Jobs at Djinni

We are looking for a Lead DevOps / Observability Engineer to lead the migration of the client's observability stack from New Relic and Datadog to Grafana, using technologies such as Prometheus, Loki, and Tempo.

This is a hands-on role combining:
- DevOps & platform engineering - deploying and configuring the new observability stack using AWS, Kubernetes, and Terraform.
- Application instrumentation - modifying application code to add or adapt metrics, logs, and traces.
- Migration & collaboration - rebuilding existing dashboards and alerts in Grafana and working with multiple engineering teams to ensure full monitoring coverage.

We are looking for someone who is comfortable working across both infrastructure and application code and can independently drive a cross-team observability migration.

Responsibilities:

• Lead the migration of monitoring, alerting, and dashboards from New Relic and Datadog to Grafana.
• Design and implement the target observability architecture (metrics, logs, traces) and the infrastructure-as-code (Terraform) needed to support it.
• Audit existing New Relic and Datadog dashboards, alerts, and integrations to build a complete migration inventory and ensure feature/coverage parity in Grafana.
• Make application-level code changes across services to add, adjust, or replace instrumentation (metrics exporters, logging, tracing libraries) as needed for the new stack.
• Work with AWS infrastructure, including EKS, Kubernetes, and Docker, to deploy and operate the new observability tooling.
• Configure AWS networking and access as needed to support the observability platform (VPCs, security groups, IAM).
• Contribute to CI/CD pipelines and deployment automation using GitHub Actions to support the rollout.
• Collaborate with development, platform, and infrastructure teams to coordinate the cutover from New Relic/Datadog to Grafana with minimal disruption.
• Identify and remediate any security issues (secrets, keys, dependencies) encountered in the course of this work.
• Document the new observability architecture, migration procedures, and dashboard/alert mappings.
• Use AI-assisted development tools, including Codex, to improve engineering productivity and delivery speed.

Requirements: 

• Strong hands-on experience with Grafana, including dashboard design, alerting, and data source configuration (e.g. Prometheus, Loki, Tempo, or similar).
• Practical experience migrating away from commercial observability platforms such as New Relic and/or Datadog.
• Full-stack development experience — comfortable reading, modifying, and instrumenting application code across front-end and back-end services, not just infrastructure.
• Solid experience with AWS in production environments, including EKS and Kubernetes.
• Practical experience with Docker and containerized workloads.
• Strong Terraform and infrastructure-as-code skills.
• Experience with GitHub Actions or comparable CI/CD tools.
• Ability to work across multiple teams, services, and codebases to coordinate a cross-cutting migration.
• Fluency with Codex or comparable AI-assisted coding tools.

Nica to have:

• Prior experience running a similar New Relic/Datadog-to-Grafana (or equivalent) observability migration end to end.
• Grafana-specific certifications or demonstrated community contributions (plugins, dashboards, etc.).
• Experience with the broader Prometheus/Loki/Tempo (LGTM) ecosystem.
• AWS certification, such as AWS Solutions Architect Associate/Professional.
• Experience with RDS and other AWS data services.
• Prior contract or consulting experience with clearly defined deliverables.
• At least an Upper-Intermediate level of English 

RedCore is an international business group that creates technological solutions for digital markets. Our products and services cover fintech, marketing, e-commerce, customer service, communications, and regulatory technologies.

We are looking for a QA Manager!  

Requirements: 
- 10+ years in QA with 3–5+ years managing QA Leads and multi‑team QA organizations
- Experience leading 15–40 QA specialists across multiple concurrent products
- Ownership of QA strategy at domain/organization level
- Proven QA transformation experience (manual → automation)
- Strong SDLC expertise and ability to embed quality into all phases
- Building measurable quality KPIs and integrating them into SDLC
- Automation strategy leadership including reliability, execution time, CI/CD integration
- Experience designing automation pyramid layers and scaling automation org‑wide
- Mandatory performance testing implementation at feature level
- Quality governance experience (DoD, DoR, quality gates, standards)
- Strong test planning & risk management for large delivery pipelines
- Release quality ownership and predictable delivery management
- Cross‑functional collaboration with CI/CD, DevOps, IT, Product
- Leadership of QA Leads: mentoring, coaching, competency development
- People management excellence including performance reviews and career paths
- Managing high/low performers with structured action plans
- Hiring & scaling QA teams in fast‑growing environments
- Strong stakeholder communication including C‑level and product leadership
- Quality metrics & continuous improvement expertise (defect leakage, MTTR, stability, coverage) 

Responsibilities: 
 - Definition of all necessary testing activities on projects to ensure that they projects adhere to all required quality standards;
- Monitor deadlines for global tasks/initiatives of the testing team, coordinate/agree with PMs, Delivery, and Engineering Managers on their execution;
- Control the execution of quarterly goals and policies, maintaining up-to-date information, and providing status on the implementation of policies or quarterly goals;
- Monitor the quality of the implementation of policies and quarterly goals;
- Analysis of the root causes of errors, elimination of root causes, and addressing consequences;
- Full responsibility for delivered artifacts;
- Have a detailed understanding of project architectures at the module level and their interactions;
- Support testing during architecture changes or refactoring (paying attention not only to the functional level but also not forgetting about non-functional requirements);
- Build a testing and development process focused on reducing time to market and increasing the quality of delivered products;
- Development and establishment of the necessary hierarchy within the testing team;
- Assistance in writing testing policies and initiation of writing such policies based on arising or potential tasks;
- All decisions made should be focused on intensive solutions, not quantitative ones;
- Tracking hiring (according to the workload tracking process) and conducting layoffs;
- Building and implementing a system for tracking project quality;
- Building and implementing a system for tracking team workload;
- Standartise and unify technical stack and approaches between different teams and value streams;
- Integrate knowledge sharing best practices between teams and value streams.

