Jobs

Role Overview

We are looking for a hands-on Process Improvement Manager with practical experience from consumer finance companies, commercial banks, debt collection agencies, BPOs, or telecom operators. The ideal candidate has previously worked in roles such as Process Analyst, Operations Analyst, Business Analyst, Continuous Improvement Specialist, or Operations Manager (junior/middle level).

This role is operational and execution-focused. You will work directly with collections and customer operations teams and with the systems that support daily operational work.

Responsibilities: 

• Design, launch, and improve operational processes with a strong focus on:
  • Customer servicing and complaint handling
  • Debt collection and recovery processes (early, late, and NPL stages)
  • Contact center operations (inbound and outbound)

• Analyze collection and contact center workflows, identifying bottlenecks affecting contact rates, productivity, recovery, and quality

• Work directly with operational systems, including:
  • CRM systems (customer profiles, cases, workflows, collection statuses)
  • Contact center platforms and dialers (predictive, preview, outbound campaigns, inbound queues)
  • Collection logic and strategies (segmentation, bucket strategy, call frequency, scripts)
  • Reporting and BI tools (Excel, SQL-based reports, dashboards)
  • Internal databases supporting operational and performance tracking

• Support configuration, testing, and rollout of process and system changes together with IT and vendors
• Define, monitor, and improve operational KPIs such as contact rate, PTP, roll rates, resolution time, and agent productivity
• Prepare regular operational reports and analysis for Operations and Management
• Create and maintain clear process documentation, procedures, and system logic for operational teams

Requirements: 

• Higher education in mathematics, statistics, IT, economics, finance, or a related field
• At least 2 years of practical experience in operations, process management, or operational analytics
• Experience gained in consumer lending, banking operations, debt collection, contact centers, BPOs, or telecom companies
• Hands-on experience working with CRM systems and contact center / dialer platforms
• Strong data analysis skills with advanced Excel and SQL (T-SQL)
• Ability to work with operational and collection data and translate it into process improvements
• English proficiency at Intermediate level or higher

Will be a plus: 

• Direct experience in debt collection operations (early, late, or NPL)
• Experience setting up or optimizing collection strategies, call flows, and dialer logic
• Experience in banking back-office or loan servicing operations
• Knowledge of performance management and KPI frameworks
• Experience working with outsourced contact centers or BPOs
• Hands-on experience with Creatio CRM platform
• Experience working with Webitel contact center platform

We Offer

• Western-style corporate culture with a strong focus on execution and accountability
• Direct impact on how operational and collection processes are built and scaled
• Young, international, and highly collaborative team
• Exposure to fast-growing consumer finance and collections operations in emerging markets

Competitive remuneration package with fixed USD compensation

Location: Remote/Warsaw
Seniority: Mid-Senior
 

Role Overview

We’re looking for a Business & Operations Analyst to drive measurable efficiency across processes, systems, and reporting. You’ll uncover operational bottlenecks, automate workflows, and build actionable dashboards that guide leadership decisions. The ideal candidate blends analytical rigor (SQL/Python/Tableau) with operational tooling (CRM, contact center, CLM) and strong stakeholder management.

Key Responsibilities

• Map core business processes and implement improvements to reduce manual effort and cycle times.
• Build and maintain KPI dashboards (e.g., throughput, SLA adherence, backlog health, cost-to-serve) in Tableau/Excel.
• Analyze multi-system data (CRM, finance, call center, CLM) to identify inefficiencies and recommend fixes.
• Lead/coordinate tool rollouts or enhancements (e.g., CLM, CRM, contact center): requirements, UAT, adoption, training.
• Partner with Ops/Finance/COO to support budgeting, forecasting, and monthly management reporting.
• Own data quality routines and cross-system reconciliations; define governance and documentation.
• Establish monitoring and alerting for process health and SLA breaches.

Must-Have Qualifications

• 3–5+ years in Business Operations / Operations Analytics / Finance Operations.
• Solid SQL and Excel; working Python for data manipulation/automation.
• BI development experience (Tableau strongly preferred).
• Hands-on with CRM and/or operational platforms (e.g., Zoho CRM/Books, Salesforce, RingCentral, CLM tools).
• Demonstrated process improvement/automation outcomes with quantified impact.
• Strong stakeholder communication and ability to influence across functions.

