19 Microsoft jobs in Washington

• Provide advanced technical support to customers via phone, email, and chat.
• Diagnose and resolve complex hardware, software, and network issues.
• Escalate unresolved issues to appropriate internal teams (e.g., development, system administration).
• Document all support interactions, troubleshooting steps, and resolutions accurately.
• Maintain and update the internal knowledge base with solutions and workarounds.
• Identify recurring customer issues and provide feedback for product improvement.
• Assist in training and mentoring Tier 1 support personnel.
• Ensure customer satisfaction by delivering timely and effective support.
• Monitor system performance and troubleshoot related issues.
• Contribute to the development and refinement of support procedures.

• Associate's or Bachelor's degree in Information Technology, Computer Science, or a related field.
• Minimum of 3 years of experience in technical support, preferably at Tier 2 level.
• Strong understanding of operating systems (Windows, macOS, Linux).
• Proficiency in troubleshooting network connectivity and common software applications.
• Excellent problem-solving and analytical skills.
• Superb customer service and communication skills.
• Experience with ticketing systems (e.g., Zendesk, ServiceNow).
• Ability to explain technical concepts to non-technical users.
• Experience working in a hybrid work model.

We now have an exciting opportunity for a Senior Data Scientist to join the Maximus AI Accelerator supporting the enterprise at large. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team.

You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes.

This position will be focused on strategic company-wide initiatives but will play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.)

This is a remote position.

Essential Duties and Responsibilities:
- Develop, collaborate, and advance the applied and responsible use of AI, ML, mathematics, and data science solutions throughout the organization by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
- Contribute and lead efforts across the organization to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, Large Language Models (LLMs) and classical machine learning.
- Develop mathematically rigorous process improvement procedures.
- Maintain advanced, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital.

Job-Specific Essential Duties and Responsibilities:

- Develop, collaborate, and advance the applied and responsible use of AI, ML and data science solutions throughout the enterprise by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation.

- Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital.

- Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning.

- Contribute to the development of mathematically rigorous process improvement procedures.

- Maintain current knowledge and evaluation of the AI technology landscape and emerging developments and their applicability for use in production/operational environments

Minimum Requirements

- Bachelor's degree in relevant field of study and 5+ years of relevant professional experience required, or equivalent combination of education and experience.

Job-Specific Minimum Requirements (required skills that align with contract LCAT, verifiable, and measurable):

- Professional Programming experience (e.g. Python, R, etc.)

- Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML.

- Experience with API programming

- Experience with Linux

- Experience with Statistics

- Experience with Machine Learning

- Experience working as a contributor on a team

Minimum Education requirement:

- BS in a quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.)

Years of Required Work-Related Experience:

- 5+ yrs experience in Artificial Intelligence and Machine Learning

- 5+ yrs experience in Software Development

Required Certifications:

- None

Preferred Skills and Qualifications:

- Masters in quantitative discipline

- Experience developing machine learning or signal processing algorithms:

- Ability to leverage mathematical principles to model new and novel behaviors.

- Ability to leverage statistics to identify true signals from noise or clutter

- Experience working as an individual contributor in AI

- Use of state-of-the-art technology to solve operational problems in AI and Machine Learning.

- Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles

- Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions.

- Ability to build reference implementations of operational AI & Advanced Analytics processing solutions.

- Use of a variety of programming languages, including but not limited to Python/Java and frontend frameworks for POC demos and dashboarding

- Use and development of program automation, CI/CD, DevSecOps, and Agile

- Experience with deep learning model architecture development and philosophy
- Cloud certifications (AWS, Azure, or GCP)
- 5+ yrs of related experience in AI, advanced analytics, computer science, or software development.
- Python Experience with TensorFlow, PyTorch, and Pandas

EEO Statement

Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.

Pay Transparency

Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.

Accommodations
Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at .

