Jobs at Talent Software Services

Systems Engineer IV

Description: Tell us about your department: We are Infrastructure Platform Foundations team dedicated to platform automation and maintain operational excellence. Our culture emphasizes creativity, teamwork, and continuous learning. Project Description: Focuses on building automation tools that streamline AWS and On-Prem infrastructure management. These tools aim to reduce infrastructure sprawl, enforce consistent practices, and enhance visibility across the organization. By embedding governance, security, and cost control into the platform, we empower teams to operate efficiently and securely within a scalable cloud environment. Position Summary/Job Description: Implement infrastructure automation using Terraform. Manage configuration management using Chef. Design and maintain CI/CD pipelines processes. Define best practices for cloud security, monitoring, cost, and optimizations. Collaborate with cross-functional teams to integrate cloud solutions. Troubleshoot and resolve issues related to cloud infrastructure and services. Stay updated with AWS services, features, and industry trends to recommend improvements. On-call support for escalations and incidents. Skills Overview: What are the top five skills and number of years of experience required to perform this job? 10 years as a proven System Engineer, Platform Engineer, or DevOps Engineer focused on building platform automation tools and maintaining AWS infrastructure. 5 years of experience with Infrastructure as Code tools (Terraform or CloudFormation). 5 years of experience building CI/CD pipelines using DevOps practices. 3 years of experience with Configuration Management (Chef or Ansible). Strong understanding of networking, security, and scalability concepts in cloud environments. Effective collaboration skills to work with cross-functional teams to troubleshoot issues. Excellent communication skills to articulate complex technical concepts to non-technical stakeholders. What are some preferred/nice to have skills the manager is looking for? Direct Experience in building Internal Developer Platforms. Experience building applications using programming languages python, ruby, node or java. Experience working with ServiceNow, particularly with CMDB. Understanding container technologies including Docker, Kubernetes, EKS. Knowledge on Backstage Developer Portal for unified platform creation. Familiarity with agile methodologies and software development life cycle (SDLC). AWS certification (e.g. AWS solution architect). Interview Process Overview: Group and team fit interview. Technical aptitude interview.

Senior Software Engineer Specialist

Are you an experienced Senior Software Engineer Specialist with a desire to excel? If so, then Talent Software Services may have the job for you! Our client is seeking an experienced Senior Software Engineer Specialist to work at their company in Round Rock, TX. Senior Software Engineer (Full Stack Developer) Join us as a Senior Software Engineer on our Software Engineering team to do the best work of your career and make a profound social impact. What you'll achieve As a Senior Software Engineer, you will play a key role in designing and developing sophisticated systems and software solutions aligned with our Product Development customers' business goals and needs. Your work will focus on creating tools and platforms that enable streamlined infrastructure management, robust security, and standardized automation. These solutions will enhance the overall developer experience, improve operational efficiency, and accelerate delivery across engineering teams. You will: • Contribute to the design and architecture of new or modernized software environments • Prepare written software specifications based on architectural diagrams, design discussions, and technical requirements • Build and review design, functional, technical, and user documentation • Develop full stack features and services using modern front end and back end technologies • Implement highly reliable, scalable, and secure APIs and microservices • Collaborate with cross functional teams to ensure high quality delivery, including code reviews, design reviews, testing, and continuous integration Essential Requirements • 5-8 years of professional full stack software development experience, with deep expertise in both front end and back end engineering • Strong proficiency with Java or another enterprise server side language (e.g. Go, C#, etc.), including building microservices-based architectures • Familiarity with JavaScript/TypeScript and at least one modern UI framework such as React, Angular, or Vue • Strong Experience with RESTful API development, JSON, and XML • Experience building scalable, event-driven, or asynchronous architectures (e.g., Kafka, RabbitMQ, or equivalent) • Experience with relational and/or NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB) • Familiarity with CI/CD pipelines, Git, modern DevOps practices, and cloud-native development • Ability to design and implement complex software components with high quality, test coverage, and maintainability Desirable Requirements • Experience with ServiceNow development, including scripting, integrations, and platform configuration • Exposure to IPAM solutions or network services automation • Understanding of Spec-Driven Development and Agile/SCRUM methodologies • Experience with GitOps and Kubernetes (Helm, Kustomize, or similar tooling) • Exposure to Agentic AI / GenAI (Windsurf \& Devin) for workflow automation or intelligent developer tooling

