Project Description

We are looking for an experienced Data Engineer with deep expertise in Databricks to join our advanced analytics and data engineering team. The ideal candidate will play a key role in designing, building, and optimizing large-scale data solutions on the Databricks platform, supporting business intelligence, advanced analytics, and machine learning initiatives. You will collaborate with cross-functional teams to deliver robust, scalable, and high-performance data pipelines and architectures.

Technologies

• Databricks (including Spark, Delta Lake, MLflow)
• Python/Scala
• SQL
• ETL concepts
• Distributed data processing
• Data warehousing
• Cloud Platforms & Storage

What You'll Do

• Lead the design, development, and deployment of scalable data pipelines and ETL processes using Databricks (Spark, Delta Lake, MLflow);
• Architect and implement data lakehouse solutions, ensuring data quality, governance, and security;
• Optimize data workflows for performance and cost efficiency on Databricks and cloud platforms (Azure, AWS, or GCP);
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver actionable insights;
• Mentor and guide junior engineers, promoting best practices in data engineering and Databricks usage;
• Develop and maintain documentation, data models, and technical standards;
• Monitor, troubleshoot, and resolve issues in production data pipelines and environments;
• Stay current with emerging trends and technologies in data engineering and Databricks ecosystem;

Job Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field;
• 5+ years of experience in data engineering, with at least 2 years of hands-on experience with Databricks (including Spark, Delta Lake, and MLflow);
• Strong proficiency in Python and/or Scala for data processing;
• Deep understanding of distributed data processing, data warehousing, and ETL concepts;
• Experience with cloud data platforms (Azure Data Lake, AWS S3, or Google Cloud Storage);
• Solid knowledge of SQL and experience with large-scale relational and NoSQL databases;
• Familiarity with CI/CD, DevOps, and infrastructure-as-code practices for data engineering;
• Experience with data governance, security, and compliance in cloud environments;
• Excellent problem-solving, communication, and leadership skills;
• English: Upper Intermediate level or higher;

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

Sep 25, 2025 12:50

Why Kimchi?

Kimchi is the AI platform inside CAST AI. We started by helping companies run LLMs on their own Kubernetes clusters - now we're building the execution layer where agents do real work.

Our Infrastructure today: multi-model inference (MiniMax, Kimi, GLM-5, Nemotron, DeepSeek) with intelligent routing, an OpenAI-compatible API, and deployment flexibility from our GPUs to your VPC. The inference layer is the foundation. What we're hiring for sits on top of it: coding agents, agent runtimes, orchestration systems, and the reliability engineering that makes them actually finish things.

Tech Stack: TypeScript, Go, Kubernetes, AWS/GCP/Azure, MCP, Prometheus/Grafana/Loki, GitLab CI, ArgoCD.

Why harness engineering matters here
OpenAI and Anthropic ship models. They also ship one harness each - the scaffolding that turns a raw model into something that can plan, execute, recover, and complete work. We ship a different kind of harness: one built for cost-conscious, long-horizon autonomy, running on inference infrastructure we control end-to-end.
A decent model with a great harness beats a great model with a bad harness. We've watched this play out. The gap between what today's models can do and what you see them doing is largely a harness gap - and that gap is where we operate.

What you'll build
The ratchet.
Every time our agent makes a mistake, we engineer a solution so it never makes that mistake again. That means hooks that enforce constraints the model "knows" but forgets: pre-commit lint checks, permission gates, context compaction before the window fills. Success is silent, failures are verbose.

Long-horizon execution.
Our harness is built around spec-driven autonomy: meta-prompting, fresh context per task, worktree-per-slice git strategy, automatic replanning, crash recovery, stuck detection. We're implementing Ralph loops - when the model tries to exit, we intercept and reinject the goal into a fresh context. The agent reads state from disk and continues. Multi-session, multi-day work, without context rot.

Planner/executor splits.
Planning with a reasoning model, executing with a fast one, evaluating with a third. Separating generation from evaluation beats self-verification because agents reliably skew positive when grading their own work.

The harness surface.
CLI, TUI, MCP integration, sandboxed execution, telemetry. Our AGENTS.md is short - every line traces to a specific thing that went wrong. TypeScript on the surface, Go where it matters.

Memory and context.
Moving agents off laptops, giving them state that survives across sessions, managing context so information lands where it's actionable. Compaction, tool-call offloading, progressive skill disclosure.

What makes this different (with receipts)
You've seen the pitch: "we route to the best model." Everyone says that. Here's what we actually have:

• GPU infrastructure we own. Not just an API reseller. From GPU placement across clouds to the inference endpoint your agent calls - we control the cost curve.
• A harness-first thesis. We treat agent failures as configuration problems, not model problems. When we moved from a stock harness to our own, completion rates on internal benchmarks improved by 40%+ on the same model.
• Agents.md that earns every line. No brainstormed rules - every constraint in our system prompt traces to a real failure we saw and fixed.

