Jobs

Tango is a successful, market leader, a live-streaming Platform with 450+ Million registered users, in an industry projected to reach $240 BILLION in the next couple of years. 

The B2C platform, based on the best-quality global video technology, allows millions of talented people around the world to create their own live content, engage with their fans and monetize their talents.

Tango live stream was founded in 2018 and is powered by 300+ global employees operating in a culture of growth, learning, and success!

The Tango team is a vigorous cocktail of hard workers, creative brains, energizers, geeks, overachievers, athletes, and more. We push the limits to bring our app from “one of the top” to “the leader”. 

The best way to describe Tango's work style is not to use the word “impossible”. And we believe that success is a thorny path that runs on sleepless nights, corporate parties, tough releases, and of course our users' smiles (and as we are a LIVE app, we truly get to see our users all around the world smiling right in front of us in real-time!).  

Responsibilities

• Stakeholder Collaboration: Act as the central point of communication between stakeholders and technical teams, ensuring alignment and clear understanding of goals.
• Proactive Initiative Management: Identify opportunities for product improvements, spearhead initiatives, and drive projects from ideation to execution.
• Production-Focused Execution: Adopt a "ship-to-production" mindset, prioritizing speed and efficiency in delivering features to live environments while maintaining high-quality standards.
• Product Strategy: Define and execute product roadmaps, ensuring alignment with business objectives and user needs.
• Data-Driven Decisions: Leverage data insights, user feedback, and industry trends to inform product decisions and enhance the user journey.
• Feature Ownership: Oversee the development lifecycle for new features, including ideation, prioritization, specification, and go-to-market planning.
• Performance Monitoring: Define success metrics, track performance, and iterate on features to optimize outcomes.

Requirements

• At least 5-6 years of proven experience in product management within the mobile app and/or web app. 
• Exceptional communication skills, with the ability to collaborate effectively across diverse teams and stakeholders.
• Demonstrated proactive approach in identifying opportunities and driving initiatives.
• Experience managing projects with a focus on fast delivery to production environments.
• Strong analytical skills and ability to use data to drive decisions.
• Proficiency in project management tools and methodologies. 
• At least Upper-Intermediate level of English.

What we offer:

• International company with several offices in different locations : Tel-Aviv, Kyiv, Warsaw, Limassol.
• Granting an Option;
• A professional environment with great people to work with;
• Competitive salary, performance review;
• Flexible working hours, no one here tracks your work time because our culture is built on trust and cooperation;
• Social and welfare packages;
• 20 working days paid vacation and 100% sick leaves coverage;
• Opportunities to make a difference, to develop and grow;
• Regular corporate celebrations, team buildings and fun activities;
• Comfortable office close to the metro station. Our Kyiv office is open 24/7 with all safety and health measures in place. Hybrid mode.

Summary

Backend Engineer, Node.js, Postgres. Remote role building core platform systems for an enterprise AI product. 5+ years of experience required.

About the company

Our client builds an AI platform that enables enterprises to customize and deploy AI capabilities for their specific needs. The platform team is central to this work, responsible for infrastructure, shared components, and internal tooling that the rest of engineering depends on.

The role

This is a hands-on implementation engineering position. You'll work on deploying, configuring, and integrating the platform for enterprise clients, translating their requirements into working solutions, deployed at clients' infrastructures. The role sits between product engineering and customer success: technically deep, but with awareness of real-world client needs.

You'll collaborate closely with platform engineers and business teams, occasionally joining business discussions to clarify technical requirements or explain implementation details.

