Jobs

Our client is a travel tech startup that helps users automatically save money on flights and hotel bookings. The platform monitors booked reservations and, if the price drops, rebooks or secures a refund so users get the savings without any manual effort. The product integrates with users’ email to track bookings and works with major airlines and hotels worldwide. The company operates on a performance-based model, taking only a percentage of the savings it generates.

Requirements

Must-have skills

• Node.js — 8-10+ years of commercial experience
• Express.js — building REST APIs, middleware, routing
• MongoDB — Mongoose ODM, aggregations, indexing, query optimization
• Redis — caching, pub/sub, queues
• Testing — writing unit and integration tests (Mocha, Chai, Supertest or similar)
• Git — branching, code review, merge requests
• REST API — design and third-party integrations

Nice-to-have skills

• TypeScript — typing, migrating JS projects to TS
• GCP (Google Cloud Platform) — Cloud Run, KMS, Cloud Storage
• OpenSearch/Elasticsearch — full-text search, indexing
• REDIS — cache, queues
• Socket.io/WebSockets — real-time communication
• Gmail API / Google APIs — OAuth 2.0, email processing
• Stripe — payment integration, webhooks
• Twilio — SMS notifications
• Cheerio — HTML parsing
• Handlebars — email templating

Would be a plus

• Knowledge of queue patterns and background job processing
• Experience with Passport.js (JWT, OAuth)
• Understanding of web application security principles (OWASP)

Responsibilities

• Develop and maintain backend services on Node.js
• Write automated tests for new and existing code
• Integrate with third-party APIs (payment systems, email services, SMS)
• Optimize performance and scalability
• Work with MongoDB database, Redis storage and OpenSearch engine
• Conduct code reviews and participate in technical discussions
• Work with existing codebase, refactoring

Tech Stack

• Runtime: Node.js 22
• Framework: Express.js
• Database: MongoDB (Mongoose)
• Search: OpenSearch
• Cache: Redis
• Real-time: Socket.io
• Cloud: GCP (Cloud Run)
• Auth: Passport.js (JWT, Google OAuth 2.0)
• Payments: Stripe
• Email: Gmail API, Resend
• SMS: Twilio
• Testing: Mocha, Chai, Supertest, Sinon
• Validation: Joi, Zod
• Logging: Winston

We're a US-based entertainment tech company in hyper-growth mode. Our mobile product has found strong product–market fit in North America, and now we're scaling aggressively.

We're looking for a world-class User Acquisition leader to help us grow from $500K to $10M+ in monthly ad spend — profitably.

We are looking for a hands-on Senior User Acquisition Manager to lead and scale paid acquisition across Meta, Snapchat, and TikTok. This role combines strategic ownership with operational execution: you will be responsible for building a scalable acquisition system, driving traffic and profitable growth, and shaping the creative and data-driven strategy for US and Canadian markets.
 

This is not just a managerial role — hands-on execution and the ability to optimize campaigns, budgets, and creative testing frameworks are key.
 

Responsibilities

• Own and scale acquisition campaigns on Meta Ads, Snapchat, and TikTok across the US & Canada.
• Build a systematic and repeatable acquisition engine, including funnels, audiences, and creative testing frameworks.
• Collaborate closely with the Creative Lead and design team.
• Analyze key metrics (LTV, CAC, ROAS, ROMI, ROI) and optimize campaigns for maximum profitability.
• Research competitors and implement best practices for campaign growth.
• Experiment with new channels, technologies, and hypotheses.
• Manage budgets efficiently and structure campaigns for scalable growth.
• Contribute to strategic improvements and growth initiatives within the UA department.
   

Requirements

Must-have

• 2+ years of experience in User Acquisition
• Proven experience running Meta Ads and other paid channels (Snapchat, TikTok).
• Strong track record working with US and Canadian markets.
• Demonstrated ability to scale campaigns profitably.
• Deep understanding of creative testing frameworks and performance optimization mechanics.
• Strong hands-on execution skills and data-driven decision-making.
• Intermediate English.
   

Nice-to-have

• Experience building or restructuring acquisition teams.
• Experience working in high-volume creative environments.
• Familiarity with sweepstakes or subscription-based products.
• Performance-driven mindset with strong accountability for results.
   

Why Join Us?

💰 Big budgets — $500K+/month with a clear path to scale to $10M+ monthly ad spend

📊 Strong analytics infrastructure — dashboards, attribution, and everything you need to make data-driven decisions

🎨 Established creative pipeline — dedicated Creative Lead and design team, no creative bottlenecks

🚀 High autonomy — own your results with direct access to founders and fast decision-making

📈 Real impact — your work directly drives company growth and market expansion

About the company

We are a global product-driven company operating in the digital advertising space, building advanced solutions that help brands reach their audiences while enabling publishers to unlock additional revenue streams. Our focus is on developing high-impact ad formats and improving the overall advertising experience through innovation and technology.
 

Role overview

We are looking for a Senior Account Manager to join our remote team on a full-time basis. In this role, you will be responsible for managing and expanding a portfolio of client accounts, ensuring strong performance and long-term partnerships.
 

