Jobs at Djinni

Hi! Tallium is looking for a motivated Junior/Middle Lead Generation Manager to run written communication with potential clients and support our outbound lead generation.

About the role

You'll handle written communication with potential clients on LinkedIn and email and run outreach campaigns using the tools, templates and processes we already have in place. About a year of lead generation experience is great, but students and people looking for their first job are welcome too. Motivation, soft skills and good written English matter most, and we'll teach you the rest.

What you'll do

- Search for, qualify and segment potential clients on LinkedIn, by email and in other channels

- Run written communication with potential clients on LinkedIn and by email

- Set up and run automated outreach campaigns using existing tools and templates

- Use data collection and enrichment tools (e.g., LinkedIn Sales Navigator, Apollo, Reply.io)

- Prepare company profiles and meeting notes

Who we're looking for

- English B2+ with strong written communication

- Strong motivation and willingness to grow in lead generation and B2B sales

- Good soft skills: self-organized, proactive, result-oriented

- Attention to detail

- Around 1 year in lead generation is a plus; students and first-job candidates are welcome

Nice to have

- Understanding of the IT Services industry

- Basic knowledge of B2B sales

- Experience with Sales Navigator, Apollo, Reply.io, Snov.io or similar

- Using AI tools (e.g., ChatGPT) in daily work

What we offer

- Bonuses for generated Opportunities

- Interesting, influential projects and long-term cooperation

- Flexible schedule, remote or hybrid work

- Individual growth plan, development budget, workshops and training

- Stable salary and planned reviews

- 21 vacation days, 10 sick days, all public holidays off

- Medical insurance

- Corporate English and team building

About the role
We're building a cybersecurity SaaS product with LLM-powered features. We're looking for a Senior Go engineer on a part-time basis with hourly pay, who will own backend features end to end, from API design to production. We'll share the company name after the intro call.

Format
- Part-time, hourly pay
- Fully remote
- Workload is agreed on the intro call

What you'll do
- Build new features and extend existing functionality, including LLM-based features
- Integrate the platform with third-party services
- Work with AWS infrastructure (EC2, S3 and other services)
- Review the existing codebase, suggest improvements, fix bugs and refactor

First 90 days: onboarding and getting to know the backend code, improvement proposals, bug fixes, refactoring and smaller features.

Tech stack
- Go, Labstack Echo, sqlx
- REST, Swagger / OpenAPI
- PostgreSQL
- AWS: EC2, S3, SES; AWS Bedrock for LLM features
- OpenSearch for observability
- GitHub Actions
- Monolith; background jobs run inside the backend; in-memory caching in Go

Requirements
- 4+ years of commercial backend development, including 3+ years of production experience with Go
- Advanced Go: idiomatic code, concurrency (goroutines, channels, context), error handling, testing and profiling
- Designing and documenting REST APIs (Swagger / OpenAPI) for multi-tenant SaaS, including OAuth 2.0 authorization
- Strong PostgreSQL: schema design, migrations, complex hand-written SQL without an ORM (joins, subqueries, aggregations, window functions, CTEs), query optimization (indexes, EXPLAIN)
- Building fault-tolerant integrations with external services: third-party APIs, webhooks, push/pull
- Hands-on experience with AWS as a developer: EC2, S3, SES
- Observability: logging, metrics, tracing
- Owning a feature end to end: self-review, clear API contracts for the frontend, deploying to the dev environment and testing your work before handing it over
- Secure coding: OWASP API Top 10, secrets management, handling personal data in line with GDPR
- English B1 (Intermediate) or higher

Working with AI
- You use AI daily as an assistant for refactoring, testing and debugging, while writing your own code
- You can critically review AI-generated code for bugs, security issues and design flaws
- You understand how LLMs work: prompting, common failure modes, evaluating output quality
- You've integrated LLMs into Go services: structured output (JSON, tool calling), error and timeout handling, retries, rate limits, cost and latency control

Nice to have
- SSO (OAuth / OIDC), SCIM, Microsoft Graph / Entra ID
- AWS SDK for Go
- Message brokers (RabbitMQ, Kafka)
- Integration testing
- Server-side PDF report generation; i18n in APIs
- Background in cybersecurity; understanding of cryptography (hashing, symmetric and asymmetric encryption)
- Shipping LLM-based features to production
- AI agents and tool calling (including MCP), RAG with embeddings and vector search
- LLM security: prompt injection, data leakage, OWASP Top 10 for LLM Applications

Hiring process
1. Intro call
2. Technical interview
3. Final interview and offer

About the Role

Gravira Group is looking for an experienced Lead Affiliate Manager to drive affiliate growth across Tier-1 markets.

We are looking for a hands-on leader who can build strong partnerships, scale profitable traffic, develop the affiliate team, and take ownership of channel performance.
​
Responsibilities

• Lead, mentor, and develop the Affiliate Management team.
• Develop and execute affiliate growth strategies focused on Tier-1 markets.
• Identify, negotiate, and establish partnerships with affiliates, media buying teams, and networks.
• Manage and scale key partnerships across Facebook, SEO, PPC, UAC, and other acquisition channels.
• Negotiate CPA, RevShare, and Hybrid deals based on traffic quality and profitability.
• Monitor affiliate performance, FTD, conversion rates, NGR, ROI, and partner profitability.
• Set team KPIs, monitor performance, and drive continuous improvement.
• Optimize partner acquisition, onboarding, activation, and retention processes.
• Collaborate with Media Buying, Product, BI, Risk, and Payments teams.

