Jobs

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

About the role: 
We are looking for a Full Stack Engineer to join the CTO Office and take ownership of our client’s product development lifecycle. You'll work hand-in-hand with the CTO Office team, taking initiatives that have been validated as POCs and leading them into production-grade, scalable solutions.

Responsibilities:
- Take validated POCs from the CTO Office and architect, build, and ship them as production-ready applications
- Design and develop full-stack solutions — modern frontends paired with robust, scalable backends
- Build and deploy within the AWS ecosystem (Lambda, ECS/EKS, DynamoDB, S3, RDS, API Gateway, CDK/CloudFormation, and more)
- Own the CI/CD pipeline — design, build, and maintain automated workflows using GitHub Actions
- Design and build internal agentic AI solutions using LangChain and LangGraph — from multi-step agent orchestration to RAG pipelines and tool-augmented workflows
- Leverage Agentic IDE tools (Cursor, Claude Code, and similar) as a core part of your development workflow, applying best practices around skills, MCPs, agents, and prompt engineering to accelerate delivery
- Collaborate closely with the CTO Office, product stakeholders, sales, and pre-sales teams to translate business needs into elegant technical solutions 
- Make pragmatic technology decisions that balance speed, quality, and maintainability

Requirements:
Must-Have:
- 5+ years of professional full-stack development experience
- Frontend: Strong proficiency with Vue.js or React (with modern tooling such as Nuxt/Next.js, TypeScript, Vite, Tailwind CSS)
- A builder's mindset — you thrive on taking something from prototype to production
- Understanding of system design principles — you can architect scalable, reliable distributed systems and make sound trade-offs
- Grasp of data structures and design patterns — to work alongside your Agentic IDE you write efficient, well-structured code
- Backend: Solid experience with Python and modern frameworks — primarily FastAPI, or Django/Flask
- Hands-on experience with the AWS cloud ecosystem — you've built and deployed real workloads on AWS
- Hands-on experience building agentic AI systems with LangChain and LangGraph — including multi-agent orchestration, tool use, and RAG patterns
- Proven experience designing and maintaining CI/CD pipelines with GitHub Actions including automated PR based Code Reviews.
- Working knowledge of Agentic IDEs and AI-assisted development (Cursor, Claude Code, Windsurf, or similar) — including familiarity with skills, MCP servers, agents, and AI-driven development best practices
- Strong understanding of RESTful API design, relational and NoSQL databases, and cloud-native architecture patterns

Nice-to-Have:
- Experience with Amazon Bedrock and/or Azure AI Foundry for building and deploying AI/ML solutions on managed cloud platforms
- Experience with Infrastructure as Code (AWS CDK, Terraform, CloudFormation)
- Experience in security infrastructure (IDP, authentication protocols - S) and writing secured applications 
- Security & Identity - understanding of application security, including SSL/TLS certificates, secret management, and identity providers (IDP). Experience implementing authentication and authorization protocols such as SAML, OAuth2, and JWT.
- Foundational SRE knowledge, including monitoring, logging, and observability (e.g., CloudWatch, Prometheus, ELK) to ensure production stability and performance.
- Familiarity with FinOps concepts, cloud cost management, or multi-cloud environments
- Experience building data-driven tools — predictive models, analytics dashboards, or recommendation engines
- Exposure to Azure services alongside AWS
- Experience with containerization and orchestration (Docker, Kubernetes)
- Background in B2B SaaS or enterprise software development

Are you the kind of person who instinctively tries to break things just to make them better? Do you enjoy uncovering hidden edge cases, questioning assumptions, and ensuring users get a seamless experience every time?
 

They are looking for a QA Engineer who thrives on exploratory testing, adversarial thinking, and delivering exceptional product quality. In this role, you’ll work closely with Product, Engineering, and Design teams to shape reliable, user-centric experiences across web and mobile platforms.
 

This is an opportunity to have a real impact - not just by finding bugs, but by influencing quality standards, improving testing processes, and helping teams ship with confidence.

 

What You’ll Do
 

• Design, maintain, and execute detailed manual test plans for new features and releases
• Dive deep into exploratory and adversarial testing to uncover edge cases, usability gaps, and unexpected behaviors
• Identify, document, prioritize, and track issues throughout the development lifecycle
• Investigate API logs and network traffic using tools like Charles Proxy, Fiddler, or Chrome DevTools to pinpoint front-end vs. back-end issues
• Validate complex user flows, backend data integrity, and database states
• Partner closely with developers to troubleshoot problems and verify fixes
• Clearly communicate testing progress, known risks, and release readiness across teams
• Ensure flawless functionality, UI/UX consistency, and responsiveness across web, iOS, and Android platforms
• Maintain clean and actionable bug reports and testing documentation
• Collaborate cross-functionally with Product, Design, and Engineering to continuously improve product quality
• Contribute to evolving QA practices, workflows, and testing standards
• Use AI-powered tools and workflows to improve testing efficiency, bug analysis, and quality processes
  
   

What They’re Looking For
 

• 4+ years of experience in manual QA or software testing
• Strong experience creating and executing comprehensive manual test plans
• A curious, detail-oriented mindset with a passion for finding issues before users do
• Solid understanding of web and mobile technologies, including:
  • HTTP
  • HTML
  • Client-server architecture
  • Caching
  • SQL & NoSQL databases
• Strong troubleshooting, bug tracking, and prioritization skills
• Experience validating APIs, backend flows, and complex data interactions
• Excellent communication and collaboration skills in cross-functional environments
• Comfortable working in fast-paced product and engineering teams
• Experience using AI tools to improve productivity, workflows, or testing efficiency
• Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience
   

Nice to Have

• Experience coding in Java, Python, or JavaScript
   

Why This Role Stands Out

You won’t just execute test cases - you’ll help shape product quality from the ground up. They value people who think critically, challenge assumptions, and bring a strong sense of ownership to the user experience. If you enjoy solving complex problems, collaborating with smart teams, and making products better every day, this could be the right fit for you.

