Axiom Software Solutions Limited

Responsible for managing all aspects of the project from planning to operation turnover of ITD initiatives. Tracks budget and resources, ensures compliance with policies, and prepares reports to identify trends and recommend solutions. | Requires a strong background in delivering PACS/Radiology related projects with 8+ years of Project Management experience. Experience with Radiology and/or Cardiology PACS implementations and a strong understanding of hospital operations is essential. | Role: Project Manager Location: Phoenix AZ (Remote) Position Type: Contract Mandatory Skills: Strong background in delivering PACS/Radiology related projects Job Description: • Responsible for managing all aspects of the project from planning, design, development implementation, testing, training, deployment, customer adoption and operation turnover of the ITD initiatives. • Tracks assigned budget and resources for each project. Prepares cost estimates and cost recommendations. Monitors expenditures. • Ensure compliance with all policies, financial stewardship by being accountable for the financial integrity around development and maintenance of project budget. • Proactively prepare reports and or documentation providing business details to staff and management identifying business and patient trends, defining metrics, and recommending solutions. • Contributes to the implementation of the department's operational and strategic goals and objectives. Ensures departments collaboration on achievement of goals and objectives. • The job summary and responsibilities listed above are designed to indicate the general nature of the work performed within this job. They are not designed to contain or be interpreted as a comprehensive inventory of all job responsibilities required of employees assigned to this job. Employees may be required to perform other duties as assigned. • Experience with Radiology and/or Cardiology PACS implementations • Experience deploying Merge's Radiology and Cardiology PACS & hemodynamic systems. • strong Project/Program Management experience in a Healthcare Provider domain • 8+ years of Project Management experience. • Experience in Project Management methodologies and tool sets –waterfall Giles crum, planning, issue escalation, problem resolution, conflict and collision • management, metrics and reporting, communications, etc. • 5+ years' experience with strong functional understanding of hospital, clinic, and billing operations.

The Site Reliability Engineer will design, implement, and manage Kubernetes environments, ensuring scalable and reliable infrastructure. They will also develop monitoring solutions, conduct incident response, and collaborate with development teams to enhance application reliability. | Candidates should have 5-7 years of experience in SRE or DevOps roles with strong expertise in Kubernetes and Linux/Unix systems. Proficiency in programming and database administration is also required. | Role: Site Reliability Engineer (Ex - Fidelity Exp) Location: Remote Position Type: Contract Key Responsibilities • Design, implement, and manage Kubernetes environments from deployment to configuration, monitoring, and troubleshooting • Build and maintain scalable and reliable infrastructure using infrastructure as code principles • Develop comprehensive monitoring solutions and implement alerting strategies • Analyze system performance bottlenecks and implement improvements • Implement and maintain CI/CD pipelines for seamless deployments • Conduct incident response, root cause analysis, and implement preventative measures • Create and enhance automation tools leveraging AI/ML where applicable • Collaborate with development teams to improve application reliability and performance Required Qualifications • 5-7 years of experience in SRE or DevOps roles • Strong expertise with Kubernetes ecosystem and container orchestration • Deep understanding of Linux/Unix operating systems and performance analysis tools (NMON, etc.) • Experience with log analysis, monitoring systems, and observability tools • Proficiency in database administration and performance tuning (Oracle, SQL Server) • Strong programming skills in at least one of: Python, Go, Java, or Node.js • Experience developing automation tools and frameworks • Proven track record of proactive problem identification and resolution Preferred Qualifications • Experience with AI/ML integration into operational workflows • Cloud platform experience (AWS, GCP, Azure) • Knowledge of service mesh technologies • Experience with distributed systems architecture • Familiarity with security best practices and compliance requirements Personal Qualities • Proactive mindset with strong analytical and problem-solving abilities • Collaborative approach to working across development and operations teams • Excellent communication skills and ability to explain complex technical concepts • Self-motivated with the ability to work independently and as part of a team • Passion for continuous improvement and learning

