Principal Instructional Designer (Tech Content Strategist) – Cloud Job Overview Are you a certified Cloud professional with a creative flair and a passion for content design? Join us to create impactful, learner-centered content that blends real-world expertise with engaging storytelling. As a Principal Instructional Designer - Cloud, you will lead the end-to-end development of engaging, instructionally sound learning experiences across major cloud platforms and technologies. Acting as a subject matter expert (SME), you'll translate complex cloud architectures and concepts into clear, outcome-focused content across digital formats. This role demands strong instructional design expertise, a deep understanding of learner needs, and the ability to creatively script and plan high-impact learning assets—from video courses to hands-on labs and assessments. Job Responsibilities Own the content development lifecycle—plan, research, script, storyboard review, strategic video review, and iterate—for Cloud technologies including AWS, Azure, Google Cloud, and multi-cloud strategies. Design creative and effective learning experiences grounded in instructional design principles, addressing diverse learner personas and real-world cloud implementation scenarios. Author and script engaging digital content, including on-demand videos, interactive cloud labs, walkthroughs/lessons, assessments, and job aids. Collaborate with visual designers, editors, and cloud technical experts to bring content to life in a compelling and accessible format. Align content with industry certification frameworks (e.g., AWS Certified Solutions Architect, Azure Administrator, Google Cloud Engineer) and learner performance outcomes Apply learner-centered design by identifying learning gaps and tailoring content that improves retention, engagement, and job readiness for cloud professionals. Utilize Generative AI tools to accelerate and enhance content ideation, scripting, and personalization. Ensure instructional consistency, voice, and quality across all course deliverables and formats. Optionally support bootcamps (virtual training delivery) and mentor junior content developers Skills Required Minimum 8+ years of hands-on experience in cloud technologies, including practical exposure to content planning and development. Demonstrated experience in instructional design, especially in developing digital learning products from concept to delivery. Excellent scripting, writing, and communication skills; able to distil complex cloud concepts into concise, engaging narratives. Strong creativity and storytelling ability with an understanding of how to structure content for different learning styles. Experience working with cloud platforms and related tools (AWS, Azure, GCP, Terraform, CloudFormation). Relevant certifications in Cloud technologies (e.g., AWS Certified Solutions Architect, Azure Administrator, Google Cloud Engineer, CompTIA Cloud+). Preferred/Additional Skills: Familiarity with Generative AI tools like ChatGPT, Claude, or similar for content creation and enhancement. Training delivery experience (live/ virtual/ hybrid formats) in cloud technologies. Understanding of instructional design models such as ADDIE, SAM, or Bloom’s Taxonomy. Experience in analyzing learner feedback and improving content based on performance and engagement data. Leadership experience in directing cross-functional teams for comprehensive cloud learning programs.

Position Overview We are building high-performance, co-located global teams across Hyderabad, the U.S., and Europe, leveraging Scaled Agile, Microservices, and DevOps models. Our tech stack includes Java, Node.js, React, Elixir, Ruby, Docker, and Kubernetes —offering a dynamic environment for passionate engineers to grow and innovate. As a Senior Software Engineer (Full Stack Developer) , you will collaborate with architects and DevOps, owning critical aspects of the product. This role requires strong expertise in Java-based full-stack development , along with a willingness to explore and adopt modern technologies like Node.js. Key Responsibilities Design, develop, and deploy cloud-based enterprise solutions using Java and modern frameworks. Build and integrate REST APIs, Web Services, and SAML-based authentication . Develop and maintain databases, preferably PostgreSQL . Implement microservices and event-driven architecture with Kafka or RabbitMQ . Work with JavaScript frameworks (Node.js, React, Redux, Angular, Express.js). Apply DevOps best practices using Docker, Kubernetes, and Ansible in cloud environments like AWS . Utilize CI/CD pipelines , automated testing frameworks, and version control (Git, GitHub/GitLab). Optimize multi-threading, performance, and scalability for high-traffic applications. Contribute to Agile/Scrum ceremonies, including backlog grooming, sprint planning, and retrospectives. Skills & Experience 5+ years of hands-on experience in software development. Strong expertise in Java, JavaScript, HTML5, CSS, and Spring Boot . Strong experience with JavaScript frameworks (Node.js, React, Redux, Angular, Express.js). Experience with front-end and UI frameworks such as React and Redux. Familiarity with build automation tools (Maven, Gradle, NPM, WebPack, Grunt). Knowledge of unit testing and UI test frameworks (Jest, Mocha, Jasmine, Selenium). Deep understanding of microservices architecture, scaling strategies, and security best practices . Proven problem-solving skills and ability to work in a fast-paced, Agile environment . Strong analytical skills with an aptitude for troubleshooting and debugging complex issues. Preferred Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field . This is more than just a role—it’s an opportunity to be part of a forward-thinking team that is shaping the future of learning. If you're passionate about building world-class software with cutting-edge technologies, we’d love to hear from you!

