideal place for professionals looking to make an impact in financial services technology.

Want to learn more about our culture and people? Visit us: Capco Careers Slovakia

Why Join Us?

• Continuous Learning & Development – Access to technical and soft skills training, professional certifications, and full access to the Udemy online learning platform.
• Flexible Work Environment – we provide flexibility to work remotely from the home office within Czech Republic
• Attractive Benefits Package:
  ✅ Paid sick days
  ✅ 25 vacation days (regardless of age)
  ✅ Cafeteria provided by the Benefits plus services
  ✅ Fully paid meal vouchers
  ✅ Smartphone with 1TB data + Laptop
• Well-being & Community Engagement – mental health webinars, running challenges, sports activities, multisport card or participate in our volunteering days.
• Long-term career – Indefinite period contract with opportunities for career growth.

About the Role

We are building a modern enterprise data platform to support our next phase of digital transformation, including SAP integration, internal application evolution, and advanced BI capabilities.

We are seeking a Data Platform & Architecture Lead to design, own, and evolve how data flows across our organization. This role is focused on data architecture, integration, modeling and database administration.

You will play a critical role in establishing a scalable, well-governed data foundation that enables consistent reporting, operational insights, and future AI capabilities.

What You’ll Do

1. Own Enterprise Data Architecture

• Design and maintain the end-to-end data architecture across systems
• Define canonical data models that unify data from SAP, internal applications, and financial systems
• Establish standards for data structure, naming, and consistency

2. Design Data Pipelines & Orchestration

• Architect and oversee data pipelines and transformation layers
• Work with our internal ETL/orchestration platform to manage data flows
• Ensure scalability, reliability, and observability of pipelines

3. Lead Multi-System Integration

• Integrate data across:

• SAP
• Internal applications (Sales, Performance, Resourcing)
• Financial planning tools (e.g., Anaplan)

• Resolve inconsistencies and define a single source of truth

4. Enable BI & Analytics

• Design analytics-ready data models (fact/dimension structures)
• Partner with BI teams (Looker) to ensure consistent, scalable reporting
• Support metric standardization across the organization

5. Drive Data Strategy & Maturity

• Assess current data landscape and define a data maturity roadmap
• Introduce best practices in:

• Data governance
• Data quality
• Data lifecycle management

6. Collaborate Across Teams

• Work closely with Engineering, BI, and Business stakeholders
• Translate business requirements into scalable data solutions
• Act as a bridge between technical and functional teams

What We’re Looking For

Must-Have Experience

• Proven experience in Data Architecture or Senior Data Engineering roles
• Strong background in designing end-to-end data pipelines
• Experience with data modeling for analytics (fact/dimension, semantic layers)
• Experience integrating multiple systems (ERP, APIs, internal platforms)
• Proficiency in SQL and Python (or similar modern data tooling)
• Solid understanding of data warehousing and modern data architectures

Nice to Have

• Experience with orchestration tools (e.g., Airflow, Dagster, or similar)
• Familiarity with columnar databases (e.g., ClickHouse, Snowflake, BigQuery)
• Experience working with BI tools such as Looker
• Exposure to API-based data ingestion and semi-structured data (JSON)

How to Stand Out

Candidates who stand out will be able to clearly articulate:

• A data platform or architecture they have designed
• How they integrated multiple systems into a unified model
• How they enabled BI or analytics through data modeling

Your Hiring Journey

✅ Screening Call – Introductory chat with our recruiter
✅ Technical Interviews (1-2 rounds, depending on the project) – Discuss your skills with our experienced Capco colleagues
✅ Feedback & Offer – Receive an offer to join our team!

Why Capco? Because You Matter.

At Capco, we prioritize your career growth and well-being. You will have a personal coach to support your development and a flat hierarchy that encourages you to share and implement your ideas. Plus, our team events, sports activities, and networking opportunities help you stay connected and engaged beyond work.

Curious to learn more? Apply now – it only takes 5 minutes!

