Jobs at Djinni

About the Project

We’re building an AI-powered video platform that aggregates and processes content from multiple social media sources. Users interact with video data through contextual search, LLM-powered features, and AI agent workflows.

We’re looking for a Full-Stack Engineer with a strong frontend focus who is comfortable owning complex React functionality while also contributing to Node.js backend services and AWS-based infrastructure.

Tech Stack

Frontend

• React 19
• TypeScript
• Vite
• React Query
• Zod
• AWS Amplify
• Axios
• i18next
• Tailwind CSS
• Ant Design
• React Toastify

Backend

• Node.js
• TypeScript
• AWS Lambda
• AWS SDK
• Express
• Serverless Framework
• Zod
• Lodash

Cloud & Infrastructure

• AWS
• Lambda
• Cognito
• DynamoDB
• Step Functions
• Serverless
• Terraform

Python / AI services

• Python 3.13
• Pydantic
• Strands Agents
• boto3
• AWS Lambda Powertools

Your Role

As a Full-Stack Engineer with a frontend focus, you’ll take ownership of the web application and work closely with backend and AI services.

Most of your work will be around React and TypeScript, but you should also be comfortable working with Node.js backend services, APIs, and AWS infrastructure.

Python is used mainly within AI and agent-related services. Deep Python expertise is not required, but you should be comfortable reading and understanding an existing Python codebase.

Responsibilities

• Develop and maintain complex frontend functionality using React and TypeScript
• Build reusable, scalable, and maintainable UI components
• Work with asynchronous data flows, APIs, React Query, and client-side state
• Integrate frontend functionality with backend and AI-powered services
• Contribute to backend services using Node.js and TypeScript
• Work with AWS services including Lambda, Cognito, DynamoDB, and Step Functions
• Collaborate on application architecture and technical decisions
• Troubleshoot frontend performance and integration issues
• Participate in code reviews and maintain high engineering standards
• Work closely with product, backend, and AI engineers

What We’re Looking For

• Mid-to-Senior level experience in full-stack software development
• Strong commercial experience with React and TypeScript
• Strong understanding of modern frontend architecture and component design
• Experience with API integrations and asynchronous frontend workflows
• Good practical experience with Node.js and TypeScript
• Understanding of backend architecture and REST APIs
• Experience working with AWS or similar cloud infrastructure
• Familiarity with services such as Lambda, Cognito, DynamoDB, or Step Functions
• Basic familiarity with Python and ability to understand an existing Python codebase
• Ability to independently own features from implementation through production
• English B2 or higher

Nice to Have

AI / LLM

• Experience integrating OpenAI, Anthropic, or Google GenAI APIs
• Familiarity with AWS Bedrock / Bedrock AgentCore
• Familiarity with AI agent frameworks or LLM-powered applications

Infrastructure & Observability

• Terraform
• Serverless Framework
• Datadog
• ddtrace

• AWS X-Ray

   

Being part of 3asoft means having

• High level of flexibility and freedom
• Direct communication with international customers
• Competitive compensation paid in USD
• Fully remote work

About the Project

We’re building an AI-powered video platform that aggregates and processes content from multiple social media sources. Users interact with video data through contextual search, LLM-powered features, and AI agent workflows.

You’ll join a small, focused engineering team working closely with technical leadership and product stakeholders, contributing across the stack with a strong focus on backend development and AWS infrastructure.

Tech Stack

Backend — Node.js / TypeScript

• Node.js
• TypeScript
• AWS Lambda
• AWS SDK
• Express
• Serverless Framework
• Zod
• Lodash

Backend — Python

• Python 3.13
• Pydantic
• Strands Agents / Strands Agents Tools
• boto3
• AWS Lambda Powertools
• Loguru
• httpx / requests / aiohttp
• uv

Frontend

• React 19
• TypeScript
• Vite
• React Query
• Zod
• AWS Amplify
• Axios
• i18next
• Tailwind CSS
• Ant Design
• React Toastify

Cloud & Infrastructure

• AWS
• Lambda
• Cognito
• DynamoDB
• Step Functions
• Serverless
• Terraform

Your Role

As a Full-Stack Engineer with a backend focus, you’ll work across the application while taking significant ownership of backend services, APIs, AWS infrastructure, and integrations.

The core backend stack is Node.js / TypeScript, with Python used for AI agents and related services. You’ll also contribute to React-based frontend development when needed.

