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Senior ServiceNow Developer

Full Time-Remote but candidates must be close to office in Ridgefield Park, NJ or Austin, TX

Salary: $120k-150k depending on experience + Benefits & Bonus

 

Overview:

We are looking for an experienced ServiceNow Developer to work hands on in the ServiceNow platform working on innovative projects including focused on advancements in custom scoped applications.

 

What will you be doing:

  • Collaborating closely with a team of professionals within the ServiceNow Development team & the ServiceNow Architect
  • Utilize your knowledge & work projects broadly within ITSM and creating custom scoped applications for specific needs
  • Assist in gathering requirements and designing ServiceNow solutions for external customers & stakeholders while focusing mainly on hands on technical work
  • Work on implementations from start to finish, as well as integrations & modernizing the existing platform
  • Be hands on technically working to ServiceNow best practices for out-of-the-box solutions, as well as with custom solutions/apps as needed for specific requirements

 

Experience:

  • Strong ServiceNow technical development background
  • Strong background in Scripting (JavaScript, Glidescript), Github, JIRA and PPM
  • Strong with integrations (REST, SOAP, MID Server)
  • ServiceNow certifications desirable - CSA, CAD, CIS etc...

 

For more information about this position, get in contact today!

Job Description

We are searching for a Database Architect services specific to the InterSystems IRIS data management software to support the centralization and cloud-modernization of the client in Tallahassee, FL. A criminal history record check, including fingerprinting, on the consultant will be conducted. The duration is till end of June 2026. This position will be full-time and Onsite.


 

What You’ll Do

  • Contractor will perform the following tasks in the time and manner specified

  • Design cloud infrastructure to support a centralized HMS

  • Provide subject matter expertise in collaboration with the Centralization of HMS (CHMS) to Project Team to design and establish the cloud environment

  • Perform configuration and optimization of the centralized IRIS instance

  • Provide data migration support

  • Collaborate with the CHMS Team to develop the data migration strategy

  • Implement Extract, Transform, Load (ETL) processes to migrate data into the centralized environment

  • Perform tuning and optimization of infrastructure supporting the HMS in a centralized cloud environment

  • Perform routine monitoring of database performance ]

  • Gather baseline metrics of the HMS performance in a distributed environment

  • In collaboration with the CHMS Team, develop performance metrics for a centralized instance of the HMS

  • Perform tuning and optimization of the centralized HMS database to achieve performance goals

  • Define and implement caching strategies to support performance goals

  • Collaborate with the CHMS Team to maintain a database with the intent of ensuring data integrity

  • Monitor database performance and integrity using tools to detect and resolve database corruptions or inconsistencies

  • Update and patch the IRIS database to fix known bugs and vulnerabilities that could compromise data integrity Implement data redundancy techniques to prevent data loss in case of hardware failure

  • Tune database for optimal performance, contributing to integrity by reducing the likelihood of errors during high-load scenarios

  • Work closely with developers to ensure that database design and access patterns are optimized for data integrity

  • Collaborate with the CHMS Team to manage the creation of user accounts and maintain security levels at the direction of the Department.

  • Understand the roles and responsibilities of each user or user group to determine the level of access and permissions needed

  • Utilize the InterSystems IRIS management portal to create new accounts

  • Assign appropriate privileges and access levels to users based on their role and necessity ensuring the principle of least privilege is followed

  • Review user access levels and adjust as necessary

  • Monitor database access and activities to detect any unauthorized or suspicious behavior

  • Complete job required training as assigned by the Department.

  • Submit verification of completion of each training (i.e. submit a completed sign-in sheet, submit a certification of completion, etc.) to the Department Contract Manager

  • DATA SECURITY AND CONFIDENTIALITY TASK:

  • The Contractor, its employees, subcontractors, and agents must comply at all times with all Department data security procedures and policies in the performance of this scope of work as specified in the Data Security and Confidentiality document

  • Contractor will complete and submit the following deliverables to the Department in the time and manner specified

  • Monthly: Provision of IRIS Database Manager Services in the time and manner specified in Tasks

 

What You'll Need

 

Required:

  • The Contractor must possess the following minimum qualifications and experience:

  • 10 years of documented experience as a Database Manager managing and optimizing InterSystems IRIS and Cache databases, including experience with its advanced features for scalability, performance, and reliability

  • 5 years of documented experience with cloud platforms such as Amazon Web Services (AWS), Azure, or Google Cloud. Experience must demonstrate knowledge of cloud database services, cloud storage solutions, and cloud migration strategies

  • Documented extensive experience in multiple database migrations, preferably some experience moving databases to the cloud

  • Documented experience in consolidating and centralizing databases, ideally in a large-scale environment, including planning, executing, and overseeing the centralization process

  • Expertise in designing and implementing backup strategies and disaster recovery plans in a cloud environment

  • Documented experience tuning database for performance by optimizing queries, indexing strategies, and server configurations

  • Proficiency in automation tools and scripting languages for database tasks. Documented experience with tools like PowerShell, Bash, or Python

  • Familiarity with DevOps practices and tools, and experience in implementing Continuous Integration/Continuous Deployment (CI/CD) Practices

  • Preference given to candidates with Intersystems IRIS Certification(s); particularly the Intersystems IRIS System Administration Specialist

