Colab Python Jobs in Usa

Notes:

• STRONG PYTHON proficiency is a MUST, with a robust knowledge base in backend development and database testing.
• Proficient in SQL, including crafting and optimizing queries for database testing. Familiarity with big data technologies (e.g., Spark, Hadoop) and ETL/data accuracy validation.
• Proven expertise in automated testing across APIs, UIs, integrations, and data validation, as well as end-to-end acceptance testing.

Description/Comment:

Job Overview:

The Technology team in Santa Monica is seeking a Sr. Software Development in Test Engineer to join our Engineering Services team. This role involves building test automation and processes to ensure the quality of our advertising systems. Properly functioning systems reliably deliver relevant ads to our viewers, driving higher revenue and helping customers discover relevant brands and products. Defects in our ad systems can negatively impact revenue and viewer experience due to irrelevance and repetition. This is a unique opportunity to impact the QE and automation process and culture, as well as the products we release.

Basic Qualifications

Key Responsibilities:

• Work closely with Software Engineers to understand the complex advertising ecosystem at Technology.
• Develop automated test frameworks and suites for UI, API, and Integration levels using Python or other OO languages.
• Participate in design discussions to evolve the platform, enabling richer testing scenarios and simplifying defect detection and prevention.
• Assist with triage, diagnosis, and resolution of issues discovered across teams.
• Contribute to end-to-end acceptance tests.
• Develop and execute manual test cases when automated testing is not feasible.
• Drive the conversion of manual tests to automated tests whenever possible.

Basic Qualifications:

• Minimum of 4 years of hands-on software test development experience, including both functional and non-functional test development.
• Passion for driving best practices in the testing space.
• Proficiency with Python or other OO languages.
• Knowledge of software engineering practices and agile approaches.
• Strong desire to establish and improve product quality.
• Experience building or improving test automation frameworks.
• Proficiency in CI/CD integration and pipeline development using Jenkins, Spinnaker, or similar tools.
• Experience with Gherkin (BDD/TDD).
• Willingness to take on challenges while being part of a team.

Preferred Qualifications:

• Strong SQL knowledge and experience with database testing.
• Experience with server-side and database projects.
• Selenium experience is preferred; strong Python skills are a must.

Required Education:

• B.S. in Computer Science or equivalent degree/work experience.

About US Tech Solutions:

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Recruiter Details:

Name: Emmadi Srikanth

Email:

Job Title: Backend Engineer (Node.js / Python)

Location: Onsite – Glendale

Salary: $190,000 Base + Bonus

Overview

We are seeking a Backend Engineer with strong Node.js and Python experience to join a fast-growing engineering team building scalable, high-performance systems. This role is ideal for an engineer who enjoys designing robust backend services, working with modern cloud architectures, and collaborating closely with product and data teams.

The ideal candidate has experience building production-grade APIs and distributed systems and is curious about emerging AI technologies. Experience with AI or machine learning is a plus, but we are equally excited about engineers who are interested in learning and working with Large Language Models (LLMs).

Responsibilities

• Design, build, and maintain scalable backend services and APIs using Node.js and Python
• Architect and develop high-performance, reliable distributed systems
• Build and maintain RESTful and event-driven services used by internal and customer-facing applications
• Collaborate with frontend engineers, product managers, and data teams to deliver new features
• Optimize system performance, reliability, and scalability
• Write clean, well-tested, and maintainable code
• Participate in architecture discussions, code reviews, and technical planning
• Contribute to integrating AI/LLM-driven capabilities into backend systems where appropriate

Required Qualifications

• 5+ years of professional backend software engineering experience
• Strong development experience with Node.js and/or Python
• Experience designing and building REST APIs and microservices
• Strong understanding of database design, data modeling, and performance optimization
• Experience with cloud environments (AWS, GCP, or Azure)
• Familiarity with containerization technologies such as Docker
• Strong problem-solving skills and ability to work in a collaborative team environment

Job Summary

We are seeking a skilled Data Engineer with 5+ years of hands-on experience designing, building, and maintaining scalable data pipelines and data platforms. The ideal candidate has strong experience working with DAG-based orchestration, cloud technologies (preferably Google Cloud Platform), SQL-driven data processing, Apache Spark, and Python-based API development using Fast API. You will play a key role in enabling reliable data ingestion, transformation, and quality assurance across enterprise systems.

