Jobs

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

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.

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.

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.

B2B, remote, US Eastern Time clients), 2 calls per week with the team.


About the Role
 

We are looking for a Senior Forward Deployed Engineer who combines strong hands-on engineering, enterprise infrastructure expertise, and executive presence.
 

You will work directly with US-based mid-market and enterprise clients, understand complex business problems, design the technical solution, build and deploy it, integrate it into existing enterprise environments, and remain the trusted technical point of contact.
 

This is not a ticket-based engineering role. You will own the full journey:

Business Problem → Architecture → Build → Integration → Deployment → Client Outcome

 

What You'll Do
 

• Own client projects end-to-end with minimal handholding
• Turn ambiguous business problems into technical solutions
• Design and build production AI agents, applications, automations, integrations, and data pipelines
• Work with complex enterprise infrastructure, ERP systems, data warehouses, APIs, and cloud environments
• Make architecture and infrastructure decisions independently
• Use AI coding tools to build and ship quickly
• Work directly with client IT teams and senior stakeholders
• Lead client meetings and clearly explain technical decisions, progress, risks, and next steps
  
   

What We're Looking For

 

Strong Engineering & Architecture

• Approximately 7–12+ years of software engineering experience; flexible for exceptional candidates
• Strong hands-on development experience with TypeScript/JavaScript and Python
• Experience with technologies such as Next.js, PostgreSQL, Supabase, and APIs
• Ability to independently design system architecture and ship production software
• Former CTOs, Tech Leads, architects, founders, and consultants are welcome if they are still hands-on
   

Enterprise Infrastructure

Strong enterprise infrastructure experience is a key requirement.

You should have experience with:

• AWS, Azure and/or GCP
• ERP systems and enterprise integrations
• Data warehouses and data pipelines
• Microsoft/enterprise environments
• Authentication, security, and APIs
• Complex or legacy enterprise systems

You should be able to confidently discuss architecture and infrastructure with a client's IT team. This was explicitly highlighted by the hiring manager as increasingly important.
 

AI-Native Engineering

You should already use tools such as Claude Code, Codex, Cursor, or similar agentic coding tools as part of your normal development workflow.

Production experience with several of the following is expected:

LLM APIs · AI Agents · RAG · Vector Databases · MCP · Agent Frameworks · AI Automations

We care especially about how you work with AI—context, documentation, agents/sub-agents, code review, testing, and QA.

Executive Presence

This is a highly client-facing position.

 

You must have:
 

• Excellent spoken and written English
• Strong confidence and executive presence
• Experience communicating with senior client stakeholders
• Ability to explain complex technical topics in business language
• Confidence leading meetings with executives, operations teams, and enterprise IT
• Ability to become a trusted technical advisor rather than relying on someone else to manage the client relationship
   

The client specifically wants engineers who can independently represent the technical work in senior stakeholder meetings.

 

You're a Strong Fit If
 

You are a hands-on senior engineer who thinks like an architect, operates like an owner, and communicates like a consultant.

You don't wait for detailed specifications. You can understand the business problem, decide what should be built, build it, integrate it into a complex enterprise environment, and confidently present the result to the client.

CodeIT Innovation is looking for an experienced Solution Architect with strong hands-on expertise in the AVEVA PI ecosystem.

In this role, you will take ownership of architecture and technical decisions for complex industrial solutions. You will work closely with customers, translate business and technical requirements into scalable architectures, and stay involved in the hands-on implementation of PI-based solutions.
 

What you'll do

• Design end-to-end AVEVA PI System architectures and technical solutions.
• Translate customer requirements into scalable, secure and maintainable solutions.
• Design asset models, data structures, integrations and analytics.
• Work with OT/IT integrations and industrial operational data.
• Lead technical and architectural workshops with customers.
• Challenge requirements and recommend the best technical approach.

• Stay hands-on with implementation, configuration, modelling, troubleshooting and upgrades.

   

What we're looking for

• 4+ years of hands-on experience with the AVEVA PI ecosystem.
• Strong expertise in PI System architecture and solution design.
• Experience with OT/IT integrations.
• Experience with asset modelling, contextualization and analytics.
• Ability to independently drive technical decisions and solution architecture.
• Strong communication skills and experience working directly with customers.
• Fluent English.
   

