Jobs at Djinni

We are looking for a Sales Specialist with commercial experience in lead generation who can build effective outreach strategies and guide potential clients through the early stages of the sales funnel.

Key Responsibilities

• Develop and execute lead generation strategies
• Identify and engage potential clients
• Manage and nurture leads through initial communication stages
• Build relationships and guide clients toward sales opportunities

Requirements

• Proven commercial experience in lead generation or sales
• Ability to build and execute outreach strategies
• Strong communication and client management skills
• Experience with:
  • LinkedIn Navigator
  • Clutch
  • Upwork

We are looking for a proactive and detail-oriented General QA Engineer who can own the full testing lifecycle. This role is ideal for a strong junior or mid-level specialist who is comfortable working independently, collaborating with developers and product teams, and ensuring high product quality from requirements to release.

Responsibilities:

• Perform full-cycle testing: from requirements analysis to release validation;
• Design, write, and maintain test documentation (test cases, checklists, test plans);
• Conduct manual testing of web and/or mobile applications;
• Identify, document, and track bugs (e.g., using Jira or similar tools);
• Perform regression, smoke, sanity, and exploratory testing;
• Collaborate closely with developers, product managers, and designers;
• Participate in grooming, planning, and sprint activities;
• Validate requirements and provide early feedback on potential issues;
• Support release processes and post-release verification.

Requirements:

• 2+ years of experience in QA (or strong junior with solid practical experience);
• Understanding of QA methodologies, testing types, and software development lifecycle (SDLC);
• Experience with manual testing of web applications (mobile is a plus);
• Ability to write clear and structured test documentation;
• Experience with bug tracking systems (e.g., Jira, YouTrack, etc.);
• Basic knowledge of API testing (Postman, Swagger, etc.);
• Understanding of client-server architecture;
• Basic SQL knowledge for data validation;
• Experience working in Agile/Scrum teams;
• Good analytical thinking and attention to detail;
• English level: Intermediate or higher (written and spoken).

Nice to Have:

• Basic test automation knowledge (any language or framework);
• Experience with browser dev tools;
• Understanding of CI/CD processes;
• Experience with version control systems (Git).

DeepX is looking for a Account Manager / Sales Executive 

We are seeking a proactive sales professional who can independently generate pipeline, lead outbound outreach, and manage the full sales cycle from first contact to closing.

This role is ideal for someone who thrives in startup environments, works confidently without rigid processes, and takes ownership of building results.
 

Must-have:

● Proven experience in full-cycle sales roles such as Account Executive, Full-Cycle Sales, or Account Manager;
● Strong outbound sales experience, including cold calling;
● Ability to generate pipeline independently;
● Experience managing deals end-to-end;
● Comfortable working without predefined scripts or highly structured processes.
 

Nice-to-have:

● Experience in sales enablement (scripts, playbooks, sales frameworks);
● Team leadership, coaching, or mentoring experience;
● Strong lead generation background;
● Exposure to delivery handoff or client onboarding;
● Project management experience within sales cycles.

Where technology vision meets scalable execution.

Softsich is a young and ambitious international product tech company that develops scalable B2B digital platforms. We’re on the lookout for an experienced Chief Technology Officer who’s ready to grow with us and shape high-load, data-driven solutions used by international partners.

This role is about more than just managing engineering teams. You will define the technical vision, build scalable architecture, and ensure the reliability and security of complex distributed systems. Working closely with product leadership and engineering teams, you will guide technical strategy and help transform ambitious ideas into stable, high-performing platforms.

Your key responsibilities will include:

— Responsible for technical solutions, vision and roadmap for company projects
— Own the platform architecture and direction of technical department
— Contribute to company policies and make sure they are correctly implemented within the technology teams
— Standardize, implement, and enforce software development processes Scrum/Kanban, TDD, CI/CD, QA etc.
— Ensure team growth and motivation, including career progression and organizational structure; resolve internal team conflicts and ensure team transparency
— Deliver industry best standards of product stability and reliability and drive the technical vision to achieve product SLA
— Ensure the quality and correctness of developed software
— Be an effective communicator with other Business Units in the group as well as with 3rd party providers and clients
— Provide relevant technical/business issues and reports to the management
— Ensure all regulatory requirements are met and compliance procedures are followed
— Represent the technical teams and communicate technical challenges and opportunities to business management
— Communication with customers, present or potential, on the technical aspects
— Where necessary, get hands-on and assist the development and operations teams with addressing technical challenges or diagnosing operational incidents
— Manage incident responses and root cause analysis for major outages or breaches
— Identify potential risks and implement mitigation strategies
— Oversee cybersecurity measures, ensuring systems and data remain secure