Ever worked in an environment where engineers are expected to challenge bad code instead of silently accepting it?
Where spotting hidden bugs, architectural problems, and security risks matters more than shipping features fast?
Where your opinion is valued specifically because you can say: “this implementation is wrong and here’s why”?

If you’re confident reviewing unfamiliar systems, care deeply about engineering quality, and prefer direct technical communication over corporate politeness - this role is for you.

About the Company

Our client is a Switzerland-based trading technology company building a stock trading platform used for real-time trading operations and financial workflows.

The platform includes: real-time market data, order entry & order management, portfolio management, watchlists & alerts, trading dashboards, internal CRM systems.

The Role

We’re looking for a Senior Software Engineer focused on architecture review, code quality, reliability, and technical evaluation across multiple systems.

This is not primarily a feature-development role.

You’ll work with existing production systems, reviewing and evaluating code written in Python, TypeScript/React, and partially Rust-based environments.

What You’ll Do

Review & Evaluate Engineering Quality

• Analyze backend and frontend codebases critically
• Review architecture using Clean Code, SOLID, and DDD principles
• Detect technical debt and maintainability risks
• Evaluate pull requests and engineering decisions

Hunt Bugs & Reliability Problems

• Detect race conditions and async issues
• Identify off-by-one errors, null/None problems, and memory leaks
• Review concurrency behavior and hidden edge cases
• Identify production risks early

Improve System Performance

• Analyze scalability and Big-O complexity
• Detect N+1 queries and inefficient backend logic
• Identify unnecessary React re-renders
• Find bottlenecks affecting reliability or responsiveness

Review Security & Infrastructure Risks

• Evaluate systems against OWASP Top 10 risks
• Detect SQL injection vulnerabilities and secret leaks
• Review unsafe input handling and path traversal risks
• Evaluate dependency vulnerabilities (CVEs)
• Review Tauri IPC sandbox/security issues

Evaluate Testing Standards

• Review pytest, vitest, and cargo test implementations
• Identify weak coverage and missing edge cases
• Evaluate TDD quality and mocking approaches
• Detect gaps between “tests passing” and real reliability

Work Across Modern Tooling

• Use ruff, mypy, eslint, and clippy
• Review Git diffs and PR workflows
• Read and evaluate API integration code
• Detect misuse of OpenAI, Anthropic, or Gemini SDKs
• Review REST/WebSocket reliability patterns (retry logic, idempotency, etc.)

What You Bring

• Strong experience as a Senior or Staff-level Software Engineer
• Deep expertise in Python 3.11+
  • Typing
  • Async programming
  • Pydantic
• Strong TypeScript 5+ and React 19 experience
• Ability to read and evaluate Rust code (Tauri 2 ecosystem)
• Strong understanding of software architecture and engineering quality
• Experience reviewing unfamiliar codebases quickly
• Strong debugging and analytical skills
• Confidence giving direct, critical technical feedback
• Ability to prioritize issues by severity (Critical / Major / Minor)
• Upper-Intermediate English or higher
• German reading skills required (comments, commits, and technical discussions may partially be in German)

Nice to Have

• Experience reviewing ffmpeg or Pillow pipelines
• Familiarity with Vector DB or ONNX-related code patterns
• Experience in trading, fintech, or high-reliability systems

What You Get

• Engineering-First Environment: Work with teams that care about architecture, maintainability, and technical correctness - not just feature velocity.
• Real Technical Influence: Your feedback will directly impact engineering standards, code quality, and technical decisions.
• Complex Systems: Trading infrastructure, async workflows, performance-sensitive systems, and real-world scalability challenges.
• Direct Communication Culture: The company values honest technical feedback, critical thinking, and engineering maturity over hierarchy or corporate formalities.
• Strong Autonomy: No micromanagement. Engineers are trusted to make technical judgments and take ownership.

Ready to Work Where Code Quality Actually Matters?

If you enjoy analyzing complex systems, identifying critical issues before production does, and working in a direct, high-level engineering environment —

👉 Apply now and help improve systems built for reliability, performance, and scale.

About the client

Our client is a venture-backed AI-powered platform built specifically for consumer brands. It connects to sources like banks, POS systems, and advertising platforms to deliver daily profit & loss snapshots, cash flow plans, and peer benchmarking - all in real time. With integrations across finance, e‑commerce, and marketing tools, Iris provides the clarity and automation brands need to grow confidently 
 

What You’ll Do

• Design, implement, and maintain core backend services using JavaScript and Python.
• Build and manage reliable API endpoints, ensuring smooth data flow between internal systems.
• Write clean, well-tested code to process and transform financial data.
• Monitor service health, troubleshoot issues, and ensure system reliability and performance.
• Partner with product, data, and frontend teams to define integration requirements and API contracts.
• Create tools and dashboards to track system usage, performance, and data integrity.
• Review and improve code quality, and contribute to best practices in testing, documentation, and deployment.
   

