Build Your IT Career with DataArt in Pune

Our client is one of the largest professional certification associations in the finance industry globally and uses DataArt as its primary technology partner.

Project overview

The project focuses on developing advanced automated testing solutions enhanced with AI driven capabilities to improve test coverage, speed, and reliability across modern applications. You will work on integrating intelligent agents and automation tools into the testing lifecycle.

Position overview

We are looking for a skilled Automated Quality Assurance Engineer with strong experience in Typescript, Playwright, and AI driven testing approaches. You will contribute to building reliable automation frameworks and improving software quality through modern testing practices and intelligent tooling.

Technology stack

Typescript, Playwright, Playwright MCP, Selenium WebDriver, GitHub Copilot, AI Agents concepts, CI CD pipelines, Git, cloud based development environments.

Responsibilities

• Design and maintain automated test scripts using Typescript and Playwright
• Collaborate with developers and product teams to define and implement test strategies
• Execute automated test suites and analyze results to ensure product quality
• Integrate Playwright MCP features into automation workflows
• Apply AI agent concepts to enhance automation coverage and efficiency
• Leverage GitHub Copilot to improve development speed and code quality
• Participate in code reviews and contribute to CI CD processes
• Monitor testing trends and apply best practices in automation and AI driven QA

Requirements

• Experience with Playwright MCP
• Understanding of AI Agents concepts and their practical application
• Hands on experience with GitHub Copilot
• Proficiency in Typescript
• Experience with Selenium WebDriver for test automation
• Experience working with CI CD pipelines and version control systems
• Strong programming skills in at least one modern language
• Ability to collaborate effectively within a team environment
• Strong problem solving and communication skills

Nice to have

• Experience with cloud based testing environments
• Familiarity with performance testing tools
• Exposure to DevOps practices and automation pipelines
• Understanding of modern software architecture patterns

Our client is one of the largest professional certification associations in the finance industry globally and uses DataArt as its primary technology partner.

Project overview

This project focuses on building and enhancing a scalable quality engineering ecosystem that supports modern product delivery. You will help shape automation practices and drive quality across the entire lifecycle while working with cross functional teams. The project nickname is Quality Platform.

Position overview

We are looking for an experienced QA Automation Lead with hands on expertise in Playwright MCP and TypeScript, combined with a strong background in leading QA and QE teams. You will guide both technical and organizational aspects of quality engineering, helping the team adopt effective automation strategies and delivering high quality software.

Technology stack

Playwright MCP, TypeScript, CI CD pipelines, test automation frameworks, Git, agile tools and practices.

Responsibilities

• Lead the QE team and coordinate daily quality engineering activities
• Define and drive the test automation strategy using Playwright MCP and TypeScript
• Collaborate with developers and product stakeholders to ensure quality throughout the delivery lifecycle
• Design, develop, and maintain scalable automated test frameworks and test suites
• Provide technical guidance and mentorship to QA and QE engineers
• Participate in sprint planning, estimation, and delivery coordination
• Review test coverage, identify gaps, and propose improvements
• Support CI CD integration and implement quality gates in the delivery pipeline
• Promote best practices in testing, automation, and quality ownership
• Contribute to a collaborative and high performing team environment

Requirements

• Proven experience in a QA Lead or QE Lead role
• Hands on experience with Playwright MCP
• Strong proficiency in TypeScript
• Solid experience in test automation and framework design
• Experience leading or mentoring QA or QE engineers
• Strong understanding of software development lifecycle and QA processes
• Experience working in agile environments with close collaboration with development teams
• Strong communication, collaboration, and problem solving skills
• Experience managing stakeholders and aligning quality goals across teams

Nice to have

• Experience with CI CD tools and pipeline optimization
• Knowledge of performance or security testing practices
• Experience working with cloud based environments
• Familiarity with additional automation tools or frameworks

Our client is a leading technology and consulting organization focused on delivering cutting‑edge digital solutions, AI‑powered products, and enterprise‑scale transformation programs. They work with global partners to design, build, and operationalize innovative tools and platforms that accelerate business value.

Position overview

We are looking for an experienced Delivery Manager to lead the successful delivery of technology projects and ensure alignment between business goals, client expectations, and engineering execution. In this role, you will coordinate cross-functional teams, manage risks and dependencies, support predictable delivery, and foster a collaborative, high-performing environment. You will work closely with stakeholders to drive transparency, resolve delivery challenges, and ensure high-quality outcomes.

Responsibilities

• Lead delivery across multiple software development projects.
• Manage and mentor project managers and delivery teams, ensuring high standards of execution.
• Support team setup, organization, and ongoing guidance.
• Ensure effective communication and information exchange across teams and stakeholders.
• Oversee release and environment strategy preparation and review.
• Facilitate release and sprint vision and goal setting.
• Support pre-planning and post-planning meetings.
• Maintain release calendars and iterative planning cycles.
• Provide project and portfolio status visibility to stakeholders at different levels.
• Support professional development planning for team members.
• Drive continuous process improvements to increase team satisfaction and client value.
• Build and maintain strong client relationships and identify new opportunities within the account.
• Participate in pre-sales and proposal preparation activities.
• Ensure alignment with legal, compliance, and delivery governance standards.

