Jobs at Djinni

The Customer Support Engineer will focus on providing technical support and maintaining production operations. The specific requirements and responsibilities include:

The vacancy assumes a shift work schedule.
 

Job Requirements:

• Proficiency in using PC. Ideally after QA courses
• Background in Data Support (Tier 1+2); Tier 3 is an advantage.
• Strong troubleshooting and problem-solving skills.
• Excellent service orientation and communication skills.
• English level at least B1.
• Ability to work independently and as part of a team.

Key Responsibilities:

Problem Resolution:

• Identify potential production issues and implement proactive solutions.
• Troubleshoot technical issues and collaborate with teams to ensure resolution.

Customer Support:

• Provide prompt technical support to end-users
• Collaborate with R&D and product management to resolve client issues.

Production Coordination:

• Develop and manage production schedules.
• Adjust schedules as needed to accommodate changes or delays.

Stakeholder Communication:

• Serve as the primary liaison between teams to ensure clear communication.
• Notify stakeholders and clients of any delays or issues.

Work Schedule: Full-time, US business hours

About the role
We’re hiring a GCP Data Engineer for a US-based client. Availability during US business hours is required. 
You’ll own data pipelines and integrations across many client projects at once, working independently from design to deployment. If you’re comfortable juggling multiple GCP environments and like building practical, cost-efficient data and LLM-powered solutions, we’d like to hear from you.

What you’ll do

• Build and maintain data pipelines in BigQuery: scheduled queries, data transfers and incremental loads
• Develop and deploy services with Cloud Run, Cloud Functions and Cloud Scheduler
• Manage access, secrets and monitoring (IAM, Secret Manager, Cloud Monitoring) across multiple GCP projects
• Integrate external systems via REST APIs, webhooks and SFTP
• Build LLM-powered workflows using OpenAI, DeepSeek and Perplexity APIs, including prompt design

• Ship code with Git and Docker

   

Must-have

• 2–3+ years as a data engineer working with GCP
• Advanced BigQuery SQL (scheduled queries, data transfers, incremental loads)
• Strong Python
• Hands-on with Cloud Run, Cloud Scheduler, Cloud Functions, Secret Manager, IAM and Monitoring, across many projects at once
• REST APIs, webhooks and SFTP integrations
• Git and Docker
• Production experience with LLM APIs (OpenAI, DeepSeek, Perplexity) and prompt writing
• Able to work independently and manage several client projects in parallel

• Availability during US business hours 

   

Nice to have

• Terraform
• n8n
• Supabase / Postgres
• Clay
• Google Meridian
• Lead scoring or marketing-tech experience

• Track record of reducing GCP and LLM costs

   

What we offer

• Long-term engagement with a US client
• Fully remote

WHAT YOU'LL DO:
Discovery & requirements
- Engage business stakeholders directly to elicit, clarify, and document business requirements.
- Turn ambiguous problems into clear, testable requirements — using AI to accelerate research, drafting, and gap analysis.

Solution design & specification
- Produce technical solutions and specifications: data models, API contracts (OpenAPI), service boundaries, sequence and architecture diagrams.
- Make sound architecture decisions aligned with our microservices, event-driven, and security-first principles, and document the trade-offs.

Build (backend / frontend / mobile)
- Implement backend services in Python and/or Golang on PostgreSQL, with appropriate messaging (Kafka) and caching.
- Build web frontends (Vue/Nuxt or React) and, where needed, mobile features (Android/Kotlin, iOS/Swift).
- Write reusable, testable, efficient code, using AI coding agents to move fast while keeping the codebase clean and reviewable.

Test & quality
- Design and execute meaningful test coverage — unit, integration, API, and end-to-end — leveraging AI-assisted test generation and review.
- Own quality end to end: you are the developer *and* the tester, and "done" means verified.

Ship & operate
- Deliver through our CI/CD pipelines and infrastructure as code.
- Build observability in at design time (metrics, logs, tracing) and support what you ship.
 

