Company Description Nexthink is the leader in digital employee experience management software. The company provides IT leaders with unprecedented insight allowing them to see, diagnose and fix issues at scale impacting employees anywhere, with any application or network, before employees notice the issue. As the first solution to allow IT to progress from reactive problem solving to proactive optimization, Nexthink enables its more than 1,300 customers to provide better digital experiences to more than 18 million employees. Dual headquartered in Lausanne, Switzerland and Boston, Massachusetts, Nexthink has 9 offices worldwide. #LI-Hybrid Job Description We are looking for a skilled Senior Java Engineer with a strong desire to learn and innovate - you help challenge the status quo and are eager to develop new skills to help Nexthink stay on the leading edge of digital employee experience. The candidate shall be heavily motivated by both the product and the technology stack, whilst also able to produce scalable software solutions in an agile environment. You will design, build and deliver large-scale resilient and scalable distributed services that process billions of events by using modern cloud-native features and techniques. Your expertise will also contribute to the reliability and efficiency of our platforms, influencing both our product and engineering DevOps practices in ensuring high system availability, scalability, and performance. Responsibilities • Implement, test, deliver, and streamline Nexthink's data platform and accelerate data onboarding. • Proactively collaborate with Product Management, and other Engineering stakeholders to maintain a high bar for quality in a fast-paced, iterative environment. • Collaborate with architects to design and deliver scalable solutions. • Participate actively in the technology roadmap. • Advocate for improvements to product, security, quality, and performance. • Promote best practices and enforce team efficiency. • Ship complex features and improvements. • Handle L3 support requests (together with the rest of the team). • Work with the agile iterative/incremental mindset and participate actively in the different ceremonials. Qualifications • Minimum 8+ years of experience as Java developer in SaaS projects. • Strong experience with Microservices frameworks. Micronaut or Spring framework would be a plus. • B.E./B.Tech in Computer Science (or equivalent), MSc preferred. • Expertise with messaging systems like Kafka are strongly valued. • Knowledge of streaming services and distributed cache is a plus. • Experience with AWS or another cloud provider. • Familiar with Unit, integration and E2E tests. • Experience with CI/CD, Docker, and Kubernetes is a plus. • Excellent communication and teamwork skills. • Self-motivated and self-managing, with excellent organisational skills. • Positive and solution-oriented mindset. • Professional-level English spoken and written. Additional Information We are the pioneers and trailblazers of a global IT Market Category (DEX) that is shaping the future of how the world works, giving our customers' IT Teams total digital visibility across their enterprise. Our innovative solutions integrate real-time analytics, automation, and employee feedback across all endpoints. This enables our IT teams to solve complex technical challenges, create ever more productive workplaces, and deliver happy, satisfied employees in the digital workplace. With over 1000 employees across 5 continents, Nexthink operates as One Team, connecting, collaborating and innovating to continuously grow. We call our employees 'Nexthinkers' and our commitment to diversity, inclusion, and equity is second to none. We currently have over 75 nationalities working with us, from all cultures and backgrounds, speaking many different languages. If you are looking for a change and like a nice atmosphere, lots of challenges, and having fun while working, this is a great opportunity for you! Check what we offer: - Permanent Contract and a competitive compensation package. - Health insurance through our partnership with ACKO, including OPD coverage for dental, vision, health check-ups, consultations, and pharmacy expenses. - Hybrid work model balancing office and remote work, with a structured approach for new hires to foster connections and onboarding. - Flexible Hours and unlimited vacation (employees have unlimited paid time off on top of the 22 days of holidays we offer). Plus, company-paid bank holidays (12), sick days (10-30), bereavement leave (5), and 3 days per year for volunteering. - Free access to professional training platforms to explore your interests and enhance your skills. - Stay covered against accidents, bodily injuries, and disabilities with our personal accident insurance policy, providing assurance with coverage up to three times your annual CTC. - New mothers are entitled to up to 26 weeks of maternity leave, with the flexibility to use up to 8 weeks before the expected delivery and the remaining 18 weeks after. Birth fathers can take 6 weeks of paternity leave, while adoptive parents are eligible for 26 weeks of leave for mothers and 6 weeks for fathers. - Under the Payment of Gratuity Act, receive gratuity at the rate of 15 days of basic pay for every completed year of service, provided you've been employed by the company for a minimum of 5 years. Gratuity is payable at retirement or resignation based on your last drawn basic pay. - Bonuses for referring successful hires after three months of continuous employment. Please note that not all the benefits listed above are available for temporary, contract, and internship roles. To ensure you have the most up-to-date information, we recommend checking with your Recruitment Partner.