• Identify new growth opportunities and improve affiliate operations.

   

Requirements

• 3+ years of experience in Affiliate Marketing within iGaming/online casino.
• Proven experience leading or mentoring Affiliate Managers.
• Strong understanding of Tier-1 markets.
• Established network of affiliates, media buying teams, and traffic partners.
• Hands-on experience with Facebook traffic and other acquisition channels.
• Strong negotiation skills and experience with CPA, RevShare, and Hybrid models.
• Solid understanding of affiliate KPIs, traffic quality, and unit economics.
• Analytical mindset with a strong focus on profitability and measurable results.
• Proactive, independent, and results-driven leadership approach.
• English B2+.

• Ukrainian language proficiency is required.

   

Nice to Have

• Direct experience scaling affiliate traffic in Tier-1.
• Experience building an affiliate team or department.
• Knowledge of Affilka, NetHunt, and Power BI.

• Established relationships with Tier-1 affiliate networks.

   

What We Offer

• Fully remote work and flexible working hours.
• Competitive salary with performance-based bonuses.
• Direct collaboration with company leadership.
• High level of autonomy and ownership.
• Opportunity to influence affiliate strategy and team development.
• Fast-growing product focused on Tier-1 markets.

• Paid vacation and sick leave.

   

Hiring Process

1. Intro Call with Talent Acquisition.
2. Interview with Hiring Manager.
3. Final Interview.

About the Opportunity

We are hiring for our partner — an international iGaming business operating two online casino brands focused primarily on Tier 1 markets.

We are looking for a PSP Specialist with hands-on experience working with LATAM payment service providers (PSPs) to support payment provider evaluation, business analysis, technical integrations, and ongoing payment performance optimization.

The key objective of this role is to evaluate whether potential PSP partnerships are commercially viable and operationally efficient for the business.

You will analyze PSP proposals, assess payment economics, review technical integration requirements, coordinate with internal teams and external providers, and monitor PSP performance after launch.

Practical experience with LATAM PSP providers and a strong understanding of regional payment methods and market specifics are essential for this position.

Key Responsibilities

• Identify, evaluate, and compare potential PSPs and payment methods, with a focus on LATAM markets.
• Build business cases and financial calculations to assess PSP commercial viability.
• Analyze incoming and outgoing transaction volumes, fees, conversion and approval rates, reserves, settlements, FX, limits, chargebacks, and payout conditions.
• Research LATAM payment providers, local payment methods, and regional payment solutions.
• Compare PSP proposals and prepare structured recommendations for provider selection.
• Review technical documentation and assess integration requirements, including APIs, webhooks, callbacks, transaction statuses, deposits, withdrawals, and refunds.
• Coordinate PSP integrations with external providers and internal Product and Development teams.
• Support integration testing, troubleshooting, and go-live processes.
• Monitor PSP performance after launch, analyzing turnover, approval rates, transaction costs, payment failures, and technical stability.
• Compare actual PSP performance against initial business calculations and identify optimization opportunities.
• Prepare payment performance reports, business insights, and recommendations for management.

Requirements

• 2+ years of experience in PSP management, payment operations, payment integrations, acquiring, or payment analytics.
• Hands-on experience working with LATAM PSP providers is mandatory.
• Good understanding of LATAM payment markets, local payment methods, and regional payment specifics.
• Experience in iGaming, preferably with online casino deposit and withdrawal flows.
• Strong understanding of PSPs, acquiring, payment gateways, APMs, settlements, reserves, chargebacks, refunds, and FX.
• Experience evaluating PSP commercial proposals and calculating payment costs and business economics.
• Strong analytical and numerical skills.
• Advanced Excel / Google Sheets skills.
• Ability to read and understand technical documentation and assess payment integration requirements.
• Understanding of APIs, webhooks/callbacks, transaction statuses, and payment flows.
• Experience participating in PSP integrations, testing, and technical onboarding.
• Ability to communicate effectively with business, technical teams, and international payment providers.
• English sufficient for professional communication with international PSPs.

Nice to Have

• Established relationships with LATAM PSP providers.
• Experience working with multiple LATAM countries and local payment methods.
• Experience with both fiat and cryptocurrency payment solutions.
• Experience managing PSP performance across multiple online casino brands.

What We Offer

• Opportunity to work with two international online casino brands focused primarily on Tier 1 markets.
• Hands-on involvement with international PSPs and LATAM payment providers.
• Exposure to both fiat and cryptocurrency payment solutions.
• Direct involvement in PSP selection, commercial evaluation, integrations, and performance optimization.
• Opportunity to develop expertise at the intersection of Payments, Business, Finance, Product, and Technology.

24PLAY is a gamedev company from Ukraine that has been developing and publishing mobile games since 2019. We are a team of professionals who have launched dozens of popular games and gained over 100 million satisfied players worldwide. Our games include Zombiepunk, Bliezkrieg Assault, Street Dude, and more.

As a Diia City resident, we offer employee reservation starting from the first day of employment.

We are currently looking for a Project Manager to share our core company values:

• Creativity: We actively encourage and embrace each other’s ideas, transforming them into reality through collaboration and innovative thinking.
• Integrity: We commit to providing honest feedback and realistically assessing situations, fostering a culture of trust and transparency.
• Productivity: We strive to optimize our workflows to achieve the best possible results in the shortest timeframe, ensuring efficiency and effectiveness in our operations.
• Uncompromising Quality: Our commitment to excellence drives us to prioritize the quality of our work above all else, ensuring that we consistently deliver outstanding results.
• Healthy Lifestyle: We advocate for a healthy lifestyle and stand against harmful habits, promoting well-being and balance within our team.