• 
  HOW WE WORK
  - Stack: AWS, Kubernetes, Python & Golang, PostgreSQL, Kafka, Vue/Nuxt & React, Android/iOS, Terraform/Ansible, GitLab CI/CD.
  - Principles: clear and maintainable architecture, security-first, scalability and reliability, high observability and automation, cloud-native and microservices-oriented design, and a strong focus on performance, resilience, and operational excellence.
  - AI-native by default: we expect AI to be part of how you think, design, build, and test — used deliberately and responsibly.
  
  WHAT SUCCESS LOOKS LIKE:
  Within your first few months, you independently take a real business need through the full cycle — requirements, spec, implementation across the relevant layers, tests, and a production release with observability — at a speed and quality that would traditionally have required a small team, and you help the rest of engineering raise its AI fluency along the way.

Wearton is a personal stylist app. It finds the user's colours from one selfie, keeps their clothes in a digital closet, and says what to wear for the weather and the events of the day. Hooky, our AI stylist, answers questions in a chat. With virtual try-on, users see a piece of clothing on their own photo.

Wearton runs on iPhone and Android, on the web, as a browser extension (Chrome, Edge, Firefox, Safari) and inside ChatGPT and Claude through an MCP server. All clients are one TypeScript codebase that shares code between them.

We are a small product startup. You will work directly with the founder and own features end to end: API, database, web app, browser extension and mobile app.

What you will do

• Build features across the whole stack: from an API route and a database migration on Cloudflare Workers to the React web app, the browser extension and the React Native app.
• Work with LLMs and image models (OpenRouter, Google Vertex AI): prompts, structured JSON output, daily limits and cost per request.
• Write automated tests with every change (Vitest, Jest, Testing Library, Maestro e2e).
• Ship small changes often through GitHub Actions, and keep the API contract and docs up to date.
• Use AI coding agents (Claude Code) every day as part of the workflow.

Our stack

• TypeScript everywhere
• Mobile: React Native, Expo, Zustand, RevenueCat
• Web app and extension: React 19, Vite, Tailwind CSS v4, Manifest V3
• Backend: Cloudflare Workers, D1 (SQLite) with Drizzle ORM, R2, better-auth
• AI: OpenRouter (GPT, Gemini), Google Vertex AI virtual try-on, MCP
• Analytics: PostHog

Requirements

• 5+ years of commercial development, mostly in TypeScript / JavaScript
• Strong React, and production experience with React Native (Expo is a plus)
• Backend experience with Node.js or serverless (Cloudflare Workers, AWS Lambda), REST API design and SQL
• You write automated tests by default
• Experience with LLM APIs in a production product
• English B2 or higher: code, docs and communication are in English

Nice to have

• Browser extensions (Chrome Manifest V3, Firefox, Safari)
• App Store and Google Play releases, in-app subscriptions
• Consumer apps, fashion or e-commerce

We offer

• Full-time remote work
• Direct work with the founder and real influence on the product
• A modern stack and an AI-first engineering workflow

You'll lead product design at SkinnyRx end-to-end — from defining the problem and shaping the product direction to shipping polished UI.

This is a Lead Product Design role with a strong UI focus. You'll set the bar for visual craft across the product while working shoulder-to-shoulder with our Head of Product and executive team on what we build, why we build it, and how it comes to life.

AI is deeply embedded in how we work. You'll use it across the entire design process — from exploration and content generation to prototyping and production.

What you'll do

• Own product design end-to-end across the SkinnyRx app and web — from problem definition and UX flows to final shipped UI
• Set and evolve the visual design bar for the product, creating a cohesive, high-quality experience across onboarding, patient dashboards, intake, billing, and content surfaces
• Partner directly with the Head of Product and executive team to shape product direction, prioritize opportunities, and turn ideas into shipped experiences
• Generate and art-direct AI-produced content — product imagery, illustration, lifestyle photography, micro-animations, and video — at a quality that feels intentional and distinctly SkinnyRx
• Prototype interactively — in Figma when precision matters and in code via AI tools when realism and speed matter
• Build systems and patterns that let the team move quickly without sacrificing craft or consistency

• Partner closely with engineering, copy, and marketing through tight, iterative shipping cycles

   

