Performance Associate (New Grad)

🏢 Summary: Senior Software Engineer role focused on designing and building AI-powered backend systems that automate healthcare operations while supporting human workflows. The position involves hands-on system architecture, workflow orchestration, distributed systems, and AI process automation in a regulated environment. Remote-first work with required overlap with US Central Time. 🗂️ Requirements: 6+ years of experience building and maintaining production software systems, Strong experience designing and owning complex backend systems, Strong backend engineering skills, Experience with asynchronous, event-driven, or workflow-based distributed systems, Ability to work with 4–5 hour daily overlap with US team, Experience with AI or LLM-based systems and process automation, Strong spoken and written English communication skills, Ability to solve unclear problems with incomplete information, Self-motivated with strong ownership and responsibility 📃 Skills: TypeScript, Node.js, AI, LLM, Claude, Backend, APIs, HIPAA 🏢 Description: Please Note: Overlap with Central US Time required (until 20-21:00 CEST) We are a health technology company that helps older people and their families apply for important eldercare benefits, including Medicaid, Medicare, and VA programs. We work with healthcare, government systems, and people’s daily lives, so accuracy, reliability, and trust are very important. As the number of patients grows from hundreds to thousands, manual work is no longer enough. We are building AI-powered systems to automate routine tasks while keeping people involved for quality checks, difficult cases, and patient safety. Our goal is to make healthcare operations more scalable without losing the human connection. The Role We are looking for a Senior Software Engineer to lead the design and development of systems that combine AI automation with human workflows. This is an important role close to the core business. It is a fully hands-on position with no management duties or direct reports. You will not only build features, but also design systems, define best practices, and guide technical decisions as we grow. You should feel comfortable solving unclear problems, working closely with operations and product teams, and making smart decisions in a regulated environment. This role is a good fit for someone who enjoys system design, building reliable infrastructure, and taking ownership of their work. What You’ll Work On Designing workflow and orchestration systems for complex operations. Creating AI automations that handle routine tasks safely and send difficult cases to humans. Building systems where AI supports human work before, during, and after tasks. Managing long-running workflows that can last days or weeks. Connecting with external systems such as EVV platforms, insurers, government portals, and older messaging tools. Designing confidence scoring, auditing, and rollback systems for AI processes. Improving system reliability, monitoring, and error handling in production. Responsibilities Lead the technical design and development of scalable backend systems. Make and document architecture decisions with clear trade-offs. Create patterns for collaboration between AI systems and human workers. Work closely with operations teams to understand real-world issues and edge cases. Make sure systems are observable, auditable, and safe to run at scale. Identify technical risks early and suggest solutions. Maintain high standards for code quality, testing, and system design. Share knowledge and help improve the team’s technical standards through reviews and collaboration. What We’re Looking For Required 6+ years of experience building and maintaining production software systems. Strong experience designing and owning complex backend systems. Strong backend engineering skills (we use TypeScript and Node.js, but other languages are welcome). Experience with asynchronous, event-driven, or workflow-based distributed systems. Ability to work with a daily 4–5 hour overlap with the US team (until 20:00 or 21:00 Polish time). Comfortable working with unclear problems and incomplete information. Strong spoken and written English communication skills. Self-motivated with a strong sense of ownership and responsibility. Experience working with AI or LLM-based systems and process automation, such as using Anthropic’s API (Claude) or similar tools in business workflows. Nice to Have Experience in healthtech or other regulated industries. Knowledge of HIPAA and healthcare data privacy and security rules. Experience building systems with strict compliance or audit requirements. Experience with human review workflows. Experience integrating with unstable or legacy third-party APIs. Master’s or PhD in Computer Science, Engineering, or a related field. How We Work Remote-first company. Small, experienced teams with high trust and independence. Strong focus on system accuracy, reliability, and long-term maintenance. Practical and thoughtful use of AI, both for internal development and within our product. Direct connection to real users and operational impact.