What We’re Looking For

• 5+ years of professional experience in software engineering, focused on back-end, integration, or data engineering roles.
• Proficiency in JavaScript (Node.js, NestJS) and Python, with experience building RESTful APIs.
• Hands-on integration experience with external APIs (OAuth, pagination, webhook handling, rate limiting, retries, etc.).
• Strong data modeling skills — familiarity with JSON, SQL/NoSQL, schemas, data validation, and transformations.
• Experience with cloud infrastructure (AWS, GCP, or similar) and containerization (Docker, Kubernetes).
• Excellent debugging and monitoring practices: logging, metrics, tracing, and automated alerting.
• Strong communication & collaboration skills; ability to work with cross-functional teams.
• Bonus: Familiarity with financial systems (accounting platforms, bank APIs, POS systems) and ML-enhanced data pipelines.
   

What We Offer

• Competitive salary aligned with market standards, with annual salary reviews.
• A friendly, collaborative startup environment where you can drive impact in a mission-critical space for growing consumer brands.
• High-growth opportunity - join early and help shape a cutting-edge product used by high-velocity, finance-driven companies.
• Access to modern tech stack, including serverless/cloud-native solutions, event-driven pipelines, and experimentation with LLMs/AI for data validation.
• Generous time off, flexible work arrangements, and commitment to work-life balance.

About the role

We are building a revolutionary system at the frontier of technology and AI.

As a AI-native Engineer, you won’t just write code — you will shape the future of how apps are built. You’ll be part of the early execution engine—shipping core capabilities, refining the experience, and elevating reliability. Expect tight loops, clear ownership, and visible impact. You'll engage directly with first clients, adapt the platform to their needs, and set the stage for the next generation of software creation.

What we’re looking for

We want someone who doesn’t just “fit the role” but defines it:

• Open-minded explorer: ready to try bold ideas, new approaches, and cutting-edge tools.
• Hacker mindset & problem solver: able to connect the dots across complex systems and find elegant solutions.
• Analytical and resilient: thrives in debugging intricate, interconnected architectures.
• Startup speed enthusiast: comfortable hacking fast, shipping early, learning from feedback, and polishing later.
• Experienced in Cursor, Claude Code or other AI coding assistants.
• Passionate about AI-driven Engineering: turning AI into your engineering team-mate.
• Natural leader: with the drive to inspire and guide people.

Why join us?

• Be among the first engineers driving a bold, world-changing vision.
• Work at the bleeding edge of technology and AI, where experimentation is not just allowed but expected.
• Direct influence on product.
• A chance to build something that reshapes how things get done in today’s world.
• A team that values curiosity, creativity, and the pure joy of hacking together the future.

This isn’t just another job. This is your chance to engineer the future of software itself.

Technical stack 

!Prior experience with these technologies isn't mandatory, provided you demonstrate a strong willingness to learn and leverage AI tools. At the end of the day, we consider these to be just tools wielded by a SE.

Core technologies:

• TypeScript, React.js, Next.js, Bun.
• ClickHouse, PostgreSQL, Redis
• Docker / Kubernetes
• Kafka
• Supabase, Inngest, Posthog

Nice to have:

• Vue.js
• Python
• Go
• Ruby

Hiring Process

Stage 1: Interview with HR (1h).

Stage 2: Interview with VP of Engineering.

Stage 3: Tech. Interview

Stage 4: Interview with the team.

What we offer for your success

• Very warm and friendly working environment and flexible working schedule.
• 20 days off + paid national holidays, and 12 sick days paid by the company per year.
• Medical insurance, and health protection programs (with COVID-19 and dental coverage).
• Continuous professional development and growth opportunities.

Department: Data Platform
Reports to: Data Engineering Lead
Employment Type: Full Time
Work Model: Fully Remote
Location: Remote EMEA

 

About Traffic Label

Traffic Label is a fast-growing, data-driven technology company operating in the iGaming and affiliate marketing space, building scalable products focused on performance, analytics, and automation across global markets.

What we’re building
We’re building a Customer Data Platform: one unified player profile across our group of brands. The platform should help the business:

 

• Improve acquisition. Understand who actually converts, and why others don’
• Increase conversion. Replace generic flows with journeys built for the specific player in front of us.
• Segment players properly. Who’s a high-value player? Who’s at risk of leaving? Who’s a VIP?
• Reactivate before churn. Spot players who are about to leave and bring them back with offers that match what they actually want.

Tech stack:

• Snowflake (with Snowpipe and Cortex Analyst LLM agent).
• dbt, Python.
• Airflow (Astronomer), AWS (S3, Lambda), Terraform, GitHub Actions.
• Omni BI on top. Reverse ETL into marketing platforms.
• Medallion architecture: bronze, silver, gold.

We’re early in the build, and the person we hire helps shape the foundation.

Role Overview
You sit between the business (Product Owner, stakeholders) and the engineering team.
About 30% of your time is practical data work: validating that CDP capabilities behave as specified, exploring data before specs are written, testing hypotheses for new capabilities, building shared gold layer models that consumer teams use, and helping those teams understand what data is available. It is not business reporting or analytics built for individual brands.

The other 70% is Systems Analysis: turning what you find into specs engineers can build from, owning data quality from symptom to root cause, raising what isn’t right before it ships, and shaping the semantic layer so other business lines can find and trust the data.

Four things define the systems analysis side:

1. Turn business intent into specs that engineers can build from. Talk to stakeholders, figure out what they actually need, and write it down. Each spec covers source schema, target model, transformation logic, business glossary, schedule, data quality checks, consumer, and use case. Stay reachable through development. Engineers will have questions.
2. Find and fix data quality problems at the root, alongside the engineering function. Trace lineage, identify the cause, work with the data source owner on the fix, check downstream impact, and close the loop.
3. Confirm what’s delivered does what we said it would. Validate against the spec you wrote. When the data isn’t right, you raise it before it ships.
4. Make data usable beyond the team that asked for it. Contribute to the semantic layer, data descriptions, and shared definitions so other business lines can find what they need, understand what it means, and trust it without going through you each time.