Requirements:

• You've used AI coding agents in anger. Not demos - real work. You have opinions about Claude Code, Codex, OpenCode, Cursor. You know what it feels like when an agent gets stuck and why.
• Strong TypeScript or Go in production. Comfort moving between them. Our surface is TypeScript; our core is Go.
• You think in harness terms. You read "the agent hallucinated" and your first instinct is to ask what context it was missing, what hook should have caught it, what constraint should exist.
• You drive features end-to-end. Design → build → ship → measure → iterate. We don't have layers that absorb ambiguity for you.

Responsibilities:

• Build and evolve the agent harness - ship hooks, permission gates, and context compaction. Every AGENTS.md constraint traces to a failure you personally diagnosed.
• Own long-horizon execution - multi-session task completion via spec-driven prompting, worktree-per-slice git, Ralph loop recovery, and stuck detection. Completion rate is your metric.
• Architect planner/executor/evaluator pipelines - planning with a reasoning model, execution with a fast one, evaluation with a third. No self-verification.
• Manage agent memory and context - state persistence across sessions, context compaction, tool-call offloading. Zero context rot on multi-day work.
• Own the harness surface - CLI, TUI, MCP integrations, sandboxed execution, telemetry. TypeScript on the surface, Go where it matters.

What success looks like (after 6 months):

• You've shipped at least one major harness feature end-to-end: designed it, built it, measured it, iterated.
• You've added constraints to our AGENTS.md based on failures you personally observed and diagnosed.
• You've improved a measurable reliability metric - completion rate, context efficiency, or cost per successful task.
• You've formed strong opinions about where our harness is load-bearing and where it's dead weight.

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.

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.

*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

As a Senior DevOps Engineer, you will play a pivotal role in designing and operating highly available, scalable, and secure cloud platforms that power real-world applications.

This role focuses on building automation-first ecosystems, promoting DevOps culture, and ensuring engineering practices align with long-term business impact. You will work closely with customers and cross-functional teams to transform requirements into resilient, production-grade infrastructure.

This position requires strong ownership, strategic thinking, and a passion for continuous improvement.

Requirements

• 5+ years of hands-on experience in DevOps and Cloud Engineering roles
• Advanced expertise in Kubernetes, including managed cloud platforms (EKS, GKE, AKS) and on-premise environments
• Strong proficiency in Infrastructure as Code (IaC) using Terraform and/or AWS CloudFormation
• Proven experience designing highly available, fault-tolerant, and scalable architectures on AWS
• Experience building and managing CI/CD pipelines (GitHub Actions, Argo CD, Jenkins)
• Hands-on experience with monitoring and observability tools (Prometheus, Grafana, ELK stack)
• Strong understanding of cloud security best practices
• Excellent analytical and problem-solving skills
• Experience mentoring team members and contributing to team growth

Responsibilities

• Design, deploy, and operate enterprise-grade platforms across cloud and on-prem environments
• Optimize infrastructure based on AWS Well-Architected principles
• Implement and manage Infrastructure as Code using Terraform or CloudFormation
• Build and maintain monitoring and logging systems (Prometheus, Grafana, ELK)
• Improve system reliability, security, and resilience
• Proactively diagnose and resolve production issues
• Promote DevOps best practices and continuous improvement
• Mentor engineers through coaching and knowledge sharing
• Translate business needs into scalable and sustainable technical solutions
• Align platform strategies with organizational goals

Nice to Have

• Experience leading teams in customer-facing environments
• Exposure to AI-driven DevOps or LLMOps
• AWS Professional certifications (Solutions Architect, DevOps Engineer)
• Kubernetes certifications (CKA, CKAD)
• HashiCorp Terraform Associate certification

What’s In It for You

• Ownership of impactful cloud and platform initiatives
• Work alongside high-performing engineers in a collaborative environment
• Exposure to enterprise-scale customer projects
• Opportunities to lead through expertise and drive impact through execution

The Product Launch team is built for people who don’t just maintain systems but create them. We take products from zero to hero, and scale them until they’re strong enough to be handed over to core teams. No legacy constraints. No endless support cycles. Just greenfield builds, modern tech, and real ownership from day one.  

We move fast, think lean, and execute with focus, one product at a time, full commitment, full impact. Every sprint matter, every decision ship value. This is not a support team. It’s a build-from-scratch engine for products that matter, because every hero needs a superhero.