Our benefits to you:

☘️An exciting and challenging job in a fast-growing business group, the opportunity to be part of a multicultural team of top professionals in Development, Architecture, Management, Operations, Marketing, Legal, Finance, and more

🤝🏻Great working atmosphere with passionate experts and leaders, sharing a friendly culture and a success-driven mindset is guaranteed

🧑🏻‍💻Modern corporate equipment based on macOS or Windows and additional equipment are provided

🏖Paid vacations, sick leave, personal events days, days off

💵Referral program — enjoy cooperation with your colleagues and get the bonus

📚Educational programs: regular internal training sessions, compensation for external education, attendance of specialized global conferences

🎯Rewards program for mentoring and coaching colleagues

✈️In-house Travel Service

🦄Multiple internal activities: online platform for employees with quests, gamification, presents and news, clubs for movie / book / pets lovers and more

🎳Other benefits could be added based on your location 

Join a growing DevOps community at Sigma Software and build hands-on experience with modern cloud infrastructure, CI/CD pipelines, automation, and Infrastructure as Code. We are looking for a Junior DevOps Engineer eager to develop technical expertise while working alongside experienced professionals on international projects.

You will become part of a top-notch DevOps team of more than 30 specialists collaborating across cloud-native platforms, enterprise systems, and scalable digital products. We as a company support continuous learning, mentoring, certification growth, and transparent career development.

This role is a great opportunity for engineers who want to strengthen their cloud and automation skills in a collaborative environment with access to Senior and Principal-level mentorship.

Requirements

• 1+ years of hands-on experience with at least one public cloud platform: AWS, Azure, or GCP
• Solid understanding of Linux administration and networking fundamentals including TCP/IP, DNS, HTTP/HTTPS, services, packages, and system metrics
• Understanding of CI/CD principles and practical exposure to GitHub Actions, GitLab CI, Azure DevOps, Jenkins, or TeamCity
• Understanding of containerization concepts and practical experience with container images and runtime environments
• Scripting experience using Shell and either Python or PowerShell
• General understanding of Infrastructure as Code and configuration management tools such as Terraform and Ansible
• Understanding of SDLC processes and DevOps principles
• Basic knowledge of databases, monitoring, logging, backup, storage, and security concepts
• Understanding of authentication and authorization concepts, TLS, and secure secrets management
• Experience using AI assistants responsibly while validating outputs and maintaining data security standards
• Good communication and collaboration skills
• At least an Upper-Intermediate level of English

WILL BE A PLUS:

• Experience with Kubernetes or other orchestration platforms
• Hands-on experience with Terraform or Ansible in production environments
• Experience with centralized logging and monitoring tools such as Prometheus, Grafana, ELK Stack, CloudWatch, or Datadog
• Exposure to GitOps practices
• Familiarity with AI/LLM services or vector databases in infrastructure-related scenarios
• Cloud or Linux-related certifications

Personal Profile

• Strong willingness to learn and grow within a professional DevOps environment
• Proactive and ownership-oriented mindset
• Ability to collaborate effectively in cross-functional teams
• Attention to detail and structured approach to operational tasks
• Good analytical and problem-solving skills

Responsibilities

• Set up, configure, test, and maintain infrastructure across development, staging, testing, and production environments
• Contribute to Infrastructure as Code implementation following established modules, conventions, and review processes
• Support CI/CD pipeline configuration, maintenance, release preparation, and deployment activities
• Investigate incidents by collecting logs and monitoring evidence, performing initial triage, and documenting resolutions
• Configure monitoring checks, alerts, and participate in backup and recovery procedures
• Follow security best practices including least-privilege access management and secure secrets handling
• Maintain infrastructure documentation, deployment instructions, architecture diagrams, and operational runbooks
• Collaborate with developers, QA engineers, security specialists, and operations teams
• Continuously improve technical skills through mentoring, certifications, and project participation

About Our Client

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

About the Role

We are looking for a Senior Software Engineer for the connectivity stack of a large-scale data platform. The work spans three areas:

• Client connectivity — drivers and client libraries used by applications and BI tools
• Source connectivity — connectors to databases and data systems, including authentication, metadata discovery, and query/data pushdown, with certification and upgrade support
• Agent & service connectivity — tool interfaces and integrations for AI-agent access to the platform

Deep expertise in one of these areas is enough — you'll grow into the adjacent ones over time. This is a role for an engineer who cares about API and protocol stability, backward compatibility, and interoperability with the tools enterprises actually use. You will lead the design and delivery of substantial components, working within an established architecture alongside US-based engineering reviewers.

This is a systems-level, backend engineering role focused on drivers, protocols, and distributed services — not application development or CRUD services.

Responsibilities

• Lead the design and delivery of connectivity components — client drivers, source connectors, and service integrations — turning ambiguous initiatives into well-scoped, reviewable milestones
• Produce technical designs, explain architectural trade-offs, and surface compatibility, security, and delivery risks early
• Maintain backward compatibility and API/protocol stability; build compatibility, interoperability, and performance test suites
• Develop and maintain connectors for major BI tools, collaborating with the technology partners behind them
• Diagnose complex client/server, protocol, and distributed-system failures; drive root-cause analysis of customer-reported and escaped defects
• Improve diagnostics, logging, observability, and supportability of the connectivity stack
• Contribute upstream to open-source projects (e.g., Apache Arrow) where agreed
• Mentor engineers, participate in code and design reviews, and communicate progress and risks clearly across a distributed team

Required Qualifications

• B.S. or M.S. in Computer Science, Computer Engineering, or a related field — or equivalent practical experience
• 8+ years of production software engineering experience
• Deep proficiency in Java or C++, and the ability to work effectively in another systems/services language
• Experience designing and debugging APIs, protocols, client libraries, or distributed services
• Strong fundamentals: data structures, concurrency, asynchronous programming, networking, and failure handling
• A track record of comprehensive testing — unit, integration, compatibility, and performance
• Experience with production CI/CD, release processes, and engineering quality controls
• Working knowledge of SQL
• Comfortable with AI-assisted development workflows — using modern AI tools productively while critically validating their output
• Clear written and verbal communication in a distributed engineering environment; English Upper-Intermediate or higher (B2+)
• Availability to work EU business hours shifted 2–3 hours later for daily overlap with US West Coast mornings