🏢 Summary: Senior Software Engineer role focused on designing and building scalable backend systems that combine AI automation with human workflows in a regulated healthtech environment. The position involves hands-on system design, workflow orchestration, and development of reliable, auditable AI-powered processes integrated with external platforms. The engineer will lead technical decisions and ensure production-grade reliability, safety, and scalability. 🗂️ Requirements: 6+ years building and maintaining production software systems, Strong experience designing and owning complex backend systems, Strong backend engineering experience, Experience with asynchronous or event-driven distributed systems, Experience with workflow-based systems, Experience integrating AI or LLM-based systems into business workflows, Ability to design scalable, reliable, and auditable systems, Experience working with external or legacy APIs, Ability to overlap 4–5 hours with US time zone, Strong English communication skills 📃 Skills: TypeScript, Node.js, AI, LLM, Anthropic, Claude, APIs, DistributedSystems, EventDriven, Workflows, Backend, Architecture, Monitoring, Testing 🏢 Description: Please Note: Overlap with Central US Time required (until 20-21:00 CEST) We are a health technology company that helps older people and their families apply for important eldercare benefits, including Medicaid, Medicare, and VA programs. We work with healthcare, government systems, and people’s daily lives, so accuracy, reliability, and trust are very important. As the number of patients grows from hundreds to thousands, manual work is no longer enough. We are building AI-powered systems to automate routine tasks while keeping people involved for quality checks, difficult cases, and patient safety. Our goal is to make healthcare operations more scalable without losing the human connection. The Role We are looking for a Senior Software Engineer to lead the design and development of systems that combine AI automation with human workflows. This is an important role close to the core business. It is a fully hands-on position with no management duties or direct reports. You will not only build features, but also design systems, define best practices, and guide technical decisions as we grow. You should feel comfortable solving unclear problems, working closely with operations and product teams, and making smart decisions in a regulated environment. This role is a good fit for someone who enjoys system design, building reliable infrastructure, and taking ownership of their work. What You’ll Work On Designing workflow and orchestration systems for complex operations. Creating AI automations that handle routine tasks safely and send difficult cases to humans. Building systems where AI supports human work before, during, and after tasks. Managing long-running workflows that can last days or weeks. Connecting with external systems such as EVV platforms, insurers, government portals, and older messaging tools. Designing confidence scoring, auditing, and rollback systems for AI processes. Improving system reliability, monitoring, and error handling in production. Responsibilities Lead the technical design and development of scalable backend systems. Make and document architecture decisions with clear trade-offs. Create patterns for collaboration between AI systems and human workers. Work closely with operations teams to understand real-world issues and edge cases. Make sure systems are observable, auditable, and safe to run at scale. Identify technical risks early and suggest solutions. Maintain high standards for code quality, testing, and system design. Share knowledge and help improve the team’s technical standards through reviews and collaboration. What We’re Looking For Required 6+ years of experience building and maintaining production software systems. Strong experience designing and owning complex backend systems. Strong backend engineering skills (we use TypeScript and Node.js, but other languages are welcome). Experience with asynchronous, event-driven, or workflow-based distributed systems. Ability to work with a daily 4–5 hour overlap with the US team (until 20:00 or 21:00 Polish time). Comfortable working with unclear problems and incomplete information. Strong spoken and written English communication skills. Self-motivated with a strong sense of ownership and responsibility. Experience working with AI or LLM-based systems and process automation, such as using Anthropic’s API (Claude) or similar tools in business workflows. Nice to Have Experience in healthtech or other regulated industries. Knowledge of HIPAA and healthcare data privacy and security rules. Experience building systems with strict compliance or audit requirements. Experience with human review workflows. Experience integrating with unstable or legacy third-party APIs. Master’s or PhD in Computer Science, Engineering, or a related field. How We Work Remote-first company. Small, experienced teams with high trust and independence. Strong focus on system accuracy, reliability, and long-term maintenance. Practical and thoughtful use of AI, both for internal development and within our product. Direct connection to real users and operational impact.

🏢 Summary: The offer is for a Software Engineer I responsible for maintaining, improving, and expanding web applications and data pipelines in a healthcare-focused environment. The role involves building scalable full-stack solutions, collaborating cross-functionally, and applying best practices in observability, testing, and secure development. Candidates will contribute to technical roadmaps using Agile methodologies while working with modern web, cloud, and data technologies. 🗂️ Requirements: BS/BTech in Computer Science, Engineering or related field, 1+ year experience building full-stack web applications, 1+ year experience with SQL or database querying on large multi-table datasets, Experience working in cross-functional engineering teams, Ability to develop scalable and performant solutions 📃 Skills: SQL, HTML, CSS, JavaScript, React, Angular, Vue, Ember, Nodejs, Java, Python, Scala, C#, C++, Go, JVM, AWS, Azure, GoogleCloud, Docker, Kubernetes, CI/CD, APIs, MachineLearning, NLP 🏢 Description: Description: As a Software Engineer I, you will maintain, improve, and expand web applications and data pipelines. The role focuses on creating secure, maintainable, performant, scalable, and stable solutions to complex healthcare industry challenges. Engineers are expected to prioritize observability, alerting, metrics, high test coverage, and frequent incremental releases. Primary Duties: - Develop and implement scalable and performant solutions. - Partner with Engineering Managers, Product Managers, and stakeholders to develop and execute technical roadmaps using Agile processes. Minimum Qualifications: - BS/BTech (or higher) in Computer Science, Engineering or a related field. - 1+ years experience as an engineer building full-stack web applications as part of a cross-functional team. - 1+ years of experience working with SQL or other database querying language on large multi-table data sets. Preferred KSA’s: - Experience building full stack web applications in any language/framework. - Proficiency with CSS/HTML/Javascript and modern JavaScript frameworks (e.g., React, Angular, VueJs/Ember). - Expertise in at least 1 server-side web technology (e.g., Nodejs, Java, Python, Scala, C#, C++, Go, JVM). - Familiarity with relational database systems. - Experience with API design and development. - Experience with cloud based technologies such as AWS, Azure or Google Cloud. - Knowledge of containerization and orchestration technologies such as Docker and Kubernetes. - Familiarity with continuous integration and continuous deployment (CI/CD) pipelines. - Experience with security and systems that handle sensitive data. - Proficiency in machine learning algorithms and techniques. - Experience in deploying machine learning models into production environments. - Expertise with statistical data techniques (such as causal inference, syntactic analysis, sampling methods, NLP), including working with incomplete or unrepresentative data. Physical Requirements: - Sitting for prolonged periods of time. - Extensive use of computers and keyboard. - Occasional walking and lifting may be required.

