Jobs at Djinni

We're looking for an experienced In-App Media Buyer who's ready to scale campaigns, take ownership, and grow into a Team Lead role in the near future.

This is more than just another buying position. We're looking for someone who wants to build a team around themselves, influence strategy, and grow together with the company.

What you'll do

• Launch, optimize, and scale In-App campaigns in the Gambling vertical.
• Work primarily with Slots offers.
• Test new apps, funnels, creatives, and traffic sources.
• Scale campaigns aggressively while maintaining performance.
• Analyze campaign performance and continuously improve results.

• Contribute to the development of buying processes and future team growth.

   

We're looking for someone who has

• 2+ years of experience with In-App traffic in Gambling.
• Recent experience working with CPA offers.
• Strong understanding of Slots traffic.
• Experience managing large daily spends.
• Ability to scale campaigns aggressively.
• Strong analytical skills and data-driven decision making.
• Ability to adapt quickly to market changes.

• Ambition to grow into a Team Lead role.

   

GEO

Main focus:

• Turkey 🇹🇷

• CIS

   

What we offer

• Competitive fixed salary + one of the strongest bonus systems on the market.
• Fully remote work.
• Large budgets and all the resources needed to scale.
• Freedom in decision-making with no micromanagement.
• Fast implementation of new ideas.
• Opportunity to build your own team and grow into a Team Lead.

• A fast-moving team focused on performance and long-term growth.

   

About us

• In-house iGaming team (NDA).
• We work exclusively with Gambling.
• Fast decision-making and minimal bureaucracy.
• Large budgets and a strong focus on scaling.

• Long-term approach to traffic buying and team development.

   

If you're looking for a place where you can manage significant budgets, scale campaigns aggressively, and have a real impact on the team's growth, we'd love to hear from you.

About Our 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 Senior Software Engineer to build and operate production AI agent and search services on top of a large-scale data platform. This is hands-on work at the intersection of distributed backend engineering and applied AI: multi-agent workflows, tool-execution infrastructure, retrieval and relevance, and integrations with multiple LLM providers — all running as real, customer-facing production services with the reliability expectations that implies.

Responsibilities

• Design and implement scalable multi-agent workflows (including conversation state), tool-execution infrastructure, and data-aware tools working with catalogs, schemas, lineage, SQL, jobs, semantic metadata, data preparation, and visualizations
• Build search and retrieval capabilities with OpenSearch or equivalent — indexing, relevance tuning, hybrid keyword + vector search
• Integrate multiple LLM/model providers with secure configuration and graceful degradation
• Develop APIs and event contracts across REST, streaming/SSE, gRPC, protobuf, and SDKs, including UI integrations
• Operate, monitor, and improve production services — service health, logs, metrics, traces, search-cluster health, latency, and error rates; participate in the team's production-support model
• Investigate incidents, drive root-cause analysis, and ship durable fixes
• Design for permissions, tool approvals, multi-tenancy, and customer-data governance
• Maintain dependencies, apply security fixes, and reduce tech debt; produce designs, tests, runbooks, and documentation; lead technical discussions and review code

Required Qualifications

• B.S. or M.S. in Computer Science, Computer Engineering, or a related field — or equivalent practical experience
• 7+ years of relevant experience, or equivalent demonstrated senior-level impact
• Strong Java software engineering skills
• Strong grasp of concurrency, data structures, API design, testing, maintainability, and backward compatibility
• Solid background in distributed systems, microservices, cloud services, or data-intensive backends
• Hands-on experience with search technologies — OpenSearch, Elasticsearch, or Lucene — including vector search, embeddings, or relevance systems
• Experience building LLM applications, agent/tool workflows, RAG systems, or model-provider integrations
• Strong production instincts: diagnosing failures via logs, metrics, and traces; designing for fault tolerance, retries, cancellation, and recovery
• SQL and familiarity with data platform concepts: catalogs, metadata, schemas, governance, lineage
• Comfort leading ambiguous, cross-service work with clear stakeholder communication and strong written documentation
• Comfortable with AI-assisted development workflows — using modern AI tools productively while critically validating their output
• English Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team
• Availability to work EU business hours shifted 2–3 hours later for daily overlap with US West Coast mornings

