Deltek, Inc.
Sr Principal Platform Engineer
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
Technical Architecture & Leadership
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
Collaboration & Strategic Impact
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
Distributed Systems & Architecture
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
AI/ML Platform Knowledge
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)
Security, Compliance & Operational Excellence
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
Leadership & Communication
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
Programming & Tools
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
Education & Certifications
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 $98,000.00 - $171,500.00. 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.
#J-18808-Ljbffr
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
Technical Architecture & Leadership
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
Collaboration & Strategic Impact
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
Distributed Systems & Architecture
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
AI/ML Platform Knowledge
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)
Security, Compliance & Operational Excellence
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
Leadership & Communication
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
Programming & Tools
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
Education & Certifications
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 $98,000.00 - $171,500.00. 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.
#J-18808-Ljbffr