It’s a match if you have:

— 8+ years of experience in software engineering in building and scaling complex platforms
— 3+ years of experience in an architecture leadership role or as a CTO
— Strong experience with Java or Node.js backend development and microservice architectures
— Solid understanding of modern frontend architecture, particularly React-based applications
— Deep knowledge of cloud infrastructure and services such as AWS or Azure
— Proven experience designing and operating high-load distributed systems with strong reliability and performance requirements
— Strong understanding of system architecture, API design, and integration patterns
— Experience implementing observability practices (monitoring, logging, tracing) and improving system reliability
— Experience working with DevOps practices and infrastructure (IaC)
— Ability to lead architecture discussions, technical decision-making, and engineering standards across multiple teams
— Strong communication skills and ability to collaborate with CIO, product leadership, and engineering teams

 

What we offer:

— Flexible schedule and remote format or offices in Warsaw/Kyiv — you choose.
— 24 paid vacation days, sick leaves, and health insurance (UA-based, other locations in progress).
— A supportive, friendly team where knowledge-sharing is part of the culture.
— Coverage for professional events and learning.
— Birthday greetings, team buildings, and warm human connection beyond work.
— Zero joules of energy to the aggressor state, its affiliated businesses, or partners.

Send over your CV now — we’d love to get to know you better!

About the Role

We’re looking for a GPU Performance Engineer to optimize and scale high-performance AI workloads at the kernel level.

This role focuses on deep performance engineering — working directly with CUDA kernels, GPU architecture, and profiling tools to unlock efficiency across training and inference systems. You’ll work on compute-intensive workloads where every microsecond and memory access pattern matters.

If you enjoy low-level optimization, understanding how hardware really works, and pushing systems to their limits — this role is for you.

What You’ll Do

• Design, optimize, and debug CUDA kernels for high-performance AI workloads
• Improve performance of compute-intensive operations (e.g., GEMM, attention, MoE, graph workloads)
• Apply low-level optimization techniques across memory hierarchy, warp execution, tensor cores, and compute efficiency
• Profile and eliminate GPU bottlenecks using tools like Nsight Systems and Nsight Compute
• Integrate optimized kernels into modern AI training and inference stacks
• Build internal tooling for benchmarking, profiling, and performance analysis
• Collaborate with engineering teams on performance-critical model infrastructure
• Contribute reusable performance improvements and best practices across the stack

What We’re Looking For

• Strong hands-on experience with CUDA kernel development and optimization
• Deep understanding of GPU architecture (memory hierarchy, warp scheduling, synchronization)
• Strong C/C++ skills for high-performance systems programming
• Proven experience identifying and resolving GPU performance bottlenecks
• Experience optimizing compute-heavy workloads in real-world systems
• Familiarity with GPU profiling tools (Nsight Systems, Nsight Compute, or similar)
• Experience integrating custom kernels into ML frameworks
• Strong debugging skills and performance-oriented mindset

Nice to Have

• Experience with PTX and architecture-specific optimizations
• Familiarity with modern GPU architectures (e.g., Hopper, Blackwell)
• Experience optimizing Transformer workloads (e.g., attention, FlashAttention)
• Familiarity with Triton, CUTLASS, Thrust, or CUB
• Experience with multi-GPU systems (e.g., NVLink, NCCL)
• Open-source contributions or relevant research in GPU / HPC

Why This Role

• Work on cutting-edge AI systems with real performance impact
• Solve complex low-level engineering problems at the hardware boundary
• High ownership over performance-critical components
• Opportunity to push modern GPU systems to their limits

About the Role: We’re hiring a Middle QA Engineer to own quality across our mobility platforms. You’ll develop deep expertise in how dispatchers, drivers, and passengers actually use our products—then ensure every release works flawlessly.