Responsibilities

• Design, develop, and maintain backend services using Node.js and TypeScript
• Build and maintain serverless services and APIs on AWS Lambda
• Work with AWS services including Cognito, DynamoDB, Lambda, and Step Functions
• Develop integrations between backend services, AI agents, and external APIs
• Contribute to Python-based AI and agent services
• Build and maintain frontend functionality using React and TypeScript
• Design reliable data flows and asynchronous workflows
• Contribute to AWS infrastructure and Infrastructure-as-Code
• Troubleshoot performance, integration, and production issues across the stack

• Collaborate with product, AI, and engineering teams on architecture and implementation decisions

   

What We’re Looking For

• Mid-to-Senior level experience in full-stack software development
• Strong commercial experience with Node.js and TypeScript
• Strong experience with React and TypeScript
• Good understanding of backend architecture and REST APIs
• Practical experience with AWS, particularly serverless architecture
• Experience with services such as Lambda, Cognito, DynamoDB, and Step Functions
• At least basic-to-intermediate knowledge of Python and the ability to work with an existing Python codebase
• Understanding of Infrastructure-as-Code and cloud infrastructure
• Ability to work independently and take ownership of technical solutions
• English B2 or higher

Nice to Have

AI / LLM integrations

• Experience integrating OpenAI, Anthropic, or Google GenAI
• Experience with AWS Bedrock / Bedrock AgentCore
• Familiarity with Instructor
• Experience with AI agent frameworks, ideally Strands Agents
• Experience building LLM-powered workflows or agent-based systems

Observability

• Datadog
• ddtrace
• datadog-lambda

• AWS X-Ray

   

Infrastructure

• Terraform
• Serverless Framework
• Experience designing event-driven or distributed AWS architectures

Being part of 3asoft means having

• High level of flexibility and freedom
• Direct communication with international customers
• Competitive compensation paid in USD
• Fully remote work

About the Project

We are building a modern cloud-based web platform designed to deliver scalable and reliable solutions for its users. The product combines a robust Python backend with a dynamic React frontend and relies on AWS services to support a flexible, cloud-native architecture.

What you'll do:

• Develop and maintain end-to-end product features across backend and frontend.
• Build scalable backend services using Python and FastAPI.
• Create responsive and maintainable interfaces with React and JavaScript/TypeScript.
• Design, integrate, and maintain GraphQL and REST APIs.
• Work with relational and NoSQL databases depending on the product requirements.
• Develop and integrate cloud-based solutions using AWS services.
• Contribute to application architecture and help improve scalability, reliability, and performance.
• Implement and maintain effective logging, monitoring, and observability practices.
• Participate in code reviews, technical discussions, debugging, and collaborative development processes.

• Work closely with other engineers and stakeholders to turn product requirements into reliable technical solutions.

   

Requirements:

• 5+ years of professional experience in software development.
• Strong hands-on experience with Python and FastAPI.
• Solid background in React and modern JavaScript/TypeScript development.
• Practical experience designing and integrating GraphQL APIs.
• Good knowledge of relational databases such as PostgreSQL or MySQL.
• Experience building applications on AWS and working with services such as Lambda, DynamoDB, S3, AppSync, and CloudWatch.
• Understanding of cloud-native architecture and modern approaches to building scalable web applications.
• Experience with application monitoring, logging, and observability.
• Good knowledge of REST APIs, authentication mechanisms, and web application architecture.
• Confident use of Git and experience working within collaborative engineering teams.
• Upper-Intermediate English (B2) or higher.

We are looking for a Senior DevOps Engineer to join our client's project and help build, migrate, and operate a secure and scalable cloud infrastructure.

This is an outstaff position, meaning you will work as a dedicated engineer directly on the client's project.

What You'll Do

• Build and maintain cloud infrastructure with GCP as the primary cloud platform
• Support cloud migration and modernization of existing infrastructure and workloads
• Design and maintain Infrastructure as Code using Terraform
• Build and improve CI/CD pipelines and implement GitOps practices
• Work with Kubernetes, Docker, and containerized workloads
• Improve cloud security, access management, secrets management, backup and disaster recovery
• Develop monitoring, logging, alerting, and observability solutions
• Support reliable and secure production environments
• Automate infrastructure and operational processes using Bash and/or Python
• Collaborate with developers and other engineering teams in a distributed environment

What We’re Looking For

• 5+ years of experience in DevOps, SRE, Platform Engineering, or Infrastructure Engineering
• Strong hands-on experience with GCP — this is a key requirement
• Practical experience with Terraform / Infrastructure as Code
• Strong knowledge of Kubernetes and Docker
• Experience designing and maintaining CI/CD pipelines
• Experience with GitOps tools and practices, such as ArgoCD or FluxCD
• Strong understanding of Linux and networking
• Experience with cloud security, IAM, secrets management, monitoring, backup, and disaster recovery
• Scripting skills in Bash and/or Python
• Experience working with production infrastructure
• Good spoken and written English
• Ability to work independently and take ownership of infrastructure-related tasks

