Technical Project Manager

Job Title: Principal Automation Engineer (AI)

Deltek is seeking a Principal Automation Engineer with deep expertise in AI-native test automation to help shape the quality engineering foundation Deltek’s next-generation, AI-first ERP platform for project-based businesses. This is not a role for someone who automates feature regression. It is a role for someone who can harness AI tools to build intelligent automation frameworks that reason, adapt, and self-heal.

You will be the automation architect behind Deltek’s in-house AI-native test automation platform combining Playwright with LLM-powered agents (Planner, Generator, Healer). You will extend, evolve, and industrialize this framework, integrating AI tools at every layer: test generation, self-healing selectors, LLM-as-a-Judge evaluation, and CI/CD-gated quality pipelines.

If you are fluent in Playwright, agentic AI workflows, and modern test engineering — and want to build something genuinely new rather than maintain legacy frameworks — we invite you to join our team. ERP domain knowledge is a strong plus and will accelerate your impact.

Responsibilities:

Architect and evolve the AI-native automation framework — extending Playwright-based agents with LLM-powered planning, test generation, and self-healing capabilities.

Use AI tools extensively (Claude, GitHub Copilot, LLM APIs) to design, generate, and augment automation suites — reducing human authoring effort while increasing scenario coverage.

Build and maintain Playwright agent pipelines for end-to-end workflow automation across Deltek’s Projects, Workforce Management, and Financials modules.

Integrate LLM-as-a-Judge (LLMaaJ) evaluation into the test pipeline to automatically score AI-generated outputs, detect hallucinations, and validate response quality against golden datasets.

Design and implement AI safety and correctness test cases: hallucination detection, bias testing, output guardrail validation, and behavioral consistency across edge cases.

Own the CI/CD automation pipeline (GitHub Actions / Azure DevOps) for AI-enabled releases — including regression gates, model-response validation, and automated quality dashboards in ReportPortal and Grafana.

Validate AI/ML outputs including prediction accuracy, recommendation relevance, natural-language responses, and inference API payloads.

Build and maintain golden datasets for AI drift detection, regression baselines, and LLM evaluation benchmarks.

Collaborate with Product Managers, AI/ML Engineers, and QE leads to define AI feature release quality gates and automation coverage targets.

Mentor QE team members on AI-assisted automation patterns, agentic testing concepts, and framework best practices.

Contribute to test strategy for data migration validation of schema fidelity and record correctness.

Qualifications:

BS/MS degree in Computer Science, Software Engineering, or a related field.

Relevant certifications in software quality, AI/ML, or cloud engineering are advantageous.

Experience:

8+ years of experience in test automation engineering, with at least 3+ years working with AI/LLM-based systems or agentic automation frameworks.

Proven hands-on experience with Playwright — including Playwright agents, fixtures, and API testing integration.

Demonstrated experience using AI tools (Claude API, OpenAI, GitHub Copilot, or equivalent) to accelerate test authoring, framework design, or output evaluation.

Track record of designing and implementing AI-based automation solutions — not just using automation tools, but building the frameworks others use.

Experience integrating automation into CI/CD pipelines (GitHub Actions, Jenkins, or Azure DevOps).

Experience with performance, scalability, or data-drift testing of AI features in production or pre-production ERP contexts.

ERP domain knowledge (Project Accounting, Financials, Payroll, Time & Expense) is a strong plus and will significantly accelerate onboarding and impact.

Good-to-Have Skills:

Familiarity with Ajera, Costpoint, Vantagepoint, or comparable project-based ERP systems.

Understanding of LLM fine-tuning, RAG pipelines, vector databases, and embeddings from a QA/validation perspective.

Experience building or working with self-healing automation frameworks or AIOps tooling.

Exposure to security testing for AI systems — prompt injection, output sanitization, guardrail bypass testing.

Familiarity with data privacy and compliance frameworks in AI-enabled enterprise software.

Technical Qualifications:

Deep, hands-on proficiency with Playwright — including agentic patterns, multi-step workflow automation, and integration with LLM backends.

Proficiency in TypeScript and/or Python for building automation frameworks, AI evaluation utilities, prompt-testing harnesses, and data-driven test pipelines.

Strong understanding of LLM/ML concepts from a QA perspective: prompt engineering, hallucination detection, output scoring, explainability validation, behavioral consistency testing.

Experience with REST and GraphQL API testing, including automated evaluation of LLM inference API payloads and AI-generated JSON responses.

Familiarity with ReportPortal, Grafana, or equivalent for test execution dashboards and quality metric visualization.

Strong SQL skills for data validation, training dataset verification, and ERP data pipeline testing.