Nice-to-Have

• Experience with ContractPodAI (or other CLM), SAP (Ariba), Jira/Confluence.
• BPMN/UML familiarity (e.g., Enterprise Architect).
• Exposure to program or budget ownership.
• Knowledge of RevOps or customer operations metrics.

Success Metrics (example KPIs)

• 20–40% reduction in manual effort within key workflows.
• 15–30% cycle-time reduction for target processes.
• Dashboard adoption by leadership with defined usage cadence.
• Improved data accuracy (e.g., <2% discrepancy across systems).
• On-time/on-budget delivery of tool rollouts.

Tech Stack

SQL, Python, Tableau, Excel; Zoho (CRM/Books), Salesforce, RingCentral; CLM (e.g., ContractPodAI); Jira/Confluence; SAP Ariba.

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 client is an international product-based IT company specializing in the iGaming industry. Founded in 2014, the company has been successfully operating on the market for more than 11 years, bringing together a team of 390+ professionals. Starting as a leader in the CIS region, the company is now actively expanding on a global scale.

We are currently looking for an Junior Account/Support Manager to manage partner relationships, oversee account operations, and ensure accurate financial tracking in the media buying process. The role combines operations, reporting, and communication with partners and internal teams.

📋 Key responsibilities and your contribution:

• Work with partners and contractors, including sourcing and onboarding new partners (account agencies, farm/log/proxy suppliers, and other consumables), maintaining and developing relationships, as well as negotiating cooperation terms and ensuring compliance.
• Maintain reporting on accounts and partners, including preparation and submission of account IDs for financial reporting
• Manage account tracking within the media buying PnL framework.
• Oversee procurement of accounts and other consumables.
• Monitor balances and expenses, perform regular reconciliations with agencies, and track remaining balances with partners.
• Facilitate communication between media buyers and agency support teams, and assist in resolving technical and operational issues related to accounts.
• Minimize risks of fund leakage or unauthorized use of accounts by third parties.
• Contribute to optimizing processes between the media buying team and external partners

📚 Your qualifications:

• 1+ year of experience in sales, account management, operations, support, partner/vendor management, or similar roles.
• Strong reporting skills and proficiency in spreadsheets (Google Sheets / Excel).
• Ability to monitor balances, expenses, and resource allocation.
• Capability to handle large volumes of data and manage multiple accounts simultaneously.
• High level of attention to detail, responsibility, and accuracy when working with financial and account-related data.
• Strong communication skills, including interaction with contractors and partners.
• Stress resilience and ability to work in a multitasking environment.

• Willingness to work remotely on a shift schedule (day and evening shifts).

   

➕ Nice to have:

• Basic understanding of media buying processes and working with advertising accounts.
• Understanding of account infrastructure (accounts, proxies, farms, logs, etc.).
• Experience in support teams, operational support, or partner/vendor management.

Benefits:

⭐ Days of recovery: 20 paid vacation day per year and unlimited sick leave days.
⭐ Health: corporate medical insurance, a company psychologist and a Cafeteria of Benefits for personal wellness choices.
⭐ Education: a variety of foreign languages course for you to choose from. Also we are open for your development and you can choose different courses/training for improving your skills.
⭐ Compensation: additional benefits that can be used according to company policy, e.g. paid business trips, international conference opportunities, lunch perks at our offices etc.
⭐ Work Environment: work remotely or from one of our offices in Cyprus, Portugal, Poland.

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.

We are looking for a skillful Senior Full-Stack .NET Engineer. A perfect candidate must be able to adjust to constant business change. Common types of changes include new requirements, evolving goals and strategies, and emerging technologies.
 

About the client:

Founded in 1948, Fluke Corporation is a huge US-based enterprise with over 2,500 employees. It is a world leader in compact, professional electronic test tools, and software for measuring and condition monitoring.