At Skillsoft, we are all about making work matter. We believe every team member has the potential to be AMAZING. We are bold, sharp, driven and most of all, real. Join us in our quest to democratize learning and help individuals unleash their edge. OVERVIEW: Are you an aspiring QA/Automation Engineer looking for an opportunity to work in a fast paced and fun environment? Then consider joining us here at our office in Hyderabad. We continue to innovate on our next generation SaaS platform with a goal of being the “best in the industry ”. Combined with state of the art interactive and engaging learning experiences, o ur platform lets our 6000+ customers consume content from a variety of sources with a strong focus on video, from any device, with features that fit the needs of the learner . We believe that our customers deserve the best platform, and we are delivering on those needs with the platform you will be working on. You could be the one to help us achieve this goal! We are looking for exceptional automation expert(s) to join our team. Using Selenium, JAVA and Cucumber, and a variety of other JavaScript technologies, successful candidates will be part of enabling Automation for our product on SaaS platform. We are looking for people who love to stay on top of the latest and greatest technologies and patterns. We need our engineers to be versatile, display leadership qualities and be enthusiastic to tackle new problems as we continue to push our technology forward. OPPORTUNITY HIGHLIGHTS: Working on leading-edge automation frameworks such as Selenium, Cucumber and API Testing Working along with different squads to create and maintain a robust QA framework. Working with the developers to develop test strategy as a part of CI/CD Keep up to date on the latest industry trends in different Automation frameworks. Gathering requirements, automation design, technical leadership, support API automation capabilities. Engagements will include validating UAT for different areas of Testing. SKILLS & QUALIFICATIONS: 3+ years of overall Testing experience in Product development organization. Experience in Developing, Create, prioritize, and organize test cases into logical suites for execution for Web/mobile applications Able to write detailed test cases and clear and concise bug reports Familiarity with defect tracking systems and test management tools Experience with web technologies such as HTML5, CSS, and JavaScript is preferable Automation Experience in Selenium, Java, API, Cucumber, SOAPUI, Rest Assured Experience in working with DB queries (Added Advantage) Experience with code versioning tools, preferably Git ( Github , Gitlab etc.) Experience with automation tools like Npm , Webpack, Grunt, Bower etc. (Added Advantage) Experience working in an Agile/Scrum environment SUCCESS QUALITIES: Personally Accountable for Team Success. We unleash our edge together. Confident Achievers. We are bold. Intellectually Curious. We are sharp. Adaptable, Agile & Resilient. We are driven. Customer First. We are real.

Job Overview: We are seeking a detail-oriented and experienced Quality Assurance (QA) Engineer to join our team. You will be responsible for ensuring the performance, accuracy, and reliability of our AI conversational systems, including natural language processing (NLP), speech-to-text (STT), text-to-speech (TTS), and AI dialogue management. The ideal candidate should have strong analytical skills, a deep understanding of AI testing methodologies, and experience working with AI-driven conversational interfaces. Key Responsibilities: Develop, and execute comprehensive test plans and test cases for AI conversational systems, ensuring all functional and non-functional requirements are met. Conduct end-to-end testing of speech recognition (STT), natural language understanding (NLU), and response generation (NLG) within the AI platform. Perform manual and automated testing of conversational flows, including edge cases, error handling, and multi-turn dialogues. Validate the system’s ability to understand and process various user intents, entities, and languages. Test integrations between different components of the AI system, including third-party APIs, speech interfaces, and backend data systems. Ensure the quality and accuracy of voice output (TTS) and conduct thorough testing of speech quality across different platforms and devices. Identify and document bugs, performance issues, and user experience problems, and work closely with developers and AI engineers to resolve them. Monitor system performance and behavior under different conditions, including large-scale interactions and stress testing. Conduct regression testing after each update to ensure previous features remain functional and efficient. Collaborate with cross-functional teams (AI/ML engineers, product managers, and UI/UX designers) to define quality benchmarks and maintain continuous improvement in testing processes. Required Skills and Qualifications: 5-8 years experience and a Bachelor’s degree in Computer Science, Engineering, or a related field. Proven experience as a QA Engineer, preferably with exposure to AI/ML-based systems or conversational AI platforms. Familiarity with natural language processing (NLP), machine learning models, and speech technologies such as STT, TTS, and dialogue systems. Test Automation : Proficiency in Selenium, Appium, Cypress, Playwright, or Robot Framework for UI automation; PyTest, JUnit, TestNG for API testing. API Testing : Hands-on experience with Postman, RestAssured, or SoapUI to test AI APIs, ensuring smooth integration. Excellent problem-solving skills with a focus on quality and attention to detail. Experience in agile software development methodologies. Strong communication skills and the ability to work collaboratively in a team-oriented environment. Preferred Qualifications: Experience working with conversational AI platforms Familiarity with testing frameworks for AI models Knowledge of multilingual and multi-accent conversational testing. Understanding of user experience (UX) testing for voice interfaces. Experience in performance and load testing for AI systems.