Senior AI/ML Full Stack Engineer

Are you an experienced Senior AI/ML Full Stack Engineer with a desire to excel? If so, then Talent Software Services may have the job for you! Our client is seeking an experienced Senior AI/ML Full Stack Engineer to work in their company in New York, NY. Job Summary: Design, develop, and implement AI software solutions to address business needs. Assist the System Architect in the complete AI solution development and release lifecycle. Communicate with product managers, designers, data scientists, and other internal and external stakeholders to gather requirements. Help provide technical leadership to the software engineering team. Take direction from the System Architect and help lead the team through the software design, development, testing, and release cycle to deliver and support the final AI solutions on-prem or on cloud. Actively seek ways to improve the software development process and keep the team up to date on the latest software technologies and processes. Provide clear and accurate status reports to management and stakeholders as needed. Guide and coach members of the software engineering team. Responsible for designing and developing scalable AI solutions that combine large language models, retrieval systems, structured and unstructured data, cloud services, and user-facing applications. Build RAG pipelines, document ingestion workflows, semantic search, embeddings, prompt engineering, evaluation frameworks, guardrails, APIs, and production monitoring. Collaborate closely with product owners, clinical or business stakeholders, and technical teams to gather requirements, communicate tradeoffs, and deliver reliable, measurable AI solutions. Required Skills: Strong Python programming and SQL experience. Hands-on experience building Generative AI or RAG-based applications. Experience with LLMs, prompt engineering, embeddings, semantic search, query expansion, and citations. Experience with ML/NLP model development, evaluation, and performance monitoring. Familiarity with LLM evaluation metrics such as answer relevance, context relevance, faithfulness, hallucination reduction, and citation accuracy. Experience implementing AI safety guardrails, content moderation, blocked topics, or escalation logic. Experience with cloud platforms such as GCP, AWS, or OCI. Experience with tools such as Vertex AI, AWS Bedrock, SageMaker, BigQuery, Snowflake, OpenSearch, Cloud Run, Docker, Airflow, Terraform, or CI/CD pipelines. Experience working with healthcare, claims, clinical, regulatory, life sciences, or enterprise data preferred. Strong communication skills and ability to work with both technical and non-technical stakeholders. Education Requirements: Bachelor’s degree required in Computer Science, Data Science, Engineering, Biomedical Engineering, Statistics, Applied Mathematics, or a related technical field. Master’s degree or higher preferred in Data Science, Computer Science, Biomedical Engineering, Artificial Intelligence, Machine Learning, Engineering, or a related field. Relevant certifications or coursework in Generative AI, Machine Learning, Cloud AI platforms, Data Science, or MLOps are preferred.

Senior Software Engineer Specialist - United States

Senior Software Engineer (Full Stack Developer) Join us as a Senior Software Engineer on our Software Engineering team to do the best work of your career and make a profound social impact. What you'll achieve As a Senior Software Engineer, you will play a key role in designing and developing sophisticated systems and software solutions aligned with our Product Development customers' business goals and needs. Your work will focus on creating tools and platforms that enable streamlined infrastructure management, robust security, and standardized automation. These solutions will enhance the overall developer experience, improve operational efficiency, and accelerate delivery across engineering teams. You will: Contribute to the design and architecture of new or modernized software environments Prepare written software specifications based on architectural diagrams, design discussions, and technical requirements Build and review design, functional, technical, and user documentation Develop full stack features and services using modern front end and back end technologies Implement highly reliable, scalable, and secure APIs and microservices Collaborate with cross functional teams to ensure high quality delivery, including code reviews, design reviews, testing, and continuous integration Essential Requirements 5-8 years of professional full stack software development experience, with deep expertise in both front end and back end engineering Strong proficiency with Java or another enterprise server side language (e.g. Go, C#, etc.), including building microservices-based architectures Familiarity with JavaScript/TypeScript and at least one modern UI framework such as React, Angular, or Vue Strong Experience with RESTful API development, JSON, and XML Experience building scalable, event-driven, or asynchronous architectures (e.g., Kafka, RabbitMQ, or equivalent) Experience with relational and/or NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB) Familiarity with CI/CD pipelines, Git, modern DevOps practices, and cloud-native development Ability to design and implement complex software components with high quality, test coverage, and maintainability Desirable Requirements Experience with ServiceNow development, including scripting, integrations, and platform configuration Exposure to IPAM solutions or network services automation Understanding of Spec-Driven Development and Agile/SCRUM methodologies Experience with GitOps and Kubernetes (Helm, Kustomize, or similar tooling) * Exposure to Agentic AI / GenAI (Windsurf \& Devin) for workflow automation or intelligent developer tooling