• Own the Problem: Take accountability for the outcome, talk directly to your users, stakeholders, and peers to discover the problem, translate business intents into functional requirements, determine where human judgment is non-negotiable, and own the technical requirements. • Build with AI: Write production-quality code across the stack (Python, Django, AWS, React, PostgreSQL), direct agents, evaluate and improve agent output, run projects spanning other Product Engineers and agents, and contribute to architectural decisions. • Verify and Iterate: Surface delivery risks early, verify the end-to-end result, drive adoption of what you ship, monitor services in production, participate in support rotations, and iterate until you move the needle. • Raise the Bar: Grow quickly, be aware of technical debt trade-offs, and operate to the engineering standards for quality, reliability, and operational excellence.

Role Description Join us as a Forward Deployed Engineer (FDE), where you’ll embed directly with our MDLive virtual care team to deliver impactful, production-grade AI solutions that enhance patient and provider experiences. This is a highly visible role where your work directly influences clinical outcomes, operational efficiency, and the future of AI in healthcare. As part of the AI Enablement Office (AIEO), you’ll combine technical depth with business partnership to accelerate responsible, scalable innovation. What You’ll Do - Drive End-to-End AI Solution Delivery - Own full lifecycle delivery of AI solutions—from problem framing through production deployment and adoption—aligned to MDLive business priorities. - Design and build AI applications using LLMs, RAG architectures, agentic workflows, and hybrid approaches tailored to clinical and operational workflows. - Translate ambiguous business problems into actionable technical solutions that deliver measurable outcomes. - Embed with the Business and Deliver Value - Partner directly with MDLive stakeholders to identify high-impact opportunities and rapidly iterate on solutions. - Operate in a sprint-based model with continuous feedback loops and visible progress toward defined outcomes. - Make informed technical tradeoffs, adapting scope and approach as business needs evolve. - Lead Stakeholder Engagement - Serve as the primary technical interface across product, engineering, and business teams. - Communicate AI capabilities, limitations, risks, and tradeoffs clearly to both technical and non-technical audiences. - Facilitate collaboration with security, legal, compliance, and data teams to ensure responsible and scalable delivery. - Mentor peers on practical AI delivery and production readiness. - Build for Scale and Reuse - Productionize solutions with strong observability, evaluation frameworks, and cost controls. - Extract repeatable patterns, components, and best practices to accelerate enterprise-wide adoption. - Document architectures and decisions to enable scalability and knowledge sharing. Qualifications - 5+ years of experience in software engineering, data engineering, or AI/ML engineering with a track record of delivering production systems. - Hands-on experience building GenAI applications using LLMs, RAG pipelines, or agentic workflows. - Strong proficiency in Python and experience with at least one additional language (e.g., Java, TypeScript, Go, SQL). - Experience working with cloud platforms (AWS, Azure, or GCP), including deployment, observability, and scalable systems. - Ability to translate business workflows into technical solutions in fast-paced, ambiguous environments. - Strong communication skills with the ability to engage both technical teams and business leaders. - Experience working across teams and influencing without direct authority. Requirements - Experience in healthcare, telehealth, or regulated industries (e.g., insurance, pharmacy, care delivery). - Familiarity with HIPAA-aligned practices, responsible AI governance, and model risk management. - Experience in forward-deployed, solutions engineering, or technical advisory roles. - Experience with enterprise AI platforms such as Azure OpenAI, AWS Bedrock, or Vertex AI. - Understanding of responsible AI principles including privacy, bias mitigation, explainability, and human oversight. Benefits - If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.

• Investigating, architecting, designing and implementing new solutions and adding new features or functions to existing solutions to meet business needs. • Understand the business problem to be solved. • Lead or participate in requirements gathering to feed an iterative-based methodology. • Identify and use packaged software and SaaS products to integrate with new and existing solutions. • Proficiently install and integrate software components. • Design solutions using an iterative, test-driven methodology. • Write unit tests and perform validation using contemporary tools, moving towards continuous development and integration. • Prepare production-ready code. • Gather, design, implement and test data needs using Oracle, Microsoft, or other data repositories. • Use a responsive design framework to develop and design User Interface or User Experience. • Peer review software design and code with other software engineers or software architects, depending on complexity. • Utilize prototyping when introducing new approaches or techniques. • Exercise proficient development in multiple modern programming/development languages. • Ensure all software architecture and designs adhere to enterprise-level application security best practices. • Build and automate the deployment of components and solutions into production using contemporary and emerging platforms, technology and software engineering methods, and applying knowledge of current industry toolsets.