Senior Full Stack Developer
for section headings. Use - for any list of duties/requirements/benefits, and
for prose. Remove boilerplate like "Powered by JazzHR U3qPETgu7V". Also remove cookie/navigation/legal/EEO etc. There's none. Also remove duplicated lines. We need to preserve all substantive information.
We need to decide sections: About the role (maybe intro paragraph), Responsibilities (list), Requirements (maybe technical skills required), Qualifications (maybe experience level?), Skills (maybe technical skills list?), but we need to avoid duplication. The instruction: Prefer a few substantive sections over many thin ones. So we can combine.
We have: About the role: description of company and role. Could be a paragraph.
Responsibilities: list of core responsibilities (bulleted). We have many responsibilities listed.
Requirements: maybe "Technical Skills Required" and "Experience Level & Expertise". Could be a combined section.
Qualifications: maybe "Nice-to-Have Skills" and "Soft Skills & Work Culture Match". Could be separate or combined.
But we need to avoid filler like "commensurate with experience". Not present.
We need to ensure we don't create Pay/Benefits/Schedule sections.
Thus output HTML with sections: About the role, Responsibilities, Requirements, Qualifications.
Let's extract content.
About the role: "Anika Systems is an outcome-driven technology consulting firm that helps federal agencies solve complex business challenges and prepare for the future. Our services span Artificial Intelligence, Intelligent Automation, Data Science, Digital Transformation, and Cloud, with a specialized focus on National Security, Federal Financials and Federal Civilian agencies. We are dedicated to delivering innovative solutions that support the critical missions of our government clients. This opportunity is 100% remote. We are looking for a Senior Full-Stack Developer to join our fast-paced enterprise engineering team. In this senior-level role, you will champion legacy modernization initiatives, systematically breaking down monolithic architectures, legacy databases, and older web frameworks into high-transaction web interfaces and scalable, modern backend solutions across dynamic hybrid infrastructure setups (On-Premises OpenShift & AWS Cloud). The ideal candidate thrives in aggressive, high-velocity delivery environments, possesses a proven track record of migrating legacy enterprise systems, values proactive team leadership, and actively leverages modern AI-assisted engineering tools to accelerate software development lifecycles without sacrificing code quality. Candidates must be a U.S. Citizen with an active Department of Treasury MBI."
That's a lot; we can keep as paragraph(s). Might split into two paragraphs: company overview and role description.
Responsibilities: list bullet points from "Core Responsibilities" section.
Let's extract each bullet:
- Legacy Modernization: Analyze, decouple, and migrate legacy enterprise systems (monoliths, older Java frameworks, complex store procedures) into a clean, decoupled microservices or modular architecture
- Front-End Architecture: Design and optimize highly responsive web UIs using React, transforming legacy server-rendered views or desktop applications into sleek interfaces while managing complex client-side caching via Redux
- Back-End Engineering: Build secure, high-throughput RESTful services using Java and Spring Boot, while implementing automated, high-volume bulk data pipelines via Spring Batch to replace outdated legacy batch processing routines
- Data Migration & Management: Model structured corporate data using JPA and Hibernate ORM to bridge legacy data stores with modern Oracle production databases
- Test Automation Execution: Author and maintain automated end-to-end testing frameworks, mock environments, and isolation tests using Selenium, JUnit 5, and Mockito to ensure zero regressions during modernization phases
- Hybrid Infrastructure & DevOps: Author and maintain automated CI/CD workflows using GitHub Actions to cleanly package, containerize, and deploy modernized services across AWS Cloud and OpenShift Container Platform environments
- AI-Driven Delivery: Integrate generative AI tools (GitHub Copilot, ChatGPT, Claude) into daily workflows to drastically accelerate boilerplate generation, legacy code refactoring, and query optimization
- Agile Collaboration: Partner closely with architectural leads, product owners, and QA engineers within highly demanding Sprint cycles to ship reliable, well-documented code under tight deadlines
We'll put each as
- .