Key Responsibilities

• Design, develop, and maintain DAG-based data pipelines (Airflow or similar orchestration tools).
• Build and optimize SQL-based data transformations for analytics and reporting.
• Develop and manage batch and streaming data pipelines using Apache Spark.
• Implement Python-based REST APIs using FastAPI for data services and integrations.
• Perform data quality checks, validation, reconciliation, and anomaly detection.
• Work with cloud platforms (preferably Google Cloud Platform) for storage, compute, and orchestration.
• Architect and implement cloud-native data platforms on GCP, leveraging services such as BigQuery, BigTable, Dataflow, Dataproc, Pub/Sub, and Cloud Storage.
• Monitor pipeline performance, troubleshoot failures, and optimize processing efficiency.
• Collaborate with analytics, application, and business teams to understand data requirements.
• Ensure best practices around security, scalability, and maintainability.
• Ensure data quality, reliability, security, governance, and compliance with enterprise standards

Required Skills & Experience

• 5 + years of experience as a Data Engineer
• Strong experience with DAG orchestration (e.g., Apache Airflow).
• Solid understanding of cloud technologies, preferably Google Cloud Platform (GCP).
• Advanced proficiency in SQL for data processing and transformations.
• Hands-on experience running and tuning Apache Spark jobs.
• Experience developing APIs using Python and FastAPI.
• Strong understanding of data quality frameworks, checks, and validation techniques.
• Proficiency in Python, Java, Scala, or PySpark, with strong SQL expertise.
• Hands-on experience with GCP data services, including BigQuery, BigTable, Dataproc, Dataflow, and cloud-native ETL patterns.
• Experience with software delivery methodologies such as Agile, Scrum, and CI/CD practices.
• Strong analytical and problem-solving skills.
• Ability to work independently and in cross-functional teams.
• Good communication and documentation skills.

Job Description: We are seeking a Sr Python Developers with strong Python skills, analytical thinking, and financial/risk experience to help with system design and implement the core modeling, scenario generation, and analytics components of this enterprise platform.

This role blends quantitative development and software engineering to build scalable tools used by Treasury, Market Risk, and senior decision-makers.

Key Responsibilities

Quantitative Modeling & Scenario Analytics

• Develop and implement using Python for balance sheet projections, interest rate risk (IRR), liquidity analytics, and scenario-driven stress testing.

• Support both regulatory scenarios (e.g., CCAR, SCB, liquidity stress) and ad hoc “what-if” analyses for Treasury and risk stakeholders.

• Build tools for scenario transformations, sensitivity calculations, curve construction, and quantitative stress analytics.

Platform & Data Engineering

• Design and maintain high performance Python modules that serve as the computational core of the scenario analysis framework.

• Proficient with Pandas, Numpy and other Quant libraries.

• Work with large datasets using SQL to integrate financial, balance sheet, and market inputs.

• Collaborate on the development of REST APIs that interface with scenario engines, model layers, and user applications.

Front-End & Workflow Integration

• Partner with UI developers to support React-based dashboards that present scenario results, visualizations, and analytics to business users.

