Deltek

SRE / Success Engineering role focused on production operations, reliability, AWS infrastructure, monitoring, incident management, and platform support for the ZT platform.

Core responsibilities include:

• Production monitoring and debugging of live systems.
• Incident investigation, troubleshooting, and problem resolution.
• AWS cloud infrastructure support and maintenance.
• Deployment and operational support activities.
• Supporting a 24x7 production environment.
• Working with GitHub-based development workflows.
• Technical debt remediation and platform improvements.
• Customer issue investigation and support.
• Security and compliance-related work, including FedRAMP initiatives.

Preferred Skills:

AWS (especially S3 and EC2)

Strong debugging and troubleshooting skills

Site Reliability Engineering (SRE) experience

GitHub experience

Basic software development skills

TypeScript/JavaScript knowledge

C# preferred

AI experience is a plus.

Candidate should be a hands-on engineer with strong AWS, SRE, operational ownership, production support, and debugging capabilities, rather than a pure application or full-stack developer.

Software Engineer

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:

• Collaborate with the development team to maintain, enhance, and scale the product for enterprise use.
• Design and develop scalable, high-performance solutions using cloud technologies and containerization.
• Contribute to all phases of the development lifecycle, following SOLID principles and best practices.
• Write well-designed, testable, and efficient code with a strong emphasis on Test-Driven Development (TDD), ensuring comprehensive unit, integration, and performance testing.
• Ensure software designs comply with specifications and security best practices.
• Contribute ideas to improve application maintainability and performance under the guidance of senior engineers.

AI-Specific Responsibilities:

• Integrate AI-powered tools and frameworks to enhance code quality and development efficiency.
• Utilize AI-driven analytics to identify performance bottlenecks and optimize system performance.
• Implement AI-based security measures to proactively detect and mitigate potential threats.
• Leverage AI for automated testing and continuous integration/continuous deployment (CI/CD) processes.
• Support the adoption and effective use of AI agents for automating repetitive development, deployment, and testing processes within the engineering team.

Qualifications :

• 2-3 years of software engineering experience, including at least 1 year of hands-on AI/ML experience.
• Proficient in Node.js and TypeScript/React development, with experience in React 18+, Hooks (useState, useEffect, useContext), and WebSocket clients.
• Strong full-stack development experience with modern web technologies.
• Experience with ASP.NET Core (C#) is good to have.
• Experience developing REST APIs.
• Proficiency in front-end technologies (JavaScript, HTML, CSS, Bootstrap, and UI frameworks).
• Strong knowledge of cloud platforms (AWS preferred), including scalability and enterprise cloud. 
• Experience with security best practices in web and API development.
• Experience with Test-Driven Development (TDD).
• Strong database experience, focused on query optimization 
• Strong analytical skills, problem-solving abilities, and curiosity to explore new technologies.
• Ability to communicate effectively, including explaining technical concepts to non-technical stakeholders.
• High commitment to continuous learning, innovation, and improvement.

AI-Specific Qualifications:

• Practical experience with prompt engineering and LLM response optimization
• Knowledge of AI-driven development tools and platforms such as Claude Code, GitHub Copilot in Agentic Mode.
• Knowledge of AI-based security protocols and threat detection systems.
• Experience integrating GenAI or Agentic AI agents into full-stack workflows (e.g., using AI for code reviews, automated bug fixes, or system monitoring).
• Demonstrated proficiency with AI-assisted development tools and prompt engineering for code generation, testing, or documentation.

Data Engineer

Data Lakehouse & Platform Engineering 

About the Role

We are hiring Data Engineer to own the lifecycle of our enterprise Data Lakehouse platform. We are looking for engineers who think in systems, make platform-level design decisions, and can build and operate a production-grade, multi-source lakehouse from the ground up, covering ingestion through consumption across a complex, multi-cloud source landscape.

You will be the technical authority for a platform that consolidates data from 18+ enterprise products (Costpoint, GovWin, Specpoint, Vantagepoint, and others) into a governed, medallion-architected data lake on AWS S3 with Apache Iceberg table format, orchestrated via AWS Step Functions, and queryable through AWS Athena and Trino. This role is end-to-end: you own ingestion, transformation, quality, orchestration, ML data supply, and BI consumption.

Key Responsibilities

•      Architect and evolve the full medallion lakehouse — Bronze, Silver, and Gold layers — on AWS S3 with Apache Iceberg; own schema design, partitioning, compaction, and retention policies.