🏢 Summary: Senior DevOps/Cloud Engineer role focused on designing and operating cloud infrastructure and data platforms for a Forbes 500 private equity client. The position involves owning AWS-based environments, Infrastructure-as-Code, Kubernetes workloads, identity and authentication systems, and production reliability. You will support data engineering teams by building secure, scalable, and observable multi-cloud infrastructure. 🗂️ Requirements: 10+ years in IT, 5+ years in DevOps/Cloud role, Deep AWS expertise (IAM, EC2, S3, EKS), Strong Terraform experience with end-to-end IaC ownership, Hands-on Kubernetes setup and operations, Docker proficiency, Strong Python skills, Strong Bash skills, Experience with IAM and identity providers, Knowledge of OAuth/OIDC and SSO, Experience with Entra ID and Active Directory, Observability and SRE practices experience, Experience with relational and NoSQL databases, C1+ English proficiency 📃 Skills: AWS, Azure, Terraform, Python, Bash, SQL, Docker, Kubernetes, Airflow, Snowflake, Redshift, Athena, GitLab, Artifactory, SQLAlchemy, IAM, OAuth, OIDC, SSO, Okta, ActiveDirectory, EC2, S3, EKS, Lambda, RDS, Route53, EntraID, CI/CD, Scrum 🏢 Description: We are an AI-native data and technology partner for private capital and healthcare. Founded in 2010 and headquartered in Warsaw, we work with leading PE firms, VC funds, and healthcare organizations to build proprietary data infrastructure, deploy AI solutions, and drive AI-native transformation. Our clients manage a cumulative $210B+ in assets. Our average engagement runs five years. Our NPS sits above 80. We don't need to claim credibility — we can show it. We've also done to ourselves what we now do for clients. We've restructured our own company around AI — tools, policies, roles, delivery models. This isn't a pitch. It's a playbook we've already run, and we're hiring the engineers who will run it for others. The Project: We are carrying out the project for our client, an American private equity and investment management fund - listed on the Forbes 500 list - based in New York. We support them in the area of data pipeline, infrastructure and data engineering team. They operate very widely in the world of finance, loans, investments and real estate. Tech stack AWS (EC2, ELB, IAM, Lambda, RDS, Route53, S3, Athena, Redshift, EKS), Azure (Entra ID / Copilot integration), Terraform, Python, Bash, SQL, Docker, Kubernetes, Apache Airflow, Snowflake, GitLab, Artifactory, SQLAlchemy. Best practices: CI/CD, Code Reviews, Scrum. Your responsibilities Designing, building and maintaining cloud infrastructure across AWS environments, with Azure involvement where needed for Copilot integration Writing and owning Infrastructure-as-Code (Terraform) — from greenfield builds to ongoing refactors Running containerized workloads (Docker, Kubernetes) across multi-region setups Owning observability: logging, metrics, dashboards, reliability targets, operational runbooks Engineering identity and auth solutions — IAM policies, Entra ID, OAuth/OIDC, SSO, Okta, token ownership, service vs. user auth, cross-platform access Debugging real production issues: API failures, auth loops, rate limits, model config problems, client SDK bugs, capacity constraints Building reusable tooling and infrastructure for data scientists and engineers Supporting the broader data engineering team with DevOps expertise Documenting what you build — clearly and thoroughly What we're looking for 10+ years in IT, including 5+ years in a DevOps/Cloud role Deep AWS expertise (IAM, EC2, S3, EKS and beyond); Azure awareness for Copilot-adjacent work Solid Terraform background — you've owned IaC end-to-end, not just contributed to it Kubernetes experience: setting it up from scratch, scaling, day-2 operations Docker proficiency Strong Python and Bash skills Identity and auth engineering: IAM, Entra ID, OAuth/OIDC, SSO, Okta, Active Directory Observability and SRE mindset — you write runbooks, you own reliability, you don't just monitor Experience with relational and NoSQL databases C1+ English — written and spoken Nice to have Experience with data pipeline tools (Airflow, Snowflake, Redshift, Athena) Familiarity with Artifactory or similar repository managers Experience in secure/corporate networking environments (proxies, firewalls) Python data stack: Pandas, NumPy, SQLAlchemy; basic ML libraries a plus Comfort working in both Windows and Unix environments Benefits Unrestricted AI Stack & Premium Gear: Fully paid licenses for Cursor, Claude Pro, etc. Work with a talented team redefining the global perception of Poland Flexible working hours and remote work options Comfortable office in central Warsaw with all essential tools Multisport card & private medical care A culture of feedback – evaluation meetings, mentoring, and career growth opportunities Frontier Engineering Culture: Build alongside elite engineers who are shipping systems that drive real investment decisions. Backed by continuous growth and a strong knowledge-sharing culture ( check our YouTube ). Sounds like a perfect place for you? Don’t hesitate to click apply and submit your application today!

