Jobs

Location: Remote
Employment: Full-time
Industry: iGaming

About the Project

We are launching a new iGaming project focused on Canada, Australia, and New Zealand, backed by an international holding with strong financial resources and operational expertise.

We are looking for a CMO with strong hands-on iGaming experience who can build the marketing function from the ground up, define the acquisition strategy, assemble the right team and partners, and take ownership of growth across Tier-1 GEOs.

This is a role for someone who has already worked with casino/betting products, understands acquisition economics, and can combine strategic leadership with hands-on execution.

What You'll Do

• Build and own the overall marketing and acquisition strategy from scratch
• Launch and scale player acquisition across Canada, Australia, and New Zealand
• Develop affiliate, paid acquisition and other relevant traffic channels
• Build relationships with affiliate partners, networks and key market players
• Define marketing budgets, forecasts and acquisition targets
• Own core performance metrics: FTD, CPA, ROI/ROMI, LTV, NGR, conversion and retention
• Analyze channel performance and continuously optimize acquisition economics
• Build and manage the marketing team as the project scales
• Work closely with Product, CRM/Retention, Analytics and management
• Participate in positioning, market-entry strategy and overall commercial growth

What We're Looking For

• Senior marketing leadership experience in iGaming: CMO, Head of Marketing, Head of Acquisition, Head of Growth or similar
• Strong experience with online casino and/or betting products
• Proven experience launching or significantly scaling acquisition
• Strong expertise in affiliate marketing and understanding of other performance channels
• Experience working with Tier-1 markets, ideally Canada, Australia and/or New Zealand
• Strong understanding of iGaming unit economics and marketing KPIs
• Experience managing budgets, partners and marketing teams
• Ability to build processes and strategy in an early-stage / launch environment
• English sufficient for working with international partners and markets

Job Description

Bachelor's or Master's degree in Computer Science, Software/Biomedical Engineering, or a related field.
12+ years in software engineering services or product R&D, including 3+ years in technical presales, solution architecture, or consulting.
Strong MedTech background: hands-on experience delivering or selling regulated medical device software (SaMD/SiMD) under IEC 62304, ISO 13485, and ISO 14971.
Working knowledge of FDA (510(k), De Novo, PCCP, cybersecurity premarket guidance) and EU MDR/IVDR requirements and how they shape scope, estimates, and delivery models.
Practical expertise in AI/GenAI for healthcare: AI-enabled medical devices, the ML lifecycle under regulatory constraints, LLM/agentic solutions, and AI-assisted SDLC.
Demonstrated ability to own a market segment or solution area, including offering definition, positioning, and pipeline generation, without direct reports.
Ability to build solution architectures, estimates, and delivery models, and defend them in front of client engineering and procurement.
Solid grasp of modern engineering: cloud (AWS/Azure/GCP), connected devices and IoT, embedded, and data platforms.
Executive presence and storytelling skills, comfortable with VP/C-level audiences at medical device and healthcare companies.
Willingness to travel across EMEA and occasionally to North America.
English at C1 level or higher.

Nice to Have
Familiarity with the EU AI Act, FDA AI/ML guidance (including PCCP), and GMLP, and their impact on AI product development.
Experience with healthcare interoperability (HL7, FHIR, DICOM, IHE) and hospital IT (HIS, LIS, PACS).
Familiarity with IEC 81001-5-1, IEC 60601-1, and GDPR/HIPAA implications for device and AI software.
Established network among EMEA MedTech OEMs, diagnostics, or healthtech companies.
Background at a medical device manufacturer (R&D, Quality, or Regulatory) in addition to services experience.
Additional EMEA languages (German, French, Italian, Nordic, or Polish).
Proven track record of winning large, complex deals (multi-million EUR/USD, multi-year) through RFPs, RFIs, and proactive proposals.

Job Responsibilities

• Own and grow assigned MedTech segments in EMEA (e.g., diagnostics and lab automation, imaging, digital surgery, connected care, hospital IT), including segment strategy, target accounts, and pipeline.
• Drive assigned solution areas (e.g., AI-enabled devices, AI-assisted regulated SDLC, cybersecurity, interoperability) and define offerings, reference architectures, and go-to-market messaging.
• Lead the technical solution for strategic pursuits: discovery, solution design, estimation, delivery model, and risk assessment.
• Drive RFP/RFI responses and proactive proposals end to end, ensuring regulatory framing, compliance approach, and credible team ramps.
• Position GlobalLogic's AI capabilities in every relevant pursuit, including AI features in devices, GenAI/agentic solutions, and AI-accelerated engineering, in a regulation-aware way.
• Shape and evangelize healthcare AI accelerators and reusable components, and translate them into client value propositions and demos.
• Partner with Sales, Client Partners, and Delivery to shape deals, define win themes, and support pricing and commercial structuring.
• Lead client workshops, orals, and executive presentations as a senior technical voice for GlobalLogic in Healthcare & MedTech.
• Mentor architects and SMEs involved in pursuits within owned segments, providing technical direction without formal line management.
• Build thought leadership through whitepapers, webinars, and industry events on MedTech engineering and AI.

Department/Project Description

Role summary: A senior individual-contributor role driving GlobalLogic's technical presales for Healthcare & Medical Devices in EMEA. You will own selected MedTech segments and solution areas end to end, from market positioning and offering development to technical leadership of pursuits. You will act as a trusted advisor to client R&D, Quality/Regulatory, and C-level stakeholders, with AI as a core part of every solution story.

Skill Category

Management

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 Team Lead GO to join our team!