What you'll work on

• Implementing and configuring platform deployments for enterprise customers
• Building integrations between the platform and client systems
• Working with internal teams to understand client requirements and translate them into technical solutions
• Contributing to implementation tooling, documentation, and repeatable deployment processes
• Troubleshooting and resolving issues during and after deployment
• Occasionally participating in client calls to gather requirements or provide technical guidance

What we're looking for

• Strong proficiency in Node.js and TypeScript
• Experience with React and frontend integration
• PostgreSQL/similar RDBMS and general data modeling knowledge
• Familiarity with cloud platforms (AWS, Azure, or GCP), multi-cloud exposure is valuable
• Clear communication skills, - comfortable explaining technical concepts to non-technical stakeholders
• Ability to work independently and manage multiple implementation workstreams
• 5+ years of software engineering experience

Useful additions / nice to haves

• Experience with AI platforms or AI/LLM integration
• Familiarity with CI/CD pipelines and infrastructure-as-code
• Vue.js experience
• Background in enterprise software implementation or professional services
• Previous work in similar roles

We are looking for a specialist to design and implement an end-to-end performance testing framework for a healthcare system running on Databricks and Microsoft Azure. You will build a repeatable, automated approach to measure and improve performance across data ingestion, ETL/ELT pipelines, Spark workloads, serving layers, APIs, security/identity flows, integration components, and presentation/UI, while meeting healthcare-grade security and compliance expectations.

This role sits at the intersection of performance engineering, cloud architecture, and test automation, with strong attention to regulated-domain requirements (privacy, auditability, access controls).

Key Responsibilities

• Design and build a performance testing strategy and framework for a Databricks + Azure healthcare platform.
• Define performance KPIs/SLOs (e.g., pipeline latency, throughput, job duration, cluster utilization, cost per run, data freshness).
• Create workload models that reflect production usage (batch, streaming, peak loads, concurrency, backfills).
• Create a test taxonomy: smoke perf, baseline benchmarks, load, stress, soak/endurance, spike tests, and capacity planning.
  
   
• Implement automated performance test suites for:
  • Databricks jobs/workflows (Workflows, Jobs API)
  • Spark/Delta Lake operations (reads/writes, mergers, compaction, Z-Ordering where relevant)
  • Data ingestion (ADF, Event Hubs, ADLS Gen2, Autoloader, etc. as applicable)
• Build test data generation and data anonymization/synthetic data approaches suitable for healthcare contexts.
• Instrument, collect, and analyze metrics from:
  • Spark UI / event logs
  • Databricks metrics and system tables
  • Azure Monitor / Log Analytics
  • Application logs and telemetry (if applicable)
• Produce actionable performance reports and dashboards (trend, regression detection, run-to-run comparability).
• Create performance tests for key user journeys (page load, search, dashboards) using appropriate tooling.
• Measure client-side and network timings and correlate them with API/backend performance.
• Integrate performance tests into CI/CD (Azure DevOps or GitHub Actions), including gating rules and baselines.
• Document framework usage, standards, and provide enablement to engineering teams.

Required Qualifications

• Proven experience building performance testing frameworks (not just executing tests), ideally for data platforms.
• Strong hands-on expertise with Databricks and Apache Spark performance tuning and troubleshooting.
• Strong knowledge of Azure services used in data platforms (commonly ADLS Gen2, ADF, Key Vault, Azure Monitor/Log Analytics; others as relevant).
• Strong programming/scripting ability in Python and/or Java/TypeScript.
• Familiarity with load/performance tools and approaches (e.g., custom harnesses, Locust/JMeter/k6 where appropriate, or Spark-specific benchmarking).
• Ability to design repeatable benchmarking (baseline creation, environment parity, noise reduction, statistical comparison).
• Understanding of data security and compliance needs typical for healthcare (e.g., HIPAA-like controls, access management, auditability; adapt to your jurisdiction).
• High-level proficiency in English

Nice-to-Have / Preferred

• Experience with Delta Lake optimization (OPTIMIZE, ZORDER, liquid clustering where applicable), streaming performance, and structured streaming.
• Experience with Terraform/IaC for reproducible test environments.
• Knowledge of Unity Catalog, data governance, and fine-grained access controls.
• Experience with OpenTelemetry tracing and correlation across UI → API → data workloads.
• FinOps mindset: performance improvements tied to cost efficiency on Databricks/Azure.
• Prior work on regulated domains (healthcare, pharma, insurance).

 Working Model

• Contract
• Remote
• Collaboration with Data Engineering, Platform Engineering, Security/Compliance, and Product teams.

