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TPA technologies

TPA technologies

www.tpatechnologies.com

3 Jobs

90 Employees

About the Company

TPA technologies, formerly know as The Professional Alternative, is a solutions partner serving the Information Technology needs of Corporate America and Government Business partners. We utilize methodologies developed over 10 years to provide "Best Fit" solutions. A proven leader in identifying technical professionals best suited to have an immediate and positive impact on the needs of our clients requirements. Business partners are provided with the ability to obtain desired results and the flexibility required to ensure cost effective solutions.

Listed Jobs

Company background Company brand
Company Name
TPA technologies
Job Title
Cloud Architect
Job Description
**Job Title:** Cloud Architect (AWS) **Role Summary:** Senior professional responsible for designing, implementing, and managing Amazon Web Services (AWS) solutions that meet business objectives. Translates requirements into technical architectures, ensures security, reliability, performance, and cost‑effectiveness, and provides technical leadership and mentorship to architecture teams. **Expectations:** - Define and drive the organization’s AWS architectural vision. - Deliver secure, scalable, and cost‑optimized cloud solutions. - Lead migration projects from on‑premise data centers to AWS. - Mentor and develop architecture team members. - Communicate complex technical concepts to both technical and non‑technical stakeholders. **Key Responsibilities:** - Develop cloud strategies aligned with business goals. - Design and document architectures (diagrams, specs) for compute, storage, databases, networking, serverless, PaaS/SaaS, and autoscaling solutions. - Build, deploy, and manage production systems on AWS. - Optimize cloud spend and resource utilization. - Implement security best practices, data protection, access control, and compliance. - Monitor performance, troubleshoot issues, and ensure high availability and scalability. - Advise cross‑functional teams on AWS services, best practices, and emerging technologies. - Explore innovative AWS‑based automation and process‑improvement opportunities. - Shape overall technical direction and advocate for modern architectural approaches. - Lead, coach, and grow high‑performing architect teams. **Required Skills:** - Deep expertise in AWS core services (EC2, S3, RDS, VPC, Lambda, CloudFormation, etc.). - Proven experience with cloud‑native designs, serverless, autoscaling, and PaaS/SaaS patterns. - Strong background in migrating workloads from on‑premise data centers to AWS. - Architecture and design skills (creating diagrams, technical specifications). - Cost‑optimization and resource‑management capabilities. - Security and compliance knowledge (IAM, encryption, audit, GDPR/PCI‑DSS basics). - Performance monitoring and incident troubleshooting. - Excellent communication and stakeholder management. - Leadership, team‑building, and mentorship abilities. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience). - AWS Certified Solutions Architect – Professional (or AWS Certified Solutions Architect – Associate with proven experience). - Additional certifications (e.g., AWS Certified DevOps Engineer, Security Specialty) preferred.
Boston, United states
Hybrid
10-11-2025
Company background Company brand
Company Name
TPA technologies
Job Title
Software Engineer in Test
Job Description
**Job Title:** Software Engineer in Test (SDET) **Role Summary:** Design and develop automated testing solutions for alternative brokerage record‑keeping systems. Build robust Java‑based frameworks (REST Assured, TestNG, JUnit) to validate API reliability, data accuracy, and end‑to‑end functional coverage. Conduct performance and load testing with JMeter to assess system scalability and latency. Create reusable test components, integration tests, and regression suites that align with Agile delivery. Debug backend services, validate REST APIs, and collaborate with developers, analysts, and product teams to ensure quality within regulated financial environments. Improve automation maturity and increase test coverage on high‑availability record‑keeping platforms. **Expectations:** - 12‑month contract, 1 year remote, followed by 2 weeks onsite per month after the first year. **Key Responsibilities:** - Develop and maintain automated API testing frameworks using Java, REST Assured, TestNG, JUnit. - Design, script, and execute API tests to verify data integrity and functional requirements. - Perform performance and load testing with JMeter to evaluate scalability and latency. - Build reusable test components, integration tests, and regression suites for Agile sprints. - Debug and troubleshoot backend services and REST APIs. - Collaborate with developers, analysts, product owners to define acceptance criteria and enhance quality. - Continuously improve automation coverage and platform reliability. **Required Skills:** - Proficient in Java, REST Assured, TestNG, JUnit. - Experience with JMeter for performance/load testing. - Strong API test design and data validation expertise. - Familiarity with Agile/Scrum methodologies. - Ability to debug backend services and validate REST APIs. - Excellent communication and teamwork skills. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent experience). - ISTQB or similar testing certification a plus.
Boston, United states
Remote
25-11-2025
Company background Company brand
Company Name
TPA technologies
Job Title
Data Science Engineer
Job Description
**Job Title:** Data Science Engineer **Role Summary:** Design, build, and optimize end‑to‑end data pipelines and machine learning workflows on AWS and Snowflake. Deliver scalable data lake architectures, deploy models with SageMaker, and collaborate with data scientists and business stakeholders to extract actionable insights. **Expectations:** - 12+ month contract, hybrid schedule (4 days/week). - Must attend final onsite interview. **Key Responsibilities:** 1. Develop and maintain ETL pipelines using AWS Glue for ingestion, transformation, and integration. 2. Preprocess data and engineer features with Python and Apache Spark. 3. Design and implement Snowflake Data Lake and warehouse architectures with scalable S3 storage. 4. Train, evaluate, deploy, and monitor ML models using SageMaker. 5. Conduct exploratory data analysis and build visualizations to communicate findings. 6. Work cross‑functionally with data scientists, analysts, and stakeholders to define requirements and deliver predictive models. 7. Implement robust data governance, quality assurance, and security measures across the data lifecycle. 8. Stay current with ML algorithms, data engineering best practices, and emerging AWS services. **Required Skills:** - Programming: Python, Spark (PySpark). - Cloud & Data Platforms: AWS (Glue, S3, SageMaker), Snowflake (Data Lake, Warehouse). - Data Engineering: ETL, data lake architecture, feature engineering, scalability. - Machine Learning: model training, evaluation, deployment, monitoring. - Data Quality & Governance: metadata management, compliance, data security. - Analytical Tools: SQL, EDA, visualization (Tableau, Power BI, or similar). - Soft Skills: problem solving, communication, collaboration across teams. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Data Science, Statistics, or related field (or equivalent experience). - Proven experience in AWS data services and Snowflake. - Practical expertise in Spark and Python for large‑scale data processing. - ML model development and deployment experience with SageMaker or equivalent platform.
Boston, United states
Hybrid
09-12-2025