Nice to Have

• Experience with AWS
• Experience with databases such as PostgreSQL, MongoDB, Redis, or RabbitMQ
• Experience with observability tools such as Prometheus, Grafana, Loki, or OpenTelemetry
• Experience with legacy-to-cloud or on-premise-to-cloud migrations
• Experience with AI/LLM infrastructure or AI-assisted development tools
• Experience with security scanning and DevSecOps practices

Working Conditions

• Outstaff position — dedicated work on the client's project
• Remote
• Full-time, Monday to Friday
• Working hours: 9:00 AM–6:00 PM
• Hourly payment
• Please specify your expected gross hourly rate when applying
• Vacation is initially unpaid
• After successfully completing a 6-month adaptation period on the project, there may be an opportunity to discuss joining the company's internal team
• In this case, the benefits package may include 1.75 paid vacation days accrued per completed month of work and 5 sick days per year

Hiring Process

1. HR Interview
2. Technical Interview with the Client
3. Final Decision & Offer

Description:

Triton Growth is a Vancouver-based performance marketing agency. We run paid acquisition for high-ticket education, coaching, and info-product clients in North America. We manage 7-figure monthly ad spend across Meta, Google, and YouTube.

We're hiring a senior Meta media buyer to own client accounts end to end.
 

What you'll do:

• Own 2-4 client accounts: strategy, campaign builds, daily optimization, scaling
• Manage $50K-$300K+/month in spend per account
• Brief creative teams on new angles and iterations based on performance data
• Join weekly client calls with North American clients and present results

Requirements:

• 3+ years buying Meta traffic, with $50K+/month managed personally (you'll walk us through real accounts)
• Direct response background: lead gen, webinar, VSL, or call funnels. Ecom-only experience is not a fit
• Fluent spoken English. This is a client-facing role, not a backend one
• You can defend media buying decisions with data, not vibes

What you get:

• USD compensation, paid monthly, full-time contractor
• Fully remote, some overlap with Pacific time mornings required
• Direct access to founders, no layers
• High-ticket niche experience that compounds your market value

Hiring process: 
2-min Loom with application → 20-min video call → paid test task ($300) → offer with 30-day paid trial.

Triton Growth is a Vancouver-based performance marketing agency and a Google Premier Partner + YouTube Select Partner. We run paid acquisition for high-ticket education, coaching, and info-product clients in North America, with 4B+ ad views delivered.

We're hiring a senior YouTube media buyer to own client accounts end to end.
 

What you'll do:

• Own client accounts across YouTube In-Stream and Demand Gen: strategy, builds, optimization, scaling
• Manage $50K-$300K+/month in spend per account
• Work with our creative team on hooks, scripts, and ad iterations driven by performance data
• Join weekly client calls with North American clients and present results

Requirements:

• 3+ years on Google Ads with significant YouTube direct response experience, $50K+/month managed personally
• You understand DR fundamentals: CPA/ROAS targets, funnel math, creative testing. Brand/awareness-only YouTube experience is not a fit
• Fluent spoken English. This is a client-facing role
• Strong Meta experience alongside YouTube is a plus, not required

What you get:

• USD compensation, paid monthly, full-time contractor
• Fully remote, some overlap with Pacific time mornings required
• Learn from a team that runs YouTube DR at a level very few agencies do
• Direct access to founders, no layers

Hiring process: 2-min Loom with application → 20-min video call → paid test task ($300) → offer with 30-day paid trial.

Our startup is growing fast, and we already have real clients using and testing the product. That is why we are looking for a strong Frontend Developer with solid experience in Vue.js / Nuxt.js who wants to join us at an early stage and become part of building a real technology company.

We are especially interested in candidates with experience building SaaS, dashboards, platforms, B2B products, and complex web applications - not only landing pages or regular websites. We would also like to understand what you personally built, what responsibilities you had, and what technical problems you solved.
 

English B1-B2 is required, as English is the main language of communication within our international team.

What We Are Looking For

• Strong practical experience with Vue.js 3
• Good experience with Nuxt 3
• Strong knowledge of JavaScript / TypeScript
• Good understanding of HTML, CSS and responsive web development
• Experience working with REST APIs and integrating frontend applications with backend services
• Understanding of component architecture, state management and modern frontend development practices
• Ability to build clean, maintainable and reusable frontend components
• Experience working with complex product interfaces and business logic
• English B1–B2

What We Offer

• Full remote work
• Flexible schedule
• Opportunity to join an active startup at an early stage
• Real influence on frontend architecture and technical decisions
• Small team without unnecessary bureaucracy

Important

We are looking not just for someone who can convert designs into pages, but for an engineer who understands how modern web applications should be built and can take responsibility for features from implementation to production.

We value developers who can think about usability, architecture, performance and maintainability - not only complete individual tasks.

