Cliff Services Inc
Reston, Virginia
Senior Full Stack Java Developer - W2 Full Stack Java Senior Software Developer performs high complexity (i.e. system level applications) analysis, design, development and unit testing of software applications from user requirements and design documents. The candidate also resolves defects encountered during various testing cycles. Key Skills: 1) Comprehensive expertise across all phases of the Software Development Lifecycle (SDLC), including requirements analysis, design, development, testing, deployment, and maintenance. 2) Strong backend development experience using one or more of the following languages: Java, TypeScript, Python 3) Previous experience building reactive, component-based frontend applications using the Angular framework. 4) Proficiency in data modeling, schema design, SQL, and query optimization across relational and non-relational databases, including PostgreSQL and DynamoDB. 5) Hands-on experience with Git-based workflows and familiarity with CI/CD tooling, including Docker, Jenkins, Terraform, and AWS CloudFormation. 6) Extensive experience architecting and implementing cloud-native solutions on AWS, leveraging best practices for scalability, availability, and security. 7) Experience with using Microsoft Copilot, ChatGPT or alternate Gen AI tools for code generation, code reviews, applying coding standards, generating unit test cases, document generation, etc. during various phases of development life cycle. 8) Usage of AWS Bedrock models in implementing Gen AI agents for use cases is a plus. 9) Domain knowledge in Mortgage Banking, Bond Markets and/or other financial sectors in trading desk activities, front office trading desk support, financial risk analytics, P&L 10) Basic understanding of key mortgage trading financial instruments like Mortgage Backed Securities (MBS), Mortgage Loans, Debt instruments, Derivatives e.g. Swaps, Swaptions, Futures Experience: 1) Bachelor degree in Computer Science, Information Systems or related field 2) Professional certification(s) desired 10+ years software development experience across the appropriate platform Technical Skills: Backend Development NodeJS, Python, Java, SpringBoot, Familiar with Tools: Intellij, VSCode, DBeaver, Postman, Putty Frontend Development Angular - NgRx, RxJS, TypeScript, JavaScript Databases SQL, DynamoDB, Postgres, Oracle Write and optimize SQL AWS services Lambda, S3, Step Functions, Glue, EC2, ECS, CloudFormation, RDS, CloudWatch, Redshift, AWS CLI Development Testing Unit test & Automation : Jest, Junit, Mockito, Cypress, Cucumber DevOps Docker, Git, Jenkins, GitLab Experience with using Microsoft Copilot, ChatGPT or alternate Gen AI tools for code generation, code reviews, applying coding standards, generating unit test cases, document generation, etc. during various phases of development life cycle. Usage of AWS Bedrock models in implementing Gen AI agents for use cases is a plus. Please contact
Senior Full Stack Java Developer - W2 Full Stack Java Senior Software Developer performs high complexity (i.e. system level applications) analysis, design, development and unit testing of software applications from user requirements and design documents. The candidate also resolves defects encountered during various testing cycles. Key Skills: 1) Comprehensive expertise across all phases of the Software Development Lifecycle (SDLC), including requirements analysis, design, development, testing, deployment, and maintenance. 2) Strong backend development experience using one or more of the following languages: Java, TypeScript, Python 3) Previous experience building reactive, component-based frontend applications using the Angular framework. 4) Proficiency in data modeling, schema design, SQL, and query optimization across relational and non-relational databases, including PostgreSQL and DynamoDB. 5) Hands-on experience with Git-based workflows and familiarity with CI/CD tooling, including Docker, Jenkins, Terraform, and AWS CloudFormation. 6) Extensive experience architecting and implementing cloud-native solutions on AWS, leveraging best practices for scalability, availability, and security. 7) Experience with using Microsoft Copilot, ChatGPT or alternate Gen AI tools for code generation, code reviews, applying coding standards, generating unit test cases, document generation, etc. during various phases of development life cycle. 