Skillsoft is the global leader in eLearning. Trusted by the world's leading organizations, including 65% of the Fortune 500. Our 100,000+ courses, videos and books are accessed over 100 million times every month, across more than 100 countries. At Skillsoft, we believe knowledge is the fuel for innovation and innovation is the fuel for business growth. Join us in our quest to democratize learning and help individuals unleash their edge. Are you ready to shape the future of learning through cutting-edge AI? As a Principal AI/Machine Learning Engineer at Skillsoft, you’ll dive into the heart of innovation, crafting intelligent systems that empower millions worldwide. From designing generative AI solutions to pioneering agentic workflows, you’ll collaborate with multiple teams to transform knowledge into a catalyst for growth—unleashing your edge while helping others do the same. Join us in redefining eLearning for the world’s leading organizations! Responsibilities: Hands-on AI/ML software engineer Prompt engineering, agentic workflow development and testing Work with product owners to understand requirements and guide new features Collaborate to identify new feature impacts Evaluate new AI/ML technology advancements and socialize finding Research, prototype, and select appropriate COTS and develop in-house AI/ML technology Consult with external partners to review and guide development and integration of AI technology Collaborate with teams to design, and guide AI development, and enhancements Document designs and implementation to ensure consistency and alignment with standards Create documentation including system and sequence diagrams Create appropriate data pipelines for AI/ML training and inference Analyze, curate, cleanse, and preprocess data Utilize and apply generative AI to increase productivity for yourself and the organization Periodically explore new technologies and design patterns with proof-of-concept Participate in developing best practices and improving operational processes Present research and work to socialize and share knowledge across the organization Contribute to patentable AI innovations Environment, Tools & Technologies: Agile/Scrum Operating Systems – Mac, Linux JavaScript, Node.js, Python PyTorch, Tensorflow, Keras, OpenAI, Anthropic, and friends Langchain, Langgraph, etc. APIs GraphQL, REST Docker, Kubernetes Amazon Web Services (AWS), MS Azure SQL: Postgres RDS NoSQL: Cassandra, Elasticsearch (VectorDb) Messaging – Kafka, RabbitMQ, SQS Monitoring – Prometheus, ELK GitHub, IDE (your choice) Skills & Qualifications: (8+ years experience) Experience with LLMs and fine-tuning models Development experience including unit testing Design and documentation experience of new APIs, data models, service interactions Familiarity with and ability to explain: o system and API security techniques o data privacy concerns o microservices architecture o vertical vs horizontal scaling o Generative AI, NLP, DNN, auto-encoders, etc. Attributes for Success: Proactive, Independent, Adaptable Collaborative team player Customer service minded with an ownership mindset Excellent analytic and communication skills Ability and desire to coach and mentor other developers Passionate, curious, open to new ideas, and ability to research and learn new technologies

Job Overview: We are seeking a detail-oriented and experienced Quality Assurance (QA) Engineer to join our team. You will be responsible for ensuring the performance, accuracy, and reliability of our AI conversational systems, including natural language processing (NLP), speech-to-text (STT), text-to-speech (TTS), and AI dialogue management. The ideal candidate should have strong analytical skills, a deep understanding of AI testing methodologies, and experience working with AI-driven conversational interfaces. Key Responsibilities: Develop, and execute comprehensive test plans and test cases for AI conversational systems, ensuring all functional and non-functional requirements are met. Conduct end-to-end testing of speech recognition (STT), natural language understanding (NLU), and response generation (NLG) within the AI platform. Perform manual and automated testing of conversational flows, including edge cases, error handling, and multi-turn dialogues. Validate the system’s ability to understand and process various user intents, entities, and languages. Test integrations between different components of the AI system, including third-party APIs, speech interfaces, and backend data systems. Ensure the quality and accuracy of voice output (TTS) and conduct thorough testing of speech quality across different platforms and devices. Identify and document bugs, performance issues, and user experience problems, and work closely with developers and AI engineers to resolve them. Monitor system performance and behavior under different conditions, including large-scale interactions and stress testing. Conduct regression testing after each update to ensure previous features remain functional and efficient. Collaborate with cross-functional teams (AI/ML engineers, product managers, and UI/UX designers) to define quality benchmarks and maintain continuous improvement in testing processes. Required Skills and Qualifications: 5-8 years experience and a Bachelor’s degree in Computer Science, Engineering, or a related field. Proven experience as a QA Engineer, preferably with exposure to AI/ML-based systems or conversational AI platforms. Familiarity with natural language processing (NLP), machine learning models, and speech technologies such as STT, TTS, and dialogue systems. Test Automation : Proficiency in Selenium, Appium, Cypress, Playwright, or Robot Framework for UI automation; PyTest, JUnit, TestNG for API testing. API Testing : Hands-on experience with Postman, RestAssured, or SoapUI to test AI APIs, ensuring smooth integration. Excellent problem-solving skills with a focus on quality and attention to detail. Experience in agile software development methodologies. Strong communication skills and the ability to work collaboratively in a team-oriented environment. Preferred Qualifications: Experience working with conversational AI platforms Familiarity with testing frameworks for AI models Knowledge of multilingual and multi-accent conversational testing. Understanding of user experience (UX) testing for voice interfaces. Experience in performance and load testing for AI systems.