Working knowledge of GitHub Actions and Azure DevOps (ADO/TFS) for CI/CD pipeline integration and issue tracking.

Good understanding of Agile/Scrum practices and AI model release cycles — shadow mode, A/B comparison, phased rollout validation.

Soft Skills:

Framework-builder mindset: thinks in systems, not scripts — builds what others use rather than executing what others built.

Strong communication skills: able to explain AI validation concepts clearly to engineers, product managers, and QE team members.

High ownership and self-direction: identifies automation gaps proactively and drives coverage improvements without waiting to be asked.

Collaborative and generous with knowledge: invests in mentoring team members and raising the team’s automation maturity.

Continuous learner: actively tracks the evolving AI tooling ecosystem and brings new techniques into the framework.

Able to manage multiple priorities in a fast-paced, distributed team environment.

Join Deltek and be at the forefront of how modern ERP quality engineering is done. You will help build the AI driven current automation framework into an industry-leading AI-native automation platform — combining Playwright agents, LLM-powered test generation, self-healing infrastructure, and intelligent quality gates.

JD Code: SHI-LDE-01 

Version#: 1.0 

Date of JD Creation: 27-March-2023 

Position Title: Lead Data Engineer 

Reporting to: Technical Director 

Location: Bangalore Urban, India (on-site) 

SmartHub.ai (www.smarthub.ai) is a fast-growing Startup headquartered in Palo Alto, CA, and with offices in Seattle and Bangalore. We operate at the intersection of AI, IoT & Edge Computing. With strategic investments from leaders in infrastructure & data management, SmartHub.ai is redefining the Edge IoT space. Our “Software Defined Edge” products help enterprises rapidly accelerate their Edge Infrastructure Management & Intelligence. We empower enterprises to leverage their Edge environment to increase revenue, efficiency of operations, manage safety and digital risks by using Edge and AI technologies. 

SmartHub is an equal opportunity employer and will always be committed to nurture a workplace culture that supports, inspires and respects all individuals, encourages employees to bring their best selves to work, laugh and share. We seek builders who hail from a variety of backgrounds, perspectives and skills to join our team.  

Summary 

This role requires the candidate to translate business and product requirements to build, maintain, optimize data systems which can be relational or non-relational in nature. The candidate is expected to tune and analyse the data including from a short and long-term trend analysis and reporting, AI/ML uses cases. 

We are looking for a talented technical professional with at least 8 years of proven experience in owning, architecting, designing, operating and optimising databases that are used for large scale analytics and reports. 

Responsibilities 

• Provide technical & architectural leadership for the next generation of product development. 
• Innovate, Research & Evaluate new technologies and tools for a quality output. 
• Architect, Design and Implement ensuring scalability, performance and security. 
• Code and implement new algorithms to solve complex problems. 
• Analyze complex data, develop, optimize and transform large data sets both structured and unstructured. 
• Ability to deploy and administrator the database and continuously tuning for performance especially container orchestration stacks such as Kubernetes  
• Develop analytical models and solutions Mentor Junior members technically in Architecture, Designing and robust Coding. 
• Work in an Agile development environment while continuously evaluating and improvising engineering processes 

Required 

• At least 8 years of experience with significant depth in designing and building scalable distributed database systems for enterprise class products, experience of working in product development companies. 
• Should have been feature/component lead for several complex features involving large datasets. 
• Strong background in relational and non-relational database like Postgres, MongoDB, Hadoop etl. 
• Deep exp database optimization, tuning ertise in SQL, Time Series Databases, Apache Drill, HDFS, Spark are good to have 
• Excellent analytical and problem-solving skill sets. 
• Experience in  for high throughput is highly desirable 
• Exposure to database provisioning in Kubernetes/non-Kubernetes environments, configuration and tuning in a highly available mode. 
• Demonstrated ability to provide technical leadership and mentoring to the team 

1. Work across the entire landscape that spans network, compute, storage, databases, applications, and business domain
2. Use the Big Data and AI-driven features of vuSmartMaps to provide solutions that will enable customers to improve the end-user experience for their applications
3. Create detailed designs, solutions and validate with internal engineering and customer teams, and establish a good network of relationships with customers and experts
4. Understand the application architecture and transaction-level workflow to identify touchpoints and metrics to be monitored and analyzed
5. Analytics and analysis of data and provide insights and recommendations
6. Constantly stay ahead in communicating with customers. Manage planning and execution of platform implementation at customer sites.
7. Work with the product team in developing new features, identifying solution gaps, etc.​
8. Interest and aptitude in learning new technologies - Big Data, no SQL databases, Elastic Search, Mongo DB, DevOps.​

1. At least 2+ years of experience in IT Infrastructure Management
2. Experience in working with large-scale IT infra, including applications, databases, and networks.​
3. Experience in working with monitoring tools, automation tools
4. Hands-on experience in Linux and scripting.
5. Knowledge/Experience in the following technologies will be an added plus:​ ​ElasticSearch, Kafka, Docker Containers, MongoDB, Big Data, SQL databases, ELK stack, REST APIs, web services, and JMX.