Desired Skills

• LangChain4j or similar agent frameworks
• Python for AI services, evaluation harnesses, or sandboxed execution
• React and TypeScript
• gRPC, protobuf, Quarkus, Kubernetes, MongoDB, KV stores, event-driven architectures
• Apache Arrow, Apache Iceberg, OpenLineage, semantic layers, or data-governance systems
• AI quality evaluation: LLM-as-judge, model benchmarking, production AI metrics
• OpenSearch operations: index lifecycle management, relevance tuning, incident response
• Open-source contributions

Details

• Engagement: Long-term contract
• Location: Europe (EU / EEA / UK), remote
• Working hours: EU business hours, shifted 2–3 hours later for daily overlap with the US West Coast team

We are looking for a strong candidate for Customer Support/Technical support role in a startup. 
Ideally, the canddiate should have an experience of both Calls and emal/chat communication with customers and some SAAS work experience.

This is an Israeli startup operating in the computer vision and logistics sectors; they are looking for a customer support specialist with a strong command of English to assist their clients.
Candidate should be comfortable working a shifted schedule—specifically from 14:00 to 23:00—to align with US business hours when needed.

Strong English skills are required, as the role involves communicating with both potential and existing clients regarding sales and support. The startup operates in the US and Israeli markets.
 

Looking forward to your applications.

We are looking for an experienced CRM Manager to build our customer communication system from the ground up for a fast-growing direct-to-consumer brand.
 

Responsibilities:

• Design and implement the company's CRM infrastructure from scratch.
• Organize and manage a customer database of approximately 10,000 contacts.
• Segment the customer database based on customer behavior and purchase history.
• Set up automated and manual email, SMS, and/or messaging campaigns.
• Develop customer communication workflows, including welcome sequences, product launches, promotional campaigns, customer retention, and re-engagement strategies.
• Integrate the CRM with the necessary tools and platforms.
• Monitor campaign performance and optimize key metrics such as open rates, click-through rates, and conversions.
   

Requirements:

• Proven experience implementing CRM systems and building customer communication processes from scratch.
• Experience with e-commerce or consumer brands is highly preferred.
• Hands-on experience with CRM platforms such as HubSpot, Klaviyo, Kommo, Bitrix24, amoCRM, or similar.
• Strong understanding of CRM marketing, customer segmentation, lifecycle marketing, and marketing automation.
• Experience setting up integrations and automated workflows.
• Analytical mindset with a focus on measurable business results.
   

Nice to Have:

• Experience working with subscription or repeat-purchase businesses.
• Experience cleaning, organizing, and migrating customer databases.
• Knowledge of email marketing platforms and messaging automation tools.
• Understanding of customer retention strategies and loyalty programs.
• Knowledge of data privacy and personal data protection best practices.
   

We are hiring a Senior Product Manager to own the Teramind Endpoint Agent end to end. 
You will be the single accountable product leader for the roadmap, priorities, and outcomes of the Agent organization - approximately half of Teramind engineering, working across operating systems, low-level platform components, and the server-side telemetry pipeline.

This is a pivotal role. The Agent is one of the strongest competitive moats Teramind has, and the next chapter of the product strategy depends on what we build into it. You are coming in to bring product rigor, customer insight, prioritization discipline, and technical judgment to a team that is capable of shipping world-class endpoint technology.

You will sit alongside other product managers, reporting to the VP of Product. Together, you own Teramind's product surface area.
 

What You Will Own

The Agent roadmap across all platforms. Windows, macOS, Linux, and the expansion into more platforms. You decide what ships, in what order, and why. You balance customer-driven feature work, platform modernization, performance, and security hardening on a single prioritized backlog.