Requirements: combine "Technical Skills Required" and "Experience Level & Expertise". Let's extract:
Experience Level & Expertise: 10–12 years of professional experience in enterprise-grade software engineering, with a strong emphasis on system transformations, refactoring legacy codebases, and application modernization strategies
Presentation & Layout Layer Languages & Core: JavaScript (ES6+), HTML5, CSS3
Frameworks & State: React.js, Redux (or Redux Toolkit)
Ecosystem Tools: VS Code, NPM
Business Logic & Persistence Layer Frameworks: Java, Spring Boot, Spring Security
Bulk Processing: Spring Batch (Job, Step, Chunk-based processing configurations)
Data & Relational: JPA / Hibernate, Oracle DB (SQL optimization, indexing, migrating legacy stored procedures), and H2 Database (for in-memory testing)
Ecosystem Tools: Eclipse IDE, Maven
Testing & Mocking Frameworks Layer
Back-End Unit & Mock Testing: Advanced capability with JUnit 5 and Mockito for structural logic isolation, stubbing behaviors, and legacy code behavioral verification
Front-End Unit Testing: UI isolation and state tracking using Jest and React Testing Library
Web UI Automation: Strong hands-on experience building and maintaining automated UI regression suites using tools like Selenium WebDriver (Java or JavaScript bindings)
Infrastructure & Automation
Cloud & Hosting Platforms: Hybrid environment design spanning AWS (Amazon Web Services) and OpenShift Container Platform (OCP)
CI/CD Pipeline: GitHub Actions workflow orchestration (integrating automated execution of unit, mocking, and Selenium testing blocks)
Containerization: Docker / container lifecycle management
Version Control: Git, GitHub, GitLab
Rapid Application Development Practical experience using GitHub Copilot, ChatGPT, or Claude for syntax generation, deciphering legacy code patterns, query optimization, and rapid debugging
We can list these as bullet points under Requirements.
Qualifications: Nice-to-Have Skills and Soft Skills & Work Culture Match.
Nice-to-Have Skills: Robotic Process Automation (RPA): Experience building or maintaining automated internal workflows using tools such as UiPath or Microsoft PowerApps
Soft Skills & Work Culture Match:
- High-Pressure Resilience: Proven experience delivering production-grade code within fast-paced, highly demanding corporate settings
- Change Leadership: Ability to safely lead teams through architectural paradigms shifts without disrupting day-to-day business operations
- Team-First Mindset: Active participant and leader in peer code reviews, architectural discussions, and cross-functional troubleshooting sessions
- Clear Communicator: Ability to articulate complex backend or deployment blockers concisely to non-technical stakeholders
We can combine as Qualifications section with bullet points.
We must not repeat job title as heading. No Job ID.
We must output only HTML fragment.
Let's craft:
About the role
Anika Systems is an outcome-driven technology consulting firm that helps federal agencies solve complex business challenges and prepare for the future. Our services span Artificial Intelligence, Intelligent Automation, Data Science, Digital Transformation, and Cloud, with a specialized focus on National Security, Federal Financials and Federal Civilian agencies. We are dedicated to delivering innovative solutions that support the critical missions of our government clients. This opportunity is 100% remote. We are looking for a Senior Full-Stack Developer to join our fast-paced enterprise engineering team. In this senior-level role, you will champion legacy modernization initiatives, systematically breaking down monolithic architectures, legacy databases, and older web frameworks into high-transaction web interfaces and scalable, modern backend solutions across dynamic hybrid infrastructure setups (On-Premises OpenShift & AWS Cloud). The ideal candidate thrives in aggressive, high-velocity delivery environments, possesses a proven track record of migrating legacy enterprise systems, values proactive team leadership, and actively leverages modern AI-assisted engineering tools to accelerate software development lifecycles without sacrificing code quality. Candidates must be a U.S. Citizen with an active Department of Treasury MBI.
Responsibilities
- Legacy Modernization: Analyze, decouple, and migrate legacy enterprise systems (monoliths, older Java frameworks, complex store procedures) into a clean, decoupled microservices or modular architecture
- Front-End Architecture: Design and optimize highly responsive web UIs using React, transforming legacy server-rendered views or desktop applications into sleek interfaces while managing complex client-side caching via Redux
- Back-End Engineering: Build secure, high-throughput RESTful services using Java and Spring Boot, while implementing automated, high-volume bulk data pipelines via Spring Batch to replace outdated legacy batch processing routines
- Data Migration & Management: Model structured corporate data using JPA and Hibernate ORM to bridge legacy data stores with modern Oracle production databases
- Test Automation Execution: Author and maintain automated end-to-end testing frameworks, mock environments, and isolation tests using Selenium, JUnit 5, and Mockito to ensure zero regressions during modernization phases
- Hybrid Infrastructure & DevOps: Author and maintain automated CI/CD workflows using GitHub Actions to cleanly package, containerize, and deploy modernized services across AWS Cloud and OpenShift Container Platform environments