When applying, please include examples of real projects where you personally worked with Vue.js / Nuxt.js, especially complex web applications, dashboards, B2B products, or products with significant business logic.

Level: Middle 

Engagement: Long-term contract

Location: Europe (EU / EEA / UK), remote 

Working hours: EU business hours, shifted 2–3 hours later to ensure daily overlap with US West Coast (PST/PDT) mornings

About the Client

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

About the Role

We are looking for a Middle-level SDET to design and maintain automated tests for a large-scale distributed data platform. You will validate the correctness, performance, and reliability of the query engine, connectivity layer, and backend services across all major clouds.

This is a data-heavy, backend-focused role. We are not looking for web/UI QA engineers — the work centers on validating distributed query execution, data correctness at scale, connectivity drivers, and backend microservices.

Responsibilities

• Develop and maintain automated tests in Python / pytest for backend services, REST APIs, and distributed data components.
• Write end-to-end, integration, and regression tests covering SQL query execution, data correctness, and platform APIs.
• Support performance and load testing with JMeter, including workloads over JDBC / ODBC / Arrow Flight drivers.
• Validate data-intensive scenarios — query plans, result correctness across data sources, metadata consistency, and behavior under concurrency.
• Contribute to CI/CD test pipelines in Jenkins — configure, maintain, and troubleshoot.
• Provision and manage test environments in Kubernetes (GKE / EKS / AKS) across GCP, AWS, and Azure using Docker.
• Investigate failures across the stack — query engine, distributed services, drivers, infrastructure — and drive them to resolution with engineering.
• Collaborate with US-based developers on testability and quality gates.
•  

Required Qualifications

• Education: B.S. or M.S. in Computer Science, Computer Engineering, or a related technical field.
• Programming: Strong proficiency in Python, including pytest, with a solid grasp of OOP and software design principles.
• SQL & Data: Strong SQL skills and solid understanding of how relational and analytical data systems work.
• Data-intensive testing experience: Hands-on experience testing data-intensive systems — query engines, ETL/ELT pipelines, streaming platforms, or analytical databases. Candidates with only web/UI QA backgrounds are not a fit.
• Testing experience: 3+ years in backend/system test automation or SDET roles.
• CI/CD & DevOps basics: Practical experience with Jenkins pipelines and deploying/maintaining test environments.
• Containers: Working knowledge of Docker and basic Kubernetes (running workloads, debugging pods, kubectl fluency).
• Cloud: Comfortable operating in at least one major cloud (GCP, AWS, or Azure).
• Version Control: Confident with Git / GitHub workflows.
• English: Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team.
• Availability: Able to work EU hours with a 2–3 hour shift toward US West Coast time to ensure daily overlap with the client team.
•  

Desired Skills

• Experience testing REST APIs and backend microservices at scale.
• Familiarity with distributed computing frameworks (e.g., Apache Spark, Kafka) and MPP SQL query engines (e.g., Presto, Trino, or similar).
• Understanding of modern data lakehouse concepts, open table formats (Apache Iceberg), and data warehousing.
• Experience with data connectivity drivers: JDBC, ODBC, Arrow Flight.
• Performance testing with JMeter or comparable load-testing tools.
• Kubernetes on managed services (GKE / EKS / AKS) and multi-cloud exposure.
• IaC tools such as Terraform.
• Understanding of query plan generation, query acceleration / materializations, and metadata integrity in distributed data systems.

CreditBooster.ai's mission is to help every American understand, build, and own their credit. We're an AI-native credit improvement platform, live on the App Store and Google Play, with paying customers and a small remote team across the US and Europe.
 

About the role

We're hiring for a mindset more than for a stack: the engineer who treats a piece of the product as theirs and holds themselves to whether it actually works for the person using it.

That means ownership that follows the experience wherever it lives. A flow starts on a mobile screen, continues on the web, and runs through the API behind both, and we want someone who goes all the way down rather than stopping at a repo boundary. That's usually where the quality of an experience is won or lost.

AI is not a slogan here, it's how we build. Our designer shipped the referral page that's live in production today working with an agent. Our CPO built one of our web apps the same way. The standard we hold ourselves to is not handing a ticket to an agent and approving the result: you plan with it, read the plan properly, push back, iterate, and stay responsible for what ships.

We move fast and we're deliberately not over-gated, even in fintech. Freedom to move, judged on results.

Fully remote. We hire across Europe and Ukraine and across the Americas, including Canada, Mexico and Brazil, with morning Chicago overlap for standups and demos. Our working overlap is only about four hours a day, so being genuinely effective asynchronously matters here. We'd rather say that plainly than have you discover it in month two.
 