🏢 Summary: Hands-on End-User IT role supporting acquired agencies through onboarding, cutovers, and day-to-day operations in a HIPAA-aware environment. The position focuses on identity and access management, device lifecycle management, and MDM operations across Entra/Okta, Google Workspace, and Microsoft 365. You will act as the primary IT contact during integrations, ensuring secure, seamless user experiences and operational continuity. 🗂️ Requirements: 4–6 years in end-user/desktop support, IT operations, or MSP/help-desk environment, Hands-on administration of Entra ID or Okta, Experience with Google Workspace and/or Microsoft 365 administration, MDM administration experience (Hexnode, Intune, Jamf, or Kandji), Experience imaging, provisioning, and managing full laptop lifecycle, Knowledge of MFA, SSO, conditional access, VPN, and remote desktop environments, Ability to manage JML workflows with same-day deprovisioning, Experience operating in HIPAA or regulated environment 📃 Skills: Entra, Okta, GoogleWorkspace, Microsoft365, Hexnode, Intune, Jamf, Kandji, MFA, SSO, VPN, AVD, PowerShell, MDM, AzureVirtualDesktop 🏢 Description: About Us Insurance brokers sit at the intersection of care, cost, and access — yet remain one of the most underleveraged assets in the $5T healthcare value chain. They guide millions of Americans through plan selection, coverage questions, and care navigation, yet still rely on spreadsheets, manual workflows, and outdated tools that limit their growth and impact. Gyde is building an AI-native insurance brokerage platform — a system that learns from every client interaction to automate operations, power intelligent voice and chat experiences, and predict the right coverage and products for every individual or business. Role Summary You are the human face of IT for every agency we bring into Gyde. When an agency is acquired, you ensure that accounts, laptops, and access work on day one, owning the experience before, during, and after cutover. You sit on the Infrastructure team, report to the Head of Infrastructure, and act as the bridge between integration runbooks and end users. This is hands-on work: maintaining device fleets across multiple entities, running MFA and SSO resets, provisioning and deprovisioning accounts across Entra/Okta and Google Workspace/M365, and triaging support requests. You operate in a HIPAA-aware environment, handling identity verification, device loss, and access changes with care. Key Responsibilities - Own the end-user IT experience for acquired agencies — onboarding, cutover, hypercare, and day-to-day support; serve as the primary IT point of contact. - Run endpoint and device operations — image, enroll, ship, and lifecycle-manage laptops (provisioning through RMA and offboarding retrieval); operate the MDM (Hexnode), push policies, and resolve compliance issues. - Handle Tier 1–2 identity and access — provision, modify, and deprovision accounts in Entra/Okta, Google Workspace/M365, and core SaaS; execute JML workflows with same-day deprovisioning. - Execute user-facing integration rollouts — schedule cutover windows, run pilot waves, capture friction, recommend runbook updates, and manage status communications. - Enforce security hygiene — endpoint baselines, disk encryption, MFA enrollment, screen-lock policies; support phishing reporting and user security education; flag anomalies and maintain HIPAA-aware practices. What You Bring / Core Competencies - End-user support and troubleshooting across laptops, SaaS, connectivity, and access issues. - Identity and access administration (Entra/Okta), Google Workspace/M365, MFA, SSO, conditional access, and JML processes. - Endpoint and MDM operations — device imaging, enrollment, lifecycle management, inventory, and compliance troubleshooting (Hexnode or comparable). - Clear communication with non-technical users and leadership, especially during cutovers. - Operational rigor and security mindset in regulated environments. Technical / Functional Requirements - 4–6 years in end-user/desktop support, IT operations, or MSP/help-desk environment. - Hands-on administration of Entra ID or Okta plus Google Workspace and/or Microsoft 365. - MDM experience (Hexnode preferred; Intune, Jamf, or Kandji acceptable). - Experience imaging and provisioning laptops and managing full device lifecycle. - Working knowledge of MFA, SSO/conditional access, VPN, and AVD or comparable remote desktop setup. Nice to Have - Experience in HIPAA or regulated environments. - Multi-tenant, MSP, or M&A / agency-integration IT experience. - Hexnode and Azure Virtual Desktop (AVD). - Light scripting for automation (PowerShell or similar). What We Offer - Top of the market compensation - Flexible (Unlimited) Paid Time Off - Medical, Dental, and Vision benefits - Retirement Plan (e.g., 401K) - Parental Leave

🏢 Summary: Senior Data Scientist role focused on building and operating real-time, AI-driven decisioning systems that directly impact user experience and conversion rates. The position involves developing and deploying production-grade machine learning models with strict low-latency requirements and contributing to personalization, experimentation, and recommendation systems. It combines hands-on ML engineering with experimentation, causal analysis, and large-scale data processing in a business-facing environment. 