Colaboratory Python Jobs in Usa
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- Onsite 2 days per week Duration: 1 year with possible extension.
Job Description: • Lead the design and development of scalable and high-performance solutions using AWS services.
• Experience with Databricks, Elastic search, Kibanna, S3.
• Experience with Extract, Transform, and Load (ETL) processes and data pipelines.
• Write clean, maintainable, and efficient code in Python/Scala.
• Experience with AWS Cloud-based Application Development • Experience in Electronic Health Records (EHR) HL7 solutions.
• Implement and manage Elastic Search engine for efficient data retrieval and analysis.
• Experience with data warehousing, data visualization Tools, data integrity • Execute full software development life cycle (SDLC) including experience in gathering requirements and writing functional/technical specifications for complex projects.
• Excellent knowledge in designing both logical and physical database model • Develop database objects including stored procedures, functions, • Extensive knowledge on source control tools such as GIT • Develop software design documents and work with stakeholders for review and approval.
• Exposure to flowcharts, screen layouts and documentation to ensure logical flow of the system requirements • Experience working on large agile projects.
• Experience or Knowledge on creating CI/CD pipelines using Azure Devops Required Skills:
- Developing complex database systems.
Databricks.
Elastic search, Kibanna.
Python/Scala.
Oracle.
Experience with Extract, Transform, and Load (ETL) processes and developing Data Pipelines.
Experience with AWS.
Experience with data warehousing, data visualization Tools, data integrity .
CMM/CMMI Level 3 methods and practices.
Implemented agile development processes including test driven development.
Experience or Knowledge on creating CI/CD pipelines using Azure Devops- Nice to have
Remote working/work at home options are available for this role.
The resource in this role will be integral to developing, maintaining, and enhancing phase 1, making sure automated processes are functioning, streamlining critical business processes, data integrity, compliance, and securing the application.
This resource will also perform as a technical lead, providing technical guidance to the other developers in the department.
As a technical lead, the resource will participate in a variety of analytical assignments that provide for the enhancement, integration, maintenance, and implementation of projects.
The resource will also provide technical oversight to other developers in the team that support other critical applications.
Job Duties: · Lead the design and development of scalable and high-performance solutions using AWS services · Write clean, maintainable, and efficient code in Python/Scala · Implement and manage Elastic Search engine for efficient data retrieval and analysis · Execute full Software Development Lifecycle (SDLC), including gathering requirements and writing functional/technical specifications for complex projects · Develop database objects including stored procedures and functions · Develop software design documents and work with stakeholders for review and approval Job Qualifications: · 12+ years of experience developing complex database systems · 8+ years of experience with Databricks · 8+ years of experience using Elastic Search, Kibanna, and S3 · 8+ years of experience using Python/Scala · 8+ years of experience in Oracle · 5+ years of experience with Extract, Transform, and Load (ETL) processes, and developing data pipelines · 5+ years of experience with AWS Cloud-based Application Development · 5+ years of experience in data warehousing, data visualization tools, and data integrity · 5+ years of experience using CMM/CMMI Level 3 methods and practices · 5+ years of experience implementing Agile development processes, including test driven development · 3+ years of experience creating CI/CD pipelines using Azure DevOps · Experience with Electronic Health Record (EHR) HL7 solutions · Experience with data warehousing, data visualization tools, and data integrity, and designing both logical and physical database models · Extensive knowledge in source control tools, such as GIT · Exposure to flowcharts, screen layouts, and documentation to ensure logical flow of the system requirements · A minimum of a Bachelor’s Degree in a relevant field .
Remote working/work at home options are available for this role.
This role involves setting up test systems, executing electrical tests, troubleshooting hardware issues, and documenting results.
The position is primarily lab-based , with approximately 60–75% hands-on bench testing and 20–30% reporting, debugging, and technical communication .
The ideal candidate is a self-starter who can independently set up test environments, analyze results, and collaborate with engineering teams to resolve issues .
Key Responsibilities Perform electrical lab bench testing and hardware characterization on SSD-related hardware or similar electronic systems.