Desired Skills

• JDBC, ODBC, ADBC, or database-driver development experience
• Apache Arrow (including Arrow Flight)
• SQL engines, databases, or data platforms
• Source-connector development for databases, warehouses, or SaaS systems
• MCP or agent-tool integrations
• OAuth, OIDC, TLS, and enterprise authentication flows
• Cross-platform native build, packaging, and release experience
• BI-tool interoperability (Power BI, Tableau) and partner collaboration
• Observability and production diagnostics
• Open-source contribution experience

Details

• Engagement: Long-term contract
• Location: Europe (EU / EEA / UK), remote
• Working hours: EU business hours, shifted 2–3 hours later for daily overlap with the US West Coast team

Lead Engineer | Node.js, React Native, AI Agents

Location: London / hybrid preferred, or remote from Central & Eastern Europe
Level: Mid-to-Senior, hands-on Lead
Employment: Full-time, permanent

About the company

We are an early-stage UK product company building an AI-powered platform focused on professional relationships and network intelligence.

The product combines a social graph, relationship data and an AI agent that helps users identify relevant people, understand their network and strengthen important connections.

We are looking for a Lead Engineer / Founding Senior Engineer who will own the technical architecture, write production code and help grow the engineering team.

This is a hands-on engineering role, not a pure management position.

Tech stack

• Node.js / TypeScript / Express
• React Native + Expo
• MongoDB Atlas
• Atlas Vector Search + BM25 / hybrid retrieval
• OpenAI / custom LLM tool-calling agents
• AWS EC2, Cognito, S3
• Docker, Nginx
• GitHub Actions / CI/CD

Responsibilities

• Own technical architecture and production infrastructure
• Ship features across backend, mobile and AI agent layers
• Build and improve LLM agents, prompts, tool-calling flows and evaluation
• Mentor engineers and establish strong engineering practices
• Implement privacy-by-design and GDPR requirements
• Build and use synthetic data for development, testing and model evaluation
• Own CI/CD, monitoring, secrets management and incident response
• Own application and infrastructure security
• Secure AI agents against prompt injection, data leakage and unintended tool actions
• Work directly with the Founder on product and architecture decisions

Must-have

• 4+ years of professional software engineering experience
• Strong Node.js / TypeScript backend experience
• Experience owning real production systems
• Comfortable across backend, frontend/mobile and infrastructure
• MongoDB or similar document database experience
• Hands-on experience building LLM agents and prompting systems
• Experience with agent tool usage and evaluation
• Practical GDPR and data privacy knowledge
• Strong security fundamentals
• Understanding of AI-agent risks such as prompt injection, data leakage and unintended actions
• Experience working with synthetic data
• Production deployment, monitoring and incident-response experience
• Previous mentoring or technical leadership experience
• Comfortable with ambiguity and a fast-moving startup environment

Nice-to-have

• React Native / Expo
• RAG / vector search
• AWS Cognito
• Previous Tech Lead, CTO or founding engineer experience
• Application security / pentesting background
• Experience securing LLM / AI-agent applications

Compensation

Competitive salary + equity depending on experience and location.

We are looking for someone interested in a long-term role and growing together with the company, not a freelance or short-term contract position.

We are looking for a strong Backend Developer for a high-load project connected with Android infrastructure, reverse engineering, network traffic analysis, and processing large amounts of data.

The main backend is built on Node.js, so strong knowledge of JavaScript and TypeScript is required.

Responsibilities

• Develop and maintain backend services using Node.js / TypeScript.
• Work with high-load and distributed systems.
• Design systems for storing and processing large amounts of data.
• Work with PostgreSQL, ClickHouse, and Redis.
• Optimize database queries, indexes, and data structure.
• Work with:
  • replication;
  • sharding;
  • partitioning;
  • distributed data;
  • high availability;
  • fault tolerance.
• Work with Kubernetes infrastructure.
• Find and fix performance problems in backend, databases, and infrastructure.
• Analyze network traffic and application communication.
• Work with traffic sniffing and proxy tools.
• Understand how mobile applications communicate with backend services and APIs.
• Analyze requests, responses, headers, payloads, tokens, and sessions.
• Work with existing code and systems with limited documentation.
• Find technical problems and propose solutions independently.
• Work with distributed workers, services, and nodes.

Required Skills

Backend

• Strong experience with Node.js.
• Strong knowledge of JavaScript.
• Strong knowledge of TypeScript.
• Good understanding of async programming.
• Understanding of Node.js event loop.
• Experience with REST API and WebSocket.
• Experience with high-load backend systems.

Databases

• Strong experience with PostgreSQL.
• Strong experience with ClickHouse.
• Strong experience with Redis.
• Good understanding of:
  • indexes;
  • query optimization;
  • query plans;
  • replication;
  • sharding;
  • partitioning;
  • distributed databases;
  • data consistency;
  • high availability.

Experience with large databases and high traffic is very important.

Infrastructure

• Kubernetes.
• Docker.
• Linux.
• Experience with cluster systems.
• Understanding of networking.
• Understanding of load balancing.
• Understanding of horizontal scaling.
• Ability to find CPU, RAM, disk, and network bottlenecks.
• Experience with logs and monitoring.

Reverse Engineering / Network Analysis

• Understanding of Android reverse engineering.
• Understanding of Android architecture.
• Experience with traffic sniffing.
• Good understanding of HTTP / HTTPS.
• Understanding of TLS.
• Experience with proxy-based traffic analysis.
• Understanding of authentication, sessions, cookies, and tokens.

Important

We are not looking for a developer who only has experience with simple CRUD applications.

