Sr Pncpl Software Architect

22-Dec-2025

US Remote

10565BR

Company Summary

As the recognized global standard for project-based businesses, Deltek delivers software and information solutions to help organizations achieve their purpose. Our market leadership stems from the work of our diverse employees who are united by a passion for learning, growing and making a difference. At Deltek, we take immense pride in creating a balanced, values-driven environment, where every employee feels included and empowered to do their best work. Our employees put our core values into action daily, creating a one-of-a-kind culture that has been recognized globally. Thanks to our incredible team, Deltek has been named one of America's Best Midsize Employers by Forbes, a Best Place to Work by Glassdoor, a Top Workplace by The Washington Post and a Best Place to Work in Asia by World HRD Congress. www.deltek.com

Business Summary

The Deltek Engineering and Technology team builds best-in-class solutions to delight customers and meet their business needs. We are laser-focused on software design, development, innovation and quality. Our team of experts has the talent, skills and values to deliver products and services that are easy to use, reliable, sustainable and competitive. If you're looking for a safe environment where ideas are welcome, growth is supported and questions are encouraged - consider joining us as we explore the limitless opportunities of the software industry.

Position Responsibilities

Platform Engineering & Infrastructure

• Design and build the AI PaaS platform infrastructure on Oracle Cloud Infrastructure (OCI) including Kubernetes orchestration, service mesh architecture, and container management
• Establish platform engineering standards for infrastructure as code (Terraform), CI/CD pipelines, automated deployment, and environment management across dev/staging/production
• Architect API gateway and service mesh patterns for multi-product integration; design Model Context Protocol (MCP) APIs that enable Startpoint, VantagePoint, Costpoint, Ajera, and ComputerEase to consume AI services
• Build developer platform tools including SDKs, CLI tools, internal APIs, and documentation that enable product teams to integrate with AI PaaS efficiently
• Implement observability infrastructure using metrics (Prometheus/Grafana), distributed tracing (Jaeger/Zipkin), centralized logging (ELK stack), and alerting systems for platform health monitoring
• Design multi-tenancy architecture with secure data isolation, resource quotas, and tenant-specific configuration management
• Establish platform SLAs and reliability engineering practices including SLI/SLO definition, error budgets, chaos engineering, and disaster recovery procedures

• Define technical vision and architecture for the AI PaaS platform spanning ML infrastructure, data platform, and product integrations
• Lead cross-functional technical initiatives across ML engineering, data engineering, and product integration teams; drive consensus on architecture decisions
• Design distributed systems for AI model serving, real-time inference, batch processing, and agent orchestration at enterprise scale
• Architect security and compliance frameworks supporting FedRAMP, ITAR, CUI, and classified data requirements with proper encryption, access controls, and audit logging
• Drive engineering excellence by establishing code quality standards, architectural review processes, and technical best practices across the platform
• Evaluate and adopt emerging technologies including new AI frameworks, infrastructure tools, and cloud services; conduct POCs and make build-vs-buy decisions

• Partner with product engineering teams to design integration patterns between AI PaaS and Deltek products; ensure seamless consumption of AI services
• Mentor principal and senior engineers across the organization; provide technical guidance on platform architecture, distributed systems, and cloud-native development
• Collaborate with data science and ML teams to translate research models into production-grade platform services with proper APIs, monitoring, and SLAs
• Work with CTO office and engineering leadership to align platform strategy with business objectives; influence technical roadmap and investment decisions
• Champion non-functional requirements including performance, scalability, security, compliance, cost optimization, and operational excellence

Qualifications

Core Platform Engineering Experience

• 10-15 years of software engineering experience with 5+ years building platforms, infrastructure, or developer tools in principal/staff engineer roles
• Kubernetes expertise: Deep experience with Kubernetes at scale including custom operators, service mesh (Istio/Linkerd), ingress controllers, and cluster management
• Cloud infrastructure mastery: Extensive hands-on experience with OCI, AWS, Azure, or GCP including networking (VPCs, load balancers, CDN), compute (VMs, containers, serverless), storage, and managed services
• Infrastructure as Code: Expert-level Terraform, CloudFormation, or Pulumi; experience managing complex multi-environment infrastructure deployments
• CI/CD pipelines: Deep experience building continuous integration and deployment systems using Jenkins, GitLab CI, GitHub Actions, or ArgoCD; GitOps workflows