Key responsibilities

• Build and maintain strong relationships with clients, acting as their primary point of contact
• Monitor campaign performance and proactively identify areas for optimization
• Analyze data and translate insights into actionable improvements
• Implement optimizations and ensure delivery against agreed KPIs
• Coordinate with internal teams (product, technical, commercial) to achieve business goals
• Handle day-to-day client communication, resolve issues, and align on expectations
• Provide feedback and insights to support product enhancements and ongoing improvements
  
  Requirements
• 2+ years of experience in Account Management, Customer Success, or Ad Operations within AdTech
• Solid understanding of the programmatic ecosystem (DSPs, SSPs, exchanges, etc.)
• Experience with audio monetization (in-app, podcasts, or streaming) is a strong advantage
• Strong analytical mindset with the ability to work with performance data
• Experience investigating campaign issues (delivery, discrepancies, traffic quality)
• Excellent communication and negotiation skills
• Upper-intermediate or higher level of English (written and spoken)
• Strong organizational skills and ability to manage multiple priorities
• Self-driven and comfortable working independently in a fast-paced environment

Project Description
As a Senior Backend Developer, you will join a high-profile team of business analysts, solution architects, and developers working on a strategic project within Group Accumulation Management.
You will be responsible for designing and implementing integration solutions based on business requirements across the full project lifecycle, with a focus on agile development, data modeling, and domain expertise in Commercial Insurance and Risk Management.

Responsibilities

• Work with IT Solution Architect to clarify business requirements and estimate development efforts
• Break down tasks and implement user stories
• Collaborate with the Quality Assurance team on issue reporting, resolution, and change control
• Assist other teams with troubleshooting issues related to applications and integrations

Mandatory Skills

• CQRS
• Microsoft Azure DevOps
• Microsoft Azure SQL
• SOLID principles

Technical Competencies

.NET / C#

• Strong hands-on experience with C# and modern .NET (6/7/8)
• Experience building Web APIs and backend services (ASP.NET Core)
• Solid understanding of dependency injection, middleware, and configuration management
• Experience with RESTful services and API design best practices
• Understanding of authentication and authorization (OAuth2 / JWT)

Cloud Technologies

• Experience with at least one cloud platform: Azure (preferred) / AWS / GCP
• Experience with cloud-native application design
• Experience with PaaS services (App Services, Azure Functions, etc.)
• Experience with containerization (Docker)
• Experience building and maintaining CI/CD pipelines
• Understanding of microservices architecture
• Understanding of observability (logging, monitoring, tracing)
• Experience with configuration and secrets management

MS SQL Server

• Strong experience with Microsoft SQL Server
• Database design and schema optimization
• Writing complex T-SQL queries, stored procedures, and functions
• Performance tuning and query optimization
• Indexing strategies and execution plan analysis
• Experience with data migration and transformation

Experience

• 4–6+ years of professional experience in C#/.NET development
• Proven experience delivering cloud-based solutions
• Hands-on experience with MS SQL in enterprise environments

Nice-to-Have Skills

• Additional relevant technical or domain experience is a plus

Languages

• English: B2 (Upper Intermediate)

We are looking for an experienced Engineering Manager to lead and scale our engineering teams building a high-performance trading platform. You will be responsible for people leadership, delivery excellence, and technical direction across a hybrid infrastructure.

This role sits at the intersection of engineering, infrastructure, and business, with a strong focus on reliability, performance, and scalability in a latency-sensitive environment.

Responsibilities

- Lead and manage cross-functional engineering team up to 10 engineers (backend, frontend, infrastructure, mobile)

- Own delivery, quality, and technical outcomes for your teams

- Partner closely with Product, Trading, and Senior Engineering leadership to translate business requirements into technical execution

- Drive and evolve engineering processes: planning, estimation, CI/CD, code reviews, testing, and release management

- Guide architectural decisions for systems running on hybrid infrastructure

- Ensure high availability, performance, and observability of production systems

- Identify and reduce technical debt, while maintaining delivery velocity

- Hire, onboard, mentor, and grow engineers; conduct 1:1s and performance reviews

- Foster a culture of ownership, customer first, and result-oriented

Requirements

- 5+ years of professional software engineering experience

- 3+ years in an Engineering Manager role

- Background in financial systems, trading platforms, or other high-reliability domains

- Strong understanding of backend systems, ideally with hands-on experience in Ruby

- Experience operating systems on AWS (EC2, networking, security, monitoring)

- Experience working with on-premise infrastructure and hybrid environments.

- Knowledge of CI/CD pipelines, infrastructure automation, and deployment strategies

- Familiarity with observability tools (metrics, logging, alerting) and performance monitoring

Will be a Plus

- Experience with low-latency or high-throughput systems

- Exposure to trading, fintech, or market-data platforms

- Experience scaling teams and systems

- Hands-on experience with infrastructure-as-code tools

Role Summary

We are hiring someone to identify, build, and scale AI-powered workflows that improve internal operations. This role is focused on using AI tools, automation platforms, APIs, and lightweight scripting to reduce manual work, improve speed, and drive measurable business impact.