The candidate should understand the full system:

application → network → backend → databases → infrastructure

The developer should be able to work independently, research technical problems, understand existing systems, and find solutions even when documentation is limited.

Level

Strong Middle / Senior Backend Developer

Experience in these areas will be a plus:

• high-load systems;
• distributed systems;
• reverse engineering;
• network traffic analysis;
• large-scale data processing;
• complex or undocumented APIs;
• systems with many workers and nodes.

About Our Client

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

About the Role

We are looking for a Senior Software Engineer for the data catalog and enterprise data management layer of a large-scale lakehouse platform — the services that automate data ingestion and autonomously optimize Apache Iceberg tables. You will own features through the full development cycle, from design through deployment, in a multithreaded, distributed environment where scalability, performance, and always-on availability are the baseline expectations.

This is a systems-level, backend engineering role focused on data infrastructure internals — not application development or CRUD services.

Responsibilities

• Own the full software development cycle — inception, design, development, testing, deployment — for catalog and data-management services
• Build and operate services for automated ingestion and autonomous optimization of Apache Iceberg tables
• Reason about concurrency and parallelization to deliver scalability and performance in multithreaded, distributed systems
• Drive performance tuning and system-efficiency improvements
• Work with Apache Foundation open-source projects, contributing upstream where agreed
• Participate in code and design reviews, upholding a high engineering bar
• Collaborate with product managers, support teams, and solution architects on feature requests and design updates
• Partner with US-based engineering leads on technical decisions

Required Qualifications

• B.S., M.S., or PhD in Computer Science or a related field
• 5+ years of software engineering experience, preferably focused on database systems or related fields
• Strong object-oriented programming skills in Java or C++
• Solid grounding in data structures and algorithms
• Hands-on experience with multithreaded and asynchronous programming patterns for scalable, performant systems
• A passion for engineering quality — zero-downtime upgrades, availability, resiliency, and uptime as first-class concerns
• Comfort with a fast-moving environment; strong ownership; the confidence to defend a technical position and the openness to be mentored
• Comfortable with AI-assisted development workflows — using modern AI tools productively while critically validating their output
• English Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team
• Availability to work EU business hours shifted 2–3 hours later for daily overlap with US West Coast mornings

Desired Skills

• Database internals and query planning
• Distributed systems: concurrency control, data replication, storage systems
• Apache Iceberg or other open table formats (Delta Lake, Hudi)
• Messaging systems: Kafka, NATS, or cloud pub/sub services
• Contributions to open-source data infrastructure (Apache projects especially valued)

Details

• Engagement: Long-term contract
• Location: Europe (EU / EEA / UK), remote
• Working hours: EU business hours, shifted 2–3 hours later for daily overlap with the US West Coast team

In short:
We're an AI product studio with $2.25M raised and a portfolio of 4 products, looking for an operational marketer who can turn reach into paying customers in the US market.

We have a content farm running 500 accounts, a UGC network, 13 people in marketing, and $50K/month in paid acquisition budget from day one. What we're missing is someone who can turn all of this into a working revenue machine.

If you've run paid traffic for real money in iGaming, crypto, or mobile subscriptions, and you know your CAC without hesitation — read on.

About the company
An AI product studio. We build our own products and take them to market ourselves.

• Stage: post-seed, $2.25M raised
• Portfolio: 4 products spanning AI/fintech (crypto investing agent — our main bet), martech/AI SaaS, and other consumer apps
• Monetization: B2C subscription at $59/month plus contract revenue
• Market: US and Western Europe

• Distribution: content farm of 500 accounts, UGC network, paid channels

   

What you get

Full revenue mandate. All products, all channels, including sales. You decide what to scale, what to shut down, who to hire, and who to let go within marketing.

Ready-made assets, not a blank slate:

• Content farm of 500 accounts (operating cost ~$14,500/month) — generates reach, but the link to paying customers hasn't been measured
• UGC network with a Telegram bot and CRM — 46% utilization, unit economics need fixing
• Team of 13 people across three units (Content Engine, Marketing & Sales, UGC Network)
• Paid acquisition budget of $50K/month from day one, expanding to $150K once LTV/CAC ≥ 3 — no approvals needed

No restrictions on methods. Multi-accounting, arbitrage, affiliates, aggressive funnels — all fair game if it brings paying customers and doesn't create legal risk.

Uncapped revenue share: 6% of recurring revenue from the customer base you bring in (8% at LTV/CAC ≥ 4). No ceiling. At $250K MRR, your variable comp is $20K/month on top of base.

Equity option: 1–2% in the holding company (across the whole product portfolio, not a single project).

Career path: CMO → CRO within 12–18 months. The role is designed as a track toward running the studio's entire revenue engine.

What's expected of you

First 90 days (by December 31, 2026)

• Build end-to-end analytics: click → signup → trial → payment, across all products. Currently none exists.
• Launch a paid channel and hit a repeatable CAC below the $138 ceiling within 3 weeks, at ≥100 paying customers/month
• Calculate the real CPA of the content farm and decide: scale it or shut it down
• Make personnel decisions on all 13 team members. We don't expect you to keep the current team as-is.

By month 6 (by March 31, 2027)

• $60K MRR minimum, $100K MRR target
• LTV/CAC ≥ 3 across the portfolio
• ≥40% of paying customers from owned channels (not paid ads)

• At least 2 channels scaled

   

Compensation
Base: $7,000 → $8,500 (after 90 days) → $10,000 (at $150K studio MRR)

Variable: 6% of recurring revenue from clients you acquire, paid monthly for as long as they pay. 8% at LTV/CAC ≥ 4. Contract deals: 3%. No cap.

