Jobs at Djinni

Project description

We are building the platform, which supports various information gathering and processing across the bank. The PMC application, Price Master Central (PMC) is a global reference data management application - responsible for sourcing securities/Pricing data from market vendors and internal sources and providing it to downstream clients after applying client specific rules.

Responsibilities

- Manage a team 

- Intensive communication with project stakeholders and other teams 

- Evaluate and adopt new development tools, libraries and approaches to improve delivery quality 

- Continuous quality improvement (code reviews, fixing Sonar issues, unit/integration/E2E test coverage) 

- Integrate our components with different internal and external client's systems 

- Configure, monitor, and troubleshoot Application servers 

- Monitor applications, processes, scheduled jobs, collect different types of logs and metrics 

- Setup and improve CI/CD 

- Automate routine with scripting languages 

- Write all types of tests: unit, integration, end-to-end 

- Design distributed applications

Skills

Must have

- Technically strong energetic individual, who can bring innovation to the group 

- Team lead experience from 3 years, IT experience from 7 years 

- Java (Core, JDBC, MT, Collections, I/O), Spring Boot 

- SQL.PL-SQL on Oracle DB 

- Container platform based on Kubernetes 

- REST web services, Kafka, Redis 

- Unix Commands and shell scripting. 

- Familiarity with standard data structures and algorithms. 

- Experience using the following tools 

- JIRA, Harness/uDeploy, SonarQube, TeamCity, Artifactory, Git (GHE & Bitbucket) 

- Logical thinking, strong analytical and problem-solving skills; innovate and solutions oriented 

- Effective time management skills to manage multiple priorities with flexibility on time zones and timelines 

- Excellent verbal and written communication skills 

- Bachelor's degree in computer science or equivalent work experience

Nice to have

- Master's degree in computer science or equivalent work experience 

- Experience working with the Scrum methodology 

- Experience working with a NoSQL database 

- Experience designing and implementing microservices 

- Financial services technology experience preferably in reference data

We are looking for an Embedded Engineer to join a non-commercial, EU-funded research project focused on developing drone and robotic systems for reconnaissance and demining operations at sea.
This is a full-time role in Romania or Germany (with possible business trips to other cities and training grounds). The project duration is 2 years, with extensive opportunities for hands-on prototyping, field testing, and real-world deployment.

This role will suit enthusiastic engineers — not necessarily Senior-level — who are eager to learn, experiment, and take part in both software/hardware development and practical assembly & field testing of drones. Final-year university students with relevant experience are also welcome to apply.

Requirements

• Experience in developing drone systems and robotic platforms from concept to implementation
• Knowledge of UAV/USV hardware, sensors, autopilot missions, and control algorithms (e.g., MAVLink, Ardupilot)
• Skills in prototyping and electronics troubleshooting, with the ability to solve problems on-site
• Understanding of wireless communication protocols and network solutions
• Technical leadership experience and teamwork skills
• Collaboration and communication with project stakeholders
• Attention to detail, practical approach, and focus on reliable results
• Understanding of AI/ML principles for perception and decision-making solutions
• Familiarity with navigation principles (GNSS, ToF, etc.)
• Fluent in Ukrainian (spoken and written)

Responsibilities

• Develop software and hardware for UAV/USV systems from concept to working prototypes
• Assemble and test drones, participate in field training at test sites and military polygons
• Ensure perimeter demining and reconnaissance support using AI and drone technologies
• Troubleshoot and prototype electronics, ensuring robustness of systems in real-world conditions
• Collaborate with project beneficiaries and research partners
• Contribute to knowledge-sharing and support within the engineering team

We respect your time and keep our process clear and human. From the first “hello” to the offer usually takes up to 2 weeks:

• A short recruiting call (30 min) 
• A technical conversation with our experts (1 hour) 
• Client interview (if needed, up to 1 hour) 
• Reference check 
• Offer and welcome on board 

* Please note that the process may occasionally vary depending on the role or specific project needs.

Why join altamira.ai

• You get fair, competitive pay and real opportunities to grow. 
• Fully remote - no commuting, no office constraints.
• We don’t do micromanagement - we do trust, ownership, and support. 
• We provide all the tech equipment you need. 
• 20 working days of paid vacation, paid sick leave, public holidays, and regular salary reviews. 
• A flexible schedule to keep your work-life balance sane. 
• Space to learn, experiment, and bring your ideas to life. 