Requirements

• 5+ years of successful project or delivery management experience.
• Experience managing all stages of the project lifecycle.
• Proven ability to build and maintain strong, long-lasting client relationships.
• Experience identifying and promoting new opportunities within an account.
• Experience mentoring and leading other project managers.
• Experience in pre-sales and proposal preparation.
• Experience managing teams of 50+ people.
• Strong understanding of development processes and ability to adapt them as needed.
• Excellent communication and interpersonal skills.

Nice to have

• Knowledge of Agile frameworks.
• Experience managing a group of projects and tracking implementation status.
• Ability to analyze project risks and pitfalls and recommend effective solutions

Our client is a leading technology and consulting organization focused on delivering cutting‑edge digital solutions, AI‑powered products, and enterprise‑scale transformation programs. They work with global partners to design, build, and operationalize innovative tools and platforms that accelerate business value.

Position overview

Our client is seeking a seasoned AI Consultant and Leader to helm their AI Center of Excellence (CoE), driving AI initiatives and innovation across the organization. The role involves close collaboration with the client’s leadership and business teams to identify, consult on, and propose high-impact AI projects. The AI CoE Lead will also work closely with development teams to ensure successful implementation, adoption, and scaling of AI solutions.

Technology stack

Azure, AWS, OpenAI, Azure OpenAI, Anthropic, LangChain, Semantic Kernel, Microsoft 365, Salesforce, enterprise data platforms, APIs, cloud native architecture.

Responsibilities

• Serve as the primary AI consultant to the client, understanding their business challenges and identifying opportunities for AI-driven innovations.
• Develop and drive the AI strategy aligned with client goals, facilitating innovation and best practices through the AI Center of Excellence.
• Lead the assessment, prioritization, and roadmap planning of AI initiatives.
• Collaborate with cross-functional teams including product owners, data scientists, engineers, and business stakeholders to scope, design, and deliver AI solutions.
• Provide expert guidance on AI technologies, frameworks, and architectures suitable for the client’s environment.
• Ensure AI projects meet business objectives, maintain technical quality, and follow ethical AI principles.
• Mentor and lead AI CoE team members to build internal AI capabilities and knowledge sharing.
• Stay abreast of AI trends, tools, and emerging technologies to advise on continuous improvement and innovation.
• Manage stakeholder expectations, communicate roadmap progress, benefits, risks, and delivery outcomes consistently.

Requirements

• 7+ years of experience in AI consulting, solution architecture, or related roles, ideally with leadership responsibilities.
• Proven expertise in AI/ML technologies, frameworks, and best practices.
• Strong track record of driving AI initiatives from ideation through design and implementation in enterprise environments.
• Experience working directly with clients and executive leadership to translate business needs into AI solutions.
• Hands-on collaboration experience with development teams and data scientists.
• Solid understanding of AI ethics, data privacy, and responsible AI principles.
• Excellent communication, stakeholder management, and leadership skills.
• Ability to work in complex, fast-moving environments and manage multiple priorities.
• Advanced degree in Computer Science, AI, Data Science, or related fields preferred.

Nice to have

• Experience building or leading Centers of Excellence or CoE-like structures.
• Familiarity with cloud AI platforms (AWS, Azure, Google Cloud) and AI lifecycle management tools.

Our client is a leading technology and consulting organization focused on delivering cutting‑edge digital solutions, AI‑powered products, and enterprise‑scale transformation programs. They work with global partners to design, build, and operationalize innovative tools and platforms that accelerate business value.

Position overview

We are looking for an experienced Java Lead to provide technical direction and architectural guidance for scalable, secure, and maintainable enterprise solutions built with Java and AWS. In this role, you will lead solution design, support development teams, and help drive cloud adoption, automation, and engineering best practices across the project.

Technology stack

Java, Spring, Hibernate, AWS services including EC2, Lambda, S3, RDS, ECS, CloudFormation, Terraform, Docker, Kubernetes, CI CD tools, Jenkins, GitLab, CodePipeline, CloudWatch, ELK stack

Responsibilities

• Lead the design of scalable and maintainable solutions using Java and AWS services
• Collaborate with stakeholders to gather requirements and translate business needs into technical architecture
• Define architecture blueprints, reference models, and design guidelines aligned with enterprise standards
• Provide technical guidance and mentorship to development teams on Java frameworks and AWS practices
• Evaluate and select AWS services to support performance, cost efficiency, and security
• Drive cloud adoption initiatives including migration, automation, and CI CD pipeline design
• Ensure alignment with security policies and regulatory requirements within solution design
• Participate in architecture reviews, code reviews, and technical workshops
• Support development teams in implementing scalable and cloud native solutions
• Monitor emerging technologies and recommend improvements where relevant

Requirements

• 7+ years of experience as a Java Lead, Technical Architect, or in a similar role
• Strong proficiency in Java and frameworks such as Spring and Hibernate
• Hands on experience designing and deploying applications using AWS services such as EC2, Lambda, S3, RDS, ECS, and CloudFormation
• Understanding of cloud architecture principles, microservices, and serverless design
• Experience with infrastructure as code tools such as Terraform, CloudFormation, or Ansible
• Experience with Docker and Kubernetes
• Understanding of security practices in cloud environments
• Experience working in agile or DevOps environments
• Strong communication and stakeholder management skills

Nice to have

• AWS Certified Solutions Architect certification
• Experience with monitoring and logging tools such as CloudWatch or ELK stack
• Familiarity with CI CD tools such as Jenkins, GitLab, or CodePipeline

Our client is one of the largest professional certification associations in the finance industry globally and uses DataArt as its primary technology partner.