RESPONSIBILITIES  

• Technical Quality Ownership - Set and enforce technical standards for code quality, testing practices, deployment procedures, and observability across all teams. Ensure deliverables consistently meet company and industry standards  
• Security & Compliance - Champion security best practices in application design and delivery. Drive secure coding standards, dependency management, and vulnerability remediation across the development lifecycle
• Technology Decisions - Drive and consult on technology choices in collaboration with the Architect and engineering teams. Evaluate new tools, frameworks, and patterns with a clear focus on efficiency, maintainability, and long-term sustainability
• Architecture & Design Guidance - Review and guide system designs, API contracts, data models, and integration patterns. Ensure business requirements are implemented following sound architectural principles and established standards
• Hands-On Engineering - Stay deeply hands-on with production code. Lead by example in modern Java (21/25), Spring Boot 3/4, PHP, Laravel, NodeJS, Kafka Streams, and cloud-native microservices. Conduct in-depth code reviews and contribute to critical path development
• Observability & Operational Excellence - Define and drive observability standards (metrics, logging, tracing, alerting) to ensure production systems are transparent, diagnosable, and reliable
• Technology Adoption - Drive the adoption of new technologies and practices across teams. Build proof-of-concepts, define migration paths, and ensure smooth rollouts with minimal disruption
• Cross-Team Collaboration - Act as the technical mediator between Java teams, Team Leads, the Architect, and business stakeholders. Translate business requirements into sound technical guidance and ensure alignment across all parties
• Knowledge Sharing - Foster a culture of technical excellence through design reviews, tech talks, documentation, and hands-on mentoring of senior engineers 

Employees may be required to participate in an on-call rotation, ensuring availability outside regular working hours to respond to urgent issues as needed as per the On call policy.  

REQUIREMENTS  

• Experience: 7+ years of hands-on backend development with strong expertise, including 2+ years in a technical leadership capacity (Tech Lead, Principal Engineer, or equivalent).  
• Technical Expertise:   
  • Deep knowledge of Java (21+), PHP or NodeJS concurrency, JVM internals, and performance characteristics  
  • Strong experience with building production-grade microservices  
  • Strong expertise with Kafka and Kafka Streams — event-driven architectures, stream processing, schema evolution, and exactly-once semantics  
  • Solid understanding of REST API design principles and synchronous integration patterns  
  • Hands-on experience with Kubernetes, GitOps (ArgoCD, Kustomize), and container orchestration  
  • Experience defining and implementing observability strategies (metrics, distributed tracing, structured logging, alerting)  
  • Strong understanding of application security practices, secure coding, and dependency management  
  • Solid database knowledge: relational and document databases, data modeling, and performance tuning  
• Soft Skills: Excellent communicator who can translate between technical and business language. Comfortable presenting ideas, challenging decisions constructively, and building consensus across teams.   
• Collaboration: Proven ability to work effectively with Architects, Team Leads, Product, and DevOps in a cross-functional environment.   
• Mindset: Ownership-driven, pragmatic, and passionate about engineering excellence. You care as much about maintainability and operational quality as you do about shipping features.   

NICE TO HAVE  

• Experience in iGaming, Sportsbook, or real-time transaction-heavy systems  
• CDC architectures (Debezium)  
• Redis or distributed caching strategies  
• Performance tuning and benchmarking (JMH, async-profiler, JFR)  
• Architecture patterns such as DDD, CQRS, or Event Sourcing  
• Contributions to open-source projects   

The Engineering Excellence Team is for engineers who build the systems that power everything else. No product tickets. No UI tweaks. No support loops. You’ll create the tools, standards, and frameworks that make every development team faster and stronger. 

This is deep technical work with massive impact - shaping architecture, unifying processes, and defining how engineering is done across the company. A place for senior engineers who want to build the backbone, not the features. This is not a product team. It’s a technical excellence engine for people who want to build the systems behind the systems - and elevate the whole company through world‑class engineering.   

RESPONSIBILITIES  

• Technical Quality Ownership - Set and enforce technical standards for code quality, testing practices, deployment procedures, and observability across all teams. Ensure deliverables consistently meet company and industry standards  
• Security & Compliance - Champion security best practices in application design and delivery. Drive secure coding standards, dependency management, and vulnerability remediation across the development lifecycle
• Technology Decisions - Drive and consult on technology choices in collaboration with the Architect and engineering teams. Evaluate new tools, frameworks, and patterns with a clear focus on efficiency, maintainability, and long-term sustainability
• Architecture & Design Guidance - Review and guide system designs, API contracts, data models, and integration patterns. Ensure business requirements are implemented following sound architectural principles and established standards
• Hands-On Engineering - Stay deeply hands-on with production code. Lead by example in modern Java (21/25), Spring Boot 3/4, PHP, Laravel, NodeJS, Kafka Streams, and cloud-native microservices. Conduct in-depth code reviews and contribute to critical path development
• Observability & Operational Excellence - Define and drive observability standards (metrics, logging, tracing, alerting) to ensure production systems are transparent, diagnosable, and reliable
• Technology Adoption - Drive the adoption of new technologies and practices across teams. Build proof-of-concepts, define migration paths, and ensure smooth rollouts with minimal disruption
• Cross-Team Collaboration - Act as the technical mediator between Java teams, Team Leads, the Architect, and business stakeholders. Translate business requirements into sound technical guidance and ensure alignment across all parties
• Knowledge Sharing - Foster a culture of technical excellence through design reviews, tech talks, documentation, and hands-on mentoring of senior engineers 