We do believe that the success of altamira.ai is impossible without the success of our Talents and the success of our Clients! ❤️

About the Role: 

OptiPlay is expanding. We are launching a dedicated sub-studio (our second game development squad) and are looking for a strong Game Producer to take full ownership of its pipeline and product vision.

Key Responsibilities:

• End-to-End Ownership: Drive the entire slot development process for the sub-studio—from initial concept and documentation (GDD) to certification, launch, and live-ops;
• Team Building: Hire and lead your dedicated creative unit, including Artists, 2D/Spine Animators, and Game Designers;
• Cross-Functional Collaboration: Effectively manage workflows with resources (Math designers, Developers, and QA) to ensure seamless delivery without bottlenecks;
• Roadmap & Strategy: Define and prioritize your studio’s product roadmap (mechanics, volatility mix, themes) in alignment with co-founders and the overall go-to-market strategy;
• Compliance & Certification: Drive certification readiness (GLI/BMM) and ensure all titles meet strict regulatory standards for key jurisdictions;
• Data & Performance: Set up and monitor game analytics and KPIs (GGR per title, retention, feature engagement, ARPDAU, hit rate).

Requirements:
 

• 5+ years in iGaming (slot provider or similar B2B environment), with a proven portfolio of released slot titles;
• Deep Math Understanding: Strong grasp of slot mathematics (RTP, volatility, hit frequency, bonus features, jackpots) to effectively collaborate with shared math resources;
• Delivery Focused: Proven ability to deliver slot titles from concept to launch in a lean, fast-paced environment;
• Compliance Knowledge: Hands-on experience with GLI/BMM certification processes and regulatory constraints;
• Entrepreneurial Mindset: Proactive, comfortable with high autonomy, and capable of setting up clear production pipelines from zero;
• Communication: Strong ability to sync with shared tech teams, report directly to founders, and manage external partners.

Nice-to-Have:

• Experience in building or scaling a game development team / sub-studio.
• Exposure to RGS platforms, aggregator integrations, and regulated markets.
• A strong mix of product vision, visual design taste, and data-driven decision-making.

Benefits:

• 21 vacation days + 2 extra day-offs annually;
• 12 paid sick days;
• Fully remote format — work from anywhere you feel productive;
• Flexible schedule: start your day anytime between 08:00–11:00 CET;
• Fixed budget for health insurance and gym/fitness;
• Provided all required work equipment;
• Zero bureaucracy and direct communication with founders and C-level;
• Minimal meetings, async-friendly workflow;
• Startup energy: fast motion, creativity, and tight-knit communication;
• Business trips and team meetups several times per year;
• Multiple salary payout options (flexible formats);
• …And many more perks unlocked after we hit break-even.

At P2Bid, we build multiplayer games where every game mechanic is powered by a fast, reliable, and scalable backend.
 

We're looking for a Senior Python Developer with 5+ years of commercial Python experience, including 3+ years building asynchronous backend services under real production load.
 

About the role:

We're looking for an engineer who goes beyond implementation and takes ownership of technical decisions.

You'll be responsible for designing and evolving core backend services, owning critical parts of the system, reviewing code, and helping shape the technical direction of the product. We value engineers who think about reliability, scalability, maintainability, and long-term architecture—not just delivering features.
 