- AI-Driven Delivery: Integrate generative AI tools (GitHub Copilot, ChatGPT, Claude) into daily workflows to drastically accelerate boilerplate generation, legacy code refactoring, and query optimization
- Agile Collaboration: Partner closely with architectural leads, product owners, and QA engineers within highly demanding Sprint cycles to ship reliable, well-documented code under tight deadlines
Requirements
- Experience Level & Expertise: 10–12 years of professional experience in enterprise-grade software engineering, with a strong emphasis on system transformations, refactoring legacy codebases, and application modernization strategies
- Presentation & Layout Layer: JavaScript (ES6+), HTML5, CSS3
- Frameworks & State: React.js, Redux (or Redux Toolkit)
- Ecosystem Tools: VS Code, NPM
- Business Logic & Persistence Layer: Java, Spring Boot, Spring Security
- Bulk Processing: Spring Batch (Job, Step, Chunk-based processing configurations)
- Data & Relational: JPA / Hibernate, Oracle DB (SQL optimization, indexing, migrating legacy stored procedures), and H2 Database (for in-memory testing)
- Ecosystem Tools: Eclipse IDE, Maven
- Back-End Unit & Mock Testing: Advanced capability with JUnit 5 and Mockito for structural logic isolation, stubbing behaviors, and legacy code behavioral verification
- Front-End Unit Testing: UI isolation and state tracking using Jest and React Testing Library
- Web UI Automation: Strong hands-on experience building and maintaining automated UI regression suites using tools like Selenium WebDriver (Java or JavaScript bindings)
- Infrastructure & Automation – Cloud & Hosting Platforms: Hybrid environment design spanning AWS (Amazon Web Services) and OpenShift Container Platform (OCP)
- CI/CD Pipeline: GitHub Actions workflow orchestration (integrating automated execution of unit, mocking, and Selenium testing blocks)
- Containerization: Docker / container lifecycle management
- Version Control: Git, GitHub, GitLab
- Rapid Application Development: Practical experience using GitHub Copilot, ChatGPT, or Claude for syntax generation
for prose. Remove boilerplate like "Powered by JazzHR U3qPETgu7V". Also remove cookie/navigation/legal/EEO etc. There's none. Also remove duplicated lines. We need to preserve all substantive information. We need to decide sections: About the role (maybe intro paragraph), Responsibilities (list), Requirements (maybe technical skills required), Qualifications (maybe experience level?), Skills (maybe technical skills list?), but we need to avoid duplication. The instruction: Prefer a few substantive sections over many thin ones. So we can combine. We have: About the role: description of company and role. Could be a paragraph. Responsibilities: list of core responsibilities (bulleted). We have many responsibilities listed. Requirements: maybe "Technical Skills Required" and "Experience Level & Expertise". Could be a combined section. Qualifications: maybe "Nice-to-Have Skills" and "Soft Skills & Work Culture Match". Could be separate or combined. But we need to avoid filler like "commensurate with experience". Not present. We need to ensure we don't create Pay/Benefits/Schedule sections. Thus output HTML with sections: About the role, Responsibilities, Requirements, Qualifications. Let's extract content. About the role: "Anika Systems is an outcome-driven technology consulting firm that helps federal agencies solve complex business challenges and prepare for the future. Our services span Artificial Intelligence, Intelligent Automation, Data Science, Digital Transformation, and Cloud, with a specialized focus on National Security, Federal Financials and Federal Civilian agencies. We are dedicated to delivering innovative solutions that support the critical missions of our government clients. This opportunity is 100% remote. We are looking for a Senior Full-Stack Developer to join our fast-paced enterprise engineering team. In this senior-level role, you will champion legacy modernization initiatives, systematically breaking down monolithic architectures, legacy databases, and older web frameworks into high-transaction web interfaces and scalable, modern backend solutions across dynamic hybrid infrastructure setups (On-Premises OpenShift & AWS Cloud). The ideal candidate thrives in aggressive, high-velocity delivery environments, possesses a proven track record of migrating legacy enterprise systems, values proactive team leadership, and actively leverages modern AI-assisted engineering tools to accelerate software development lifecycles without sacrificing code quality. Candidates must be a U.S. Citizen with an active Department of Treasury MBI." That's a lot; we can keep as paragraph(s). Might split into two paragraphs: company overview and role description. Responsibilities: list bullet points from "Core Responsibilities" section. Let's extract each bullet: - Legacy Modernization: Analyze, decouple, and migrate legacy enterprise systems (monoliths, older Java frameworks, complex store procedures) into a clean, decoupled microservices or modular architecture - Front-End Architecture: Design and optimize highly responsive web UIs using React, transforming legacy server-rendered views or desktop applications into sleek interfaces while managing complex client-side caching via Redux - Back-End Engineering: Build secure, high-throughput RESTful services using Java and Spring Boot, while implementing automated, high-volume bulk data pipelines via Spring Batch to replace outdated legacy batch processing routines - Data Migration & Management: Model structured corporate data using JPA and Hibernate ORM to bridge legacy data stores with modern Oracle