You work on the Data Platform layer: CDP build, identity resolution, data quality, semantic definitions, and governance. Business analytics on top of the platform, such as dashboards and performance reports for specific brands, is produced by analyst teams aligned to those brands. Your job is to make sure those teams can do theirs: trustworthy data, clear definitions, fast issue resolution.

The team
You sit within the Data Platform alongside:

• A Product Owner who sets the roadmap and business priorities.
• The Data Engineering function. Your manager (Data Engineering Lead) and the engineers building the platform.
• Embedded QA function. Owns automated validation.
• Shared DevOps across the wider organisation.

Where you’ll start
Identity resolution. Deterministic matching is already running in our MDM across five data sources. You extend coverage to the remaining sources and validate match quality at scale. The harder cases are future scope: hashed identifiers without keys, duplicates across sources, device and behaviour signals. They start when we add dedicated ML engineering capacity, with no committed timeline yet. You’ll own the spec and acceptance for that work when it begins.

Skills & Experience

• SQL. Expert level. Window functions, complex joins, and root cause investigation on large datasets.
• dbt. Practical experience. You can write models, write tests, and debug them.
• Python. Comfortable for ad hoc analysis, scripting, and data manipulation.
• Confident across the modern data stack. You investigate problems yourself instead of waiting for DE, and you can explain the root cause to the business in plain language.
• Medallion or layered data architectures.
• You’ve written specifications that engineers built from.
• You’ve owned a data quality problem from “something looks off” to “fixed at source”.
• You can talk to business stakeholders and a backend engineer in the same hour without losing either of them.
• Background in iGaming, affiliate marketing, SaaS, or other high-volume digital businesses.
• Experience unifying customer or user profiles across sources, sometimes called Customer 360 or Single Customer View. Angles: identity matching, semantic modelling, etc.

What We Offer

• Opportunity to work on scalable, high-impact products in a growing iGaming business
• Collaborative and fast-paced engineering environment
• Exposure to modern technologies and architecture
• Competitive salary and performance-based incentives
• Flexible working environment and supportive team culture

We are a Ukrainian outsourcing company Join.To.IT, founded in 2012, and delivering software solutions across diverse business domains.
We focus on building long-term partnerships with our clients and delivering solutions that create real business impact. Our team consists of experienced professionals who take ownership of their work, value clear communication, and are committed to high standards in everything they do.
At Join.To.IT, we create an environment where engineers can grow, influence technical decisions, and contribute to meaningful projects alongside a strong and supportive team. 
     Responsibilities

• Manage the full sales cycle from lead generation to deal closure
• Work with Upwork as the main client acquisition channel
• Communicate with potential clients and conduct negotiations
• Prepare commercial proposals and participate in project estimations
• Collaborate with technical teams during pre-sales stages
• Build long-term relationships with clients and identify upsell opportunities

      Requirements

• Experience in IT sales / Business Development
• Strong experience working with Upwork
• Understanding of outsourcing/outstaffing business models
• Good communication and negotiation skills
• Ability to work with technical teams and understand project scope
• Upper-Intermediate+ English level
  We Offer
• Office-based work format (Kyiv, near Vasylkivska metro station with shelter, Starlink and uninterrupted power supply)
• Free gym access near the office
• Paid vacation and sick leave
• Medical Insurance
• Compensation for professional courses and development
• Supportive and loyal management

We are looking for a Machine Learning Engineer to design and implement intelligent systems that power personalized digital experiences across connected devices and mobile applications.

This role is ideal for someone who thrives at the intersection of ML models, data pipelines, and product integration. You will collaborate closely with backend engineers, data scientists, and product managers to bring ML-driven features into production and continuously optimize them based on real-world usage.

Responsibilities:

• Design, train, and deploy machine learning models for use cases such as personalization, recommendations, and visual analysis;
• Build and maintain scalable, production-grade data pipelines (batch and real-time);
• Collaborate with product and engineering teams to translate product ideas into ML-powered features;
• Implement model observability, monitoring, and retraining workflows;
• Optimize inference performance and model serving in resource-constrained environments (e.g., edge or mobile);
• Contribute to the architecture of a modern ML platform within a cloud-native microservices environment;

• Work with backend teams to expose model outputs via APIs and integrate them into customer-facing experiences.

   

Requirements:

• 3+ years of experience in applied machine learning or data science;
• Strong knowledge of:
  • Supervised learning, recommendation systems, or computer vision;
  • Python and ML libraries such as TensorFlow, PyTorch, scikit-learn;
  • Building, deploying, and maintaining ML models in production.
• Familiarity with:
  • MLOps tools (e.g., MLflow, TFX, Airflow, Vertex AI);
  • Data pipelines and messaging systems (e.g., Kafka, BigQuery, dbt);
  • Model serving frameworks (e.g., FastAPI, TensorFlow Serving, TorchServe, ONNX);
• Comfortable collaborating with product, engineering, and analytics teams;
• Experience with cloud platforms (GCP, AWS, or Azure) and container-based deployments;
• Bonus: Experience with edge AI, mobile ML, or video/image processing pipelines.

We Offer:

• Remote work and flexible working hours.
• Legal support.
• Paid sick leaves.
• Paid vacations.
• Medical insurance. 
• Free English classes.