Set up and configure test environments based on schematics and engineering requirements.
Execute validation tests and document procedures, results, and observations.
Troubleshoot hardware, power systems, and test setups to identify root causes of issues.
Work with Linux command line tools to support testing and debugging.
Develop or modify Python scripts to automate testing or data collection when needed.
Analyze test data and communicate findings to engineering teams.
Maintain detailed documentation and technical reports related to test results and validation activities.
Required Qualifications 3–4 years of experience in electrical lab bench testing or hardware validation.
Experience working with SSD hardware or similar electronic systems preferred.
Strong Linux command line proficiency.
Experience with Python scripting.
Ability to review electrical schematics and define test setups.
Knowledge of switching regulators, LDOs, and power systems.
Strong troubleshooting, analytical, and documentation skills.
Excellent technical communication abilities.
Candidate Profile The ideal candidate will: Hold a Bachelor’s degree in Electrical Engineering, Computer Engineering, or related field with 3–4 years of relevant experience, OR have approximately 6 years of hands-on experience without a degree.
Be comfortable working independently and taking ownership of test systems and troubleshooting tasks.
Be able to set up test systems, document procedures, and diagnose hardware issues with minimal supervision.
Thrive in a lab-based environment requiring hands-on characterization and testing.
Work Environment Fully onsite role in Boise, Idaho Approximately 60–75% hands-on electrical bench testing Approximately 20–30% reporting, debugging, and communication If interested, please email your resume to No third party candidates
You’ve done a ton of Leetcode.
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Open Roles We're Hiring For our clients: Entry-Level Software Programmers (Java/Python) Java Full Stack Developers Data Analysts & BI Engineers Data Scientists & ML Engineers All visa types and U.S.
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That’s what we upskill on Please check the below links: Job Placement Program (JOPP): Java Job Placement Program Data Science / Data Jobs Program Event videos (OCW, JavaOne, Gartner): USA Today feature Contact: The Market’s Changed—Have You? Develop and implement statistical predictive models and machine learning algorithms Develop predictive models and machine learning algorithms using advanced methodologies Develop statistical learning models for data analysis Design and develop data mining and machine learning models and algorithms Using machine learning and statistical techniques Develop statistical models for data analysis Demonstrate an advanced understanding of data mining, predictive analytics, machine learning and data visualization Support analytics and machine learning model development Implement data driven business solutions using advanced statistical methods and machine learning techniques Clean and explore data and implement statistical/machine learning models Create machine learning data models that develop new insights over time Providing advanced predictive data analytics using big data and data science technology for healthcare innovation Generate analytics on big data Solve statistical, machine learning, analytical and data mining problems Leverage statistical data modeling, data mining and machine learning techniques to provide solutions to new business problems Deploy predictive models and/or machine learning algorithms on large static and/or streaming data sets Optimizing classifiers using machine learning techniques Building the coolest machine data analytics systems Using various types of algorithms and machine learning modeling techniques Define and develop machine learning and data mining strategies
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location: Boston, Massachusetts
job type: Contract
salary: $80 - 90 per hour
work hours: 9am to 5pm
education: Bachelors
responsibilities:
RESPONSIBILITIES
Assess current state AI usage across investment teams and identify repeatable best practice workflows for research, modeling, synthesis, ongoing model maintenance, and data collection.
Design and deliver live and asynchronous training sessions on applied AI usage for investors, including prompting techniques, iterative refinement, validation methods, and responsible automation.
Develop reusable playbooks, templates, and example workflows for high impact use cases such as company primers, TAM construction, earnings call distillation, qualitative pricing research, AI assisted updating of analyst financial models, and structured data gathering via web-based sources.
Train investors on effective use of AI for non-obvious and hard to find information, including synthesizing insights from forums, filings, customer commentary, and improving the cleaning, structuring, and aggregation of data from third party vendors and unstructured public sources.
Provide guidance on AI assisted data science, modeling, and web scraping workflows, including the use of AI to help generate, explain, and maintain Python scripts for data collection, cleaning, normalization, and organization, while maintaining appropriate human oversight.