Translating business vision into engineering reality. Synthesize signals from many directions - executive strategy, sister product teams, sales and customer success, customer interviews, competitor moves, analyst input, and direct conversations with the engineering org - and turn them into a coherent technical roadmap the Agent team can execute against. You are the interpreter between "we need to detect AI tool exfiltration" and "here is how we instrument the endpoint to see it."

Building for the enterprise: bulletproof and undetectable. We have a strong and growing enterprise footprint, and these customers expect the Agent to be invisible to end users, resilient against tampering, and reliable under conditions that break weaker products. You will own the roadmap that makes our agent the most trusted and most resilient in the category - tamper-proof, undetectable in stealth deployments, and engineered to survive in hostile environments.

Performance, footprint, and reliability. Every CPU cycle, every megabyte of memory, every battery percent point, and every megabyte of network we consume is felt by the end user and argued about by the customer's IT team. You will set and defend the performance bar - and push the team to raise it.

Define, measure, and meet product KPIs. You will establish the metrics that matter for an endpoint agent - adoption, version rollout velocity, deployment success rate, agent stability and crash rates, performance benchmarks, detection coverage, time-to-patch on OS changes - and you will hold yourself, the team, and the company accountable to them.

Industry and ecosystem relationships. You will build and maintain relationships with Microsoft, Apple, the Linux ecosystem, MDM vendors (Jamf, Intune, and others), major AV/EDR vendors, and the research community. You will represent Teramind credibly in technical conversations where the agent's architecture is the subject.
 

Who You Are

• 5+ years of product management experience, with at least 3 of those owning a technical platform, SDK, agent, or systems-level product. Senior IC role - you are expected to operate with autonomy and influence without needing headcount.
• Technical depth is non-negotiable. You do not need to read or write C++, but you should be able to reason about Windows architecture, understand macOS system extensions and the trade-offs of Endpoint Security vs Network Extension frameworks, and have informed opinions about agent architecture. You can sit in a design review and push back credibly.
• Endpoint or systems background. You have shipped products in at least one of these categories: endpoint security (EDR, EPP, XDR), endpoint agents for monitoring or management, OS-level tools, developer tools, systems software, or infrastructure products. Experience with products like CrowdStrike, SentinelOne, Microsoft Defender, Tanium, JumpCloud, or similar is directly relevant. Pure SaaS/application PMs without systems exposure will struggle in this role.
• You think in outcomes, not features. You define success as "95% of customers roll out a new agent version within 30 days" or "detection coverage at the edge increased from X to Y" - not as "shipped version 27.0."
• You are comfortable with security trade-offs. You have opinions about visibility vs privacy, tamper protection vs usability, cloud processing vs on-device intelligence. You can reason about the attacker's perspective and the IT buyer's perspective in the same conversation.
• You can translate across audiences. Engineers trust you because you speak their language. Customers trust you because you listen and deliver. Executives trust you because you tie technical decisions to business outcomes. Security teams at customers trust you because you respect their concerns.
• You bring rigor. PRDs, prioritization frameworks, release cadence, success metrics - you have your own way of bringing structure to product work, and you roll it out with the team, not at them.
• Strong written communication. Crisp PRDs, structured decision memos, clear release notes, credible engineering-facing specs. In a distributed team, writing is how product management scales.
   

Nice to Have

• Engineering background earlier in your career (systems, kernel, driver, or low-level platform programming)
• Direct experience with Windows Filter Drivers, Minifilters, or WFP
• Experience with macOS Endpoint Security framework or Network Extensions
• Exposure to MDM ecosystems (Jamf, Intune, Workspace ONE, Kandji)
• Experience shipping to Linux endpoints (eBPF, kernel modules, or userspace agents)
• Background in insider risk, DLP, or behavioral analytics
• Familiarity with AI/ML at the edge or on-device inference
• Experience navigating EDR/AV co-existence and exclusion lists at scale
   

Why This Role

Endpoint agents are having a moment. The convergence of insider risk, DLP, AI, and hybrid work is making the endpoint the most strategically important surface in enterprise security and workforce intelligence. Teramind's Agent is one of the deepest data-collection engines in the market - we see things the rest of the category does not - and it is one of the strongest competitive moats we have.