The Guidewire Developer will be responsible for configuring and customizing Guidewire Policy Center and Claim Center. They will translate business requirements into technical solutions within the Guidewire platform. | Candidates should have strong expertise in Guidewire configuration and customization, along with proficiency in data models and integration technologies. Excellent problem-solving and communication skills are essential for effective collaboration with cross-functional teams. | Role: Guidewire Developer Location - Jersey City (Remote) Position Type: Contract Skill Requirements • Strong expertise in guidewire policy center and guidewire claim center configuration and customization. • Proficiency in guidewire data model, rules, and integration technologies. • Ability to translate business requirements into technical solutions within guidewire platform. • Excellent problem-solving skills and attention to detail. • Strong communication and interpersonal skills to work effectively with cross functional teams. Certifications: Guidewire certification in PolicyCenter and/or ClaimCenter will be a plus. Role: Guidewire Developer Location - Jersey City (Remote) Position Type: Contract Skill Requirements • Strong expertise in guidewire policy center and guidewire claim center configuration and customization. • Proficiency in guidewire data model, rules, and integration technologies. • Ability to translate business requirements into technical solutions within guidewire platform. • Excellent problem-solving skills and attention to detail. • Strong communication and interpersonal skills to work effectively with cross functional teams. Certifications: Guidewire certification in PolicyCenter and/or ClaimCenter will be a plus. Role: Guidewire Developer Location - Jersey City (Remote) Position Type: Contract Skill Requirements • Strong expertise in guidewire policy center and guidewire claim center configuration and customization. • Proficiency in guidewire data model, rules, and integration technologies. • Ability to translate business requirements into technical solutions within guidewire platform. • Excellent problem-solving skills and attention to detail. • Strong communication and interpersonal skills to work effectively with cross functional teams. Certifications: Guidewire certification in PolicyCenter and/or ClaimCenter will be a plus.

The Network Engineer L3 will design, implement, and support enterprise and data center network architectures while ensuring optimal performance and reliability. This role involves configuring and troubleshooting network devices and collaborating with infrastructure teams on network-related projects. | Candidates should have extensive experience in routing and switching, with strong knowledge of protocols like BGP and OSPF. Familiarity with Cisco and Arista platforms, as well as experience in SDWAN design and deployment, is also required. | Role: Network Engineer L3 Location: Suwannee, GA 30024 Duration: Contract About the Role As a Network Engineer L3, you will play a key role in architecting, implementing, and supporting advanced data center and enterprise network environments. The ideal candidate is expected to bring a strong background in routing, switching, and data center design, with a focus on high availability, scalability, and performance. This position requires hands-on expertise in a multi-vendor environment with a strong inclination toward network optimization and troubleshooting. Key Responsibilities Design, implement, and support enterprise and data center network architectures using industry best practices. Configure, manage, and troubleshoot network devices including switches, routers, firewalls, and wireless controllers, with expertise in Cisco, Arista, and Aruba platforms. Deploy and manage WAN optimization technologies such as WAN accelerators (e.g., Riverbed) and SDWAN solutions (e.g., Silverpeak). Oversee network connectivity, performance, and reliability for both internal and client-facing environments. Monitor and optimize network infrastructure, proactively identifying and resolving issues to ensure optimal uptime and throughput. Work closely with infrastructure teams on network-related projects, providing high-level technical support and guidance. Document network configurations, topologies, and procedures to maintain robust operational standards. Participate in network on-call support rotations and respond to network incidents efficiently. Required Skills & Experience Extensive experience in routing and switching, including data center architectures and basic network troubleshooting. Strong knowledge and hands-on experience with protocols such as BGP, OSPF, and VxLAN. Working knowledge of Cisco ACI, Cisco Nexus switches, and modern Arista network fabrics. Proficient with Arista and Aruba switch configurations, Aruba wireless deployments, Silverpeak SDWAN, and Riverbed WAN Accelerators. Understanding of data center network design principles, including high-availability, redundancy, and multi-vendor interoperability. Experience with SDWAN design, deployment, and troubleshooting. Preferred Qualifications Certifications such as CCNA, CCNP, CCIE (or equivalent). Experience automating network management tasks using scripting languages or automation tools is a plus. Prior exposure to designing enterprise-scale data centers. Demonstrated ability to diagnose and resolve complex network issues quickly. Strong communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders. Additional Details Location: This role is based in Suwannee, GA 30024. Remote work is subject to project requirements and company policy. Type: Contract position. Schedule: Standard business hours with some on-call/off-hours responsibilities.

