Deployment Synonym Jobs in Usa

• 
  
• A typical day will involve a mix of hands-on coding, architectural design, and research.
  
• The engineer will spend a significant portion of their time in Python, building and optimizing agentic AI systems using frameworks like LangChain.
  
• This includes integrating these agents with our backend services and deploying them using CI/CD pipelines into our cloud environment.
  
• They will also be responsible for researching and testing new agentic models and frameworks, monitoring agent behavior in production, and collaborating with data scientists and business stakeholders to refine requirements and ensure the ethical deployment of AI solutions.
  

• 
  
• Python
  
• JavaScript/TypeScript
  
• AI Tools and Libraries (e.g. LangGraph, LangChain, Deep Agents, Claude Skills, etc.)
  
• AI Models (e.g. Claude, OpenAI, etc.)
  
• AI Concepts (e.g. Prompt Engineering, RAG, Agentic AI, etc.)
  
• Distributed SDLC/DevOps (e.g. github, pipelines, VS Code, testing frameworks, etc.)
  
• Platforms (Container Platforms, Cloud Platforms, Document Databases, AWS)
  
• API Design
  

• 
  
• Deep hands-on experience in Python for AI/ML development.
  

• 
  
• Generative AI Development: Proven experience developing Gen AI or AI/ML solutions, from use case conceptualization to production deployment.
  
• Infrastructure & DevOps: Strong understanding of cloud environments (AWS preferred), LLM hosting, CI/CD pipelines, Docker, and Kubernetes.
  
• Agentic AI Concepts: Knowledge of agentic/autonomous systems (e.g., reasoning, planning, tool use).
  

• 
  
• Proficiency in Python development and FastAPI/Flask frameworks, along with SQL.
  
• Familiarity with agentic AI frameworks and concepts such as LangChain, LangGraph, AutoGen, Model Context Protocol (MCP), Chain of Thought prompting, knowledge stores, and embeddings.
  
• Experience developing autonomous agents using cloud-based AI services.
  
• Experience with prompt engineering techniques and model fine-tuning.
  
• Strong understanding of reinforcement learning, planning algorithms, and multi-agent systems.
  
• Experience working across cloud platforms (AWS, Azure, GCP) and deploying AI solutions at scale.
  

• 
  
• 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.
  

• 
  
• 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
  

Who We Are

Singlewire Software is the developer of Visitor Aware and InformaCast, leading visitor management and emergency notification platforms. Our software is used by more than 6,000 organizations around the world, including leaders in education, healthcare, manufacturing and other fields. We strive to keep people safe and informed, everywhere, every time.

The Opportunity

We have an exciting opportunity for a highly skilled Wireless Solutions Engineer to serve as the primary technical authority for wireless hardware, network design, deployment, and support of our new wearable panic button and alerting solutions leveraging Bluetooth Low Energy (BLE) and LoRaWAN technologies. This customer-facing role combines deep technical expertise with strong engagement across engineering, sales, partners, and customers ensuring that all deployed systems meet performance, reliability, and scalable standards. This position is located in Madison, WI.

Key Responsibilities:

• 
  
• Provide pre and post sales technical support, including RF predictive modeling and solution design and serve as an escalation point for complex technical issues.
  
• Help develop scalable installation models, develop and maintain acceptance procedures.
  
• Analyze and diagnose RF (Radio Frequency) interference, power consumption, and connectivity issues.
  
• Develop training materials and conduct sessions for partners and customers.
  
• Evaluate, test, and validate wireless hardware, sensors, and gateways.
  
• Serve as the escalation point for complex technical deployment and performance issues.
  

Required Qualifications:

• 
  
• Bachelor's degree in Electrical Engineering, Wireless Communications, related field or equivalent experience.
  
• Minimum 3 years of experience in wireless network design, RF engineering, or IoT deployment.
  
• Demonstrated success supporting customer-facing technical roles.
  
• Deep expertise in BLE and LoRaWAN protocols.
  
• Proficiency with RF design tools such as Hamina Planner, Ekahau, or iBwave.
  
• Ability to travel approximately 25% of the time.
  

Preferred Qualifications:

• 
  
• Certifications:
  
  
  • 
    
  • Hamina Certified Wireless Architect (HCWA)
    
  • Certified Wireless Network Administrator (CWNA)
    
  • Certified Wireless Design Professional (CWDP)
    
  • LoRaWAN Professional Certification
    
  
  
  
• Experience supporting large-scale IoT or wearable panic button deployments.
  
