11+ Agile PLM Jobs in Bangalore (Bengaluru) | Agile PLM Job openings in Bangalore (Bengaluru)

We are looking for a Technical Project Manager to oversee the successful execution of projects which involve deep integrations of various systems. This TPM should be able to identify the complete requirements of all involved stakeholders and identify the technical solution with a clear breakdown of tasks required for successful completion of the project.

Responsibilities:

• Create clear requirement documents for both new projects and changes on existing technical projects
• Identify business risks and points of failure in ongoing projects
• Plan and manage releases with all the system providers
• Troubleshoot any system failures on current projects

Requirements:

• Candidate must be from IIT.
• Candidate must have knowledge on Agile and Scrum.
• 4+ Years of total experience with atleast 2+ years in project management
• Understanding of data pipelines.
• Prior experience or knowledge on IT/Telephony Systems
• Excellent interpersonal and communication skills.
• Ability to multitask - excellent planning and time management skills
• Excellent leadership abilities.

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.

Key Responsibilities

Execute comprehensive manual test cases for our e-commerce platform

Design and implement automated test scripts using Selenium or Playwright

Work with AI-based testing tools to enhance testing efficiency and coverage

Identify, document, and track bugs throughout the testing lifecycle

Collaborate with developers and product managers to resolve issues

Participate in sprint planning and review meetings

Create and maintain testing documentation

Requirements

Minimum 1 year of hands-on software testing experience

Strong manual testing skills with attention to detail

Experience with test automation frameworks (Selenium or Playwright)

Familiarity with AI-based testing tools and approaches

Understanding of e-commerce platforms and their testing requirements

Excellent problem-solving and analytical skills

Strong communication and collaboration abilities

Experience with agile testing methodologies

Selection Process

Our hiring process involves practical assessment to ensure candidates have the hands-on experience we require:

Initial screening and interview

First-round technical assessment (practical task)

Technical interview

Second-round technical assessment (practical task)

Final interview

Note: Completion of the practical assessment tasks is mandatory for all candidates as we prioritize demonstrated skills and hands-on experience.

You can directly contact us on nine three one six one two zero one three two

Job Role: Java Full Stack Developer

Experience: 5-10 Years

Location: Mumbai (Onsite)

Job Overview:

We are looking for a skilled Java Full Stack Developer with 5-10 years of experience to join our team in Mumbai. The ideal candidate will have strong hands-on experience in backend development using Java, Spring Boot, and Microservices architecture, along with frontend development using React. You will be responsible for designing, developing, and maintaining scalable applications.

Key Responsibilities:

·      Design, develop, and maintain scalable full stack applications

·      Build robust backend services using Java, Spring Boot, and Microservices architecture

·      Develop responsive and user-friendly front-end applications using React

·      Collaborate with cross-functional teams including product, QA, and DevOps

·      Integrate APIs and work with databases to ensure seamless data flow

·      Participate in code reviews, debugging, and performance optimization

·      Ensure code quality, security, and best development practices

·      Contribute to architecture discussions and technical decision-making

Required Skills:

·      5–10 years of hands-on experience in software development

·      Strong proficiency in Java, Spring Boot, and Microservices

·      Solid experience with React.js for frontend development

·      Experience working with any relational or NoSQL databases

·      Good understanding of RESTful APIs and system design principles

·      Strong problem-solving and analytical skills

Preferred Skills (Good to Have):

·      Experience working on e-commerce platforms or products

·      Exposure to cloud platforms (AWS, Azure, or GCP)

·      Familiarity with CI/CD pipelines and DevOps practices

·      Knowledge of containerization tools like Docker/Kubernetes

Education:

·      Bachelor’s/Master’s degree in Computer Science or a related field

About the Company:

Pace Wisdom Solutions is a deep-tech Product engineering and consulting firm. We have offices in San Francisco, Bengaluru, and Singapore.

We specialize in designing and developing bespoke software solutions that cater to solving niche business problems.

We engage with our clients at various stages:

·      Right from the idea stage to scope out business requirements.

·      Design C architect the right solution and define tangible milestones.

·      Setup dedicated and on-demand tech teams for agile delivery.

·      Take accountability for successful deployments to ensure efficient go-to-market Implementations.