AI Engineer

Job Summary The AI Engineer is responsible for building, testing, and deploying AI-powered solutions that address real-world healthcare challenges within our program. The AI Engineer will leverage enterprise AI models to create intelligent applications such as participant context engines, retrieval-augmented generation (RAG) pipelines, and agentic workflows. Staying current with the rapidly evolving AI landscape, the AI Engineer will translate emerging capabilities into production-ready solutions for our business. Collaboration with colleagues and stakeholders is essential to promote our values, team culture, and mission. Job Responsibilities Design, build, and deploy AI-powered applications using enterprise LLMs. Translate business requirements into production-ready AI solutions. Architect and implement RAG systems that ensure accuracy, relevance, and compliance with healthcare data standards. Own the full development lifecycle for new AI use cases from ideation through production deployment. Research and build agentic AI workflows using relevant frameworks. Architect and deploy AI services within private cloud environments, utilizing secure configurations. Evaluate and integrate across the frontier model landscape, selecting the right model for each use case. Implement AIOps and MLOps best practices to ensure AI applications are reliable, scalable, and maintainable. Continuously evaluate emerging AI tools, techniques, and model releases. Proactively recommend new approaches to improve participant outcomes, operational efficiency, or developer productivity. Complete all required documentation in a timely and accurate manner. Protect privacy and maintain confidentiality of all company procedures and information. Follow company policies and participate in required quality improvement activities, staff training, and meetings. Communicate regularly with the supervisor and team regarding workload and priorities. Complete all mandated trainings and education timely. Exercise flexibility in performing assignments as business needs evolve. Other duties as assigned. Required Skills \& Experience Minimum of three years of hands-on experience in AI/ML engineering or software engineering with a strong AI focus. Experience working with people from diverse backgrounds and cultures. Demonstrated experience designing and deploying retrieval augmented generation pipelines. Proven ability to build applications on top of commercial LLM APIs. Advanced proficiency in Python for AI application development. Hands-on experience with Azure AI services and Docker-based deployments. Proficiency with DevOps for building CI/CD pipelines. Solid understanding of agentic architectures and frameworks. Experience working in Agile/Scrum environments. Excellent organizational and communication skills. Ability to work independently with minimal supervision. Demonstrated ability to prioritize in a fast-paced environment. Commitment to unlocking the full potential of our most vulnerable seniors. Preferred Skills \& Experience Familiarity with HIPAA, PHI handling, and healthcare technology compliance requirements. Understanding of the PACE model of care and its technological implications. Experience benchmarking and comparing LLM providers. Secondary cloud experience with AWS AI/ML services. Education Required Education: Bachelor's Degree in Computer Science, AI, or Computer Engineering. Preferred Education: Master's Degree in the above fields. Schedule Full-time position, Monday through Friday, 8 am to 5 pm Pacific Standard Time. Must be based in the United States. Start Date: 06/15/2026 Hours Per Week: 40 Hours Per Day: 8 Days Per Week: 5

Senior Software Engineer Specialist - United States

Senior Software Engineer (Full Stack Developer) Join us as a Senior Software Engineer on our Software Engineering team to do the best work of your career and make a profound social impact. What you'll achieve As a Senior Software Engineer, you will play a key role in designing and developing sophisticated systems and software solutions aligned with our Product Development customers' business goals and needs. Your work will focus on creating tools and platforms that enable streamlined infrastructure management, robust security, and standardized automation. These solutions will enhance the overall developer experience, improve operational efficiency, and accelerate delivery across engineering teams. You will: Contribute to the design and architecture of new or modernized software environments Prepare written software specifications based on architectural diagrams, design discussions, and technical requirements Build and review design, functional, technical, and user documentation Develop full stack features and services using modern front end and back end technologies Implement highly reliable, scalable, and secure APIs and microservices Collaborate with cross functional teams to ensure high quality delivery, including code reviews, design reviews, testing, and continuous integration Essential Requirements 5-8 years of professional full stack software development experience, with deep expertise in both front end and back end engineering Strong proficiency with Java or another enterprise server side language (e.g. Go, C#, etc.), including building microservices-based architectures Familiarity with JavaScript/TypeScript and at least one modern UI framework such as React, Angular, or Vue Strong Experience with RESTful API development, JSON, and XML Experience building scalable, event-driven, or asynchronous architectures (e.g., Kafka, RabbitMQ, or equivalent) Experience with relational and/or NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB) Familiarity with CI/CD pipelines, Git, modern DevOps practices, and cloud-native development Ability to design and implement complex software components with high quality, test coverage, and maintainability Desirable Requirements Experience with ServiceNow development, including scripting, integrations, and platform configuration Exposure to IPAM solutions or network services automation Understanding of Spec-Driven Development and Agile/SCRUM methodologies Experience with GitOps and Kubernetes (Helm, Kustomize, or similar tooling) * Exposure to Agentic AI / GenAI (Windsurf \& Devin) for workflow automation or intelligent developer tooling