• Prior partner enablement or channel support experience.
  
• Strong analytical and problem-solving abilities.
  
• Excellent written and verbal communication skills.
  
• Ability to translate technical concepts into operational procedures.
  
• Strong organizational and project management skills.
  
• Ability to work independently and in cross-functional teams.
  

*At Securian Financial the internal position title is Data Science Sr Analyst or Data Science Consultant. The title and salary will be determined based on experience and applied skills.*

Summary

As an Operational Support Data Scientist at Securian Financial, you will bridge advanced analytics and day-to-day business operations by designing, deploying, monitoring, and continuously improving AI-driven solutions that support enterprise processes.

This role focuses on supporting reliable, scalable, and explainable AI solutions that enhance operational efficiency, decision support, customer experience, and risk management across Digital, Marketing, Sales, and Servicing functions.

You will operate at the intersection of data science, MLOps, and the business - ensuring models are maintained, enhanced, monitored, and aligned with Securian's Enterprise Data Strategy Vision and Operating Principles.

Responsibilities include but are not limited to:

AI Solution Development & Deployment

• Work with business teams to enhance existing solutions to enhance and optimize existing AI/ML solutions.

• Deploy and manage solutions using cloud-native tools (e.g., AWS SageMaker).

Operational Model Support & Optimization

• Monitor model performance, data drift, and operational KPIs.

• Troubleshoot production issues and continuously enhance and optimize models for performance, stability, and cost efficiency.

• Establish measurement frameworks to quantify operational impact of deployed solutions.

Data Engineering & Analytical Execution

• Transform structured, semi-structured, and unstructured data into actionable features and insights.

• Perform exploratory analysis and visualization to identify operational improvement opportunities.

• Collaborate with engineering teams to productionize data solutions.

Stakeholder Engagement & Explainability

• Partner with cross-functional operational stakeholders to understand business workflows and translate them into AI-enabled solutions.

• Communicate complex AI methodologies and results clearly to technical and non-technical audiences.

• Ensure model transparency, explainability, fairness, and ethical AI application in alignment with enterprise governance standards.

Required Qualifications

• Demonstrated experience developing, deploying, or supporting production AI/ML models in cloud environments.

• Strong proficiency in Python and experience with tools such as AWS SageMaker and GitHub.

• Experience building operationalized data science solutions (not just prototypes).

• Strong understanding of statistical modeling, machine learning algorithms, and model validation techniques.

• Ability to clearly explain technical concepts, model outputs, and operational trade-offs to stakeholders.

• Strong ethical judgment with a commitment to responsible and unbiased AI development.

Preferred Qualifications

• 2+ years of hands-on experience in data science, applied AI, or machine learning.

• Experience supporting AI solutions in operational or production environments.

• Familiarity with MLOps practices, model governance frameworks, and automation tooling.

• Experience working in regulated industries (financial services preferred).

#LI-hybrid **This position will be in a hybrid working arrangement.**

Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. If you're in a commutable distance (90 minutes) you'll join us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules.

The estimated base pay range for this job is:

Pay may vary depending on job-related factors and individual experience, skills, knowledge, etc. More information on base pay and incentive pay (if applicable) can be discussed with a member of the Securian Financial Talent Acquisition team.

Be you. With us. At Securian Financial, we understand that attracting top talent means offering more than just a job - it means providing a rewarding and fulfilling career. As a valued member of our high-performing team, we want you to connect with your work, your relationships and your community. Enjoy our comprehensive range of benefits designed to enhance your professional growth, well-being and work-life balance, including the advantages listed here:

Paid time off:

• We want you to take time off for what matters most to you. Our PTO program provides flexibility for associates to take meaningful time away from work to relax, recharge and spend time doing what's important to them. And Securian Financial rewards associates for their service by providing additional PTO the longer you stay at Securian.

• Leave programs: Securian's flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave.

• Holidays: Securian provides nine company paid holidays.

Company-funded pension plan and a 401(k) retirement plan: Share in the success of our company. Securian's 401(k) company contribution is tied to our performance up to 10 percent of eligible earnings, with a target of 5 percent. The amount is based on company results compared to goals related to earnings, sales and service.