What we're looking for

• 5+ years in product design, with experience owning meaningful consumer product experiences end-to-end
• A standout UI portfolio demonstrating exceptional visual craft and shipped consumer work
• Strong product judgment — you can move beyond executing requirements and help determine what should be built and why
• The ability to operate independently and lead through the work, bringing back thoughtful options rather than blockers
• Deep, daily use of AI throughout your workflow, including:
  • Imagery & video: Midjourney, Sora, Runway, Kling, Nano Banana
  • Code prototyping: Cursor, Claude Code, Codex
  • Design & production: Figma AI, MCP-based workflows

• Comfort moving between product thinking, interaction design, visual design, prototyping, and production details

   

Why join SkinnyRx

• High ownership and direct influence over the product and design direction
• Work closely with the people making product and technology decisions
• A culture of shipping weekly rather than designing in isolation
• AI-native workflows with a generous tooling budget — if a tool makes you better or faster, we want you using it
• Fully remote and async-friendly, across time zones
• Compensation scaled to your level

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

BlueVPS OÜ is looking for a Senior SEO Specialist with

Responsibilities:
- Develop and execute the international organic search strategy across the US, UK, Europe, and APAC, driving qualified traffic, customer acquisition, conversions, and revenue.

- Own site architecture, crawlability, indexation, internal linking, Core Web Vitals, structured data, and SEO aspects of website migrations. Translate technical SEO requirements into clear and actionable tasks for development teams.

- Build topical authority and organic visibility across key hosting and cloud products, including VPS, Dedicated Servers, GPU Servers, Cloud Infrastructure, and data center locations. Create data-driven content briefs and collaborate with content and product teams.

- Develop authoritative and sustainable link-building strategies and collaborate with PR and Marketing teams on digital PR, industry research, data-driven campaigns, and linkable assets.

-  Develop, test, and evaluate AEO/GEO strategies to increase brand visibility across AI-driven search and discovery platforms, including ChatGPT, Gemini, Perplexity, and Google AI experiences.

- Own organic search reporting through Looker Studio, GA4, and Google Search Console, track business-focused SEO KPIs, run SEO experiments, identify growth opportunities, and mentor SEO team members or external contractors.

Requirements:
- Experience: 5+ years of hands-on SEO experience, preferably in international B2B SaaS, Cloud, Hosting, Telecom, Cybersecurity, or other highly competitive technology sectors.

- Advanced expertise in site architecture, crawling and indexation, internal linking, international SEO (hreflang and multi-regional setups), JavaScript rendering, Core Web Vitals, structured data, canonicalization, and indexation control.

- Strong understanding of international and multi-regional SEO, including hreflang, localization, regional search intent, SERP differences, and market-specific keyword research.

- Strong knowledge of keyword research, search intent, competitor and SERP analysis, topical authority, content architecture, and optimization for competitive commercial queries.

- Strong understanding of link building, backlink analysis, link quality assessment, competitor link research, and Digital PR.
- Advanced hands-on experience with Google Search Console, GA4, Ahrefs, Semrush, Screaming Frog, and Looker Studio or comparable tools.

-  Strong analytical skills with the ability to translate complex SEO and performance data into business decisions and connect organic search performance to customer acquisition and revenue.

- Ability to independently prioritize SEO initiatives and work effectively with Development, Content, Product, Marketing teams.

- Language: English at C1 (Advanced) level, with strong written and verbal communication skills for evaluating technical and marketing content and collaborating across distributed international teams.

Nice to Have:
- Domain knowledge of hosting, VPS and Dedicated Servers, IaaS, cloud infrastructure, data centers, CDN, networking, DDoS protection, or cybersecurity.

- Hands-on experience with server log analysis, SQL, Python, APIs, or SEO automation.

- Experience managing SEO during complex website migrations, domain consolidations, redesigns, or major site architecture changes.

- Practical experience with AEO/GEO, AI Search optimization, LLM visibility tracking, or experimentation with AI-driven discovery platforms.

- Experience mentoring SEO specialists or managing external SEO agencies and contractors.

Our Customer:

Our customer is a technology company developing data-driven solutions for digital advertising and real-time campaign optimization. The team works with large-scale data and Machine Learning to support automated advertising decisions and improve campaign performance.