Job Overview: We are seeking a detail-oriented and experienced Quality Assurance (QA) Engineer to join our team. You will be responsible for ensuring the performance, accuracy, and reliability of our AI conversational systems, including natural language processing (NLP), speech-to-text (STT), text-to-speech (TTS), and AI dialogue management. The ideal candidate should have strong analytical skills, a deep understanding of AI testing methodologies, and experience working with AI-driven conversational interfaces. Key Responsibilities: • Develop, and execute comprehensive test plans and test cases for AI conversational systems, ensuring all functional and nonfunctional requirements are met. • Conduct end-to-end testing of speech recognition (STT), natural language understanding (NLU), and response generation (NLG) within the AI platform. • Perform manual and automated testing of conversational flows, including edge cases, error handling, and multi-turn dialogues. • Validate the system’s ability to understand and process various user intents, entities, and languages. Test integrations between different components of the AI system, including third-party APIs, speech interfaces, and backend data systems. • Ensure the quality and accuracy of voice output (TTS) and conduct thorough testing of speech quality across different platforms and devices. • Identify and document bugs, performance issues, and user experience problems, and work closely with developers and AI engineers to resolve them. • Monitor system performance and behavior under different conditions, including large-scale interactions and stress testing. • Conduct regression testing after each update to ensure previous features remain functional and efficient. • Collaborate with cross-functional teams (AI/ML engineers, product managers, and UI/UX designers) to define quality benchmarks and maintain continuous improvement in testing processes. Skills and Qualifications: • 5-8 years experience and a Bachelor’s degree in Computer Science, Engineering, or a related field. • Proven experience as a QA Engineer, preferably with exposure to AI/ML-based systems or conversational AI platforms. Familiarity with natural language processing (NLP), machine learning models, and speech technologies such as STT, TTS, and dialogue systems. • Test Automation: Proficiency in Selenium, Appium, Cypress, Playwright, or Robot Framework for UI automation; PyTest, JUnit, TestNG for API testing. • API Testing: Hands-on experience with Postman, RestAssured, or SoapUI to test AI APIs, ensuring smooth integration. • Excellent problem-solving skills with a focus on quality and attention to detail. • Experience in agile software development methodologies. • Strong communication skills and the ability to work collaboratively in a team-oriented environment. Preferred Qualifications: • Experience working with conversational AI platforms • Familiarity with testing frameworks for AI models • Knowledge of multilingual and multi-accent conversational testing. • Understanding of user experience (UX) testing for voice interfaces. • Experience in performance and load testing for AI systems

Sr.Analyst Instructional Designer (Tech Content Strategist) – Data Job Overview Are you a certified Data professional with a creative flair and a passion for content design? Join us to create impactful, learner-centered content that blends real-world expertise with engaging storytelling. As a Sr. Analyst – Tech Content Strategist, you will lead the end-to-end development of engaging, instructionally sound learning experiences in the Data domain. Acting as a subject matter expert (SME), you’ll translate complex frameworks into clear, outcome-focused content across digital formats. This role demands strong instructional design expertise, a deep understanding of learner needs, and the ability to creatively script and plan high-impact learning assets—from video courses to assessments. Job Responsibilities Own the content development lifecycle—plan, research, script, storyboard review, strategic video review and iterate—for Data Design creative and effective learning experiences grounded in instructional design principles, addressing diverse learner personas and real-world scenarios. Author and script engaging digital content, including on-demand videos, interactive walkthroughs/lessons, assessments, and job aids. Collaborate with visual designers, editors, and technical experts to bring content to life in a compelling and accessible format. Align content with industry certification frameworks (e.g., Microsoft Certified, CAP, Azure, Oracle, AWS, CompTIA) and learner performance outcomes. Apply learner-centered design by identifying learning gaps and tailoring content that improves retention, engagement, and job readiness. Utilize Generative AI tools to accelerate and enhance content ideation, scripting, and personalization while maintaining content quality. Ensure instructional consistency, voice, and quality across all course deliverables and formats. Optionally support bootcamps (virtual training delivery) and mentor junior content developers. Skills Required Minimum 5+ years of hands-on experience in data analytics, data visualization, or other data fields. Demonstrated experience in instructional design, especially in developing digital learning products from concept to delivery. Excellent scripting, writing, and communication skills; able to distill complex concepts into concise, engaging narratives. Strong creativity and storytelling ability with an understanding of how to structure content for different learning styles. Fluency with and experience in programming such as Python and SQL. Fluency and experience with data libraries such as NumPy, Pandas, Sci-kit Learn, Seaborn. Experience working with data technology and topics such as Tableau, PowerBI, Excel, Natural Language Processing, and Reinforcement Learning. Relevant certifications in Data. Preferred/Additional Skills: Familiarity with Generative AI tools like ChatGPT, Claude, or similar for content creation and enhancement. Training delivery experience (live/ virtual/ hybrid formats) is an added advantage. Understanding of instructional design models such as ADDIE, SAM, or Bloom’s Taxonomy. Experience in analyzing learner feedback and improving content based on performance and engagement data.