We are collaborating on the solutions for the mobile operation, control, and maintenance of automated systems. The company’s products are designed for environments where downtime is a critical issue such as airports, warehouses, distribution centers, manufacturing operations, power stations, water treatment facilities, or renewable energy farms. The solutions are used by global leaders in manufacturing, airport operations, and logistics, such as Honda North America, Toyota UK, Volkswagen, Boston Logan Airport, Allessa Chemie, Zalando, Baur, Brillux, as well as many airports in Europe.

X5 eMaint - A CMMS software solution that centralizes maintenance information, facilitates processes, and automates some tasks to improve efficiency. Computerized maintenance management system software optimizes the use, availability, and life span of equipment, machinery, fleets, infrastructures, facilities, or operations
 

Requirements:

• At least 5 years of experience in software development projects. 
• Experience in working with big enterprise project
• Experience with implementing enterprise cloud native solutions in AWS (preferred) or MS Azure. 
• Experience in designing and developing asynchronous message-driven micro services with experience in RabbitMQ or similar. 
• Good knowledge in Relational and Non Relational DB design. 
• Good knowledge in functional and/or object-oriented software design and  domain-driven design (desired) using .NET and C#.  
• Experience in designing and developing user interfaces with React.js, TypeScript (desired) and CSS/Sass. 
• Practical knowledge designing RESTful and GraphQL (desired) API. 
• Good knowledge in Continuous integration and delivery best practices. 
• Upper-intermediate level of English (both oral and written)
   

Nice to have:

• Experience collaborating with UX and Product  
• Experience and passion for developing visually polished, engaging and fluid interfaces.
• Excellent problem-solving and collaboration skills.  
• Great written, verbal, technical and  interpersonal communications skills. 
   

Responsibilities:

• Design and implement complex, scalable, and maintainable full-stack solutions that  align with business goals.  
• Provide technical leadership, mentoring, and guidance to a team of developers, fostering a culture of continuous learning  and improvement. 
• Write efficient, testable, and maintainable code. 
• Drive initiatives to improve development  processes, automation, and overall team efficiency. 
• Troubleshoot and resolve technical issues, identifying root causes and implementing effective solutions. 
• Collaborate with stakeholders across the company including engineering, product,  support, and marketing to launch new features.
• Product development within Fluke Reliability is  an internationally distributed and diverse  organization. We embrace a culture of  innovation, continuous improvement, and individual empowerment to provide an  environment where individuals can grow and thrive.

Our Customer:

Our client is a forward-thinking early-stage startup creating next-generation GPU efficiency solutions and developing performance layers for AI and LLM workloads..

Your tasks:

• Design and enhance GPU software infrastructure.
• Work with CUDA, OpenCL, ROCm, and LLVM to boost computational performance.
  Drive code compilation and transformation workflows from CPU to GPU.
• Develop scalable high-performance computing and AI infrastructure layers.
  Collaborate with top-tier engineers across GPU, AI, and compiler domains.

Required Experience and Skills:

• 5+ years of hands-on experience working with GPU, compiler, or HPC technologies.
• Strong expertise in performance tuning, GPU memory management, and computer architecture.
• Expertise and passion for performance, latency, and optimization.
• Would be a plus:
  Experience with HPC, LLM systems, or AI infrastructure.

Our Customer:

A global technology company developing real-time video augmentation and rendering infrastructure for broadcast and streaming environments.

Your tasks:

• Develop and maintain the backend pipeline to monitor, synchronize, and manipulate video streams such as SRT & HLS and MySQL resources on the cloud;
• Integrate and manage modules written both in C++ and Node.js;
• Implement a complex metadata system over AWS, including S3 security access and acceleration;
• Design and deploy backend architecture (NodeJs) to manage data allocation and pipeline control;
• Create and maintain a dashboard to monitor pipeline status and performance.

Required Experience and Skills:

• Over 8 years of experience with Node.js;
• Experience with AWS, including S3, RDS, and CloudFront;
• Experience in real-time video processing;
• Deep understanding of rendering synchronization techniques for multimedia content in a web browser environment;
• Hands-on experience with WebGL;
• Familiarity with DRM video streams (SRT, HLS) and Image Processing in the browser;
• Excellent problem-solving skills and attention to detail;
• Ability to work independently and in a collaborative team environment;
• Strong communication skills;
• English – Upper-Intermediate.