Educate teams on known limitations of LLMs, including numerical accuracy issues, logic errors, scraping reliability, and establish clear validation standards.
Partner with internal stakeholders as needed to align AI enablement with governance, data handling, and responsible usage expectations.
MINIMUM REQUIREMENTS
Post graduate degree with meaningful depth in both finance and computer science or closely related fields.
Demonstrated experience applying Generative AI or LLM tools in professional analytical or investment research workflows.
Strong understanding of the investment research process, including company analysis, financial modeling, market sizing, earnings analysis, and ongoing model maintenance.
Programming proficiency sufficient to support and teach AI assisted workflows, with Python strongly preferred, including familiarity with basic web data collection concepts.
Ability to translate technical concepts into clear, practical guidance for analysts and portfolio managers.
Excellent written and verbal communication skills, with comfort delivering training sessions and hands-on workshops.
Strong judgment and analytical rigor, including an understanding of when AI outputs require manual verification, additional sourcing, or human intervention.
qualifications:
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Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Embark on a transformative journey as our Sr. Domain Expert Lead, where intellectual rigor meets technological innovation. As a Sr. Domain Expert Lead, you will blend your advanced analytical skills and domain expertise to provide strategic oversight to our human-in-the-loop and model-in-the-loop data pipelines. You will also provide mentorship and guidance to junior team members. Your responsibilities will ensure data excellence through strategic oversight of high-quality data output, while delivering expert consultation throughout the pipeline and fostering iterative development. This position directly impacts the effectiveness and reliability of our AI solutions by maintaining the highest standards of data quality throughout the development process while building capability within the broader team.
Key job responsibilities
• Serve as a trusted domain advisor to cross-functional teams, providing strategic direction and specialized problem-solving support
• Champion domain knowledge sharing across multiple channels and teams to maintain data quality excellence and standardization
• Drive collaborative efforts with science teams to optimize output of complex data collections in your domain expertise, ensuring data excellence through iterative feedback loops
• Foster team excellence through mentorship and motivation of peers and junior team members
• Make informed decisions on behalf of our customers, ensuring that selected code meets industry standards, best practices, and specific client needs
• Collaborate with AI teams to innovate model-in-the-loop and human-in-the-loop approaches, to ensure the collection of high-quality data, safeguarding data privacy and security for LLM training, and more.
• Stay abreast of the latest developments in how LLMs and GenAI can be applied to your area of expertise to ensure our evaluations remain cutting-edge.
• Develop and write demonstrations to illustrate "what good data looks like" in terms of meeting benchmarks for quality and efficiency
• Provide detailed feedback and explanations for your evaluations, helping to refine and improve the LLM's understanding and output
- 2+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- 1+ years of guiding and coaching a group of researchers experience
- 1+ years of working with or evaluating AI systems experience
- 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
- Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
- Experience applying theoretical models in an applied environment- Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
- Knowledge of machine learning concepts and their application to reasoning and problem-solving
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
- Experience in defining and creating benchmarks for assessing GenAI model performance
- Experience working on multi-team, cross-disciplinary projects
- Experience applying quantitative analysis to solve business problems and making data-driven business decisions
- Experience effectively communicating complex concepts through written and verbal communication
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at , MA, Boston - 136, ,000.00 USD annually
USA, WA, BELLEVUE - 136, ,000.00 USD annually
Key responsibilities include: • Work on RTL design of System IP blocks • Work independently while closely collaborating with other designers as well as members of verification, physical design, performance and power teams • Work on developing and maintaining Front-End Tools, Flows and Methodologies • Work on creating scripts that automate repetitive daily tasks of team members • Support Silicon bring-up activities
Requirements
Minimum requirements: • Proficient in RTL design using Verilog and System Verilog • Experienced in setting up and maintaining front-end tools for Synthesis, LEC, Lint and Low Power Analysis • Excellent debug and problem-solving skills.