We are looking for a professional for the role that requires:

• Full-time job;
• Office-based in Kyiv.

Main responsibilities:

• Managing game projects & our internal tools, including planning, execution, and control of project tasks
• Ensuring effective resource allocation and meeting project deadlines
• Creating all necessary documentation for the project: tech specs, design docs, etc.
• Coordinating the work of developers, designers, and other project participants
• Identifying and managing project risks and resolving issues in a timely manner
• Ensuring high product quality and successful achievement of project objectives
• Managing stakeholders: overseeing communication and expectations of all project stakeholders
• Reporting to management on project progress

Our ideal candidate:

• At least 1 years of experience in project management
• Upper-Intermediate level of English or higher
• Knowledge of project management methodologies (e.g., Agile, Scrum)
• Understanding of mobile product metrics
• Strong teamwork and leadership skills
• Ability to work in a fast-paced environment and meet deadlines
• Analytical and problem-solving skills
• High level of self-organization and ability to multitask

Nice to have:

• Experience in game development will be an advantage

Why join our team?

• Fully Legal: Official employment in full compliance with Ukrainian labor legislation, including paid vacation (24 days) and sick leave (unlimited).
• Professional Team: A high-performing group of skilled individuals committed to excellence.
• No Overtime: We prioritize a healthy work-life balance, with no overtime required.
• Stable Payments: No payment delays since the foundation of the company.
• Professional Development: Access to mentorship programs and our internal library for continuous growth.
• Weekly Events: Enjoy board games, masterclasses, corporate events, BBQs, sports activities, and free English classes.
• Comfortable Workspace: A modern office in Kyiv featuring a spacious lounge, fully-equipped kitchen, sports zone, cinema, and complimentary spa facilities for employees.

About us

Farsight Vision converts flight footage into digital 2D and 3D twins for real-time intelligence in GNSS-denied environments, making analytics and situational awareness convenient and accessible while saving time and effort. We create multi-layered digital twins of terrain with dynamic tracking and object/landscape monitoring and predicting.

As a Computer Vision Engineer focused on Visual Place Recognition (VPR), you will own the models and pipelines that answer a critical question in the field: where are we? You will research, train, and ship VPR systems that work under viewpoint change, illumination shift, seasonal variation, and degraded imagery typical of real operations — not only clean academic benchmarks.

If you thrive in startup environments, are proactive, and enjoy turning research into reliable production systems, this role is a chance to shape core localization capability for a defense-tech platform used in live operations.

Responsibilities

• Own Visual Place Recognition end-to-end: problem framing, dataset curation, training, evaluation, and deployment into the FSV Platform.
• Design, train, and iterate on VPR models and retrieval pipelines — global descriptors, local feature matching, and hybrid approaches as the task requires.
• Work with and extend modern VPR / visual localization methods (for example NetVLAD, MixVPR, CosPlace, EigenPlaces, AnyLoc, DINOv2-based descriptors, SuperPoint / SuperGlue / LightGlue-style matching) and know when classical or learning-based methods fit better.
• Build robust training pipelines: data prep, augmentations for domain shift, hard-negative mining, loss design, hyperparameter search, and reproducible experiment tracking.
• Evaluate models beyond top-line recall — failure modes under night, blur, compression, seasonal change, and map–query domain gap; define metrics that matter for field use.
• Package and serve models for production inference (GPU and constrained / edge settings when needed), working with backend and MLOps on versioning, monitoring, and redeployment.
• Collaborate with backend, geospatial, and field teams to integrate VPR into mapping, localization, and digital-twin workflows.
• Use AI coding tools daily, and review, test, and stand behind every line and every model that ships.
• Run small PoCs on new architectures or training recipes, measure them honestly, and bring the team a reasoned recommendation.

Requirements

• 3+ years in computer vision / deep learning for real products or research transferred to production.
• Strong Python and hands-on experience with PyTorch (or equivalent) for training and debugging vision models.
• Proven experience with Visual Place Recognition, visual localization, image retrieval, or closely related geo-localization / SLAM-adjacent perception.
• Ability to train and fine-tune VPR / retrieval models from scratch or from public checkpoints: datasets, losses, mining strategies, and evaluation protocols (e.g. recall@N, precision–recall under realistic splits).
• Working knowledge of modern VPR and matching literature and the judgment to pick methods for viewpoint, appearance, and domain shift — not only recreate paper numbers.
• Experience with large-scale feature indexes / ANN search (FAISS or similar) and practical retrieval system design.
• Solid understanding of CNN and transformer backbones, representation learning, and metric learning.
• Comfort debugging models and data issues that show up in the field (noisy labels, distribution shift, rare failure cases).
• Experience in a fast-paced environment with high ownership and ambiguous requirements.

Nice to have

• Published work or strong open-source contributions in VPR, visual localization, or image retrieval.
• Multi-view geometry, SfM / SLAM, or photogrammetry experience (COLMAP, OpenMVG, etc.).
• Geospatial stack: georeferencing, map alignment, GDAL, orthophotos, point clouds.
• Model optimization for deployment: ONNX, TensorRT, quantization, distillation.
• Video / sequential place recognition, temporal consistency, or map maintenance over time.
• Experience with aerial / drone imagery and GNSS-denied or contested environments.
• CUDA and GPU training at scale.
• Defense tech or dual-use background.