  • Deliver end-to-end automated solutions which include technical implementation of the ServiceNow Platform, Core System, and Applications
  • Deliver a high level of knowledge and customer service within the ITSM Suite
  • Explain the offerings available with the ServiceNow ITSM Suite
  • Ability to architect, develop and convert customers legacy solutions into ServiceNow is a plus
  • Implement Virtual Agent and Predictive Intelligence processes, workflow customization, ticketing, process automation, report development, dashboard creation, and system configurations
  • Apply Agile software development practices for customizations to the platform and applications
  • Organizing and prioritizing development effort, interfacing with vendors and management, and potentially coordinating effort of additional administrators
  • Consider dependencies, relationships, and integration points to ensure proper solution integration with other systems when applicable
  • Effectively manage and execute high level tasks assigned via 'stories'
  • Assists junior analysts through project(s) lifecycles
  • Manages work against an often demanding timeline
  • Communicates professionally and effectively, through verbal and non-verbal methods with business professionals and clients daily
  • Flexible and has the ability to manage multiple projects concurrently
     
Required

What You'll Need
 
  • Deep functional and technical knowledge of ServiceNow and demonstrable experience with ServiceNow platform navigation, administration, configuration, and scripting
  • 5+ years of ServiceNow Development
  • Virtual Agent and Predictive Intelligence experience
  • Background in either software development or IT Service management
  • Understanding of ITIL concepts and IT Service Management practices
  • Understanding of Agile based approach to software development
  • Effective communication skills via verbal and non-verbal methods
  • Strong attention to detail
  • Problem solving ability
     
Preferred
 
  • ServiceNow Admin (or higher) certifications
  • ServiceNow Certified System Administrator
  • ServiceNow Certified Implementation Specialist
  • ITIL certification

An exciting AI-driven FinTech company are hiring a Machine Learning Engineer to lead complex project discussions and implementation, enhance engineering processes for scalability and collaborate with customers to tackle challenges effectively.


Responsibilities:

  • As the Machine Learning Engineer, you will drive discussions and champion the implementation of multiple complex projects.

  • You will help evolve the company’s engineering processes, tools and systems to enhance scalability, productivity and team unity.

  • Source, interview and mentor talent while fostering a culture of excellence, agility and humility.

  • Engage and collaborate with customers to effectively address complex challenges.



Skillset:

  • At least 4 years of software engineering experience.

  • Previous involvement with an early-stage company, actively contributing to product development from inception.

  • Proven track record of delivering top-notch products at scale.

  • Openness to actively engage with and comprehend customer requirements.

  • Proficiency in transforming business and product ideas into resilient engineering solutions.

  • Enthusiasm for continuous growth and mastery in your field while tackling customer challenges.



Benefits:

  • Salary: $170k - $250k DOE.

  • Medical, dental and vision insurance.

  • Equity.



Interested? Apply now in the link below or email your resume directly to angelo@alldus.com for consideration.

Our client are seeking a Cloud & Logic Apps Developer to join their team on a contract basis in the DMV area. This role will be on-site 2 days per week & remote the remaining 3 days. This position requires an Active Top Secret Security Clearance.

The Support Service Specialist should have a minimum of five (5) years experience with Microsoft Logic Application suite in an Azure environment:
  • Understanding of cloud technologies (maintenance and administration
  • Azure Logic Application
  • Azure functions
  • Virtual Machines
  • API Management
  • API Data gateway
  • Complete knowledge in XSLT translation
  • Working knowledge of Javascript
  • Microsoft Logic Applications flow development/analysis
  • Understanding of custom Services, Adapters, and Protocols
  • Data file transfer types (FTP, FTPS, SFTP, HTTPS, AS2)
The Support Service Specialist must be familiar with the following technologies and concepts:
  • Azure cloud operation and administration
  • Coding development lifecycle methodologies
  • Virtualized servers and hosted server architectures.
  • Security standards (PGP/GPG, SSL certificates, SSH, cloud-based secrets)
  • Relational database management systems (e.g., MSSQL, Oracle, DB2)
  • System and port architecture
Should you have the above skill set & meet the clearance requirements please do not hesitate to get in touch.

Our client is an exhilarating Silicon Valley startup poised to revolutionize AI-driven products. They are hiring a Senior Machine Learning Engineer to lead the charge in developing the company's groundbreaking AI offerings.


Responsibilities: 

  • As a Senior Machine Learning Engineer, you will drive the lifecycle of ML projects, overseeing from inception to deployment.

  • You will be responsible to strengthen the reliability and robustness of our AI systems and LLMs.

  • Partner with cross-functional teams to foster innovation and deliver scalable solutions.



Skillset: 

  • 4+ years of hands-on experience deploying ML models in production environments.

  • Proficiency in ML technologies including Python, PyTorch, Huggingface transformers, Numpy, Scikit-learn, and Pandas.

  • Expertise in deep learning methodologies for unstructured data analysis.

  • Experience in utilizing platforms like Google Vertex or AWS SageMaker for model training and deployment.

  • Effective collaboration skills demonstrated through clear verbal and written communication.

  • Ability to flourish in fast-paced, unstructured environments with a strong sense of ownership and self-sufficiency.



Salary: $150k - $200k DOE



Interested? Apply now in the link below or email your resume to steven@alldus.com for consideration.