Jobs at Djinni

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.

About us

We are looking for a Technical Account Manager who combines client-facing skills with a solid technical understanding to ensure successful product adoption and usage of solutions at Farsight Vision.

This role sits at the intersection of client success and technical consulting, where your goal is not only to manage relationships but also to help clients fully leverage the product.

Responsibilities

• Act as the main point of contact for clients with a focus on technical aspects of the product
• Understand client use cases and translate them into clear technical requirements
• Support clients during integration, onboarding, and ongoing product usage
• Collaborate closely with engineering, product, and support teams
• Assist with troubleshooting, issue resolution, and escalations
• Monitor product usage and proactively suggest improvements
• Conduct demos, onboarding sessions, and provide technical guidance
• Ensure transparency on account status, risks, and priorities

Requirements

• 3+ years in Technical Account Management / Customer Success / Technical Support in tech companies
• Strong understanding of technical products (APIs, integrations, systems, infrastructure)
• Ability to translate business needs into structured technical tasks
• Experience working with cross-functional teams (engineering, product)
• Strong communication and stakeholder management skills
• Proactive, problem-solving mindset
• Upper-intermediate+ English
   

Nice to have:

• Experience in defense / robotics / AI / hardware domains
• Familiarity with real-time systems or data processing
• Willingness to travel and participate in client demos
   

Why us

• Real impact — products used in critical, real-world environments
• Strong engineering culture 
• Startup dynamics — fast decisions, low bureaucracy
• Flexible setup — remote work, flexible schedule, paid vacation & sick leave

About Atlas Technica & our AI & Advisory Practice 

Atlas Technica is the premier technology partner for the world’s most sophisticated hedge funds, private equity firms, and RIAs. We power the infrastructure behind the scenes, and now we are building the "factory floor" for their next generation of alpha. We are evolving into the industry’s first Managed Intelligence Provider (MIP). 

Our AI & Advisory practice doesn't just sell licenses. We architect the secure blueprints and complex agentic frameworks that allow elite investment teams to operate at the frontier of GenAI. We are currently scaling a product lane centered on Intelligent Workflow Design: a tiered, institutional offering designed to rewire how fundamental research and investment operations happen. 

The Mission 

We are looking for a Principal, Agentic Strategy & Solutions to architect and pilot our client-facing advisory business. This is a strategic player-coach role for an elite practitioner who is tired of making slides and wants to actually build the future of high finance. 

You will start as our lead architect for client enablement, personally designing the multi-agent systems that drive real ROI for our clients. As the practice scales, you will have the mandate to hire and lead a specialized pod of 2–3 AI consultants, initially, ensuring our global delivery model remains as sharp as our code. 

What You’ll Own 

1. Strategic Product Development 

• Architect the Atlas "Agentic Workflow Training" series as a repeatable, institutional product. We want intensive cohorts and strategic office hours, not generic webinars. 
• Develop and maintain proprietary Pattern Libraries for complex fund strategies: 
• Long/Short Equity: Automating fundamental synthesis and 10-K/Q anomaly detection. 
• Macro / Multi-Strat: Building global news triage systems and cross-asset scenario companions. 
• Credit & Private Markets: Engineering covenant extraction and automated deal-memo synthesis. 
• Define the "Basic" vs "Advanced" AI Factory playbooks, ensuring we have a solution for every stage of client maturity. 

2. Hands-On Agentic Orchestration 

• Design sophisticated system prompts and multi-agent workflows.  
• Work daily in the "workbench": utilizing Claude, ChatGPT, … to ship production-ready patterns. 
• Establish robust evaluation harnesses to measure agent performance, hallucination risk, and research depth. You find a 1% error rate on a financial metric personally offensive. 

3. Executive Advisory & Client Delivery 

• Lead high-stakes design sprints for C-suite stakeholders at $10B+ AUM funds. 
• Partner with Sales and CTMs to translate "we want AI" into scoped, high-value consulting engagements that deliver. 