Requirements:

- 3+ years of development experience with Go;

- Strong time management and organisational skills;

- Ability to design and implement scalable and reliable software solutions;

- Excellent problem-solving skills;

Git, GitLab, GitLab CI;

- Experience with multiple databases (RDBMS, NoSQL, Redis) and messaging services (Kafka, NATS), ideally run in a cloud environment;

- Strong system design skills;

REST/RPC transports;

- Practical knowledge of containers (Docker, Kubernetes);

- Experience with microservices design and development;

- Understanding of the importance of a well-organised codebase and documentation;

- Strong analytical skills and an open-minded, creative team player mindset;

- English: Upper-Intermediate.

Will be plus:

- Understanding of event-driven architecture;

- Understanding of Twelve-Factor App methodology;

CloudEvents;

- Experience working with cloud services (GCP/AWS);

- GitOps;

- Terraform;

- Helm/ArgoCD;

- Grafana/Tempo/Loki + Prometheus;

- High-load systems;

- Experience coordinating complex third-party dependencies.

Soft Skills

- Responsibility;

- Sociability;

- Proactivity;

- Self-organization.
 

Responsibilities:

- A Team Lead is the day-to-day technical coordinator of a specific team, acting as the execution arm of the EM and ensuring that the team is focused, unblocked, and working efficiently toward shared goals.

- They ensure smooth operation, coordination, and quality within the team, while escalating architectural, technical, or people matters to the EM.

- They are accountable for team delivery, individual growth, and operational excellence within their scope.

Technical Leadership, Ownership & Support:

- Own the day-to-day technical execution within the team, from new features to bug fixes and quality improvements.

- Ensure the team's code quality through reviews and enforcement of best practices (testing, security, maintainability). 

- Drive code reviews, enforce coding standards, promote testing and documentation, and help the team write robust, production-ready code.

- Support and contribute to hands-on coding and testing. Lead by example through hands-on development, particularly for complex or critical features.

- Own delivery of team components and backend capabilities as defined in sprint goals.

- Facilitate design discussions within the team; escalate complex architecture topics to EM or Architect.

- Raise and track technical debt; provide input to the EM for prioritization.

- Facilitate task prioritization, workload balancing, and sprint planning. - Track progress, identify risks, and resolve blockers.

Planning & Delivery Coordination:

- Ensure alignment with PMs, QA, DevOps, and BAs on deliverables. 
- Work closely with PMs, EMs, QAs, and BAs to ensure that deliverables are clearly understood, scoped, and assigned.

- Break down work items into deliverable tasks in collaboration with PMs and EMs, balancing workload fairly across developers and helping manage priorities during sprints.

- Actively participate in sprint planning, stand-ups, and retrospectives.

Monitor team progress and adjust scope or priorities when needed, escalating blockers to the EM.

- Maintain transparency on delivery status and keep stakeholders informed of changes, delays, or challenges.

- Coordinate hand-offs and dependencies within the team and with adjacent teams.

People Leadership & Development:

- Directly manage engineers on the team (Juniors, Middles, Seniors).

- Conduct 1:1s, performance evaluations, career growth discussions, and coaching.

- Provide day-to-day mentoring and guidance to developers, especially junior and mid-level engineers, by answering questions, sharing context, and offering feedback.

- Foster a positive and inclusive team culture; ensure psychological safety, motivation, and team morale.

- Participate in team growth activities, including hiring, interviewing, candidate evaluation, and onboarding of new engineers.

- Identify talent and growth opportunities; support professional development. 

- Partner with EM and Domain Lead to hire, onboard, and retain high-quality engineers.

- Encourage a sense of ownership and pride in the team's work; celebrate wins and learn from failures together.

Communication & Reporting:

- Keep EM and PM informed of team progress, risks, and dependencies.

- Share updates from EM or domain leads with the team.

- Act as the go-to person for team-level updates in cross-team syncs or sprint reviews.

- Participate in cross-team discussions to ensure alignment with domain strategy and priorities.

Success Criteria:

- The team consistently delivers on commitments with high quality.

Engineers are growing in skills and autonomy.

- The team operates efficiently, collaborates effectively, and maintains a healthy culture.

- Stakeholders trust the team for delivery, transparency, and problem-solving.

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

WHAT YOU'LL DO:
Discovery & requirements
- Engage business stakeholders directly to elicit, clarify, and document business requirements.
- Turn ambiguous problems into clear, testable requirements — using AI to accelerate research, drafting, and gap analysis.

Solution design & specification
- Produce technical solutions and specifications: data models, API contracts (OpenAPI), service boundaries, sequence and architecture diagrams.
- Make sound architecture decisions aligned with our microservices, event-driven, and security-first principles, and document the trade-offs.

Build (backend / frontend / mobile)
- Implement backend services in Python and/or Golang on PostgreSQL, with appropriate messaging (Kafka) and caching.
- Build web frontends (Vue/Nuxt or React) and, where needed, mobile features (Android/Kotlin, iOS/Swift).
- Write reusable, testable, efficient code, using AI coding agents to move fast while keeping the codebase clean and reviewable.

Test & quality
- Design and execute meaningful test coverage — unit, integration, API, and end-to-end — leveraging AI-assisted test generation and review.
- Own quality end to end: you are the developer *and* the tester, and "done" means verified.

Ship & operate
- Deliver through our CI/CD pipelines and infrastructure as code.
- Build observability in at design time (metrics, logs, tracing) and support what you ship.
 

• 
  HOW WE WORK
  - Stack: AWS, Kubernetes, Python & Golang, PostgreSQL, Kafka, Vue/Nuxt & React, Android/iOS, Terraform/Ansible, GitLab CI/CD.
  - Principles: clear and maintainable architecture, security-first, scalability and reliability, high observability and automation, cloud-native and microservices-oriented design, and a strong focus on performance, resilience, and operational excellence.
  - AI-native by default: we expect AI to be part of how you think, design, build, and test — used deliberately and responsibly.
  