Ajax Systems is an international technology company, the largest developer and manufacturer of security systems in Europe. Ajax security systems protect more than 4.5 million users in 180 countries. The company works with 150,000 installers in key markets.

Ajax Systems has a central office, an R&D department, and two full-cycle productions in Ukraine; the representative offices in the UAE (Dubai), Great Britain, Italy, Spain, and teams in many other regions; and a logistics hub in Poland.

Ajax products are a whole ecosystem of 280 devices, mobile and desktop apps, and server infrastructure.

The product line includes control panels, motion detectors, opening detectors, flood prevention, fire detectors, street and home sirens, alarm buttons with the appliances control function, smart sockets, and relays.

Our infrastructure is a part of the product that is invisible to the end user, but critical to the life of the entire system. The safety of our users and their property depends on our uptime. We are constantly developing our cloud solutions and this requires automating our infrastructure, testing and improving its fault tolerance.

We are looking for a DevOps Team Lead to join our Platform Team and help us scale, secure, and improve our cloud infrastructure. This role combines hands-on technical ownership with team leadership: you will guide DevOps engineers, define platform priorities, improve reliability, and collaborate closely with product and engineering teams.

Requirements:

• 5+ years of experience in DevOps, Platform Engineering, SRE, or Cloud Engineering, including 2+ years in a lead or senior ownership role.
• Strong hands-on experience with Kubernetes, preferably AWS EKS, including cluster operations, networking, autoscaling, workload reliability, and security best practices.
• Solid AWS experience: VPC, IAM, EC2, RDS, ElastiCache, Route 53, Lambda, Load Balancers, CloudFront/S3 etc.
• Experience with Infrastructure as Code and configuration management tools, especially Terraform/Terragrunt.
• Experience with GitOps-based delivery using Argo CD or Flux, and Helm/Kustomize for Kubernetes application management.
• Strong Linux and TCP/IP networking knowledge, including troubleshooting production systems.
• Experience with secrets management, access control, and credential rotation practices.
• Strong observability background: metrics, logs, alerts, SLOs, incident investigation, and tools such as Datadog, Grafana, VictoriaMetrics, ELK, or Opsgenie.
• Ability to lead technical discussions, explain trade-offs, set priorities, and drive decisions across engineering teams.

• Strong communication, ownership, task management, and mentoring skills.

   

Desirable:

• Experience with advanced Kubernetes tooling: Karpenter, KEDA, Envoy, Istio/Linkerd or similar.
• Experience with streaming platforms such as NATS or Kafka.
• Operational experience with databases such as MongoDB, MySQL, PostgreSQL, or managed cloud database services.
• Experience with compliance frameworks such as SOC 2.
• Background in FinOps, cloud cost optimization, and infrastructure efficiency improvements.

• Experience with disaster recovery planning, backup strategies, incident response, or production fire drills.

   

Responsibilities:

• Lead, mentor, and grow the DevOps/Platform team: set technical priorities, support hiring, provide feedback, and foster a culture of ownership and engineering excellence.
• Own and evolve the Kubernetes platform: cluster architecture, deployment standards, autoscaling, reliability, security practices, and developer experience.
• Improve CI/CD and GitOps workflows to make deployments safer, more repeatable, and easier for engineering teams.
• Collaborate with engineering, product, security, and operations teams to align infrastructure improvements with business and product needs.
• Identify and remove bottlenecks in the software delivery lifecycle, platform operations, and production support processes.
• Strengthen platform security: access management, secrets management, network controls, compliance requirements, and secure-by-default practices.
• Build and improve proactive observability: monitoring, alerting, dashboards, incident response processes, and post-incident improvements.
• Drive cloud cost optimization initiatives and provide practical recommendations for more efficient infrastructure usage.

• Participate in production support and on-call processes for critical incidents, while continuously improving reliability and reducing operational toil.

   

With us you will enjoy:

• Working with a team of people to build the future of an industry.
• Non-trivial challenges and various spectre of interesting tasks.
• A flexible, friendly and collaborative work environment.
• Corporate culture based on common sense.
• Opportunities to influence the creation of new products and their quality.

We are working to ensure that people’s lives are calm and the world safe.

Let’s become a part of the team that creates a smart and useful global product!

ABOUT THE ROLE
We are looking for a Technical Application Support Engineer to provide backup coverage for our platform and related audience workflows. This is NOT a primary feature development role. 

The person will act as a technical backup and first responder when the Europe-based team is unavailable, helping India and US teams investigate issues, validate system behavior, check logs, inspect API/database state, and escalate with clear technical context when deeper engineering work is required.

Time Overlap (!): 5:00 AM to 2:00 PM or 4:00 AM to 1:00 PM EST

Platform stack:
Scala Pekko HTTP Kafka Pekko Streams MongoDB PostgreSQL, Facebook/Meta, LinkedIn Google Ads Microsoft/Bing Ads, Reddit Pinterest TikTok Twitter/X

RESPONSIBILITIES
• Provide backup technical support for internal API and related workflows
• Investigate production and staging issues using API responses, logs, metrics, Kafka state, MongoDB, and PostgreSQL
• Understand and trace the core system flow related to external platform integrations
• Investigate why entities failed to create/update, synchronize, or retrieve reports correctly
• Troubleshoot platform-specific issues (Facebook/Meta, LinkedIn, etc.)
• Validate common token/auth issues including expired user tokens, missing permissions, and platform account
mapping problems
• Use Kibana, Grafana, Prometheus, Graphite, Kafka metrics, and database queries to support investigations
• Follow runbooks for safe operational checks and simple remediation steps
• Document findings clearly and escalate with enough context for engineering teams to act quickly
• Work closely with teams in India, Europe, and the US