Requirements

• 5+ years of commercial Python development experience.
• 3+ years building high-load asynchronous backend services.
• Strong knowledge of Python 3.11+, async/await, the event loop, and asynchronous programming principles.
• Hands-on experience with asynchronous web frameworks such as FastAPI, Starlette, aiohttp, Litestar, or similar.
• Deep understanding of asyncio: gather, TaskGroup, task cancellation, timeouts, backpressure, and concurrency patterns. You understand why a silently failed background task is a production incident.
• Strong typing as a standard development practice. Experience with mypy or pyright, Protocols, Generics, and modern Python typing.
• Excellent SQL skills, including JOINs, indexes, transactions, and extensive experience with PostgreSQL.
• Strong understanding of PostgreSQL locking mechanisms (FOR UPDATE, SKIP LOCKED), transaction isolation levels, deadlocks, and query execution plans.
• Experience with SQLAlchemy (ORM or Core) or another mature ORM.
• Confident writing automated tests with pytest, fixtures, parametrization, and dependency mocking.
• Experience working with Docker, Git, and code reviews through Merge/Pull Requests.
• Production experience with message brokers such as Kafka, RabbitMQ, NATS, or similar. You've debugged real production issues—not just studied the concepts.
• Practical experience building distributed systems, including at-least-once delivery, idempotency, deduplication, and understanding why exactly-once delivery is not achievable over the network.
• Experience working with business-critical domains such as payments, billing, accounting, order management, inventory, or any system where mistakes have financial consequences.
• Strong understanding of failure scenarios. For example, you know how to handle cases where a request was sent but no response was received—and why a naive retry may be worse than a failure.
• Ability to perform meaningful code reviews, focusing on architecture, reliability, maintainability, and engineering quality—not just code style.
• English sufficient for reading technical documentation, writing code comments, and technical documentation. Spoken English is a plus but not required.
   

Tech Stack

• Python 3.12
• FastAPI
• PostgreSQL
• MongoDB
• NATS / JetStream
• Docker
• Kubernetes

We also use dishka (dependency injection), adaptix (mapping), FastStream (message broker abstraction), ty (typing), and uv (dependency management). You don't need prior experience with these libraries—they're based on familiar concepts and are easy to learn. During interviews, we focus on your understanding of asynchronous programming, SQL, distributed systems, and engineering trade-offs, not on knowledge of specific libraries.
 

If you meet most of the requirements, we'd love to hear from you—even if some technologies in our stack are new to you.

Project description

Developed product is the leading software system in Energy domain covering all aspects of Oil&Gas production from geological exploration to optimization of ongoing production. Our technology solution helps geologists and geophysicists to research, visualize and interpret large volumes of geological data.
Our project is stable, long-term and constantly adopts new technologies such as Java 11, Cloud and GPU computing.
Work supposes close cooperation with Customer team located in Houston and following Agile principles.
Our team is senior, supportive and friendly.

Responsibilities

Learn technologies used on the project;

Explore existing code base;

Start performing project tasks.

Skills

Must have

Strong Java Core;

Algorithms: sorting, optimization;

Intermediate English.

Nice to have

Experience in desktop applications development using Java.

Git repository link of candidate's work would be helpful.

PwC is a global network of more than 370,000 professionals in 149 countries that turns challenges into opportunities. We create innovative solutions in audit, consulting, tax and technology, combining knowledge from all over the world.

PwC SDC Lviv, opened in 2018, is part of this global space. It is a place where technology is combined with team spirit, and ambitious ideas find their embodiment in real projects for Central and Eastern Europe.

What do we guarantee?

• Work format: Remote or in a comfortable office in Lviv — you choose.
• Development: Personal development plan, mentoring, English and Polish language courses.
• Stability: Official employment from day one, annual review of salary and career prospects.
• Corporate culture: Events that unite the team and a space where everyone can be themselves.

We are looking for self-driven professionals who have demonstrated a passion for improving the way work gets done through Microsoft Power Apps. Whether you have built a Canvas App, automated a simple task with Power Automate, or simply enjoy exploring new no-code/low-code tools, this role offers an opportunity to transform that passion into a full-time technology career.

As a Junior Power Apps Developer, you will learn how to design and build business applications using Microsoft Power Apps, with light exposure to Power Automate for simple automations (notifications, approvals, and basic data processing). Working alongside experienced Power Platform developers, you will gain hands-on experience with Power Apps, Power Fx, SharePoint, and Dataverse basics.

This is an entry-level career opportunity for professionals who want to evolve from being users of technology into builders of technology. No previous professional development experience is required a genuine interest in technology, continuous learning, and hands-on experimentation is essential.

Key Responsibilities

Power Apps Development:

• Design, build, and test Power Apps Canvas Apps using screens, controls, forms, and galleries.
• Use Power Fx for navigation, filtering, basic calculations, and data validation.
• Use variables and collections to manage simple application state.
• Connect apps to SharePoint, Excel, or Dataverse tables.
• Build simple, reusable screens and controls where possible.
   

