12,094 Automation Specialists jobs in India
Technical Automation Engineer
Posted 10 days ago
Job Viewed
Job Description
**Grade Level (for internal use):**
10
**Technical Automation Engineer**
We are looking for Automation Engineer to support ongoing Privileged Access Management (PAM) automation initiatives.
This is a development-driven role, not focused on CyberArk administration or monitoring. While CyberArk experience is preferred but not mandatory, the position is open to candidates with experience in other PAM platforms such as BeyondTrust, Delinea (Thycotic), HashiCorp Vault, or similar.
**What You'll Do:**
+ Build and maintain automation workflows using PowerShell, Python etc., targeting PAM-related processes and requirements.
+ Integrate PAM tools with enterprise platforms (e.g., Active Directory, ServiceNow, Cloud, Vaults etc.) via REST APIs.
+ Use Git/GitLab for version control and contribute to a CI/CD pipeline.
+ Collaborate with both internal and external teams to deliver automation outcomes.
+ Ability to work independent in a high visibility team.
**Key Technical Skills:**
+ Minimum 5 years of experience in automation development is required.
+ Proficient in one of the scripting languages ( **PowerShell, Python** etc.) - Required
+ Must have experience building automation using **Cloud, API, Workflows, Database SQL etc.**
+ Privileged Access Management (PAM) - Experience with CyberArk preferred, but other PAM tools (e.g., Beyond Trust, Delinea, HashiCorp Vault etc) are preferred.
+ **REST APIs** - Hands-on experience integrating with security, cloud and 3rd party applications using APIs.
+ Database SQLs - Nice to have
**Ideal Candidate Profile**
+ A strong developer or automation engineer with a passion for identity and access management.
+ Agile, adaptable, and capable of contributing independently in a lean team structure.
+ Strong communicator, problem solver, and collaborator.
+ Comfortable with fast-delivery environment
+ Proactive, quick learner with a strong liking for innovation and creativity, open-minded, and adept at quickly adapting to new technologies
**What's In It For** **You?**
**Our Purpose:**
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world.
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.
**Our People:**
We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We're constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
**Our Values:**
**Integrity, Discovery, Partnership**
At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of **integrity** in all we do, bring a spirit of **discovery** to our work, and collaborate in close **partnership** with each other and our customers to achieve shared goals.
**Benefits:**
We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global.
Our benefits include:
+ Health & Wellness: Health care coverage designed for the mind and body.
+ Flexible Downtime: Generous time off helps keep you energized for your time on.
+ Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
+ Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
+ Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
+ Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.
For more information on benefits by country visit: Hiring and Opportunity at S&P Global:**
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
**Recruitment Fraud Alert:**
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here ( .
---
**Equal Opportunity Employer**
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person.
**US Candidates Only:** The EEO is the Law Poster describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group)
**Job ID:**
**Posted On:**
**Location:** Ranga Reddy District, Telangana, India
Automation Engineering Manager
Posted 10 days ago
Job Viewed
Job Description
Established in 1986, Sutherland is a global provider of business process and technology management services offering an integrated portfolio of analytics-driven back-office and customer facing solutions that support the entire customer lifecycle.
As a process transformation company, Sutherland rethinks and rebuilds processes for the digital age by combining the speed and insight of design thinking with the scale and accuracy of data analytics. We have been helping customers across industries from financial services to healthcare, achieve greater agility through transformed and automated customer experiences for over 30+ years.
About the Role
We are seeking a technically skilled and delivery-focused AI Manager (L5) to lead the development and implementation of AI solutions under the guidance of the AI Architect. This role will manage cross-functional teams of AI developers, data scientists, and MLOps engineers to build scalable, production-grade AI systems including Generative AI, Agentic AI, and Transformer-based models.
Responsibilities
- Manage day-to-day execution of AI projects, ensuring timely delivery, quality, and alignment to architectural design.
- Lead AI developers and collaborate closely with data scientists, BAs, and MLOps engineers to build end-to-end AI workflows.
- Translate architectural blueprints into executable components, prototypes, and production-ready services.
- Oversee the development of GenAI applications, RAG pipelines, and agent-based solutions using frameworks like LangChain and LangGraph.
- Supervise integration of AI services with business systems and ensure model outputs are usable, interpretable, and reliable.