  WHAT SUCCESS LOOKS LIKE:
  Within your first few months, you independently take a real business need through the full cycle — requirements, spec, implementation across the relevant layers, tests, and a production release with observability — at a speed and quality that would traditionally have required a small team, and you help the rest of engineering raise its AI fluency along the way.

You'll lead product design at SkinnyRx end-to-end — from defining the problem and shaping the product direction to shipping polished UI.

This is a Lead Product Design role with a strong UI focus. You'll set the bar for visual craft across the product while working shoulder-to-shoulder with our Head of Product and executive team on what we build, why we build it, and how it comes to life.

AI is deeply embedded in how we work. You'll use it across the entire design process — from exploration and content generation to prototyping and production.

What you'll do

• Own product design end-to-end across the SkinnyRx app and web — from problem definition and UX flows to final shipped UI
• Set and evolve the visual design bar for the product, creating a cohesive, high-quality experience across onboarding, patient dashboards, intake, billing, and content surfaces
• Partner directly with the Head of Product and executive team to shape product direction, prioritize opportunities, and turn ideas into shipped experiences
• Generate and art-direct AI-produced content — product imagery, illustration, lifestyle photography, micro-animations, and video — at a quality that feels intentional and distinctly SkinnyRx
• Prototype interactively — in Figma when precision matters and in code via AI tools when realism and speed matter
• Build systems and patterns that let the team move quickly without sacrificing craft or consistency

• Partner closely with engineering, copy, and marketing through tight, iterative shipping cycles

   

What we're looking for

• 5+ years in product design, with experience owning meaningful consumer product experiences end-to-end
• A standout UI portfolio demonstrating exceptional visual craft and shipped consumer work
• Strong product judgment — you can move beyond executing requirements and help determine what should be built and why
• The ability to operate independently and lead through the work, bringing back thoughtful options rather than blockers
• Deep, daily use of AI throughout your workflow, including:
  • Imagery & video: Midjourney, Sora, Runway, Kling, Nano Banana
  • Code prototyping: Cursor, Claude Code, Codex
  • Design & production: Figma AI, MCP-based workflows

• Comfort moving between product thinking, interaction design, visual design, prototyping, and production details

   

Why join SkinnyRx

• High ownership and direct influence over the product and design direction
• Work closely with the people making product and technology decisions
• A culture of shipping weekly rather than designing in isolation
• AI-native workflows with a generous tooling budget — if a tool makes you better or faster, we want you using it
• Fully remote and async-friendly, across time zones
• Compensation scaled to your level

About the Role

We’re looking for an experienced Forward Deployed Engineer (FDE) to build and deploy real-world AI solutions for international clients.

This role combines strong software engineering skills with a practical understanding of business needs.

You’ll work directly with clients, understand their challenges, design technical solutions, and take AI-powered applications from concept to production.

We’re looking for someone who can do more than write code — someone who can take ownership and make things work.

What You’ll Do

• Work directly with clients to understand their business needs and technical requirements.
• Design, build, and deploy AI-powered applications and integrations.
• Develop LLM-based solutions, RAG pipelines, and AI agents.
• Integrate AI solutions with existing APIs, databases, and enterprise systems.
• Build scalable backend services and production-ready infrastructure.
• Own the full implementation cycle, from discovery and prototyping to production deployment.
• Troubleshoot technical challenges and continuously improve deployed solutions.

Requirements

• 5+ years of software engineering experience.
• Strong Python development skills.
• Experience with backend development, APIs, and system architecture.
• Hands-on experience with LLMs (OpenAI, Anthropic, or open-source models).
• Practical knowledge of RAG, AI agents, and LLM integrations.
• Experience with cloud platforms (AWS, GCP, or Azure).
• Docker, CI/CD, and production deployment experience.
• Strong problem-solving skills and ability to work independently.
• Comfortable communicating directly with international clients.
• English B2+.

Nice to Have

• Experience with LangChain, LangGraph, or similar frameworks.
• Experience with vector databases (Pinecone, Weaviate, Qdrant, pgvector).
• Kubernetes and distributed systems.
• Data engineering or ML infrastructure background.
• Experience as a Solutions Engineer, Solutions Architect, or Technical Consultant.
• Previous experience in client-facing engineering roles.

UK, hybrid (fully remote within Europe considered for a 100% fit)  ·  Full-time, 12 weeks initial, extension up to 6 months.

A B2B SaaS platform is kicking off a rapid AI enablement programme. They need a hands-on senior lead to take identified automations from idea to production, measured, governed and actually adopted by teams. The role sits within product engineering. It starts with Product, QA and Solutions delivery, then scales into a reusable orchestration framework across the business.

This is a high-ownership role: one named lead, personally accountable for delivery, stakeholder alignment and handover.