📩 Contact: Tomas Vanco – tomas.vanco@capco.com
💻 Connect on LinkedIn: Tomas Vanco | LinkedIn

#fulltime 

Shape the Future of Financial Services with Capco

At Capco, we specialize in management consulting and software development, partnering with leading international banks and insurance companies across Western Europe. Our innovative approach and collaborative culture make us the ideal place for professionals looking to make an impact in financial services technology.

Want to learn more about our culture and people? Visit us: Capco Careers Slovakia

Why Join Us?

• Prestigious Clients & Exciting Projects – Work with top-tier banks on transformation projects that redefine financial services.
• Continuous Learning & Development – Access to technical and soft skills training, professional certifications, and full access to the Udemy online learning platform.
• Flexible Work Environment – Work from our modern Bratislava office (Nivy Tower) or remotely from home.
• Attractive Benefits Package:
  ✅ Private health care & paid sick days
  ✅ 25 vacation days (regardless of age)
  ✅ Monthly cafeteria allowance (€50/month) or contribution to the 3rd pillar
  ✅ Fully paid meal vouchers
  ✅ Smartphone with 1TB data + Laptop
  ✅ Relaxing office environment: Fresh fruit, game room (PS4, table football), pet-friendly space
• Well-being & Community Engagement – Join yoga lessons, mental health webinars, running challenges, sports activities, or participate in our volunteering days.
• Competitive Compensation – Starting from € 3,400/month (adjusted based on experience) + annual bonus & benefits package.
• Long-term career – Indefinite period contract with opportunities for career growth.

About the Role

We are building a modern enterprise data platform to support our next phase of digital transformation, including SAP integration, internal application evolution, and advanced BI capabilities.

We are seeking a Data Platform & Architecture Lead to design, own, and evolve how data flows across our organization. This role is focused on data architecture, integration, modeling and database administration.

You will play a critical role in establishing a scalable, well-governed data foundation that enables consistent reporting, operational insights, and future AI capabilities.

What You’ll Do

1. Own Enterprise Data Architecture

• Design and maintain the end-to-end data architecture across systems
• Define canonical data models that unify data from SAP, internal applications, and financial systems
• Establish standards for data structure, naming, and consistency

2. Design Data Pipelines & Orchestration

• Architect and oversee data pipelines and transformation layers
• Work with our internal ETL/orchestration platform to manage data flows
• Ensure scalability, reliability, and observability of pipelines

3. Lead Multi-System Integration

• Integrate data across:

• SAP
• Internal applications (Sales, Performance, Resourcing)
• Financial planning tools (e.g., Anaplan)

• Resolve inconsistencies and define a single source of truth

4. Enable BI & Analytics

• Design analytics-ready data models (fact/dimension structures)
• Partner with BI teams (Looker) to ensure consistent, scalable reporting
• Support metric standardization across the organization

5. Drive Data Strategy & Maturity

• Assess current data landscape and define a data maturity roadmap
• Introduce best practices in:

• Data governance
• Data quality
• Data lifecycle management

6. Collaborate Across Teams

• Work closely with Engineering, BI, and Business stakeholders
• Translate business requirements into scalable data solutions
• Act as a bridge between technical and functional teams

What We’re Looking For

Must-Have Experience

• Proven experience in Data Architecture or Senior Data Engineering roles
• Strong background in designing end-to-end data pipelines
• Experience with data modeling for analytics (fact/dimension, semantic layers)
• Experience integrating multiple systems (ERP, APIs, internal platforms)
• Proficiency in SQL and Python (or similar modern data tooling)
• Solid understanding of data warehousing and modern data architectures

Nice to Have

• Experience with orchestration tools (e.g., Airflow, Dagster, or similar)
• Familiarity with columnar databases (e.g., ClickHouse, Snowflake, BigQuery)
• Experience working with BI tools such as Looker
• Exposure to API-based data ingestion and semi-structured data (JSON)

How to Stand Out

Candidates who stand out will be able to clearly articulate:

• A data platform or architecture they have designed
• How they integrated multiple systems into a unified model
• How they enabled BI or analytics through data modeling

Your Hiring Journey

✅ Screening Call – Introductory chat with our recruiter
✅ Technical Interviews (1-2 rounds, depending on the project) – Discuss your skills with our experienced Capco colleagues
✅ Feedback & Offer – Receive an offer to join our team!