Job Overview Do you have a passion for technology and storytelling? Then, you would be the perfect fit as our next Technology Content Contributor! The Technology Content Contributor design and author content in terms of video based courses and interactive lessons. The Content contributor collaborates with Technology Content strategist to craft learning outcomes and build a compelling learner experience. Job Responsibilities Create and maintain a high-level plan for web-based or live training on a variety of technologies, including one or more of the following: AI/ML, DevOps, software development, cloud, security, data, networking and related technologies Create effective learning experience based on the learning plans that will achieve an ultimate end goal for the learner Design and review instructional content in addition to assessment questions. Conduct on-going research and development on specific discipline areas and utilize this information to enhance the learner’s learning experience. Skills Required Proficient in programming languages such as Python, R and Java Understanding of Machine Learning(ML) and deep learning (DL) Expertise in Data Management and processing, techniques of data wrangling, preprocessing, understanding of big data tools such as Hadoop or Apache Spark Strong Analytical and Mathematical skills. Strong time management and organizational skills; attention to detail and initiative Professional experience with technical or academic writing, particularly in a digital format

Principal Instructional Designer (Tech Content Strategist) – Infra & Ops Job Overview Are you a certified Infrastructure/DevOps professional with a creative flair and a passion for content design? Join us to create impactful, learner-centered content that blends real-world expertise with engaging storytelling. As a Principal Instructional Designer - Infrastructure, you will lead the end-to-end development of engaging, instructionally sound learning experiences in Infrastructure, DevOps, Networking, System Administration, Server Technologies, and containerization technologies, including Docker. Acting as a subject matter expert (SME), you'll translate complex technical frameworks and concepts into clear, outcome-focused content across digital formats. This role demands strong instructional design expertise, a deep understanding of learner needs, and the ability to creatively script and plan high-impact learning assets—from video courses to hands-on labs and assessments. Job Responsibilities Own the content development lifecycle—plan, research, script, storyboard review, strategic video review, and iterate—for Infrastructure, DevOps, containerization, networking, system administration, server technologies, and orchestration technologies. Design creative and effective learning experiences grounded in instructional design principles, addressing diverse learner personas and real-world infrastructure automation Author and script engaging digital content, including on-demand videos, interactive labs, walkthroughs/lessons, assessments, and job aids. Collaborate with visual designers, editors, and technical experts to bring content to life in a compelling and accessible format. Align content with industry certification frameworks (e.g., Docker Certified Associate, Kubernetes Administrator, DevOps Engineer) and learner performance outcomes Apply learner-centered design by identifying learning gaps and tailoring content that improves retention, engagement, and job readiness. Utilize Generative AI tools to accelerate and enhance content ideation, scripting, and personalization. Ensure instructional consistency, voice, and quality across all course deliverables and formats. Optionally support bootcamps (virtual training delivery) and mentor junior content developers Skills Required Minimum 8+ years of hands-on experience in Infrastructure/DevOps technologies, including practical exposure to content planning and development. Demonstrated experience in instructional design, especially in developing digital learning products from concept to delivery. Excellent scripting, writing, and communication skills; able to distil complex infrastructure, networking, system administration, and containerization concepts into concise, engaging narratives. Strong creativity and storytelling ability with an understanding of how to structure content for different learning styles. Experience working with infrastructure automation tools such as Docker, Kubernetes, Jenkins, Ansible, Terraform, network management systems, server administration tools, and similar CI/CD pipelines. Relevant certifications in Infrastructure/DevOps (e.g., Docker Certified Associate, CKA, AWS DevOps Engineer, Azure DevOps Engineer, CCNA, CCNP, CompTIA Network+, Server+, Linux+). Preferred/Additional Skills: Familiarity with Generative AI tools like ChatGPT, Claude, or similar for content creation and enhancement. Training delivery experience (live/ virtual/ hybrid formats) in infrastructure technologies. Understanding of instructional design models such as ADDIE, SAM, or Bloom’s Taxonomy. Experience in analyzing learner feedback and improving content based on performance and engagement data. Leadership experience in directing cross-functional teams for comprehensive infra & ops learning programs.

Catalog Content Contributor – Programming & Software Development Job Overview Are you a knowledgeable programmer or instructor with a creative flair and a passion for content design? Join us to create impactful, learner-centered content that blends real-world expertise with engaging storytelling. As a Catalog Content Contributor, you will work with the curriculum team to create engaging, instructionally sound learning experiences in the Programming & Software Development domain. Working with subject matter experts (SMEs), you’ll translate complex frameworks into clear, outcome-focused content across digital formats. This role demands instructional design expertise, a deep understanding of learner needs, and the ability to creatively script and plan high-impact learning assets—from video courses to assessments. Job Responsibilities Design creative and effective learning experiences grounded in instructional design principles, addressing diverse learner personas and real-world scenarios. Author and script engaging digital content, including on-demand videos, interactive walkthroughs/lessons, assessments, and job aids. Collaborate with visual designers, editors, and technical experts to bring content to life in a compelling and accessible format. Utilize Generative AI tools to accelerate and enhance content ideation, scripting, and personalization. Ensure instructional consistency, voice, and quality across all course deliverables and formats. Skills Required Excellent scripting, writing, and communication skills; able to distil complex concepts into concise, engaging narratives. Strong creativity and storytelling ability with an understanding of how to structure content for different learning styles. Fluency with and experience in at least one web framework such as ASP.NET, Django, or React. Fluency with and experience in programming languages such as C/C++, C#, Python, Java, and JavaScript. Experience with developer tools such as Git, GitHub, and the command line Preferred/Additional Skills: Familiarity with Generative AI tools like ChatGPT, Claude, or similar for content creation and enhancement. Understanding of instructional design models such as ADDIE, SAM, or Bloom’s Taxonomy. Fluency with and experience in multiple web frameworks such as ASP.NET, Django, and React.