Basic Automation (Power Automate):

• Build simple cloud flows: trigger on a button press, form submission, or scheduled time.
• Send notifications (email/Teams) and set up basic approval steps.
• Use basic variables, conditions, and static inputs/outputs within a flow.
• Understand how to check if a flow run succeeded or failed.
   

Learning & Collaboration:

• Ask for feedback and apply it to improve app usability and reliability.
• Document what an app or flow does in simple, clear language.
• Participate in reviews with more senior developers to learn best practices.

Required Qualifications

Technical Skills:

• 0–1 years of experience building Power Apps (personal, academic, or professional).
• Basic understanding of controls, screens, galleries, and variables.
• Ability to write simple Power Fx formulas (e.g. filtering, navigation, basic validation).
• Experience connecting an app to at least one data source (SharePoint, Excel, or Dataverse).
• Willingness to learn SQL, Dataverse, and security concepts on the job.
• English level: B2 or higher (mandatory).
   

Basic Power Automate Knowledge:

• Understanding of what a trigger and an action are.
• Ability to build a simple flow with 2–5 steps (e.g. notify, approve, update a record).
• Basic awareness of how flows connect to Power Apps.

Nice-to-Have Skills

• Microsoft Dataverse (tables, relationships, basic security).
• More advanced Power Automate (conditions, loops, error handling, approvals).
• SQL basics.
• SharePoint document libraries and permissions.
• Power Apps YAML source definitions.
• AI-assisted development tools (Copilot, Cursor, etc.).
• Basic understanding of role-based or row-level security.

Policy statements:
www.pwc.com/ua/uk/about/privacy.html

Meet the YozmaTech YozmaTech isn’t just another tech company – we’re a global team of go-getters, innovators, and A-players helping startups and product companies scale smarter and faster. We build dedicated development teams across 10+ countries, creating strong, long-term partnerships based on trust, transparency, and real impact. Here, every idea counts. We value people who are proactive, open-minded, and ready to grow. If you’re passionate about building meaningful products and want to join a team that feels like family – you’ll feel right at home with us.


Our client are looking for a Senior Support Engineer with strong system administration and troubleshooting skills to join our growing team. You’ll work directly with Fortune 100 customers to investigate and resolve technical issues related to the client's platform. This includes working across a variety of environments from Linux systems and Kubernetes clusters to IAM integrations and secure access workflows. You’ll act as a key technical contact in helping customers maintain operational stability and get the most out of their deployment. The client delivers a cloud-native SaaS platform that integrates Vaultless Secrets Management with Certificate Lifecycle Management, Next Gen Privileged Access Management (Secure Remote Access), and Encryption Key Management to manage the lifecycle of all machine identities and secrets across all environments. Trusted by Fortune 100 companies and industry leaders, the ckient is redefining identity security for the modern enterprise, delivering the world’s first unified Secrets & Machine Identity platform designed to prevent the #1 cause of breaches – compromised identities and secrets. Backed by the world’s leading cybersecurity investors and global financial institutions including JVP, Team8, NGP Capital, and Deutsche Bank.

Key Requirements:
🔹 4+ years of experience in technical support, System Administration, or a similarcustomer-facing technical role;
🔹 Solid hands-on experience managing Linux-based systems in production environments;
🔹 Proficiency with Kubernetes, Terraform, Docker, and shell scripting;
🔹 Working knowledge of IAM concepts, authentication protocols, and API interactions;
🔹 Experience with at least one major cloud provider (AWS, Azure, or GCP);
🔹 Proficiency with networking, TLS/SSL, and system-level debugging (logs, processes, permissions);
🔹 Strong analytical and troubleshooting skills with the ability to independently drive root cause analysis;
🔹 Excellent written and verbal communication skills in English (B2 or higher);

Will be plus:
🔹 Exeprience supporting SaaS platforms or security-focused products;
🔹 Exposure to cybersecurity domains such as: Identity Providers (Okta, Ping), Secrets and Certificate Management (PKI, KMS, CMS), Zero Trust Architecture (ZTA) and Privileged Access Management (PAM), Hardware Security Modules (HSM);
🔹 Familiarity with IaC and automation tools (CI/CD, Terraform, Ansible, etc.);
🔹 Scripting or light programming skills (Python, Bash, or similar);
🔹 Experience working directly with enterprise customers in a production critical environment;