Why Capco? Because You Matter.

At Capco, we prioritize your career growth and well-being. You will have a personal coach to support your development and a flat hierarchy that encourages you to share and implement your ideas. Plus, our team events, sports activities, and networking opportunities help you stay connected and engaged beyond work.

Curious to learn more? Apply now – it only takes 5 minutes!

📩 Contact: Tomas Vanco – tomas.vanco@capco.com
💻 Connect on LinkedIn: Tomas Vanco | LinkedIn

#fulltime 

Shape the Future of Financial Services with Capco

At Capco, we specialize in management consulting and software development, partnering with leading international banks and insurance companies across Western Europe. Our innovative approach and collaborative culture make us the ideal place for professionals looking to make an impact in financial services technology.

Want to learn more about our culture and people? Visit us: Capco Careers Slovakia

Why Join Us?

• Continuous Learning & Development – Access to technical and soft skills training, professional certifications, and full access to the Udemy online learning platform.
• Flexible Work Environment – Work from our modern Bratislava office (Nivy Tower) or remotely from home.
• Attractive Benefits Package:
  ✅ Private health care & paid sick days
  ✅ 25 vacation days (regardless of age)
  ✅ Monthly cafeteria allowance (€50/month) or contribution to the 3rd pillar
  ✅ Fully paid meal vouchers
  ✅ Smartphone with 1TB data + Laptop
  ✅ Relaxing office environment: Fresh fruit, game room (PS4, table football), pet-friendly space
• Well-being & Community Engagement – Join yoga lessons, mental health webinars, running challenges, sports activities, or participate in our volunteering days.
• Competitive Compensation – Starting from € 3,400/month (adjusted based on experience) + annual bonus & benefits package.
• Long-term career – Indefinite period contract with opportunities for career growth.

About the Role

We are building a modern enterprise data platform to support our next phase of digital transformation, including SAP integration, internal application evolution, and advanced BI capabilities.

We are seeking a Data Platform & Architecture Lead to design, own, and evolve how data flows across our organization. This role is focused on data architecture, integration, modeling and database administration.

You will play a critical role in establishing a scalable, well-governed data foundation that enables consistent reporting, operational insights, and future AI capabilities.

What You’ll Do

1. Own Enterprise Data Architecture

• Design and maintain the end-to-end data architecture across systems
• Define canonical data models that unify data from SAP, internal applications, and financial systems
• Establish standards for data structure, naming, and consistency

2. Design Data Pipelines & Orchestration

• Architect and oversee data pipelines and transformation layers
• Work with our internal ETL/orchestration platform to manage data flows
• Ensure scalability, reliability, and observability of pipelines

3. Lead Multi-System Integration

• Integrate data across:

• SAP
• Internal applications (Sales, Performance, Resourcing)
• Financial planning tools (e.g., Anaplan)

• Resolve inconsistencies and define a single source of truth

4. Enable BI & Analytics

• Design analytics-ready data models (fact/dimension structures)
• Partner with BI teams (Looker) to ensure consistent, scalable reporting
• Support metric standardization across the organization

5. Drive Data Strategy & Maturity

• Assess current data landscape and define a data maturity roadmap
• Introduce best practices in:

• Data governance
• Data quality
• Data lifecycle management

6. Collaborate Across Teams

• Work closely with Engineering, BI, and Business stakeholders
• Translate business requirements into scalable data solutions
• Act as a bridge between technical and functional teams

What We’re Looking For

Must-Have Experience

• Proven experience in Data Architecture or Senior Data Engineering roles
• Strong background in designing end-to-end data pipelines
• Experience with data modeling for analytics (fact/dimension, semantic layers)
• Experience integrating multiple systems (ERP, APIs, internal platforms)
• Proficiency in SQL and Python (or similar modern data tooling)
• Solid understanding of data warehousing and modern data architectures