Responsibilities

• Own a product surface end to end: the mobile screen, the web equivalent, and the API behind both, with accountability for whether it works and not just for whether it shipped
• Ship across React Native (Expo) on iOS and Android, our web app, and our Astro landing site
• Cross the boundary rather than filing a ticket at it: Node.js, Fastify, TypeScript, and PostgreSQL are within reach when the surface you own needs them
• Hold the quality bar on what you own, from symptom to root cause to a fix you can prove held
• Use Claude Code, MCP servers, and your own agents to compress engineering work that used to take days into hours, while staying responsible for everything that merges
• Manage releases across App Store and Google Play: EAS builds, rollouts, OTA updates
   

The kind of work you'll see in your first sprint

• Taking one user-facing flow end to end and coming back with your own read on where it should be better, across mobile, web, and API
• A recurring production bug traced to root cause rather than patched at the symptom
• A view on the React Native versus native question, argued from the codebase rather than from preference
   

What we're looking for

• You've owned something, not just contributed to it. You can point at a surface in a product and say it was yours, describe what would have gone wrong without you, and separate what you owned from what your team delivered. This is the single thing we're screening hardest for
• You have real native experience, and this one is not negotiable. Swift or Kotlin, native modules, and apps you have shipped through App Store and Play Store review. If your mobile work is entirely inside JavaScript, we will not be able to move forward.
• You work across mobile and web. React Native is where most of the product lives, but a surface that stops at the repo boundary isn't owned. You're comfortable in a web codebase and not helpless behind an API
• You're AI-native in how you build. Claude Code or an equivalent agentic CLI is part of your daily workflow. You've built your own skills, agents, or MCP servers that automate real engineering work. You see agents as your primary collaborator, and you can also tell us about a time one was confidently wrong and how you caught it
• You debug for real. You go symptom to root cause to verification, and you know the difference between a bug that stopped reproducing and a bug that got fixed
• You're not attached to a framework as an identity. We may move to Swift. We may not. Either way we want someone who argues it from the codebase and then commits
• You ship without waiting for a spec. Often there's a problem and an owner, not a written specification
   

You may be a good fit if you have

• 4+ years building product software, with native Swift or Kotlin and apps you have shipped through App Store and Google Play review
• A product area you owned in production. Be ready to walk us through it: what it was supposed to do, what broke, what you changed, and how you knew things got better
• Real web experience alongside mobile: React or a modern web framework, in production
• TypeScript strict-mode discipline
• Enough Node.js and SQL fluency to fix the endpoint behind your own screen
• Effective written communication in English (B2 or higher). Our team works in Russian and Ukrainian internally, but Linear, code, and customer-facing copy are English
   

Bonus

React Native (Expo) in production. Most of the product lives there today, so it helps, but we would rather hire a strong native engineer who picks up React Native than a React Native engineer who cannot go native. Fintech, lending, KYC, or other regulated-domain work. Expo EAS pipeline ownership and store release experience. Astro or comparable modern web frameworks. A public Claude Code skill, MCP server, or contribution to an open-source agent harness. Founding engineer or first-few-hires experience at a small company, where owning the whole thing was the default.

Kombocode is a small engineering consultancy. We build and fix AI systems for healthcare tech companies in the US. The founder is an engineer with 20+ years of enterprise software experience. You work with her directly.

The role

LinkedIn lead gen for a focused ICP: technical leaders (CTO, VP Engineering, Head of Platform, VP AI) at US healthcare tech companies, Series B to growth stage, 80 to 300 people.

You'll need some overlap with US East Coast hours.

Why this is a good gig

• No bureaucracy. One person makes every decision and answers on Telegram, usually within the hour
• AI for US healthcare is where the money is right now. A year of lead gen in this niche does more for your future rate than three years of selling generic SaaS. 
• You book a call, you get the credit and the bonus. Nobody in between.

The number that matters

4 to 5 qualified sales calls booked per month. That's the KPI.

How you get there is your call. Channels, sequences, angles, timing, your playbook. We're hiring you for your approach, not to execute ours.

What you'll do

• Find and qualify prospects against our ICP criteria (Sales Navigator, Apollo, Crunchbase)
• Build and run your own outreach approach. We have voice rules and banned phrases your messages need to pass, the strategy is yours
• Personalize every message. A template without personalization doesn't get sent
• Keep HubSpot clean: statuses, duplicate checks before every send
• Weekly report: campaign stats and prospect replies word for word
• Handle first replies and pass warm contacts to the founder

What we need

• 3+ years of LinkedIn lead gen, ideally into the US market
• English B2 or better, you'll be writing to technical leaders at American companies
• Sales Navigator plus at least one enrichment tool (Apollo, Clay, Snov.io)
• CRM experience
• You read instructions and follow them. We have written voice rules, banned phrases, excluded accounts
• You can run your own work without a manager checking in

Nice to have

• Some feel for US healthcare or B2B SaaS
• Experience with narrow ICPs where you can't brute force the number

Terms

• $400 to $500 per month fixed
• $25 per qualified call
• $100 per signed contract from those calls
• We talk on Telegram

Trial period

First two months are a trial. Full base and bonuses.