What you will do:
🔹 Investigate and resolve support cases involving the client's SaaS platform, including secret access, authentication issues, certificate workflows, and remote access;
🔹 Reproduce customer issues by building and managing test environments using Linux, Docker, Kubernetes and related tools;
🔹 Analyze logs and platform behavior to isolate root causes and deliver actionable solutions;
🔹 Support customers with secure configuration and best practices;
🔹 Work closely with engineering and product teams to escalate bugs or complex issues, validate fixes, and advocate for customer needs;
🔹 Contribute to internal tooling, team processes, and customer-facing knowledge base articles;
🔹 Be available to support critical issues outside of core hours, as needed;
🔹 Develop runbooks to streamline troubleshooting and improve the customer experience;

Interview stages:
🔹 HR Interview;
🔹 Technical Interview;
🔹 Home Assignment;
🔹 Assignment Review;
🔹 Reference Check;
🔹 Offer;

Why Join Us?

At YozmaTech, we’re self-starters who grow together. Every day, we tackle real challenges for real products – and have fun doing it. We work globally, think entrepreneurially, and support each other like family. We invest in your growth and care about your voice. With us, you’ll always know what you’re working on and why it matters.
From day one, you’ll get:
🔹 Direct access to clients and meaningful products;
🔹 Flexibility to work remotely or from our offices;
🔹 A-team colleagues and a zero-bureaucracy culture;
🔹 Opportunities to grow, lead, and make your mark.

After you apply

We’ll keep it respectful, clear, and personal from start to offer.
You’ll always know what project you’re joining – and how you can grow with us.

Everyone’s welcome

Diversity makes us better. We create a space where you can thrive as you are.

Ready to build something meaningful?

Let’s talk. Your next big adventure might just start here.

Sovrano AI, SL is a Barcelona company selling verified European expert capacity to frontier AI labs, robotics companies and enterprise AI teams. A network of 400,000 or more professionals, 100 or more partner universities across Europe, EFMD certification, 23 languages, a funding round led by b2venture, and a proprietary benchmark in EuroExec.

The job

You build the interview agent: a real time voice system that talks to candidates, listens, and holds a conversation that has to feel right on the first attempt. Speech to text on the way in, an LLM in the middle, text to speech on the way out, and a latency budget measured in hundreds of milliseconds. Someone interrupts halfway through a sentence and the agent handles it the way a person would. A model stalls, and the failure sounds like a pause rather than a crash.

Real time voice is unforgiving in a way that ordinary product work is not. There is no loading spinner. It either feels like a conversation or it does not, and the difference is measured in milliseconds you have to go and find.

The interface is as much of the product as the model behind it. You lead on the UI, and you care how it feels rather than only whether it works.
 

The stack

The agent is Python on LiveKit, with streaming speech to text and streaming text to speech either side of an LLM. The interface and the wider platform are Node.js, TypeScript and React, on PostgreSQL and Google Cloud. You work across both halves.
 

You own

• The interview agent end to end: the real time voice pipeline, the model integration, and the prompt and evaluation loop behind it
• Latency, interruption, endpointing, turn taking, and what happens when a model or a network stalls mid sentence
• The candidate facing interface, from interaction design through to shipped frontend
• Model quality, measured rather than asserted. Eval datasets, regression testing on prompt changes, and knowing whether a change made the conversation better or only different
• Integrations that bring the agent, its output and its evidence into the rest of the platform

The experience we require
 

• Five or more years building production software, full stack, with strong frontend depth in TypeScript and React
• Real time audio shipped to production. Streaming speech to text and text to speech, WebRTC or an equivalent transport, and the work that comes with them: voice activity detection, endpointing, turn taking and barge in
• LLM APIs in production. Streaming, tool calling, structured output, first token latency, cost, and what the product does when the model answers wrongly in front of a user
• You measure latency rather than estimate it. A p50 and a p95 you can quote per stage of the pipeline, and tracing good enough to say which hop is the expensive one
• Genuine UI and UX judgement. You take a rough idea to a designed, shipped interface and can explain the choices
• AI native. You already work with AI tools daily and build what you need without being shown how
• English at B2 or above
   