What you’ll be testing:

• Web dashboards (React)
• Backend APIs (Go, via Postman)

This role sits at the intersection of product, engineering, and operations. You’ll map workflows, translate requirements into test strategies, build automation, and lay the foundation for a scalable QA function.
 

What You’ll Do:

• Master the domain — Understand mobility workflows end-to-end: reservations, dispatch, driver operations, passenger experience, billing
• Own product quality — Execute manual testing on UI, validate backend endpoints, test mobile apps across platforms
• Build automation — Develop and expand test coverage using Playwright or Cypress
• Drive processes — Manage defect tracking, create comprehensive test cases, establish repeatable QA standards
• Collaborate cross-functionally — Partner with product and engineering to identify gaps, prioritize fixes, ship with confidence
• Grow with us — Over time, take on QA leadership and implementation oversight
   

What You Bring Experience:

• 3+ years in manual testing with increasing responsibility—test strategy, test case creation, defect management, risk mitigation
• 2+ years automation experience (Playwright or Cypress preferred)
• 2+ years collaborating with engineering teams to drive quality improvements
• SaaS product experience required; logistics, transportation, or mobility domain is a plus

Technical Skills:

• Proficiency in HTML, CSS, JavaScript, Git
• API testing with Postman
• Issue tracking and test management tools (Linear or similar)
• Expertise across testing types: functional, backend/clear-box, integration, system, UAT
• Understanding of Agile, Waterfall, and hybrid methodologies
   

Mindset:

• You think in user journeys, not just test cases
• Proactive—you anticipate blockers before they escalate
• Strong documentation: identify root causes, explain them clearly
• Comfortable switching between manual testing and automation
• Curious about learning a specialized domain deeply

Languages:

• English — Upper-Intermediate (written and spoken)
• Russian — a plus (large part of team is Russian-speaking people from Latvia and Kazahstan)

We’re looking for a Platform Engineer to help build and scale secure, reliable, and production-ready infrastructure.

This role focuses on designing and operating Kubernetes-based environments, infrastructure as code, and internal platform systems that support engineering teams. You’ll work on real production workloads where reliability, scalability, and operational excellence matter.

If you enjoy building robust infrastructure, improving system reliability, and enabling teams through better platform tooling — this role is for you.

What You’ll Do

• Design, build, and operate scalable infrastructure and platform systems
• Manage and optimize Kubernetes-based environments
• Develop infrastructure as code using tools like Terraform
• Build and maintain CI/CD pipelines and deployment workflows
• Improve observability, monitoring, and system reliability
• Support secure and resilient environments, including restricted or isolated deployments when needed
• Collaborate with engineering teams on platform architecture and production workflows
• Troubleshoot infrastructure issues and improve performance, scalability, and maintainability
• Contribute to internal tooling and engineering enablement

What We’re Looking For

• 3+ years of experience in Platform Engineering, DevOps, SRE, or infrastructure roles
• Strong hands-on experience with Kubernetes and Terraform
• Experience building and maintaining CI/CD pipelines
• Solid understanding of observability and monitoring systems
• Experience with infrastructure as code and containerized environments
• Familiarity with Docker and Kubernetes-native architectures
• Proficiency in at least one programming or scripting language (Go, Python, or similar)
• Strong understanding of production systems, reliability, and security best practices

Nice to Have

• Experience with secure, air-gapped, or isolated deployment environments
• Familiarity with tools like GitLab CI, Prometheus, Grafana, or Keycloak
• Experience with backend systems (e.g., gRPC services)
• Exposure to ML infrastructure or distributed systems
• Strong backend engineering background

Why This Role

• Work on production-grade infrastructure and real-world systems
• High ownership over platform architecture and reliability
• Opportunity to build scalable systems used by engineering teams
• Collaborative and fast-paced environment

Role Overview:

The Tech Lead is the most senior operational role on the support team and the primary point of escalation for all critical incidents. This is a hands-on role combining direct technical work with team coordination. The Tech Lead triages, assigns, and resolves the highest-complexity issues while ensuring overall queue health and SLA compliance. The role carries 24/7 on-call responsibility for P1/P2 critical incidents in rotation with the counterpart Tech Lead in the other timezone.