Currently seeking multiple Full Stack Developers in support of the of U.S. Citizenship and Immigration Services (USCIS) Engineering Support for Identity Services (ESIS), this individual will support Agile Application Development technologies and capabilities in the areas of software development, systems engineering, integration, and test of software applications and infrastructure. Will be skilled with front-end, back-end, and database development. Design and implement full stack cloud solutions to include IaaS, PaaS, and SaaS. Design and deploy computing infrastructure, physical or virtual machines and other resources like virtual-machine disk image library, block and file-based storage, firewalls, load balancers, IP addresses, virtual local area networks. Implement cloud-based platform services for AWS. Implement cloud-based software as service for AWS. Perform DevOps functions.

Key Skills:

• 10+ years of experience with full stack engineering with proficiency in database development/integration as well as server and client application development/integration
• Software developing experience using Python and Java Spring framework
• Experience with other software technologies such as Web Services (SOAP/REST), React/Angular, VS Code, SQL, Gradle, and/or Git
• AWS experience required with experience deploying enterprise applications in AWS
• Experience with CI/CD environment tools such as Docker, Jenkins, Ansible, Kubernetes

• Software development with Python, Java, React, and various scripting languages
• Design data models and web APIs and creation of software tasks from system requirements
• Perform requirements analysis, design, development, unit, and integration testing of software, troubleshooting and debugging of the system
• Immediate responsibilities will include enhancing and maintaining the existing system as well as design, development, and documentation of new features
• Create Git Releases, pull request and code reviews
• Query logs utilizing Splunk and will monitor dashboarding utilizing New Relic
• Usage of Atlassian Tools for day to day tasks within the Scrum process
• Implement web services, data persistence access features and external interfaces
• Partner closely with front-end and database engineers to ensure features are developed holistically
• Follow Agile software development methodology and team architecture standards.
• Will need to be able to read Architecture Diagrams
• Perform test service to improve code coverage, mocking services, test driven development and unit testing
• Will modify Helm Charts, Jenkinsfiles, and Dockerfiles

• MUST BE US CITIZEN
• Bachelor's degree required
• Must be able to obtain and maintain a Public Trust security clearance
• 10+ years expereince in Software Engineering
• Must have experience in Python and Java Spring Framework (Boot, Batch, Data, Security)
• Must have experience with other software technologies such as Web Services (SOAP/REST), React/Angular, VS Code, SQL, Gradle, and/or Git
• Experience with design, development, enhancement, troubleshooting and debugging of web applications
• Must have experience in AWS cloud environment and with CI/CD tools (ie. Docker, Jenkins, Kubernetes) for deployment processes, monitoring production environments, and modifying docker/Jenkins files and helm charts
• Experience with scripting languages (Python, Bash, Powershell, Perl) is not required but nice to have
• Understanding of the concept of branching and utilizing technological tools such as Git, VS Code, and/or Rancher to perform
• Experience with creating Git releases, creating pull requests, and reviewing code
• Experience monitoring dashboards utilizing New Relic
• Experience with Splunk to query logs
• Experience with Junit testing preferred
• Experience creating release instructions utilizing JIRA
• Experience developing and integrating complex software systems through the full SDLC
• Experience with Agile Scrum
• Must have strong written and verbal communication skills

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• Provide deep technical leadership to a portfolio of high impact data science initiatives involving sales and advisor experience. Identify the optimal sets of data, models, training, and testing techniques required for successful product delivery. Remove complex technical impediments
  
• Leverage your experience and skills to identify new opportunities where data science and AI can improve experiences, gain efficiencies, and generate sales.
  
• Manage team members in AI/ML and model development, testing, training, and tuning. Apply hands-on experience to ensuring best-in-class model development. Mentor team members in technical skill development and product ownership.
  
• Communicate clearly and concisely, in writing and verbally, all facets of model design and development. Continuously look for insights in models developed and generate new ideas for model improvement.
  
• Manage external vendors in the execution of parts of the data science development process as needed.
  
• Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code on Prudential's AI/ML platform.
  
• Bring a deep understanding of relevant and emerging technologies, give technical direction to team members and embed learning and innovation in the day-to-day.
  