•      Design and implement scalable Glue ETL (PySpark) pipelines for bronze_to_silver and silver_to_gold transformations, incorporating dbt for SQL-layer transformations where appropriate.

•      Own and extend CDC ingestion via Fivetran; manage schema evolution, connector health, and sync reliability across 18+ source products.

•      Build and maintain AWS Step Functions state machines and EventBridge schedules for end-to-end pipeline orchestration; implement Lambda-based quality and drift monitors.

•      Govern the Glue Catalog and Lake Formation policies; enforce column-level security, row-level access controls, and audit logging to meet SOC2 and regulatory requirements.

•      Architect the query layer — optimize Athena workgroups and partition pruning; plan and execute Trino-on-EKS deployment for sub-second analytics workloads.

•      Partner with data science teams on SageMaker data supply: feature engineering pipelines, training dataset preparation, and model registry integration.

•      Implement real-time and near-real-time streaming solutions using Kafka or Kinesis where sub-13-minute latency is required.

•      Lead platform modernization initiatives: evaluate emerging formats (Iceberg vs. Delta Lake vs. Hudi), tooling, and cost optimization strategies.

•      Establish and enforce data engineering best practices: code reviews, CI/CD for pipeline code, IaC (Terraform / CloudFormation), and incident response runbooks.

•      Mentor and level up junior and mid-level data engineers; define team standards for pipeline design, testing, and documentation.

Required Qualifications

•      Software or data engineering experience, with at least 4 years in an architect or technical lead capacity designing large-scale cloud data platforms.

•      Deep, hands-on expertise with AWS data services: S3, Glue (PySpark ETL), Athena, Step Functions, Lambda, EventBridge, Lake Formation, SageMaker, and CloudWatch.

•      Production experience with Apache Iceberg (or Delta Lake / Hudi) table formats — compaction, snapshot management, schema evolution, and time travel.

•      Strong PySpark and Python skills; ability to write, review, and optimize distributed data processing jobs at scale.

•      Hands-on experience with CDC-based ingestion platforms (Fivetran, Debezium, or equivalent) across heterogeneous source systems.

•      Proven experience designing and implementing medallion (Bronze/Silver/Gold) or equivalent multi-hop lakehouse architectures.

•      Experience with data pipeline orchestration: AWS Step Functions, Apache Airflow, or equivalent; event-driven pipeline design patterns.

•      Strong SQL skills; experience with Athena, Trino, Presto, or equivalent query engines for large-scale analytical workloads.

•      Familiarity with data governance tooling: catalog management (Glue Catalog, Apache Polaris/Iceberg REST), data lineage, access controls, and audit frameworks.

•      Experience with Infrastructure as Code (Terraform or CloudFormation) for data platform provisioning and drift management.

•      Solid understanding of dimensional modeling, schema design (star/snowflake), and data normalization for BI and analytics workloads.

•      Bachelor's degree in Computer Science, Engineering, or a related field; or equivalent professional experience.

Preferred Qualifications

•      Experience operating Trino or PrestoDB on Kubernetes (EKS); tuning for sub-second query latency and multi-tenant workloads.

•      Familiarity with streaming platforms (Kafka, Kinesis, or Pub/Sub) and real-time lakehouse patterns.

•      Experience with Apache Polaris or other Iceberg REST catalog implementations.

•      Exposure to SageMaker MLOps pipelines, Model Registry, and feature store patterns for ML data supply.

•      Experience with dbt (data build tool) for SQL-layer transformation and documentation in lakehouse environments.

•      Government contracting or ERP domain knowledge (Costpoint, Deltek, Oracle, or similar enterprise platforms) is a strong plus.

•      AWS certifications: Data Engineer Associate, Solutions Architect Professional, or equivalent.

What You Will Build

You will be a founding architect of a strategic, cross-product data platform that serves 18+ enterprise applications and their analytics, ML, and AI workloads. The decisions you make on schema, storage format, query layer, governance, and orchestration will shape the data foundation of the company for years. This is a high-impact, high-ownership role with direct visibility to senior leadership.

Principal Software Engineer

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

Position Responsibilities :

About the Role 

We are seeking a highly motivated AI Solutions Engineer to join Deltek’s growing AI Center of Excellence team to design, develop, deploy, and optimize internal Artificial Intelligence and Machine Learning solutions that solve complex business challenges. The ideal candidate combines deep expertise in AI, machine learning, Generative AI, Large Language Models (LLMs), SLMs, software engineering, cloud computing, and MLOps/LLMOps to build scalable, production-grade AI applications. 