Must-have

• 6+ years in performance/growth marketing, 3+ years managing a team
• Background in iGaming, crypto, Web3, or mobile subscriptions — expensive-traffic environments
• Subscription-model fluency: cohorts, trial-to-paid, payback — not just CPC
• Experience acquiring paying customers in the US/Western Europe, English-language creative
• Managed a budget of ≥$50K/month
• 0→1 experience with channel-level numbers to show for it
• Hands-on experience with multi-accounting, affiliates, or content farms
• You build your own cohorts and read the funnel yourself
• English C1+

Nice to have

• Experience at a venture builder or multi-product studio
• Personal network in the creator economy / affiliate market
• Experience launching a crypto or fintech product at retail scale
• AI tools in daily workflow

Not a fit if:

• You only have brand experience, no acquisition numbers to show
• Agency-only background, no P&L ownership
• You need existing processes in place to get started
• You're not comfortable with outcome-tied compensation

Hiring process
Numbers-based screening (20 min) → Interview with CEO (60 min) → Take-home assignment (5 days) → Panel defense with CEO+CCO+CTO (90 min) → Offer

The Defense Procurement Agency (DOT) is a national agency responsible for procuring ammunition, UAVs, military equipment, fuel, food, clothing, and other critical supplies for the Armed Forces of Ukraine and the Defense Forces.

Our mission: Strengthening Ukraine by ensuring reliable support for the Defense Forces while fostering the development of the national defense industry.

Our vision: To become the driving force behind the transformation of Ukraine's defense procurement ecosystem—not only operating the system, but continuously improving it.

We are looking for a Tech Lead / Senior DevSecOps to provide technical leadership to the Security Engineering team, develop information security architecture, implement security solutions across the Microsoft ecosystem, and integrate security requirements into infrastructure and software development processes.

Responsibilities

• Provide technical leadership to the Security Engineering team, including prioritizing and distributing tasks, mentoring team members, and ensuring the quality of implementation.
• Design and develop information security architecture and key cybersecurity capabilities, including Cloud Security, Identity & Access Management, Vulnerability Management, DevSecOps, and Incident Response.
• Implement, administer, and develop security services across the Microsoft security ecosystem.
• Conduct security reviews of infrastructure, CI/CD pipelines, and Infrastructure as Code (Terraform).
• Collaborate with Infrastructure, DevOps, and Software Engineering teams to integrate security requirements into architecture and development processes.
• Develop the AI Security function, including AI Security Proxy, AI Governance, DLP, monitoring, and auditing.
• Develop technical security standards, guidelines, recommendations, and information security documentation.

Requirements

• Bachelor's or Master's degree in Cybersecurity, Information Technology, Computer Science, or a related field.
• 3+ years of experience in cybersecurity roles such as Security Engineer, Cloud Security Engineer, or DevSecOps Engineer, with hands-on experience in Azure Security and Microsoft Security.
• Hands-on experience securing cloud infrastructure in Microsoft Azure.
• Strong knowledge of Microsoft security services, including Defender XDR, Defender for Cloud, Sentinel, Intune, Entra ID, Purview, and related solutions.
• Experience building and developing Vulnerability Management processes.
• Strong understanding of modern DevSecOps practices, including CI/CD security, Infrastructure as Code (Terraform), SAST, DAST, Secret Scanning, and IaC Security.
• Hands-on experience securing containerized environments and Kubernetes.
• Experience with information security incident analysis and response.
• Previous technical leadership experience or strong Senior Security Engineer experience with the readiness to take on a Tech Lead role.

What We Offer

• Meaningful work that directly contributes to strengthening Ukraine's defense capabilities.
• Official employment with competitive salary and full social benefits.
• Professional development, learning opportunities, and career growth.
• Structured onboarding and dedicated mentorship.
• A collaborative, supportive, and mission-driven team.
• Modern office near the metro with reliable internet and equipped shelter.

By joining our team, you will contribute to one of Ukraine's largest digital transformation initiatives in the defense sector and help build the future of defense procurement.

Ready to make a real impact? We'd love to hear from you. Apply today!

* By submitting your CV, you consent to the processing of your personal data in accordance with applicable legislation.

** Due to the high volume of applications, only candidates whose qualifications best match the position will be contacted.

About the Client

Our client is a leading global healthcare organization, driving innovation in pharmaceuticals, biotechnology, and patient-centric solutions.

We develop advanced data and analytics solutions that help global organizations turn complex data into intuitive digital tools, enabling teams to make informed decisions in their daily operations and long-term strategy. Our projects span modern operational applications, interactive dashboards, and advanced analytics platforms designed to deliver actionable insights across multiple business domains.

About the Role

We are looking for a proactive and analytical Market Research Analyst to support strategic decision-making in the aesthetics medicine industry, with a focus on the Facial Injectables market.

The role involves conducting market, industry, competitor, financial, digital, and brand research, identifying relevant trends and opportunities, and translating research findings into clear, actionable insights for senior and executive leadership.

The successful candidate will work with both quantitative and qualitative information, research companies and markets using multiple sources, identify meaningful patterns and business implications, and communicate findings through structured analyses and executive-level presentations. The scope of the role may evolve depending on business priorities and emerging research needs.

Key Responsibilities

• Conduct market, industry, competitor, and company research to support strategic decision-making.
• Monitor competitor activities, product developments, strategic initiatives, geographic expansion, investments, and other relevant market developments.
• Analyze company financial performance, including revenue dynamics, business segments, margins, cost structure, and profitability drivers.
• Research competitor digital presence, brand positioning, messaging, PR strategies, product focus, and audience engagement across relevant channels.
• Monitor industry trends, emerging players, high-growth segments, industry events, and other market signals to identify risks and opportunities.
• Synthesize information from multiple sources into clear, actionable business and strategic insights.
• Prepare PowerPoint presentations and executive-level reports communicating key findings, trends, implications, and recommendations.
• Use existing Power BI dashboards and other analytical tools to support research and analysis.
• Maintain structured research materials, trackers, datasets, and research libraries.
• Conduct ad hoc research and analysis and support other market research initiatives as business priorities evolve.
• Organize all collected intelligence into a document library for future AI ingestion.
• Proactively suggest improvements to research methodologies, data sources, and analytical processes.