REQUIRED QUALIFICATIONS
• 3+ years in application support, production support, technical operations, backend QA, SRE-lite, or similar roles
• Strong understanding of REST APIs, JSON, HTTP status codes, and backend request flows
• Hands-on experience reading logs and investigating production issues
• Practical experience with MongoDB and SQL/PostgreSQL for read-only investigation
• Basic working knowledge of Kafka or event-driven systems
• Familiarity with Kubernetes-based applications at support level
• Ability to use dashboards and observability tools such as Kibana, Grafana, Prometheus, or similar
• Strong troubleshooting mindset with clear written communication in English
• Ability to work with distributed teams across India, Europe, and the US

PREFERRED QUALIFICATIONS
◆ Experience supporting Scala, Java, or JVM backend systems
◆ Familiarity with Apache Pekko or Akka HTTP / Streams

◆ Experience with advertising platforms or marketing APIs
◆ Familiarity with OAuth, refresh tokens, access tokens, system users, and platform permissions
◆ Basic understanding of CI/CD, Jenkins, GitHub Actions, Docker, and Kubernetes deployments
◆ Experience creating support runbooks and incident summaries

WHAT SUCCESS LOOKS LIKE
After onboarding, this person should be able to:
• Understand the platform request/event flow end-to-end
• Check whether a problem is in API validation, Kafka processing, event handling, MongoDB/PostgreSQL state, external
platform API, or something else
• Identify common platform integration differences
• Answer basic "what happened?" questions without waking up the European owner
• Escalate only when deeper engineering changes or platform-specific decisions are needed
• Maintain useful troubleshooting documentation for repeated issues

ABOUT PROJECT

We are a leading technology company that uses real-world data in real-time to optimize campaign performance and revolutionize health decision-making. Leveraging proprietary datasets and methodology, we target healthcare professionals and patients with an unprecedented level of accuracy—delivering unparalleled results to the clients we serve.

Role Overview

We are seeking a high-caliber Senior RF Systems Engineer to lead the development of next-generation situational awareness and electronic warfare (EW) platforms. You will be responsible for the full lifecycle of RF subsystems, from initial research (TRL 1) to field-tested operational prototypes (TRL 7+). Your work will directly impact projects such as autonomous drone detection, FHSS signal classification, and distributed SIGINT mesh networks.

Key Responsibilities

RF Design & Integration

• Design and optimize RF front-ends for unmanned aerial systems (UAVs) and ground-based detection stations.
• Develop hardware and firmware for high-speed FHSS (Frequency Hopping Spread Spectrum) detection and mitigation.
• Architect and implement Mesh Networking protocols for distributed sensor arrays (e.g., FPV-borne SIGINT mesh).

Signal Intelligence (SIGINT) & Electronic Warfare

• Develop algorithms for passive RF geolocation and signal classification.
• Engineer solutions for Drone Detection, focusing on identifying digital and analogue transmitting signatures even under heavy jamming.
• Design and test spoofing detection systems for Galileo and GPS navigation.

Field Validation & Testing

• Lead field testing of RF prototypes in relevant operational environments to validate TRL exit criteria.
• Analyze battlefield RF signatures to refine "kill zones" and improve EW training simulators.
• Collaborate with the software team to integrate RF data into C2 (Command and Control) dashboards.

Technical Requirements

SDR Mastery

Expert proficiency with Software Defined Radio platforms (HackRF, BladeRF, Ettus USRP) and GNU Radio.

Signal Processing

Deep understanding of digital modulation (OFDM, FSK), FFT analysis, and hopping pattern reconstruction.

Hardware

Experience with PCB layout for RF applications (up to 6GHz), antenna design, and impedance matching.

Frequency Bands

Experience working across 300–600 MHz (FHSS), 2.4 GHz, and 5.8 GHz bands.

Tools

Proficiency in MATLAB/Simulink, Python, or C++ for real-time signal analysis.

• Proven experience with SAW (Surface Acoustic Wave) filters and LNA (Low-Noise Amplifier) design/integration.

Preferred Qualifications

• Knowledge of FPGA development for low-latency signal processing (Verilog/VHDL).
• Background in military-grade communication protocols and LPI/LPD (Low Probability of Intercept/Detection) systems.

Logistics & Impact

• Location: Kyiv (Hybrid/Field testing required).

🧩 About the company
We turn marketing into a powerful tool that helps businesses win in their market. We built a new type of platform: a marketplace for future customers. On our site, businesses buy leads the same way they buy products in an online store. They can see key details about each lead before they pay, which gives them clear information, control over what they buy, and more predictable results. We are the top lead marketplace in the USA, and we are growing fast.

🧩 Role overview
We are looking for a cold call team director to spin up a call center that will be used to supplement existing volume of call leads we get from vendors, help us closer understand issues our vendors go through, and obtain leads in historically more difficult regions than our call providers have been supplying us with.