This is a hands-on role for someone who can understand business problems, design practical solutions, and implement automations that teams actually use.

What This Person Will Do

Identify Opportunities

• Review internal workflows and find repetitive, manual, or inefficient processes
• Spot areas where AI or automation can save time, improve quality, or reduce operational friction
• Prioritize opportunities based on impact, speed to implement, and business value
   

Build automations

• Design and implement AI-powered workflows using LLMs, agents, automation platforms, APIs, and lightweight scripting
• Connect systems such as CRM, support tools, docs, spreadsheets, internal tools, and knowledge sources
• Prototype quickly, test in real workflows, and improve over time
   

Own the workflow layer

• Create prompts, instructions, templates, and reusable workflow components
• Organize the context and information AI systems need to perform well
• Improve reliability, usability, and repeatability of AI workflows
   

Drive adoption

• Roll out solutions to internal teams
• Train users on how to use workflows effectively
• Write lightweight documentation and playbooks
• Gather feedback and improve workflows based on real usage
   

Measure results

• Define success metrics for each workflow
• Track outcomes such as time saved, reduction in errors, faster turnaround times, adoption, and ROI

Qualifications

• Experience in operations, automation, RevOps, BizOps, solutions, enablement, internal tools, consulting, or applied AI work
• Strong ability to identify inefficient workflows and turn them into practical automation opportunities
• Experience building workflows with tools such as Zapier, Make, n8n, Airtable, Notion, Retool, Clay, Glean, OpenAI, Claude, Gemini, or similar platforms
• Comfort working with APIs, webhooks, JSON, spreadsheets, databases, and SaaS integrations
• Ability to use lightweight Python or JavaScript when needed, but this role does not require a traditional software engineer background
• Strong understanding of how to combine AI tools, structured workflows, human review, and business logic
• Good judgment about when to use AI versus standard automation or manual review
• Strong written and verbal communication skills
• Ability to work directly with non-technical stakeholders and translate ambiguous problems into working systems
• Experience documenting workflows, training users, and driving adoption across teams
• Comfort measuring outcomes such as time saved, workflow quality, reliability, and business impact
   

Nice to Have

• Experience with prompt design, evals, or agent workflows
• Familiarity with SQL, dashboards, or workflow reporting
• Experience connecting AI workflows into CRM, support, recruiting, or finance systems
• Experience rolling out new internal systems across teams

What Success Looks Like

A strong candidate for this role will:

• Quickly identify inefficient workflows
• Build useful automations without overengineering
• Connect AI tools to real business processes
• Create workflows that people actually use
• Focus on measurable business outcomes, not just experimentation

People and stability are our key priorities.
We are a small team, spread across Ukraine, Denmark and Norway.
Friendly atmosphere with no rush and high focus. This is a long-term project.

Our products are designed for industrial and energy sectors, including oil and gas. We are working in IoT, Machine Learning and AI technology domains. One of the upcoming activities will be LLMs integration.

We are looking for candidate with 3+ years of experience,
using following tools and technologies:

- React, Vue
- Typescript
- State management (Redux or similar)

- Node.js (Python will be a great plus)
- API design and development
- SQL and NoSQL databases
- Cloud services (Azure or AWS)

- Event driven architectures and message brokers RabbitMQ or Kafka
- Docker
- CI/CD
 

- Confident English communication (speaking and writing)

Will be a plus:

- Python
- Practical experience building solutions based on LLMs / Gen AI
- Experience with deployments via Kubernetes
- Experience with Azure Open AI and Azure Search

You will be working on following:
- Design, develop and maintain responsible and performant user interfaces 
- Build robust backend services
- Solve technical challenges while finding balance between different tradeoffs
- Participate in the upcoming integration of LLMs and help to introduce AI in real-world use cases
- Collaborate inside cross-functional team of engineers (and great personalities)
- Grow your expertise and have fun

We Offer:
- The competitive reward for the provided services
- Official contract and full taxes compensation
- Remote work
- Flexible working hours
- Minimal bureaucracy
- Paid vacation, sick leaves, national holidays

We are seeking an experienced Data Scientist with a passion for large language models (LLMs) and cutting-edge AI research. In this role, you will design and prototype data preparation pipelines, collaborating closely with data engineers to transform your prototypes into scalable production pipelines, design and implement a state-of-the-art evaluation and benchmarking framework to measure and guide model quality, and do end-to-end LLMs training. You will work alongside top AI researchers and engineers, ensuring our models are not only powerful but also aligned with user needs, cultural context, and ethical standards.

What you will do

• Curation of datasets for pre-training, supervised fine-tuning, and alignment;
• Research and develop best practices and novel techniques in LLM training and evaluation pipelines;
• Collaborate closely with data engineers, annotators, linguists, and domain experts to scale data processes, define evaluation tasks and collect high-quality feedback.

Qualifications and experience needed
Education & Experience:

• 3+ years of experience in Data Science or Machine Learning, preferably with a focus on NLP;
• An advanced degree (Master’s or PhD) in Computer Science, Computational Linguistics, Machine Learning, or a related field is highly preferred.