Would be a plus:

• Experience with database management, particularly MySQL;
• Experience with C++ realtime programming;
• Knowledge of modern DevOps practices and tools;
• Previous experience with sports broadcasting and AR technology.

Our Customer:

A global technology company developing real-time video augmentation and rendering infrastructure for broadcast and streaming environments.

Responsibilities:

• Design and implement a native video playback extension that augments HLS streams at runtime across platforms such as Android (ExoPlayer), webOS, Roku, and others;
• Build and maintain a cross-platform rendering layer using OpenGL for real-time video frame processing and compositing;
• Integrate GPU-based overlays and visual transformations directly into the playback pipeline with strict frame-accurate synchronization;
• Develop device-aware architecture to handle platform-specific decoding, rendering surfaces, hardware acceleration constraints, and performance tuning;
• Integrate external SDKs and APIs alongside an internal AR/graphics processing pipeline;
• Optimize rendering performance, memory usage, and latency under real-time streaming constraints;
• Collaborate with QA and Product teams to validate rendering accuracy, synchronization precision, and cross-device stability.

Required experience and skills:

• Strong hands-on experience with OpenGL (mandatory, core skill), including shader programming and GPU pipeline understanding;
• Solid knowledge of real-time rendering concepts (frame buffers, textures, shaders, synchronization, GPU/CPU interaction);
• Experience integrating OpenGL with native video playback surfaces;
• Strong experience with Kotlin for Android development;
• Practical experience with HLS streaming internals and playback customization;
• Strong understanding of video decoding/rendering pipelines and frame timing control;
• Experience with native video players on at least one of the following platforms: Android (ExoPlayer), webOS, RokuTV;
• Experience implementing low-latency video overlays and graphical composition;
• Understanding of hardware acceleration and performance optimization on embedded/TV devices;
• Proven background in full-cycle software engineering (integration, profiling, debugging, optimization);
• English — Upper-Intermediate+.

Our Customer:

Our client is a technology-focused company building high-performance, real-time ML inference systems. The team develops ultra-low-latency engines that process billions of requests per day, integrating ML models with business-critical decision-making pipelines. They are looking for an experienced backend engineer to own and scale production-grade ML services with strong focus on latency, reliability, and observability.

Your tasks:

• Lead the design and development of low-latency ML inference services handling massive request volumes.
• Build and scale real-time decision-making engines, integrating ML models with business logic under strict SLAs.
• Collaborate closely with data scientists to deploy ML models seamlessly and reliably in production.
• Design systems for model versioning, shadowing, and A/B testing at runtime.
• Ensure high availability, scalability, and observability of production systems.
• Continuously optimize latency, throughput, and cost-efficiency using modern tools and techniques.
• Work independently while collaborating with cross-functional teams including Algo, Infrastructure, Product, Engineering, and Business stakeholders.

Required Experience and Skills:

• B.Sc. or M.Sc. in Computer Science, Software Engineering, or related technical field.
• 5+ years of experience building high-performance backend or ML inference systems.
• Expert in Python and experience with low-latency APIs and real-time serving frameworks (e.g., FastAPI, Triton Inference Server, TorchServe, BentoML).
• Experience with scalable service architectures, message queues (Kafka, Pub/Sub), and asynchronous processing.
• Strong understanding of model deployment, online/offline feature parity, and real-time monitoring.
• Experience with cloud environments (AWS, GCP, OCI) and container orchestration (Kubernetes).
• Familiarity with in-memory and NoSQL databases (Aerospike, Redis, Bigtable) for ultra-fast data access.
• Experience with observability stacks (Prometheus, Grafana, OpenTelemetry) and alerting/diagnostics best practices.
• Strong ownership mindset and ability to deliver solutions end-to-end.
• Passion for performance, clean architecture, and impactful systems.

Would be a plus:

• Prior experience leading high-throughput, low-latency ML systems in production.
• Knowledge of real-time feature pipelines and streaming data platforms.
• Familiarity with advanced monitoring and profiling techniques for ML services.