4. Internal Practice Enablement 

• Serve as the firm-wide "Internal Coach" for prompt and agent fluency. You’ll create the playbooks that empower our engineering teams to sustain these environments. 
• Contribute to R&D on "AI Defense," focusing on prompt safety and governance patterns for SEC and FINRA-regulated environments. 

Your DNA 

• The Consulting Pedigree: You have 7+ years of experience within a global consultancy (e.g., EY, Deloitte, Accenture, McKinsey, BCG) in a client-facing, engagement-leadership role. You know how to manage a room and a project plan. 
• The Builder Mindset: You are a daily practitioner of LLMs and orchestration frameworks. You don't just "manage" the tech; you operate in the terminal and understand what works. 
• Capital Markets Fluency: You speak the language of PMs, Research Analysts, and CCOs and understand the fundamental research process. 
• The Clever Edge: you can demystify "Retrieval Augmented Generation" for a non-technical COO while keeping the technical respect of a Principal Architect. 
• High-Velocity Orientation: You thrive in the "N of 1" environment where the tech changes weekly. You believe that shipping beat perfection every single time. 

What Success Looks Like (First 12 Months) 

• Q1-Q2: A codified training offer with a validated library of "Bronze" workflow families ready for global scale. 
• Q3-Q4: High NPS and measurable research compression for a cohort of pilot clients. 
• Practice Growth: A clear roadmap and your first 2–3 direct reports hired as practice revenue hits target milestones. 

Our client is an international product-based IT company specializing in the iGaming industry. Born in 2014, they rocked the CIS region, and now take the success to the world. 

We are currently looking for a Anti-Fraud Specialist to strengthen our fraud prevention efforts in betting and casino products. This role involves analyzing user behavior, identifying suspicious activity, and improving anti-fraud processes. We value a proactive, detail-oriented mindset and strong analytical thinking.

📋 Key responsibilities and your contribution:

- Monitoring and analyzing betting and casino games to detect abnormal activity, fraudulent schemes.
- Developing and implementing anti-fraud systems: creating and optimizing algorithms designed to prevent fraud in games.
- Analyzing players and their behavior using statistical methods to identify suspicious patterns.
- Responding to incidents: conducting investigations into suspicious situations, identifying and blocking fraudsters.
- Preparing reports: creating reports on detected frauds and system vulnerabilities.

📚 Your qualifications:

- 1+ year of experience in anti-fraud and security in gambling or related industries (e.g., online casinos, sports betting, poker sites).
- Knowledge of poker and casino games, understanding of various types of fraud in these areas (e.g., bot usage, exploiting bonus offers, player collusion, etc.).
- Experience with Excel and analytical tools: Tableau/ PowerBI (will be a plus) for data analysis and anomaly detection.
- Knowledge and understanding of anti-fraud systems, such as real-time fraud prevention systems (e.g., session monitoring, transaction processing).
- Ability to perform detailed data analysis and identify unconventional user behavior patterns.
- Monitor and detect marketing-related fraud activities (bonus abuse, multi-accounting, affiliate fraud, CPA traffic manipulation), analyze user behavior and traffic patterns.

➕ Nice to have:

- Experience with machine learning systems for analyzing player behavior.
- Creating dashboards in Tableau or other analytical tools.

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, equipped with the equipment you’ll need for success.

About the Role

We are looking for an experienced Engineering Manager to lead three SCRUM teams working on HotSchedules Labor, our workforce management product. You will own delivery, people management, and engineering processes across teams of full-stack Java developers, tech leads, and QA automation engineers.
 

This is a management-focused role. You will not write code daily, but you need strong technical depth to evaluate architectural decisions and challenge technical trade-offs. The teams use AI coding agents in their daily work, and you will be expected to support and grow this practice. The teams are distributed across Ukraine, Latin America, and the US. EU-timezone working hours are required. You will run cross-team ceremonies, stakeholder updates, and escalation calls, so strong English communication skills are a must.
 