Your tasks:

• Develop, improve, and operate ML models used in production advertising systems.
• Work on ML problems related to bidding, bid optimization, and real-time advertising decision-making.
• Develop models for CTR/CVR prediction.
• Optimize campaign performance, budget allocation, and pacing.
• Work on ranking and decisioning models for advertising systems.
• Analyze large-scale advertising data and identify opportunities for optimization.
• Translate business and advertising problems into practical Data Science / ML solutions.
• Evaluate model performance and business impact using relevant advertising KPIs.
• Conduct experiments and A/B testing to validate and improve ML solutions.
• Collaborate with engineering and product teams to deploy and continuously improve production models.

Required experience and skills:

• 5+ years of commercial experience in Data Science / Applied Machine Learning.
• Hands-on experience in AdTech / Programmatic Advertising.
• Direct experience with RTB / real-time bidding systems.
• Commercial experience applying ML/Data Science to advertising optimization.
• Hands-on experience with bidding or bid optimization.
• Experience with CTR/CVR prediction, campaign optimization, ranking, pacing, budget allocation, or advertising decisioning.
• Experience developing, improving, or operating ML models in production.
• Strong Python skills.
• Strong SQL skills and experience working with large-scale datasets.
• Experience translating business problems into ML/Data Science solutions.
• Strong analytical and problem-solving skills.
• Strong English communication skills.

Would be a plus:

• Experience with DSP platforms.
• Experience with bidder logic, bidding algorithms, or bid-price optimization.
• Knowledge of OpenRTB and auction dynamics.
• Experience with real-time decisioning or pre-bid optimization/filtering.
• Experience with user acquisition, retargeting, or performance advertising.
• Experience with large-scale real-time ML.
• Experience with online experimentation / A/B testing.
• Experience with contextual bandits, online learning, or reinforcement learning.

About the Project

We are looking for a Data Analyst to join an international project focused on large-scale data aggregation and operational support. This role combines data analysis with operational responsibilities, offering an opportunity to work closely with both internal teams and the client.

Responsibilities

• Analyze large datasets and provide actionable insights.
• Validate business hypotheses and support data-driven decision-making.
• Write, optimize, and maintain SQL queries.
• Investigate client-reported issues and perform data validation.
• Conduct root cause analysis and assist in resolving operational incidents.
• Support day-to-day operational processes and client requests.
• Collaborate with cross-functional teams and stakeholders.

Requirements

• Solid knowledge of SQL, Python, and Excel.
• Strong self-management and ability to work autonomously.
• Experience working in distributed or remote teams.
• Ability to operate effectively in a dynamic, operational environment.

• Flexibility to occasionally support business needs outside standard working hours.

   

Working Conditions

• Working schedule: Sunday–Thursday (Ukraine time zone).
• Strong focus on information security and data confidentiality.

Hiring process

1. HR interview
2. Logic assessment
3. Python assessment 
4. Technical interview
5. Client interview

About the Role

We are looking for a Sales Research Associate to join our Sales team and support the SDR function by identifying and qualifying potential customers in the US and Canadian construction market.

Your main responsibility will be to research target companies, identify the right decision-makers, verify contact information, and prepare qualified leads for the SDR team. This is a research-focused role with no outbound calling quota.

What You’ll Do

• Research companies within the US and Canadian construction market.
• Identify relevant decision-makers and key contacts within target companies.
• Use ZoomInfo and other research tools to find and verify contact information.
• Analyze company structure, projects, and industry information to determine whether a company fits our target profile.
• Monitor FAA construction-related filings and use them to identify potential companies and projects.
• Add and maintain accurate company and contact information in HubSpot.
• Assign the appropriate company segment, ICP tier, and owner.
• Create well-prepared HubSpot tasks for SDRs with all the relevant information needed for outreach.
• Work closely with SDRs and the Sales team to clarify and qualify potential leads.
• Document research processes and contribute to improving and automating lead research workflows.

What We’re Looking For

• Experience in sales research, lead generation, sales operations, data enrichment, or a similar role.
• Hands-on experience with ZoomInfo and HubSpot.
• Good understanding of the US and Canadian construction industry.
• Ability to distinguish between general contractors, steel erectors, steel fabricators, and other construction companies.
• Strong online research and analytical skills.
• Ability to work with regulatory or industry-related documents and extract relevant information.
• Fluent English, both written and spoken.
• Strong attention to detail and data accuracy.
• Ability to organize information clearly and work independently.
• Willingness to document processes and contribute to their future automation.
• Based in Ukraine and comfortable working with several hours of overlap with US business hours.