Security Eligibility

Our platform is actively used by the Armed Forces in live operations. As an Estonian-Ukrainian defense technology company handling sensitive operational data, we have a responsibility — legal, ethical, and practical — to ensure the integrity of everyone on our team.

All candidates must be able to confirm the following:

• Neither you nor your close relatives (parents, spouse, siblings, children) reside in Russia, Belarus, or temporarily occupied Ukrainian territories
• You have no regular personal, financial, business, or professional contact with individuals in those territories
• You consent to a deeper security verification if the process advances to later stages

If any of the above criteria are not met, please do not proceed with your application.

Why us

• With us, you will become part of a team of professionals who strive to contribute to the development of advanced technologies.
• We value teamwork and create an atmosphere of mutual support where everyone can unleash their potential.
• Flexible work schedule.
• Paid vacation and sick days.

Hiring process

1. Technical Interview (CV / VPR deep dive + practical discussion of training and evaluation).
2. PM & C-level management Interview.

About Farsight Vision:

Farsight Vision develops AI-powered geospatial intelligence solutions for defence and security operations. The platform transforms raw aerial and sensor data into real-time 3D environments, actionable analytics, and AI-assisted operational scenarios, enabling enhanced situational awareness, mission planning, and faster decision-making for both human operators and autonomous systems. We operate at the intersection of geospatial data, computer vision, and defense operations — and if that interests you, read on.

We are looking for a Robotics Engineer to own motion control for our unmanned ground vehicle (UGV) end-to-end — from control theory on paper to a robot that actually moves the way you designed it to. This is not a role for someone who wants control loops handed to them pre-tuned: you will design, implement, and validate them on hardware yourself.
 

Responsibilities:

• Implement navigation and control algorithms for different types of UGVs: differential drive, tracked wheels, Ackermann steering, etc.
• Design and implement control algorithms (PID and beyond) that translate navigation commands into reliable robot motion.
• Own the control stack end-to-end — from algorithm design through tuning and validation on the physical unit.
• Simulate physical driving for different types of wheels and terrains before deploying to hardware.
• Work closely with the Robotics team on actuator and sensor integration, since control quality is only as good as what it’s built on.
• Debug control issues that only show up in the field, not in simulation — this role is hands-on with the physical robot in Lviv.
• Collaborate with the Perception Engineer so control decisions correctly account for obstacle and environment data.
• Propose architecture and design decisions rather than waiting to be handed a fully-scoped ticket: this is a small team building a new capability almost no one in the Ukrainian market has shipped yet.

Requirements:

• Strong mathematical foundation: linear algebra, calculus, and the algorithmic thinking control systems are built on.
• Practical experience with control theory — PID control at minimum, ideally more advanced control approaches.
• Background in robotics, guidance, or navigation systems (e.g., autonomous vehicle guidance, drone terminal guidance, or similar).
• Experience with physics simulators (e.g. Gazebo, NVIDIA Isaac, MATLAB, Simulink), with the ability to simulate dynamic models and verify controller performance before deployment.
• Experience working with sensors such as IMU, LiDAR, etc.
• Knowledge of state estimation and filtering (e.g. Kalman filter, extended Kalman filter, complementary filter).
• Solid programming skills in C++ (and Python for prototyping).
• Good OOP skills — ability to write and design clean code that’s flexible to extend and maintain.
• Comfortable working close to hardware, not purely in a software abstraction layer.
• Upper-Intermediate+ English.

Nice to have:

• Experience with ROS/ROS2
• Path planning algorithms (A*, D*, RRT, etc.)
• Prior work on UAV or UGV guidance/navigation systems
• Defense-tech or military-tech industry exposure
• Embedded systems or hardware-adjacent experience

Security Eligibility:

Our platform is actively used by the Armed Forces in live operations. As an Estonian-Ukrainian defence technology company handling sensitive operational data, we have a responsibility — legal, ethical, and practical — to ensure the integrity of everyone on our team.

All candidates must be able to confirm the following:

Neither you nor your close relatives (parents, spouse, siblings, children) reside in Russia, Belarus, or temporarily occupied Ukrainian territories

You have no regular personal, financial, business, or professional contact with individuals in those territories

You consent to a deeper security verification if the process advances to later stages

If any of the above criteria are not met, please do not proceed with your application.

Why Farsight Vision

We are a startup operating under real-world conditions — our product is in active deployment, and the pace reflects that. We are not a company where you get to run the same experiment three times until it’s elegant — we need someone who wants to see their control loop working on a real robot within weeks, not quarters, and who is motivated by the fact that what you build here gets used, not shelved.

Flexible working hours. Paid vacation and sick leave. Direct access to founders and leadership.

Application Process:

• Apply with your CV and a brief cover letter explaining your interest and relevant experience
• Complete a short practical assignment involving a control/navigation problem drawn from our platform
• Interview with the Recruiter and Lead Robotics Engineer

🚀 Anti-Fraud Traffic Analyst (Affiliate Marketing | iGaming)

About the Role

We're looking for an Anti-Fraud Traffic Analyst to join our Affiliate Marketing team and take ownership of traffic quality across our iGaming brands targeting Tier 1 markets (UK & Netherlands).

This is not a classic payment or KYC anti-fraud role. Your primary focus will be affiliate traffic analytics, FTD validation, fraud detection, and traffic quality assessment before partner payouts are approved.