Senior AI/ML Full Stack Engineer

Are you an experienced Senior AI/ML Full Stack Engineer with a desire to excel? If so, then Talent Software Services may have the job for you! Our client is seeking an experienced Senior AI/ML Full Stack Engineer to work in their company in New York, NY. Job Summary: Design, develop, and implement AI software solutions to address business needs. Assist the System Architect in the complete AI solution development and release lifecycle. Communicate with product managers, designers, data scientists, and other internal and external stakeholders to gather requirements. Help provide technical leadership to the software engineering team. Take direction from the System Architect and help lead the team through the software design, development, testing, and release cycle to deliver and support the final AI solutions on-prem or on cloud. Actively seek ways to improve the software development process and keep the team up to date on the latest software technologies and processes. Provide clear and accurate status reports to management and stakeholders as needed. Guide and coach members of the software engineering team. Responsible for designing and developing scalable AI solutions that combine large language models, retrieval systems, structured and unstructured data, cloud services, and user-facing applications. Build RAG pipelines, document ingestion workflows, semantic search, embeddings, prompt engineering, evaluation frameworks, guardrails, APIs, and production monitoring. Collaborate closely with product owners, clinical or business stakeholders, and technical teams to gather requirements, communicate tradeoffs, and deliver reliable, measurable AI solutions. Required Skills: Strong Python programming and SQL experience. Hands-on experience building Generative AI or RAG-based applications. Experience with LLMs, prompt engineering, embeddings, semantic search, query expansion, and citations. Experience with ML/NLP model development, evaluation, and performance monitoring. Familiarity with LLM evaluation metrics such as answer relevance, context relevance, faithfulness, hallucination reduction, and citation accuracy. Experience implementing AI safety guardrails, content moderation, blocked topics, or escalation logic. Experience with cloud platforms such as GCP, AWS, or OCI. Experience with tools such as Vertex AI, AWS Bedrock, SageMaker, BigQuery, Snowflake, OpenSearch, Cloud Run, Docker, Airflow, Terraform, or CI/CD pipelines. Experience working with healthcare, claims, clinical, regulatory, life sciences, or enterprise data preferred. Strong communication skills and ability to work with both technical and non-technical stakeholders. Education Requirements: Bachelor’s degree required in Computer Science, Data Science, Engineering, Biomedical Engineering, Statistics, Applied Mathematics, or a related technical field. Master’s degree or higher preferred in Data Science, Computer Science, Biomedical Engineering, Artificial Intelligence, Machine Learning, Engineering, or a related field. Relevant certifications or coursework in Generative AI, Machine Learning, Cloud AI platforms, Data Science, or MLOps are preferred.