8) Usage of AWS Bedrock models in implementing Gen AI agents for use cases is a plus. 9) Domain knowledge in Mortgage Banking, Bond Markets and/or other financial sectors in trading desk activities, front office trading desk support, financial risk analytics, P&L 10) Basic understanding of key mortgage trading financial instruments like Mortgage Backed Securities (MBS), Mortgage Loans, Debt instruments, Derivatives e.g. Swaps, Swaptions, Futures Experience: 1) Bachelor degree in Computer Science, Information Systems or related field 2) Professional certification(s) desired 10+ years software development experience across the appropriate platform Technical Skills: Backend Development NodeJS, Python, Java, SpringBoot, Familiar with Tools: Intellij, VSCode, DBeaver, Postman, Putty Frontend Development Angular - NgRx, RxJS, TypeScript, JavaScript Databases SQL, DynamoDB, Postgres, Oracle Write and optimize SQL AWS services Lambda, S3, Step Functions, Glue, EC2, ECS, CloudFormation, RDS, CloudWatch, Redshift, AWS CLI Development Testing Unit test & Automation : Jest, Junit, Mockito, Cypress, Cucumber DevOps Docker, Git, Jenkins, GitLab Experience with using Microsoft Copilot, ChatGPT or alternate Gen AI tools for code generation, code reviews, applying coding standards, generating unit test cases, document generation, etc. during various phases of development life cycle. Usage of AWS Bedrock models in implementing Gen AI agents for use cases is a plus. Please contact
Cliff Services Inc
Reston, Virginia
AWS Python Developer Reston only Hybrid, 3 days onsite, 2 days offsite Position Summary The Python Developer will design, develop, test, and implement cloud native applications, data pipelines, and backend services within AWS. The role requires strong Python engineering skills, AWS service expertise, foundational data engineering capabilities, and a disciplined approach to software quality and automation. The ideal candidate will be able to work collaboratively across teams, follow established engineering practices, and deliver secure, scalable, and maintainable solutions. Required Technical Qualifications Python Development Strong proficiency in Python for backend service development Experience with relevant Python libraries such as Pandas, Boto3, and data processing packages Proficiency with automated testing using PyTest, including fixtures, mocking, and parameterization Understanding of clean code principles, error handling, type hints, and maintainable design API Engineering Hands-on experience building RESTful APIs using Flask, Django, or FastAPI Knowledge of authentication and authorization mechanisms (JWT, OAuth2) Experience implementing API versioning, request validation, and structured error handling Understanding of performance considerations such as throughput, latency, and caching AWS Cloud Services Practical experience with key AWS services including: Lambda, S3, Step Functions, Glue, EC2, ECS/Fargate, RDS, Redshift, CloudWatch Ability to design event driven, serverless, and containerized architectures Familiarity with distributed systems patterns such as retries, dead letter queues, and idempotent operations Experience monitoring applications via CloudWatch metrics, logs, and alarms Infrastructure, DevOps, & Tooling Hands-on experience with GitLab for version control and CI/CD pipeline development Experience using Terraform (or similar) for infrastructure as code Proficiency with Docker for containerized application development Ability to use shell scripting and AWS CLI for operational automation Familiarity with Agile development workflows (Jira, Confluence) AI Assisted Development Tools (Required Competency) To support modern engineering productivity and code quality standards, candidates must: Demonstrate familiarity with GitHub Copilot or comparable AI assisted development tools Use AI tools responsibly to: Accelerate development while maintaining code correctness Generate and refine unit tests and integration test scaffolding Improve readability, documentation, and boilerplate reduction Assist with refactoring, code reviews, and exploratory coding Understand organizational expectations around responsible AI usage, including validation, security, and compliance This is a mandatory requirement, not a bonus skill. Data Engineering Skills (Required) Candidates are expected to have practical exposure to foundational data engineering concepts, including: Experience building or maintaining data pipelines using AWS Glue, PySpark, or Lambda based ETL flows Working knowledge of SQL and relational databases (e.g., Postgres, Aurora, or MySQL) Ability to optimize SQL queries (joins, aggregations, window functions) Understanding of data modeling, data validation, and schema evolution Familiarity with Redshift ingestion patterns (e.g., COPY operations) and performance optimization Experience working with data stored in S3, including partitioning, data lifecycle considerations, and file formats (Parquet/JSON) Front-End Exposure (Preferred, Not Required) Basic familiarity with Angular, particularly for integrating backend APIs Ability to read and modify UI components when needed Soft Skills & Engineering Mindset Ability to communicate effectively with technical and non technical stakeholders Strong analytical and problem solving capability Demonstrated ability to navigate, understand, and improve existing codebases Understanding of design patterns and architectural principles Focus on reliability, scalability, automation, and long term maintainability Ability to collaborate in Agile teams and provide high quality documentation. Please Contact
