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

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 
Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 
Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 
Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 
Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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

We are looking for a Senior Database Engineer. You will be part of a team that will architect highly efficient services, making a scalable, performant and well-tested software solution that is focused on building business visibility portal in Supply Chain domain

There are no limitations, no barriers when the right people are on your way — apply for the vacancy and succeed with us!

Innovecs is an equal opportunity employer. All hiring decisions are based on professional qualifications, skills, and experience. We are committed to a transparent, merit-based recruitment process that prevents discrimination and ensures equal opportunities for all candidates. Reasonable accommodations are available upon request throughout the recruitment process to support accessibility and inclusion. 

About the Role

 As Analyst, International Operations, you’ll turn raw HR data into real business impact, shape predictive insights for leaders, and help architect the future of workforce intelligence at our company. 

What You’ll Do

• Build predictive models for workforce planning, retention, hiring, and compensation—shifting us from reporting to proactive, forward-looking insights. 
• Integrate data from different data hubs (HRIS, ATS etc.) to create real-time dashboards in Power BI. 
• Automate and maintain agentic AI across People Ops to accelerate decision-making. 
• Own the accuracy of People Insights dashboards—monitor refresh cycles, troubleshoot issues, and ensure top-quality predictive outputs. 
• Build and enhance Power BI dashboards, SQL queries, and data models to support new programs and analytics needs. 
• Use AI tools (Power BI Copilot, AutoML, ChatGPT) to streamline data prep, generate insights, and scale predictive analytics. 
• Partner with stakeholders to gather requirements and continually evolve metrics, dashboards, and AI-driven features. 

What We’re Looking For

• 1.5+ years of experience in analytics or HR operations.
• Proficiency with analytical tools and systems such as Power BI, SQL (basic), Python (basic) and Excel (including macros).
• Experience with predictive analytics, modeling, or forecasting.
• Experience working with project management tools like Microsoft Project, Asana, or similar platforms.
• Strong stakeholder management skills and experience gathering, clarifying, and prioritizing requirements.
• At least upper-intermediate English level.
• Strong attention to detail, analytical thinking, and problem-solving abilities.

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.

We’re looking for a Product Designer to shape player journeys, design fast prototypes, validate ideas, and influence product direction from day one.

RESPONSIBILITIES 

• Define UX direction for brand-new products and early-stage features.
• Architect clear, conversion-driven player flows across sportsbook and casino journeys.
• Create wireframes and prototypes for rapid validation and KPI-driven decisions.
• Lead discovery: identify user friction, market gaps, and new product opportunities.
• Use data (funnels, heatmaps, behavior) to guide prioritization and iteration.
• Collaborate closely with Product, Engineering, QA, and Product Analysts.
• Design A/B test variants and optimize LTV, engagement, and conversion.
  
  

REQUIREMENTS

• Senior-level UX/UI Designer with 5+ years of experience in product design.
• Strong iGaming background and understanding of player psychology.
• Product-driven UX mindset focused on outcomes, not aesthetics.
• Skilled in analyzing user behavior and proposing structural improvements.
• Fast, lean, iterative approach to prototyping and validation.
• Excellent communicator who thrives in cross-functional environments.

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   

About the Role:

We’re looking for an experienced QA Automation Engineer (Mobile/Android) to take the lead in ensuring our global security products meet the highest bars of reliability. In this role, you won’t just run tests; you’ll architect and scale automation solutions for our VPN portfolio (HotspotShield, Betternet) and our flagship antivirus (UltraAV). We are agile, work quickly, and focus on outcomes. We trust our team to build the best solution to help us scale for the future.

Day to Day:

• Architect and evolve our Android automation framework (Espresso/Kakao-Cup) to support a growing portfolio of security products.
• Design sophisticated testing strategies for VPN-specific challenges, including network-dependent flows and testing under unstable or switching connection states.
• Work closely with developers and other QAs to troubleshoot and resolve issues, offering detailed bug reports.
• Uphold QA best practices and contribute to driving the QA strategy.
• Continuously explore new testing tools and methodologies to enhance the QA process.