We are seeking a skilled Data Engineer to join our team and contribute to the development of large- scale analytics platforms. The ideal candidate will have strong experience in cloud ecosystems such as Azure and AWS, as well as expertise in AI and machine learning applications. Knowledge of the healthcare industry and life sciences is a plus.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines for large-scale analytics platforms.
• Implement cloud-based solutions using Azure and AWS, ensuring reliability and performance.
• Work closely with data scientists and AI/ML teams to optimize data workflows.
• Ensure data quality, governance, and security across platforms.
• Collaborate with cross-functional teams to integrate data solutions into business processes.

Required Qualifications

• Bachelor's degree (or higher) in Computer Science, Engineering, or a related field.
• 3+ years of experience in data engineering, big data processing, and cloud-based architecture.
• Strong proficiency in cloud services (Azure, AWS) and distributed computing frameworks.
• Mandatory hands-on experience with Databricks (UC, DLTs, Delta Sharing, etc.)
• Expertise in SQL and database management systems (SQL Server, MySQL, etc.).
• Experience with data modeling, ETL processes, and data warehousing solutions.
• Knowledge of AI and machine learning concepts and their data requirements.
• Proficiency in Python, Scala, or similar programming languages.
• Basic knowledge of C# and/or Java programming.
• Familiarity with DevOps, CI/CD pipelines.
• High-level proficiency in English (written and spoken).

Preferred Qualifications

• Experience in the healthcare or life sciences industry.
• Understanding of regulatory compliance related to healthcare data (HIPAA, GDPR, etc.).
• Familiarity with interoperability standards such as HL7, FHIR, and EDI.

Partnership Manager 
(Channel Partnerships / Business Development)

About GigRadar

GigRadar helps B2B companies generate pipelines through cold outbound.

We’re growing fast and looking for a Partner Manager / Channel Partnerships Manager to build and scale our partner ecosystem across agencies, SaaS tools, consultants, and communities in the outbound and B2B growth space.

If you love building relationships, spotting win-win opportunities, and turning partnerships into revenue - THIS ROLE IS FOR YOU.

What You’ll Do

• Build and scale the partner ecosystem
  You will identify, recruit, and manage strategic partners that can help distribute GigRadar’s services and generate qualified opportunities.
  • Examples of partners include:
    • Outbound agencies
    • Sales consultants
    • GTM advisory firms
    • SaaS tools in the outbound stack
    • Communities in B2B SaaS and revenue operations
    • Develop revenue-generating partnerships

Your focus is not just partnerships for brand awareness but partnerships that drive real pipeline.

You will:

• Design partner collaboration models
• Launch co-marketing initiatives
• Create referral and revenue-share partnerships
• Build long-term strategic alliances

• Run the partner lifecycle

You will own the entire partnership journey:

• Prospect and identify potential partners
• Initiate conversations and evaluate fit
• Negotiate partnership structures
• Launch joint initiatives
• Maintain and grow partner relationships

• Drive co-marketing and community initiatives

You will collaborate with partners on:

• Webinars
• co-marketing campaigns
• industry events
• partner newsletters
• community engagement

The goal is to expand GigRadar’s reach within the outbound ecosystem.

• Turn partnerships into revenue

You will work closely with the growth and sales team to ensure partnerships translate into:

• qualified meetings
• new client acquisition
• strategic market exposure

What We’re Looking For

• Partnership builder mindset
• You are naturally curious and relationship-driven.
• You enjoy connecting people, creating win-win opportunities, and growing ecosystems.
• B2B SaaS / outbound industry exposure
• Experience in at least one of the following:
  • outbound sales
  • B2B SaaS
  • MarTech / sales tech
  • lead generation agencies
  • growth consulting
  • Business development experience

• You likely have experience in:
  • Partnerships
  • business development
  • channel management
  • strategic alliances

• Strong communication and networking skills

• You are comfortable:
  • initiating conversations with senior professionals
  • building relationships online and offline
  • representing a company in industry communities

• Self-driven and entrepreneurial

• This role requires someone who:
  • enjoys building things from zero
  • can operate independently
  • is comfortable experimenting with new partnership models

• Bonus Points

Experience with:

• outbound sales tools ecosystem (Apollo, Instantly, Smartlead, Clay, etc.)
• affiliate or referral programs
• community-led growth
• SaaS partnerships
• Eastern European / global tech communities

What Success Looks Like

Within your first months you will:

First 30 days

• Map the outbound / SaaS ecosystem
• Identify top partnership opportunities
• Start conversations with potential partners

First 90 days

• Launch first strategic partnerships
• Run co-marketing initiatives
• Generate first qualified leads via partners

6 months

• Build a repeatable partner pipeline
• Establish GigRadar as a recognized player in the outbound ecosystem

Why Join GigRadar

• Work with a fast-growing B2B growth company
• Build a global partner ecosystem from the ground up
• Collaborate with founders and growth leaders
• Fully remote environment
• Opportunity to directly influence company growth

Вимоги:

• Досвід роботи з Symfony або іншими PHP-фреймворками
• Досвід з PostgreSQL або іншою реляційною базою даних
• Досвід з MongoDB або іншою документоорієнтованою базою даних
• Досвід роботи з RabbitMQ або іншими брокерами повідомлень
• Глибокі знання ООП та шаблонів проєктування (Design Patterns)
• Досвід з Docker та розуміння його базової функціональності
• Впевнене володіння інструментами контролю версій, такими як Git
• Досвід віддаленої командної роботи та комунікаційні навички

• Сильні навички вирішення проблем з умінням проєктувати масштабовані, підтримувані та продуктивні рішення — а не лише писати код

  
  Буде плюсом:

• Досвід з мікросервісною архітектурою
• Досвід у сфері eCommerce
• Досвід з Kubernetes або базове розуміння його принципів
• Досвід роботи з Node.js, Python
• Гарний рівень англійської мови
• Системне мислення: розуміння того, як зміни впливають на ширшу архітектуру та продукт
• Проактивне ставлення та готовність доводити завдання від ідеї до впровадження і моніторингу

• Знання Domain-Driven Design та Event-Driven Architecture
   

  Обов’язки:

• Розробка бекенд-частини з використанням Symfony
• Розробка REST API
• Проєктування та реалізація складних багаторівневих програмних застосунків, документування та тестування систем, внесення змін за необхідності

• Самостійна робота та співпраця з іншими розробниками, архітекторами, менеджерами, командами QA та продукту

   

  Requirements:

• Experience with Symfony, or other PHP frameworks.
• Experience with PostgreSql or other relational database.
• Experience with MongoDB, or other document oriented database.
• Experience with RabbitMQ or with other message brokers.
• Proficient knowledge of OOP, Design Patterns.
• Experience with Docker and understanding of its basic functionality.
• Proficient understanding of code versioning tools, such as Git.
• Remote Teamwork experience, communication skills.

• Strong problem-solving skills with the ability to design scalable, maintainable, and performant solutions—not just write code.

   

  As a plus:

• Experience with microservice architecture.
• Experience with ecommerce.
• Experience with kubernetes, or basic understanding of principals
• Experience in Node.js, python.
• Good English
• Experience in systems thinking: understands how changes impact the wider architecture and product.
• Proactive ownership mindset: sees tasks through from idea to production and monitoring.

• Familiarity with domain-driven design and event-driven architectures.

   

  Responsibilities:

• Developing back-end part using Symfony
• Developing REST API
• Design and implement complex multi-tier software applications, document and test systems, modify as necessary.
• Work independently and with other engineers, architects, managers, QA and Product team, design and develop strategic and tactical processes and create solutions that meet business requirements.
• Review and provide recommendations related to engineering efforts, plan implementations and rollout for complex software applications.
• Participate in release management and on-call duties, and provide recommendations for project or production issues and diagnostics.
• Optimization of the application for maximum speed and scalability.
• Providing security and data protection.
• Accountable for delivery of personal commitments.
• Contribute towards a disciplined team culture by doing what is necessary to get the job done.
• Begin to facilitate release planning, story grooming and estimating.
• Participate in design and code reviews.

• Lead demos of completed work to stakeholders.