Experienced in Silicon bring-up activities • Experienced in timing and coverage closure • Proficient with UNIX/Linux and programming languages such as PERL, Python, TCL, and Unix Shell Scripting • Prior experience of having worked with interconnects, caches and/or cache coherency would be an added advantage Preferred candidate will possess the following: • Verilog/System Verilog • GIT • Perl • Python • Tcl/Tk • C/C++ • Jenkins, Jira
Staff Data Scientist
Direct Hire
Onsite @ 805 Se Moberly Ln, Bentonville, AR 72712
Position Summary.
Chance to work on financial data for complex problems/challenges. Utilize LLMs/Genai systems and architectures to build and deploy state-of-the-art Genai systems.
Our team collaborates closely with Finance teams to enhance financial planning and strategic decision-making through cutting-edge data-driven solutions. We specialize in a range of initiatives which provides actionable insights into trends and patterns and leveraging Generative AI (Genai) to produce concise, insightful summaries that empower decision-makers. By integrating these innovative approaches, we strive to drive efficiency, accuracy, and impactful outcomes in financial operations.
About Team:
Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, U.S. offers an extensive selection that our customers value, whether they shop online at ecommerce website, through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization.
What you’ll do:
- Lead the design, development, testing, and global deployment of large-scale time series forecasting models (including Regression models and state of the art time series specific models for example N-BEAST, PatchTST) to support complex retail and e-commerce hierarchies. Introduce causal modeling approaches to conduct impact analysis for future forecast.
- Continuously enhance forecasting strategies by incorporating advanced machine learning architectures, including RNNs (sequence modeling), CNNs (temporal feature extraction), and Attention-based mechanisms to improve accuracy, scalability, and robustness in time series forecasting.
- Advance causal modeling frameworks to quantify event impacts and integrate causal insights into forward-looking forecasts.
- Build and maintain experimentation pipelines (A/B testing, quasi-experiments, multi-armed bandits) for evaluating causal impacts of interventions.
- Mentor junior scientists, review research and production code, and ensure reproducibility and scalability in pipelines.
- Collaborate with engineering to implement forecasting + optimization systems in production (Airflow, Astronomer, Spark/Ray).
- Act as technical lead on multiple projects, balancing research rigor with business delivery.
What you’ll bring:
- Strong foundation in Time Series Forecasting, Causal Inference, Statistical Analysis, and advanced Machine Learning methods
- Hands-on experience with a wide range of ML techniques, with a deep understanding of their advantages and limitations across different scenarios.
- Ability to integrate statistical expertise with machine learning methods to maximize the value and interpretability of ML solutions.
- Proficiency in Python, SQL, PyTorch, Spark/Ray, and stats/econometrics libraries.
- Experience deploying ML systems at scale on cloud platforms (GCP/Azure).
Great to have:
- Publications and open-source contributions spanning the full spectrum of modern Machine Learning, from Statistical Learning (e.g., Bayesian modeling, causal inference, high-dimensional statistical methods) to Deep Learning (e.g., convolutional and transformer-based architectures) and Reinforcement Learning (e.g., dynamic programming, policy gradient methods).
- Exposure to ML observability: drift detection, retraining triggers, and causality-informed monitoring.
- Background in retail, e-commerce, or operations analytics.
Benefits:
Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
Minimum Qualifications.
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field
Preferred Qualifications.
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following accessibility standards and guidelines for supporting an inclusive culture.
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, color, religion, sex, sexual orientation, gender identity,
national origin, disability, or status as a protected veteran.
Recruiter Details:
Name: Adil Saifi
Email:
Internal Id: 25-53396
A family-owned business since 1924, A. Duie Pyle provides a range of integrated transportation and distribution solutions throughout the Northeast and Mid-Atlantic. Supported by our vast network of Less-Than-Truckload (LTL) service centers, warehouse facilities, and dedicated locations, we have the ability to offer flexible and seamless integrated solutions tailored to our customer’s needs.
Simply put, when it comes to integrated supply chain solutions, Pyle People Deliver. Our promise is to provide outstanding service as it remains to be our first and foremost mission.