- Track project KPIs, technical progress, and resource allocation; escalate risks and blockers as needed.
- Review code, support reusable component development, and enforce engineering best practices.
- Coach and mentor junior engineers and analysts within the AI team.
Qualifications
- 7+ years of experience in AI/ML engineering or software development, with 2–3 years in team leadership roles.
- Experience delivering projects using GenAI, LLMs, or Transformer models (e.g., GPT, BERT, LLaMA).
- Solid understanding of prompt engineering, APIs, data preprocessing, and model integration.
- Hands-on coding proficiency in Python and familiarity with ML libraries (PyTorch, HuggingFace, LangChain, etc.).
- Exposure to vector databases and RAG architectures for enterprise knowledge retrieval.
- Strong organizational, problem-solving, and team leadership skills.
- Bachelor’s or master’s degree in computer science, AI, or related technical field.
Preferred Skills
- Experience working in agile delivery environments with CI/CD pipelines and MLOps tools.
- Familiarity with multi-agent orchestration platforms, LLMOps, or auto-evaluation frameworks.
- Prior experience in AI delivery within telecom, BFSI, healthcare, or manufacturing domains.
- Ability to interface with business stakeholders to gather requirements and validate outcomes.
Automation Engineering Manager
Posted 3 days ago
Job Viewed
Job Description
Established in 1986, Sutherland is a global provider of business process and technology management services offering an integrated portfolio of analytics-driven back-office and customer facing solutions that support the entire customer lifecycle.
As a process transformation company, Sutherland rethinks and rebuilds processes for the digital age by combining the speed and insight of design thinking with the scale and accuracy of data analytics. We have been helping customers across industries from financial services to healthcare, achieve greater agility through transformed and automated customer experiences for over 30+ years.
About the Role
We are seeking a technically skilled and delivery-focused AI Manager (L5) to lead the development and implementation of AI solutions under the guidance of the AI Architect. This role will manage cross-functional teams of AI developers, data scientists, and MLOps engineers to build scalable, production-grade AI systems including Generative AI, Agentic AI, and Transformer-based models.
Responsibilities
- Manage day-to-day execution of AI projects, ensuring timely delivery, quality, and alignment to architectural design.
- Lead AI developers and collaborate closely with data scientists, BAs, and MLOps engineers to build end-to-end AI workflows.
- Translate architectural blueprints into executable components, prototypes, and production-ready services.
- Oversee the development of GenAI applications, RAG pipelines, and agent-based solutions using frameworks like LangChain and LangGraph.
- Supervise integration of AI services with business systems and ensure model outputs are usable, interpretable, and reliable.
- Track project KPIs, technical progress, and resource allocation; escalate risks and blockers as needed.
- Review code, support reusable component development, and enforce engineering best practices.
- Coach and mentor junior engineers and analysts within the AI team.
Qualifications
- 7+ years of experience in AI/ML engineering or software development, with 2–3 years in team leadership roles.
- Experience delivering projects using GenAI, LLMs, or Transformer models (e.g., GPT, BERT, LLaMA).
- Solid understanding of prompt engineering, APIs, data preprocessing, and model integration.
- Hands-on coding proficiency in Python and familiarity with ML libraries (PyTorch, HuggingFace, LangChain, etc.).
- Exposure to vector databases and RAG architectures for enterprise knowledge retrieval.
- Strong organizational, problem-solving, and team leadership skills.
- Bachelor’s or master’s degree in computer science, AI, or related technical field.
Preferred Skills
- Experience working in agile delivery environments with CI/CD pipelines and MLOps tools.
- Familiarity with multi-agent orchestration platforms, LLMOps, or auto-evaluation frameworks.
- Prior experience in AI delivery within telecom, BFSI, healthcare, or manufacturing domains.
- Ability to interface with business stakeholders to gather requirements and validate outcomes.
Automation Engineering Manager
Posted 10 days ago
Job Viewed
Job Description
As a process transformation company, Sutherland rethinks and rebuilds processes for the digital age by combining the speed and insight of design thinking with the scale and accuracy of data analytics. We have been helping customers across industries from financial services to healthcare, achieve greater agility through transformed and automated customer experiences for over 30+ years.