The AI Solutions Engineer will collaborate with AI data scientists, architects, and engineering teams to deliver innovative AI-driven solutions while ensuring security, scalability, governance, and operational excellence. This role reports to the Senior AI Solutions Architect. 

Key Responsibilities 

AI & Machine Learning Development 

• Design, build, train, evaluate, and deploy machine learning and deep learning models. 
• Develop Generative AI solutions using Large Language Models (LLMs) such as GPT, Claude, Gemini, Llama, and Mistral. 
• Implement Retrieval-Augmented Generation (RAG), prompt engineering, fine-tuning, and AI agent frameworks. 
• Build NLP, recommendation systems, forecasting, predictive analytics, and intelligent automation solutions. 
• Optimize model performance, scalability, latency, and cost. 

Software Engineering & Solution Development 

• Develop production-grade AI applications using Python and modern software engineering practices. 
• Build APIs, microservices, and AI-powered enterprise applications. 
• Integrate AI services with enterprise systems, business applications, and data platforms. 
• Apply coding standards, automated testing, CI/CD, and version control best practices. 

MLOps & AI Operations 

• Design and implement MLOps pipelines for model development, deployment, monitoring, and lifecycle management. 
• Automate model training, validation, testing, and deployment processes. 
• Monitor model performance, data drift, hallucinations, and operational metrics. 
• Support continuous improvement and reliability of AI platforms. 

Cloud & Platform Engineering 

• Develop AI solutions on Azure, AWS, or Google Cloud platforms. 
• Leverage cloud-native AI services, containerization, Kubernetes, and serverless technologies. 
• Build scalable architectures supporting enterprise AI workloads and real-time inference. 

AI Governance & Security 

• Ensure compliance with Responsible AI, security, privacy, and regulatory requirements. 
• Implement model governance, explainability, bias mitigation, and risk management practices. 
• Maintain standards for secure design, deployment, and operation of AI solutions. 

Required Qualifications 

Education 

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related technical field. 

Experience 

• 5+ years of software engineering or machine learning development experience. 
• 2+ years of hands-on experience developing and deploying Agentic AI, Generative AI or AI/ML solutions in production environments. 

Technical Skills 

Programming & Engineering 

• Strong expertise in Python. 
• Experience with Java, ReactJS, JavaScript, or similar programming languages. 
• Solid understanding of algorithms, data structures, APIs, and software design principles. 

Artificial Intelligence & Machine Learning 

• Machine Learning and Deep Learning concepts and frameworks. 
• Model training, evaluation, optimization, and deployment. 

Generative AI 

• Large Language Models (LLMs) & SLMs 
• Prompt Engineering 
• Retrieval-Augmented Generation (RAG) 
• AI Agents and Agentic Workflows 
• Fine-tuning and model customization 
• Vector embeddings and semantic search 

Frameworks & Tools 

• PyTorch, TensorFlow, Scikit-learn 
• LangChain, LlamaIndex, Semantic Kernel, MCP, A2A and Transformers 
• FastAPI, Flask 

Data & Analytics 

• SQL and NoSQL databases 
• Data pipelines, ETL, and data modeling 
• Experience with AWS, Azure and Google 

MLOps & DevOps 

• MLflow, Kubeflow, Azure ML, SageMaker 
• Docker and Kubernetes 
• Git, GitHub, Azure DevOps, Jenkins 
• CI/CD automation and model monitoring 

Cloud Platforms 

• AWS (preferred) 
• AWS Bedrock or Azure OpenAI Service 
• AWS SageMaker 
• Google Vertex AI 

Preferred Qualifications 

• Experience designing enterprise-scale AI platforms and products.  
• Knowledge of multi-agent architectures and autonomous AI systems.  
• Experience with vector databases such as Pinecone, Snowflake Cortex, Pgvector, Weaviate, Chroma, or Azure AI Search.  
• Understanding of AI governance, compliance, and Responsible AI frameworks.  
• Relevant certifications in Azure AI, AWS Machine Learning, or Google Cloud AI.

Support Services Analyst

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 :

Deltek’s award winning Support Services team provides best-in-class assistance to Deltek’s customers across the world via phone, chat and email. Our team is comprised of a group of diverse, collaborative and passionate professionals who come from varying industries, backgrounds and professions. Our diversity and passion is our strength, so however you identify and whatever background you bring, we invite you to explore our team as a potential next step in your career!