What you’ll do

- Assess and push forward a few in-flight automations, then deliver a portfolio of agentic workflows: QA & test generation, bug triage, requirements, solution implementation, docs, prototyping

- Design the target architecture: how people, agents and existing systems share work, using reusable integration/orchestration patterns

- Build in the guardrails: evals & thresholds, human approvals, audit trails, monitoring, failure handling

- Set baselines and measure real impact (not demo metrics)

- Train internal owners and hand over maintainable, documented workflows

Must have

- Personally designed and shipped production agentic / multi-step LLM workflows in a SaaS or software company, with measurable outcomes

- Strong hands-on Python or TypeScript + AWS in production; integrations across APIs, databases, events, queues

- Evals, observability, access control, human-in-the-loop design; MCP & secure tool integration

- Ability to select and govern AI models/tools (data handling, retention, security, limitations)

- AI-assisted SDLC with proper quality controls

- Credible with both executives and engineering teams

Nice to have

Laravel/PHP (existing platform) · multi-tenant SaaS · Amazon Bedrock / AgentCore · Google ADK, Strands or similar · AWS serverless (Lambda, SQS, Step Functions, EventBridge) · GDPR, ISO 27001, SOC 2, ISO 42001 environments

Probably not a fit if your AI experience is POCs/demos only, advisory without hands-on coding, or primarily ML research/model training.

Be ready to show: real production examples with before/after results, an architecture you personally designed, one production failure and how you fixed it, and a reference.

About Vernius
 

Vernius Systems is a U.S. defense technology company developing compact radar systems for autonomous drone interception.

We are building an engineering team in Kyiv to integrate our radar technology with Ukrainian interceptor platforms, work directly with local airframe partners, and conduct flight testing in Ukraine.

We are looking for a highly experienced GNC engineer who can take ownership of interceptor integration in Ukraine and become the technical point person for the local team.

What you’ll do

• Develop and modify guidance, navigation, and control firmware for interceptor UAVs.
• Integrate Vernius radar systems with existing interceptor flight-control stacks.
• Work with ArduPilot, Betaflight, PX4, or custom autopilot systems.
• Develop and tune guidance and flight-control logic for high-speed UAV interception.
• Integrate radar tracking data into interceptor guidance systems.
• Analyze flight telemetry and debug guidance, control, and integration issues.
• Plan and conduct flight tests together with Ukrainian interceptor manufacturers.
• Work directly with airframe partners to integrate Vernius systems into their platforms.
• Diagnose problems across the full interceptor stack: sensors, firmware, flight controller, communications, airframe, and guidance.
• Coordinate technical integration in Ukraine when the CEO is not on-site.
• Work closely with the FPV/CAD engineer during prototyping and flight testing.

• Help shape the architecture and technical direction of Vernius integrations in Ukraine.

   

What we’re looking for

• Hands-on experience developing autopilot, GNC, or flight-control systems for UAVs, autonomous aircraft, or missiles.
• Strong understanding of guidance, navigation, flight dynamics, and control systems.
• Production-level C/C++ experience.
• Practical experience with at least one of:
  • ArduPilot
  • Betaflight
  • PX4
  • custom UAV autopilot systems
• Experience integrating and debugging sensors and flight-control hardware.
• Experience analyzing real flight logs and telemetry.
• Hands-on flight-testing experience.
• Strong understanding of the UAV stack end-to-end.
• Ability to solve system-level problems rather than working only within one software component.
• Ability to communicate directly with the U.S. engineering team in English.
   

English

• B2 or higher, sufficient for direct technical communication with the U.S. engineering team.
• You should be comfortable discussing technical decisions, explaining problems, participating in engineering calls, and reading/writing technical documentation in English.
   

Strong advantages

• Experience with interceptor UAVs or other high-speed autonomous aircraft.
• Experience developing an autopilot from the ground up.
• Missile guidance or terminal guidance experience.
• Sensor fusion / state estimation.
• EKF/Kalman filtering.
• MAVLink.
• SITL/HIL simulation.
• Radar or computer-vision guidance.
• Experience working directly with Ukrainian defense manufacturers or military units.
• Previous technical leadership or system ownership.
   

Who this role is for

We are not looking only for a strong embedded developer or control-theory specialist.

The ideal candidate has built real autonomous aircraft systems, taken them into the field, analyzed failures, modified the software or hardware, and iterated until the system worked reliably.

You should be comfortable understanding the entire chain from sensor input to guidance logic, flight controller, actuators, airframe behavior, and real-world flight performance.

This person will have significant technical ownership and can grow into the technical lead for Vernius’s Ukrainian engineering team.

Overview:

SOFTSWISS is looking for an Infrastructure Security Team Lead to lead the Infrastructure Security team within a high-load international iGaming company operating remotely across regulated markets.

Purpose of the role:

You will be responsible for leading and developing the Infrastructure Security Team, defining priorities, establishing scalable security processes, and driving infrastructure security outcomes across the organization. The role combines team leadership with strong technical guidance to support security decision-making across infrastructure domains.

Key responsibilities:

• Lead, coach, and develop the Infrastructure Security team, ensuring clear ownership, accountability, and strong execution
• Define and drive the Infrastructure Security strategy, roadmap, standards, and operating model.
• Prioritize team initiatives based on security risk, business impact, engineering capacity, and regulatory requirements
• Guide security across infrastructure environments, including cloud platforms, Kubernetes, endpoints, privileged access management, remote access, and vulnerability management
• Build scalable processes for risk prioritization, remediation tracking, and cross-functional collaboration
• Partner with Engineering, Product, Infrastructure, and Security teams to integrate security early and improve execution

• Communicate infrastructure security risks, priorities, trade-offs, and progress clearly to technical teams and leadership

   

Required Experience:

• 5+ years of experience in cybersecurity, including experience leading and managing technical security teams
• Strong background in Infrastructure Security, Cloud Security, or Platform Security
• Experience translating security goals into clear roadmaps, priorities, ownership models, and measurable outcomes
• Proven leadership skills with experience in coaching, delegation, feedback, and team development
• Ability to influence stakeholders and drive change across cross-functional teams
• Strong communication skills with the ability to engage both technical and non-technical audiences
• Upper-Intermediate or higher English level

• Upper-Intermediate or higher Russian level

   

Nice to have:

• Experience securing infrastructure in high-risk or regulated environments such as iGaming, Crypto, FinTech, or similar industries.
• Experience maturing a security function from reactive execution to a structured, scalable security program.
• Experience leading distributed or fully remote technical teams.
• Hands-on experience with Zero Trust models, secure remote access, AWS, OCI, and Google Workspace Security.