GenAI & NLP Expertise:

• Practical experience with fine-tuning LLMs / VLMs models;
• Hands-on experience with modern NLP approaches, including embedding models, semantic search, text classification, sequence tagging (NER), transformers/LLMs, RAGs.

ML & Programming Skills:

• Strong experience with deep learning frameworks such as PyTorch or JAX for building models;
• Ability to write efficient, clean code and debug complex model issues.

A plus would be
Advanced NLP/ML Techniques:

• Applied experience using Reinforcement Learning in NLP / LLM settings;
• Prior work on LLM safety, fairness, and bias mitigation;
• Experience generating and curating synthetic datasets for Supervised Fine-Tuning (SFT), including quality control and scaling considerations.

Research & Community:

• Publications in NLP/ML conferences or contributions to open-source NLP projects;
• Active participation in the AI community or demonstrated continuous learning (e.g., Kaggle competitions, research collaborations) indicates a passion for staying at the forefront of the field.

MLOps & Infrastructure:

• Hands-on experience with containerization (Docker) and orchestration (Kubernetes) for ML, as well as ML workflow tools (MLflow, Airflow);
• Experience in working alongside MLOps engineers to streamline the deployment and monitoring of NLP models;
• Experience with cloud platforms (AWS, GCP, or Azure) and big data technologies (Spark, Hadoop, Ray, Dask) for scaling data processing or model training is a plus.

Problem-Solving:

• Innovative mindset with the ability to approach open-ended AI problems creatively;
• Comfort in a fast-paced R&D environment where you can adapt to new challenges, propose solutions, and drive them to implementation

What we offer

• Office or remote — it’s up to you. You can work from anywhere, and we will arrange your workplace;
• Remote onboarding;
• Performance bonuses;
• We train employees with the opportunity to learn through the company’s library, internal resources, and programs from partners;
• Health and life insurance;
• Wellbeing program and corporate psychologist;
• Reimbursement of expenses for Kyivstar mobile communication.

Role Summary

We are hiring someone to identify, build, and scale AI-powered workflows that improve internal operations. This role is focused on using AI tools, automation platforms, APIs, and lightweight scripting to reduce manual work, improve speed, and drive measurable business impact.

This is a hands-on role for someone who can understand business problems, design practical solutions, and implement automations that teams actually use.

What This Person Will Do

Identify Opportunities

• Review internal workflows and find repetitive, manual, or inefficient processes
• Spot areas where AI or automation can save time, improve quality, or reduce operational friction
• Prioritize opportunities based on impact, speed to implement, and business value
   

Build automations

• Design and implement AI-powered workflows using LLMs, agents, automation platforms, APIs, and lightweight scripting
• Connect systems such as CRM, support tools, docs, spreadsheets, internal tools, and knowledge sources
• Prototype quickly, test in real workflows, and improve over time
   

Own the workflow layer

• Create prompts, instructions, templates, and reusable workflow components
• Organize the context and information AI systems need to perform well
• Improve reliability, usability, and repeatability of AI workflows
   

Drive adoption

• Roll out solutions to internal teams
• Train users on how to use workflows effectively
• Write lightweight documentation and playbooks
• Gather feedback and improve workflows based on real usage
   

Measure results

• Define success metrics for each workflow
• Track outcomes such as time saved, reduction in errors, faster turnaround times, adoption, and ROI

Qualifications

• Experience in operations, automation, RevOps, BizOps, solutions, enablement, internal tools, consulting, or applied AI work
• Strong ability to identify inefficient workflows and turn them into practical automation opportunities
• Experience building workflows with tools such as Zapier, Make, n8n, Airtable, Notion, Retool, Clay, Glean, OpenAI, Claude, Gemini, or similar platforms
• Comfort working with APIs, webhooks, JSON, spreadsheets, databases, and SaaS integrations
• Ability to use lightweight Python or JavaScript when needed, but this role does not require a traditional software engineer background
• Strong understanding of how to combine AI tools, structured workflows, human review, and business logic
• Good judgment about when to use AI versus standard automation or manual review
• Strong written and verbal communication skills
• Ability to work directly with non-technical stakeholders and translate ambiguous problems into working systems
• Experience documenting workflows, training users, and driving adoption across teams
• Comfort measuring outcomes such as time saved, workflow quality, reliability, and business impact
   

Nice to Have

• Experience with prompt design, evals, or agent workflows
• Familiarity with SQL, dashboards, or workflow reporting
• Experience connecting AI workflows into CRM, support, recruiting, or finance systems
• Experience rolling out new internal systems across teams

What Success Looks Like

A strong candidate for this role will:

• Quickly identify inefficient workflows
• Build useful automations without overengineering
• Connect AI tools to real business processes
• Create workflows that people actually use
• Focus on measurable business outcomes, not just experimentation