Key Responsibilities

• Lead three SCRUM teams end-to-end: sprint planning, backlog refinement, retrospectives, and delivery commitments
• Own delivery outcomes and make sure teams consistently hit sprint goals and roadmap milestones
• Manage ~15-20 engineers across three teams: tech leads, senior full-stack developers, and QA automation engineers
• Run regular 1:1s, performance reviews, and career development conversations
• Remove blockers, manage cross-team dependencies, and escalate risks early
• Work with product management to align engineering capacity with business priorities
• Maintain engineering standards: code reviews, CI/CD discipline, test coverage, and release quality
• Expand the use of AI coding agents across all three teams, track adoption and productivity metrics, and report results to leadership
• Coordinate cross-team technical initiatives such as platform upgrades, migrations, and tech-debt reduction
• Own hiring for your teams: define staffing needs, run interviews, and onboard new members
• Report delivery status, risks, and metrics to senior leadership and client stakeholders
• Build and maintain a strong team culture across distributed time zones
   

Requirements

Must-Have

• Proven experience managing multiple engineering teams simultaneously, navigating cross-team dependencies and balancing competing priorities

8+ years of professional software development experience with a strong Java background

• Advanced English proficiency (daily meetings, stakeholder calls, and written communication)
• At least 6 months of hands-on experience with AI coding agents (e.g., Claude Code, GitHub Copilot, Cursor) or direct experience managing teams that actively use them
• Hands-on experience with at least one major cloud platform (AWS or Azure)
• EU-timezone availability

Strongly Preferred

• Track record of delivering software in Agile/SCRUM environments with distributed, international teams
• Solid understanding of the Java/Spring ecosystem, relational databases, and modern front-end frameworks (React)
• Experience managing QA functions, including test automation strategy and quality metrics
• Experience with capacity planning and delivery forecasting

Nice to Have

• Domain experience in workforce management, scheduling, or labor optimization
• Familiarity with event-driven and message-queue architectures
• Experience managing teams through legacy-to-modern migration efforts
• Exposure to Playwright-based test automation frameworks
• Experience with Azure DevOps pipelines and CI/CD orchestration across multiple teams

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 fast-growing cybersecurity technology company developing a large-scale platform for simulating cyberattacks and assessing security posture. The product includes complex web interfaces, high-load backend services, and cloud-native components.

Your Tasks:

• Design, develop, and maintain advanced frontend features using React and modern JavaScript (ES6+).
• Build complex UI components, interactive dashboards, and scalable, reusable component libraries (including Storybook).
• Own and evolve the frontend architecture, ensuring high performance, maintainability, and a consistent user experience across the platform.
• Optimize rendering behavior and application performance, minimizing unnecessary re-renders and improving perceived UI responsiveness.
• Collaborate closely with product managers, designers, and backend engineers to deliver high-quality features end to end.
• Participate in technical discussions, frontend architecture decisions, and code reviews.
• Integrate frontend applications with backend APIs (Node.js-based services).
• Work with Git-based workflows and CI/CD pipelines to ensure smooth delivery and deployment.
• Ensure clean, testable, and well-documented code following frontend best practices.

Required Experience & Skills:

• 5+ years of professional experience in frontend or web development.
• Senior-level expertise in React and the modern frontend ecosystem.
• Excellent command of JavaScript, with a deep understanding of how the language works (execution context, async behavior, data handling).
• Strong experience designing and maintaining reusable UI components and design systems (Storybook or similar).
• Solid understanding of frontend application architecture, state management strategies, and data flow patterns.
• Experience optimizing React applications for performance and scalability.
• Working knowledge of backend integration (REST APIs, Node.js services).
• Experience working with relational and/or NoSQL databases (e.g., PostgreSQL, MongoDB) at an integration level.
• Familiarity with CI/CD pipelines and modern development workflows.
• Strong focus on code quality, testing, and maintainability.
• English — Upper-Intermediate+ (written and spoken).

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 5 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 fast-growing technology company developing an advanced cloud optimization platform that helps enterprises improve efficiency and reduce infrastructure costs across multi-cloud environments. The solution leverages automation and AI-driven analytics to detect inefficiencies, recommend optimizations, and ensure scalable, cost-effective cloud operations.