🧩 What You’ll Be Doing:

• Build the cold calling operation from scratch, including structure, hiring plan, and processes
• Hire, train, and manage callers, team leads, and QA as the team scales from 2–3 to 30–50+ people
• Design and optimize dialing strategy, number rotation, warm-up, and deliverability to maintain high connect rates
• Set up and improve lead qualification standards to ensure every lead is marketplace-ready and compliant
• Monitor performance metrics (connect rate, leads per caller, rejection rate, cost per lead) and act on them daily
• Work closely with product, data, and engineering teams to integrate dialer, CRM, and lead pipelines
• Run real-time coaching and performance management during US calling hours to improve team output and quality

🧩 What Makes You a Strong Fit:

• 5+ years of hands-on experience in cold calling operations, preferably in real estate wholesaling
• Proven track record building or scaling outbound calling teams (10–50+ callers) from scratch
• Deep understanding of dialing systems, number reputation, spam flagging, and call deliverability
• Experience working with CRMs and dialers such as ReadyMode, Podio, GoHighLevel, or similar
• Strong analytical mindset - comfortable managing performance through metrics and making fast decisions
• Ability to personally execute (set up campaigns, run calls, debug issues) - not just manage
• Advanced English (daily communication with US-based teams, reporting to leadership, live coaching)
• Availability to work overlapping US business hours and manage operations in real time

🧩 Bonus if you have:

• Experience in US real estate wholesaling or motivated seller lead generation
• Experience managing offshore teams (Philippines, Egypt, Pakistan, Latin America)
• Familiarity with TCPA compliance and state-level calling regulations
• Background in list stacking, data sourcing, and lead generation strategy
• Russian or Ukrainian language skills

We are seeking a hands-on Tech Lead / Solution Architect to shape and scale our next-generation iGaming platform. This role blends deep technical expertise, architectural design, and leadership skills to ensure our systems meet the demands of high-volume, real-time, and regulated environments.

Requirements:

• Proven experience in building Monolithic, Microservices, and Event-driven architectures, including decomposition of legacy systems into scalable microservices.
• Designing and implementing high availability (HA), fault-tolerant, and load-balanced solutions for large-scale, high-traffic applications.
• Orchestration Engines: Hands-on experience with workflow orchestration platforms (e.g., Camunda, Temporal) for process automation and distributed workflows.
• Strong expertise in designing scalable database schemas and managing both relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) systems with focus on performance optimization and horizontal scaling, Rabbit, Kafka.
• Knowledge of VMware-based infrastructure as well as modern container orchestration platforms (Docker, Kubernetes). Nice to have: Apache Spark, Hadoop.
• Building robust CI/CD pipelines using GitLab CI/CD, enabling continuous delivery and deployment across complex environments.
• Practical development skills in PHP (Laravel, Laravel Octane), Node.js, JavaScript, Next.js, React. 
• Setup and integration of monitoring/alerting systems (Prometheus, Grafana, Kibana, ELK Stack, Sentry) for proactive issue detection and performance analysis.
• Deep understanding of automation-first approaches, infrastructure as code, and collaboration between development and operations.
• Proven ability to lead teams, mentor engineers, and align technical decisions with business goals. Skilled at translating business requirements into efficient technical solutions.
• Experience in using AI technologies

Nice to Have:

• Experience analyzing technical risks and defining mitigation strategies.
• Expertise in building PoC (Proof of Concept) and MVP (Minimum Viable Product) to validate business ideas quickly.
• Familiarity with architectural modeling tools (Lucidchart, Draw.io, C4 Model).
• Experience in multi-region deployments and scaling distributed systems across hybrid environments (cloud + on-premise VMware setups).
• Background in designing mission-critical financial, e-commerce, or enterprise-grade systems with strict SLAs and compliance requirements.

Responsibilities:

• Evaluation and clarification of incoming functional business requirements from customers and business analytics in specification format;
• Creation of technical specifications following functional business requirements;
• Building of services and infrastructure architecture according to technical specifications;
• Control of compliance of new solutions to the general architecture;
• Technical risks evaluation for services performance and infrastructure, and potential solutions development for mitigation;
• Services and infrastructure evolving and optimization;
• Performance, security, and stress testing planning and supervision found vulnerabilities and issues resolving;
• Architecture and technical solutions presentation and discussion with technical Leads and members;
• Supervision of technical solutions compliance to project requirements;
• Maintenance of technical documentation and development regulations;
• Requirements analysis, technical design, scope decomposition, and estimation with the technical teams;
• New projects and services of the company evaluation for compliance with the existing regulations and methodologies;
• Mentor development team members and Senior technical staff in the architecture area;
• Establishment and development of new technological practices for the company.

What we offer:

• Competitive salary;
• Remote work in a flexible environment;
• 20 working days of paid vacation and education projects;
• Great product with our software solution;
• Opportunity for growth at professional levels, attending top industry events and conferences, and international workshops at our competence centers.

Don’t delay! Send your CV right now and join our highly professional and ambitious team!

Location: Romania

🌍Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.

🧩About the Product:

Our client is developing a cutting-edge cybersecurity analytics platform designed to give enterprises a comprehensive understanding of their digital environments and security posture. The system continuously aggregates and correlates large-scale data from multiple sources, applies graph-based modeling and AI-driven analytics, and delivers real-time insights that help organizations prioritize and remediate high-impact risks. 

🌟About the Role:

This is a hands-on Senior Backend Engineer role in the central platform team, focused on developing and scaling the core services behind a cybersecurity platform. The role involves designing and maintaining APIs, building reliable backend systems, and contributing to AI-driven features used in production. In collaboration with cross-functional teams, you’ll help shape system architecture, improve performance and observability, and ensure the platform remains stable and scalable. The work has a direct impact on product capabilities, integrations, and the overall user experience.