Job Description

• 4+ years of hands-on experience with Microsoft Dynamics 365 Sales and Service modules
• Strong expertise in Power Platform (Power Apps, Power Automate, Power BI) for extending and customizing D365 solutions
• Proven experience in customizing and configuring D365 entities, workflows, plugins, and integrations
• Good knowledge of Dataverse, security roles, and data modeling within D365
• Familiarity with integration scenarios (REST APIs, Service Bus, Azure Functions) and connecting D365 with external systems
• Experience with JavaScript/TypeScript for D365 client-side scripting and UI customization
• Knowledge of deployment pipelines and ALM for Power Platform solutions (Azure DevOps, Git)
• Strong problem-solving skills and ability to translate business requirements into technical solutions
• Experience working in Agile Scrum teams, with solid understanding of SDLC practices
• Excellent written and verbal communication skills in English (Upper-Intermediate+)
   

Job Responsibilities

• Design, develop, and maintain solutions in D365 Sales and Service to meet business needs
• Build and customize Power Apps and Power Automate flows for workflow automation and business process optimization
• Implement and maintain integrations between D365 and external systems using APIs, Service Bus, and Azure services
• Develop and deploy plugins, scripts, and extensions to enhance D365 functionality
• Configure and optimize Dataverse schemas, security models, and access controls
• Collaborate with stakeholders to gather requirements, refine user stories, and translate them into technical solutions
• Support end-to-end testing and deployment of D365 changes, ensuring compliance with quality standards
• Participate in backlog refinement, sprint planning, and estimation activities
• Troubleshoot and resolve issues related to D365 configurations, integrations, and workflows
   

Department/Project Description

GlobalLogic is searching for a motivated, results-driven, and innovative engineer to join our project team at a dynamic startup specializing in pet insurance. Our client is a leading global holding company that is dedicated to developing an advanced pet insurance claims clearing solution designed to expedite and simplify the veterinary invoice reimbursement process for pet owners.

You will be working on a cutting-edge system built from scratch, leveraging Azure cloud services and adopting a low-code paradigm. The project adheres to industry best practices in quality assurance and project management, aiming to deliver exceptional results.

We are looking for an engineer who thrives in collaborative, supportive environments and is passionate about making a meaningful impact on people's lives. If you are enthusiastic about building innovative solutions and contributing to a cause that matters, this role could be an excellent fit for you.

Our partners are looking for a versatile 2D Artist with a deep passion for the iGaming industry. You will be responsible for creating the visual soul of new slot titles — from initial concepts to high-polish characters, backgrounds, and UI elements that captivate players.

Responsibilities:

• Full-Cycle Game Art: Conceptualize and render high-quality assets including characters, atmospheric backgrounds, and intuitive UI;
• Cross-Team Collaboration: Work closely with the Art Lead and Animation team to ensure assets are "animation-ready";
• AI-Assisted Workflow: Integrate AI tools (MidJourney, Stable Diffusion, etc.) into your creative process to speed up prototyping and asset generation;
• Consistency & Style: Maintain visual integrity across entire projects, ensuring that symbols, backgrounds, and interfaces work as a single cohesive unit;
• Technical Preparation: Organize and slice PSD files for seamless handoff to animators and developers.

Requirements:

• 2+ years of experience in 2D Art specifically within the iGaming/Slots sector;
• Mastery of Adobe Photoshop and digital painting (Graphic Tablet);
• Holistic Vision: Ability to think beyond a single character and see the "big picture" of a game's visual ecosystem;
• AI Savvy: Hands-on experience or a strong willingness to master AI tools (MidJourney, ChatGPT) to optimize production;
• Technical Art Awareness: Understanding of layer structure, resolution constraints, and asset optimization for web/mobile;
• Portfolio: A portfolio showcasing polished slot game assets (symbols, UI, backgrounds) is mandatory.

Benefits:

• Financial Growth: Regular salary reviews and timely payments;
• Health: Comprehensive medical insurance;
• Tech: Provision of professional equipment as needed;
• Learning: Corporate English and 50% reimbursement for specialized courses/webinars;
• Mentorship: Guidance from seasoned Team Leads and a clear path to Senior/Lead roles;
• Flexibility: 100% remote work with 20 days of vacation and paid sick leave;
• Culture: Informal online and offline team events.

Our partners are looking for a creative Middle 2D Animator to breathe life into new slot titles. You will be a key player in the production cycle, turning static art into high-impact gaming experiences using Spine 2D and After Effects.

Responsibilities:

• End-to-End Animation: Create fluid character animations, dynamic backgrounds, and eye-catching VFX;
• Tool Mastery: High-quality rigging and animation in Spine 2D and motion graphics in After Effects;
• Visual Style Development: Collaborate with Art Directors to define the motion language for new game themes;
• Asset Optimization: Prepare and optimize animations for seamless integration into game engines (performance matters);
• Creative Polish: Enhance player feedback through "juicy" animations that drive engagement and excitement.

Requirements:

• 2+ years of experience in 2D game animation (specific experience with Slot Games is a big plus);
• Spine 2D Expert: 1+ year of professional hands-on experience (rigging, meshes, weights);
• Adobe Suite: Proficiency in After Effects (VFX/Compositing) and Photoshop (Asset preparation);
• Technical Art Mindset: Understanding of atlas optimization, draw calls, and technical constraints of web/mobile platforms;
• Portfolio: A strong reel demonstrating character acting and polished FX is a must;
• English: B1 (Intermediate) for effective team collaboration.