• Month one we're not counting calls. We're looking at whether the list is actually ICP, whether your messages read like a person wrote them, and whether the CRM and weekly report are clean.
• Month two the 4 to 5 calls KPI applies in full.
• Will have 2-3 calls/week on Trial, then 1-2 calls/week as needed after trial.
• At the end of two months we either keep going or we don't, and you'll hear which one straight.

How to apply

1. A short note about your best LinkedIn campaign: niche and numbers
2. Written interview
3. Test task: qualify 5 profiles against our criteria
4. Call and offer

We are looking for an experienced Elixir Developer to join our engineering team. You will design, build, and maintain highly concurrent, fault-tolerant, and scalable systems using Elixir and the BEAM ecosystem. This role is ideal for someone who enjoys functional programming, distributed systems, and writing clean, maintainable code that runs reliably in production.

Responsibilities

• Design, develop, and maintain backend services and APIs using Elixir and Phoenix (or other Elixir frameworks)
• Build concurrent, resilient systems leveraging OTP (GenServers, Supervisors, Agents, Tasks, etc.)
• Write clean, idiomatic, and well-tested Elixir code
• Collaborate with product, design, and other engineering teams to deliver features end-to-end
• Optimize performance, reliability, and scalability of existing systems
• Participate in code reviews, architecture discussions, and technical decision-making
• Debug and troubleshoot production issues in distributed environments
• Contribute to continuous improvement of development processes, tooling, and best practices
• Mentor junior developers and share knowledge about Elixir/OTP patterns

Requirements

Must-have

• Strong professional experience with Elixir (2+ years preferred)
• Solid understanding of OTP principles and concurrency patterns
• Experience building production systems with Phoenix (or equivalent frameworks)
• Proficiency with Ecto and relational databases (PostgreSQL preferred)
• Experience writing tests (ExUnit, property-based testing is a plus)
• Familiarity with Git, CI/CD, and modern development workflows
• Strong problem-solving skills and attention to code quality
• Good communication skills and ability to work in a collaborative team

Nice-to-have

• Experience with distributed systems, clustering, or libraries such as Horde, libcluster, or Oban
• Knowledge of GraphQL (Absinthe), LiveView, or real-time features
• Experience with Docker, Kubernetes, or cloud platforms (AWS, GCP, Azure)
• Familiarity with other BEAM languages (Erlang) or functional languages (Haskell, F#, Scala, etc.)
• Contributions to open-source Elixir projects
• Experience with observability tools (Telemetry, Prometheus, OpenTelemetry, etc.)

Umbrelly.Cloud is a B2B US product company.
 
Our mission is to help businesses which use AWS & NOW AI (Anthropic) reduce their AI & cloud bill & provide world-class technical support. Umbrelly is an Official Advanced Tier Partner of AWS, and recently become a partner of Anthropic and currently serving 100+ enterprises & startups from US, EU and other Tir 1 countries. 

We are looking for an Junior Partnership Manager (Anthropic, Claude) who will take care of our partnership panel with Anthropic.

Why it’s great to build your career around AI, Anthropic, Claude: 

• AI is becoming one of the most important technology shifts in the world, changing how companies build software, automate work, and operate their businesses.
• Anthropic is one of the leading AI companies globally, and Claude is becoming a major platform for AI coding, agents, and enterprise automation.
• AI expertise is highly valued and well compensated - professionals who understand Claude, AI agents, integrations, and real-world AI implementation are increasingly in demand.
• You can grow fast with us: there is a clear path from Junior to Senior-level roles within 3 years, with significant growth in technical expertise, responsibilities, and compensation along the way.
  
  What We Expect from an AWS Partner Manager:
• Huge energy, interest & ambition to grow in a specific area: Anthropic Partnership. 
• You should be able to research and explain what are the Tiers of partnership with Anthropic, and how to build it. 
• English both written and speaking
• You should show your previous achievements either in career, education or personal life
  
  Why Umbrelly is a Great Place to Work and Grow: 
• Clear way for career growth to Senior Roles.
• Potential to earn salary way higher then market average. We offer base salary + opportunity to earn uncapped Bonuses for Growing our Anthropic Partnership. Each badge, opportunity, cerfitication, new partnership level you helped to achieve would be covered with generous bonus.
• Proven product-market fit. Our model has been working successfully for 3+ years, with 100+ B2B customers closed to date.
• We already maintain Advanced Level Partnership with an AWS and recently become Anthropic Partner.
• Experienced leadership. Umbrelly.Cloud is run by an experienced C-level team and backed by prominent investors.