Project overview

This project focuses on building and enhancing a scalable quality engineering ecosystem that supports modern product delivery. You will help shape automation practices and drive quality across the entire lifecycle while working with cross functional teams.

Position overview

The Enterprise QA Innovation Lead is responsible for driving innovation and transformation across enterprise QA engagements. This role focuses on AI-driven QA, process optimization, automation strategies, and predictive quality intelligence for large-scale enterprise clients. The focus is on elevating QA from execution to a strategic, innovation-led function, improving efficiency, accelerating delivery, and reducing risk across complex integrated systems.

Technology stack

Playwright MCP, TypeScript, CI CD pipelines, test automation frameworks, Git, agile tools and practices.

Responsibilities

• Lead the design and implementation of AI-driven QA frameworks that optimize test coverage, detect anomalies, and generate predictive quality insights.
• Drive process innovation across enterprise QA engagements, identifying opportunities to reduce manual effort, accelerate delivery, and standardize QA practices.
• Collaborate with enterprise clients, internal QA teams, and engineering teams to integrate modern QA methodologies into the SDLC, including shift-left, continuous testing, and CI/CD pipelines.
• Develop and deploy advanced automation strategies, leveraging AI-assisted test generation and intelligent regression testing for ERP, e-commerce, and cloud-native applications.
• Define metrics and analytics frameworks to monitor QA efficiency, automation ROI, defect trends, and predictive quality indicators.
• Evaluate and introduce emerging QA technologies, AI-driven tools, and best practices for enterprise software quality.
• Act as a strategic innovation partner to enterprise clients, shaping QA approaches for complex environments and delivering measurable business value.
• Lead QA modernization initiatives across enterprise accounts, focusing on process efficiency, automation, and predictive QA adoption.

Requirements

• 8+ years of QA experience, including hands-on experience with automation frameworks, AI-driven testing, and large-scale enterprise systems.
• Demonstrated ability to implement AI-assisted QA tools, predictive QA, and continuous testing strategies.
• Proven experience optimizing QA processes for ERP, e-commerce, and cloud-native applications.
• Strong analytical and problem-solving skills, with experience defining QA metrics and predictive insights.
• Experience collaborating with enterprise clients and internal teams to implement innovative QA solutions.
• Excellent communication skills, able to convey technical innovation and strategic QA improvements to stakeholders.

Nice to have

• Experience with AI testing tools such as Playwright MCP, Cursor, or equivalent.
• Proven track record in QA digital transformation initiatives.

This project focuses on building scalable and high quality IT talent pipelines, with a strong emphasis on the Indian market. The initiative also supports hiring across global regions including the UK, US, and Europe. It combines traditional sourcing approaches with AI driven tools and automation to improve reach, efficiency, and pipeline quality.

Team

You will work with a distributed team of recruiters, talent sourcers, and hiring stakeholders across multiple regions. The team operates in a collaborative and fast paced environment, sharing insights and aligning sourcing strategies to meet hiring goals.

Position overview

We are looking for an IT Recruiter to support a global recruitment initiative focused on building strong IT talent pipelines across multiple regions. You will work from India, primarily Pune or Bengaluru, and focus on sourcing within the local IT market while contributing to international hiring efforts. You will collaborate closely with recruiters and hiring partners to identify, engage, and qualify candidates, while contributing to scalable and modern sourcing strategies.

This position is offered as a 6-month fixed-term contract with the possibility of extension based on project needs and performance.

Responsibilities

• Source and engage candidates primarily within the Indian IT market while supporting hiring needs in the UK, US, and Europe
• Build and maintain talent pipelines across multiple IT skill areas with a focus on scalability and quality
• Apply modern sourcing techniques including AI driven tools, automation, and structured market mapping
• Conduct initial candidate screening and qualification aligned with global hiring standards
• Collaborate with recruiters and hiring partners to understand role requirements and sourcing priorities
• Ensure alignment between local sourcing efforts and international hiring expectations
• Maintain accurate tracking of candidate pipelines, sourcing activities, and outreach performance
• Contribute to continuous improvement of sourcing tools, workflows, and processes

Requirements

• Experience sourcing IT talent within the Indian market
• Ability to manage cross regional pipelines and adapt sourcing approaches to different markets
• Experience using LinkedIn Recruiter, Boolean search, and modern sourcing methodologies
• Experience sourcing IT profiles across a range of technologies
• Strong communication skills in English

Nice to have

• Experience working with remote and multicultural teams
• Hands on experience with AI tools for candidate search, profiling, messaging, or workflow automation
• Experience with US and/or European IT markets