🗂️ Requirements: 7+ years commercial experience in Data Science with production ML focus, Strong experience deploying and maintaining production ML models, Experience with real-time systems and low-latency constraints, Proficiency in Python and SQL, Hands-on experience with gradient boosting methods, Experience with recommendation systems and uplift modeling, Strong knowledge of A/B testing and causal inference, Experience building feature engineering pipelines at scale, Experience with Apache Spark or PySpark, Cloud platform experience (AWS preferred), Familiarity with LLMs and GenAI for personalization 📃 Skills: Python, SQL, NumPy, Pandas, Scikit-learn, XGBoost, LightGBM, PySpark, Spark, AWS, Databricks, NLP, LLM, GenAI 🏢 Description: We are looking for a Senior Data Scientist to join a Growth Alliance team focused on AI-driven decisioning and user-facing machine learning systems. This role is suited for a technically strong data scientist who is equally comfortable working with business stakeholders and operating production ML systems at scale. About the Project: This is a high-impact role working directly on systems that influence end-user experience and conversion. You will operate in a real-time environment with strict low-latency requirements (<40 ms), contributing to a shift toward AI-driven decisioning aimed at improving product performance and increasing conversion rates. The work spans production ML pipelines, experimentation, and personalization, not just research or experimentation in isolation. Responsibilities: Design, develop, and deploy production machine learning models with real-time constraints; Build and maintain recommendation systems, uplift models, and contextual bandit frameworks; Conduct A/B testing, causal inference analyses, and statistical hypothesis testing; Develop and maintain feature engineering pipelines at scale using PySpark / Apache Spark; Monitor and validate deployed models to ensure performance and reliability; Collaborate closely with business stakeholders to challenge assumptions and define the right problems; Contribute to generative AI and LLM-based personalization initiatives; Work with decisioning platforms, personalization engines, and Martech integrations. Qualifications: 7+ years of commercial experience in Data Science with a strong production ML focus; Proficiency in Python (NumPy, Pandas, Scikit-learn) and SQL; Hands-on experience with gradient boosting methods (XGBoost, LightGBM); Experience with recommendation systems, clustering, NLP, and uplift modeling; Solid background in A/B testing frameworks, causal inference, and statistical modeling; Experience with feature engineering and production ML pipelines at scale; Cloud platform experience, preferably AWS; Familiarity with LLMs, prompt engineering, and GenAI for content personalization; Strong communication skills and ability to work in a highly business-facing environment; Databricks experience is a nice to have. Recruitment Process: Initial interview with our recruitment team; Interview with the hiring manager; Live Coding Assessment; Meeting with the Project Manager. Inuits Sp. z o.o. is registered in the National Register of Employment Agencies (KRAZ) under number 35420.

🏢 Summary: Staff Data Scientist (Tech Lead) role focused on building and scaling real-time AI-driven decisioning systems to improve product conversion. The position combines hands-on machine learning leadership with technical ownership of production ML pipelines and experimentation strategy. You will drive advanced ML initiatives including recommendation systems, uplift modeling, and LLM-based personalization in low-latency environments. 🗂️ Requirements: 10+ years experience in Data Science with production ML systems, Expert-level Python and SQL, Strong experience with PySpark or Apache Spark, Experience building real-time ML systems with strict latency constraints, Proven experience with gradient boosting and recommendation systems, Strong background in A/B testing and causal inference, Experience building ML pipelines on AWS, Hands-on experience with LLMs including fine-tuning and evaluation, Experience with feature engineering and model monitoring in production 📃 Skills: Python, SQL, PySpark, Spark, NumPy, Pandas, Scikit-learn, XGBoost, LightGBM, AWS, Databricks, LLMs, NLP, Clustering, Uplift, Bandits, ABTesting, CausalInference 🏢 Description: We are looking for a Staff Data Scientist to join a Growth Alliance team at the Tech Lead level. This role goes beyond hands-on data science, it requires a candidate who can set technical direction, lead complex ML initiatives, and act as a strategic partner to business stakeholders. You will operate at the intersection of advanced machine learning, real-time systems, and product growth. About the Project: This is a Staff / Tech Lead position within a team driving AI-powered decisioning at scale. You will work on systems with strict real-time constraints (<40 ms latency) that directly impact end-user experience and conversion. The mission is to move the product toward AI-driven decisioning, targeting a measurable improvement in conversion (~5%). You will be expected to challenge assumptions, define the technical roadmap, and ensure that ML systems perform reliably in production. Responsibilities: Lead the design and implementation of production ML systems, including real-time decisioning and personalization engines; Drive adoption of contextual bandits, uplift modeling, and advanced recommendation frameworks; Define experimentation strategy including A/B testing, causal inference, and synthetic controls; Oversee feature engineering at scale and ensure robust model monitoring and validation practices; Act as a technical owner for decisioning platforms and Martech integrations; Collaborate with and influence senior business stakeholders to shape data science strategy; Guide and mentor other data scientists on the team; Lead GenAI and LLM-based initiatives including fine-tuning, evaluation, and content personalization. Qualifications: 10+ years of experience in Data Science, with a strong track record in production ML systems; Expert-level Python (NumPy, Pandas, Scikit-learn) and SQL; Deep experience with PySpark / Apache Spark for large-scale data processing; Mastery of gradient boosting methods (XGBoost, LightGBM), recommendation systems, NLP, clustering, and uplift modeling; Extensive experience with A/B testing, causal inference, statistical modeling, and synthetic controls; Proven ability to build and maintain production ML pipelines on cloud platforms (AWS preferred); Experience with decisioning platforms, personalization engines, and Martech integrations; Hands-on experience with LLMs, prompt engineering, evaluation, and fine-tuning; Strong stakeholder management skills with the ability to challenge assumptions and ask the right questions; Databricks experience is a nice to have. Recruitment Process: Initial interview with our recruitment team; Interview with the hiring manager; Live Coding Assessment; Meeting with the Project Manager. Inuits Sp. z o.o. is registered in the National Register of Employment Agencies (KRAZ) under number 35420.