Also worth having

• LiveKit, or another real time agent framework run in production
• A view on the providers at each stage and why: Deepgram, AssemblyAI or Whisper for speech to text, ElevenLabs or Cartesia for speech out
• Speech to speech models, OpenAI Realtime or Gemini Live, and a position on when collapsing the pipeline is worth the control you give up
• Async Python and FastAPI
• Evaluation tooling: Langfuse, LangSmith, or something you built yourself
• Voice treated as personal data: redaction, retention and access control

Sovrano AI, SL is a Barcelona company selling verified European expert capacity to frontier AI labs, robotics companies and enterprise AI teams. A network of 400,000 or more professionals, 100 or more partner universities across Europe, EFMD certification, 23 languages, a funding round led by b2venture, and a proprietary benchmark in EuroExec.
 

The job

You are the engineering lead on the platform, working alongside the CTO every day. Platform architecture, scaling, infrastructure and data are yours. When a query gets slow, when a service will not hold the next order of magnitude, when a feature needs to be designed before it can be built, that is your call to make.
 

This is roughly 70 percent building and 30 percent raising the standard of everyone else's work: reviewing pull requests, setting the code quality bar, unblocking teammates and making decisions that stop being reversible three months later.
 

You own

• Platform architecture and the scaling path, from schema and query performance to infrastructure and cost
• Delivery of the harder platform features end to end, from design through production
• Code quality across the codebase: review standards, testing, what ships and what does not
• Technical decisions made with the CTO, and the ones made on your own when the CTO is not in the room
• The engineers around you getting better, through review, pairing and design conversations
   

The experience we require

• Seven or more years building production software, with real time spent on systems that grew past their first architecture
• Depth in relational data: schema design, query optimisation, and diagnosing performance from first principles rather than by guessing
• Cloud infrastructure and CI/CD owned in production, not consumed as a service someone else runs
• A track record of raising other engineers' work through code review and design feedback
• AI native. You already work with AI coding tools daily and build the tooling you need without being shown how
• English at B2 or above
   

Also worth having

• Experience in an AI or data platform company
• Time as a founding or first senior engineer somewhere
• Comfort moving across the stack when the work demands it

Key Responsibilities  

• Design, build, and maintain scalable, reliable data pipelines (batch and streaming).  
• Develop and optimise data models, warehouses, and lakehouse architectures.  
• Build and automate CI/CD pipelines for data workflows and deployments.  
• Ensure data quality, integrity, lineage, and governance across environments.  
• Implement proactive monitoring and alerting for pipelines and data infrastructure (CloudWatch, Grafana).  
• Manage IaC for consistent, reliable data infrastructure.  
• Troubleshoot and optimise pipeline and query performance across environments.  
• Lead incident resolution and root cause analysis for data systems.  
• Collaborate with analysts, data scientists, and engineering teams, ensuring security, scalability, and operational excellence to understand data requirements and translate them into technical solutions  
• Document data architecture, lineage, and workflows  

Must have  

• 5+ years in data engineering, with solid DevOps/platform engineering exposure.  
• Strong SQL and data modelling skills (dimensional, normalised, lakehouse).  
• Proficient in Python; working knowledge of Scala, Java, or Go.  
• Hands-on experience with data pipeline/orchestration tools (Airflow, DBT).  
• Experience with distributed processing frameworks (Spark, Flink, or similar).  
• Advanced AWS expertise (Glue, EMR, Redshift, Athena, S3, Lambda, Kinesis).  
• CI/CD tools (GitHub Actions, GitLab CI, Jenkins, CircleCI).  
• Infrastructure as Code (CDK, CloudFormation).  
• Experience with streaming/event-driven architecture (Kafka, Kinesis, Apache Flink, or Pub/Sub).  
• Observability tools: Grafana, CloudWatch.  
• Expertise with data warehouse platforms (Redshift, Snowflake).  

Desirable  

• Experience with containerisation and orchestration (Docker, ECS, Kubernetes).  
• Understanding of data governance, cataloguing, and security/compliance (GDPR, lineage tools).  
• Experience with GitHub Enterprise, Atlassian APIs, and Slack bots.  
• Understanding of cost optimisation strategies in multi-cloud and data warehouse environments.  

Project description

The project focuses on developing advanced software solutions for the oil and gas industry, supporting key stages of the reservoir lifecycle, including exploration, development, production, operations, maintenance, and abandonment.