Required Skills & Experience

• 4+ years of experience in market research ( competitive intelligence, business analysis, strategy, consulting, or a related analytical role).
• Relevant experience in pharmaceuticals, medical devices, aesthetics medicine, healthcare, or a closely related industry is required.
• Proven experience conducting market, industry, company, or competitor research and analyzing both quantitative and qualitative information.
• Experience analyzing financial performance, business models, market dynamics, or similar business metrics.
• Strong PowerPoint and Excel skills.
• Ability to independently structure research, identify relevant and reliable sources, and synthesize findings into clear business insights.
• Excellent written and spoken English.
• Strong attention to detail, organization, and accuracy.
• Proactive and self-motivated, with the ability to work independently and communicate findings clearly to senior stakeholders.

Nice to have

• Experience with Power BI or other data visualization tools
• Experience analyzing digital and social media presence, brand positioning, or PR strategies.
• Experience preparing presentations and reports for senior or executive leadershi

About Our Client

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

About the Role

We are looking for a Senior Software Engineer to build and operate production AI agent and search services on top of a large-scale data platform. This is hands-on work at the intersection of distributed backend engineering and applied AI: multi-agent workflows, tool-execution infrastructure, retrieval and relevance, and integrations with multiple LLM providers — all running as real, customer-facing production services with the reliability expectations that implies.

Responsibilities

• Design and implement scalable multi-agent workflows (including conversation state), tool-execution infrastructure, and data-aware tools working with catalogs, schemas, lineage, SQL, jobs, semantic metadata, data preparation, and visualizations
• Build search and retrieval capabilities with OpenSearch or equivalent — indexing, relevance tuning, hybrid keyword + vector search
• Integrate multiple LLM/model providers with secure configuration and graceful degradation
• Develop APIs and event contracts across REST, streaming/SSE, gRPC, protobuf, and SDKs, including UI integrations
• Operate, monitor, and improve production services — service health, logs, metrics, traces, search-cluster health, latency, and error rates; participate in the team's production-support model
• Investigate incidents, drive root-cause analysis, and ship durable fixes
• Design for permissions, tool approvals, multi-tenancy, and customer-data governance
• Maintain dependencies, apply security fixes, and reduce tech debt; produce designs, tests, runbooks, and documentation; lead technical discussions and review code

Required Qualifications

• B.S. or M.S. in Computer Science, Computer Engineering, or a related field — or equivalent practical experience
• 7+ years of relevant experience, or equivalent demonstrated senior-level impact
• Strong Java software engineering skills
• Strong grasp of concurrency, data structures, API design, testing, maintainability, and backward compatibility
• Solid background in distributed systems, microservices, cloud services, or data-intensive backends
• Hands-on experience with search technologies — OpenSearch, Elasticsearch, or Lucene — including vector search, embeddings, or relevance systems
• Experience building LLM applications, agent/tool workflows, RAG systems, or model-provider integrations
• Strong production instincts: diagnosing failures via logs, metrics, and traces; designing for fault tolerance, retries, cancellation, and recovery
• SQL and familiarity with data platform concepts: catalogs, metadata, schemas, governance, lineage
• Comfort leading ambiguous, cross-service work with clear stakeholder communication and strong written documentation
• Comfortable with AI-assisted development workflows — using modern AI tools productively while critically validating their output
• English Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team
• Availability to work EU business hours shifted 2–3 hours later for daily overlap with US West Coast mornings

Desired Skills

• LangChain4j or similar agent frameworks
• Python for AI services, evaluation harnesses, or sandboxed execution
• React and TypeScript
• gRPC, protobuf, Quarkus, Kubernetes, MongoDB, KV stores, event-driven architectures
• Apache Arrow, Apache Iceberg, OpenLineage, semantic layers, or data-governance systems
• AI quality evaluation: LLM-as-judge, model benchmarking, production AI metrics
• OpenSearch operations: index lifecycle management, relevance tuning, incident response
• Open-source contributions

Details

• Engagement: Long-term contract
• Location: Europe (EU / EEA / UK), remote
• Working hours: EU business hours, shifted 2–3 hours later for daily overlap with the US West Coast team

We are the creators of a new fintech era!
Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey.
We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT, and VISA.

The future of Web3 starts with you: join us as a Business Analyst.

Requirements:

— 3+ years of experience as a Business Analyst, Product Manager, or Product Owner in a crypto or fintech product company.
— Hands-on experience with user onboarding flows.
— Experience working with third-party integrations and external service providers.
— Experience with analytics, user funnels, funnel optimization, and conversion-related metrics.
— Ability to work with complex and high-risk tasks, identifying the best acceptable solution considering business, technical, regulatory, and risk-related constraints.
— Strong ability to decompose high-impact solutions into clear, manageable delivery steps.
— Experience in delivery planning, prioritization, and coordination of product or operational changes.
— Ability to manage several contexts and initiatives simultaneously without losing focus on priorities.
— Strong communication skills, with the ability to clearly align expectations, explain solutions, and manage stakeholder communication.
— Experience participating in product discovery, including analysis of new scenarios, flows, and business needs.
— Experience communicating with involved stakeholders, conducting demos, presenting solutions, and setting up operational flows.
— Upper-intermediate written and verbal English communication skills (B2+ level).