AWS Python Developer Reston only Hybrid, 3 days onsite, 2 days offsite Position Summary The Python Developer will design, develop, test, and implement cloud native applications, data pipelines, and backend services within AWS. The role requires strong Python engineering skills, AWS service expertise, foundational data engineering capabilities, and a disciplined approach to software quality and automation. The ideal candidate will be able to work collaboratively across teams, follow established engineering practices, and deliver secure, scalable, and maintainable solutions. Required Technical Qualifications Python Development Strong proficiency in Python for backend service development Experience with relevant Python libraries such as Pandas, Boto3, and data processing packages Proficiency with automated testing using PyTest, including fixtures, mocking, and parameterization Understanding of clean code principles, error handling, type hints, and maintainable design API Engineering Hands-on experience building RESTful APIs using Flask, Django, or FastAPI Knowledge of authentication and authorization mechanisms (JWT, OAuth2) Experience implementing API versioning, request validation, and structured error handling Understanding of performance considerations such as throughput, latency, and caching AWS Cloud Services Practical experience with key AWS services including: Lambda, S3, Step Functions, Glue, EC2, ECS/Fargate, RDS, Redshift, CloudWatch Ability to design event driven, serverless, and containerized architectures Familiarity with distributed systems patterns such as retries, dead letter queues, and idempotent operations Experience monitoring applications via CloudWatch metrics, logs, and alarms Infrastructure, DevOps, & Tooling Hands-on experience with GitLab for version control and CI/CD pipeline development Experience using Terraform (or similar) for infrastructure as code Proficiency with Docker for containerized application development Ability to use shell scripting and AWS CLI for operational automation Familiarity with Agile development workflows (Jira, Confluence) AI Assisted Development Tools (Required Competency) To support modern engineering productivity and code quality standards, candidates must: Demonstrate familiarity with GitHub Copilot or comparable AI assisted development tools Use AI tools responsibly to: Accelerate development while maintaining code correctness Generate and refine unit tests and integration test scaffolding Improve readability, documentation, and boilerplate reduction Assist with refactoring, code reviews, and exploratory coding Understand organizational expectations around responsible AI usage, including validation, security, and compliance This is a mandatory requirement, not a bonus skill. Data Engineering Skills (Required) Candidates are expected to have practical exposure to foundational data engineering concepts, including: Experience building or maintaining data pipelines using AWS Glue, PySpark, or Lambda based ETL flows Working knowledge of SQL and relational databases (e.g., Postgres, Aurora, or MySQL) Ability to optimize SQL queries (joins, aggregations, window functions) Understanding of data modeling, data validation, and schema evolution Familiarity with Redshift ingestion patterns (e.g., COPY operations) and performance optimization Experience working with data stored in S3, including partitioning, data lifecycle considerations, and file formats (Parquet/JSON) Front-End Exposure (Preferred, Not Required) Basic familiarity with Angular, particularly for integrating backend APIs Ability to read and modify UI components when needed Soft Skills & Engineering Mindset Ability to communicate effectively with technical and non technical stakeholders Strong analytical and problem solving capability Demonstrated ability to navigate, understand, and improve existing codebases Understanding of design patterns and architectural principles Focus on reliability, scalability, automation, and long term maintainability Ability to collaborate in Agile teams and provide high quality documentation. Please Contact