• Experience with digital asset or cryptocurrency infrastructure security

   

Our Benefits:

• Private health insurance
• Sports benefits
• Comprehensive Mental Health Program
• Free English lessons (online)
• Local language courses
• Paid time off
• Maternity leave support
• Referral program rewards
• Upskilling, internal workshops, and participation in professional conferences and corporate events

We are looking for a Senior Data Engineer to join a project in the tech capital of the world – Silicon Valley.
 

17:00–02:00 Kyiv time = 7:00–16:00 Pacific Time (PST/PDT).
 

Project Idea

The project was founded back in 2014 with the goal of connecting private and government universities with regular people like we are. You have a variety of auditoriums, gyms, classrooms, and other venue options available for community use –
schedule facility uses and manage requests from the community all in one place.

Just imagine that you’re a football player and you can rent a football field at Harvard to play with your friends. Amazing, right?

Must have:

• 5 + years of experience in Data Engineering or related roles;
• Strong SQL skills and hands-on experience with PostgreSQL (including Aurora Serverless);
• Solid knowledge of Python for data processing and automation;
• Experience building and maintaining ETL/ELT pipelines using cloud-native tools (e.g., AWS Lambda, S3, SQS);
• Proven experience working with MongoDB and MongoDB Atlas, including event-driven architectures using Atlas Triggers, Stream Processing;
• Proficiency with dbt for building modular, testable, and well-documented data transformation workflows;
• Good understanding of data modeling principles for OLAP/OLTP systems, including normalization and dimensional modeling;
• Demonstrated experience designing and implementing data warehouses and data marts;
• Working knowledge of Node.js, particularly in backend logic tied to data ingestion or transformation workflows;
• Familiarity with cloud data platforms (e.g., AWS) and serverless computing patterns;
• A technical degree (e.g., Computer Science, Engineering, Math) is a plus;
• Upper-Intermediate English or higher for effective communication and documentation.

Soft skills:

• Proactive – you take ownership and act without waiting for direction;
• Detail-oriented – you deliver accurate, high-quality work;
• Initiative-driven – you’re eager to improve processes and take action.

Responsibilities:

• Design, implement, and maintain scalable and reliable data pipelines using Python, dbt, and AWS Lambda;
• Build and optimize data architectures to support analytics, reporting, and machine learning use cases, including data warehouse and data mart modeling on PostgreSQL (Aurora Serverless);
• Develop and manage ELT workflows that extract data from MongoDB (using Atlas triggers) and load into staging and production layers in PostgreSQL;
• Ensure data consistency and lineage by applying robust data quality checks, auditing, and reconciliation logic;
• Collaborate with cross-functional teams to gather data requirements, understand business logic, and translate them into efficient data models and transformations;
• Monitor and troubleshoot SQS/Lambda-based ingestion pipelines, addressing issues related to concurrency, message processing, and data duplication;
• Contribute to the semantic layer design used by BI and reporting tools to ensure consistency and accessibility of business metrics;
• Maintain and evolve dbt models (staging, intermediate, and marts) aligned with software engineering and analytics best practices;
• Drive continuous improvement in data engineering processes and data governance standards, ensuring scalability, maintainability, and security.

Swarmer develops software that makes drones autonomous and allows them to operate together, in large, coordinated teams — no pilots needed. Our technology has been battle-tested in Ukraine— the world’s most intense proving ground for drone warfare.

In March 2026, we became the first Ukrainian defense startup to go public on NASDAQ, following a $15M Series A — the largest investment in a Ukrainian defense tech company since the start of the war.

Working at Swarmer means operating at the intersection of engineering rigor and frontline reality. The problems and environments are complex, and the stakes are very real. We built this software to enable democratic nations to defend themselves.

If you are motivated by building resilient systems that matter and by seeing the direct impact of your work, you’ll find purpose here.

What we’re looking for:

We're looking for an experienced Cybersecurity Engineer to join our team. You'll be responsible for defending our endpoints, identities, SaaS stack, networks, and cloud environment against the people actively trying to breach them. Product security lives with a separate team, so your focus stays sharp: keep the corporate perimeter tight.

This is a builder's role, not a maintainer's. You'll stand up and run our detection stack (SIEM/SOAR, EDR), lock down and manage the device fleet (MDM, hardening), and design identity controls built on ZeroTrust principles (SSO, MFA, ZTNA).

You won't be handed a mature security program to babysit. You'll design it, implement it, and operate it, with recognized frameworks as your guardrails and real-world attack patterns as your test cases.