Responsibilities:
— Be deeply involved in the Onboarding direction, covering the user journey from Visit to First Deposit.
— Analyze and optimize user funnels, including registration, email and phone verification, KYC/KYB, onboarding, activation, and deposit scenarios.
— Prepare functional requirements, user stories, acceptance criteria, and other product documentation required for development.
— Describe business logic for Web, Mobile, and Admin Panel solutions.
— Document API interactions and integration logic together with technical teams.
— Work on integrations with external services and third-party providers.
— Conduct requirement walkthroughs with development teams to ensure a clear understanding of scope, logic, dependencies, and expected outcomes.
— Participate in the discovery of new product initiatives, including analysis of user needs, business goals, risks, and possible implementation approaches.
— Prepare solution proposals for stakeholders, taking into account regulatory requirements, risks, technical feasibility, and business impact.
— Decompose solutions according to product strategy, risk level, regulatory requirements, and delivery priorities.
— Maintain and update the roadmap of onboarding improvements and related product changes.
— Synchronize solutions between two or more services, ensuring consistency of logic, user experience, and implementation approach.
— Identify impacted services and coordinate or delegate the necessary updates to the responsible teams.
— Conduct demos, presentations, kick-offs, and other alignment meetings with stakeholders and delivery teams.
— Define relevant stakeholders for each initiative and ensure clear, timely communication throughout the delivery process.
— Analyze scope, dependencies, and potential impact of proposed changes.
— Identify, highlight, and communicate risks related to product solutions, implementation, regulatory requirements, or operational processes.
— Act as an internal customer for updates in other projects when changes impact the onboarding direction.
— Conduct competitor analysis for new onboarding scenarios, product flows, and user journey improvements.

Would be a plus:
— Experience working with regulatory requirements, AML, Compliance, or Legal-related processes.

Work conditions:
Immerse yourself in Crypto & Web3:
— Master cutting-edge technologies and become an expert in the most innovative industry.
Work with the Fintech of the Future:
— Develop your skills in digital finance and shape the global market.
Take Your Professionalism to the Next Level:
— Gain unique experience and be part of global transformations.
Drive Innovations:
— Influence the industry and contribute to groundbreaking solutions.
Join a Strong Team:
— Collaborate with top experts worldwide and grow alongside the best.
Work-Life Balance & Well-being:
— Modern equipment.
— Comfortable working conditions and an inspiring environment to help you thrive.
— 24 calendar days of paid leave.
— Additional days off for national holidays.

Looking to take your .NET expertise to the next level while working on high-impact FinTech solutions? This role offers the chance to contribute to scalable, cloud-native systems that empower thousands of businesses worldwide.
We’re seeking a Senior .NET Developer to join our team, collaborating with talented engineers, product managers, and designers to deliver innovative financial technology.
At Sigma Software, we work with some of the most forward-thinking companies in the industry. This opportunity will let you grow professionally while making a tangible difference in a fast-paced, regulated environment.

CUSTOMER

Our customer is a leading FinTech company providing embedded financing solutions for platforms and marketplaces. Their mission is to enable businesses to offer flexible credit products to customers, helping SMEs access funding quickly and efficiently.
The customer is recognized for innovation in embedded finance, serving thousands of businesses globally and partnering with major platforms. They operate in a regulated environment with a strong focus on scalability, performance, and security.

PROJECT

The project involves enhancing and expanding customer’s embedded finance platform, which integrates directly into partner services to deliver fast, flexible funding to SMEs. You’ll work on a modern tech stack, building features that improve customer and partner experiences while ensuring reliability in production.
Key Technologies: C#, .NET Core, Angular 18, AWS, CI/CD, Docker/Kubernetes, Kafka/RabbitMQ, Datadog, relational & NoSQL databases

Job Description

• Design, build, and deliver features and projects across C#, .NET Core, and Angular stack
• Write clean, maintainable, and well-tested code (unit/integration/e2e)
• Take ownership of features from requirements breakdown to deployment
• Deploy and monitor services in AWS cloud-native environments
• Handle production issues and incidents with accountability
• Collaborate with Product, Design, and Engineering teams in Agile practices
• Contribute to continuous improvement of systems and processes

Qualifications

• 5+ years of experience in software development with strong OOP and system design skills
• Solid hands-on experience with .NET (C#) and Angular
• Understanding of software testing concepts and practices
• Expertise in cloud-native and DevOps practices (CI/CD, automation, monitoring)
• Experience with relational and NoSQL databases
• Knowledge of non-functional requirements (performance, security, availability)
• Proven experience in FinTech, payments, banking, or regulated financial environments
• Upper-Intermediate English level or higher

WILL BE A PLUS

• Experience with Docker/Kubernetes
• Familiarity with event-driven architectures (Kafka, RabbitMQ)
• Proficiency with observability tools (Datadog or similar)
• Knowledge of domain-driven design (DDD) and complex domain modeling

PERSONAL PROFILE

• Growth mindset, curiosity, and proactivity
• Strong problem-solving skills balancing complexity and simplicity
• Feedback-oriented, open to giving and receiving constructive input
• Ownership & accountability in delivering commitments
• Team player with strong collaboration skills
• Adaptability to changing priorities
• Excellent communication skills across disciplines

Level: Senior Engagement: Long-term contract Location: Europe (EU / EEA / UK), remote Working hours: EU business hours, shifted 2–3 hours later to ensure daily overlap with US West Coast (PST/PDT) mornings

About the Client

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

About the Role

We are looking for a Senior SDET to lead the design of automated test frameworks and testing strategy for a large-scale distributed data platform. You will own the quality of the query engine, connectivity layer, and backend services end-to-end — from framework architecture through CI/CD infrastructure across all major clouds — and mentor middle engineers on the team.

This is a data-heavy, backend-focused role. We are not looking for web/UI QA engineers — the work centers on validating distributed query execution, data correctness at scale, connectivity drivers, and backend microservices.

Responsibilities

• Architect, design, and evolve automated test frameworks in Python / pytest for backend services, REST APIs, and distributed data components.
• Define testing strategy for new features and platform components — coverage, risk assessment, and quality gates.
• Own end-to-end, integration, performance, and regression testing covering SQL query execution, data correctness at scale, and platform APIs.
• Lead performance and load testing efforts with JMeter, including workloads over JDBC / ODBC / Arrow Flight drivers.
• Design and validate large-scale data testing scenarios — query plans, result correctness across heterogeneous data sources, metadata consistency, and behavior under high concurrency.
• Own CI/CD test pipelines in Jenkins — architect, maintain, and continuously improve.
• Provision and manage test environments in Kubernetes (GKE / EKS / AKS) across GCP, AWS, and Azure using Docker; drive automation and reproducibility.
• Investigate complex, cross-layer failures and drive root-cause analysis with engineering.
• Mentor middle SDETs, review test designs, and set quality standards across the team.
• Partner with US-based development leads on shift-left practices, testability, and release readiness.