• Design, develop, implement and maintain our core Oracle applications.
• Maintain our SQL / PLSQL processes.
• Ensure DB availability.
• Proactively manage and maintain security standards and controls by creating storage database structures with high-level security features.
• Actively seek to optimise and simplify our architecture.
• Take ownership of performance and capacity monitoring aspects of the DB.
• Execution of data migration jobs and scripts as required.
• Assist the infrastructure team in sizing hardware used for the DB.
• Support and collaborate with product developers.
• Contribute to the creation and maintenance of disaster recovery plans.
• Work closely with the application vendors, co-ordinate and manage the DBA activities.
• Own and follow up with Vendors/Stakeholders & their DBAs when required.
• Create a reliable backup strategy. Ensure database backups are appropriately
• executed and periodic restorations are exercised to ensure backup quality.
• Determine and document DB policies, procedures and standards.
• Performance testing and evaluation to ensure data security, privacy and integrity.
• Identification of bottle necks and deadlock issues.
• Ensure SLA's & operational KPI’s are met, working as necessary with internal and external support functions when major incidents occur.
• Install upgrades and security patches.
• Alter storage structures to meet the evolving needs of the company.
• Set up database user accounts.
• Train users on how to access the information in the database.
• Find and debug malfunctioning programs affecting the database integrity.
• Create autonomous database backups.
• Regularly update the database security protocols.

Desired Skills:

• Ideally Oracle Certified DB Professional (OCP) with more than 5 years’ experience with Oracle, preferably in a lead role.
• Technical degree preferable (B.E. / B. Tech).
• Must experience with an organisation that has 24x7 reliability on its database.
• Must have experience with Oracle Exadata.
• Must Operating system experience in Linux.
• Must hands on knowledge of Shell scripting on Linux Platform
• Must hands on knowledge of Oracle management tools (Data Guard, RMAN).
• Must hands on knowledge of SQL / PLSQL.
• Experience should include DB design (modelling and normalisation), capacity planning, performance tuning, storage management, back-up and recovery, managing schemas, report generation and DB clustering technologies.
• Knowledge of Partitioning.
• Knowledge of architecture design principles.
• Good problem solver, focused and dedicated developer with ability to work on
• your own as well as with a team.
• Hands on experience with DB standards and end user applications-translating
• capacity requirements into infrastructure deployment technology.
• Strong practical experience of ORACLE in a production environment (Ver 19c).
• Must be a self-starter with a strong attention to detail.

Should be able to take responsibility and work independently.

- Professional experience with C#, .NET & OOPS

- Skill for writing reusable C# libraries

Tech9 India is looking for Software Developers to join our team.  We have mid level to principal roles available.  Depending on the role, the position requires the use of Front and back End Technologies. This is a great opportunity to work with a company that has a primary focus of making our customers happy by delivering value, without all the burdensome policies and rules that have become typical for outsourced software development companies.

If you are looking for a change this is what we can promise you:

• You will have challenging problems to solve
• You will have flexibility and autonomy to solve problems and deliver solutions
• We will provide a highly collaborative environment with skilled and super friendly teammates
• We will fully support you in developing software the right way
• We won't burden you with useless policies and procedures
• We will provide you the tools you need to do your job right

If this sounds attractive please apply! We'd love to talk to you!

Responsibilities:
 

• Work with cross-functional teams, using agile practices, write, debug and deliver code
• Produce solid, thoroughly tested features

           ​​​​​​​Requirements:

• 3+ years of experience in Javascript engineering, frameworks, unit testing frameworks 
• At least 3 years of experience developing in Node, React, and nice  to have experience on Go Language
• Strong verbal and written communication skills
• Experience working with product managers and scrum teams to effectively translate business requirements into workflows  
• Demonstrated ability to remove problems and overcome roadblocks
• Cloud platform experience 

        Good to have for Mid/Sr. and must have for Principal role 

• Hands-on experience with APIs, microservices
• Experience with CI/CD systems such as Jenkins
• Experience with JSON and developing REST Services
• Expert experience leveraging container based technologies
• Multiple years of experience delivery solutions through an Agile delivery methodology
• Experience with bash shell scripts, LINUX utilities & UNIX Commands
• Ability to understand complex systems and solve challenging analytical problems
• Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources
• Strong collaboration and communication skills within and across teams
• Strong problem solving skills and critical thinking ability