Benefits:

• Health & Stability: Medical insurance and regular salary reviews;
• Equipment: Provision of necessary hardware for your home office;
• Professional Growth: 50% reimbursement for courses/certifications and corporate English;
• Mentorship: Direct guidance from experienced Team Leads to help you reach Senior/Lead levels;
• Flexibility: 100% remote-first environment;
• Time Off: 20 days of vacation, paid sick leave, and public holidays.

Devico is looking for a motivated and talented Senior DevOps Engineer with commercial experience of at least 5 years to join to our team on a full-time basis.

About Us:

We are building technology that makes sustainability and decarbonization core elements of modern business. Our software provides partners with advanced carbon management tools that simplify compliance, reduce emissions, and support success in a sustainable economy.

Our mission is to automate and scale carbon management processes, helping companies optimize operations, reduce emissions across products and supply chains, and contribute meaningfully to the fight against global climate change.

Responsibilities:

• Design, implement, and manage scalable, reliable, and secure cloud infrastructure using AWS.
• Develop and maintain infrastructure as code (IaC) using Terraform.
• Deploy, manage, and troubleshoot Kubernetes clusters.
• Create and manage CI/CD pipelines using Bitbucket Pipeline.
• Monitor and optimize system performance, reliability, and security using DataDog.
• Collaborate with software developers, system operators, and other IT staff members to manage code releases.
• Ensure that systems are safe and secure against cybersecurity threats.
• Automate and streamline operations and processes.
• Perform root cause analysis for production errors.

Requirements:

• Proven experience as a DevOps Engineer or similar software engineering role.
• Extensive experience with AWS services and cloud architecture.
• Strong proficiency in Terraform for infrastructure as code.
• Hands-on experience with Kubernetes for container orchestration.
• Proficient in setting up and managing CI/CD pipelines using Bitbucket Pipeline.
• Expertise in monitoring and performance management using DataDog.
• Strong scripting skills (e.g., Bash, Python).
• Excellent problem-solving skills and attention to detail.
• Good understanding of Agile methodologies and DevOps best practices.
• Excellent communication and teamwork skills.
• Level of English: Upper-intermediate and higher.

Preferred Qualifications:

• Relevant certifications in AWS, Kubernetes, or Terraform.
• Experience with other monitoring tools and logging frameworks.
• Knowledge of security best practices in cloud environments.
• Familiarity with other CI/CD tools (e.g., Jenkins, GitLab CI).

This is not a coding role. This is a systems-of-systems role. 

If you build things with AI, this posting isn't for you. 

If you build the systems that govern how AI builds things — keep reading.

What This Role Is

LifeChef is a HIPAA-compliant healthcare platform delivering Medically Tailored Meals. Our engineering team builds on a methodology called Enso — a spec-driven, AI-augmented development framework where every feature starts with a specification, gets built with AI assistance, and is validated against defined criteria.

Enso v1 is linear: spec → generate → validate → ship. It works. But it's hitting scaling limits — the document graph grows with every feature, validation complexity compounds, and the process requires increasing human oversight to maintain quality. This is a familiar problem in any AI-assisted workflow that outgrows its initial architecture.

We need someone to take Enso from v1 to v2: a true agentic system where specialized AI agents handle research, specification validation, code generation oversight, quality assurance, and deviation detection — with structured autonomy, clear escalation paths, and human-in-the-loop at defined decision points, not everywhere.

You would partner directly with the CTO (who designed the current methodology and has strong opinions about where it needs to go) to architect, build, and maintain this system. The first 30 days are heavy collaboration — translating vision into working architecture. After that, you own the evolution of the process while the CTO focuses on product and team.

What You'd Actually Build and Maintain

• Agent topology for the development lifecycle: research agents, spec validation agents, code review agents, compliance checking agents, red-team/adversarial agents — each with defined boundaries, confidence thresholds, and escalation triggers
• Spec-to-code reconciliation system: agents that validate whether implemented code actually satisfies the specification, flagging deviations and ambiguities rather than silently passing
• Multi-model orchestration strategy: routing different tasks to different models based on cost, capability, and risk (expensive models for reasoning, cheap models for classification, open-source where it fits)
• Structured output validation: ensuring agent outputs are parseable, auditable, and actionable — not just "LLM said it's fine"
• Governance and escalation framework: what agents decide autonomously vs. what requires human sign-off, circuit breakers for low-confidence situations, audit logging for compliance
• Evolution engine: the system should improve itself — tracking where agents fail, where human overrides happen, and feeding that back into prompt refinement and architecture changes
• Integration with existing CI/CD: the agentic layer hooks into GitHub Actions, automated testing (Vitest), PHI scanning, secret detection, and compliance validation already in the pipeline

This is infrastructure that the development team operates within. You're not shipping product features — you're shipping the machine that makes product development faster, safer, and more consistent.