• Work on significant and unique issues where analysis of situations or data requires an evaluation of intangible variables and may impact future concepts, products or technologies.
  
• Familiarity with Python, SQL, AWS, and JIRA.
  
• Familiarity with LLMs, deployment of LLMs, RAG, LangChain, LangGraph, and Agentic AI concepts.
  

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• Applied Statistics, Computer Science, or Engineering or experience in related fields with a focus on machine learning, AI, and LLMs.
  
• Junior category industry experience with responsibility for developing and delivering advanced quantitative, AI/ML, analytical and statistical solutions.
  
• Ability to lead a small team with minimal guidance and effectively leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization to deliver AI products.
  
• Ability to influence business stakeholders and to drive adoption of AI/ML solutions.
  
• Experience with agile development methodologies, Test-Driven Development (TDD), and product management.
  
• Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business
  
• Demonstrated ability to mentor and operational management of data science team based on project requirements, resourcing requirements, and planning dependencies as appropriate, anticipate risks and bottlenecks and proactively takes actions
  
• Excellent problem solving, communication and collaboration skills, and stakeholder management
  
• Significant experience and/or deep expertise with several of the following:
  
• Machine Learning and AI: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models. Expertise in traditional machine learning models (unsupervised, XGBoost, etc.) and Large Language Models (OpenAI, Claude).
  
• Model Deployment: Understanding of model development life cycle, CI/CD/CT pipelines (using tools like Jenkins, CloudBees, Harness, etc.), A/B testing, and pipeline frameworks such as AWS SageMaker, and newer AWS/Azure Agentic AI infrastructure products.
  
• Data Acquisition and Transformation: Acquiring data from disparate data sources using APIs and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python.
  
• Database Management Systems: Knowledge of how databases are structured and function in order use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc.
  
• Data Analysis and Insights: Analyzing structured and unstructured data using data visualization, manipulation, and statistical methods to identify patterns, anomalies, relationships, and trends.
  
• Programming Languages: Python and SQL
  

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• Photo & Video Capture and Imaging Data Management
  
• Capture high-quality photos and videos using camera devices (primarily smartphone cameras) in both lab environments and real-world scenarios.
  
• Execute image and video analysis tools to evaluate camera performance and generate quantitative and qualitative results.
  
• Manage and maintain imaging databases across multiple Image Quality (IQ) domains, including: Texture and Noise, Color Accuracy, HDR, Exposure, Zoom, Bokeh, Video Quality, Image, Stabilization
  
• Configure and operate Android devices using Android Debug Bridge (ADB) for camera testing and data capture.
  
• Organize captured data through structured folder systems and naming conventions to support multi-device testing workflows.
  

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• Maintain and operate Camera Image Quality evaluation labs located at San Diego campus.
  
• Ensure the lab environment is properly configured for camera testing and data collection.
  
• Support camera engineering teams by maintaining testing equipment, scenes, and workflows.
  

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• Develop and enhance Python-based tools for image quality analysis and evaluation.
  
• Assist in developing evaluation protocols for camera IQ metrics, including texture, color, HDR, exposure, zoom, and video stabilization.
  
• Support development of test scenarios for both lab setups and real-world capture conditions.
  
• Work with tools such as FFmpeg for video analysis and processing.
  
• Assist in building and organizing image/video datasets for machine learning training, including data annotation and labeling.
  

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• Bachelor's degree in Engineering (Electrical Engineering, Computer Engineering, Computer Science, or related field).
  
• Strong interest in camera imaging, photography, or image quality evaluation.
  
• Basic knowledge of Python programming.
  
• Ability to manage large datasets and organize technical data efficiently.
  

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• Experience with image or video processing tools.
  
• Familiarity with Android Debug Bridge (ADB).
  
• Knowledge of MATLAB, Python scripting, or FFmpeg.
  
• Exposure to computer vision, image quality analysis, or camera testing.
  
• Understanding of image datasets used in machine learning workflows.