You'll work closely with Affiliate Managers, Marketing, BI, and Product teams to ensure that every acquisition channel delivers real, valuable players while continuously improving fraud detection processes through data analysis and automation.

What You'll Do

• Analyze affiliate traffic performance across partners, campaigns, and traffic sources.
• Validate FTD quality before billing and identify low-quality or fraudulent acquisitions.
• Detect traffic manipulation, including:
  • Multi-accounting;
  • Bot traffic;
  • Device and identity overlaps;
  • VPN / Proxy usage;
  • Bonus abuse;
  • Fake registrations and deposit patterns;
  • Incentivized or low-intent traffic.
• Investigate suspicious behavioral patterns using player activity, retention, deposits, gameplay, and conversion metrics.
• Cross-check data between Affilka, tracking platforms, BigQuery, and internal BI tools.
• Build clear evidence-based reports supporting traffic rejection decisions.
• Develop and continuously improve anti-fraud rules, validation logic, and traffic quality standards.
• Identify recurring fraud patterns and recommend preventive solutions.
• Collaborate closely with Affiliate Managers to improve partner quality and optimize acquisition performance.
• Work alongside Marketing, BI, Product, and CRM teams to understand how traffic quality impacts long-term player value.

What We're Looking For

• 1–3+ years of experience in Affiliate Marketing, Traffic Analytics, Anti-Fraud, Media Buying, or iGaming Analytics.
• Strong understanding of affiliate traffic, player acquisition funnels, and common fraud schemes.
• Experience analyzing acquisition quality beyond simple conversion metrics.
• Confident working with large datasets using Excel or Google Sheets.
• Basic SQL skills (SELECT, JOIN, GROUP BY).
• Experience working with platforms such as:
  • Affilka;
  • Keitaro;
  • Voluum;
  • or similar affiliate tracking systems.
• Strong analytical mindset with the ability to justify decisions using data.
• English level B1+.

AI & Automation

We highly value specialists who actively leverage AI to improve efficiency.

Experience using AI tools for:

• automating repetitive workflows;
• building dashboards and reporting;
• data analysis;
• writing SQL queries;
• developing internal analytical tools;
• creating lightweight internal CRM or monitoring solutions

will be considered a significant advantage.

Nice to Have

• Experience working with Tier 1 markets (UK / Netherlands).
• Experience with device fingerprinting solutions.
• Knowledge of KYC / AML processes.
• Experience with BI platforms (Power BI, Looker, Tableau).
• Python or scripting skills for workflow automation.

What We Offer

• Opportunity to build and improve anti-fraud processes rather than simply follow existing rules.
• Direct impact on affiliate traffic quality and marketing profitability.
• Close collaboration with Affiliate, BI, Marketing, CRM, and Product teams.
• Freedom to introduce new analytical approaches, automation, and fraud detection methods.
• Full-time remote position.
• Working hours: Monday–Friday, 10:00–19:00 (EET).
• A fast-moving product environment where data drives decision-making.

About Come Back Agency & Client Position

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.

About the Role

As we scale our operations and infrastructure, we are looking for a hands-on DevOps / Platform Engineer who can design robust cloud environments, standardize infrastructure templates, and support our compliance readiness.

In this role, you will build automated end-to-end cloud infrastructure, manage multi-account AWS environments, support Kubernetes clusters, and collaborate on security hardening. You will also play a key role in supporting upcoming enterprise vendor reviews and compliance readiness (SOC 2 / ISO 27001) by gathering evidence, addressing security gaps, and utilizing cloud security mechanisms.

What You Will Do

• Cloud Architecture & Multi-Account Setup: Design, build, and maintain AWS infrastructure from scratch; standardize multi-account environments (AWS Organizations) and repeatable landing zones.
• Infrastructure & CI/CD: Manage Infrastructure as Code using Terraform and maintain scalable automated CI/CD pipelines (primarily GitHub Actions).
• Container Orchestration: Support and maintain production Kubernetes clusters (Amazon EKS).
• System Migration: Assist with migrating internal and client services/applications to AWS in alignment with security best practices.
• Security Hardening & Access Control: Implement least privilege access (IAM), secrets management, network isolation, and standard security practices across cloud environments.
• Compliance Readiness & Evidence Gathering: Support SOC 2 and/or ISO 27001 readiness by identifying security gaps, collecting audit evidence, and providing technical artifacts (using AWS Artifact, Security Hub, or integrated compliance tools).
• Observability & Incident Support: Standardize logging, monitoring, and alerting across environments to ensure full auditability and infrastructure reliability.
   

Requirements

• Experience: 2.5+ years of practical DevOps / Platform / Cloud Engineering experience managing cloud infrastructure.
• AWS & Infrastructure Design: Strong experience with AWS (IAM, VPC networking, compute, logging) and hands-on experience or familiarity with AWS Organizations and multi-account structures.
• Containers & Kubernetes: Hands-on experience managing and supporting production Kubernetes clusters (Amazon EKS).
• Infrastructure as Code (IaC): Solid experience writing and maintaining Terraform scripts.
• CI/CD: Practical experience configuring deployment pipelines from scratch (GitHub Actions preferred, or GitLab CI / Bitbucket Pipelines).
• Practical Security & Compliance: Familiarity with cloud security controls (IAM, encryption, vulnerability scanning) and practical experience with evidence collection and gap remediation for SOC 2 or ISO 27001 audits.
• Communication: B2+ English level (upper-intermediate or higher) for effective daily communication with US-based stakeholders and auditors.