What you bring to the table:

• At least 3 years of experience in automating UI tests for Android apps written in Kotlin
• Strong hands-on expertise with Espresso and Kakao-Cup, with the ability to test screens built in both Jetpack Compose and classic XML.
• Experience with Robolectric and Mockito for test infrastructure and mocking dependencies.
• You’re comfortable building and maintaining pipelines in CircleCI and using Bash/sh scripting for automation and result processing.
• Experience sharding and parallelizing tests using Flank, and configuring device matrices within Firebase Test Lab or similar emulators.
• An understanding of the specific challenges of testing VPN apps, such as network-dependent flows and handling connection-state flakiness.
• At least upper-intermediate level of spoken and written English

It would be great if you also had:

• Experience maintaining UI test suites across multiple apps in both mono- and multi-repo setups.
• High level of comfort with ADB, log analysis, and a working understanding of the Android build process via Gradle (Kotlin DSL).
• Experience testing A/B frameworks, including covering feature-flagged flows and variant-dependent UI.
• Familiarity with testing Google Play Billing integrations (subscriptions, purchase flows, and edge cases).

Why Join Us?

• Professional Growth: Enhance your skills by collaborating closely with talented engineers and architects.
• Meaningful Impact: Help create software that protects millions of users from cybersecurity threats.
• Supportive Environment: Join a team dedicated to innovation, mentorship, and continuous learning.

About Shelf

The enterprise is going agentic — but most AI agents fail when they hit real business complexity. Shelf is changing that.

We’ve built the operating system for agentic AI: a platform that models your policies, workflows, and operational logic into an AI Data Model so agents don’t just respond — they reason. The result? AI that understands how your business actually runs and delivers precise, compliant, auditable outcomes at scale.

Brands like Amazon, Nespresso, HelloFresh, and KeyBank trust Shelf to power AI agents that resolve 85% of cases autonomously, cut handle times by 20–25%, and turn hours-long processes into seconds. We’re partnered with Microsoft, Salesforce, OpenAI, Snowflake, and Databricks — and recognized by Gartner (Cool Vendor) and IDC (Innovator) for our approach.

If you want to sell the infrastructure that makes agentic AI actually work in the enterprise, you’re in the right place.

Our mission is to empower humanity with better answers everywhere.

Senior Frontend React Developer:

As a Frontend Engineer at Shelf, you'll craft the interfaces that make enterprise AI accessible and trustworthy. While others are building chatbots, we're solving the harder problem: how do you build UIs that help users confidently navigate AI-powered systems processing millions of documents, while maintaining enterprise-grade reliability?

You won't just build React components — you'll architect production-ready Next.js applications that handle high-load scenarios with complex states, real-time AI streaming, and multiple layers of enterprise functionality. Every interface decision you make directly impacts how knowledge workers at the biggest companies in the market interact with their most critical information.

This is frontend engineering at its most demanding. You'll tackle challenges like building real-time streaming interfaces for LLM responses, architecting state management for concurrent AI operations across multiple tenants, creating accessible interfaces for complex knowledge graphs with thousands of nodes, and ensuring blazing fast interactions even with petabytes of searchable content. Your components will bridge everything from enterprise authentication systems to cutting-edge AI models, requiring both sophisticated technical skills and sharp product instincts.

We obsess over frontend quality because we're building the trust layer for AI itself. When your interfaces gracefully handle edge cases, provide clear feedback during AI processing, and remain performant under load, you're not just meeting UX standards - you're directly enabling users to trust AI-powered answers and make critical business decisions with confidence.

You'll work on production SSR applications serving thousands of enterprise users, implementing localization for global markets, ensuring accessibility compliance, and maintaining security standards that pass SOC 2 audits. Your code will integrate with our Elasticsearch clusters, DynamoDB tables, and Aurora PostgreSQL databases through the largest park of REST APIs, handling real-time websocket updates for AI streaming and collaborative features.

We're a product company that ships fast without compromising on lasting quality. You'll work alongside proactive, ever-learning engineers who actively use AI coding assistants (OpenAI Codex, Claude Code) to accelerate development. We build custom MCP servers, implement DSPy pipelines for LLM optimization, and experiment with different AI tools for implementation. In our environment, AI isn't just what we build — it's how we build.