About the Role
We are seeking a technically skilled and delivery-focused AI Manager (L5) to lead the development and implementation of AI solutions under the guidance of the AI Architect. This role will manage cross-functional teams of AI developers, data scientists, and MLOps engineers to build scalable, production-grade AI systems including Generative AI, Agentic AI, and Transformer-based models.
Responsibilities
Manage day-to-day execution of AI projects, ensuring timely delivery, quality, and alignment to architectural design.
Lead AI developers and collaborate closely with data scientists, BAs, and MLOps engineers to build end-to-end AI workflows.
Translate architectural blueprints into executable components, prototypes, and production-ready services.
Oversee the development of GenAI applications, RAG pipelines, and agent-based solutions using frameworks like LangChain and LangGraph.
Supervise integration of AI services with business systems and ensure model outputs are usable, interpretable, and reliable.
Track project KPIs, technical progress, and resource allocation; escalate risks and blockers as needed.
Review code, support reusable component development, and enforce engineering best practices.
Coach and mentor junior engineers and analysts within the AI team.
Qualifications
7+ years of experience in AI/ML engineering or software development, with 2–3 years in team leadership roles.
Experience delivering projects using GenAI, LLMs, or Transformer models (e.g., GPT, BERT, LLaMA).
Solid understanding of prompt engineering, APIs, data preprocessing, and model integration.
Hands-on coding proficiency in Python and familiarity with ML libraries (PyTorch, HuggingFace, LangChain, etc.).
Exposure to vector databases and RAG architectures for enterprise knowledge retrieval.
Strong organizational, problem-solving, and team leadership skills.
Bachelor’s or master’s degree in computer science, AI, or related technical field.
Preferred Skills
Experience working in agile delivery environments with CI/CD pipelines and MLOps tools.
Familiarity with multi-agent orchestration platforms, LLMOps, or auto-evaluation frameworks.
Prior experience in AI delivery within telecom, BFSI, healthcare, or manufacturing domains.
Ability to interface with business stakeholders to gather requirements and validate outcomes.
Automation Engineering Manager
Posted today
Job Viewed
Job Description
Established in 1986, Sutherland is a global provider of business process and technology management services offering an integrated portfolio of analytics-driven back-office and customer facing solutions that support the entire customer lifecycle.
As a process transformation company, Sutherland rethinks and rebuilds processes for the digital age by combining the speed and insight of design thinking with the scale and accuracy of data analytics. We have been helping customers across industries from financial services to healthcare, achieve greater agility through transformed and automated customer experiences for over 30+ years.
About the Role
We are seeking a technically skilled and delivery-focused AI Manager (L5) to lead the development and implementation of AI solutions under the guidance of the AI Architect. This role will manage cross-functional teams of AI developers, data scientists, and MLOps engineers to build scalable, production-grade AI systems including Generative AI, Agentic AI, and Transformer-based models.
Responsibilities
- Manage day-to-day execution of AI projects, ensuring timely delivery, quality, and alignment to architectural design.
- Lead AI developers and collaborate closely with data scientists, BAs, and MLOps engineers to build end-to-end AI workflows.
- Translate architectural blueprints into executable components, prototypes, and production-ready services.
- Oversee the development of GenAI applications, RAG pipelines, and agent-based solutions using frameworks like LangChain and LangGraph.
- Supervise integration of AI services with business systems and ensure model outputs are usable, interpretable, and reliable.
- Track project KPIs, technical progress, and resource allocation; escalate risks and blockers as needed.
- Review code, support reusable component development, and enforce engineering best practices.
- Coach and mentor junior engineers and analysts within the AI team.
Qualifications
- 7+ years of experience in AI/ML engineering or software development, with 2–3 years in team leadership roles.
- Experience delivering projects using GenAI, LLMs, or Transformer models (e.g., GPT, BERT, LLaMA).
- Solid understanding of prompt engineering, APIs, data preprocessing, and model integration.
- Hands-on coding proficiency in Python and familiarity with ML libraries (PyTorch, HuggingFace, LangChain, etc.).
- Exposure to vector databases and RAG architectures for enterprise knowledge retrieval.
- Strong organizational, problem-solving, and team leadership skills.
- Bachelor’s or master’s degree in computer science, AI, or related technical field.