Nice to Have

Experience with tools such as:

• LinkedIn Sales Navigator
• Apollo
• Cognism
• Lusha
• Clay

What Success Looks Like

• High-quality, qualified contacts are consistently delivered to the SDR team.
• CRM data is accurate, complete, and properly categorized.
• SDRs can start outreach without having to conduct additional research.
• New opportunities identified through construction projects and FAA filings are quickly converted into actionable leads.
• Research processes become increasingly structured and automated over time.

Java · Selenide · AWS / Azure / GCP · Kubernetes · Terraform · Runtime Threat Detection
 

About the role

Upwind is a runtime-powered cloud security platform. We protect customers' cloud environments across AWS, Azure, and GCP — from the moment an account is onboarded, through vulnerability and image scanning, CSPM and compliance, identity and inventory correctness, all the way to runtime threat detection.
 

You will own quality for a set of product areas end to end: writing and running the manual test plans, building and maintaining the UI automation that keeps them from regressing, and being the person who finds the problem before a customer does. You sit inside a feature squad next to the backend and frontend owners, not downstream of them.
 

This is a hands-on role with a real learning curve on the cloud-security domain. We expect you to grow into it, and we will support that.
 

What you'll actually do

Manual testing & test design

• Build test plans for new features — onboarding flows, dashboards, scanners, integrations — and turn them into structured, prioritized test cases (P0/P1/P2) with clear preconditions, steps, and exit criteria.
• Run feature-level manual QA cycles: validate acceptance criteria against the PRD, verify each functional requirement, sign off before go-live.
• Run regression and retest sweeps ahead of releases, and verify fixes on dev before they move forward.
   

Bug reporting

• File bugs that engineers can act on immediately: summary, exact reproduction steps, expected vs actual, impact, environment, and evidence (HTTP requests/responses, Terraform or Helm output, console links, screenshots).
• Triage bug clusters by root cause and link related issues, rather than filing ten tickets for one underlying defect.
• Escalate customer-impacting findings clearly — especially anything that blocks onboarding or produces silent data inconsistency.
   

Automation

• Write and maintain WebUI automated tests in Java + Selenide, extending an existing framework: new test cases, page objects, helpers, test data.
• Grow automation coverage for the areas you test manually, so that manual effort shifts toward exploratory and new-feature work.
• Keep the suite healthy — investigate failures, distinguish real defects from flakiness, and fix the flaky ones.
• Push testability into the product: drive stable data-testid selectors and other conventions instead of depending on CSS classes, DOM structure, or text.
   

Cloud & hands-on environment work

• Set up and tear down test environments yourself: onboard AWS accounts and organizations via CloudFormation and Terraform, onboard Azure tenants and GCP projects, and verify off-boarding actually cleans up.
• Deploy and validate our sensors — the Upwind Operator on EKS via Helm, and host agents on EC2 instances.
• Generate realistic QA workloads and verify the platform detects and displays them correctly.
• Cross-check what the UI shows against the underlying data — backing stores, exports, and reports — to catch cases where the UI and reality disagree.
   

Collaboration

• Work daily with backend and frontend engineers, product managers, and designers inside feature working groups (Slack channels, Figma, Confluence).
• Keep test plans, test cases, and results documented in Jira and Confluence so anyone can pick up the state of a feature.
   

What we're looking for

Must have

• Commercial experience in software QA covering both manual and automated testing.
• Java — confident enough to read, extend, and debug an existing test codebase.
• Hands-on experience with UI test automation (Selenide, Selenium, or a similar WebUI framework). Selenide specifically is a plus, but transferable experience is fine.
• Solid test design fundamentals: equivalence classes, boundary values, negative testing, prioritization, and knowing what not to test.
• Comfort with REST APIs and browser devtools — reading requests, responses, status codes, and payloads to pinpoint whether a bug is frontend, backend, or data.
• Working knowledge of at least one major cloud provider (AWS, Azure, or GCP) — you can navigate a console, understand IAM basics, and follow an onboarding flow.
• Basic Linux and CLI comfort: SSH, systemctl, log reading, running install scripts.
• Git, and experience working in a Jira-based workflow.
• English sufficient for daily written and spoken work with a distributed team.
   