Responsibilities:

• Lead daily operations: ticket triage, assignment to L1/L2, escalation management
• Own P1/P2 critical incident response — acknowledge within 30 min, drive to resolution, conduct post-mortem
• Participate in Change Advisory Board (CAB), release planning, and post-deployment validation
• Conduct root cause analysis (RCA) for complex and recurring incidents
• Coordinate knowledge transfer from incumbent vendor, own team KB quality
• Perform code-level investigation and fix for highest-complexity issues
• Mentor Java+DevOps engineers and L1 support engineers
• Manage weekend release activities (several times per year)

Required Technical Skills:

• Java: SpringBoot, JBoss/WildFly, Java 6–17 — production debugging, log analysis, hotfix deployment
• Databases: Oracle 11g, MS SQL Server — query writing, execution plan analysis, stored procedures
• AWS: Lambda, RDS, DMS, S3, DynamoDB, Kinesis, CloudWatch, CloudTrail — incident investigation and configuration
• DevOps: GitLab CI/CD, Docker, Kubernetes — pipeline monitoring, deployment management
• Observability: Datadog — dashboards, alert configuration, log correlation
• ITSM: ServiceNow — incident, problem, and change management workflows
• OS: Linux — log analysis, service management, shell scripting

Experience:

5+ years in application support or software engineering with support responsibility. Prior experience as a tech lead or senior engineer in managed services is preferred.

On-Call Requirements:

• Covers P1 (Critical) and P2 (Serious) incidents outside business hours, including nights and weekends
• Rotation shared between Ukraine and Argentina Tech Leads — approximately every other week per person
• Required response: acknowledge within 30 minutes, active engagement within 1 hour
• Incidents outside business hours are infrequent (historical avg: ~2 P1/P2 per month) but contractually binding
• On-call compensation applies per company policy

Language:

• English — required (all tickets, escalations, client communication)
• Ukrainian (Ukraine position) or Spanish (Argentina position)

Technical Requirements:

• Platform & Infrastructure GCP, Terraform (IaC), Kubernetes, Service Mesh (Istio / Linkerd), Linux distributed systems at scale
• GitOps & CI/CD ArgoCD, GitHub Actions, GitOps principles, Progressive delivery
• Language & Observability Go (Golang), Prometheus / Grafana, Distributed tracing, SQL / NoSQL at scale
• Competencies Cloud native mindset · Automate Everything · Speaks developers language · Fantastic communication · SLO / error quota ownership
• Nice to Have Helm, eBPF, Vault / Crossplane, OpsGenie / PagerDuty
   

Responsibilities:

-Eliminate toil through automation, re-architecting, and refactoring — not just patching symptoms.

-Approach every incident with an "Automate Everything" mindset so the same problem never fires twice.

-Pair with software engineers to troubleshoot and resolve production incidents down to root cause.

-Drive complex infrastructure changes with full transparency, clear communication, and zero downtime.

-Design and implement self-healing, reliable, and scalable infrastructure in a cloud- native environment.

-Guide and unblock developers across multiple teams so they can keep shipping with confidence.

-Define SLOs and error quotas for production services; own and manage the error budget.

-Own the GitOps workflow via ArgoCD — every deployment is Git-defined, automated, and reproducible.

-Write or review postmortems after incidents; track corrective actions to completion. Participate in the follow-the-sun on-call rota and actively champion our DevOps culture.
 

What does an average day look like?

You'll proactively support production workloads, troubleshoot issues to their root cause, and write or review postmortems once incidents are resolved. You'll continuously identify weaknesses in infrastructure and observability and feed them into the improvement backlog.

We’re looking for a Computer Vision Engineer focused on evaluation and data quality to help improve the performance of real-world CV systems.

This role is centered around working with visual datasets, analyzing model outputs, and identifying failure patterns. You won’t be training models end-to-end — instead, you’ll play a key role in improving model quality through better data, validation, and structured analysis.

If you enjoy working hands-on with images and video data, spotting edge cases, and making systems more accurate and reliable — this role is for you.