Minimum Salary

$

150,000.00

Maximum Salary

$

180,000.00

• Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
• Highly motivated, self-learner, and technically inquisitive
• Experience in programming language Java and understanding of the software development life cycle
• Knowledge of Core Java , javascript , C++ or software programming
• Spring boot, AWS, Microservices and REST API's experience
• Excellent written and verbal communication skills

• Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
• Highly motivated, self-learner, and technically inquisitive
• Experience in programming language Java and understanding of the software development life cycle
• Knowledge of Statistics, Python, data visualization tools
• Excellent written and verbal communication skills

• Assist in the collection, cleaning, and preprocessing of large datasets for machine learning tasks.
• Develop, train, and evaluate machine learning models under the guidance of senior data scientists.
• Implement algorithms for data analysis, prediction, classification, and clustering.
• Explore and experiment with various machine learning techniques and frameworks.
• Collaborate with team members to interpret model results and provide actionable insights.
• Assist in the deployment and monitoring of machine learning models in production environments.
• Contribute to the documentation of code, methodologies, and project findings.
• Participate actively in team meetings, code reviews, and brainstorming sessions.
• Learn and apply best practices in data science, machine learning, and software development.
• Present project progress and findings to the team and stakeholders.
• Stay updated with the latest advancements and research in the field of data science and machine learning.

• Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.
• Strong foundation in machine learning concepts, algorithms, and statistical modeling.
• Proficiency in programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) or R.
• Familiarity with data manipulation and database querying (e.g., SQL).
• Excellent analytical and problem-solving skills.
• Strong communication and collaboration skills, essential for effective remote teamwork.
• Eagerness to learn and adapt to new technologies and methodologies.
• Ability to work independently and manage time effectively in a remote setting.
• Prior experience with cloud platforms (AWS, Azure, GCP) is a plus.
• Enthusiasm for contributing to innovative projects and a desire to grow within the data science domain.

Maximus is currently hiring a Senior Data Scientist to join our Veterans Evaluation Services (VES) team. This is a remote opportunity. The position is responsible for leading advanced analytics and data-driven decision-making initiatives across the organization. In this role, you will leverage your expertise in statistical modeling, machine learning, and data engineering to solve complex business problems and drive strategic outcomes. You will collaborate with cross-functional teams and influence key stakeholders through actionable insights and predictive modeling. This role focuses on advanced dashboard design (Qlik), data science projects, and data analysis projects. The key programming languages are SQL and Python. The role reports to the Director of Data and Analytics.

Due to contract requirements, only a US Citizen or a Green Card holder can be considered for this opportunity.

Essential Duties and Responsibilities:

- Perform hands-on data analysis and modeling with huge data sets.

- Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.

- Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.

- Discover data sources, get access to them, import them, clean them up, and make them "model-ready."

- Create and refine features from the underlying data.

- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.

- Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.

- This role focuses on advanced dashboard design (Qlik), data science projects, and data analysis projects. The key programming languages are SQL and Python. The role reports to the Director of Data and Analytics.

- Advanced, succinct dashboard design and storytelling experience is required

- Machine learning experience in text and trend modeling is required

- 3+ years of advanced SQL development experience is required

- Ad hoc data analysis and data presentation experience is required

- Experience in clear explanation (verbal and electronic) of complex topics and clarity in analytics presentation is required

Please note upon hire, Veteran Evaluation Services (VES), a Maximus Co. will provide all necessary computer equipment that is to be utilized to fulfil the duties of your role. New hires will not be exempt from using company provided equipment.

Home Office Requirements Using Maximus-Provided Equipment:

- Internet speed of 20mbps or higher required (you can test this by going to

- Connectivity to the internet via either Wi-Fi or Category 5 or 6 ethernet patch cable to the home router

- Private work area and adequate power source

- Must currently and permanently reside in the Continental US

Minimum Requirements

- B.S. or B.A. in Computer Science, Information Systems, Business Analytics, Mathematics, Statistics, Engineering, or a related technical field required

- Advanced degree in Computer Science, Information Systems, Business Analytics, Mathematics, Statistics, Engineering, Business Administration or a related field preferred.

- 5+ years using major machine learning/deep learning frameworks (e.g., Scikit-learn, PyTorch, TensorFlow and Keras) and algorithms (e.g., CNN, GAN, LSTM, RNN, XGBOOST).

- 5+ years of data engineering experience with modern big data analytics architectures (Hadoop, SQL, HIVE, Spark, Snowflake, etc.) on major cloud platforms (e.g., AWS, Azure, Google Cloud).

- 5+ years programming skill in Python, Scala, Julia.