🏢 Summary: Senior Full Stack Development Engineer responsible for designing and maintaining scalable backend services and APIs for healthcare and insurance transaction systems. The role focuses on Java-based backend architecture, distributed systems, cloud infrastructure, and high-volume data processing. You will drive system reliability, performance, and integration while leveraging AI-assisted development and modern DevOps practices. 🗂️ Requirements: Bachelor's degree in Computer Science or related field or equivalent experience, 8+ years of backend software engineering experience, Strong experience in Java, Experience with Spring Boot or similar frameworks, Solid understanding of RESTful APIs, Experience designing distributed systems, Strong SQL experience, Experience with Oracle, Familiarity with NoSQL databases, Experience with AWS, Azure, or GCP, Experience with AI-assisted development tools (e.g., Copilot, Claude), Experience with Docker, Experience with Kubernetes, Familiarity with CI/CD pipelines (e.g., Jenkins), Deep understanding of Agile methodologies, Experience building scalable backend systems 📃 Skills: Java, Spring, SQL, Oracle, NoSQL, REST, AWS, Azure, GCP, Docker, Kubernetes, Jenkins, Kafka, RabbitMQ, Elastic, Playwright, Postman, ELK, Prometheus, Datadog, Grafana, Claude, Copilot 🏢 Description: About the Role This is an opportunity to join a growing organization transforming healthcare technology through modern electronic billing, payments, and secure data exchange solutions across the Property & Casualty and Healthcare industries. As a Senior Full Stack Development Engineer, you will design, build, and maintain scalable applications and APIs that power mission-critical healthcare and insurance workflows. The role focuses on backend architecture, service development, data processing, and system integration to ensure high performance, reliability, and maintainability across platforms. You will partner with product, engineering, QA, and implementation teams to deliver robust backend capabilities supporting complex transaction processing and customer integrations. This is a hybrid role based in Concord, California, with an expectation of working in the office at least two days per week. What You'll Do - Design, develop, and maintain backend services, APIs, and core platform components - Build scalable systems using Java and Spring Boot or similar frameworks - Develop and support RESTful APIs and service integrations across internal and external systems - Participate in system design and architecture discussions for scalable backend solutions - Collaborate with product, implementation, QA, and engineering teams to define technical requirements - Support complex data processing, transformation, and integration workflows - Ensure backend systems are secure, reliable, and performant under high transaction volumes - Utilize AI-assisted development tools (e.g., Claude, Copilot) to accelerate development and maintain high code quality - Contribute to CI/CD pipelines, deployment automation, and DevOps practices - Write clean, maintainable, and testable code with strong unit and integration test coverage - Apply modern engineering practices including shift-left testing and continuous quality improvement - Improve system observability through logging, monitoring, and diagnostics enhancements - Troubleshoot production and integration issues as needed What You'll Need - Bachelor's degree or equivalent experience in Computer Science or related field - 8+ years of backend software engineering experience - Strong experience in Java and backend service development - Solid understanding of RESTful APIs and distributed systems design - Experience with Spring Boot or similar backend frameworks - Strong SQL experience (Oracle preferred) and familiarity with NoSQL databases - Experience working with cloud platforms (AWS, Azure, or GCP) - Experience with AI-assisted development tools (e.g., Copilot, Claude) - Experience with containerization (Docker) and orchestration (Kubernetes) - Familiarity with CI/CD pipelines (Jenkins or similar tools) - Deep understanding of Agile development methodologies - Experience building maintainable, scalable backend systems Nice to Have - Experience in healthcare, insurance, or financial services systems - Exposure to high-volume transaction processing or integration-heavy environments - Experience with event-driven architectures or messaging systems (Kafka, RabbitMQ) - Familiarity with Elastic Cloud - Experience with API testing or workflow automation tools (Playwright, Postman) - Knowledge of system observability tools (ELK, Prometheus, Datadog, Grafana) - Experience working with sensitive data and compliance requirements (HIPAA / PHI / PII) Compensation and Benefits Compensation range: $120,000–$150,000 USD. In addition to base pay, employees may be eligible for performance-based bonuses and a comprehensive benefits package including medical, dental, and vision coverage, 401(k) with company match, and paid time off. Actual compensation is determined based on qualifications, experience, and internal equity.