Preferred Skills
- Experience working in agile delivery environments with CI/CD pipelines and MLOps tools.
- Familiarity with multi-agent orchestration platforms, LLMOps, or auto-evaluation frameworks.
- Prior experience in AI delivery within telecom, BFSI, healthcare, or manufacturing domains.
- Ability to interface with business stakeholders to gather requirements and validate outcomes.
Automation Engineering Manager
Posted 9 days ago
Job Viewed
Job Description
Established in 1986, Sutherland is a global provider of business process and technology management services offering an integrated portfolio of analytics-driven back-office and customer facing solutions that support the entire customer lifecycle.
As a process transformation company, Sutherland rethinks and rebuilds processes for the digital age by combining the speed and insight of design thinking with the scale and accuracy of data analytics. We have been helping customers across industries from financial services to healthcare, achieve greater agility through transformed and automated customer experiences for over 30+ years.
About the Role
We are seeking a technically skilled and delivery-focused AI Manager (L5) to lead the development and implementation of AI solutions under the guidance of the AI Architect. This role will manage cross-functional teams of AI developers, data scientists, and MLOps engineers to build scalable, production-grade AI systems including Generative AI, Agentic AI, and Transformer-based models.
Responsibilities
- Manage day-to-day execution of AI projects, ensuring timely delivery, quality, and alignment to architectural design.
- Lead AI developers and collaborate closely with data scientists, BAs, and MLOps engineers to build end-to-end AI workflows.
- Translate architectural blueprints into executable components, prototypes, and production-ready services.
- Oversee the development of GenAI applications, RAG pipelines, and agent-based solutions using frameworks like LangChain and LangGraph.
- Supervise integration of AI services with business systems and ensure model outputs are usable, interpretable, and reliable.
- Track project KPIs, technical progress, and resource allocation; escalate risks and blockers as needed.
- Review code, support reusable component development, and enforce engineering best practices.
- Coach and mentor junior engineers and analysts within the AI team.
Qualifications
- 7+ years of experience in AI/ML engineering or software development, with 2–3 years in team leadership roles.
- Experience delivering projects using GenAI, LLMs, or Transformer models (e.g., GPT, BERT, LLaMA).
- Solid understanding of prompt engineering, APIs, data preprocessing, and model integration.
- Hands-on coding proficiency in Python and familiarity with ML libraries (PyTorch, HuggingFace, LangChain, etc.).
- Exposure to vector databases and RAG architectures for enterprise knowledge retrieval.
- Strong organizational, problem-solving, and team leadership skills.
- Bachelor’s or master’s degree in computer science, AI, or related technical field.
Preferred Skills
- Experience working in agile delivery environments with CI/CD pipelines and MLOps tools.
- Familiarity with multi-agent orchestration platforms, LLMOps, or auto-evaluation frameworks.
- Prior experience in AI delivery within telecom, BFSI, healthcare, or manufacturing domains.
- Ability to interface with business stakeholders to gather requirements and validate outcomes.
Technical Lead - Automation DRE
Posted today
Job Viewed
Job Description
Technical Lead - Automation DRE
IT (Information Technology) Permanent contract Bangalore, India Reference 24000TN9 Start date Immediately Publication date 2025/04/30Responsibilities
Responsibilities include:
- Develop and automate complex workflows and systems using Python to streamline IT processes and infrastructure management.
- Design, implement, and manage Ansible playbooks for infrastructure automation, configuration management, and continuous deployment.
- Build and maintain scalable automation solutions within private cloud environments (Openstack) leveraging cloud-native tools and services.
- Collaborate with cross-functional teams to integrate AIOps for proactive system monitoring, anomaly detection, and automated incident response.
- Implement MLOps pipelines to automate machine learning model deployment, monitoring, and lifecycle management in production environments.
- Optimize infrastructure and processes using automation frameworks to reduce operational overhead and improve system performance.
- Automate routine tasks and processes related to system provisioning, configuration, and patch management.
- Design self-healing, auto-scaling systems by incorporating advanced automation techniques in cloud platforms.
- Create automated workflows to manage data pipelines, train models, and monitor ML models' performance in MLOps environments.
- Collaborate with DevOps teams to build and maintain CI/CD pipelines and automated deployment processes for applications and machine learning models.