Nice to have

• Kubernetes fundamentals — enough to run kubectl, install a Helm chart, and read pod logs.
• Terraform or CloudFormation exposure.
• Background or genuine interest in cybersecurity: vulnerabilities and CVEs, CSPM, IAM, threat detection.
• SQL or experience querying a data store (e.g. OpenSearch) to verify data independently of the UI.
• CI/CD experience — running suites in a pipeline, reading build failures.
• Experience testing in regulated or compliance-driven environments (FedRAMP, SOC 2, or similar).
   

What matters most to us

• Curiosity about why something broke, not just that it broke. The best bugs on our board come with a diagnosis attached.
• Ownership. You set up your own environments, you chase the answer, you follow the fix through to verification.
• Precision in writing. A vague bug report costs the team a day; a good one saves it.
• Willingness to learn cloud security fast. You don't need to arrive an expert — you do need to want to become one.
  
   

What you'll learn here

Real depth in cloud security across all three major providers, hands-on Kubernetes and infrastructure-as-code, a mature Java automation stack, and what it takes to ship a security platform trusted with production cloud environments.

Come Back Agency supports US software and technology companies by running their hiring process. We work with delivery and leadership teams to define roles, screen candidates, and manage interviews. Successful candidates are hired directly by the company and become part of its team.

This position is with a US-based software company providing custom development and AI implementation for North American clients. The team builds and maintains production software, including AI-enabled systems, and works in long-term client engagements. Team members operate as part of an internal, distributed team and collaborate directly with client stakeholders.
 

What you will do

• Research relevant companies and contacts
• Find and verify professional email addresses
• Build, clean, and maintain prospect databases
• Set up and manage cold email campaigns in Instantly or similar platforms
• Manage 20+ sending accounts and up to ~2,000 emails per day
• Monitor mailbox health, deliverability, bounce and spam rates
• Add or replace sending mailboxes when needed
• Monitor campaign performance and identify issues
• Keep campaign data organized and provide short daily updates

What we are looking for

• Hands-on experience launching and managing cold email campaigns
• Experience with Instantly, Smartlead, Lemlist, Reply.io, Snov.io, Mailshake, or similar tools
• Understanding of deliverability, mailbox health, sending limits, bounce and spam rates
• Experience finding and verifying professional emails
• Experience working with multiple sending accounts
• Strong attention to detail and ability to work with large databases
• English B1+
• Full-time availability 16:00−00:00 Kyiv time Important: experience only in Data

Research, LinkedIn lead generation, or database building without hands-on cold email outreach is not sufficient for this role.

Nice to have

• Experience with Apollo, Clay, Hunter, Snov.io, NeverBounce, ZeroBounce, or similar tools
• Familiarity with CRM systems and outbound sales workflows
• Understanding of email warm-up and basic domain authentication principles
• Experience in B2B prospecting, lead generation, recruitment research, or email marketing
• Knowledge of Google search operators and other contact research techniques

What we offer

• Fully remote, full-time cooperation
• Stable working hours aligned with the US market: 16:00—00:00 Kyiv time
• Direct cooperation with a US-based software company
• Paid vacation and sick days
• English lessons and speaking clubs
• No time-tracking software
• Structured and personalized onboarding
• A short paid trial period lasting 5−10 working days
• Opportunities for professional growth within the team.
• Support from a mentor during onboarding
• Opportunities for professional growth and increased ownership within the team
• Compensation reviews based on performance

Hiring process

1. Introductory interview with Come Back Agency
2. Professional interview with the client’s representative
3. Short paid trial period
4. Final offer and onboarding

When applying, please briefly mention your cold email experience, platforms used, approximate number of sending accounts, and daily email volume.

You can also apply through our website: comeback.ua.

About the Role

We’re looking for an experienced Forward Deployed Engineer (FDE) to build and deploy real-world AI solutions for international clients.

This role combines strong software engineering skills with a practical understanding of business needs.