About the role

This is an on-site position in Abu Dhabi, UAE. We are looking for a hands-on Forward Deployed AI Engineer to build and operate production agentic AI systems within a complex operational business.

You will work directly with stakeholders and a cross-functional engineering squad to understand business challenges, translate them into practical technical requirements, and deliver solutions from discovery and design through implementation, deployment, operation, and continuous improvement. This is a build-first individual-contributor role with end-to-end engineering responsibility for assigned solutions.

What you will do

Understand before you build

• Collaborate directly with stakeholders to translate operational needs into clear technical requirements, constraints, and delivery priorities.
• Contribute across discovery and solution design, then implement, deploy, operate, and continuously improve the resulting systems.
• Challenge assumptions, identify underlying operational drivers, and recognize when AI is not the appropriate solution.

Agentic AI solution development

• Design, build, deploy, and continuously improve enterprise-grade agentic AI applications as the primary engineering approach.
• Develop AI agents capable of multi-step reasoning, tool and API orchestration, context management, exception handling, and human-in-the-loop workflows at enterprise scale.
• Implement Retrieval-Augmented Generation solutions, including data ingestion, chunking, vector representations, vector search, retrieval optimization, grounding, and source traceability.
• Connect AI systems to enterprise platforms through Model Context Protocol (MCP), REST APIs, OpenAPI specifications, webhooks, messaging, and event-driven architectures.
• Create reusable, self-service AI services and interfaces that can support multiple business domains.
• Apply structured LLM engineering practices, including tool calling, schema validation, retries, fallbacks, guardrails, and clear recovery paths.

Quality, reliability and governance

• Take responsibility for the quality of assigned solutions through testing, evaluation, observability, structured logging, version control, and continuous feedback mechanisms.
• Optimize deployed solutions across accuracy, reliability, performance, security, latency, and cost.
• Apply security, privacy, access-control, auditability, responsible-AI, and governance requirements throughout solution design and operation.

Delivery and collaboration

• Work closely with product owners, AI architects, engineers, and business stakeholders across discovery and delivery.
• Implement robust multi-agent systems, agent-to-agent communication patterns, tool-orchestration flows, and evaluation frameworks within the agreed solution architecture.
• Contribute reusable components, documented patterns, implementation guidance, and operational runbooks that other engineers can adopt.
• Participate in design discussions, code reviews, testing, release preparation, production troubleshooting, and post-release improvement.
• Communicate delivery progress, technical risks, dependencies, and trade-offs clearly to technical and non-technical stakeholders.

Required skills and experience

• Demonstrated curiosity and a strong drive to understand complex business and operational challenges before proposing a solution.
• A business-first, human-centered approach that treats AI as a way to augment people rather than replace them.
• Excellent English communication skills and experience working effectively in diverse, international teams.
• Strong experience building production-grade software, including practical delivery with Generative AI, Large Language Models, or applied machine learning and hands-on experience designing and deploying agentic AI solutions.
• Proven ability to deliver AI applications from requirements and design through implementation, deployment, and production support.
• Strong Python programming skills and expertise in at least one additional language: TypeScript/JavaScript, Java, or C#.
• Hands-on experience or strong working knowledge of MCP for connecting AI agents with systems, tools, APIs, and data sources.
• Practical experience with one or more modern agent orchestration frameworks or enterprise AI platforms.
• Strong understanding of asynchronous programming, API development, typed data validation, CI/CD, testing strategies, source control, logging, and error handling.
• Experience with vector databases or search platforms and production RAG patterns.
• Experience integrating enterprise systems through APIs, managed identities, middleware, webhooks, messaging queues, and cloud-native architectures.
• Practical experience deploying containerized solutions in cloud environments with monitoring and observability.
• Strong judgment across quality, latency, reliability, security, governance, and cost trade-offs.

Will be a plus

• Experience in aviation, transportation, logistics, supply chain, cargo operations, customer service, or other complex operational environments.
• Background in classical machine learning, data science, or advanced analytics.
• Full-stack engineering experience across front-end, API, and back-end systems.
• Experience with Voice AI, email automation, CRM integrations, workflow automation, or multilingual AI solutions.
• Experience building evaluation frameworks, golden datasets, simulation-based testing, regression suites, and AI quality-measurement systems.
• Experience designing multi-agent architectures, agent registries, agent-to-agent communication, and tool-orchestration standards.
• Experience working effectively with external AI platforms, startups, or technology providers as part of a broader delivery team.
• Relevant certifications in cloud AI, Generative AI, agentic AI, MLOps, or related disciplines.