Health insurance: From the first day of employment, associates and their eligible family members - including spouses, domestic partners and children - are eligible for medical, dental and vision coverage.

Volunteer time: We know the importance of community. Through company-sponsored events, volunteer paid time off, a dollar-for-dollar matching gift program and more, we encourage you to support organizations important to you.

Associate Resource Groups: Build connections, be yourself and develop meaningful relationships at work through associate-led ARGs. Dedicated groups focus on a variety of interests and affinities, including:

• Mental Wellness and Disability

• Pride at Securian Financial

• Securian Young Professionals Network

• Securian Multicultural Network

• Securian Women and Allies Network

• Servicemember Associate Resource Group

For more information regarding Securian's benefits, please review our Benefits page.

This information is not intended to explain all the provisions of coverage available under these plans. In all cases, the plan document dictates coverage and provisions.

Securian Financial Group, Inc. does not discriminate based on race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, marital or familial status, pregnancy, disability, genetic information, political affiliation, veteran status, status in regard to public assistance or any other protected status. If you are a job seeker with a disability and require an accommodation to apply for one of our jobs, please contact us by email at , by telephone (voice), or 711 (Relay/TTY).

To view our privacy statement click here

To view our legal statement click here

Job Title: SAP Cutover Manager (S/4HANA)

Location: Jacksonville, FL | Travel Required: Up to 75%

Employment Type: Full-Time / Contract

Job Summary

We are seeking an experienced SAP Cutover Manager to lead and coordinate the transition from legacy systems to SAP S/4HANA during enterprise transformation initiatives. This role is responsible for planning, managing, and executing all cutover activities leading up to and during system go-live. The ideal candidate will have strong experience with SAP implementations, data migration, and Procure-to-Pay (P2P) processes, and will serve as the central point of coordination between functional, technical, and business teams during critical deployment phases.

The position is aligned with our Jacksonville, FL office and requires up to 75% travel depending on project needs.

Key Responsibilities

Cutover Planning & Strategy

• Develop and manage a detailed cutover strategy and execution plan, including comprehensive cutover checklists and hour-by-hour activity timelines.
• Define system downtime windows, migration schedules, validation activities, and go-live readiness checkpoints.
• Identify dependencies, risks, and mitigation strategies across project workstreams.

Mock Cutovers & Rehearsals

• Lead mock cutovers / dress rehearsals to test the cutover plan and validate timing and sequencing of activities.
• Refine procedures based on rehearsal outcomes and ensure team readiness for go-live.

Cross-Functional Coordination

• Coordinate across technical teams (ABAP, Basis, security, data migration) and functional teams (Finance, Procurement, Supply Chain) to ensure tasks are executed in the correct sequence.
• Manage system transports, configuration readiness, and deployment dependencies.

Data Migration Oversight

• Oversee migration of master data (Vendors, Materials) and open transactional data (Open Purchase Orders, Invoices) into SAP S/4HANA.
• Ensure proper extraction, transformation, and loading (ETL) processes using tools such as LSMW or LTMC.
• Coordinate data validation and reconciliation with business stakeholders.

Go-Live Execution

• Direct cutover activities during the go-live window, ensuring tasks are completed according to the approved plan.
• Monitor progress, track issues, and escalate risks as needed.
• Facilitate command center or war-room coordination during deployment.

Hypercare & Stabilization

• Support post-go-live hypercare activities, including issue tracking, coordination of fixes, and transition to steady-state operations.
• Work with business and technical teams to stabilize the environment and ensure adoption.

Required Qualifications

• 8+ years of experience in SAP implementations or ERP transformation programs.
• Proven experience managing cutover activities for SAP S/4HANA deployments.
• Strong understanding of Procure-to-Pay (P2P) business processes.
• Experience coordinating across multiple SAP teams and stakeholders.
• Familiarity with SAP data migration tools such as LSMW or LTMC.
• Strong project management, organizational, and communication skills.

Preferred Qualifications

• Experience with SAP S/4HANA greenfield or brownfield implementations.
• Background in SAP Project Management or Program Management.
• PMP, SAP Activate, or similar certifications are a plus.

Travel Requirements

• Up to 75% travel depending on project phase and deployment schedule.