Skillsoft is the global leader in eLearning. Trusted by the world's leading organizations, including 65% of the Fortune 500. Our 100,000+ courses, videos and books are accessed over 100 million times every month, across more than 100 countries. At Skillsoft, we believe knowledge is the fuel for innovation and innovation is the fuel for business growth. Join us in our quest to democratize learning and help individuals unleash their edge. This role is for an Application Engineer and Senior AI Software Developer that will support internal teams and clients in the scoping, design, development, and implementation of application integration solutions, while also focusing on AI product enhancements to optimize support delivery and accelerate support case deflection. This role combines the responsibilities of an Application Engineer and a Senior Software Developer, leveraging AI technologies to improve customer interactions and service efficiency. Responsibilities: Some knowledge and experience of AI/ML software engineering Work with product owners and curators to understand requirements and guide new features Collaborate to identify new feature impacts on existing services and teams Research, prototype, and select appropriate COTS and in-house technology and design Collaborate with team to design, develop, and occasionally enhance or maintain existing systems Document designs and implementation to ensure consistency and alignment with standards Create documentation including system and sequence diagrams Create appropriate data pipelines for AI/ML Utilize and apply generative AI for products and for daily productivity Periodically explore new technologies and design patterns with proof-of-concept Occasionally present research and work to socialize and share knowledge across the organization Lead solution design initiatives to facilitate the delivery of Skillsoft’s services to client audiences. Implement client application integration solutions Work closely with client account management teams to ensure customer satisfaction with integrated solutions Utilize expertise in Microsoft .NET/ASP, JSON, Java, PHP, SQL administration, MS IIS, Apache, Tomcat, and common Internet communication protocols Environment, Tools & Technologies : Agile/Scrum Operating Systems – Mac, Linux Python, JavaScript, Node.js React UI/UX LLMs (OpenAI GPT-X, Claude, embedding models) Vector indexing/database, RAG, Agents APIs GraphQL, REST Docker, Kubernetes Amazon Web Services (AWS), MS Azure OpenAI SQL (Postgres RDS), NoSQL (Cassandra, Elasticsearch) Messaging – Kafka, RabbitMQ, SQS GitHub, IDE (your choice) Windows Active Directory Microsoft Office Suite applications Experience in web-based application development using common programming languages (Microsoft .NET/ASP, JSON, Java, PHP, etc.) Skills & Qualifications: Post-secondary education in Information Technology or an equivalent combination of training and experience Minimum 6+ years of software engineering development experience, including 3 years in a Technical Support or Customer Service role for an e-business company, internet service provider, or software vendor Ability to design and document APIs, data models, service interactions Familiarity or experience with: React development JavaScript testing strategies – unit, integration, system system and API security techniques data privacy concerns microservices architecture vertical vs horizontal scaling Attributes for Success: Proactive, independent, adaptable, and collaborative team player Excellent analytical and troubleshooting skills Strong problem-solving and analytical skills, understanding of various data structures and algorithms Ability to design and document APIs, data models, and service interactions Customer service minded with an ownership mindset Innovative and problem-solving mindset, passionate, curious, and open to new ideas

We are seeking a skilled and proactive Power Automate Developer to join our team in Hyderabad. The ideal candidate will have a strong background in automation, with hands-on experience in both Power Automate for Desktop and Power Automate cloud flows. You will play a key role in transforming business processes through intelligent automation, working closely with stakeholders to deliver impactful solutions. KEY RESPONSIBILITIES Analyze existing business processes to identify automation opportunities. Collaborate with stakeholders to gather requirements and understand pain points. Design, develop, and deploy automation workflows using Power Automate (Desktop and Cloud). Build automation solutions for Windows-based, browser-based, and terminal-based applications. Optimize and streamline business workflows to improve operational efficiency. Ensure alignment of automation initiatives with organizational goals. Manage deployment across environments and provide post-deployment support. Stay updated with emerging technologies like AI and middleware integration, and contribute to their implementation. SKILLS & QUALIFICATIONS Required Skills & Expertise Proficiency in Power Automate for Desktop and Power Automate cloud flows. Strong understanding of API and database integrations. Experience in UI/browser automation, Windows automation, and Citrix automation. Familiarity with Azure resources, especially Key Vault. Knowledge of Power Platform governance best practices. Proficiency in at least one programming language: C#, Java, or Python. Working knowledge of VBA, Power Fx, and PowerShell. Strong analytical and problem-solving skills. Ability to manage multiple tasks and deliver high-quality results independently. Preferred Qualifications PL-500: Microsoft Power Automate RPA Developer certification. Experience with Power Apps and Dynamics 365. Exposure to middleware integration and administrative tasks.