What you’ll do:

• Own and continuously improve our SIEM/SOAR capabilities, including log source onboarding, detection rules and correlation logic, alert tuning, dashboards, automated response workflows, and integration across the security stack
• Monitor and analyze security events and logs to catch anomalies and potential threats; investigate, contain, and remediate incidents, documenting timelines, root causes, and lessons learned
• Deploy and manage endpoint and server protection across the fleet (EDR/NGAV, MDM), including policy enforcement, compliance configuration, and hardening baselines (encryption, security policies, benchmarks)
• Implement and operate identity and Zero Trust access controls, including SSO, MFA, conditional access, ZTNA, device posture checks, RBAC, least privilege, privileged access management, and periodic access reviews
• Manage vulnerabilities across endpoints, servers, and cloud, with risk-based prioritization and remediation tracking
• Monitor cloud and SaaS security posture, remediate misconfigurations, and review third-party integrations and access scopes
• Review infrastructure projects and architecture from a security lens, ensuring secure-by-default configurations
• Document technical security controls (runbooks, hardening guides) and support internal and external audits

What we need:

• 4+ years of hands-on experience in cybersecurity or IT infrastructure engineering, with a clear specialization in security
• Hands-on experience with SIEM/SOAR platforms, covering log source integration, detection engineering, alert investigation, and security automation
• Hands-on experience with EDR/NGAV platforms, covering endpoint policy management, detection, investigation, and response
• Experience hardening and managing endpoints across Windows, macOS, and Linux, including MDM platforms
• Experience with identity and Zero Trust access technologies, including SSO, MFA, conditional access, device posture, and ZTNA
• Solid grasp of networking fundamentals (TCP/IP, DNS, DHCP, VPN), with practical experience configuring firewalls and other network security controls
• Working knowledge of common attack techniques and how to detect and prevent them
• Practical familiarity with recognized security frameworks and standards (e.g., CIS, NIST, MITRE ATT&CK)
• Strong risk-assessment instincts, with the ability to prioritize pragmatically and explain technical issues clearly to non-technical colleagues
• English proficiency, for documentation, vendors, and external partners

Would be an advantage:

• Scripting ability for automating security and infrastructure tasks (Python, Bash, PowerShell, or SOAR playbooks)
• Experience with vulnerability management platforms
• Working knowledge of cloud and SaaS security controls (e.g., CSPM/SSPM)
• Relevant security certifications
• Experience working in enterprise or critical-infrastructure environments

What you’ll get:

• Professional growth through working with cutting-edge defense technologies and exposure to international security best practices.
• Direct impact: your work protects systems that operate in real, high-stakes environments.
• A fast-paced environment with minimal bureaucracy and no “process for the sake of process”.
• Competitive salary and a comprehensive benefits package (insurance, paid sick leave, 20 paid days off per year).
• Benefits of the defense sector (e.g., reservation, etc.).
• Flexible remote work options where possible.

How’s the hiring process going:

✔️ Recruiter Screen → ✔️ Technical Interview → ✔️ Final Interview → ✔️ Security check → ✔️ Offer

Ready to Apply?

About the role 

We are looking for a Solution Architect to join the Lead Architect on a healthcare client engagement: first as a hands-on partner during discovery, then as the architect who owns and leads the implementation. Typical projects are modernization of medical information systems (MIS/EHR), building new digital health products and platforms, and integrating the fragmented systems of clinic and hospital networks. 

How the role evolves: 

1. Discovery: work side by side with the Lead Architect: workshops, as-is analysis, target architecture, roadmap, estimate. 

2. Implementation: take ownership of the architecture and lead the technical side of delivery within a dedicated team (Delivery Director, PM, engineers). 

    

Responsibilities 

• Co-run workshops with client business and IT; analyze the as-is landscape: systems, data flows, integrations, infrastructure, databases. 
• Own selected discovery streams end to end (e.g. integrations, data, infrastructure) and turn findings into documented decisions. 
• Co-design the target (to-be) architecture and transition strategy: build vs buy, sequencing, risks. 
• Design the integration layer / API facade over legacy systems. 
• Assess regulatory and security requirements for the client's domain (personal data, industry standards). 
• Define non-functional requirements: resilience, DR, security, scalability, cost. 
• Contribute to the roadmap, estimate, team composition and ADRs. 

Implementation (leading) 

• Own the solution architecture through delivery and keep it aligned with the discovery outcome. 
• Lead the engineering team technically: break down the architecture into epics, set standards, run design/code reviews. 
• Drive integrations, data migration and phased replacement of legacy components. 
• Coordinate with the client's IT, incumbent and 3rd-party vendors. 
• Support certifications and audits where the domain requires them. 
• Manage architectural risks and technical debt; report status and decisions to the Lead Architect and Delivery Director. 

Must have 

• 8+ years in software development, including 3+ years as a Solution / Enterprise Architect. 
• Proven experience leading implementation as an architect or tech lead: owning the architecture through delivery and guiding a team of engineers. 
• Strong knowledge of architectural patterns: microservices and modular monoliths, event-driven, CQRS, strangler fig, integration and resilience patterns. 
• Ability to create clear architecture documentation: C4 model diagrams, ADRs, solution design documents. 
• Integration architecture: REST/SOAP/gRPC APIs, API gateways, event-driven, CDC. 
• Relational databases, data modeling and migration, DWH/analytics fundamentals. 
• Cloud-native and on-prem/hybrid architecture OCI (Oracle), containers, DR and resilience. 
• Hands-on experience building AI harnesses: LLM integration, agent and tool orchestration, RAG, context management, evaluation and guardrails in production. 
• Hands-on background in at least one stack (.NET or Java) and the ability to assess others. 

Nice to have 

• Experience in healthcare IT: MIS/HIS/EHR, patient apps, health insurance integrations. 
• Healthcare standards and compliance: HL7 FHIR, national eHealth systems, medical data protection, ISO 27001. 
• Experience integrating with enterprise and third-party systems. 
• Architecture certifications (SEI, AWS/Azure Solutions Architect). 

Soft skills 

• Communicates with the client's C-level and IT leadership; explains trade-offs in business terms. 
• Works independently with incomplete information: forms hypotheses and validates them. 
• Produces structured artifacts: diagrams, ADRs, roadmaps, risk registers. Mentors engineers and builds shared ownership of the architecture

We build software for healthcare organizations, from early-stage startups to established digital health vendors, providers and payers. We are looking for a hands-on solution architect who joins presale conversations and turns an ambiguous healthcare idea into a credible architecture, a scoped prototype and an estimate that our delivery team can stand behind. In this role, AI innovation and governance go together: every proposal should be fast to prototype and safe to put in front of a regulator, a compliance officer or a hospital security team.