Location

• Jacksonville, FL

Position - Cloud DevOps Engineer

Location - Chicago, IL ( Need Locals/Onsite )

Duration : 12 Months

Rate : $60/Hr on C2C (Max No rate)

Job Description:

• Design, implement, and maintain scalable and secure cloud infrastructure on Amazon Web Services (AWS).
• Build and manage end-to-end CI/CD pipelines using Harness CI/CD to automate build, test, and deployment workflows.
• Implement and maintain application performance monitoring using Dynatrace.
• Integrate security scanning tools such as Veracode, Wiz, and SonarQube within CI/CD processes.
• Ensure adherence to DevSecOps best practices and compliance standards.
• Automate infrastructure provisioning using Infrastructure as Code (IaC) tools (Terraform or CloudFormation).
• Deploy and manage containerized applications using Docker and Kubernetes.
• Implement centralized logging, monitoring, and alerting to maintain system reliability and operational visibility.
• Manage version control systems such as Git, including branching and merging strategies.
• Optimize cloud resources to enhance application performance and reduce infrastructure costs.
• Collaborate with development teams to troubleshoot build, deployment, and environment-related issues.
• Maintain high availability, fault tolerance, and disaster recovery strategies for production systems.
• Monitor system health and respond to production incidents in a timely manner.
• Document infrastructure architecture, deployment processes, and operational procedures.
• Ensure proper configuration management and consistency across environments.
• Participate in release planning and support deployment strategies.
• Implement automated testing and validation steps within the CI/CD workflow.

Murali C

Job Title – Senior KDB+ Developer--SINDC5764860

Location – Westlake, TX / Jersey City, NJ / Merrimack, NH / Smithfield, RI / Boston, MA

Duration – Long Term

Job Summary

The Sr. KDB+ Developer will work within the Regulatory Reporting Technology team to build and maintain critical brokerage applications.

This role focuses on hands-on development, architecture participation, system analysis, and delivery of high-quality applications used for regulatory reporting across multiple asset classes.

The developer will collaborate with business partners and cross-functional technology teams to support reporting solutions operating under high regulatory scrutiny.

Key Responsibilities

• Develop, enhance, and maintain applications supporting regulatory reporting functions.
• Collaborate with business teams and other technology groups to build reporting capabilities across multiple asset classes.
• Participate in architecture discussions, solution design, and technical analysis.
• Deliver hands-on development using foundational languages such as KDB, Java, and Python.
• Support end-to-end development, deployment, testing, and operational processes.
• Work within Agile environments, including Kanban and Scrum teams.
• Support application deployment automation and CI/CD pipelines.
• Develop user interface components using frameworks such as Angular or React.
• Work with relational and NoSQL databases for application development.
• Utilize DevOps tools, including Kubernetes, Maven, Jenkins, Bitbucket/Stash/Git, Docker, and Ansible.
• Troubleshoot and maintain event-streaming integrations such as Apache Kafka.
• Support automated deployments using tools such as uDeploy.
• Develop REST-based microservices and API-driven integrations.
• Collaborate with partners to deliver innovative and compliant data solutions.

Required Qualifications

• Extensive experience with KDB+.
• 10+ years of experience in foundational development languages (KDB, Java, Python).
• Strong proficiency in Linux and bash.
• Experience with high-volume dataset management.
• Familiarity with Control-M.
• 5+ years of experience with user interface frameworks (Angular, React, etc.).
• Hands-on experience with application deployment automation and CI/CD pipelines.
• Experience with relational and NoSQL databases.
• Experience with event streaming platforms such as Apache Kafka (preferred).
• Experience using version control tools such as Bitbucket, Stash, or Git.
• Experience working with Artifactory and API registries.
• Knowledge of automated deployments using uDeploy.
• Experience developing REST microservices.
• Experience working in Agile environments (Kanban and Scrum).

Preferred Qualifications

• Experience working with containerization and orchestration tools such as Kubernetes and Docker.
• Familiarity with DevOps practices and tools such as Maven, Jenkins, and Ansible.
• Experience working in regulatory reporting, capital markets, or brokerage environments.
• Experience with event-driven architectures or real-time data pipelines.

We are seeking a Senior Lead Developer to lead the development and deployment of our backend services. In this role, you will be the bridge between our PostgreSQL database and React frontend, responsible not only for writing high-performance Python code but also for architecting the CI/CD pipelines that bring our applications to life. You will ensure our integration layers are scalable, secure, and automatically deployed.