You’ll work directly with clients, understand their challenges, design technical solutions, and take AI-powered applications from concept to production.

We’re looking for someone who can do more than write code — someone who can take ownership and make things work.

What You’ll Do

• Work directly with clients to understand their business needs and technical requirements.
• Design, build, and deploy AI-powered applications and integrations.
• Develop LLM-based solutions, RAG pipelines, and AI agents.
• Integrate AI solutions with existing APIs, databases, and enterprise systems.
• Build scalable backend services and production-ready infrastructure.
• Own the full implementation cycle, from discovery and prototyping to production deployment.
• Troubleshoot technical challenges and continuously improve deployed solutions.

Requirements

• 5+ years of software engineering experience.
• Strong Python development skills.
• Experience with backend development, APIs, and system architecture.
• Hands-on experience with LLMs (OpenAI, Anthropic, or open-source models).
• Practical knowledge of RAG, AI agents, and LLM integrations.
• Experience with cloud platforms (AWS, GCP, or Azure).
• Docker, CI/CD, and production deployment experience.
• Strong problem-solving skills and ability to work independently.
• Comfortable communicating directly with international clients.
• English B2+.

Nice to Have

• Experience with LangChain, LangGraph, or similar frameworks.
• Experience with vector databases (Pinecone, Weaviate, Qdrant, pgvector).
• Kubernetes and distributed systems.
• Data engineering or ML infrastructure background.
• Experience as a Solutions Engineer, Solutions Architect, or Technical Consultant.
• Previous experience in client-facing engineering roles.

We are seeking an experienced and driven Business Development Manager to join our B2B casino aggregation team. In this role, your primary objective is to scale our game portfolio by sourcing high-performing and emerging game providers and content aggregators, securing competitive commercial terms, and driving deals from initial outreach to finalized legal contracts.

👤Our criteria:

• 2-3+ years of business development or partnerships experience within providers or aggregators or related igaming field.
• Deep understanding of game providers / agregators B2B pricing structures (GGR, NGR, Hold rates, rev share tiers, minimum monthly fees).
• Proven closing ability: hands-on, persistent approach to aligning internal and external stakeholders.
• An established network of active contacts across top and emerging game studios.
• Fluent English: written and verbal.

⚙️ Your Tasks:

• Sourcing & Pipeline Management: Continuously map the iGaming landscape to identify, evaluate, and reach out to game studios, content providers, and third-party aggregators for integration into our platform.
• Commercial Negotiations: Negotiate optimal commercial terms, including revenue share models, minimum guarantees, setup fees etc.
• Contract Execution & Legal Facilitation: Own the contract lifecycle from draft to signature. Actively push both internal and partner legal teams.
• Handover & Launch Coordination: Ensure a seamless transition of signed partners to the Technical Integrations and Account Management teams.
• Conferences & Networking: Represent the company at major industry events (ICE, SiGMA, SBC etc.) to establish and maintain strong relationships.

💼 Our Offer:

• Flexible work setup — work remotely or from the office, we focus on results, not location;
• Support for a comfortable work environment — we compensate coworking expenses and EcoFlow power stations to help our team stay productive during power outages in Ukraine;
• Unlimited vacation and sick leave, because we trust our people to manage their time responsibly;
• Relocation support for team members who want to move;
• Regular performance-based bonuses that reward individual and team impact;
• Learning support — we cover 50% of professional courses and development programs;
• Language & wellbeing support — we cover 50% of English classes and psychological consultations;
• Career growth opportunities — we prioritize internal promotions and development;
• Team culture that actually feels like one — regular gifts, company merch, and team events throughout the year;
• Real impact — we are small enough for every voice to be heard and big enough to turn great ideas into action quickly.

About us :

Techstack is a technology product engineering company that sets an example for high development standards in the IT industry. We empower each team member to influence the development of the product, company, and processes.