Nice to Have

• Experience or familiarity with compliance automation platforms (e.g., Vanta, Drata, Secureframe, or AWS Security Hub).
• AWS Certifications (e.g., AWS Certified Solutions Architect, SysOps Administrator, or AWS Certified Security - Specialty).
• Experience with cloud application migrations.
   

What We Offer

• Working hours aligned with US time zones, typically 16:00–23:59 Kyiv time.
• Company-sponsored English lessons to support clear and confident communication.
• Paid vacation and sick days.
• Fully remote work model.
• Opportunities for professional growth and support with professional certifications.
• Structured, personalized onboarding to help you ramp up effectively.

Apply with your resume and a short note outlining your relevant experience. You can also submit it through our website at comeback.ua. Selected candidates will be contacted by Come Back Agency.

Soft Does | Remote | Schedule: 16:00 – 00:00 (Kyiv time)
 
Come Back Agency is a recruitment agency that helps IT companies grow their teams with the right people. Right now, we are looking for a Content Manager for our client — Soft Does.

Soft Does is an IT company whose services are used by businesses across the US. We are actively scaling our organic presence and content marketing setup: hundreds of SEO-optimized service pages are already live, and we are expanding into new technology pages and blogs.

In this role, you will act as a core content specialist, combining hands-on content creation with task coordination and mentoring support for team members. You will work in close collaboration with the CEO and the SEO lead.

About the Role
 
Your primary goal will be creating and editing content, coordinating processes, and supporting the team. The main focus is hands-on SEO content creation for the US market, combined with day-to-day team coordination and mentoring.

What You'll Do
 

• Content Creation & Optimization: Write, edit, and optimize SEO texts using Surfer SEO, Gemini, and ChatGPT (deep rewriting, removing cliches, adapting drafts to our structure).
• CMS Work: Publish and format pages in CMS (WordPress/Shopify) using ready-made templates with high attention to detail.
• Coordination & Mentoring: Help colleagues with daily tasks, support onboarding, and share editorial quality standards.
• Keyword Work: Select and analyze keywords to optimize pages for both Google and AI search.
• Process Enhancement: Manage your own task flow independently, track performance metrics, and improve content creation speed.

What We're Looking For
 

• Experience: 1+ year of hands-on content creation and editing experience, supported by relevant work samples. Strong organizational and communication skills, with an interest in mentoring and team coordination. Previous leadership experience is a plus.
• US Market Focus: Experience creating B2B/IT content tailored specifically for the US market.
• SEO & AI Skills: Practical experience with SEO content optimization, keyword research, CMS publishing, and AI-assisted writing. Ability to fact-check, rewrite, and improve AI-generated drafts. Experience with Surfer SEO or similar tools is a plus.
• Language Proficiency: Upper-Intermediate (B2) English or higher — required for direct writing, thorough editorial control, and professional communication.
• Independence & Results: High self-organization, ability to manage your task flow independently, and a result-oriented approach without micro-management.
• Attention to Detail: Meticulous approach to quality, formatting, and structural accuracy across large volumes of web pages.

Nice to Have
 

• Experience working with or handling social media channels (Instagram, Facebook, LinkedIn) for IT or B2B brands.
• Familiarity with Google Search Console and web analytics tools.
• Background in IT services, agency environments, or tech companies.

What We Offer
 

• Work Schedule: Aligned with US business hours, 16:00 – 00:00 Kyiv time.
• Remote Work: 100% remote working format.
• Professional Growth: An opportunity to develop leadership skills through hands-on content work, mentoring, and team coordination.
• Supportive Environment: Paid vacation and sick days, structured onboarding, and continuous English language learning support.

Hiring stages: Recruiter screening → Technical task → Technical interview.
 
Apply with your resume and a short note outlining your relevant experience. You can also submit it through our website at comeback.ua. Selected candidates will be contacted by Come Back Agency.

At ZentixSoft, we are expanding our banking outstaffing operations and are looking for a strong Senior Data Engineer (Databricks) for a long-term enterprise banking initiative.
 

Below are the core details and parameters of the request:

• Domain: Banking / Financial Services.
• Format: 100% Remote.
• Duration: Initial 3-month contract with planned extension through 2029 (Long-term project).
• Start Date: ASAP.
   

🎯 Key Requirements (Must-Have):

1. Banking & ETL/ELT Experience: 5+ years of commercial experience as an ETL/ELT Data Engineer in complex financial services or banking environments handling big data sets.
2. Databricks & Core Tech: Direct production experience with Databricks (mandatory), alongside ETL/ELT tools (ODI, dbt Cloud), orchestration (Airflow, ODI), and GitHub.
3. Data Engineering & Quality: Solid background in metadata-driven development, designing scalable technical data models, performance tuning/troubleshooting, and implementing Data Quality (DQ) rules.
4. Ownership & Independence: Ability to take full ownership of tasks, perform 2nd/3rd level support, mentor team members, and drive delivery without micromanagement.
5. Communication: Strong English communication skills for effective collaboration in an Agile framework.
   
   Nice to Have
   - Experience working within the financial services industry
   - Familiarity with cloud platforms (e.g., AWS)
   - Experience with DevOps practices and tools for continuous integration and continuous deployment (CI/CD)
   - Experience with near real time processing
   - Experience with reporting tools and their inpact on data layers
   - Conceptual understanding with Data Governance tools: Glossary, Data quality, RDM
   - Prior experience with building proactive monitoring solution components for reporting infrastructure

We're looking for a Creative Strategist for a Paris-based, pre-seed (€5M funded) venture that builds creator-led Health & Fitness apps. The studio partners with fitness experts who bring the audience, while the company handles product, tech and growth.