The successful candidate will join the Information Management and Platform Technologies Development team and contribute to the design and development of next-generation software products. The role offers an opportunity to work with modern technologies, apply innovative ideas, and build solutions used in complex energy industry environments.

Responsibilities

Key Responsibilities/Accountabilities:

Knowledge of software engineering best practices (including requirements analysis, system design, modularity, version control, testing, documentation, etc.) for productivity, collaboration, quality, and maintainability.

Knowledge of how a component fits into a larger ecosystem of products and services.

Understanding of how these different pieces work together, and communicate with them (using library calls, REST APIs, database queries, etc.)

Know how to build appropriate interfaces for components that others will depend on. Knowledge of basic system design patterns to avoid bottlenecks and let your algorithms scale well with increasing volumes of data.

Perform research and development tasks.

Expected to design, code, test, do troubleshooting and document engineering systems applications by following the software development lifecycle.

Accomplishes engineering and organization mission by completing related results as needed.

Updates job knowledge by studying state-of-the-art development tools, programming techniques, and computing equipment; participating in educational opportunities; reading professional publications; participating in professional organizations.

Skills

Must have

Degree in Computer Science, Engineering, or equivalent. Master's preferred

Software Development Fundamentals

Strong understanding of Object-Oriented Design and Principles

5+ years of professional experience with Java and Angular

Build & CI/CD: Git Ci/CD, Helm

Database background: Posgtess

REST API Express

Hapi

Self-motivated

Problem Solving skills

Works well within a team

Excellent communication skills

Nice to have

Web front-end technologies and tools: HTML5, CSS, SASS, JavaScript, Angular 16+, Angular CLI, Typescript, NPM, and VS Code.

Web back-end technologies: RESTful APIs using Microservices (NodeJS, C#, C++, Python), Express, JSON, OData, Web Sockets, and Java EE.

Testing: JEST, Karma/Jasmine, E2E testing with Protractor.

MAVEN, Jenkins & Ansible, Containerization.

Cloud: Knowledge in cloud technologies (Azure and Amazon)

We are looking for a Salesforce Consultant or Salesforce Developer with a strong consulting mindset to join an international project within a large and complex organization.

The role combines hands-on Salesforce expertise with business consulting, requirements gathering, and stakeholder management. You will work closely with different teams and stakeholders across the organization to understand service processes and translate business needs into effective Salesforce solutions.

Key requirements

• Strong hands-on experience with Salesforce Service Cloud
• Practical experience with Email-to-Case, including the ability to configure and set it up independently
• Experience with Salesforce configuration, administration, and automations
• Strong requirements gathering and consulting skills
• Understanding of customer service and support processes
• Salesforce Field Service experience is a plus
• Knowledge of Agentforce, APIs, and Apex is a plus
• Confident and professional communication skills
• Ability to communicate effectively with stakeholders across different teams and levels of seniority
• Experience working in a large or complex organizational environment is a plus

We are open to both technical Salesforce Consultants and Salesforce Developers with a strong consulting approach.

How to apply

If your experience matches the requirements, please make sure to highlight your relevant Salesforce experience in your CV, particularly your experience with:

• Salesforce Service Cloud
• Email-to-Case
• Salesforce configuration and administration
• Automations
• Consulting and requirements gathering

Description
We are looking for Sysadmin to join our office in Dnipro. 

Responsibilities:
- Diagnosing network and hardware failures of servers and network equipment;
- Setting up the router;
- Maintaining office equipment, setting up software, connecting office equipment;
- Search and selection of computer equipment.

Requirements:
- Knowledge of PC hardware and office equipment;
- Understanding of the principles of building local networks, Wi-Fi;
- Experience with Mikrotik router, managed switches.
- Intermediate level of English

An advantage will be:
-Basic Linux system administration skills

Working conditions

• An 8-hour working day without a fixed timetable
• Paid vacation (20 working days) and sick leave (2 weeks) +5 days of undocumented sick leave
• English courses 

The hiring process:
0. Interview with a recruiter - 30 minutes
1. CV review by the hiring manager
2. Technical interview - 1 hour
Offer ​

Why This Role Excites You

Build the Future of IoT: Become one of the first engineers shaping our new IoT direction and work on innovative connected device solutions.

