The Security Incident Response Engineer is responsible for detecting, investigating, containing, eradicating, and recovering from cybersecurity incidents across Acrisure's global environment. This role serves as a key member of the Security Operations team and works closely with Infrastructure, Cloud, Identity, Workplace Technology, Legal, Privacy, Human Resources, and business stakeholders to rapidly respond to security threats and reduce organizational risk.
Responsibilities
Investigate and respond to cybersecurity incidents involving endpoints, identities, cloud platforms, email systems, applications, data, and network infrastructure.
Applied AI Engineer to contribute to transformative AI-enabled delivery across clients' projects, focusing on building agentic workflows and integrating AI with client data and systems.
Responsibilities
Design, build and deploy AI-enabled solutions from discovery through to production
Deploy and operate AI solutions on Microsoft Azure
Develop agentic and multi-step workflows, including orchestration and multi-agent patterns
Build and maintain Model Context Protocol (MCP) servers and tool interfaces
Integrate diverse data sources into reliable, tested pipelines
Maintain and strengthen cloud ecosystem supporting Clearer, Boost Commerce, REVIEWS.io, and Influence, ensuring high reliability for global merchants while empowering engineering teams to deploy faster and safer.
Responsibilities
Implement and manage Infrastructure-as-Code using Amazon CDK and Terraform
Assist in automating cloud infrastructure provisioning and configuration management
Improve monitoring, logging, and alerting for system reliability
Support deployments and optimize container orchestration in Kubernetes (EKS) & ECS
Participate in root cause analysis and resolution of system issues
Requirements
Bachelor’s degree in Computer Science, Engineering, or equivalent
Nice to have: Shopify experience
Nice to have: AI assistants (Claude, GitHub Copilot)
A passionate student to help bring AI solutions to life on dedicated embedded HW, for ADAS use cases targeting mobile platforms such as passenger cars, trucks or motorcycles.
Locations (4)
Cluj-Napoca, Cluj County, Romania
Jucu, Romania
Bucharest, Bucharest, Romania
Sibiu, Sibiu County, Romania
Responsibilities
Develop / update / maintain various AI / Computer vision component runnables and associated logic
Develop / update / maintain various AI “glue” code for inference / post-processing of AI models / CV algos
Generate and analyze performance of various AI models / CV algos in terms of semantic KPIs
Build and optimize ETL workflows using Knime for data extraction, transformation, and loading from various sources, and create interactive dashboards using Power BI or Tableau.
Responsibilities
Build and optimize ETL workflows using Knime for data extraction, transformation, and loading from various sources (databases, APIs, flat files, cloud services)
Use Knime nodes for data cleaning, preprocessing, and transformation
Integrate data from relational, NoSQL databases, and cloud platforms (AWS, Azure, Google Cloud)
Create interactive dashboards and reports using Power BI or Tableau to visualize key business insights
Automate workflows using Knime Server, and optimize ETL processes for performance and scalability
Design, build, and maintain the data pipelines and models powering Manufacturing Intelligence data lakehouse.
Compensation
$68 - $78/hr.
Responsibilities
Build batch and streaming ingestion into Delta Lake using Auto Loader, Lakeflow Declarative Pipelines, Lakeflow Connect, or Structured Streaming, including CDC feeds from AWS DMS and SAP SLT
Design and maintain bronze, silver, and gold (medallion) layers that follow MOPS naming conventions and data dictionary standards
Build incremental dbt models on Databricks (dbt-databricks), using MERGE and upsert patterns, SCD Type 2, and handling for late or out-of-order records
Model manufacturing data for analytics, such as a single source of truth per unit (SFC), work orders, nonconformances, station results, and first-pass yield, and feed the semantic layer used by analysts
Process large and semi-structured data, such as JSON test payloads, using PySpark and Databricks SQL
Requirements
Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field
Nice to have: Databricks Certified Data Engineer Associate or Professional
Nice to have: AWS certification (Solutions Architect Associate)
You will play a leading role in improving data and analytics products and in creating new products and capabilities.
Compensation
RATE RANGE: $125k - $150k
Responsibilities
Invent new solutions for our clients. You will model and optimize the connections and causal relationships that run from an ad's creative all the way to a customer's lifetime value.
Take models from concept to production, then monitor and improve them as client data and ad platforms change.
Work with large, multi-source datasets including real time event data, system of record data, click and spend data, and analytics metadata.
Review model outputs and metrics critically, and catch results that don't add up: unexpected shifts, implausible values, data gaps, leakage or broken assumptions. Then fix or improve the data, logic or models.
Build, test and evaluate machine learning models for attribution, prediction, and optimization.
Requirements
Master’s or Ph.D. in a quantitative discipline (Data Science, Computer Science, Engineering, Statistics, Mathematics, or a natural science)
Bachelor's degree with 7+ years of relevant applied experience
Nice to have: marketing data
Nice to have: ad platforms such as Google Ads and Meta Ads
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