Nice to have

• AVEVA PI System certifications
• Knowledge of ISA-95 and IEC 62443
• Understanding of OT cybersecurity principles
• Experience in Energy or Power & Utilities industries
• Scandinavian language skills
   

Why join CodeIT Innovation?

• Work with leading industrial companies across the Nordics.
• Solve complex challenges at the intersection of OT and IT.
• High level of autonomy and influence on technical decisions.
• Small, experienced and growing team.
• Remote-first and location-independent setup.

• Opportunity to contribute to the company's technical direction.

   

If you're passionate about industrial data, AVEVA PI and building robust solutions that create real customer impact, we'd love to hear from you.

Project Overview / Assignment Overview

Join a long-term international engineering project delivered by Jabil and work on advanced embedded camera and video technologies for a global leader in smart automation and control systems.

This is an opportunity for an experienced Camera / Embedded Linux Engineer who enjoys working close to the hardware and deep inside the Linux and Android camera stack—solving the complex problems that happen where image sensors, drivers, kernel, ISP, multimedia frameworks, and Android come together.

You’ll contribute to a unified camera technology platform powering multiple product families used in conference rooms, classrooms, auditoriums, home offices, and enterprise environments worldwide. Your work will have a direct impact on camera performance, video quality, system stability, and the overall user experience of commercially deployed products.

Deep Camera & Embedded Linux Engineering

Rather than working only at the application layer, you’ll have the opportunity to investigate and solve problems across the complete camera pipeline, from hardware interfaces and Linux kernel drivers through Android and multimedia frameworks.

Solve Problems That Require Real Engineering

You may find yourself analyzing kernel logs and driver behavior, tracing frames through V4L2 and the ISP, debugging MIPI CSI-2 communication, investigating Android Camera HAL behavior, tuning GStreamer pipelines, or determining whether a difficult problem originates in the sensor, hardware interface, kernel, driver, multimedia stack, or higher software layers.

Technical Ownership & Global Product Impact

We value senior engineers who want more than a predefined list of implementation tasks. You’ll have the opportunity to own complex technical topics from investigation through solution, contribute to architecture and engineering decisions, and work directly with globally distributed technical stakeholders.

Required Expertise (Must have):

· 8+ years of embedded/low-level development experience, with 4–5+ years focused on Linux / Android BSP and camera or multimedia subsystem integration

· Strong C/C++ programming skills

· Strong experience with Linux kernel camera drivers and V4L2 (including sub-device drivers)

· Proven experience integrating and maintaining Android Camera HAL

· Hands-on experience with camera sensor bring-up and board-level integration

· Experience working with Device Tree / DTBO overlays, including power sequencing, reset, and clock (MCLK) configuration

· Experience with ISP and image quality (IQ) pipelines, including:

o 3A algorithms (AE, AWB, AF),

o Lens Shading Correction (LSC),

o Temporal Noise Reduction (TNR)

· Ability to debug complex camera pipelines across kernel and user space

· Experience with Git/Gerrit and build systems (Yocto or AOSP)

· Strong understanding of embedded Linux and Android system architecture

· Experience with camera validation and debugging frameworks.

· Strong verbal and written communication skills, with the manner to effectively collaborate for the successful project delivery and to take ownership of complex technical challenges.

Nice to have

· Experience with Qualcomm’s CHI pipeline

· Experience with ISP pipelines and proprietary HAL implementations

· Knowledge of multimedia frameworks such as GStreamer or OpenCV

· Experience working with high-resolution or multi-camera systems

· Familiarity with automated validation frameworks for camera subsystems

· Understanding of Android CTS/GTS compliance and metadata policies

Expected Deliverables and Areas of Contribution

· Take responsibility for cross-platform camera architecture and board bring-up deliverables across Linux and Android platforms.

· Develop and maintain Linux camera drivers, including V4L2 sub-device drivers.

· Integrate, maintain, and optimize Android Camera HAL components.

· Design and validate Device Tree / DTBO overlays, including power, reset, and MCLK configuration.

· Develop automated media graph validation, streaming verification, and long-running stress test suites.

· Tune image quality pipelines using vendor-provided IQ tools.