The Software Engineer will be responsible for developing and maintaining software applications using .NET technologies. The role requires collaboration with cross-functional teams to ensure high-quality software delivery. | Candidates should have over 5 years of .NET experience and proficiency in relational and NoSQL databases. A strong understanding of cloud services, CI/CD pipelines, and testing frameworks is also required. | Role: Software Engineer (.Net experience) Location: Chandler, AZ/Irving, TX and Charlotte, NC Duration: Contract Job Description: • 5+ years.NET experience • Database Knowledge: Proficiency in working with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis). • Understanding of APIs, OAuth, JSON, and Apigee. • Cloud Services: Experience with cloud platforms like AWS, Azure, or Google Cloud, and familiarity with DevOps practices. • CI/CD Pipelines: Experience in setting up and managing CI/CD pipelines. • Containerization: Familiarity with Docker and Kubernetes for containerization and orchestration. • Testing Frameworks: Experience with testing frameworks such as Jest, Mocha, PyTest, or others. • leadership skills and the ability to work independently • deep understanding of the principles of the Software Development Lifecycle (SDLC) • Strong experience with GIT and version control workflows

Develop and maintain front-end and back-end web applications, build APIs, optimize performance, and deploy to cloud or on-prem environments. | Proven full stack development experience with JavaScript and modern frameworks, back-end skills including Node.js, Python, Java or .NET, database knowledge, cloud platform familiarity, and containerization experience. | About the Role: We are seeking a talented and versatile Full Stack Developer to join our team. In this role, you will be responsible for developing, maintaining, and optimizing web applications across both the front-end and back-end. You will work closely with designers, product managers, and other developers to deliver high-quality, scalable, and secure solutions. Key Responsibilities: Design, develop, and maintain responsive front-end applications using HTML, CSS, JavaScript, and modern frameworks (React, Angular, or Vue.js). Build and optimize back-end services and APIs using Node.js, Python, Java, or .NET. Work with databases (SQL and NoSQL) for efficient data storage and retrieval. Implement and maintain RESTful APIs or GraphQL services. Collaborate with UI/UX designers to implement user-friendly interfaces. Write clean, maintainable, and testable code following best practices. Optimize applications for maximum performance, scalability, and security. Work with version control tools like Git and participate in code reviews. Deploy applications to cloud environments (AWS, Azure, GCP) or on-prem servers. Troubleshoot and resolve bugs, bottlenecks, and performance issues. Required Skills & Qualifications: Proven experience as a Full Stack Developer or similar role. Strong proficiency in JavaScript and one or more modern front-end frameworks (React, Angular, Vue.js). Experience with back-end technologies like Node.js, Python, Java, .NET, or similar. Knowledge of SQL (MySQL, PostgreSQL) and NoSQL (MongoDB, DynamoDB) databases. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). Understanding of API design, microservices architecture, and CI/CD pipelines. Strong problem-solving skills and attention to detail. Good understanding of security practices (authentication, authorization, encryption). Nice to Have: Experience with DevOps tools (Jenkins, GitHub Actions, Terraform).

The ML Engineer will build efficient, data-driven AI systems to enhance predictive automation capabilities. They will collaborate with data professionals to optimize machine learning models and construct data pipelines. | Candidates should have 5-10 years of experience in machine learning and be proficient in programming and statistics. Hands-on experience with various ML frameworks and APIs is essential. | Role : ML Engineer Location : Sunnyvale CA or Austin, TX (Hybrid) Duration: W2 contract only. Job Description: • A 5-10 years experienced machine learning engineer to build efficient, data-driven artificial intelligence systems that advance our predictive automation capabilities. • The candidate should be highly skilled in statistics and programming, with the ability to confidently assess, analyze, and organize large amounts of data. • The candidate should also be able to execute tests and optimize machine learning models and algorithms. • Solve complex problems with multi-layered data sets, and optimize existing machine learning libraries and frameworks • Collaborate with other data scientists, data analysts, data engineers, and data architects on production systems and applications • Identify differences in data distribution that could potentially affect model performance in real-world applications • Construct optimized data pipelines to feed machine learning models • Run machine learning tests and experiments, and document findings and results • Train, retrain, and monitor machine learning systems and models as needed Required Skills : • Hands on with Python(Oops Concepts, LaMDA), TensorFlow, PyTorch, and Keras,ML(Statistical Model, Neural N/w etc), • Experience with Fast API, Rest API • Hands on SQL knowledge • Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms • Proficiency in machine learning and deep learning, including neural networks and large language models (LLMs