The best engineers we know are drawn to problems that matter. If you're excited by the challenge of building interfaces that make the AI revolution actually usable and trustworthy for enterprise users, this role offers the rare combination of technical depth, meaningful impact, and the prestige of solving UX patterns that the industry hasn't figured out yet.

Responsibilities

• Design and implement production-ready Next.js SSR applications with complex state management, handling high-load scenarios and real-time AI interactions at scale
• Build interfaces for AI-powered features including streaming LLM responses, semantic search across millions of documents, interactive knowledge graphs, intelligent content recommendations, and AI agentic builders
• Architect component libraries and maintain our design system in Storybook, ensuring reusability, accessibility, and consistent UX patterns across the platform
• Develop enterprise-grade functionality including multi-language support, accessibility compliance, cross-browser compatibility, and security implementations that meet SOC 2 standards
• Create comprehensive technical specifications and component API designs that clearly communicate interface decisions, performance trade-offs, and accessibility considerations
• Build and optimize data-heavy UIs using React Flow for node-based graphs, Highcharts for analytics visualizations, and custom virtualization for handling large datasets
• Instrument components for performance monitoring, track Core Web Vitals, implement error boundaries, and build automated visual regression tests with Playwright
• Take full ownership of the features you build, monitoring their performance in production, optimizing bundle sizes, and ensuring they scale gracefully as user load grows
• Work with SWR for intelligent data fetching, caching, and revalidation strategies that minimize API calls while keeping UIs responsive and data fresh
• Integrate with backend services via REST APIs, handle websocket connections for real-time updates, and implement optimistic UI patterns for seamless user experiences
• Leverage AI coding assistants to accelerate development while maintaining high code quality, and contribute to building internal AI agents that automate frontend workflows
• Stay current with React ecosystem best practices, Next.js updates, AI UX patterns, and modern frontend architecture—experiment with new approaches and share findings with the team
• Contribute to our engineering standards and practices through thoughtful code reviews, mentor colleagues on frontend best practices, and actively participate in our culture of continuous learning

Requirements

• Over 5 years of professional frontend engineering experience, including more than 3 years specializing in React and modern JavaScript/TypeScript
• Production Next.js experience - you've built and shipped SSR applications at scale, understand app router patterns, server components, and the trade-offs between SSR, SSG, and CSR
• Deep TypeScript expertise - you write type-safe code with generics, utility types, and advanced patterns. 
• Complex state management - hands-on experience architecting state solutions for challenging scenarios: real-time collaboration, optimistic updates, multi-tenant data isolation, and large-scale data synchronization
• Enterprise application development - you've built applications with localization (i18n), accessibility, security best practices, and compliance requirements. You understand the complexity beyond "making it work"
• AI/LLM interface experience - you've built interfaces for AI-powered features: streaming token responses, chat UIs, semantic search, or similar real-time AI interactions
• High-load optimization - proven track record optimizing applications for performance under heavy traffic, large datasets, and concurrent operations. You monitor Core Web Vitals and know how to improve them
• Modern CSS mastery - strong expertise with Tailwind CSS and/or CSS-in-JS solutions. You can implement pixel-perfect designs while maintaining responsive layouts and dark mode support
• Write well-structured, testable code with thoughtful component abstractions and clean APIs. You know when to abstract and when to keep it simple
• Strong problem-solving skills and genuine curiosity - you don't wait for designs to be perfect but proactively identify UX issues and propose solutions. You're never satisfied with "good enough" and constantly refine your craft
• Experience with AI coding assistants (OpenAI Codex, Claude, etc.) and eagerness to push the boundaries of AI-assisted development. Part of this role involves creating AI agents to automate portions of the frontend workflow
• Familiarity with observability and monitoring tools like Datadog, Sentry, or similar platforms for tracking frontend performance and errors in production
• Upper-Intermediate or better English skills for technical communication, documentation, and collaborating with distributed teams
• Present your work effectively both verbally and visually - you can articulate design decisions, create component documentation, and explain technical trade-offs clearly

Be a Plus:

• Experience with React Flow, Highcharts, or other complex data visualization libraries
• Understanding of Node.js/Python/backend fundamentals - you can read backend code and contribute to API design discussions
• Experience with SWR, React Query, or similar data fetching libraries
• Hands-on experience with vector search UIs, RAG interfaces, or semantic search implementations
• Familiarity with MCP (Model Context Protocol), DSPy, or other cutting-edge AI frameworks
• Experience with monorepo tools (Lerna, Turborepo, Nx) and managing shared component libraries
• AWS services knowledge (S3, CloudFront, Lambda) and understanding of serverless architectures
• Built or contributed to design systems or open-source component libraries
• Experience with Playwright, Puppeteer, or Cypress for comprehensive E2E testing
• Experience building AI agent interfaces or agentic AI workflows

What Shelf Offers:

• B2B contract
• Company Stock Options
• Hardware: MacBook Pro
• Modern technical stack. Develop open-source software
• Premier AI development environment: GitHub Copilot, Claude Code, OpenAI Codex, TypingMind, v0, MCP Servers, plus credits for experimenting with emerging AI tools

Why Shelf

• Our Leadership Team has deep knowledge management and AI domain expertise and enterprise SaaS background to execute this plan
• We love our customers and our customers love us. Ask a Shelf customer why, and they’ll tell you it’s because of our innovative capabilities, rock-solid reliability, they truly enjoy working with our people, but most of all – it’s the improvements they see in their business KPIs.
• We have raised over $60 million in funding and our investors include Tiger Global, Insight Partners, Connecticut Innovations, and others
• We have high velocity growth powered by the most innovative product in our category, 3X growth for 3 years in a row
• We now have over 100 employees in multiple U.S. states and European countries, and we have ambitious hiring goals over the next few months

Our Values:

Quality - We’re united by our focus on world‑class Quality. Quality in all things – starting with everything that leaves your desk. Everything you touch – every email, report, campaign, and piece of code – should be outstanding. Your work product should blow people away. Having people look at what you’ve done and say, “Wow.” That’s the standard here. Remember that how you do anything is how you do everything. Focus on craftsmanship—your ability to make things better.

Momentum - for us means that you should know that the things you’re responsible for are moving forward. When you look around and see something that’s stalled, get it moving again. We pride ourselves on “ball movement.” When your boss or team leaves you with something, they should return to see measurable progress. Small, continuous movement is our recipe for success. Constantly look for how to make the work around you move forward. We want you to initiate solutions, ideas, and progress. Don’t wait for it to come to you—reach out and create movement. All the time.

Accountability - We expect every team member to feel that they are accountable for more than anyone might normally expect. Each of us should feel real responsibility for things even at the edge of our control. We consistently share and align on expectations, give each other open and respectful feedback, and use those two drivers to ensure that every agreement we make with one another is clear and complete.

Hard Work - We’re here to do something difficult together. We care intensely about the mission and we expect that from our teammates. That care means that we work hard here. Hard work comes with long hours, extra effort…and real opportunity at Shelf. Your passion for creating and sustaining output is a part of our DNA. Support each other, cheer each other on, drive the mission forward. Great teams sustain intense effort together to win.

Learning Agility - We’re innovating in one of the fastest‑moving spaces in history at a time of accelerating global change. That’s incredibly exciting and requires each of us to commit fully to learning each and every day so that we can be the best at what we do. None of us know everything. All of us can learn anything. Staying open and constantly curious is a key success driver at Shelf. It also requires humility. We prize people who are consistently humble and open to making mistakes and growing from them. Recognize also that learning itself is a skill…we need you to be really good at it. Keep dialing in your own understanding about how you learn best and push yourself to keep growing.

Adapt and Thrive - Overcoming challenges lives deep in our DNA. We have a proud history of understanding and living the reality that obstacles are our opportunities…they’re the key to our success. Change is a constant in our business and fighting change is counterproductive. We need you to be good at being uncomfortable and understand that discomfort is the key to growth. Cultivate your own ability to adapt and know that struggling well is something you’ll share with every team you’re on at Shelf. Our company stories are about thriving through real difficulty…together.

Win Together - We win or lose as a team. Always. Everything you do here is connected to the rest of the organization. Part of our shared team environment demands full honesty…real candor and directness with one another. We expect you to constantly be thinking about how to support your teammates and the company, always acting in service to our shared mission and what’s best for the organization as a whole.

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