What You’ll Do

• Review, annotate, and validate image and video datasets used in CV workflows
• Perform detailed error analysis on model outputs to identify weaknesses and edge cases
• Support evaluation workflows for tasks such as object detection, classification, segmentation, and pose estimation
• Improve data quality through structured labeling, annotation review, and consistency checks
• Help define evaluation criteria, benchmarks, and test datasets
• Collaborate with ML and CV engineers to provide clear feedback on model behavior
• Document findings, patterns, and recommendations
• Contribute to improving data pipelines and evaluation processes

What We’re Looking For

• 2+ years of experience in Machine Learning or Computer Vision
• Strong understanding of CV fundamentals and evaluation metrics
• Hands-on experience with image/video datasets, annotation, or CV model evaluation
• Familiarity with tasks such as object detection, classification, segmentation, or pose estimation
• Ability to analyze visual outputs and perform structured error analysis
• Strong Python skills
• Experience with tools or frameworks such as OpenCV, PyTorch, or TensorFlow
• High attention to detail and comfort with quality-focused work

Nice to Have

• Experience with multimodal or vision-language models
• Familiarity with tools like Labelbox, Scale AI, CVAT, or Roboflow
• Background in data-centric AI, visual QA, or dataset auditing
• Experience with 3D vision, depth estimation, or point cloud data
• Kaggle or CV competition experience

Why This Role

• Work on real-world computer vision systems and improve their accuracy
• Direct impact on model performance through data and evaluation
• High ownership over dataset quality and evaluation processes
• Collaborative and fast-moving engineering environment

Responsibilities
 

• Act as the primary point of contact for all MongoDB-related topics, including reviewing and approving configuration and setup changes.
• Maintain and support MongoDB databases across both Atlas and on-prem environments.
• Maintain and support SQL Server and PostgreSQL databases in on-prem and AWS environments.
• Monitor database systems for health, performance, and availability.
• Advise software engineers on SQL query optimization and database schema design.
• Minimize database downtime and manage High Availability (HA) and Disaster Recovery (DR) strategies.
• Plan and contribute to long-term scalability and database architecture.
• Implement database changes, apply patches, and manage version upgrades.
• Assist with building and maintaining data extraction pipelines from MongoDB and SQL Server.
• Participate in the on-call rotation to support production systems.
   

Requirements

• 4+ years of combined experience across data platforms, including at least 2 years in a DBA role (MongoDB and relational databases, infrastructure, and application support).
• Hands-on data engineering experience (Airflow preferred).
• AWS experience (minimum 1 year).
• Advanced T-SQL development skills.
• Proficiency with Git and modern code management workflows.
• Strong understanding of backup, recovery, security, and data integrity principles.
• Excellent problem-solving skills with strong algorithmic thinking.
• Ability to work effectively in a fast-paced environment and meet deadlines.
• Fluent in English.

We are looking for a skilled FP&A Analyst to join our customers' team.

Key responsibilities

• Ensure data accuracy through validation processes and financial controls
• Manage and analyze usage-based and revenue-sharing (revshare) models
• Review and approve commercial agreements from a financial perspective
• Perform financial forecasting, budgeting, and variance analysis
• Deliver ad hoc analysis to support key business decisions

• Partner with cross-functional stakeholders to align financial insights with company strategy

   

Requirements

• 5+ years of FP&A experience, preferably in a global SaaS company
• Advanced Excel skills, including Power Query (mandatory)
• Advanced SQL (mandatory)
• Strong analytical mindset with exceptional attention to detail
• Proven ability to communicate insights clearly and partner with stakeholders
• Excellent English (written and verbal)

We are looking for an Affiliate Manager to own and scale our affiliate channel with a strong focus on traffic quality, fraud control, and performance analytics.

Core responsibilities

- Grow the affiliate channel for our subscription products (iOS, Android web)

- Maintain strong relationships with existing partners.

- Recruit and onboard new affiliates and networks (media buyers, arbitrage teams, content creators, referral partners).  

Performance & analytics

- Monitor traffic quality daily on the level of trials, subscriptions, refunds, and basic LTV.  

- Detect and prevent fraud and low‑quality traffic (incent/ motivated, fake trials, stolen cards, bot traffic) together with BI and product teams.  

- Analyze performance by partner, campaign, GEO, funnel, and creative; launch tests to improve ROI and LTV.  

- Prepare concise performance reports and input for monthly/quarterly planning for the affiliate channel.  

Offers, tracking & creatives

- Manage offers and terms: payouts, caps, GEOs, funnels, promo codes, and tests; ensure partners always have actual bids.  

- Own the basic rules for approving and rejecting conversions and communicate decisions transparently to partners.  