- Continuously assess and improve automation frameworks and pipelines to align with the latest industry best practices.
Profile required
- Python: Strong proficiency in scripting and automation tasks.
- Power shell scripting knowledge.
- Ansible: Expertise in writing and managing Ansible playbooks for infrastructure automation.
- Cloud Knowledge: Sound understanding of cloud platforms like AWS, Azure, or GCP, including serverless architectures and cloud-native automation tools.
- AIOps: Experience with tools and frameworks that use AI to enhance IT operations (such as monitoring, event correlation, and incident management).
- MLOps: Familiarity with automating the deployment, monitoring, and management of machine learning models.
- DevOps & CI/CD: Experience with CI/CD pipelines and infrastructure as code.
- Good technical grasp of databases and systems
- Problem Solving: Strong analytical skills to identify and resolve automation challenges effectively.
Why join us
We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status
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Technical Lead - Automation Testing
Posted today
Job Viewed
Job Description
Become a key part of a team crafting the future of gaming at Aristocrat.
What You'll Do:-
Be a vital member of our online Digital Gaming team, responsible for testing iGaming.
Design and implement high-quality, maintainable automated testing solutions and tools tailored to the needs of various teams.
Contribute to the technical design for new framework components or tools, ensuring consistency with the overall design and strategy.
Conduct training sessions to educate team members on standard methodologies for test automation and the use of automation tools.
Understand the 'big picture' of the automation framework architecture and provide constructive feedback and improvement suggestions.
Participate in tool selection processes by capturing and prioritizing requirements, and document tool evaluations to meet current and future needs.
Collaborate with architects and development teams to optimize and improve test automation strategies, processes, and assets to ensure timely delivery of stories and features.
Champion and consistently improve quality through automated testing.
Facilitate constructive dialogue with colleagues, demonstrating straight talking, trustworthiness, and openness.
Work with tech leads, team leads, developers, and testers to devise and deliver innovative solutions for core-tech improvements, tooling, processes, and business as usual tasks.
Use advanced test techniques to build comprehensive test coverage.
Ensure test coverage and maintainability for test assets in respective areas.
Apply risk-based testing to ensure effective and efficient test coverage.
Build and distribute clear test execution and defect reports.
Conduct planning and risk analysis to ensure timely and appropriate testing.
Apply methodological thinking in the approach to testing and explore products to find vulnerabilities.
What We're Looking For:-
Minimum of 5+ years of testing and test automation experience.
A degree or equivalent experience in Computer Science or Engineering related fields.
Experience in crafting effective test coverage and selecting appropriate features/test cases for automation.
Proven track record in training and mentoring others in test automation.
Solid experience with development languages such as Java, JavaScript, or C#.
Hands-on experience with open source test tools like TestNG, Junit, Cucumber (JVM), Appium, WebdriverIO.
Experience in automating front-end (web or native) and back-end applications.
Understanding of delivery life cycles and Agile methodologies.
Proficiency in Git management tools like GitHub, GitLab, or Bitbucket.
Knowledge of proxying and experience using tools like Charles and Postman.
Experience testing across mobile, tablet, desktop, OS, and browser variations.
Seeking a dedicated individual with a passion for pushing boundaries in gaming automation.
Technical Lead, Automation (Mobile)
Posted today
Job Viewed
Job Description
Responsibilities
Qualifications:
Platform Automation Engineering Manager
Posted today
Job Viewed
Job Description
Every career journey is personal. That's why we empower you with the tools and support to create your own success story.
Be challenged. Be heard. Be valued. Be you . be here.
Job Summary
Platform Automation Engineering Manager will be responsible for leading test automation frameworks, tooling, and test data management to optimize enterprise processes through innovative quality engineering solutions and cutting-edge technology. You will lead the design of test data management practices and oversee the development of tools to support test infrastructure. This role involves collaborating with engineering teams to create scalable, high-performance testing solutions, applying modern testing techniques to ensure quality standards are met across all environments. As a manager, you will mentor team members, advocate for quality throughout the development lifecycle, and promote the adoption of shift-left testing practices. Additionally, you will lead efforts to build robust CI/CD pipelines that enable fast feedback and continuous delivery of quality software.Essential Job Functions