What We Need From You

Hard requirements:

• You have designed or built at least one agentic system where AI agents operate with structured autonomy — multi-step workflows with validation, error handling, and escalation. Not just API wrappers. Not just chatbots.
• You understand agent topology as a design problem: which agents need to exist, what their boundaries are, how they communicate, how you prevent cascading failures.
• You have hands-on experience with LLM orchestration frameworks (LangChain, CrewAI, AutoGen, custom implementations — the specific tool matters less than the depth of understanding).
• You think in terms of eval frameworks and validation: how do you know if an agent's output is good? How do you measure drift? How do you build confidence scoring that's actually useful?
• You understand multi-model strategies: when to use which model, cost/capability tradeoffs, how to tier your model usage so you're not burning expensive tokens on classification tasks.
• You can work in both Python and TypeScript, or at minimum are comfortable in one and willing to operate in the other. Our product stack is TypeScript-first but agentic tooling often lives in Python.
• Strong written communication. This role involves heavy async documentation of architectural decisions, process design, and system behavior.

What sets you apart:

• Experience with Model Context Protocol (MCP) — building custom MCP servers, tool-use architectures
• Claude Code, Cursor, or similar AI-native development tools as part of your own workflow (you should be using what you're building systems around)
• Experience in healthcare, fintech, or regulated environments where AI outputs must be auditable and compliant
• Understanding of prompt engineering at the systems level — not "write a good prompt" but "design a prompt architecture that's maintainable, versionable, and testable"
• You've thought seriously about adversarial validation — red-team agents, cross-model verification, structured disagreement as a quality signal
• You have opinions about where agentic AI is overhyped and where it genuinely works, and you can defend those opinions with specifics

What we explicitly don't require:

• A portfolio of 50 agentic projects. The field is young. One deep project with real orchestration depth beats ten shallow ones.
• Product development skills. You won't be building UI or shipping user-facing features.
• Healthcare domain expertise. We'll teach you the domain. You teach us the orchestration.

How We Evaluate

1. Screening questions (in your application) — We're looking for specificity and honesty, not keyword density.
2. Architecture conversation with CTO (90 min) — We'll describe our current system, its limitations, and where we want to go. You'll tell us how you'd approach it. This is a two-way design conversation, not a quiz.
3. Small design exercise (async, take-home) — Given a simplified version of our spec validation problem, design an agent topology. We're evaluating how you think about boundaries, failure modes, and escalation — not production-ready code.
4. Trial sprint (60–90 days) — Heavy pairing with CTO in the first 30 days, increasing autonomy after. Defined milestones at 30, 60, and 90 days.

The Team and Context

Small, senior engineering team, primarily Ukraine-based. The CTO (Jay) designed the Enso methodology, has 20+ years of engineering experience across healthcare, threat intelligence, and enterprise platforms, and has built the governance architecture (constitutions, spec-gates, validation layers) that you'd be evolving. He's technical, direct, and has strong opinions — but he's hiring you because he needs a partner in this, not an executor.

The product stack is Next.js 16, React 19, TypeScript, PostgreSQL, AWS serverless (Lambda, CDK, Amplify Gen 2), with Vitest testing, Pino structured logging, and HIPAA compliance enforced in CI. You don't need to know this stack deeply, but you need to understand it well enough to build agentic tooling that integrates with it.

We're building toward autonomous agentic systems for clinical operations — this development process work is the foundation that makes that possible. If the idea of designing the system that governs how an engineering team builds software excites you, this is the role.

How to Apply

Reply with:

• The most complex agentic or LLM orchestration system you've built — what it did, how it was structured, what you learned
• Your honest take on where agentic AI is right now and what's actually hard
• What interests you about building process infrastructure vs. product features

Generic responses get skipped. We know the field is young — we'd rather hear about one deep experience than a list of tools you've touched.

Senior Full-Stack Developer — LifeChef Healthcare Platform | Medically Tailored Meals | HIPAA-Compliant

Hard requirements: Next.js App Router (not Pages) • TypeScript • AWS serverless • PostgreSQL • AI-assisted development workflow • Regulated industry experience. If you don't meet all of these, this isn't the role.

What You'll Build

LifeChef delivers Medically Tailored Meals through a HIPAA-compliant healthcare platform with clinical workflows, insurance billing, and third-party integrations. You're not building a food app — you're building healthcare infrastructure that touches patients, providers, and payers.

We're a small, senior team building toward an agentic AI layer for clinical operations. The platform integrates with NetSuite, HubSpot, RCM billing systems, Stripe, Canvas (LMS), and healthcare APIs. The work is complex, consequential, and interesting.

We're hiring two senior full-stack developers simultaneously. Both will work on parallel tracks: one focused on the AI/backend integration layer, the other on the patient-facing experience. If both perform, both stay. This isn't a bait-and-switch — it's a deliberate strategy to compress our roadmap.