You are coming in to take a genuinely differentiated technical platform and make it the backbone of the next generation of workforce intelligence. The engineering talent is here. The customer demand is here. The strategic priority is here. Your role is pivotal to where Teramind goes next.
 

Interested?

We'd love to hear what you have shipped, what you have owned, and why this role fits what you want to do next. Send us your resume and a short note.

About Our 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 Senior Software Engineer for the connectivity stack of a large-scale data platform. The work spans three areas:

• Client connectivity — drivers and client libraries used by applications and BI tools
• Source connectivity — connectors to databases and data systems, including authentication, metadata discovery, and query/data pushdown, with certification and upgrade support
• Agent & service connectivity — tool interfaces and integrations for AI-agent access to the platform

Deep expertise in one of these areas is enough — you'll grow into the adjacent ones over time. This is a role for an engineer who cares about API and protocol stability, backward compatibility, and interoperability with the tools enterprises actually use. You will lead the design and delivery of substantial components, working within an established architecture alongside US-based engineering reviewers.

This is a systems-level, backend engineering role focused on drivers, protocols, and distributed services — not application development or CRUD services.

Responsibilities

• Lead the design and delivery of connectivity components — client drivers, source connectors, and service integrations — turning ambiguous initiatives into well-scoped, reviewable milestones
• Produce technical designs, explain architectural trade-offs, and surface compatibility, security, and delivery risks early
• Maintain backward compatibility and API/protocol stability; build compatibility, interoperability, and performance test suites
• Develop and maintain connectors for major BI tools, collaborating with the technology partners behind them
• Diagnose complex client/server, protocol, and distributed-system failures; drive root-cause analysis of customer-reported and escaped defects
• Improve diagnostics, logging, observability, and supportability of the connectivity stack
• Contribute upstream to open-source projects (e.g., Apache Arrow) where agreed
• Mentor engineers, participate in code and design reviews, and communicate progress and risks clearly across a distributed team

Required Qualifications

• B.S. or M.S. in Computer Science, Computer Engineering, or a related field — or equivalent practical experience
• 8+ years of production software engineering experience
• Deep proficiency in Java or C++, and the ability to work effectively in another systems/services language
• Experience designing and debugging APIs, protocols, client libraries, or distributed services
• Strong fundamentals: data structures, concurrency, asynchronous programming, networking, and failure handling
• A track record of comprehensive testing — unit, integration, compatibility, and performance
• Experience with production CI/CD, release processes, and engineering quality controls
• Working knowledge of SQL
• Comfortable with AI-assisted development workflows — using modern AI tools productively while critically validating their output
• Clear written and verbal communication in a distributed engineering environment; English Upper-Intermediate or higher (B2+)
• Availability to work EU business hours shifted 2–3 hours later for daily overlap with US West Coast mornings

Desired Skills

• JDBC, ODBC, ADBC, or database-driver development experience
• Apache Arrow (including Arrow Flight)
• SQL engines, databases, or data platforms
• Source-connector development for databases, warehouses, or SaaS systems
• MCP or agent-tool integrations
• OAuth, OIDC, TLS, and enterprise authentication flows
• Cross-platform native build, packaging, and release experience
• BI-tool interoperability (Power BI, Tableau) and partner collaboration
• Observability and production diagnostics
• Open-source contribution experience

Details

• Engagement: Long-term contract
• Location: Europe (EU / EEA / UK), remote
• Working hours: EU business hours, shifted 2–3 hours later for daily overlap with the US West Coast team

About Us

Smart Capital Center is an end-to-end, AI-powered platform for Commercial Real Estate (CRE) investment and financial management. We power real-time underwriting, asset management, and portfolio analytics through a combination of live data, workflow automation, and AI-driven insights.