🏢 Summary: Senior Full Stack Development Engineer role focused on designing and building scalable backend services, APIs, and data processing systems for healthcare and insurance transaction platforms. The position emphasizes Java/Spring Boot development, distributed systems, cloud infrastructure, and AI-assisted engineering practices. This hybrid role contributes to high-performance, secure, and reliable systems supporting complex, high-volume workflows. 🗂️ Requirements: Bachelor's degree in Computer Science or related field or equivalent experience, 8+ years of backend software engineering experience, Strong experience in Java, Experience with Spring Boot or similar backend frameworks, Solid understanding of RESTful APIs, Experience with distributed systems design, Strong SQL experience, Familiarity with NoSQL databases, Experience with cloud platforms (AWS, Azure, or GCP), Experience with AI-assisted development tools (Copilot, Claude, or similar), Experience with Docker, Experience with Kubernetes, Familiarity with CI/CD pipelines (Jenkins or similar), Deep understanding of Agile methodologies, Experience building scalable and maintainable backend systems 📃 Skills: Java, Spring, SQL, Oracle, NoSQL, REST, AWS, Azure, GCP, Docker, Kubernetes, Jenkins, Kafka, RabbitMQ, Elastic, Playwright, Postman, ELK, Prometheus, Datadog, Grafana, Claude, Copilot 🏢 Description: About the Role This is an opportunity to join a growing company transforming healthcare technology through modern electronic billing, payments, and secure data exchange solutions across the Property & Casualty and Healthcare industries. As a Senior Full Stack Development Engineer, you will play a key role in designing, building, and maintaining scalable applications and APIs that power mission-critical healthcare and insurance workflows. This role focuses on backend architecture, service development, data processing, and system integration, ensuring high performance, reliability, and maintainability across platforms. You will work across multiple initiatives, partnering with product, engineering, and implementation teams to deliver robust backend capabilities that support complex transaction processing and customer integrations. You will also leverage modern engineering practices, including AI-assisted development tools (Claude Code, GitHub Copilot) to improve development speed and efficiency, and apply modern testing approaches such as automated API and workflow validation (e.g., Playwright, where applicable) to ensure system reliability. This role is central to building and maintaining the backend systems that power core products and integrations. You will directly impact system scalability, reliability, and performance across multiple customer-facing and internal platforms. Your work will help ensure that complex healthcare and insurance transactions are processed accurately, efficiently, and securely at scale. This is a hybrid role based in Concord, California, with an expectation of working in the office at least two days per week. What You'll Do - Design, develop, and maintain backend services, APIs, and core platform components - Build scalable systems using Java and Spring Boot or similar frameworks - Develop and support RESTful APIs and service integrations across internal and external systems - Participate in system design and architecture discussions for scalable backend solutions - Work closely with product, implementation, QA, and engineering teams to define technical requirements - Support complex data processing, transformation, and integration workflows - Ensure backend systems are secure, reliable, and performant under high transaction volumes - Utilize Claude to support development, accelerate problem-solving, and improve productivity while maintaining high code quality - Contribute to CI/CD pipelines, deployment automation, and DevOps practices - Write clean, maintainable, and testable code with strong unit and integration test coverage - Apply modern engineering practices, including shift-left testing and continuous quality improvement - Use AI-assisted development tools (Claude Code, Copilot, etc.) to accelerate development, debugging, and analysis - Improve system observability through logging, monitoring, and diagnostics enhancements - Troubleshoot production and integration issues as needed What You'll Need - Bachelor's degree or equivalent experience in Computer Science or related field - 8+ years of backend software engineering experience - Strong experience in Java and backend service development - Solid understanding of RESTful APIs and distributed systems design - Experience with Spring Boot or similar backend frameworks - Strong SQL experience (Oracle preferred) and familiarity with NoSQL databases - Experience working with cloud platforms (AWS, Azure, or GCP) - Experience and passion around working with AI: Copilot, Claude, Windsurf, Gemini Code, or similar - Experience with containerization (Docker) and orchestration (Kubernetes) - Familiarity with CI/CD pipelines (Jenkins or similar tools) - Deep understanding of Agile development methodologies - Experience building maintainable, scalable backend systems Nice to Have - Experience in healthcare, insurance, or financial services systems - Exposure to high-volume transaction processing or integration-heavy environments - Experience with event-driven architectures or messaging systems (Kafka, RabbitMQ, etc.) - Familiarity with Elastic Cloud - Experience with API testing or workflow automation tools (Playwright, Postman, etc.) - Knowledge of system observability tools (ELK, Prometheus, Datadog, Grafana, etc.) - Strong debugging and production troubleshooting skills - Experience working with sensitive data and compliance requirements (HIPAA / PHI / PII) - Strong communication skills and ability to collaborate across technical and non-technical teams Pay Transparency Compensation for this position may vary based on individual skills, experience, and location. In addition to base pay, employees may be eligible for performance-based bonuses and a comprehensive benefits package, including medical, dental, and vision coverage, 401(k) with company match, paid time off, and other benefits. Actual compensation will be determined considering the candidate's qualifications, relevant experience, and internal equity. $120,000—$150,000 USD EEO Note The employer is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classification protected by federal, state, or local law.