You will work directly with these coaches to build their marketing strategies, define their voice and create content that drives app adoption. We want someone bold, resilient and fast-shipping, who can turn niche fitness expertise into scroll-stopping stories.

Key details

• Employment: Full-time
• Seniority: Mid-Senior
• Location: Lithuania (remote) · France (remote) · Spain (remote) · United Kingdom (remote) · Poland (remote) · Ukraine (remote)
• Location: remote but travels to Paris on a monthly basis are required

What you'll do

• Build marketing and content strategies together with fitness coaches and creators
• Define each coach's voice, positioning and storytelling
• Take ideas from concept to finished ad: scripts, briefs, collaboration with editors, creators and UA managers
• Produce organic and paid short-form content for TikTok, Instagram and YouTube
• Evaluate creative performance (hook rate, CTR, CPI, ROAS) and decide what to scale and what to kill
• Track platform trends and turn them into content quickly

Requirements

• 3–6+ years in social media marketing as a Creative Strategist
• Proven experience working directly with creators, influencers or coaches
• Hands-on experience producing organic and paid content for Instagram, TikTok and short-form video
• Willingness to be based in or travel to Paris

Nice to have

• Experience in the fitness, wellness or sports industry

Greetings! We are looking for a systematic and experienced professional for

the position of Data Analyst for our company.

🧲 Magnetics is a digital company that develops and scales its own online products across competitive and fast-paced markets. Founded in 2014, we rely on data, bold hypotheses, and user experience to grow efficiently.

Requirements:
 

• 3+ years of work experience in the Data analyst, BI analyst, Product analyst or other similar analytics position
• Economic, math or technical education
• Proficient knowledge of BigQuery
• Strong experience with Tableau
• Ability to identify root causes of data anomalies and ability to test data
• Ability to work autonomously and keep the focus on the result
• Ability and readiness to learn fast

Will be a plus

• Experience with GCP services

How you'll be contributing:

• Supporting and Development BI reporting system (ETLs, DWH, BI, reporting andmonitoring from a scratch)
• Testing and validation of data after planned BI releases
• Analyzing the needs of the marketing and product teams in analytics and their implementation
• Search and selection of the best technical solutions adapted to current and future needs of teams
• Ad-hoc product analytics tasks and researches
• Monitoring and analyzing key product and payment funnel metrics

• Generating hypotheses and uncovering growth opportunities

   

Benefits of working with us:

🧲Office in Kyiv or Remote

🧲We cover 50% of the cost for individual courses, training, and language programs

🧲We cover 100% of the cost for team courses

🧲Free consultations with our lawyers and an additional 50% discount on any type of legal services.

🧲Health insurance

🧲Flexible schedule

🧲Regular salary reviews

🧲Team buildings in Ukraine

Ready to build analytics that drive real product decisions? Join Magnetics and let's grow together. Send us your CV!

We are looking for a Senior AI/ML Engineer to design, develop, and enhance AI-driven solutions within the Palantir Foundry and AIP ecosystem.

In this role, you will take ownership of developing production-ready machine learning and LLM-based solutions, from understanding business needs and exploring data to designing technical approaches, implementing solutions, and integrating them into Foundry workflows. You will work closely with data engineers, business analysts, and domain experts, contribute to technical decisions, and help establish best practices for building scalable and reliable AI solutions.

Key Responsibilities:

• Design and develop AI/ML solutions for predictive analytics, classification, forecasting, automation, and AI-assisted workflows within Palantir Foundry, leveraging Python, Ontology objects, pipelines, and workflows.
• Design, implement, evaluate, and optimize LLM/NLP and RAG solutions using Palantir AIP, including prompt engineering, embeddings, retrieval strategies, vector search, and text processing.
• Own the end-to-end lifecycle of AI solutions, from experimentation and model development to deployment, monitoring, and continuous improvement.
• Collaborate with data engineers to understand data sources, ensure data quality, and design efficient and scalable data processing approaches.
• Integrate AI solutions into production workflows and optimize them for accuracy, reliability, latency, scalability, and cost-efficiency.
• Contribute to technical architecture and design decisions, including model, framework, and tool selection; proactively identify technical risks, improvement opportunities and proactively propose solutions.
• Work with business and domain stakeholders to translate business needs into practical, scalable, and production-ready AI solutions, clearly communicating technical decisions and model limitations.
• Identify technical risks, limitations, and opportunities for improvement and proactively propose solutions.

Requirements:

• 4+ years of experience in machine learning, AI engineering, applied data science, or related fields.
• Strong Python skills and hands-on experience with ML frameworks such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
• Strong practical experience with LLMs, NLP, or GenAI applications, including prompt engineering, embeddings, text processing, summarization, or similar use cases.
• Solid hands-on experience designing and implementing RAG architectures, vector databases, and retrieval strategies.
• Strong understanding of the ML lifecycle, including data preparation, feature engineering, model development, evaluation, deployment, and monitoring.
• Experience working with both structured and unstructured data, including tabular data, time series, text, and documents.
• Ability to independently analyze ambiguous problems, propose technical approaches, and drive solutions from concept to implementation.
• Strong communication skills, with the ability to explain AI concepts, technical decisions, and model behavior to non-technical stakeholders.
• Upper-Intermediate English or higher.