Operating at the intersection of Generative AI, finance, and real estate, we are building systems that digitize and simplify complex financial workflows.

Our clients include leading institutions such as JLL, Pacific Life Insurance Company, and KeyBank. We are a lean, high-performance team building category-defining technology in a $17 trillion industry.

To learn more about our platform and vision, please visit our website.

The Role

We are looking for a Backend Software Engineer with strong experience in building scalable systems and a deep interest in AI-powered applications.

This is a high-impact, hands-on role where you will design and build backend services, integrate AI capabilities, and develop intelligent, agent-driven workflows used in real-world production environments.

You will work closely with product, AI, and engineering teams to deliver reliable, high-performance systems and automation features.

What You Will Do

Backend Development

• Design, build, and maintain backend services using Java (Spring Boot) and Python
• Develop scalable APIs and microservices for data-intensive applications
• Optimize system performance, reliability, and scalability
• Design efficient data models and handle complex integrations

AI & Intelligent Systems

• Implement and integrate AI-powered features into core products
• Design and build agent-based workflows for automation and decision-making
• Apply prompt engineering techniques to improve LLM outputs and behavior
• Work with modern AI frameworks to productionize intelligent systems

Cloud & Infrastructure

• Develop and deploy backend systems on AWS (EC2, S3, RDS, Lambda, etc.)
• Build resilient, scalable cloud-native services
• Contribute to system monitoring, logging, and reliability

System Design & Engineering Excellence

• Contribute to architecture, service boundaries, and system design decisions
• Write clean, maintainable, and well-documented code
• Ensure security, performance, and operational stability
• Continuously improve engineering quality and development practices

Collaboration

• Work closely with frontend, product, and AI teams
• Contribute to end-to-end feature delivery
• Participate in Agile development processes

Requirements

• 5+ years of backend software development experience
• Strong experience building and scaling backend systems in production

Core Technical Skills

• Strong experience with Java and Spring Boot
• Solid experience with Python
• Strong knowledge of SQL and database design (PostgreSQL preferred)
• Experience building REST APIs, microservices, and distributed systems
• Hands-on experience with AWS (EC2, S3, RDS, Lambda, etc.)
• Proficiency with Git and modern development workflows

AI & Modern Development Experience

• Experience with prompt engineering for LLM-based systems
• Practical experience building AI agent workflows in production
• Familiarity with frameworks/tools such as:
  • LangGraph
  • LangChain
  • LangSmith
  • or similar ecosystems
• Experience using AI-assisted development tools, such as:
  • Claude Code
  • Codex
  • OpenCode
  • or similar

Nice to Have

• Experience with vector databases or semantic search (e.g., Milvus)
• Knowledge of RAG (Retrieval-Augmented Generation) architectures
• Experience with CI/CD pipelines and DevOps practices
• Familiarity with event-driven architecture

• Experience with data processing pipelines or document AI systems

   

Why Join Us

• Work on cutting-edge AI-powered systems in a $17T industry
• Build real-world applications using LLMs, agents, and automation
• High ownership and autonomy with meaningful technical impact
• Opportunity to influence system design and engineering direction
• Fast-moving, execution-focused team with minimal bureaucracy
• Competitive compensation and flexible work environment

About Our 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 Senior Software Engineer for the data catalog and enterprise data management layer of a large-scale lakehouse platform — the services that automate data ingestion and autonomously optimize Apache Iceberg tables. You will own features through the full development cycle, from design through deployment, in a multithreaded, distributed environment where scalability, performance, and always-on availability are the baseline expectations.

This is a systems-level, backend engineering role focused on data infrastructure internals — not application development or CRUD services.