Required Qualifications

• Education: B.S. or M.S. in Computer Science, Computer Engineering, or a related technical field.
• Programming: Strong proficiency in Python, including pytest, with deep understanding of OOP, software design principles, and test framework architecture.
• SQL & Data: Advanced SQL skills and strong understanding of relational and analytical data systems, including query execution internals.
• Data-intensive testing experience: Demonstrated experience testing data-intensive systems — query engines, ETL/ELT pipelines, streaming platforms, or analytical databases. Candidates with only web/UI QA backgrounds are not a fit.
• Testing experience: 5+ years in backend/system test automation, with demonstrated ownership of test strategy and infrastructure.
• CI/CD & DevOps: Solid experience architecting and maintaining Jenkins pipelines and test environments.
• Containers & Orchestration: Strong working knowledge of Docker and Kubernetes (running workloads, debugging pods, deploying complex environments).
• Cloud: Hands-on experience with at least one major cloud (GCP, AWS, or Azure); exposure to more than one is a strong plus.
• Version Control: Confident with Git / GitHub workflows and code review practices.
• English: Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team.
• Availability: Able to work EU hours with a 2–3 hour shift toward US West Coast time to ensure daily overlap with the client team.
• Leadership: Prior experience mentoring engineers, defining test strategy, or leading a QA/SDET function.

Desired Skills

• Deep experience testing REST APIs and backend microservices at scale.
• Hands-on with distributed computing frameworks (e.g., Apache Spark, Kafka) and MPP SQL query engines (e.g., Presto, Trino, or similar).
• Strong understanding of modern data lakehouse concepts, open table formats (Apache Iceberg), and data warehousing.
• Experience with data connectivity drivers: JDBC, ODBC, Arrow Flight.
• Performance testing with JMeter or comparable load-testing tools at production scale.
• Kubernetes on managed services (GKE / EKS / AKS) and multi-cloud exposure.
• IaC tools such as Terraform.
• Deep understanding of query plan generation, query acceleration / materializations, and metadata integrity in distributed data systems.
• Prior experience leading a QA/SDET function in a data-platform or database engineering environment.
  Please note: We can consider only candidates currently residing in the EU, EEA, or the UK.

Level: Middle Engagement: Long-term contract Location: Europe (EU / EEA / UK), remote Working hours: EU business hours, shifted 2–3 hours later to ensure daily overlap with US West Coast (PST/PDT) mornings

About the Client

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

About the Role

We are looking for a Middle-level SDET to design and maintain automated tests for a large-scale distributed data platform. You will validate the correctness, performance, and reliability of the query engine, connectivity layer, and backend services across all major clouds.

This is a data-heavy, backend-focused role. We are not looking for web/UI QA engineers — the work centers on validating distributed query execution, data correctness at scale, connectivity drivers, and backend microservices.

Responsibilities

• Develop and maintain automated tests in Python / pytest for backend services, REST APIs, and distributed data components.
• Write end-to-end, integration, and regression tests covering SQL query execution, data correctness, and platform APIs.
• Support performance and load testing with JMeter, including workloads over JDBC / ODBC / Arrow Flight drivers.
• Validate data-intensive scenarios — query plans, result correctness across data sources, metadata consistency, and behavior under concurrency.
• Contribute to CI/CD test pipelines in Jenkins — configure, maintain, and troubleshoot.
• Provision and manage test environments in Kubernetes (GKE / EKS / AKS) across GCP, AWS, and Azure using Docker.
• Investigate failures across the stack — query engine, distributed services, drivers, infrastructure — and drive them to resolution with engineering.
• Collaborate with US-based developers on testability and quality gates.

Required Qualifications

• Education: B.S. or M.S. in Computer Science, Computer Engineering, or a related technical field.
• Programming: Strong proficiency in Python, including pytest, with a solid grasp of OOP and software design principles.
• SQL & Data: Strong SQL skills and solid understanding of how relational and analytical data systems work.
• Data-intensive testing experience: Hands-on experience testing data-intensive systems — query engines, ETL/ELT pipelines, streaming platforms, or analytical databases. Candidates with only web/UI QA backgrounds are not a fit.
• Testing experience: 3+ years in backend/system test automation or SDET roles.
• CI/CD & DevOps basics: Practical experience with Jenkins pipelines and deploying/maintaining test environments.
• Containers: Working knowledge of Docker and basic Kubernetes (running workloads, debugging pods, kubectl fluency).
• Cloud: Comfortable operating in at least one major cloud (GCP, AWS, or Azure).
• Version Control: Confident with Git / GitHub workflows.
• English: Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team.
• Availability: Able to work EU hours with a 2–3 hour shift toward US West Coast time to ensure daily overlap with the client team.

Desired Skills

• Experience testing REST APIs and backend microservices at scale.
• Familiarity with distributed computing frameworks (e.g., Apache Spark, Kafka) and MPP SQL query engines (e.g., Presto, Trino, or similar).
• Understanding of modern data lakehouse concepts, open table formats (Apache Iceberg), and data warehousing.
• Experience with data connectivity drivers: JDBC, ODBC, Arrow Flight.
• Performance testing with JMeter or comparable load-testing tools.
• Kubernetes on managed services (GKE / EKS / AKS) and multi-cloud exposure.
• IaC tools such as Terraform.
• Understanding of query plan generation, query acceleration / materializations, and metadata integrity in distributed data systems.
  Please note: We can consider only candidates currently residing in the EU, EEA, or the UK