• Work on real-world connected device solutions with mobile and cloud technologies.
• Take ownership and influence technical decisions from the very beginning.

Key Responsibilities

• Integrate IoT devices with iOS and Android applications.
• Work with Bluetooth Low Energy (BLE), Wi-Fi and other communication protocols.
• Integrate SDKs and REST APIs.
• Configure, onboard and test connected devices.
• Troubleshoot communication between devices, mobile apps and backend services.
• Collaborate with Mobile, Backend and QA teams.
• Create technical documentation and evaluate new devices and SDKs.

What We're Looking For

• Commercial experience with IoT products or connected devices.
• Experience integrating hardware with mobile applications.
• Good understanding of Bluetooth Low Energy (BLE).
• Experience with REST APIs and networking fundamentals.
• Ability to troubleshoot hardware–software communication.
• Experience working with SDKs and technical documentation.
• Strong analytical and problem-solving skills.
• English: Intermediate (B1) or higher.

Nice to Have

• Android or iOS development experience.
• React Native or Flutter.
• MQTT or WebSockets.
• AWS IoT, Azure IoT or Google Cloud IoT.
• Basic embedded systems knowledge.

Why Join Us

• Opportunity to build a new IoT direction from the ground up.
• International IoT projects.
• High level of ownership and technical autonomy.
• Flexible full-time or part-time cooperation.
• Remote-friendly environment.
• Career growth into Technical Lead or Head of IoT.
  
  If you're passionate about connected devices, mobile technologies and solving real-world integration challenges, we'd love to hear from you!

We are looking for a Senior AI / Machine Learning Engineer with a strong software engineering and backend development background.

Full-time | Remote | Long-term engagment

Start: ASAP

Candidate location: EU

This is a hands-on engineering role combining Machine Learning, LLMs, backend development, and MLOps. We are looking for someone who can take an AI/ML use case, build the required solution in Python, integrate it with existing services and workflows, and make sure it can be run, tested, and maintained in a production environment.

The ideal candidate has strong experience with Python and backend development, a solid understanding of Machine Learning, and practical experience working with LLM-based solutions. Experience with AWS is required, while knowledge of Docker, Kubernetes, and MLOps is important for working effectively with the existing engineering and platform teams.

Our current focus is increasingly moving towards LLM-powered solutions. We are particularly interested in engineers who have practical experience integrating LLMs into real applications and business workflows. Experience with technologies such as OpenAI, AWS Bedrock, or Google Gemini is highly relevant, as well as experience with RAG, embeddings, model adaptation, or fine-tuning.

At the same time, this is not a research-focused or prompt-engineering role. We need someone with strong engineering skills who can build the backend and internal services around AI capabilities. Experience with APIs, databases, asynchronous processing, authentication/authorization, and writing maintainable production code is important.

You should also have a good understanding of MLOps and the ML lifecycle, including how models and AI services are developed, tested, deployed, monitored, and maintained. Hands-on experience with Docker and basic Kubernetes knowledge is expected.

Deep DevOps expertise is not required. Our Application Platform Team is responsible for most of the infrastructure and production deployment. However, you should be comfortable working with cloud-based environments, understand the principles behind MLOps, and be able to independently run and test your solution locally using the appropriate development and containerization tools.

Experience with AWS is essential. Experience with services such as SageMaker is useful, particularly for traditional ML use cases, although the main focus of the team is now shifting towards LLM-based applications.

Experience building AI agents is not a requirement. What matters most is practical experience using LLMs as part of existing applications, internal services, and business processes.

Key requirements

Strong Python and software engineering skills

Significant backend development experience

Experience building APIs and internal services

Solid understanding of Machine Learning and ML model lifecycle

Practical experience with LLMs / Generative AI

Experience integrating LLMs into applications and workflows

Strong AWS experience

Understanding of MLOps

Experience with Docker and basic Kubernetes

Experience working with databases

Understanding of asynchronous programming and concurrency

Experience with authentication and authorization

Ability to run, deploy, and test solutions locally

Experience with OpenAI, AWS Bedrock, or Google Gemini

RAG and vector search

Embeddings

LLM evaluation and optimization

Fine-tuning / adapting foundation models

LangChain or LangGraph

MLflow, Kubeflow, SageMaker

Kafka, Redis, or similar distributed systems technologies