Key Responsibilities

• API & Backend Development: Design and maintain production-grade RESTful APIs using Python (FastAPI, Flask) with a focus on asynchronous processing.

• Database Engineering: Architect relational schemas and write optimized SQL in PostgreSQL, ensuring data integrity and query performance.

• React Integration: Partner with frontend teams to define API contracts, handle state-consistent data fetching, and implement secure authentication (JWT/OAuth2).

• CI/CD & Deployment: Build and manage automated deployment pipelines (e.g., Azure DevOps or Jenkins) to move code from local environments to staging and production.

• Containerization & Cloud: Package applications using Docker and manage deployments on cloud platforms or container orchestrators (Kubernetes/ECS).

• System Reliability: Implement automated testing (PyTest), logging, and monitoring to ensure high availability of integration services.

Technical Requirements

• Experience: 10+ years of professional backend development with a heavy emphasis on Python and API architecture.

• PostgreSQL Expert: Advanced SQL knowledge, including indexing strategies, migrations (Alembic/Flyway), and performance profiling.

• DevOps Tooling: Hands-on experience with Docker and building CI/CD pipelines for Python applications.

• Frontend Literacy: Solid understanding of React (Hooks, Context API) and how it consumes complex JSON structures.

• Infrastructure as Code (Bonus): Familiarity with Terraform or AWS CloudFormation is a significant plus.

The "Lead" Expectation

At the 10-year mark, we expect more than just "feature delivery." We are looking for a candidate who:

• Automates Everything: If a task is done twice, they write a script or a CI job for it.

• Designs for Failure: Implements proper error handling, retries, and health checks in the API layer.

• Collaborates Across the Stack: Can jump into a React component or a Postgres execution plan to find the root cause of a bottleneck.

Role: Engagement Manager– Digital Health Experience

Location: Remote (U.S.)

Duration: 6-Month Contract

Working Time Zone: PST (Pacific Time Zone)

Position Overview

We are seeking a Engagement Manager– Digital Health Experience to lead the deployment, adoption, and engagement optimization of mobile digital health applications within the U.S. healthcare ecosystem. This role requires a hands-on professional with strong experience in launching digital health platforms, managing deployments, and driving sustained patient engagement through data-driven engagement strategies.

The ideal candidate will have experience deploying consumer-facing healthcare applications used by patients across providers and payer organizations, while leveraging engagement tools and analytics platforms to improve patient adoption, retention, and usage metrics such as DAU/MAU.

This role will work closely with product, engineering, digital marketing, and care management teams to ensure successful rollout of mobile applications and to design engagement loops that increase patient participation and long-term platform usage.

Key Responsibilities

• Lead deployment and rollout of mobile digital health applications across healthcare provider or payer environments.
• Manage end-to-end implementation and project management of digital health platforms, ensuring successful launches and smooth adoption by patient populations.
• Design and implement patient engagement strategies and engagement loops to drive consistent application usage and retention.
• Utilize engagement platforms such as , Intercom, Mixpanel, or similar tools to design communication workflows, patient messaging, and engagement campaigns.
• Monitor and optimize digital engagement metrics, including DAU, MAU, retention rates, and user engagement trends.
• Analyze user behavior data and analytics to improve patient onboarding, engagement journeys, and digital experience.
• Collaborate with product, analytics, and engineering teams to continuously enhance patient engagement features and workflows.
• Coordinate with healthcare stakeholders to ensure digital tools align with clinical workflows and patient care programs.

Required Qualifications

• Strong experience in deploying and managing digital health applications within healthcare provider or payer environments.
• Hands-on experience in project management and platform implementation for consumer-facing digital products.
• Experience driving user engagement, retention, and adoption for mobile or digital applications.
• Familiarity with engagement platforms such as , Intercom, Mixpanel, or similar customer engagement and analytics tools.
• Experience tracking and optimizing digital engagement metrics such as DAU, MAU, retention, and user lifecycle engagement.
• Strong analytical and problem-solving skills with the ability to translate data insights into engagement improvements.

Preferred Qualifications

• Experience working within digital health, healthcare technology, or healthcare consumer platforms.
• Familiarity with healthcare ecosystems including provider systems, payer platforms, and patient engagement solutions.
• Experience integrating engagement tools with mobile health applications or digital health platforms.
• Background working with health systems, health plans, digital health startups, or healthcare technology consulting firms.