Analytics Sr Software Engineer (US Federal)
TalentAlly · McLean, VA
- On site
- Full-time
- $227,300 / year
- McLean, VA
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Subject: Interested in the Analytics Sr Software Engineer (US Federal) role at TalentAlly
Hi Alex — I came across the Analytics Sr Software Engineer (US Federal) opening and wanted to reach out directly. I've spent the last few years doing exactly this kind of work, and TalentAlly stood out because…
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Job highlights
- Build scalable, reliable, automated services framework.
- Enhance monitoring, alerting, and tracing systems.
- Design and implement Kubernetes platform solutions.
- Automate infrastructure provisioning and deployments.
- Support U.S. federal agencies with analytics.
About the role
About TalentAlly and Workday Government
At TalentAlly, we are obsessed with making hard work pay off for our people, customers, and the world. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we are shaping the future of work. Our culture is rooted in integrity, empathy, and shared enthusiasm. We seek curious minds and courageous collaborators who bring optimism and drive. You will do meaningful work with colleagues who have your back, and in return, we offer trust, tools for growth, skills development, and long-term investment.
About The Team
The Workday Government team focuses on serving U.S. federal agencies in their modernization and transformation of employee lifecycle and finance operations. We bring modern technology, responsible AI, and secure infrastructure to complex environments. This is high-impact, operational work that demands rigor, integrity, and long-term thinking. You will join a team that values collaboration, follow-through, and doing the right thing, especially when stakes are high. Our culture is grounded in integrity, respect, and shared responsibility, where curiosity is matched with accountability and ambition with trust. You will have the space to do your best work, support for continued growth, and the backing of a company committed to long-term investment in its people and the federal mission.
About The Role
This role supports U.S. Federal Government contracts and requires all personnel to be United States citizens. You will be a key contributor on the Analytics Delivery Engineering team, focusing on building a clean, scalable, reliable, and automated services framework as a Site Reliability Engineer (SRE).
What You Will Do
- Work on projects to build robust CI/CD and automation for the Prism engineering and SRE teams.
- Enhance and improve monitoring, alerting, and tracing for internal and production services.
- Collaborate with the SRE team to set technical direction while ensuring requirements are met.
- Enhance, build, secure, and maintain environments for Prism Analytics in Workday Federal deployments.
- Interact with multiple teams within Workday Prism Analytics.
- Participate in and facilitate production on-call duties and events to ensure application reliability and deliver Workday Analytics to GovCloud.
Responsibilities
- Design and implement: Develop solutions for our Kubernetes platform, including infrastructure automation, CI/CD pipelines, and observability tools.
- Build and maintain: Construct and maintain core platform components, ensuring high availability, scalability, and security.
- Automate and optimize: Automate infrastructure provisioning, configuration management, and application deployments using tools like Terraform and Argo CD.
- Troubleshooting and support: Provide support and troubleshooting for platform-related issues, collaborating with development teams.
- Security and compliance: Implement and maintain security best practices, ensuring compliance with industry standards.
- Documentation and knowledge sharing: Create comprehensive documentation and actively participate in team knowledge sharing.
- Collaboration: Work effectively with engineers, development teams, and stakeholders across different locations and time zones.
- Stay current: Keep up-to-date with the latest technologies and trends in platform engineering.
About You
This role may require a security clearance up to TS/SCI w/CI Poly. Applicants must be able to obtain and maintain a U.S. government issued security clearance. An active TS/SCI w/CI Poly is preferred.
Basic Qualifications
- 5+ years of hands-on experience with infrastructure (on-premises or cloud), understanding systems architecture, networking, and security.
- Strong understanding of Kubernetes concepts, architecture, and administration.
- Bachelor's degree in a computer-related field or equivalent work experience.
Other Qualifications
- Preferred DoD 8570/8140 compliant with at least IAT Level II certification (e.g., CompTIA CySA+, GICSP, CASP+).
- Infrastructure as code: Proficiency with automation tools like Terraform.
- CI/CD: Experience building or maintaining CI/CD pipelines and tools like Argo CD.
- Cloud experience: 3+ years working with AWS services in a production setting.
- Programming skills: Proficiency in GoLang or Python.
- Problem-solving: Strong analytical and problem-solving skills.
- Communication: Excellent communication and collaboration skills.
Nice To Haves
- Experience with monitoring and observability tools (Prometheus, Grafana).
- Experience with security auditing and compliance frameworks.
- Experience with Apache Spark, Docker, Kubernetes.
Key skills/competency
- Site Reliability Engineering (SRE)
- Kubernetes
- CI/CD
- Infrastructure as Code (IaC)
- AWS Cloud Services
- Python/GoLang
- Monitoring and Alerting
- System Architecture
- Security Best Practices
- Problem-Solving
Skills & topics
- Analytics Software Engineer
- Site Reliability Engineer
- Kubernetes
- CI/CD
- Infrastructure as Code
- AWS
- GoLang
- Python
- Federal Government
- US Citizen
How to get hired
- Tailor your resume: Highlight experience with Kubernetes, CI/CD, AWS, and IaC relevant to the Analytics Sr Software Engineer role.
- Showcase federal experience: Emphasize any background with U.S. federal contracts, security clearances, and compliance.
- Prepare for technical questions: Be ready to discuss your experience with Terraform, Argo CD, GoLang, Python, and system architecture.
- Demonstrate collaboration skills: Prepare examples of working with cross-functional teams and stakeholders in complex environments.
- Understand Workday's mission: Research Workday's commitment to AI, federal modernization, and their company culture.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the citizenship requirements for the Analytics Sr Software Engineer role at TalentAlly?
- Due to federal government security requirements, all Workday personnel working on these contracts must be United States citizens (naturalized or native). You will need to be a U.S. citizen to be considered for this role.
- Does the Analytics Sr Software Engineer position require a security clearance?
- Yes, this role may require a security clearance up to TS/SCI w/CI Poly. Applicants must be able to obtain and maintain a U.S. government-issued security clearance. An active TS/SCI w/CI Poly is preferred.
- What are the primary technologies used by the Analytics Delivery Engineering team at TalentAlly?
- The team focuses on building scalable, reliable, and automated services, heavily utilizing Kubernetes. Responsibilities include infrastructure automation, CI/CD pipelines (Argo CD), infrastructure as code (Terraform), and cloud services, particularly AWS. Proficiency in GoLang or Python is also important.
- What kind of work environment can I expect as an Analytics Sr Software Engineer at TalentAlly?
- You can expect a culture rooted in integrity, empathy, and shared enthusiasm. The Workday Government team focuses on high-impact, mission-driven work supporting U.S. federal agencies. Collaboration, continuous learning, and long-term investment in employees are key aspects of the environment.
- What is the expected salary range for the Analytics Sr Software Engineer role?
- The primary location base pay range for this role is $151,500 - $227,300 USD. Additional US locations have a base pay range of $137,100 - $243,600 USD. Compensation can vary based on factors like geography, experience, and skills.
- What does 'Flex Work' mean at TalentAlly for this Analytics Sr Software Engineer position?
- Flex Work at TalentAlly combines in-person and remote work. Employees are expected to spend at least 50% of their time each quarter in the office or field. This approach allows for flexibility while ensuring intentional time spent together for collaboration and connection.
- What are the preferred certifications for the Analytics Sr Software Engineer role?
- It is preferred that candidates are DoD 8570/8140 compliant with at least IAT Level II certification, including a current Computing Environment (CE) credential and one approved specialty certification (e.g., CompTIA CySA+, GICSP, CASP+).
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