   

  We offer:

• Fully remote work
• Work with a professional team
• Friendly atmosphere
• Medical insurance
• Mental health support with the psychologist
• 22 working days of annual paid vacation
• Paid sick leaves — 10 days
• External learning compensation

Location: Remote

About Elevated Living Product

Elevated Living has been improving the resident experience for over seven years. We created a single, all-in-one platform that makes it easy for property managers and resident staff to work together. Our goal is simple: to provide the best experience for residents by replacing multiple, confusing apps with one easy solution.

This is a stable, long-term project that continues to grow, and you'll have the chance to be part of its ongoing success.

Our primary technology stack revolves around JavaScript. We use React for the front-end, Node.js for the back-end, and React Native for mobile development.

About the role: 

We’re looking for a senior React Native engineer to strengthen our platform engineering team. You’ll architect core mobile systems, build native-to-RN bridges, manage Fastlane pipelines, and lead OTA update strategies for a high-impact US product.

What skills are essential to us?
 

• 5+ years of development experience with React Native
• Practical knowledge of Vanilla JavaScript and TypeScript
• Experience working with REST APIs
• Hands-on experience with state management: Redux, Context API or MobX
• Strong understanding of ECMAScript specifications
• Good knowledge of Git and modern branching workflows
• English — Upper-Intermediate+

Advanced platform & mobile engineering skills (core for this Senior role):

• Understanding of Fastlane build pipelines
• Ability to write Native to React Native Bridges (iOS and/or Android)
• Experience with CodePush and/or Expo Updates

 What you will do

• Participate in QA activities across the full product development lifecycle
• Design test strategies, test cases, and end-to-end scenarios for backend systems and REST APIs
• Execute tests, identify issues, analyze root causes, and verify fixes
• Build and improve automation infrastructure and testing utilities
• Perform API, integration, system, and performance testing
• Monitor quality and performance metrics
• Define and improve QA processes, benchmarks, and quality standards
• Create analytical reports and visualizations to support product validation
• Design KPI-based validation frameworks for optimization performance
• Validate algorithmic outputs using data analysis and quantitative methods

Requirements

• 5+ years of commercial experience as SDET or Test Automation Engineer
• Strong Python skills
• Experience with API testing and microservices
• Experience designing and implementing test strategies
• Strong understanding of functional, integration, and performance testing
• Hands-on experience with NumPy and Pandas
• Experience analyzing large datasets and interpreting results
• Ability to validate algorithmic outputs using data-driven approaches
• Strong problem-solving skills and ownership mindset
• Good communication and collaboration skills

Nice to have

• Experience with Pytest
• Experience with matplotlib, plotly, or seaborn
• Experience with Rust or willingness to learn
• Exposure to GIS projects
• Experience with large-scale datasets or big data environments
• Background in statistics, operations research, or applied mathematics
• Mentoring experience

Tech stack

Python, API Testing, Microservices, NumPy, Pandas, Rust, Kotlin, AWS, Docker, Kubernetes, Terraform

We offer

• Compensation: up to 4800 USD gross
• Salary review once a year based on performance review results
• Cooperation via Diia.City / Diia Employment
• Possibility of reservation from mobilization in accordance with current legislation and internal company policy
• Remote-first work format
• Paid vacation and sick leave (depending on cooperation format / jurisdiction)
• Medical insurance: basic coverage + mental health and vision care (depending on package)
• Well-being initiatives: online yoga / movement sessions and activities to support work-life balance
• Learning and development: courses, webinars, certification support, and internal knowledge-sharing sessions
• Community and events: internal events, meetups, and team activities
• Recognition and gifts: celebration of important milestones, gifts, and thoughtful team attention
• Autonomy and impact: no micromanagement, possibily of make influence on technical decisions and engineering practices
• Supportive professional environment, open communication, and minimum bureaucracy

Requirements:

• Experience with Transformer models: BERT, RoBERTa, GPT, T5, LLaMA, Mistral, Falcon, etc.
• Strong knowledge of Python; experience with PyTorch, TensorFlow, and Hugging Face Transformers.
• Understanding of modern LLM architectures and fine-tuning techniques: LoRA, PEFT, Instruction Tuning, RAG.
• Experience with NLP tasks: classification, text generation, machine translation, QA systems, etc.
• Familiarity with evaluation metrics: accuracy, F1, BLEU, perplexity, ROUGE, etc.
• Basic knowledge of statistics and classical machine learning.
• Experience with MLflow, DVC, or similar tools.
• Experience with model containerization (Docker).
• Understanding of CI/CD principles in ML projects.
• Skills in model deployment using FastAPI / Flask / TorchServe / Triton.
• Experience with cloud infrastructure (AWS, GCP, Azure, or local cloud providers).

• Bonus: experience with Kubernetes, Airflow, Kubeflow, Ray.

   

Responsibilities:

• Selecting and configuring modern Transformer/LLM models for company-specific tasks.

Fine-tuning, LoRA tuning, model distillation, and quantization.

• Preparing and processing datasets (including augmentation).
• Deploying models to production and automating pipelines (data → training → inference).
• Monitoring model performance in production, retraining, and optimization.
• Collaborating with Data Engineers and DevOps to build the MLOps infrastructure.

• Evaluating model performance using various metrics and analyzing results to identify areas for improvement and optimization.

   

We offer you:

• Having the capability to create something new and witness your own input.
• You can find confidence in the future here, but rest assured it won't be dull. 
• Join a dynamic and expanding community. Our company is experiencing growth and expanding into Europe. Currently, we have offices in Kyiv, and Warsaw and plan to open additional locations in other countries. 
• Full-time employment contract.
• Multisport (light). 
• Paid vacation, sick leave.

Interested in joining our team? We invite you to submit your CV.

<By submitting your CV to LLC “GigaCloud”, EDRPOU code [39792589] (hereinafter referred to as the “Company”), in response to our vacancy, you consent to the processing of your personal data contained in the CV by the Company in accordance with the Law of Ukraine “On Personal Data Protection”, ISO 27701 Information Privacy Management System, and the provisions of the GDPR>.

Job Description

- At least 10 + years of relevant commercial development experience

- Good strong exp working as Tech Lead and leading a team of 3-4 people. Need strong technical person for this role

- Strong client handling communication skills
- Advanced knowledge of Java. Would be great to have Java 11 exp
- Good knowledge in Spring framework (Spring Core, Spring MVC, Spring Boot, etc.), Kubernetes, Docker, Microservices, Gradle etc. 
- Experience with relational databases
- Experience with React 
- Experience with message brokers
- Experience building RESTful APIs
- Experience with Docker
- Experience implementing CI/CD
- Unit testing (JUnit, Mockito) and integration testing
- Algorithms and data structures

- Upper-intermediate level of English
- Good communication and interpersonal skills
- Strong analytical skills

Job Responsibilities

- Backend development (Java) 90% 

- Frontend development (React) 10%

- Design and implement new features
- Debug and resolve bugs and technical issues
- Write and review technical documentation
- Support good quality of a product
- Gather and analyze business requirements
- Participate in code reviews and share knowledge within the team
- Constant close collaboration with the team members
- Participate in technical discussion
- Participate in technical interviews

Department/Project Description

• Customer is a US medical Company that is dedicated to transforming patient’s lives at scale by being the driving force to decentralize the delivery of safe care into their homes or other preferred sites of care.
• Project provides health systems with all that is needed to safely care for patients, including the clinical protocols, reimbursement model, platform technology, and fulfillment of all the clinical services required in the home through partners. Clinicians and patients broadly prefer this model over traditional care; both clinical and financial outcomes are improved as compared to traditional care.

Summary

Senior Backend Engineer, Node.js, Postgres. Remote role building core platform systems for an enterprise AI product. 5+ years experience required.

About the company

Our client builds an AI platform that enables enterprises to customize and deploy AI capabilities for their specific needs. The platform team is central to this work, responsible for infrastructure, shared components, and internal tooling that the rest of engineering depends on. The team works closely with product and applied AI engineers, with short feedback loops and genuine technical ownership.