📈Key Responsibilities:

• Develop and maintain backend services powering the platform (primarily Python/FastAPI-based microservices)
• Design, build, and evolve APIs used across internal services and external integrations
• Ensure API reliability, scalability, and clear communication between distributed services
• Contribute to building scalable and reliable distributed systems (messaging, data flow, service communication)
• Participate in development of AI-powered features (LLM integrations, prompt-based workflows)
• Improve system quality: testing, observability, performance, and reliability
• Collaborate with other teams when working across multiple services and repositories
• Use modern development tools, including AI-assisted coding, to improve productivity and code quality
• Take ownership of tasks and proactively drive them to completion

💻Required Competence and Skills:

• 5+ years of backend development experience with Python
• Strong hands-on experience with FastAPI
• Solid understanding of distributed systems and microservices architecture
• Experience working with APIs (design, integration, service-to-service communication)
• Experience with async messaging systems (e.g., RabbitMQ, SQS, SNS or similar)
• Hands-on experience with AWS, including building and running cloud-based services using managed components
• Experience working with Docker / containerized environments
• Experience working with AI tools and coding agents (e.g., Claude or similar) in daily development workflows
• Strong ownership mindset and ability to work independently
• Excellent English and communication skills

➕Nice to Have:

• Experience building LLM-based features (Bedrock, OpenAI, Anthropic, etc.)
• Experience with Kubernetes and CI/CD pipelines
• Familiarity with data platforms (Databricks, Spark)
• Background in cybersecurity domain

🚀Why Us:

We provide 20 days of vacation leave per calendar year (plus official national holidays of a country you are based in).

We provide full accounting and legal support in all countries we operate.

We utilize a fully remote work model with a powerful workstation and co-working space in case you need it.

We offer a highly competitive package with yearly performance and compensation reviews.

On behalf of our Client from the Caribbean region, Mobilunity is looking for an Entra Identity Engineer.
 

Our Client is the largest bank in the Caribbean region that serves 14 countries/territories. The aim is to transform this organization from a traditional bank into a new era of fintech, leveraging the cutting-edge of current fintech offerings.

The Entra Identity Engineer implements, configures, and operates Microsoft Entra ID capabilities for workforce, privileged, application, and hybrid identity scenarios. This is a hands-on engineering role focused on secure, resilient identity operations and integration with cloud and on-prem systems.

Responsibilities:

• Implement and manage Microsoft Entra ID tenants, users, groups, roles, and directory settings
• Configure MFA, Conditional Access, Identity Protection, and RBAC policies with least-privilege and break-glass controls
• Integrate Entra ID with on-prem directories for hybrid identity (Azure AD Connect / Cloud Sync), including sync rules and writeback
• Secure service principals, managed identities, and app registrations (certificates/secrets governance, permissions consent, token lifetimes)
• Support identity components for cloud migrations and modern authentication (deprecate legacy auth, enable device compliance and SSO)
• Troubleshoot authentication, authorization, and token-related issues across apps, devices, and protocols
• Enable and support identity requirements for cloud platforms and applications (Azure, M365, SaaS, custom apps, APIs)
• Automate routine operations with PowerShell and/or GitHub Actions/Azure Automation (policy deployment, user lifecycle, access reviews)
• Implement monitoring, alerting, and incident response using Entra logs, sign-in risk, audit trails, and SIEM integrations
• Partner with security, compliance, and application teams to meet regulatory and audit requirements.

Requirements:

• Microsoft Entra ID (Azure AD) administration and troubleshooting across tenants and enterprise-scale environments
• Conditional Access, MFA, Identity Protection policy design, testing, and safe rollout strategies
• Hybrid identity patterns and tooling (Azure AD Connect / Cloud Sync, Pass-through Authentication, Seamless SSO)
• OAuth2 / OIDC token handling and claims mapping; understanding scopes, consent, and grant types
• PowerShell & automation for identity operations (MSOnline/AzureAD/Microsoft Graph modules)
• Monitoring and log analysis for identity events (sign-ins, audit, risky users/sessions, service principals)
• Privileged Identity Management (PIM) configuration, approval workflows, just-in-time access, and access reviews
• Solid understanding of RBAC, directory roles, admin unit scoping, and least-privilege design
• Working knowledge of device-based access (Intune compliance, device registration/Join, FIDO2/Windows Hello for Business)
• Microsoft Certified: Identity and Access Administrator Associate
• Microsoft Entra ID security and governance training
• Azure security fundamentals (e.g., network basics, Key Vault, Defender for Cloud)
• PowerShell automation training and scripting best practices
• Basic OAuth/OIDC protocol training and token troubleshooting

 Experience required:

• 4–7 years in identity or cloud engineering roles
• Hands-on experience with Entra ID in enterprise or regulated environments
• Experience supporting MFA rollouts and secure application access at scale
• Exposure to cloud migration or hybrid identity deployments
• Operational experience supporting identity platforms in production with on-call participation

Success Measure:

• Reduction in risky sign-ins and identity-related incidents
• On-time, low-friction rollout of Conditional Access and MFA policies
• Mean time to resolution (MTTR) for identity incidents consistently trending down
• Automation coverage for routine identity tasks and policy deployments
• Positive audit outcomes for identity controls and privileged access

In return, we offer:

• The friendliest community of like-minded IT people
• Open knowledge-sharing environment – exclusive access to a rich pool of colleagues willing to share their endless insights into the broadest variety of modern technologies
• Mobilunity Medical Insurance program is designed to meet our team’s needs
• Paid vacations and sick leaves, including 5 paid days per year that don’t require a sick note
• Perfect office location in the city center (900m from Lukyanivska metro station with a green and spacious neighborhood) or remote mode engagement: you can choose a convenient one for you, with a possibility to fit together both
• No open-spaces setup – separate rooms for every team’s comfort, and multiple lounge and gaming zones
• English classes in 1-to-1 & group modes with elements of gamification

• Neverending fun: sports events, tournaments, music band, multiple affinity groups

   

Come on board, and let’s grow together!