Nice to Have:

• Proficiency in Foundry Ontology, Object Builders, and Code Repositories.
• Experience in big pharma or highly regulated industries.
• Knowledge of data privacy, compliance, and security best practices in AI applications.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

Project Description:

We build an in-house trading platform covering order management, execution, and data analysis. It runs on a distributed, event-driven backend.
We're hiring a hands-on SDET to own backend test automation: service, integration, contract, data, resilience and performance testing across the platform. You'll co-architect and co-own a unified testing framework with our UI SDET. It covers UI, API, messaging, data and performance tests in one place.

Responsibilities:

Co-architect and co-own, with our UI SDET, a unified testing framework that covers every area we test:
◦ Shared foundations: fixtures, test data, configuration, environments and reporting are shared across REST, WebSocket, Kafka, database, performance and UI suites.
◦ Cross-layer scenarios: one scenario can follow a workflow from the UI through services and events to the database.
◦ One quality view: results from every suite feed a single view of release quality.
• Design and build automated service, integration and contract tests for REST APIs, WebSocket services, and Kafka producers and consumers.
• Test event-driven flows end to end: message ordering, idempotency, at-least-once and exactly-once semantics, replays, offset handling, dead-letter queues, and schema evolution (Avro, Protobuf, JSON Schema, Schema Registry).
• Build harnesses with controlled test data and service virtualization so suites run consistently and can be repeated.
• Design and build isolated, on-demand test environments on Linux and AWS:
◦ Lifecycle: full service stacks (services, Kafka, databases) are created per branch or per run, start with seeded data and known state, and are torn down automatically.
◦ Isolation: test runs don't interfere with each other or with shared environments.
◦ Infrastructure: the environments are defined as code, with attention to cost.
• Write data-validation tests across relational and analytical databases. Cover reconciliation and aggregation correctness.
• Cover resilience and failure modes: broker and consumer outages, network partitions, timeouts, throttling, slow consumers and backpressure, reconnects, and authentication failures.
• Own backend performance testing:
◦ Latency and throughput: design and run load, stress, soak and spike tests on services, messaging pipelines, streaming and query APIs.
◦ Baselines and regressions: set baselines and service-level targets (p50/p99 latency, throughput, consumer lag), and catch regressions in CI.
◦ Bottlenecks: profile them down to the CPU, GC, query or network layer.
◦ Database queries: track query performance on analytical stores. Know how query shape and data volume drive response time.
• Own backend test execution in CI/CD: parallel runs, scheduled regressions, environment setup and teardown, and release quality gates.
• Make failures diagnosable: structured logs, distributed traces (OpenTelemetry), correlation IDs across services, and clear reports.
• Work with backend engineers, infrastructure, business analysts and traders to define and automate critical business workflows.
• Use AI-assisted tools where they speed up writing tests and analysing failures.

Mandatory Skills Description:

• 5+ years of backend or service test automation, including framework design.
• Strong Python (pytest, requests, asyncio, confluent-kafka or similar) for test frameworks, tooling and data validation.
• Strong Java (JUnit 5, REST Assured, AssertJ, or similar) for testing JVM services.
• Working TypeScript and Node.js skills: contributing to UI and cross-layer suites in the shared framework, and Node-based tooling (k6 scripts, Playwright API tests).
• Hands-on Kafka experience: producing and consuming in tests, consumer groups, partitions and offsets, serialization and schema registry, and Kafka Streams or Connect.
• Solid networking fundamentals: TCP/IP, HTTP/1.1 and HTTP/2, WebSockets, TLS, DNS, load balancers, latency and packet loss. Able to debug with tcpdump/Wireshark, curl and similar tools.
• Strong SQL and database experience (PostgreSQL, SQL Server, or similar) for test data setup, verification and cleanup. Familiarity with columnar or analytical databases.
• Hands-on performance and load testing:
◦ Tools: k6, Gatling, JMeter or Locust, including Kafka throughput benchmarking.
◦ Profiling: JVM tuning and profiling (GC, JFR, async-profiler) or Python profiling.
◦ Analysis: reading latency distributions and percentiles correctly, including coordinated omission.
• API, authentication and contract testing: OAuth/JWT flows, payload and schema validation, and service virtualization (WireMock, MockServer, Hoverfly).
• Experience building isolated test environments:
◦ Linux: strong command-line skills, with shell scripting, systemd, processes, networking and performance troubleshooting.
◦ Containers: Docker, Docker Compose and Testcontainers.
◦ AWS: EC2, ECS or EKS, S3, IAM, VPC, MSK or RDS, and CloudWatch.
◦ Infrastructure as code: Terraform, CloudFormation or CDK.
• CI/CD with Azure DevOps or Jenkins, and Git.
• Strong reliability habits: isolated tests, controlled retries, failure-mode testing, and triage of flaky tests.
• Clear communication and good documentation.

Nice-to-Have Skills Description:

• Trading or buy-side experience: OMS/EMS, the FIX protocol, market data, positions, allocations, or risk.
• kdb+/q, or other time-series databases used for tick data.
• Contract testing with Pact. Property-based testing (jqwik, Hypothesis).
• Kubernetes and Helm.
• Chaos and fault-injection tools (Toxiproxy, Chaos Mesh).
• Observability tools: OpenTelemetry, Grafana, Prometheus.
• Experience with large-scale distributed systems.

Languages:

English: B2 Upper Intermediate