- Work with the creative team on briefs for new creative concepts based on partner feedback.  

- Collaborate with UA, product, and analytics teams to keep tracking links, postbacks, and event structure accurate for proper attribution and payouts.  

Requirements

• 2+ years of experience as an Affiliate Manager / Partnership Manager / Performance Marketing Manager
• Strong understanding of performance metrics (CTR, CR to trial, CR trial→paid, ARPU, ROI, LTV, refund rate) and how they translate into partner economics.
• Experience working with affiliate networks and direct affiliates; proven track record of growing revenue from this channel.
• Practical experience with anti‑fraud / quality control on CPA/CPS/CPI deals (e.g. validating conversions, holding/rejecting traffic, setting up rules).
• Solid skills in analytics tools (attribution platforms, BI dashboards, spreadsheets); ability to dig into cohort reports and event funnels.
• Comfortable working with tracking links, postbacks, macros, and basic troubleshooting of tracking issues.
• Strong communication and negotiation skills; ability to keep partners motivated while defending company margin and quality standards.
• Upper‑intermediate or higher English (written and spoken).

About the Role

We’re looking for a Machine Learning Engineer focused on evaluation and data quality to help improve the performance of modern ML and LLM systems.

This role is centered around understanding model behavior, identifying failure patterns, and building strong evaluation and feedback loops. You won’t be training models directly — instead, you’ll play a critical role in improving model outcomes through better data, analysis, and experimentation.

If you enjoy analytical problem-solving, working with real-world data, and making ML systems measurably better — this role is for you.

What You’ll Do

• Analyze and improve datasets used in ML and LLM workflows
• Perform detailed error analysis on model outputs (qualitative and quantitative)
• Design and implement evaluation frameworks, benchmarks, and quality checks
• Identify failure modes, data gaps, and improvement opportunities
• Support model experimentation with structured insights and feedback
• Collaborate closely with ML engineers and researchers to improve system performance
• Document evaluation methodologies, findings, and recommendations
• Help maintain high standards for data quality, consistency, and bias awareness

What We’re Looking For

• 5+ years of experience in Machine Learning or Applied ML roles
• Strong understanding of ML fundamentals and evaluation methodologies
• Hands-on experience working with real-world datasets for ML or LLM systems
• Strong Python skills
• Experience with data validation, evaluation pipelines, and error analysis
• Strong analytical thinking and attention to detail
• Ability to work independently and clearly communicate insights

Nice to Have

• Experience with LLMs, NLP, or generative AI systems
• Background in data annotation, QA, or evaluation-heavy ML environments
• Experience with experiment tracking, prompt evaluation, or benchmark design
• Exposure to bias analysis, robustness testing, or dataset auditing
• Research or competition-based ML background

Why This Role

• Work on cutting-edge ML and LLM systems
• Direct impact on model quality and real-world performance
• High ownership in shaping evaluation and data practices
• Collaborative, fast-moving engineering environment

Are you a Data Scientist with a love of LLMs, generative AI?

We are looking for a passionate Data Scientist to implement AI solutions aimed at achieving business goals.

This role offers the opportunity to work on cutting-edge AI adoption projects that helps to improve current business processes.

Skills requirements:
• Strong Python Experience (3 year +);
• Experience with LLM , Diffusion models;
• Knowledge of Prompt engineering;
• Experience with Gen AI-related technologies such as LangChain and RAG;
• Experience with Neural Networks (Optional) ;
• Experience with NLP , Predictive analytics and Machine learning;
• Experience with Pandas;
• Experience with SQL, including experience with large datasets;
• Strong experience in statistics;

Key responsibilities:
• Develop AI agents that utilize LLM, RAG and langchain approach;
• Implement LLM and Diffusion models to boost business productivity;
• Utilize LLM (LLM Vision) to improve object detection, text classification and extraction;
• Create forecasting, recommendation, and classification models;
• Transform business challenges to AI applications;

We offer:

• Great networking opportunities with international clients, challenging tasks;

• Building interesting projects from scratch using new technologies;

• Personal and professional development opportunities;

• Competitive salary nominated in USD;

• Paid vacation and sick leaves;

• Flexible work schedule;

• Friendly working environment with minimal hierarchy;

• Team building activities, corporate events.