Your tasks:

• Design and develop backend services for a large-scale cloud optimization platform.
• Own the full development cycle — from architecture and coding to testing and deployment.
• Collaborate with engineering and product teams to build scalable, high-performance systems.
• Research and implement innovative solutions for cloud resource analysis and automation.
• Contribute to system design, code quality, and best engineering practices.

Required Experience and Skills:

• 4+ years of experience in backend development.
• Strong knowledge of Go.
• Experience with cloud platforms (AWS, Azure, or GCP).
• Background in microservices or distributed systems.
• Experience building SaaS products in cloud environments.
• Strong problem-solving and communication skills.

Would be a plus:

• Experience with DevOps tools, Kubernetes, or CI/CD.
• Knowledge of monitoring, automation, or cloud cost management solutions.
• Familiarity with data analytics or AI-driven systems.

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.

Our Customer:

Our customer is a global, data-driven digital advertising technology company operating at large scale across mobile apps and web platforms.

Your Tasks:

• Analyze large, complex datasets to uncover patterns, insights, and business opportunities;
• Design, build, and own scalable, end-to-end data pipelines;
• Develop and productionize advanced machine learning models and algorithms, particularly in monetization-related domains;
• Build and maintain data models for real-time (online) processing;
• Contribute to the creation of new data-driven products and continuously improve existing ones;
• Collaborate with Product, BI, Analytics, DevOps, R&D, and Marketing teams to deliver complete solutions;
• Lead full production releases, including requirements analysis, testing, monitoring, result evaluation, and rapid response to critical issues.

Required Experience and Skills:

• 6+ years of experience as a Data Scientist with a strong foundation in machine learning concepts and models;
• Previous experience in the Ad-Tech industry;
• Hands-on experience working on large-scale, high-load systems processing billions of requests per second;
• Hands-on experience with Python including writing production-ready code and working with modern Python frameworks and tooling;
• Experience with data science / ML libraries and models, such as regression and classification models (e.g. XGBoost, LightGBM), recommendation systems, and related ML techniques;
• Solid understanding of databases and SQL for data analysis and retrieval;
• Experience with monitoring and alerting tools such as Grafana and Kibana;
• Proven experience working in real-time / online environments;
• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field;
• Strong end-to-end ownership mindset: ability to take solutions from research and experimentation through implementation and production;
• Fluent English with strong communication and collaboration skills.

Would Be a Plus:

• Familiarity with the programmatic advertising ecosystem (DSPs, SSPs, ad exchanges);
• Experience with relational databases (e.g. Vertica, VoltDB) and non-relational databases (e.g. MongoDB);
• Experience working with PMML.

Our Customer:

Our customer is a company operating in the retail industry, with a strong presence in the fashion sector.

Your Tasks:

Administer, configure, and maintain the NetSuite platform to support business operations.
Manage system setup, user roles, permissions, and workflows.
Monitor system performance and ensure stability, reliability, and optimization of NetSuite.
Customize NetSuite through scripts, workflows, and configurations to support business needs.
Develop and maintain NetSuite integrations with internal and external systems.
Support data management, reporting, and analytics related to NetSuite.
Identify opportunities for process automation and system improvements.
Provide technical expertise and best practices for NetSuite development and administration.

Required Experience and Skills:

Strong hands-on experience with NetSuite administration.
Solid understanding of NetSuite configuration, workflows, and system management.
Experience with SuiteScript or other NetSuite development tools.
Experience working with NetSuite integrations and data processes.
Ability to collaborate with business teams and translate business needs into technical solutions.
Strong analytical and problem-solving skills.
Fluent English with strong communication and collaboration skills.

Would Be a Plus:

Experience in the retail industry, especially fashion.
Experience working with data pipelines, analytics, or advanced reporting around NetSuite.
Experience integrating NetSuite with third-party platforms or e-commerce systems.
Previous experience supporting large or complex NetSuite environments.