Senior Software Engineer Specialist

Are you an experienced Senior Software Engineer Specialist with a desire to excel? If so, then Talent Software Services may have the job for you! Our client is seeking an experienced Senior Software Engineer Specialist to work at their company in Round Rock, TX. Senior Software Engineer (Full Stack Developer) Join us as a Senior Software Engineer on our Software Engineering team to do the best work of your career and make a profound social impact. What you'll achieve As a Senior Software Engineer, you will play a key role in designing and developing sophisticated systems and software solutions aligned with our Product Development customers' business goals and needs. Your work will focus on creating tools and platforms that enable streamlined infrastructure management, robust security, and standardized automation. These solutions will enhance the overall developer experience, improve operational efficiency, and accelerate delivery across engineering teams. You will: • Contribute to the design and architecture of new or modernized software environments • Prepare written software specifications based on architectural diagrams, design discussions, and technical requirements • Build and review design, functional, technical, and user documentation • Develop full stack features and services using modern front end and back end technologies • Implement highly reliable, scalable, and secure APIs and microservices • Collaborate with cross functional teams to ensure high quality delivery, including code reviews, design reviews, testing, and continuous integration Essential Requirements • 5-8 years of professional full stack software development experience, with deep expertise in both front end and back end engineering • Strong proficiency with Java or another enterprise server side language (e.g. Go, C#, etc.), including building microservices-based architectures • Familiarity with JavaScript/TypeScript and at least one modern UI framework such as React, Angular, or Vue • Strong Experience with RESTful API development, JSON, and XML • Experience building scalable, event-driven, or asynchronous architectures (e.g., Kafka, RabbitMQ, or equivalent) • Experience with relational and/or NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB) • Familiarity with CI/CD pipelines, Git, modern DevOps practices, and cloud-native development • Ability to design and implement complex software components with high quality, test coverage, and maintainability Desirable Requirements • Experience with ServiceNow development, including scripting, integrations, and platform configuration • Exposure to IPAM solutions or network services automation • Understanding of Spec-Driven Development and Agile/SCRUM methodologies • Experience with GitOps and Kubernetes (Helm, Kustomize, or similar tooling) • Exposure to Agentic AI / GenAI (Windsurf \& Devin) for workflow automation or intelligent developer tooling

Systems Engineer IV

Description: Tell us about your department: We are Infrastructure Platform Foundations team dedicated to platform automation and maintain operational excellence. Our culture emphasizes creativity, teamwork, and continuous learning. Project Description: Focuses on building automation tools that streamline AWS and On-Prem infrastructure management. These tools aim to reduce infrastructure sprawl, enforce consistent practices, and enhance visibility across the organization. By embedding governance, security, and cost control into the platform, we empower teams to operate efficiently and securely within a scalable cloud environment. Position Summary/Job Description: Implement infrastructure automation using Terraform. Manage configuration management using Chef. Design and maintain CI/CD pipelines processes. Define best practices for cloud security, monitoring, cost, and optimizations. Collaborate with cross-functional teams to integrate cloud solutions. Troubleshoot and resolve issues related to cloud infrastructure and services. Stay updated with AWS services, features, and industry trends to recommend improvements. On-call support for escalations and incidents. Skills Overview: What are the top five skills and number of years of experience required to perform this job? 10 years as a proven System Engineer, Platform Engineer, or DevOps Engineer focused on building platform automation tools and maintaining AWS infrastructure. 5 years of experience with Infrastructure as Code tools (Terraform or CloudFormation). 5 years of experience building CI/CD pipelines using DevOps practices. 3 years of experience with Configuration Management (Chef or Ansible). Strong understanding of networking, security, and scalability concepts in cloud environments. Effective collaboration skills to work with cross-functional teams to troubleshoot issues. Excellent communication skills to articulate complex technical concepts to non-technical stakeholders. What are some preferred/nice to have skills the manager is looking for? Direct Experience in building Internal Developer Platforms. Experience building applications using programming languages python, ruby, node or java. Experience working with ServiceNow, particularly with CMDB. Understanding container technologies including Docker, Kubernetes, EKS. Knowledge on Backstage Developer Portal for unified platform creation. Familiarity with agile methodologies and software development life cycle (SDLC). AWS certification (e.g. AWS solution architect). Interview Process Overview: Group and team fit interview. Technical aptitude interview.