Position Responsibilities :

• Provide exceptional support to customers via phone, chat, and email, addressing inquiries and resolving issues efficiently.
• Collaborate with internal teams, including product engineering and management, to resolve complex cases.
• Research and troubleshoot customer questions, ensuring accurate and timely solutions.
• Maintain detailed records of customer interactions and case resolutions.
• Share knowledge and best practices with team members to foster a collaborative environment.
• Strive to exceed customer expectations by delivering world-class service.
• Continuously develop product and industry knowledge to enhance support capabilities.

Does this position require a degree? :

Yes - The position has a strict, non-negotiable degree requirement. Equivalent experience is NOT permitted, and ALL applicants without the listed required degree WILL be disqualified.

Qualifications :

• Bachelor’s degree is mandatory from a recognized university.
• Excellent time management and organizational skills.
• Strong listening and communication skills, both oral and written.
• Demonstrated ability to problem solve and troubleshoot customer issues.
• Self-motivated and proactive team player with a collaborative mindset.
• Desire to provide outstanding customer service and exceed expectations.
• Work experience in accounting/finance or a related college degree.

Preferred Qualifications:

• Prior customer service experience of 2+ years.
• Experience supporting accounting or finance software products or Accounting degree.
• Ability to adapt quickly to new technologies and processes.

Position Responsibilities :

Job Description

We are seeking a highly motivated c to join our Infrastructure team. This is a hands-on role for someone who enjoys day-to-day infrastructure operations (servers, storage, tickets) and is passionate about transforming manual processes into intelligent, automated workflows using GenAI and modern automation platforms.

The ideal candidate has a strong engineering and scripting background, thrives in collaborative environments, and is excited to work closely with infrastructure engineers and team leads to understand how work gets done today—and then automate it.

This role blends traditional infrastructure operations with next‑generation automation, making it ideal for someone who wants to shape the future of infrastructure operations using platforms such as Power Platform, Tines, and GenAI tools (e.g., Claude).

Key Responsibilities

Infrastructure Operations (Core)

• Perform day-to-day infrastructure operations, including:
• Server provisioning and builds (Windows/Linux)
• Storage administration and lifecycle tasks
• Incident, request, and problem tickets via ITSM platforms
• Support operational hygiene such as patching, compliance checks, renewals, and standard infra maintenance
• Participate in on-call rotations and operational escalations as required

Automation & GenAI Enablement (Primary Focus)

• Identify repetitive, manual, or error-prone infrastructure processes and automate them end-to-end
• Work directly with infrastructure engineers, SMEs, and team leads to:
• Understand current-state processes
• Map workflows and decision points
• Translate them into automated and AI-assisted solutions
• Design and build automation using:
• Microsoft Power Platform (Power Automate, Logic Apps, Copilot Studio)
• Tines for event-driven and security/infrastructure workflows
• GenAI tools (e.g., Claude, Copilot) for decision support, ticket enrichment, summarization, and remediation logic
• Integrate automation with infrastructure and ITSM tools (ServiceNow, scripting engines, APIs, schedulers)

Engineering & Scripting

• Develop and maintain scripts and automation using:
• PowerShell (primary)
• Python, Bash, or similar languages (as applicable)
• Build reusable automation components, libraries, and templates
• Implement guardrails, logging, error handling, and rollback mechanisms
• Create documentation, runbooks, and knowledge articles for automated workflows

Collaboration & Continuous Improvement

• Partner with cross-functional teams (server, storage, network, security, endpoint) to standardize and automate shared workflows
• Continuously look for opportunities to apply AI for:
• Ticket triage and enrichment
• Root cause analysis
• Compliance drift detection
• Infrastructure lifecycle insights
• Track and communicate automation outcomes (time saved, risk reduced, ticket volume decreased)

Required Qualifications

• 5+ years of experience in infrastructure operations (servers, storage, virtualization, or cloud)
• Strong scripting and automation skills (PowerShell required; Python preferred)
• Hands-on experience with infrastructure workflows such as provisioning, patching, compliance, and lifecycle management
• Demonstrated ability to analyze processes and convert them into automated solutions
• Experience working directly with engineers and technical stakeholders to improve operational processes
• Comfort using APIs, webhooks, and integrating multiple systems