production databases - Test Automation Execution: Author and maintain automated end-to-end testing frameworks, mock environments, and isolation tests using Selenium, JUnit 5, and Mockito to ensure zero regressions during modernization phases - Hybrid Infrastructure & DevOps: Author and maintain automated CI/CD workflows using GitHub Actions to cleanly package, containerize, and deploy modernized services across AWS Cloud and OpenShift Container Platform environments - AI-Driven Delivery: Integrate generative AI tools (GitHub Copilot, ChatGPT, Claude) into daily workflows to drastically accelerate boilerplate generation, legacy code refactoring, and query optimization - Agile Collaboration: Partner closely with architectural leads, product owners, and QA engineers within highly demanding Sprint cycles to ship reliable, well-documented code under tight deadlines We'll put each as
About the role
Anika Systems is an outcome-driven technology consulting firm that helps federal agencies solve complex business challenges and prepare for the future. Our services span Artificial Intelligence, Intelligent Automation, Data Science, Digital Transformation, and Cloud, with a specialized focus on National Security, Federal Financials and Federal Civilian agencies. We are dedicated to delivering innovative solutions that support the critical missions of our government clients. This opportunity is 100% remote. We are looking for a Senior Full-Stack Developer to join our fast-paced enterprise engineering team. In this senior-level role, you will champion legacy modernization initiatives, systematically breaking down monolithic architectures, legacy databases, and older web frameworks into high-transaction web interfaces and scalable, modern backend solutions across dynamic hybrid infrastructure setups (On-Premises OpenShift & AWS Cloud). The ideal candidate thrives in aggressive, high-velocity delivery environments, possesses a proven track record of migrating legacy enterprise systems, values proactive team leadership, and actively leverages modern AI-assisted engineering tools to accelerate software development lifecycles without sacrificing code quality. Candidates must be a U.S. Citizen with an active Department of Treasury MBI.
Responsibilities
- Legacy Modernization: Analyze, decouple, and migrate legacy enterprise systems (monoliths, older Java frameworks, complex store procedures) into a clean, decoupled microservices or modular architecture
- Front-End Architecture: Design and optimize highly responsive web UIs using React, transforming legacy server-rendered views or desktop applications into sleek interfaces while managing complex client-side caching via Redux
- Back-End Engineering: Build secure, high-throughput RESTful services using Java and Spring Boot, while implementing automated, high-volume bulk data pipelines via Spring Batch to replace outdated legacy batch processing routines
- Data Migration & Management: Model structured corporate data using JPA and Hibernate ORM to bridge legacy data stores with modern Oracle production databases
- Test Automation Execution: Author and maintain automated end-to-end testing frameworks, mock environments, and isolation tests using Selenium, JUnit 5, and Mockito to ensure zero regressions during modernization phases
- Hybrid Infrastructure & DevOps: Author and maintain automated CI/CD workflows using GitHub Actions to cleanly package, containerize, and deploy modernized services across AWS Cloud and OpenShift Container Platform environments
- AI-Driven Delivery: Integrate generative AI tools (GitHub Copilot, ChatGPT, Claude) into daily workflows to drastically accelerate boilerplate generation, legacy code refactoring, and query optimization
- Agile Collaboration: Partner closely with architectural leads, product owners, and QA engineers within highly demanding Sprint cycles to ship reliable, well-documented code under tight deadlines
Requirements
- Experience Level & Expertise: 10–12 years of professional experience in enterprise-grade software engineering, with a strong emphasis on system transformations, refactoring legacy codebases, and application modernization strategies
- Presentation & Layout Layer: JavaScript (ES6+), HTML5, CSS3
- Frameworks & State: React.js, Redux (or Redux Toolkit)
- Ecosystem Tools: VS Code, NPM
- Business Logic & Persistence Layer: Java, Spring Boot, Spring Security
- Bulk Processing: Spring Batch (Job, Step, Chunk-based processing configurations)
- Data & Relational: JPA / Hibernate, Oracle DB (SQL optimization, indexing, migrating legacy stored procedures), and H2 Database (for in-memory testing)
- Ecosystem Tools: Eclipse IDE, Maven
- Back-End Unit & Mock Testing: Advanced capability with JUnit 5 and Mockito for structural logic isolation, stubbing behaviors, and legacy code behavioral verification
- Front-End Unit Testing: UI isolation and state tracking using Jest and React Testing Library
- Web UI Automation: Strong hands-on experience building and maintaining automated UI regression suites using tools like Selenium WebDriver (Java or JavaScript bindings)
- Infrastructure & Automation – Cloud & Hosting Platforms: Hybrid environment design spanning AWS (Amazon Web Services) and OpenShift Container Platform (OCP)
- CI/CD Pipeline: GitHub Actions workflow orchestration (integrating automated execution of unit, mocking, and Selenium testing blocks)
- Containerization: Docker / container lifecycle management
- Version Control: Git, GitHub, GitLab
- Rapid Application Development: Practical experience using GitHub Copilot, ChatGPT, or Claude for syntax generation