· Collaborate with project hardware teams to validate and troubleshoot CSI timing, PHY configuration, and camera sensor integration.

· Collaborate with project silicon and camera vendors to support platform integration and resolve technical issues.

· Prepare and maintain technical documentation related to camera bring-up and platform integration.

· Support performance optimization, platform stability, and long-term maintainability.

Jabil Inc. partners with experienced independent professionals who contribute their expertise to international engineering projects. Let’s together create, innovate, and solve meaningful technical challenges for world-leading brands.

Engagement highlights:

· Contribute to a large international corporation delivering advanced engineering solutions for market-leading global clients.

· Real product impact and clear technical scope.

· Engage based on a B2B basis as an independent contractor who retains discretion over the manner, time, and place of service delivery, subject to project requirements and agreed deliverables, giving you flexibility in how and where you work.

· Collaborate with international engineering stakeholders and highly experienced specialists across different countries.

· Develop your expertise in new technical areas, modern technologies, and advanced embedded solutions.

· Influence technical decisions and contribute your knowledge to products used globally.

Project Overview / Assignment Overview

We are looking for an experienced Senior Android BSP Engineer to join a long-term international engineering project focused on the development of next-generation embedded Android/Linux platforms for advanced professional products used worldwide.

As part of the firmware engineering team, you’ll work on sophisticated control systems, digital media, and unified communications solutions deployed in conference rooms, classrooms, auditoriums, home offices, and enterprise environments. These are real, commercially deployed products where platform performance, multimedia quality, reliability, and hardware/software integration truly matter.

Work Deep Inside the Android Platform

This is not typical Android application development. You’ll work close to the hardware and deep within the Android platform, contributing to BSP development, platform integration, optimization, debugging, and system-level problem solving.

You’ll investigate problems that rarely have simple answers—working across multiple layers of the system to understand what is happening, why it is happening, and how to solve it properly.

Real Engineering Ownership

You’ll work directly with real hardware and real product environments, collaborating with experienced hardware, firmware, Android, Linux, and application engineers across multiple countries.

Your contribution will go beyond implementing predefined tasks. We value engineers who can analyze complex technical problems, propose solutions, make sound engineering decisions, and take ownership from investigation through implementation and validation.

You’ll also have the opportunity to exchange knowledge with highly experienced engineers and deepen your expertise across Android internals, BSP development, embedded Linux, multimedia, and hardware/software integration.

Why This Project?

If you enjoy bringing up hardware, debugging across the Android stack, optimizing complex embedded systems, and solving the difficult problems that sit between hardware and software, this is an opportunity to work on technically challenging products while continuing to grow as a senior Android platform engineer.

Required Expertise (Must have):

· 8+ years of proven experience developing, customizing, and debugging embedded software / firmware for Linux and/or Android-based products.

· Strong programming skills in C/C++ within embedded or system-level development environments.

· Hands-on experience with Embedded Linux development on ARM-based platforms, including configuration, build, deployment, hardware interfaces, and platform bring-up.

· Experience with Linux Kernel, U-Boot, Device Tree, and low-level platform customization.

· Practical experience with device driver development, optimization, troubleshooting, bug fixing, and adding new functionality for areas such as display, power management, Wi-Fi, GPIO, or other hardware interfaces.

· Hands-on experience with Android HAL and the ability to debug issues across the Android Framework and Linux Kernel layers.

· Good understanding of AOSP architecture and Android platform development workflows.

· Strong understanding of recent Android versions, features, APIs, and changes, preferably Android 14 or later.

· Experience working with source control and Android development tools such as Git, Gerrit, GitHub, ADB, and Fastboot.

· Ability to debug embedded systems where traditional step debugging may be limited or unavailable.

· Ability to independently read and understand electrical schematics and collaborate effectively with hardware engineering teams.

· Strong problem-solving skills, ownership mindset, and ability to work independently in a complex technical environment.

· Good written and verbal communication skills in an international engineering setting.

Nice to have

· Experience with Android framework services, Android Native applications using JNI/NDK, or Android system applications written in Java or Kotlin.

· Experience with hardware-accelerated graphics processing, especially OpenGL ES.

· Experience with Camera, Display, Media, power management, or connectivity-related subsystems in embedded Android/Linux products.