Pace Wisdom has been working with Fortune 500 Enterprises and growth-stage startups/SMEs since 2012. We also work as an extended Tech team and at times we have played the role of a Virtual CTO too. We believe in building lasting relationships and providing value-add every time and going beyond business.

We're Hiring - Java Full Stack Developer !

Job Details:

Location: Bangalore, Mumbai, Pune

Role: Java Full stack Developer

Experience: 5 to 10 Years

Notice Period: Immediate to 15 Days

Work Mode: Hybrid

Skills Required:

Strong knowledge of Java, Core Java, SQL

Expertise in Spring Boot, Angular/ React

Proficiency in OOPS, Design Patterns, Data Structures, and Algorithms

Experience with Multithreading and Microservices

Good experience in cloud platform, AWS preferred.

Experience with RESTful services and APIs

Data Scientist is responsible to discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver better products. Your primary focus will be in applying Machine Learning and Generative AI techniques for data mining and statistical analysis, Text analytics using NLP/LLM and building high quality prediction systems integrated with our products. The ideal candidate should have a prior background in Generative AI, NLP (Natural Language Processing), and Computer Vision techniques. Additionally, experience in working with current state of the art Large Language Models (LLMs), and Computer Vision algorithms.

Job Responsibilities:

»    Building models using best in AI/ML technology.

»    Leveraging your expertise in Generative AI, Computer Vision, Python, Machine Learning, and Data Science to develop cutting-edge solutions for our products.

»    Integrating NLP techniques, and utilizing LLM's in our products.

»    Training/fine tuning models with new/modified training dataset.

»    Selecting features, building and optimizing classifiers using machine learning techniques.

»    Conducting data analysis, curation, preprocessing, modelling, and post-processing to drive data-driven decision-making.

»    Enhancing data collection procedures to include information that is relevant for building analytic systems

»    Working understanding of cloud platforms (AWS).

»    Collaborating with cross-functional teams to design and implement advanced AI models and algorithms.

»    Involving in R&D activities to explore the latest advancements in AI technologies, frameworks, and tools.

»    Documenting project requirements, methodologies, and outcomes for stakeholders.

Technical skills

Mandatory

»    Minimum of 5 years  of experience as Machine Learning Researcher or Data Scientist.

»    Master's degree or Ph.D. (preferable) in Computer Science, Data Science, or a related field.

»    Should have knowledge and experience in working with Deep Learning projects using CNN, Transformers, Encoder and decoder architectures.

»    Working experience with LLM's (Large Language Models) and their applications (For e.g., tuning embedding models, data curation, prompt engineering, LoRA, etc.).

»    Familiarity with LLM Agents and related frameworks.

»    Good programming skills in Python and experience with relevant libraries and frameworks (e.g., PyTorch, and TensorFlow).

»    Good applied statistics skills, such as distributions, statistical testing, regression, etc.

»    Excellent understanding of machine learning and computer vision based techniques and algorithms.

»    Strong problem-solving abilities and a proactive attitude towards learning and adopting new technologies.

»    Ability to work independently, manage multiple projects simultaneously, and collaborate effectively with diverse stakeholders.

Nice to have

»    Exposure to financial research domain

»    Experience with JIRA, Confluence

»    Understanding of scrum and Agile methodologies

»    Basic understanding of NoSQL databases, such as MongoDB, Cassandra

Experience with data visualization tools, such as Grafana, GGplot, etc.

Responsibilities

Work with development teams and product managers to ideate software solutions

Design client-side and server-side architecture

Build the front-end of applications through appealing visual design

Develop and manage well-functioning databases and applications

Write effective APIs

Test software to ensure responsiveness and efficiency

Troubleshoot, debug and upgrade software

Create security and data protection settings

Build features and applications with a mobile responsive design

Write technical documentation

Work with data scientists and analysts to improve software

Requirements

Proven experience as a Full Stack Developer or similar role

Experience developing desktop and mobile applications

Familiarity with common stacks

Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery)

Knowledge of multiple back-end languages (e.g. C#, Java, Python) and JavaScript frameworks (e.g. Angular, React, Node.js)

Familiarity with databases (e.g. MySQL, MongoDB), web servers (e.g. Apache) and UI/UX design

Excellent communication and teamwork skills

Great attention to detail

Organizational skills

An analytical mind