Nice to Have

• Experience with orchestration tools (e.g., Airflow, Dagster, or similar)
• Familiarity with columnar databases (e.g., ClickHouse, Snowflake, BigQuery)
• Experience working with BI tools such as Looker
• Exposure to API-based data ingestion and semi-structured data (JSON)

How to Stand Out

Candidates who stand out will be able to clearly articulate:

• A data platform or architecture they have designed
• How they integrated multiple systems into a unified model
• How they enabled BI or analytics through data modeling

Your Hiring Journey

✅ Screening Call – Introductory chat with our recruiter
✅ Technical Interviews (1-2 rounds, depending on the project) – Discuss your skills with our experienced Capco colleagues
✅ Feedback & Offer – Receive an offer to join our team!

Why Capco? Because You Matter.

At Capco, we prioritize your career growth and well-being. You will have a personal coach to support your development and a flat hierarchy that encourages you to share and implement your ideas. Plus, our team events, sports activities, and networking opportunities help you stay connected and engaged beyond work.

Curious to learn more? Apply now – it only takes 5 minutes!

📩 Contact: Tomas Vanco – tomas.vanco@capco.com
💻 Connect on LinkedIn: Tomas Vanco | LinkedIn

#fulltime 

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.

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

The Data Pipeline team is a backend-focused engineering team that is built on strong DevOps principles. We believe in autonomy, and we trust data. As the team grows we need to support it by onboarding another DevOps/SRE to pair with our existing one to form an effective duo helping the team to accelerate. We work remotely first, but we are more than happy to meet you in our nice office in Bratislava, Brno or Prague. Salary range starting from 4 200 EUR gross per month, going up depending on your experience and skills. And if you are interested in who will be your engineering manager, check out Vaclav's Linkedin.

Intrigued? Read on 🙂…

Your responsibilities

• Your task is to build and maintain an ecosystem where engineers can safely and efficiently develop, debug and operate their services running in GCP, Kubernetes using DataFlow, DataProc and Python with Go
• You make sure the services have high level of observability, enabling us to provide quality service for our customers
• Further services can scale vertically and horizontally based on current load, operational and telemetric data (OTEL, Prometheus, Victoria Metrics) 
• Team have enough insights about health of our services (Grafana, Alerting, PageDuty)
• You helps the team to fulfill security requirements given ISO and SOC2 audits, by enforce security principles like key distribution, key rotation, authorisation & authentication on service level, data encryption at transit, data isolation, resource limitations, quality of service, audit logs (mainly by Enovy proxies)
• You contribute to our tooling, so we have tools in place for debugging, troubleshoot and performance testing
• You automate manual/semi-manual steps deployment and instance setup
• You have hands on on L3 support and incident resolutions
• CI pipelines have linters, security scans, code smell detection enabling engineers to produce quality MRs

Your qualifications

Impact: 

• You can articulate how your contributions have transformed the way engineers work and think by fostering a strong DevOps/SRE culture.
• You can demonstrate how impactful your work as an SRE or DevOps Engineer can be in connection to business success

Ownership: 

• You understand the importance of you build - you run it principle and you love the feeling you own it
• You are mindful of the costs associated with running our service, which translates into effective vertical and horizontal pod autoscaling and detailed telemetry insights.

Systematic approach: 

• You believe the infrastructure as a code is the only thing that can bring stability into chaos 
• Terraform is your daily bread, and HELM deployments are your second-best friend

Data-driven:

• You use telemetry data and metrics to provide feedback to engineers on how the application and services behave
• You can navigate yourself in complex service architecture by using distributed debugging

Technical skills: 

• You have experience with Python and a solid grasp of engineering practices
• A big advantage is, if you have an experience with Go, or with ETL pipelines

You don’t hesitate to participate in OnCall rotation 24/7 support

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, BigQuery, BigLake Table
• Open formats IceBerg, Avro, Parquet
• DataFlow, Apache Beam, DataProc, Spark, 
• 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 start contributing to team’s L3 rotation, troubleshooting, debugging that should let you better understand what is what and perhaps also to come with fresh ideas on how to improve our services and monitoring.
• During the first 180 days, you’ll become an integral part of the team by actively contributing to the team's projects as well as to onCall rotation. 