AI Engineer

Job Summary The AI Engineer is responsible for building, testing, and deploying AI-powered solutions that address real-world healthcare challenges within our program. The AI Engineer will leverage enterprise AI models to create intelligent applications such as participant context engines, retrieval-augmented generation (RAG) pipelines, and agentic workflows. Staying current with the rapidly evolving AI landscape, the AI Engineer will translate emerging capabilities into production-ready solutions for our business. Collaboration with colleagues and stakeholders is essential to promote our values, team culture, and mission. Job Responsibilities Design, build, and deploy AI-powered applications using enterprise LLMs. Translate business requirements into production-ready AI solutions. Architect and implement RAG systems that ensure accuracy, relevance, and compliance with healthcare data standards. Own the full development lifecycle for new AI use cases from ideation through production deployment. Research and build agentic AI workflows using relevant frameworks. Architect and deploy AI services within private cloud environments, utilizing secure configurations. Evaluate and integrate across the frontier model landscape, selecting the right model for each use case. Implement AIOps and MLOps best practices to ensure AI applications are reliable, scalable, and maintainable. Continuously evaluate emerging AI tools, techniques, and model releases. Proactively recommend new approaches to improve participant outcomes, operational efficiency, or developer productivity. Complete all required documentation in a timely and accurate manner. Protect privacy and maintain confidentiality of all company procedures and information. Follow company policies and participate in required quality improvement activities, staff training, and meetings. Communicate regularly with the supervisor and team regarding workload and priorities. Complete all mandated trainings and education timely. Exercise flexibility in performing assignments as business needs evolve. Other duties as assigned. Required Skills \& Experience Minimum of three years of hands-on experience in AI/ML engineering or software engineering with a strong AI focus. Experience working with people from diverse backgrounds and cultures. Demonstrated experience designing and deploying retrieval augmented generation pipelines. Proven ability to build applications on top of commercial LLM APIs. Advanced proficiency in Python for AI application development. Hands-on experience with Azure AI services and Docker-based deployments. Proficiency with DevOps for building CI/CD pipelines. Solid understanding of agentic architectures and frameworks. Experience working in Agile/Scrum environments. Excellent organizational and communication skills. Ability to work independently with minimal supervision. Demonstrated ability to prioritize in a fast-paced environment. Commitment to unlocking the full potential of our most vulnerable seniors. Preferred Skills \& Experience Familiarity with HIPAA, PHI handling, and healthcare technology compliance requirements. Understanding of the PACE model of care and its technological implications. Experience benchmarking and comparing LLM providers. Secondary cloud experience with AWS AI/ML services. Education Required Education: Bachelor's Degree in Computer Science, AI, or Computer Engineering. Preferred Education: Master's Degree in the above fields. Schedule Full-time position, Monday through Friday, 8 am to 5 pm Pacific Standard Time. Must be based in the United States. Start Date: 06/15/2026 Hours Per Week: 40 Hours Per Day: 8 Days Per Week: 5

Senior Software Engineer Specialist - United States

Senior Software Engineer (Full Stack Developer) Join us as a Senior Software Engineer on our Software Engineering team to do the best work of your career and make a profound social impact. What you'll achieve As a Senior Software Engineer, you will play a key role in designing and developing sophisticated systems and software solutions aligned with our Product Development customers' business goals and needs. Your work will focus on creating tools and platforms that enable streamlined infrastructure management, robust security, and standardized automation. These solutions will enhance the overall developer experience, improve operational efficiency, and accelerate delivery across engineering teams. You will: * Contribute to the design and architecture of new or modernized software environments * Prepare written software specifications based on architectural diagrams, design discussions, and technical requirements * Build and review design, functional, technical, and user documentation * Develop full stack features and services using modern front end and back end technologies * Implement highly reliable, scalable, and secure APIs and microservices * Collaborate with cross functional teams to ensure high quality delivery, including code reviews, design reviews, testing, and continuous integration Essential Requirements * 5-8 years of professional full stack software development experience, with deep expertise in both front end and back end engineering * Strong proficiency with Java or another enterprise server side language (e.g. Go, C#, etc.), including building microservices-based architectures * Familiarity with JavaScript/TypeScript and at least one modern UI framework such as React, Angular, or Vue * Strong Experience with RESTful API development, JSON, and XML * Experience building scalable, event-driven, or asynchronous architectures (e.g., Kafka, RabbitMQ, or equivalent) * Experience with relational and/or NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB) * Familiarity with CI/CD pipelines, Git, modern DevOps practices, and cloud-native development * Ability to design and implement complex software components with high quality, test coverage, and maintainability Desirable Requirements * Experience with ServiceNow development, including scripting, integrations, and platform configuration * Exposure to IPAM solutions or network services automation * Understanding of Spec-Driven Development and Agile/SCRUM methodologies * Experience with GitOps and Kubernetes (Helm, Kustomize, or similar tooling) * Exposure to Agentic AI / GenAI (Windsurf \& Devin) for workflow automation or intelligent developer tooling

Business Analyst 2

Business Analyst 2