What you will do:

• Join discovery, RFP and technical pitch calls with founders, clinical leaders, operations and IT teams, and explain architecture decisions in plain language.
• Design architectures for EHR/EMR integration, patient data exchange and healthcare workflows such as scheduling, eligibility verification, referrals, prior authorization, claims and revenue cycle management (RCM).
• Build AI-assisted prototypes and demos on sandboxes and synthetic data, and state clearly what is real, what is simulated and what remains for production.
• Define the AI governance approach for each proposal: data handling, model selection, human oversight, validation, monitoring and audit trail.
• Separate a proof of concept from an MVP, choose the single use case that proves feasibility, and defend that choice.
• Produce estimates (phases, stories, assumptions, risks) together with Delivery, and rebuild them when scope changes.
• Review client-supplied architecture documents and AI-generated specs critically, keeping what is sound and challenging what is not.
• Complete customer security questionnaires and due diligence, and prepare HIPAA, SOC 2 and HITRUST evidence for prospects.
• Support partner conversations with integration platforms, clearinghouses and EHR vendors.
• Hand over every won project to Delivery with a clean architecture, documented assumptions and open risks.

Healthcare domain expertise:

• Systems and data: hands-on experience with EHR/EMR platforms (Epic, Cerner/Oracle Health, athenahealth, eClinicalWorks, NextGen or similar), practice management and patient portals.
• Standards: FHIR R4, SMART on FHIR, CDS Hooks, Bulk FHIR, HL7 v2 (ADT, ORM, ORU), C-CDA/CCD, and DICOM basics.
• Administrative and financial flows: X12 270/271 (eligibility), 278 (referrals and prior authorization), 837/835 (claims and remittance), clearinghouses, payer and provider connectivity, denial management and the RCM lifecycle.
• Coding and terminology: ICD-10, CPT/HCPCS, SNOMED CT, LOINC, RxNorm, NPI, and the mapping and normalization problems between them.
• Data governance: PHI and PII handling, minimum necessary access, de-identification (Safe Harbor and Expert Determination), consent management (including 42 CFR Part 2 where relevant), master patient index and patient matching, and audit logging.
• Regulation and policy: HIPAA Privacy, Security and Breach Notification rules, 21st Century Cures Act and information blocking, ONC/ASTP certification (HTI rules), CMS interoperability and prior authorization rules, and TEFCA.
• Quality and value-based care: HEDIS, eCQM, CQL, care gaps, risk adjustment and population health analytics.

AI governance in regulated environments:

• Practical knowledge of frameworks and rules such as NIST AI RMF, ISO/IEC 42001, ONC decision support transparency requirements, FDA guidance on clinical decision support and software as a medical device, and the EU AI Act for clients operating in Europe.
• Experience designing human-in-the-loop controls, escalation to clinical or operational staff, and clear boundaries on what an AI agent may and may not do.
• Ability to handle PHI in LLM workflows: vendor BAAs, data residency, prompt and log redaction, no training on customer data, retention limits and access control.
• Methods for validating and monitoring AI: evaluation sets, hallucination and bias testing, drift monitoring, versioning of models and prompts, and incident response.
• Documentation habits that regulators and buyers expect: model cards, risk assessments, data lineage, decision logs and explainability for non-technical reviewers.

Technical requirements:

• 8+ years in software engineering and solution architecture, including delivery of SaaS and mobile products at scale.
• 3+ years in healthtech integration or digital health product work.
• Cloud-native architecture on AWS, Azure, or GCP using HIPAA-eligible services, with encryption, key management, network isolation, and least-privilege access.
• Integration engines and platforms (Mirth/NextGen Connect, Rhapsody, Redox, Health Gorilla, Medplum, Stedi or similar), including API design, event-driven patterns and reliable message handling.
• Data engineering: ETL/ELT pipelines, SQL and NoSQL, data warehouses, streaming, analytics and BI.
• Security practices: OAuth 2.0 and OIDC, RBAC, secrets management, secure SDLC, threat modeling and penetration test readiness.
• Experience with SOC 2 or HITRUST programs, and with third-party risk questionnaires from health systems and payers.
• Hands-on AI engineering: LLM APIs, agent orchestration, RAG, speech and messaging channels, cost and latency management, and prompt evaluation.
• Rapid prototyping with AI coding tools, and the judgment to know when generated code must be rebuilt from a clean specification.
• Reliability and observability for clinical and operational workflows: monitoring, auditability, disaster recovery and SLAs.
• Mobile and web accessibility awareness (WCAG, Section 508) for patient-facing products.
• Testing strategy for regulated software: validation evidence, traceability and change control.

Nice to have:

• Experience at an EHR vendor, clearinghouse, payer, health system or healthtech startup.
• Voice AI, SMS or omnichannel patient engagement experience.
• Experience with ambient documentation, coding assistance or prior authorization automation.
• Knowledge of medical device software standards (IEC 62304, ISO 14971).
• Public speaking, writing or open-source contributions in healthcare IT.