Employees may be required to participate in an on-call rotation, ensuring availability outside regular working hours to respond to urgent issues as needed as per the On call policy.  

REQUIREMENTS  

• Experience: 7+ years of hands-on backend development with strong expertise, including 2+ years in a technical leadership capacity (Tech Lead, Principal Engineer, or equivalent).  
• Technical Expertise:   
  • Deep knowledge of Java (21+), PHP or NodeJS concurrency, JVM internals, and performance characteristics   
  • Strong experience with building production-grade microservices   
  • Strong expertise with Kafka and Kafka Streams — event-driven architectures, stream processing, schema evolution, and exactly-once semantics   
  • Solid understanding of REST API design principles and synchronous integration patterns   
  • Hands-on experience with Kubernetes, GitOps (ArgoCD, Kustomize), and container orchestration   
  • Experience defining and implementing observability strategies (metrics, distributed tracing, structured logging, alerting)   
  • Strong understanding of application security practices, secure coding, and dependency management   
  • Solid database knowledge: relational and document databases, data modeling, and performance tuning  
• Soft Skills: Excellent communicator who can translate between technical and business language. Comfortable presenting ideas, challenging decisions constructively, and building consensus across teams.   
• Collaboration: Proven ability to work effectively with Architects, Team Leads, Product, and DevOps in a cross-functional environment.   
• Mindset: Ownership-driven, pragmatic, and passionate about engineering excellence. You care as much about maintainability and operational quality as you do about shipping features.   

NICE TO HAVE  

• Experience in iGaming, Sportsbook, or real-time transaction-heavy systems  
• CDC architectures (Debezium)  
• Redis or distributed caching strategies  
• Performance tuning and benchmarking (JMH, async-profiler, JFR)  
• Architecture patterns such as DDD, CQRS, or Event Sourcing  
• Contributions to open-source projects   

We are seeking an IT Process Automation Lead with strong technical expertise across Atlassian, scripting, and cross-platform integrations. This role goes far beyond traditional administration - your primary mission is to architect automation solutions, extend systems using scripts and APIs, and streamline processes across the organization.

RESPONSIBILITIES

Atlassian Platform Ownership

• Architect, configure, and manage Jira Cloud and Confluence environments, including workflows, schemes, permissions, spaces, and governance
• Lead user and access management while ensuring compliance, security, and consistency across teams
• Establish and enforce Jira/Confluence best practices, driving standardization and operational excellence

Scripting & Advanced Automation

• Develop and maintain automation using Groovy, Python, JavaScript, or PowerShell to extend process functionality
• Build advanced ScriptRunner solutions: listeners, behaviors, REST endpoints, validators, post-functions, and scheduled jobs
• Optimize and troubleshoot automation logic to ensure performance, reliability, and scalability

Cross-Platform Integration & API Engineering

• Build and manage automations using Microsoft Power Platform (Power Apps, Power Automate, and Microsoft Teams)
• Design and implement integrations between Atlassian products and external systems using REST APIs, webhooks, and middleware
• Analyze workflows to identify automation opportunities and deliver end-to-end solutions that increase efficiency

Collaboration, Documentation & Technical Leadership

• Partner with cross-functional teams to gather requirements and architect automation or integration solutions that support business goals
• Produce clear documentation for configurations, scripts, integrations, and standard operating procedures
• Mentor colleagues and champion best practices in automation, scripting, and Atlassian tool usage

REQUIREMENTS  

• 4+ years of hands-on experience with Atlassian products administration
• Strong mastery of scripting languages - Groovy, Python, PowerShell, or JavaScript
• Proven experience designing complex workflows, custom fields, permissions, automation rules, and integrations
• Hands-on experience using Microsoft Power Platform for automation (Power Apps, Power Automate, MS Teams)
• Solid understanding of REST APIs, authentication methods, and integration architectures
• Excellent problem-solving skills and the ability to architect scalable automation solutions
• Strong communication skills and ability to work cross-functionally
• Comfortable managing multiple projects in a dynamic, fast-paced environment