Position Summary:
We are seeking a Senior Data Architect to lead the design, modernization, and operational excellence of our enterprise data platform. This role blends hands on data architecture with cloud and on prem platform engineering, reliability, and DevOps practices.
The ideal candidate brings deep experience designing scalable data solutions, modernizing database environments, implementing automation and CI/CD pipelines, and driving platform reliability across mission critical systems. This role requires both strategic architectural thinking and hands on implementation across cloud services, relational databases, automation tooling, and enterprise system integrations.
The responsibilities of the position include, but are not limited to:
Data Platform Architecture & Modernization
- Architect scalable, secure, and high availability data platforms across cloud/hybrid environments
- Designing and overseeing database modernization initiatives (e.g., On-prem SQL server to managed services such as RDS or equivalent)
- Defining data storage strategies across relational and operational systems
- Establishing standards for availability, resilience, performance optimization, and cost efficiency
- Producing architectural diagrams and documentation to guide implementation and long-term platform strategy
Data Ingestion & Integration
- Designing and implementing scalable ingestion pipelines across enterprise systems
- Developing ingestion and transformation logic using SQL and Python
- Supporting integration patterns across APIs, batch systems, and event-driven architectures
- Designing monitoring and alerting mechanisms to ensure ingestion reliability and observability
- Enabling data availability for analytics and operational reporting without compromising system performance
Cloud & Infrastructure Engineering
- Architecting and managing cloud-based data services
- Designing monitoring frameworks using tools such as CloudWatch, New Relic, or equivalent
- Optimizing cloud infrastructure costs while maintaining performance and reliability
- Supporting secure access patterns, identity management, and operational governance
DevOps & Platform Reliability
- Implementing CI/CD pipelines for data and database deployments (Azure DevOps or similar)
- Establishing version control and automated deployment standards for data environments
- Improving SDLC processes for database and data platform releases
- Ensuring high system availability (99.9%+ targets) and proactive incident management
- Supporting incident response processes and RCA for data related systems and/or outages
Database Architecture & Performance Optimization
- Designing relational database schemas for scalability and performance
- Clearly define and implement indexing, partitioning, and query optimization standards
- Implementing backup, disaster recovery, business continuity and high availability strategies
- Guiding database tuning and performance monitoring practices
Governance & Technical Leadership
- Establishing data architecture standards and naming conventions
- Driving platform documentation and operational best practices
- Partnering with application, infrastructure, and analytics teams
- Serving as technical authority across data centric initiatives
- Mentoring engineers through design reviews and architecture governance
To be qualified for this position, you must possess the following:
- 8+ years of experience in data architecture, cloud engineering, or platform focused roles
- Strong experience with designing, implementing, and maintenance of data solutions across on-premises and cloud platforms (Snowflake/Databricks/MS Fabric, and SQL Server)
- Advanced SQL proficiency and strong Python coding skills
- Proven experience modernizing enterprise database environments
- Experience implementing CI/CD pipelines for data platforms, preferably Azure DevOps
- Strong understanding of database performance tuning and availability design
- Experience designing systems for high availability and operational reliability
The following skills are preferred, but not required:
- Experience with CDC, streaming, or event-driven ingestion architectures is a plus
- Familiarity with enterprise CRM (Salesforce, home grown) or billing platforms (Great Plains, Dynamics) and data integration across these as data sources into a cloud DWH
- Experience with Elasticsearch or similar search/indexing platforms
- Knowledge of cost optimization in data cloud environments – across storage, usage and data accessibility
- Experience working in highly regulated or operationally critical industries, influencing data governance principles and industry best practices
For a full job description associated with this posting, please contact A. Duie Pyle’s Human Resources department. This job posting is intended solely for external advertising purposes and does not represent a comprehensive list of all job-related duties and qualifications.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
Job Description:
This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered.
AT&T will not hire any applicants for this position who require employer sponsorship now or in the future.