Preferred Qualifications

• Experience with Power Platform, Logic Apps, or similar low-code automation tools
• Experience with Tines or comparable orchestration platforms
• Hands-on exposure to GenAI tools (Claude, Copilot, or equivalent) for operational automation or engineering productivity
• Familiarity with ITSM tools (ServiceNow preferred)
• Experience in hybrid environments (on‑prem + cloud)
• Strong documentation and communication skills

What Success Looks Like

• Manual infrastructure tasks are replaced with reliable, observable automation
• Engineers spend less time on repetitive work and more time on high-value engineering
• Incidents and tickets are enriched, routed, or resolved faster through AI-assisted workflows
• Infrastructure processes are consistent, scalable, and easier to operate

Deltek is looking for highly motivated and energetic teammates to join our growing organization. The team’s collaborative and dynamic culture celebrates and promotes success. You will focus on generating revenue through pipeline development, fostering relationships, and analyzing customer needs to uncover business challenges. You will learn the business, the industry, and how to sell, all in an agile environment. 

As an Associate SDR at Deltek, you attend a thorough onboarding program complete with mentorship guidance to learn about Deltek's product portfolio, our customers, their business challenges, and our sales process. You will develop robust sales skills along with a variety of techniques and tactics that will help you build direct value for your clients. 

As an Associate SDR, you will: 

• Identify new sales leads, understand customer pains & needs, position solutions and build collaborative relationships. 
• Phone and email prospecting focused on establishing a strong rapport with potential clients with the aim to set up qualified meetings with our field sales team. 
• Discover the prospect’s buying stage and work with them accordingly. 
• Research and build intelligence on organizations and contacts online/offline to identify new leads and potential new markets. 
• Collaborate with the sales and marketing team to prioritize efforts, refine selling strategies, share results and plan next steps. 
• Participate in sales onboarding, 1:1 training sessions, team meetings, skill building and professional development courses. 
• Exceed weekly/monthly goals for meetings, pipeline and activity. 
• Capture accurate and complete information in Deltek’s sales tools. 

Qualifications 

• MBA preferred. Four-year university degree required. 
• Strong oral and written communication skills to present, assert and speak with all the stakeholders involved. Must be able to engage prospects over the phone with a high degree of confidence. 
• Strong ability to collaborate with internal and external customers to build lasting relationships, influence positive first impressions, and manage conflicts. 
• Strong research and account/market analysis skills. 
• Dependable, passionate and a desire to pursue a career in sales . 
• Ability to accelerate in a spirited, rewarding atmosphere. 

Sr Support Services Analyst

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 :

Deltek’s award winning Support Services team provides best-in-class assistance to Deltek’s customers across the world via phone, chat and email. Our team is comprised of a group of diverse, collaborative and passionate professionals who come from varying industries, backgrounds and professions. Our diversity and passion is our strength, so however you identify and whatever background you bring, we invite you to explore our team as a potential next step in your career!

External Job Title :

Sr Support Services Analyst

Position Responsibilities :

Position Overview: We are seeking a dynamic and knowledgeable Support Services Analyst to join our team. This individual will play a crucial role in providing in-depth troubleshooting and support to our clients using Deltek Vantagepoint. The ideal candidate will have advanced accounting knowledge and experience with one of Deltek's Professional Services ERP solutions (Ajera, ComputerEase, Vantagepoint, Vision) is a plus. 

Key Responsibilities: 

• Provide expert-level support to clients using Deltek Vantagepoint, addressing complex issues and customizing workflows. 
• Utilize advanced accounting knowledge to assist clients with their inquiries and troubleshooting needs. 
• Collaborate with clients, engineers, product managers, and senior staff to resolve issues efficiently. 
• Document all client interactions and solutions in our case tracking system. 
• Participate in ongoing training to stay updated with the latest features and best practices of Deltek Vantagepoint. 
• Mentor and assist junior analysts with inquiries and case resolutions. 
• Leverage AI tools to enhance support efficiency and effectiveness. 

Qualifications :

• 4+ years of experience in a support role, preferably with Deltek Vantagepoint or other Deltek ERP solutions. 
• Advanced knowledge of accounting principles and practices. 
• Strong problem-solving and troubleshooting skills. 
• Excellent communication skills, both written and verbal. 
• Ability to work effectively in a remote, collaborative team environment. 
• Experience with AI tools and technology is a plus. 
• A proactive and positive attitude, with a willingness to learn and grow within the organization.