· Experience with scripting or automation using Bash or Python.

· A degree in Computer Science, Electrical Engineering, or a related technical field would be an advantage.

Expected Deliverables and Areas of Contribution

· Participate in the full software development lifecycle for new and existing embedded Android/Linux-based products — from design and development to testing, debugging, release support, and maintenance.

· Design, develop, and maintain embedded software and platform-level components using C/C++ in close cooperation with software and hardware engineering teams.

· Work with Embedded Linux and Android BSP areas, including platform configuration, hardware interfaces, device drivers, and support for new device features.

· Contribute to the development of next-generation control system, digital media, and unified communications products used in real enterprise environments.

· Investigate and resolve system-level issues across Android/Linux software layers, working on troubleshooting, debugging, performance improvements, and bug fixing.

· Support integration between software applications, hardware components, connected devices, and control systems to ensure stable product behavior.

· Support field escalations for new and legacy products by analyzing issues and contributing to long-term product reliability.

· Prepare and maintain clear technical documentation, including test procedures, design notes, troubleshooting information, and implementation details.

Jabil Inc. partners with experienced independent professionals who contribute their expertise to international engineering projects. Let’s together create, innovate, and solve meaningful technical challenges for world-leading brands.

Engagement highlights:

· Opportunity to support engineering projects delivered for market-leading global brands.

· Long-term project engagement with clearly defined technical objectives.

· Engage based on a B2B basis as an independent contractor who retains discretion over the manner, time, and place of service delivery (remote cooperation model), subject to project requirements and agreed deliverables, giving you flexibility in how and where you work.

· Collaboration with international engineering stakeholders and highly experienced specialists across different countries.

· Exposure to modern technologies and complex engineering challenges across embedded systems and Android platforms.

· The chance to influence technical decisions and contribute your knowledge to products used globally.

About the Role

We are seeking an experienced Senior Data Technology Consultant to join our growing Data & AI practice. This role bridges technology with business value, helping clients harness the power of data to drive transformative business results. You will play a pivotal role in crafting innovative data solutions, supporting sales efforts, and delivering exceptional value to our clients through strategic consulting and technical expertise.

Key Responsibilities

• Work closely with sales, delivery, and expert teams to align client needs with data-driven solutions, effectively connecting business challenges to our offerings
• Own the end-to-end presales process, including opportunity qualification, solution design, proposal development, demos, and client presentations
• Lead workshops and meetings with clients to gather business objectives and technical requirements, ensuring alignment between client goals and our solutions
• Architect tailored data solutions, encompassing cloud-native platforms, data integration, advanced analytics, and AI/ML models, to provide actionable business insights
• Develop competitive proposals, pricing models, and value propositions to successfully close opportunities and secure engagements
• Stay updated on emerging trends in Data & Analytics, Cloud, and AI, providing strategic advice to clients and supporting innovation within the practice
• Contribute to the development of reusable solution frameworks, accelerators, and methodologies to drive operational efficiency
• Act as a mentor and knowledge-sharer across the team, supporting skill-building and best practice dissemination

Requirements

• Extensive experience in presales, solution architecture, or consulting, with a focus on Data/AI technologies and related business use cases
• Strong technical knowledge in legacy Data Warehouse platforms (Oracle, DB2, Informatica, SSIS, etc.)
• Good experience in cloud data technologies (AWS, Azure, GCP)
• Experience in modern data platforms (Databricks, Snowflake)
• Familiarity with data science techniques and proficiency in analysis of client needs to align with technical solutions
• Excellent communication and storytelling skills—able to translate complex technical concepts into clear, client-friendly narratives
• Proven track record in engagement with senior stakeholders and delivery of impactful presentations or pitches
• Experience in creation of detailed proposals, RFP responses, and pricing/engagement models for data-related services or projects
• Understanding of strategic consulting principles and the ability to develop future-state recommendations and roadmaps for client success
• Strong organizational, leadership, and project scoping abilities, with a proven ability to manage complex tasks in a fast-paced environment
• Bachelor's or master's degree in data science, Computer Science, Business Analytics, or a related field (or equivalent professional experience)
• Excellent English communication skills, with the ability to clearly and effectively explain technical concepts to diverse audiences.