Finally, you’ll find out that our values are truly lived by us 💛. We are dreamers and builders. Join us!

#LI-KP1

The Data Pipeline team is a backend-focused engineering team that is built on strong DevOps principles. We believe in autonomy, and we trust data. As the team grows we need to support it by onboarding another DevOps/SRE to pair with our existing one to form an effective duo helping the team to accelerate. We work remotely first, but we are more than happy to meet you in our nice office 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

• Your task is to build and maintain an ecosystem where engineers can safely and efficiently develop, debug and operate their services running in GCP, Kubernetes using DataFlow, DataProc and Python with Go
• You make sure the services have high level of observability, enabling us to provide quality service for our customers
• Further services can scale vertically and horizontally based on current load, operational and telemetric data (OTEL, Prometheus, Victoria Metrics) 
• Team have enough insights about health of our services (Grafana, Alerting, PageDuty)
• You helps the team to fulfill security requirements given ISO and SOC2 audits, by enforce security principles like key distribution, key rotation, authorisation & authentication on service level, data encryption at transit, data isolation, resource limitations, quality of service, audit logs (mainly by Enovy proxies)
• You contribute to our tooling, so we have tools in place for debugging, troubleshoot and performance testing
• You automate manual/semi-manual steps deployment and instance setup
• You have hands on on L3 support and incident resolutions
• CI pipelines have linters, security scans, code smell detection enabling engineers to produce quality MRs

Your qualifications

Impact: 

• You can articulate how your contributions have transformed the way engineers work and think by fostering a strong DevOps/SRE culture.
• You can demonstrate how impactful your work as an SRE or DevOps Engineer can be in connection to business success

Ownership: 

• You understand the importance of you build - you run it principle and you love the feeling you own it
• You are mindful of the costs associated with running our service, which translates into effective vertical and horizontal pod autoscaling and detailed telemetry insights.

Systematic approach: 

• You believe the infrastructure as a code is the only thing that can bring stability into chaos 
• Terraform is your daily bread, and HELM deployments are your second-best friend

Data-driven:

• You use telemetry data and metrics to provide feedback to engineers on how the application and services behave
• You can navigate yourself in complex service architecture by using distributed debugging

Technical skills: 

• You have experience with Python and a solid grasp of engineering practices
• A big advantage is, if you have an experience with Go, or with ETL pipelines

You don’t hesitate to participate in OnCall rotation 24/7 support

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, BigQuery, BigLake Table
• Open formats IceBerg, Avro, Parquet
• DataFlow, Apache Beam, DataProc, Spark, 
• 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 start contributing to team’s L3 rotation, troubleshooting, debugging that should let you better understand what is what and perhaps also to come with fresh ideas on how to improve our services and monitoring.
• During the first 180 days, you’ll become an integral part of the team by actively contributing to the team's projects as well as to onCall rotation. 

Finally, you’ll find out that our values are truly lived by us 💛. We are dreamers and builders. Join us!

#LI-KP1

We’re currently expanding our Bloomreach Engagement Support Team, and we’re looking for a new colleague to join as an Associate Product Support Specialist - working during US business hours / EMEA business hours. We offer remote work from Czechia or Slovakia, with optional office space in Bratislava, Brno, or Prague. Are you up for the challenge?

We’re currently expanding our Bloomreach Engagement Support Team, and we’re looking for a new colleague to join as an Associate Product Support Specialist - working during US business hours / EMEA working hours. We offer remote work from Czechia or Slovakia, with optional office space in Bratislava, Brno, or Prague. The salary starts from €1 800 gross per month for Slovakia. Are you up for the challenge?