About the product :
We are looking for a Senior Backend Software Engineer (Node.js) to join a long-term project for our Canadian partner, an international software company with a portfolio of Windows products distributed under multiple brands.
The project involves a large, interconnected ecosystem of applications and services built and maintained over many years. It combines legacy systems with modern cloud-based solutions and includes backend services, administrative platforms, APIs, websites, integrations, and internal tools supporting product distribution, marketing, and operations.
You’ll work on maintaining production stability, investigating complex technical issues, improving existing systems, and gradually modernizing the technical environment.
Technology stack :

Backend: Node.js, TypeScript, JavaScript, PHP (legacy), C# (limited exposure)
Databases: MySQL, PostgreSQL, MongoDB, Amazon Aurora, Amazon DocumentDB
Cloud & Infrastructure: AWS, AWS Lambda, Serverless Framework, API Gateway, Load Balancers, AWS Secrets Manager, AWS SDK
Messaging & Caching: RabbitMQ, Amazon SQS, Redis
DevOps & Deployment: Docker, Terraform, CI/CD, PM2, Serverless deployments
Legacy Frontend: AngularJS v1
AI-assisted Development: GitHub Copilot, Cursor, Claude Code, or equivalent tools
 

Your team :

You’ll join a small, experienced Techstack team supporting a diverse backend ecosystem. You’ll work closely with a Senior Engineer who has deep knowledge of the systems, another Senior Engineer involved part-time, and a Project Manager on the client side.
The role offers plenty of independence, ownership, and opportunities to explore complex systems, share knowledge, and make a real impact on their stability and improvement.
Your responsibilities:

• Support and enhance backend services, APIs, admin portals, websites, and automation tools.
• Maintain, troubleshoot, and gradually modernize existing applications across legacy and modern technologies.
• Investigate production issues and perform root-cause analysis.
• Work with AWS infrastructure, cloud services, and deployment pipelines.
• Improve system stability, maintainability, and performance.
• Investigate unfamiliar systems and help recover or improve technical documentation.
• Use AI-assisted development tools for coding, debugging, testing, refactoring, and documentation.
• Review and validate AI-generated code for quality, security, and maintainability.
• Collaborate with the existing team and client-side stakeholders during onboarding and knowledge transfer.
• Take ownership of assigned components and contribute to reducing technical debt.

It’s about you:

• 5+ years of commercial software development experience.
• Strong hands-on experience with Node.js, TypeScript, and JavaScript.
• Experience building and supporting REST APIs and distributed systems.
• Strong SQL skills and experience with relational databases.
• Confident hands-on experience with AWS and cloud infrastructure.
• Experience troubleshooting production systems and working with legacy applications.
• Good understanding of software architecture, design patterns, security, and system integrations.
• Ability to work independently with complex, poorly documented systems.
• Practical experience using AI-assisted development tools such as GitHub Copilot, Cursor, Claude Code, or similar in everyday development.
• Ability to use AI tools to accelerate development, debugging, testing, refactoring, documentation, and codebase investigation while critically reviewing the generated output.
• Strong sense of ownership, attention to detail, and a pragmatic approach to problem-solving.

How to join:

• Pre-screening with a recruiter
• English check
• Techstack internal technical interview
• Techstack PM interview
• Client interview

Culture:

At Techstack, we care about how we build products — not only about the result, but also about the quality of the engineering process and the way we work together.

We encourage people to keep learning, share what they know, and take ownership of their work.

Tech Guilds — communities where specialists share knowledge, discuss technical solutions and approaches, and keep up with industry trends.

Meetups and knowledge sharing — opportunities to share your experience with colleagues and the wider tech community.

Mentoring and leadership — opportunities to grow as a mentor, technical lead, or take on other roles where you can support others and share your expertise.

We believe that good products come from people who care about what they build, keep developing their expertise, and are comfortable both challenging ideas and being challenged.

What we have for you:

• Flexible work format — remote work or one of our hubs in Kyiv, Lviv, Kharkiv, or Wrocław, plus flexible working hours.
• Professional growth — Tech Guilds, mentoring, meetups, knowledge sharing, and other development opportunities.
• Education support — 50% compensation for professional courses, trainings, webinars, and certifications.
• English — free General English, Business English, and speaking clubs.
• Time off — 20 paid days off and 7 paid sick days per year, plus additional days off.
• Support — legal and accounting support.
• Community — online and offline team activities, professional events, and appreciation gifts.

See yourself in this role? Send us your resume and let’s start the conversation!