The role

This is a backend-focused engineering position working on core platform systems. You'll design and build the foundational services that AI-native products run on — dealing with architecture decisions, performance problems, data modeling, and system reliability.

The work is technically demanding. When something difficult or critical needs to be solved properly, this role is expected to lead that effort.

What you'll work on

• Designing and implementing backend services and system components end-to-end
• Building infrastructure that supports fast iteration without sacrificing reliability
• Investigating and resolving complex issues across performance, data, and APIs
• Collaborating with platform, AI, and product teams to deliver systems that are observable and maintainable
• Improving developer experience through better tooling, clearer standards, and thoughtful architecture

What we're looking for

• 5+ years of software engineering experience with JavaScript tech stack, with clear ownership of complex backend systems
• Strong Node.js proficiency- clean, well-structured backend code matters here
• Solid understanding of relational databases (PostgreSQL) and data modeling
• Good debugging instincts and sound engineering judgement
• Ability to learn new domains quickly and work independently

Useful additions

• Experience with distributed systems, caching layers, message queues, or multi-tenant architectures
• Background in AI/LLM integration on the backend
• Familiarity with AI development platforms or coding assistants
• Previous work on enterprise platforms or AI infrastructure
• Platform/infrastructure experience: observability, CI/CD, API design

Core Responsibilities

 • Data Pipeline Management: Develop, optimize, and maintain scalable data pipelines to ensure high-quality data flow. 

• API Development: Build and maintain high-performance backend APIs using FastAPI. 

• System Reliability: Proactively identify bottlenecks and improve system stability within existing infrastructures.

 • Collaboration: Work closely with cross-functional teams to integrate AWS services and workflow orchestration tools into the production environment.

 

Required Qualifications 

• Experience: 3+ years of professional Python development experience. 

• Databases: Strong proficiency in both SQL and NoSQL database design and management. 

• DevOps Tools: Hands-on experience with Docker, CI/CD pipelines, and Git version control. 

• Frameworks: Proven experience building applications with FastAPI.

• Cloud & Orchestration: Practical experience with AWS services and familiarity with Airflow (or similar workflow orchestration tools). 

• Communication: Upper-Intermediate level of English (written and spoken) for effective team collaboration. 

 

 Preferred Skills (Nice to Have) 

• Experience within the Financial Domain. 

• Hands-on experience with Apache Spark and complex ETL pipelines.

• Knowledge of container orchestration using Kubernetes. 

• Exposure to or interest in Large Language Models (LLMs) and AI integration.

Our family-style company is looking for a Senior DevOps Engineer to build a new greenfield cloud platform from the ground up. You’ll design, implement, and operate a production-grade environment that supports multiple teams and environments across the full delivery lifecycle. This role is about ownership, autonomy, and building a reliable foundation with long-term impact.

About the Role
Our client, based in Munich, Germany, is looking for an experienced Senior DevOps Engineer to lead the architecture and implementation of a robust Azure Kubernetes (AKS) platform supporting multiple environments across the full software delivery lifecycle.

This is a hands-on individual contributor role with high autonomy and direct impact. You will take responsibility for building and evolving the platform using Infrastructure as Code, establishing GitOps-driven workflows, and embedding security best practices into every layer of the system. Success in this role means delivering a resilient, production-grade platform that balances speed, reliability, and long-term maintainability.

What you’ll do:

• Design and implement a multi-environment AKS platform on Azure with supporting infrastructure using Terraform
• Define and enforce infrastructure patterns, module structure, and deployment pipelines
• Set up and operate GitOps-based delivery workflows (Argo CD)
• Integrate observability tooling (Datadog) for metrics, logs, and traces
• Implement security best practices: RBAC, network policies, secrets management, supply chain security
• Manage Kubernetes cluster operations: upgrades, scaling, troubleshooting, hardening
• Collaborate with development teams to enable self-service platform capabilities.
   