Position Overview: The Senior QA Engineer validates software releases by maintaining high test coverage, integrating automation into CI/CD pipelines, and ensuring efficient defect detection and resolution. The ideal candidate has a strong background in automation, proficiency with industry tools, and attention to detail. Key responsibilities include developing automated test scripts, collaborating with development teams for integration, tracking defects, performing code reviews, and improving QA processes for stable software releases. Key Responsibilities: Develop and maintain automated test scripts with industry tools. Integrate automated testing into CI/CD pipelines. Identify, document, and track defects for timely resolution. Perform code reviews to enhance test coverage and quality. Design and implement test plans, strategies, and cases. Continuously improve QA processes and best practices. Ensure comprehensive test coverage for new and existing features. Qualifications & Skills: Bachelor’s degree in C omputer S cience / E ngineering , or related field. 5-8 years of experience in QA automation or software development. Strong understanding of QA methodologies and automation frameworks. Experience with Selenium, Playwright, Appium, TestNG, and API Testing . Familiarity with BrowserStack for cross-browser testing. Proficiency in Java, Javascript , SQL, CI/CD, JIRA, Git, and Jenkins . Excellent problem-solving skills and attention to detail.

Are you passionate about learning and intellectually curious? Do you thrive in a fast paced, innovative work environment where team members hold themselves and others accountable? Are you energized by trying new things, have an agile mindset and enjoy making an impact? At Skillsoft, we are all about making work matter. We believe every team member has the potential to be AMAZING. We are curious, agile and most of all, true. Join us in our quest to democratize learning and help individuals unleash their edge. Job Overview Do you have a passion for technology and storytelling? Then, you would be the perfect fit as our next Technology Content Contributor! The Technology Content Contributor design and author content in terms of video based courses and interactive lessons. The Content contributor collaborates with Technology Content strategist to craft learning outcomes and build a compelling learner experience. Job Responsibilities Create and maintain a high-level plan for web-based or live training on a variety of technologies, including one or more of the following: AI/ML, DevOps, software development, cloud, security, data, networking and related technologies Create effective learning experience based on the learning plans that will achieve an ultimate end goal for the learner Design and review instructional content in addition to assessment questions. Conduct on-going research and development on specific discipline areas and utilize this information to enhance the learner’s learning experience. Skills Required Excellent writing and communication skills required Fluency with and experience with AWS, Azure, GCP and cloud concepts Fluency and experience in cloud computing best practices and tools Familiarity with cloud platforms and services Ability to contribute in a team-oriented environment, exhibiting cooperation and team spirit, is necessary Strong time management and organizational skills; attention to detail and initiative Professional experience with technical or academic writing, particularly in a digital format Professional experience as a Machine Learning Engineer or equivalent role Success Qualities: Adaptable and Agile. Responds quickly to the changing needs of the business and is resilient in the face of setbacks or adversity. Confident & Audacious Achiever. Champions breakthrough initiatives and holds him/herself and others accountable for delivering. Enjoys working hard; is action-oriented and full of energy for the things he/she sees as challenging; not fearful of acting without over-analysis. Entrepreneurial Spirit with Learner’s Mindset. Is uncomfortable with simply maintaining "status quo" and is intellectually curious and demanding of excellence and continuous improvement. Committed to our Collective Purpose. Leverages cross functional collaboration to solve complex business issues and drive greater results. Authentic & Customer Centric. Never compromises integrity to achieve results while constantly being mindful of creating a positive customer experience both internally and externally. Adheres to an uncompromising set of core values and beliefs during both good and bad times; practices what he/she preaches. Acts with the highest standards of conduct and is seen as a direct, truthful individual.

We are looking for a forward-thinking Microsoft Copilot Studio AI Engineer to join our growing innovation team. In this role, you will lead the design, development, and deployment of intelligent agents using Microsoft Copilot Studio and Azure AI tools . You will work closely with cross-functional teams to automate business workflows, boost productivity, and deliver outstanding user experiences across platforms like Microsoft 365, Salesforce, Workday, Dynamics 365, and more. This position offers the opportunity to shape enterprise-wide AI transformation by combining low-code/no-code tools with advanced AI orchestration using Azure AI Studio, Foundry, and OpenAI. ** Shortlisted candidates will participate in a 2-hour interview round , including a presentation of their real-world AI or Agentic AI project experience , with a focus on agent design, prompt engineering, and enterprise impact. KEY RESPONSIBILITIES Collaborate with stakeholders to identify business needs and define Copilot use cases. Design, build, and optimize intelligent agents using Microsoft Copilot Studio, Azure AI Studio, and Azure AI Foundry. Integrate agents into enterprise ecosystems such as Microsoft 365, Power Platform, Salesforce, Workday, and others via APIs and connectors. Deploy agents across channels, including Microsoft Teams, Slack and web. Enhance automation using Azure Logic Apps, Azure Functions, and Azure Cognitive Services. Monitor and analyze performance using Azure Monitor, Application Insights, and feedback telemetry. Design human-in-the-loop (HITL) workflows to support accuracy, compliance, and trust. Apply Responsible AI principles in development, testing, and deployment processes. Build reusable templates, connectors, and governance frameworks for agent scalability. Stay current with Microsoft Copilot platform updates and industry best practices. Rapidly prototype and iterate in sandbox environments to test new agent capabilities. SKILLS & QUALIFICATIONS - Required Skills & Expertise Core Engineering Skills Proven hands-on experience with Microsoft Copilot Studio, Power Platform, and Azure AI services. Experience building solutions with Azure AI Foundry, Azure OpenAI, and Cognitive Services. Solid programming background in C#, JavaScript, Python, or equivalent. Proficiency with large datasets and BI tools for telemetry and feedback integration. AI/LLM Expertise Proficient in working with large language models (LLMs), including prompt engineering, fine-tuning, and evaluation using established AI benchmarking frameworks. Deep understanding of agent orchestration patterns, including memory management, feedback loops, tool use, and human-in-the-loop (HITL) systems. Experience designing and deploying intelligent copilots using Azure AI Studio or Copilot Studio, with a focus on grounding, safety, and user experience. Enterprise Integration Experience integrating with enterprise systems such as Salesforce, Workday, and Microsoft 365. Knowledge of API development, RBAC, data governance, and enterprise-grade security. Preferred Qualifications Experience with Microsoft 365 Copilot, Copilot connectors, and multi-channel AI deployments. Understanding of conversational UX, agent lifecycle management, and middleware integration. Microsoft certifications such as PL-500, AI-102, or Power Platform Solution Architect. Bachelor's degree in computer science, Engineering, or a related technical discipline.