Your expertise:

• At least 7 years of software development experience
• At least 2 years of experience in a lead position
• AI development experience
• Excellent knowledge of C#, .NET, .NET Core
• Cloud infrastructure setup experience in AWS (EC2, RDS, SNS / SQS, S3, Cloud Front, Route 53, Redis )
• Basic knowledge of Node.js
• Experience developing microservices
• Experience with Docker
• Understanding of SOLID, OOP, Clean Code, GOF.
• Excellent communication and organization skills, product-oriented mindset, focus on team results, leadership qualities
• Understanding SDLC
• Upper-intermediate or higher level of English

Will definitely be a plus:

• Experience with Elastic Search
• Experience with Kubernetes
• Experience with Terraform
• Experience with Redis
• DNS configuration knowledge
• Experience with creating solution Architecture and solving nonstandard CRUD tasks

What’s in it for you?

• Opportunity to deal with top-notch technologies and approaches in a world-leader product company with millions of customers
• Opportunity to make a difference for online privacy, freedom of speech, and net neutrality
• Decent market rate compensation depending on experience and skills
• Developed corporate culture: no micromanagement, culture based on principles of truth, trust, and transparency
• “You build it, you own it” mentality in most contexts
• Support of personal and professional development
  • coverage of costs of external trainings, conferences, professional literature
  • support of experienced colleagues
  • in-house events and trainings
  • regular knowledge sharing in teams
  • English classes and speaking clubs
• Life-balance support
  • truly flexible schedule, no time-tracking at all
  • 25 working days of vacation
  • 5 days of paid sick leave per month (if necessary) without providing a medical certificate
  • generous maternity / paternity leave program
• Professionally strong environment, friendly and open atmosphere, ability to influence the product development and recognition for it
   

You will be involved into:

• The team will focus on extracting and modernizing a legacy Domain Search solution built with Node.js, Go, and Python, together with the underlying legacy infrastructure tightly coupled to it. The goal is to redesign both the application and infrastructure layers and create a new company-standard solution for a live, high-scale product used by millions of customers.
• As a Tech Lead or Senior Developer, you will be involved in the full software development lifecycle — from investigating the existing solution and defining the migration strategy to implementing and evolving the new platform using modern technologies, engineering standards, and infrastructure practices. This includes active participation in infrastructure reworking and improving the overall system architecture, scalability, and maintainability.
• You will collaborate closely with multiple cross-functional teams whose APIs integrate with your services. The role also includes contributing to architectural discussions, preparing technical documentation, and driving alignment with architects and other engineering teams to ensure scalable, reliable, and maintainable solutions.
   

About the company and project:

ZONE3000 is proud to represent its partnership with Namecheap (www.namecheap.com). Namecheap was founded in 2000 on the idea that all people deserve value-priced domains delivered through stellar service. Today Namecheap is a leading ICANN-accredited domain name registrar and web hosting company with over 17 million domains under management.

Our culture is built on the values that we live every day; the way we work, the way we collaborate with our global network of colleagues and the way we relentlessly innovate solutions that meet the emerging needs of our customers.

The team owns one of the most critical components of the Namecheap ecosystem — the Domains Search functionality that serves as the primary entry point for millions of customers across both Namecheap, the world’s second-largest domain registrar, and Spaceship, its rapidly growing next-generation platform. Every domain journey begins here, making the team’s work highly visible and directly impactful at scale.

The team is responsible for the end-to-end ownership of Domains Search and a portfolio of related services — ensuring fast, accurate, and reliable search experiences across hundreds of TLDs for a global customer base.

The team operates across the full stack, developing backend microservices in .NET Core, building frontend micro frontends in React, and managing infrastructure using Terraform on AWS.

We work in an agile environment with a team of highly skilled and motivated professionals, focused on delivering impactful results.

We’re growing and looking to hire a Software Team Leader - XSA who embodies our core values: People First, Customer Obsession, Strive for Excellence, and Integrity. 

Claroty is a global leader in cyber-physical systems (CPS) protection, dedicated to securing the critical infrastructure that keeps the world running. We’re a fast-growing, award-winning team where innovation meets purpose—and we want you to help us define the future of cybersecurity.

As a Software Team Leader for XSA (xDome Secure Access), you will lead the development of our industry-leading secure remote access solution. In a world where critical infrastructure is increasingly connected, your team will build the bridge that allows safe, monitored, and frictionless access to sensitive industrial environments. You will deal with complex networking challenges, identity management, and high-availability systems where security and performance are equally paramount.

Responsibilities:

• Drive a high-performing team of developers, fostering a culture of technical ownership, security-first mindset, and continuous delivery.
• Lead the design and implementation of robust secure access features, ensuring seamless integration between IT and OT networks.
• Oversee the development of scalable, high-performance gateway and proxy architectures that support global enterprise scales.
• Work closely with Product Management and Security Researchers to implement Zero Trust principles and advanced session monitoring capabilities.
• Invest in your team’s professional growth, promoting best practices in code quality, security protocols, and system resilience.

Requirements:

• 3+ years of experience leading R&D teams in a fast-paced environment.
• 5+ years of experience in backend development, with a strong track record of building complex systems in Python.
• Deep understanding of networking protocols (TCP/IP, HTTP/S, SSH, RDP) and security concepts (Zero Trust, Identity Management, Encryption).
• Experience building distributed, high-availability systems that handle real-time traffic and data.
• Proficiency in utilizing AI development tools (specifically Cursor and Claude) to accelerate development workflows, code generation, and problem-solving.

Would be a plus:

• Familiarity with frontend frameworks like Angular or React.
• Experience with Cloud-Native technologies (AWS/Azure/GCP, Docker, K8s).
• Experience in the Cybersecurity industry, specifically in Remote Access (VPN/ZTNA) or Identity (IAM).

What we offer

• Help and support from our caring HR team.
• 20 working days of annual paid leave.
• The exchange of experience and work with talented colleagues.
• Last but not least - valuable compensation for your efforts.