Responsibilities

• Own the full software development cycle — inception, design, development, testing, deployment — for catalog and data-management services
• Build and operate services for automated ingestion and autonomous optimization of Apache Iceberg tables
• Reason about concurrency and parallelization to deliver scalability and performance in multithreaded, distributed systems
• Drive performance tuning and system-efficiency improvements
• Work with Apache Foundation open-source projects, contributing upstream where agreed
• Participate in code and design reviews, upholding a high engineering bar
• Collaborate with product managers, support teams, and solution architects on feature requests and design updates
• Partner with US-based engineering leads on technical decisions

Required Qualifications

• B.S., M.S., or PhD in Computer Science or a related field
• 5+ years of software engineering experience, preferably focused on database systems or related fields
• Strong object-oriented programming skills in Java or C++
• Solid grounding in data structures and algorithms
• Hands-on experience with multithreaded and asynchronous programming patterns for scalable, performant systems
• A passion for engineering quality — zero-downtime upgrades, availability, resiliency, and uptime as first-class concerns
• Comfort with a fast-moving environment; strong ownership; the confidence to defend a technical position and the openness to be mentored
• Comfortable with AI-assisted development workflows — using modern AI tools productively while critically validating their output
• English Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team
• Availability to work EU business hours shifted 2–3 hours later for daily overlap with US West Coast mornings

Desired Skills

• Database internals and query planning
• Distributed systems: concurrency control, data replication, storage systems
• Apache Iceberg or other open table formats (Delta Lake, Hudi)
• Messaging systems: Kafka, NATS, or cloud pub/sub services
• Contributions to open-source data infrastructure (Apache projects especially valued)

Details

• Engagement: Long-term contract
• Location: Europe (EU / EEA / UK), remote
• Working hours: EU business hours, shifted 2–3 hours later for daily overlap with the US West Coast team

At JettSEO, we turn SEO into real business growth, helping clients across Europe, the U.S., and Asia thrive. We have been in the market since 2019 and built the company on long-term client partnerships and a strong foundation of trust. Our goal is not just to optimise for Google - it is to help businesses scale sustainably using AI-powered SEO that delivers measurable results.

Upwork is on of our highest-intent channel, and we are looking for a fully remote Lead Generation Manager to own it end to end: the profiles, the bidding, the chats, and the conversion into booked calls.

What you'll do

• Own our Upwork presence: profile positioning, job selection, and daily bidding
• Write and continuously optimise tailored proposals - we measure the reply rate, not the send count
• Run and tune GigRadar: build the filters, watch what converts, and keep improving them
• Handle client chats through to a booked discovery call, and hand each lead to Sales with full context
• Run LinkedIn outreach alongside Upwork, so every lead gets a timely, personal reply - including the ones who say no
• Keep Zoho CRM accurate and current, with tasks set and closed on time
• Submit a daily report covering activity, insight, and anything you changed in the system

• Test new approaches, AI tooling included, and bring what works to the team - the channel should be better in three months than you found it

   

What we're looking for

• 1+ years in lead generation, with hands-on Upwork bidding experience
• Confident written and spoken English from B2 upwards - you will be writing proposals and running client chats unsupervised. German is a plus
• Comfortable with a bidding automation tool; GigRadar experience is a strong plus, and we will train you if you have used something similar
• You already use AI in your work - for research, drafting, or spotting patterns - or you are genuinely keen to learn. We are not looking for a prompt engineer; we are looking for someone who reaches for the tool instead of doing it the slow way
• SEO or digital marketing knowledge is a plus - you will be selling it, and understanding what we actually do makes proposals land. We will teach you the rest
• You write clearly and persuasively, and you can handle an objection in a chat without escalating
• Organised and self-directed, with a genuine interest in improving a channel rather than just working it

• Quiet remote setup and a reliable connection; we work within European time zones

   

What we offer

• Remote-first, with a flexible schedule - you set your own working hours within European time zones
• A stable base salary plus performance bonuses for qualified calls and closed sales - the better your leads, the more you earn
• Time to recharge - 20 paid vacation days, 5 holidays, and sick leave
• Full training from us - a structured two-week onboarding, our SEO fundamentals course and Upwork playbooks, and a mentor while you find your feet
• Regular feedback - check-ins through onboarding, scheduled reviews across probation, and a manager who tells you where you stand rather than leaving you guessing
• Direct access to the CEO and the sales team - small company, short lines, and your ideas actually get tried
• A clear path into a Sales Manager, Marketing Assistant or Account Manager role

Hiring process

Intro interview - 15 minutes

Test task - one day to complete

Interview with the CEO - up to 30 minutes

Final deep-dive with the CEO - up to 1 hour

Offer, then two weeks of onboarding and a three-month probation with regular feedback

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

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.