Join AT&T and reimagine the communications and technologies that connect the world. The Chief Information Office is responsible for advancing information technology performance and delivering solutions with a focus on maximizing ROI, increasing efficiency and enhancing the experience of end users. Guided by experienced leaders, Corporate Systems seamlessly integrate with advanced Technology and Operations to drive our enterprise forward. Our Systems Reliability and Software Delivery teams are unwavering in their commitment to excellence, ensuring every solution is robust and efficient. When you step into a career with AT&T, you won’t just imagine the future-you’ll create it.
What you’ll do:
Design and deliver enterprise-grade solutions for Release and Change Management within IT Service Management. Drive automation, data driven and AI enabled integration, and process optimization to enhance resilience, accelerate delivery, and ensure service reliability. Focus on transitioning from fragmented, application-specific practices to mature enterprise models by embedding AI-powered capabilities such as predictive risk analysis, automated change validation, and intelligent scheduling across RM/CM processes.
- Architecture & Design: Build scalable, high-availability systems for standardized RM/CM processes. Integrate automation, AI, and data analytics for efficiency and consistency.
- Agile & DevOps Enablement: Embed SAFe, Agile, DevOps, and CI/CD principles. Optimize pipelines for rapid, secure deployments.
- Data and AI-Enabled Release Management Strategy: Transition from fragmented, app-driven practices to a mature enterprise model by embedding data and AI-powered capabilities across solution areas—predictive analytics, automated risk assessment, and intelligent change validation.
- Requirements & Integration: Translate business needs into technical specifications. Ensure seamless integration with ITSM platforms, cloud services, and infrastructure.
- Sprint-Based Delivery: Use iterative sprint approach to develop standardized policies and tools, pilot quickly, and scale across the enterprise.
- Technical Leadership: Guide cross-functional teams, foster innovation, and align solutions with business objectives.
- Performance & Reliability: Analyze system performance, troubleshoot proactively, and minimize incidents. Benchmark metrics. Building Dashboard for tracking progress and metrics.
- Governance & Compliance: Standardize RM/CM processes with secure, auditable, and repeatable patterns.
- Continuous Improvement: Use post-release analytics to refine processes and adopt emerging trends.
- Documentation & Training: Maintain clear documentation and deliver training on AI-enabled RM/CM strategy to enterprise partners.
- Mentoring; Drives Culture of Continuous Improvement
What you’ll need:
- Expert level Knowledge of SDLC for SAFe Agile and DevOps environments; best-in-class Release and Change Management framework and IT Service Management.
- Data and AI Skillset: Advanced Data analytics, KPI metrics, and Prompt Engineering expertise; Guiding development of Agentic AI workflows and Gen AI use cases; Power BI, Python
- Governance and Communication: Establishing process framework, Implementing solutions and tools, Building standardized playbooks, and leading governance boards for ATS-wide implementation
What you’ll bring:
Required
- 7+ years in Systems Engineering, ITSM, RM/CM
- Expertise in SAFe, Agile, DevOps, CI/CD, Data Analytics, building Gen AI use cases
- Experience with AI technologies, Python, SQL, data analytics, Power BI and ITSM tools (e.g., ServiceNow)
- Modern Enterprise Release Management/Change Management and ITSM
- Advanced expertise in Excel, PowerPoint, PowerBI
Preferred
- BS/BA in Computer Science
- Preferred Tools (Modern Release Management processes for Agile and DevOps environments)
- Jira Align, JSM, Jira Cloud, Git for enterprise RM/CM
- Relevant certifications (SAFe, Agile, DevOps, AI/ML)
Our Principal System Engineering earns between $141,300-$237,400 USD Annual, not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.
Joining our team comes with amazing perks and benefits:
- Medical/Dental/Vision coverage
- 401(k) plan
- Tuition reimbursement program
- Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
- Paid Parental Leave
- Paid Caregiver Leave
- Additional sick leave beyond what state and local law require may be available but is unprotected
- Adoption Reimbursement
- Disability Benefits (short term and long term)
- Life and Accidental Death Insurance
- Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
- Employee Assistance Programs (EAP)
- Extensive employee wellness programs
- Employee discounts up to 50% off on eligible AT&T mobility plans and accessories,
- AT&T internet (and fiber where available) and AT&T phone.