What We’re Looking For (Must Have):

• 5+ years of professional experience in DevOps, Platform Engineering, or SRE roles
• Strong hands-on experience with Terraform (module design, state management, CI/CD for infrastructure)
• Production experience operating Kubernetes (AKS preferred; EKS/GKE acceptable if Azure fundamentals are solid)
• Solid understanding of Azure cloud services (networking, identity, compute, storage)
• Experience with GitOps tooling (Argo CD or Flux)
• Strong knowledge of Kubernetes networking, RBAC, and security hardening
• Experience with observability stacks (Datadog, Prometheus/Grafana, or similar)
• Familiarity with CI/CD pipelines and deployment automation
• Comfortable working with Git as the single source of truth for infrastructure and configuration.
   

Nice to have:

• Experience with Terragrunt, Spacelift, or similar Terraform workflow tooling
• Familiarity with Azure Entra ID (formerly Azure AD) and its Kubernetes integration
• Experience with service mesh technologies (Istio, Linkerd, Cilium)
• Knowledge of policy-as-code frameworks (OPA/Gatekeeper, Kyverno)
• Experience with container image security (including signing, scanning, and admission control) is important. A background in internal developer platforms and familiarity with SOC 2 or ISO 27001 in cloud-native environments would be a strong plus.
   

What We Are Looking For in a Candidate

Beyond technical skills, we value:

• Architectural thinking - ability to make and justify design decisions with trade-offs in mind
• Security-first mindset - defaults to secure; thinks about attack surfaces and least privilege naturally
• Pragmatism - builds what's needed, avoids over-engineering, focuses on maintainability
• Clear communication - can explain complex infrastructure concepts to both technical and non-technical stakeholders
• Ownership - takes responsibility for the platform end-to-end, from design through operations.
   

Our hiring process includes the following steps:

1. An initial introduction call with our recruiter team
2. A practical test task (take-home, ~4 hours) - candidates design a conceptual AKS platform architecture. No working code required; focus is on approach and thought process
3. An interview with our C-level team
4. A final technical interview with our client (~60-90 min) - discussion of the design task, deep-dive into past experience, and scenario-based questions
5. Job offer.
    

What we offer:

• A really promising long-lasting project (you will be proud of yourself)
• Sane and polite, but effective management
• The best corporate culture (according to our teammates' opinions)
• Competitive salary and other stuff
• Remote work, full time
• Becoming not just another team member, but a part of UKAD with unique value and long-term relationships.
   

Some facts about UKAD to help you make a decision:
During 2022-2025, we only increased cooperation with our foreign partners
UKAD combines benefits of family-sized companies, like no bureaucracy, easy access to the executives, with sustainable growth and vast opportunities
Our company is strong enough to be not just a vendor but a tech partner. We can afford to choose customers that respect developers
UKAD is one of the leading employers in Kharkiv, according to DOU.

Aren't we the company you're looking for?

We are seeking an experienced Senior Media Buyer with strong hands-on expertise in Native Ads to join our performance marketing team. This role is ideal for a results-driven professional who thrives on scaling campaigns, optimizing performance, and managing high ad spend budgets.
 

Responsibilities

• Plan, launch, and scale Native advertising campaigns
• Manage high-volume budgets and optimize for profitability
• Analyze performance metrics and identify growth opportunities
• Structure campaigns for scalability and efficiency
• Test, optimize, and iterate based on data insights
• Collaborate with internal teams to ensure consistent performance growth
   

Requirements

• Proven experience running Native traffic (Taboola, Outbrain, MSN, Mediago, etc.)
• Experience managing $300K+ monthly ad spend (current or within last 3 months)
• Strong performance marketing and optimization skills
• Experience in Crypto or CFD verticals
• Analytical mindset with a data-driven approach
• Advanced English proficiency (work with Tier-1 and Tier-2 GEOs)
• Experience with cloaking systems — plus, but not mandatory
   

What We Offer

• Competitive base salary
• Performance-based bonuses
• High earning potential — top performers earn $15K–$50K/month
   

Interview Process

Candidates should be prepared to share:

• Active or recent campaign data
• Performance metrics and results
• Budget levels and scaling strategies
• Optimization logic and structure
   

We’re looking for operators who deliver measurable results — not just theory.

If you consistently manage large budgets and generate profit, we’d love to hear from you.

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.