• Microservices architecture: Proven track record designing and implementing microservices platforms with proper service boundaries, API contracts, and inter-service communication
• API design excellence: Deep understanding of RESTful APIs, GraphQL, gRPC; experience designing developer-friendly APIs with proper versioning, documentation, and SDKs
• Event-driven architecture: Experience with Kafka, RabbitMQ, or similar messaging systems; understanding of event sourcing, CQRS, and asynchronous processing patterns
• Database architecture: Expertise in both SQL (PostgreSQL, Oracle) and NoSQL (MongoDB, Cassandra, Redis) databases; understanding of sharding, replication, and performance tuning
• Observability & monitoring: Experience building comprehensive monitoring solutions including metrics, logging, tracing, and alerting for distributed systems

• ML infrastructure experience: Understanding of ML model serving, batch and real-time inference, A/B testing infrastructure, and model monitoring (bonus: hands-on experience building ML platforms)
• Vector databases and search: Familiarity with Qdrant, Pinecone, Weaviate, or Elasticsearch for semantic search and RAG applications
• Agent orchestration frameworks: Knowledge of LangChain, AutoGen, or similar frameworks for building agentic AI systems (experience is a plus)

• Enterprise security: Deep knowledge of authentication/authorization (OAuth, SAML, JWT), encryption (at-rest and in-transit), secrets management, and zero-trust architectures
• Compliance frameworks: Experience with FedRAMP, SOC2, HIPAA, or similar regulatory requirements; understanding of audit trails, data residency, and compliance automation

• Technical leadership: Proven ability to influence technical direction across multiple teams; experience leading large-scale platform initiatives from concept to production
• Mentorship: Track record of developing senior engineers and principal engineers through technical guidance, code reviews, and architecture discussions
• Cross-functional collaboration: Excellent communication skills with both technical teams and business stakeholders; ability to translate business needs into technical solutions

• Multiple languages: Expert-level proficiency in at least 2-3 of: Python, Go, Java, Scala, Rust, or C++
• DevOps toolchain: Hands-on experience with Docker, Helm, Prometheus, Grafana, ELK stack, Jaeger/Zipkin, and modern cloud-native tooling
• Version control & collaboration: Expert Git workflows, code review practices, trunk-based development, and engineering process optimization

• Required: MS in Computer Science, Engineering, or related technical field
• Bonus: Cloud certifications (AWS Solutions Architect, Azure Solutions Architect, GCP Professional Architect, OCI Architect); CKA (Certified Kubernetes Administrator) or CKAD (Certified Kubernetes Application Developer)

Compensation Information

The U.S. salary range for this position is $98000.00 - $171500.00. This range is subject to change as Deltek takes a number of factors into consideration when determining individual base pay, such as location, job-related knowledge, skills and experience. Certain roles are eligible for additional rewards, including incentive compensation and equity.

Benefits and perks listed here may vary depending on the nature of employment with Deltek. Employees have access to healthcare benefits, a 401(k) plan and company match, paid vacation time and holidays, well-living programs, short-term and long-term disability coverage, basic life insurance and tuition reimbursement.

Travel Requirements

No

Compliance Requirements

Certain roles may have additional privacy, security and compliance requirements to the extent they support Costpoint GCCM or similar product offerings.

EEO Statement

Deltek, Inc. is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected veteran status.

E-Verify Statement

Deltek, Inc., utilizes the E-Verify program with every potential new hire. This makes it possible for us to make certain that every employee who works for Deltek is eligible to work in the United States. To learn more about E-Verify you can call 1-800-255-7688 or visit their website by clicking the logo below. E-Verify is a registered trademark of the United States Department of Homeland Security.

Applicant Privacy Notice

Deltek is committed to the protection and promotion of your privacy. In connection with your application for employment with us at Deltek, it is necessary for us to collect, store and use information about you ("Personal Data") to administer and evaluate your application. We are the "controller" of the Personal Data you provide us and will process any such Personal Data in accordance with applicable law and the statements contained in this Employment Candidate Privacy Notice. Additionally, we have not sold and do not sell Personal Data you provide to us through the job application process.