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.

Шукаємо BizDev, який хоче не просто підтримувати комунікацію з партнерами, а реально впливати на оборот, розвиток напрямку та власний дохід.
 

Що ти отримаєш

• Швидкий онбординг і роботу з топовими рекламодавцями ринку
• Можливість розвивати власний бренд у ніші
• Конкурентний фікс + бонусну систему
• Мінімум бюрократії — швидкі рішення без 10 погоджень
• Можливість вирости до Team Lead
• Регулярні тімбілдінги, воркшопи, внутрішнє навчання та подарунки
• Можливість відвідувати топові міжнародні конференції
 

Що для нас важливо

• Досвід від 1 року на позиції BizDev / Business Development Manager в iGaming
• Розуміння ринку iGaming та принципів роботи з рекламодавцями
• Досвід у пошуку та залученні нових рекламодавців
• Сильні навички переговорів та продажів
• Вміння вести ділову комунікацію та будувати довгострокові відносини
• Впевнена робота з Google Sheets / Excel
• Вміння працювати з великим обсягом інформації та аналітикою
• Високий рівень комунікації та відповідальність
• Англійська від B1+
 

Що потрібно робити

• Залучати нових рекламодавців та розвивати базу партнерів
• Вести переговори та презентувати компанію і її можливості
• Підтримувати постійний контакт із рекламодавцями
• Розвивати та підтримувати довгострокові партнерські відносини
• Контактувати з партнерами щодо поточних питань і запитів
• Оперативно вирішувати проблеми та спірні ситуації
• Координувати роботу з рекламодавцями всередині команди
• Контролювати виконання домовленостей та підтримувати якість співпраці
• Аналізувати результати роботи партнерів та шукати можливості для розвитку
• Виконувати KPI та впливати на загальний оборот напрямку
• Відвідувати конференції, мітапи та розширювати професійний нетворк

LEGENDS TEAM — розширює Facebook-напрям і шукає Middle Media Buyer’a, який хоче не просто лити, а будувати системний профіт і вийти на легендарний рівень доходу.

Що отримаєш у нас:

• Гарячі офери та великий вибір GEO для запусків, заливай що хочеться;
• Індивідуальна бонусна сітка — чесна й за результат
• Необмежені бюджети та повна прозорість у роботі, точні виплати;
• Сильна внутрішня інфраструктура для твоєї ефективності і комфортної байерської роботи;
• Ретеншн-відділ — аналітика, налаштування пушів;
• Мінімум бюрократії — швидкі рішення, без 10 погоджень;
• Ріст до Team Lead/Head позиції — можеш відкрити власну тіму, в рамках холдингу;
• Регулярні тімбілдінги, воркшопи, внутрішнє навчання і подарунки.

Що для нас важливо:

• Досвід в iGaming (CPA-модель) від 1 року;
• Наявність особистих кейсів заливу від 15к$ особистого профіту, протягом 3-4 останніх місяців;
• Глибоке розуміння свого джерела, вміння знаходити + масштабувати конверт.

Що потрібно робити:

• Запуск, тестування та масштабування рекламних кампаній;
• Пошук нових зв’язок і підходів;
• Контроль показників та оптимізація кампаній;
• Вміти формувати ТЗ для дизайнерам;
• Постійне тестування нових гіпотез;
• Робота на результат і прибутковість зв’язок.

Приєднуйся до LEGENDS — тут цінують твій досвід, підтримують розвиток і дають свободу дій!