🏢 Summary: Senior Full Stack Development Engineer role focused on designing and maintaining scalable backend systems and APIs for healthcare and insurance transaction platforms. The position emphasizes Java/Spring Boot development, distributed systems, cloud infrastructure, and AI-assisted engineering practices. You will build high-performance, secure services that support complex data processing and integrations in a hybrid work environment. 🗂️ Requirements: Bachelor's degree in Computer Science or related field or equivalent experience, 8+ years of backend software engineering experience, Strong experience in Java, Experience with Spring Boot or similar frameworks, Solid understanding of RESTful APIs, Experience with distributed systems design, Strong SQL experience (Oracle preferred), Experience with NoSQL databases, Experience with AWS, Azure, or GCP, Experience with Docker, Experience with Kubernetes, Familiarity with CI/CD pipelines (e.g., Jenkins), Experience with AI-assisted development tools (e.g., Copilot, Claude), Deep understanding of Agile methodologies 📃 Skills: Java, Spring, SpringBoot, REST, SQL, Oracle, NoSQL, AWS, Azure, GCP, Docker, Kubernetes, Jenkins, Kafka, RabbitMQ, Playwright, Postman, ELK, Prometheus, Datadog, Grafana, Claude, Copilot 🏢 Description: About the Role This is an opportunity to join a growing company transforming healthcare technology through modern electronic billing, payments, and secure data exchange solutions across the Property & Casualty and Healthcare industries. As a Senior Full Stack Development Engineer, you will design, build, and maintain scalable applications and APIs that power mission-critical healthcare and insurance workflows. This role focuses on backend architecture, service development, data processing, and system integration, ensuring high performance, reliability, and maintainability across platforms. You will partner with product, engineering, and implementation teams to deliver robust backend capabilities supporting complex transaction processing and customer integrations. The role also leverages AI-assisted development tools (Claude Code, GitHub Copilot) and modern testing approaches to improve development speed, quality, and system reliability. This is a hybrid role based in Concord, California, with an expectation of working in the office at least two days per week. What You'll Do - Design, develop, and maintain backend services, APIs, and core platform components - Build scalable systems using Java and Spring Boot or similar frameworks - Develop and support RESTful APIs and service integrations across internal and external systems - Participate in system design and architecture discussions for scalable backend solutions - Work closely with product, implementation, QA, and engineering teams to define technical requirements - Support complex data processing, transformation, and integration workflows - Ensure backend systems are secure, reliable, and performant under high transaction volumes - Utilize AI tools to accelerate development, debugging, and analysis while maintaining high code quality - Contribute to CI/CD pipelines, deployment automation, and DevOps practices - Write clean, maintainable, and testable code with strong unit and integration test coverage - Apply modern engineering practices including shift-left testing and continuous quality improvement - Improve system observability through logging, monitoring, and diagnostics enhancements - Troubleshoot production and integration issues What You'll Need - Bachelor's degree or equivalent experience in Computer Science or related field - 8+ years of backend software engineering experience - Strong experience in Java and backend service development - Solid understanding of RESTful APIs and distributed systems design - Experience with Spring Boot or similar backend frameworks - Strong SQL experience (Oracle preferred) and familiarity with NoSQL databases - Experience working with cloud platforms (AWS, Azure, or GCP) - Experience with AI-assisted development tools (Copilot, Claude, or similar) - Experience with containerization (Docker) and orchestration (Kubernetes) - Familiarity with CI/CD pipelines (Jenkins or similar tools) - Deep understanding of Agile development methodologies - Experience building maintainable, scalable backend systems Nice to Have - Experience in healthcare, insurance, or financial services systems - Exposure to high-volume transaction processing or integration-heavy environments - Experience with event-driven architectures or messaging systems (Kafka, RabbitMQ) - Familiarity with Elastic Cloud - Experience with API testing or workflow automation tools (Playwright, Postman) - Knowledge of system observability tools (ELK, Prometheus, Datadog, Grafana) - Experience working with sensitive data and compliance requirements (HIPAA / PHI / PII) Compensation and Benefits Compensation ranges from $120,000 to $150,000 USD depending on qualifications and experience. In addition to base pay, employees may be eligible for performance-based bonuses and a comprehensive benefits package including medical, dental, and vision coverage, 401(k) with company match, and paid time off.