- Working knowledge with modern cloud-based data storage and compute environments (e.g., AWS Sagemaker, Databricks in Azure, AI-platform in GCP, etc.).

- Experience deploying ML models into discovery/production environment to drive insights using MLOps a plus.

- Experience working in an agile delivery model a plus.

- Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques.

- Ability to communicate complex ideas in a clear, precise, and actionable manner.

- Excellent communication and presentation skills, with the ability to articulate new ideas and concepts to technical and non-technical partners.

- PowerBI experience a plus.

- Snowflake and Snowpark experience using SQL and Python is preferred

- Qlik experience is preferred

- Master's degree in data science, machine learning, or related field is strongly preferred

EEO Statement

Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.

Pay Transparency

Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.

Minimum Salary

$

120,000.00

Maximum Salary

$

155,000.00

Maximus is seeking a Cloud Engineer to support a defense client remotely.

This position is contingent upon award. This position requires an active Top Secret security clearance with SCI eligibility and is remote. Travel to Washington, D.C., Northern VA, Boston, MA, and San Antonio, TX, is required.

Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS023, T5, Band 8

Job-Specific Essential Duties and Responsibilities:

• Research, design, develop, run tests, and evaluate systems supporting cloud implementation and integration with cloud service providers, applying principles and techniques of computer science, engineering, and mathematical analysis.
• Plan and conduct technical tasks associated with implementation and maintenance of internal cloud enterprise shared virtualization infrastructure.
• Develop and execute cloud solution roadmaps as they relate to business and execute company strategy to drive the achievement of business objectives.
• Formulate and design systems, using scientific analysis and mathematical models to predict and measure outcome and consequences of design.
• Analyze cloud requirements to determine feasibility of design within time and cost constraints.
• Consult with engineering staff to support hardware, software, operational and performance requirements of overall cloud technology system.

• Candidates must have an active Top Secret with SCI eligibility required.
• BS in Computer Science, information Technology, or related field. 10 years of experience may be substituted for a degree.
• 8 Years of work-related experience is required.
• Security+ or DoD 8570 IAT-II certification required.
• Ability to travel 10% - 20%.

• AWS Solutions Architect - Associate, Azure Fundamentals, Google Associate Cloud Engineer Certification, IBM Certified Technical Advocate - Cloud v5, or other cloud certification.
• Understanding of at least one major cloud environment provider.
• Knowledge of networking concepts.
• Familiar with Python and Java programming scripts.
• Understanding and practical experience in CI/CD pipelines and tools such as Jenkins, GitLab CI, etc.
• Understanding security best practices including encryption, access management, and secure network traffic.
• Experience using Infrastructure as Code (IaC) Terraform tool.
• Knowledge of monitoring and logging tools for cloud environments
• Proven experience developing detailed plans, managing timelines and milestones, and allocating resources effectively.
• Effective communicator to work with a geographically separate team.

Minimum Requirements

TCS023, T5, Band 8

EEO Statement

Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.

Pay Transparency

Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.

Minimum Salary

$

170,000.00

Maximum Salary

$

188,000.00

The Sr. Cloud Engineer is a hands-on position that requires the ability to plan, design, and implement technical cloud solutions. You will help combine software and systems to develop creative engineering solutions for streamlined operations. Much of our support focuses on optimizing legacy systems, deploying new infrastructure and cloud services, and reducing work through automation of legacy processes. You will join a dedicated team of professionals with a diverse set of experiences and skills. In this environment, you will take a hands-on lead for the dedicated support team, supported by a larger matrixed IT organization.

This is a remote position.

Essential Duties and Responsibilities

- Work with development teams throughout the software life cycle ensuring sustainable software releases.

- Perform hands on management of cloud infrastructure and automation tools.

- Document cloud architecture, security measures, and participate in client audits.

- May provide guidance, coaching, and training to other employees within job area on automation technologies, and collaborate with other cloud support teams that support the overall organization.

- Serve as the primary technical point of contact for all cloud services consumed by the business.

- Lead performance testing, chaos engineering, and remediation efforts for continual improvement.