The Stack

Core (daily use):

• Frontend: Next.js 16 App Router, React 19, React Server Components, TypeScript 5.9
• State management: XState (complex clinical workflow state machines), Zustand (client state)
• UI: Radix UI primitives / shadcn/ui component architecture, Tailwind CSS 4, CVA
• Forms & validation: React Hook Form + Zod v4 schema validation
• Backend: Node.js, TypeScript, Python (for AI/ML pipelines)
• Database: PostgreSQL with Drizzle ORM, complex queries, window functions, ledger patterns
• Cloud: AWS — Lambda, CDK, Amplify Gen 2, EventBridge, Step Functions, S3, SQS/SNS, KMS
• Observability: Pino structured logging, AWS Lambda Powertools (metrics), PHI-safe audit trails
• Payments: Stripe (webhooks, reconciliation, idempotency)
• Testing: Vitest (unit, integration, security test suites), Testing Library
• IaC: TypeScript-first infrastructure (CDK + Amplify), not ClickOps

Integrations:

• NetSuite (ERP / source of truth for financials)
• HubSpot (CRM / patient engagement)
• RCM billing systems
• Canvas EMR
• OpenWebUI (internal AI gateway with RBAC)

Dev workflow:

• Enso methodology with BMAD framework for spec-driven, AI-assisted development
• Husky + lint-staged with automated secret scanning on every commit
• PHI scanning enforced in CI (not optional — the pipeline blocks on violations)
• Environment isolation validation, compliance checks, audit-PHI validation — all automated
• Docker Compose for local development
• GitHub Actions CI/CD

What We Actually Require

If you don't meet these, save us both the time. We're direct about this because we respect yours.

• 5+ years full-stack development with TypeScript as your primary language
• Next.js App Router in production. Not Pages Router. Not tutorials. Shipped, maintained, Server Components and all.
• PostgreSQL depth. You can write window functions, CTEs, and think in terms of ledger patterns, double-entry accounting, and audit trails.
• AWS serverless architecture. Lambda, CDK or Amplify Gen 2, event-driven patterns. IaC, not console clicking.
• 2+ years in a regulated industry (healthcare, fintech, payments). You understand what it means to handle PHI/PII, write audit logs, and build with compliance as a design constraint — not a checkbox.
• AI-assisted development is your default workflow. You use Claude Code, Cursor, Copilot, or similar daily. Not as autocomplete — as a thinking partner. You plan before prompting, you validate output, you know when to trust it and when not to. This is non-negotiable.
• Spec-driven development mindset. We use the Enso methodology with the BMAD framework — every feature starts with a clear spec before code is written. If you're used to jumping straight to code without understanding the problem first, this will be a culture mismatch.
• Strong async communication. You write clearly, you document decisions, you don't need to be chased for updates.

What Sets You Apart

Not required, but moves you to the top:

• Experience with agentic AI development — not just using AI to write code, but designing systems where AI agents operate autonomously: LLM orchestration, tool-use architectures, eval frameworks, structured validation of AI output. We use the Enso methodology with spec-driven AI workflows, and we're building toward autonomous agentic systems for clinical operations. If you've worked in this space, tell us. If you haven't but it excites you, that matters too.
• HIPAA compliance experience specifically (not just "security-aware")
• XState experience — complex state machine design for business workflows
• Experience with agentic AI patterns — tool-use architectures, eval frameworks, multi-step autonomous workflows
• Drizzle ORM experience (vs. Prisma or raw queries)
• Familiarity with shadcn/ui / Radix primitives over opinionated component libraries (Material UI, Chakra)
• Zod for runtime schema validation across client and server boundaries
• Stripe integration depth beyond basic checkout — reconciliation, dispute handling, webhook reliability
• Double-entry accounting or financial ledger design patterns
• Vitest over Jest (you've made the switch and know why)

• Experience working in small teams (<10 engineers) where you own entire features end-to-end

   

How We Evaluate

No algorithm puzzles. No whiteboard hazing.

1. Quick-filter questionnaire (15 min) — Short, specific technical questions. If your answers show depth, you move forward.
2. System design conversation (60 min) — Real scenario from our domain. We'll discuss architecture, tradeoffs, and how you think about data integrity in a healthcare context.
3. AI-assisted live coding (90 min) — Build a real feature using AI tools. We're evaluating how you work with AI, not whether you can memorize APIs. Bring your preferred tools.
4. CTO conversation (60 min) — Architecture, culture fit, your questions for us. If we both like what we see, we start the trial.

The 60–90 day trial sprint has defined success criteria at 30, 60, and 90 days. You'll know exactly what "success" looks like before day one.

The Team

Small, senior, primarily Ukraine-based. No junior developers. No dead weight. Everyone ships.

The CTO has 20+ years of full-stack experience across healthcare, threat intelligence (FBI/CIA/DOD clients), and enterprise platforms. Technical, direct, builds systems — not org charts.

We use the Enso methodology — spec-driven, AI-augmented development with the BMAD framework. Every feature has a clear spec, validation criteria, and defined outcomes before a line of code is written. Compliance isn't a department — it's enforced in the pipeline. PHI scanning, secret detection, environment isolation, and audit validation all run automatically on every commit and in CI.

We're building toward an agentic AI architecture for clinical operations. If you want to work at the intersection of healthcare, AI, and serious infrastructure — this is the role.

How to Apply

Reply with:

• One paragraph on why this role specifically interests you (not a generic cover letter)
• Your experience with regulated industries — what compliance constraints have you built around?
• Which AI tools you use daily and how

We read every response. Generic templates get skipped.