Work model and relocation

The role is full-time and onsite in Abu Dhabi, UAE, for an initial one-year assignment with possible extension. The selected candidate will be employed through the designated UAE company. Planned support includes the UAE employment visa, employee medical insurance, an initial flight to the UAE, a return flight at the end of the assignment, an approved broker fee, apartment-search assistance and local arrival support (subject to the final written offer).

Umbrelly.Cloud is a B2B US product company.
 
Our mission is to help businesses which use AWS reduce their cloud bill & provide world-class technical support. Umbrelly is an Official Advanced Tier Partner of AWS, and currently serving 100+ enterprises & startups from US, EU and other Tir 1 countries. 

We are looking for an AWS Partner Manager who will take care of our APN (AWS Partner Network):
https://partners.amazonaws.com/partners/0018W00002XmWeCQAV/Umbrelly.Cloud 

What We Expect from an AWS Partner Manager:
- 1+ years practical experience working with an AWS APN Portal
- Develop, drive and execute a strategic partner plan with AWS to achieve revenue growth.
- Track progress on company-level AWS competencies and coordinate with internal teams to complete them.
- Manage new badges, certificate exams in the AWS APN Partner Console. 
- Build strong relationships with AWS partner managers, solution architects, and business development teams.
- Manage joint GTM initiatives, including co-selling, co-marketing, and solution development.
- Negotiate and structure strategic partnership agreements.
- Enable internal sales and customer success teams to leverage AWS partnerships effectively.
- You should be able to tell us something new about partnership with AWS, we previously don't know. 

It would be a plus: 
- Strong understanding of AWS marketplace, cloud economics, and consumption models.

Why Umbrelly is a Great Place to Work and Grow: 

• Clear way for career growth. If you’re ambitious and consistently deliver strong results for 6 months, you’ll have an opportunity to get options & equity compensation. 
• Potential to earn salary way higher then market average. We offer base salary + opportunity to earn uncapped Bonuses for Growing our AWS Partnership. Each badge, opportunity, cerfitication, new partnership level you helped to achieve would be covered with generous bonus.
• Proven product-market fit. Our model has been working successfully for 3+ years, with 100+ B2B customers closed to date.
• We already maintain Advanced Level Partnership with an AWS.
• Experienced leadership. Umbrelly.Cloud is run by an experienced C-level team and backed by prominent investors.

We are looking for a Marketing Manager to join our growing team.

We are a friendly team of passionate professionals committed to delivering reliable software solutions for customers from all around the world.This role is a good fit for someone with a marketing background, an interest in B2B, and a desire to grow in IT services marketing.

Requirements

• 1+ year of experience in marketing.
• Experience in marketing, preferably in B2B or IT services.
• Understanding of B2B marketing and the software development market.
• Experience with organizing content processes: creating content plans, coordinating content production, managing deadlines, publishing, and distributing content across channels.
• Ability to write and edit LinkedIn posts, articles, case studies, and short marketing texts.
• Understanding of listing and rating platforms such as Clutch, GoodFirms, DesignRush, G2, or similar directories.
• Experience working with client reviews: collecting, organizing, publishing, and updating them on relevant platforms.
• Ability to coordinate work with copywriters, SEO specialists, designers, developers, and the sales team.
• Knowledge of SEO fundamentals, content marketing, GA4, and Google Search Console.
• English level from Intermediate, B1+, to work with content and communicate effectively.
   

Responsibilities

• Creating and maintaining content plans for marketing activities.
• Organizing the content production process: collecting inputs, coordinating tasks, tracking deadlines, and checking content before publication.
• Writing, editing, and publishing LinkedIn posts, articles, case studies, and other marketing materials.
• Managing content distribution across different channels 
• Working with listing platforms: updating company profiles, checking information, and improving content quality.
• Supporting the review collection process and keeping client reviews organized.
• Planning and launching marketing outreach campaigns: preparing ICPs, messaging ideas, supporting materials, and tracking results.
• Preparing briefs and tech assignments for copywriters, designers, developers, and other specialists.
• Managing SEO and tracking its performance.
• Working closely with the sales team to prepare relevant materials and collect insights about leads and clients.
• Supporting the marketing team with competitor research, market research, and content ideas.
   

Will be a plus

• Experience in service-based IT companies.
• Experience managing LinkedIn pages or personal brands.
• Experience working with Reddit, Quora, or similar platforms.
• Knowledge of email marketing.
• Experience preparing marketing materials for sales outreach.

We offer

• Flexible work format: remote, 8-hour working day without time trackers.
• Competitive salary.
• Tight-knit and friendly team.
• Personalized career growth.
• Up to 50% coverage of the cost of professional courses.
• Vacation time, sick leaves, and national holidays.
• Competitive bonuses for personal recommendations of new employees.
• Professional development tools: mentorship program, tech talks, and workshops.
• English classes with a teacher.
• Corporate events and team buildings.