Job-Specific Essential Duties and Responsibilities:

- Embrace and advocate a DevOps mindset

- Troubleshoot major incidents, facilitate blameless post-mortem RCA documentation

- Work with development teams throughout the software life cycle ensuring sustainable software releases

- Perform analytics on previous incidents and usage patterns to better predict issues and take proactive corrective action

- Build and drive adoption for greater reliability, resiliency, and scalability of our production applications, while maintaining a cost conscience approach

- Lead and participate in performance tests; identify bottlenecks, opportunities for optimization, and capacity demands

- Lead and participate in disaster recovery tests for the environments you manage

- Perform hands on management of cloud infrastructure and automation tools

- Document cloud architecture, security measures, and participate in client audits

- Mentor and train other members of the dedicated DevOps team and collaborate with other cloud support teams that support the overall organization

- Understanding cloud security best practices and work with security teams to design

and implement a security plan

- Serve as a technical point of contact for all cloud services consumed by the team, and communicate any new enterprise standards or best practices to be adopted by the DevOps teams

- Participate in the 24x7 support coverage as needed

Critical Soft Skills:

- Excellent interpersonal skills to interact with customers, peers, and executives

- Excellent organization and communication skills, both written and verbal

- Ability to multi-task and to prioritize rapidly changing client demands, in a fast-paced and deadline-oriented environment

- Ability to work well both independently and in teams

Minimum Requirements

- Bachelor's degree in relevant field of study and 5+ years of relevant professional experience required, or equivalent combination of education and experience.

Job-Specific Minimum Requirements:

- Bachelor or master's degree from an accredited college or university in Computer Science, Information Technology, or a related field. Equivalent experience considered in lieu of degree

- Technical proficiencies include Terraform, Linux/Bash scripting, Github, and Jenkins.

- 8+ years of overall IT experience

- 5+ years of hands-on experience in a major cloud provider (Azure, AWS, Google, Oracle)

- 2+ years of hands-on AWS experience

- 3+ years of scripting/automation experience

- Working knowledge in scripting languages and automation tools (JSON, Python, Ansible, GitHub, CodeShuttle) with respect to managing deployment automation

- Advanced knowledge of infrastructure components (networking, load balancing, cloud services, orchestration tools, containerization, compute, and storage systems)

- Working knowledge of Windows and Unix based operating systems

- Familiarity with Splunk, AppDynamics or other monitoring tools

- Experience in a client facing production support environment

Preferred Skills and Qualifications:

- Cloud Certifications Desired (ranked by preference)

- AWS DevOps Engineer Professional
- AWS SysOps Admin - Associate
- AWS Solutions Architect - Associate or Professional
- AWS Developer - Associate
- SAFe Certifications Desired (not required)
- SAFe Practitioner
- SAFe DevOps Practitioner

#techjobs #veteranspage #C0reJobs

EEO Statement

Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.

Pay Transparency

Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.

Accommodations
Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at .

Minimum Salary

$

123,440.00

Maximum Salary

$

160,000.00

• Design, develop, test, and deploy full-stack web applications and services.
• Write clean, maintainable, and well-documented code in accordance with best practices.
• Collaborate closely with product managers, designers, and other engineers to define features and technical requirements.
• Lead code reviews, mentor junior engineers, and promote technical best practices across the team.
• Identify and address performance bottlenecks and optimize application efficiency.
• Contribute to architectural decisions and technology choices.
• Develop and maintain CI/CD pipelines for automated testing and deployment.
• Troubleshoot and resolve complex technical issues across the stack.
• Stay up-to-date with emerging technologies and industry trends.
• Champion a remote-first mindset, ensuring effective communication and collaboration within a distributed team.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 5+ years of professional software development experience.
• Proficiency in modern front-end frameworks (e.g., React, Angular, Vue.js).
• Strong experience with back-end languages and frameworks (e.g., Node.js, Python/Django/Flask, Java/Spring, Ruby on Rails).
• Deep understanding of database technologies (SQL and NoSQL), including design and optimization (e.g., PostgreSQL, MongoDB, Redis).
• Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Familiarity with microservices architecture and RESTful API design.
• Experience with agile development methodologies.
• Excellent problem-solving, debugging, and analytical skills.
• Strong communication skills and the ability to work effectively in a remote team environment.
• Proven ability to work independently and take ownership of projects.