We are seeking a proactive and detail-oriented engineer to join our Integration & Automation Operations team. You will be responsible for supporting the daily health, performance, and stability of our integration (Workato) and automation (Power Automate) platforms. You will be responsible for monitoring workflows, resolving incidents, and driving continuous improvement across mission-critical systems. Your work will help surface key operational insights, reduce recurring issues, and ensure seamless automation delivery. KEY RESPONSIBILITIES Monitor and validate daily automation and integration workflows using standard checklists and dashboards. Provide Level 1 support for incidents: troubleshoot, resolve minor issues, and escalate where necessary. Manage support tickets via ITSM tools (Freshservices & Jira) and ensure timely resolution and documentation. Conduct periodic health checks and audits of automation and integration environments. Identify recurring issues and perform root cause analysis to drive long-term solutions. Collaborate with developers and stakeholder to enhance automation reliability and user experience. Develop and maintain dashboards and reports to surface key metrics and operations trends. Support deployment, versioning, and change management processes. Maintain and improve documentation including runbooks and integration procedures. Streamlining integration and automation operational activities with a focus on scalability and resilience. Required Skills & Expertise 3–5 years in automation/integration operations or IT support roles. Hands-on experience with Workato and Microsoft Power Automate (cloud and desktop flows). Familiarity with integration patterns, token/credential renewal, error handling, and retry logic. Working knowledge of Desktop UI automation, work queues, and Azure Key Vault. Strong troubleshooting and analytical skills. Excellent communication and stakeholder engagement. Willingness to work in shifts or on-call rotations as needed. Preferred Qualifications Experience with enterprise integration platforms and automation frameworks. Knowledge of Windows Server, VDI environments, and automation agent management. Exposure to agile methodologies and DevOps practices. Understanding of API/webhook-based integrations and automation governance.

In this role you will be joining the Enterprise Data Solutions team, within the Digital & Information Technology organization. Driven by a passion for operational excellence and innovation, we partner with all functional groups to provide the expertise and technologies which will enable the company to digitalize, simplify, and scale for the future. We are seeking an experienced Sr. Data Engineer to join our Enterprise Data Solutions team. The ideal candidate will have a strong background in data engineering, data analysis, business intelligence, and data management. This role will be responsible for the ingestion, processing, and storage of data in our Azure Databricks Data Lake and SQL Server data warehouses. OVERVIEW: The Enterprise Data Solutions team provides Skillsoft with the data backbone needed to seamlessly connect systems and enable data-driven business insights through democratized and analytics-ready data sets. Our mission is to: Deliver analytics-ready data sets that enhance business insights, drive decision making, and foster a culture of data-driven innovation. Set a gold standard for process, collaboration, and communication. OPPORTUNITY HIGHLIGHTS: Lead the identification of business data requirements, create data models and design processes that align to the business logic and regularly communicate with business stakeholders to ensure delivery meets business needs. Design ETL processes, develop source-to-target mappings/integration workflows and manage load processes to support regular and ad hoc activities considering the needs of down-stream systems, functions and visualizations. Work with the latest open-source tools, libraries, platforms and languages to build data products enabling other analysts to explore and interact with large and complex data sets Build robust systems and reusable code modules to solve problems across the team and organization with an eye on the long-term maintenance and support of the application Perform routine testing of own and others’ work to guarantee accurate, complete processes that support business needs. Awareness and compliance with all organizational development standards, industry best practices and business, security, privacy, and retention requirements. Routinely monitor performance, diagnose and implement tuning/optimization strategies to guarantee a highly efficient data structure. Collaborate with other engineers through active participation in code reviews and challenge the team to deliver with precision, consistency and speed. Document data flows and technical designs to ensure compliance with organization, business and security best practices. Regularly monitor timelines and workload. Ensure delivery promises are met or exceeded. Ability and willingness to support the BI mission through learning new technologies and supporting other projects as needed. Provides code reviews and technical guidance to the team. Collaborate closely with the SA and TPO and get the requirements and develop the enterprise solutions SKILLS & QUALIFICATIONS: Bachelor’s degree in quantitative field – engineering, finance, data science, statistics, economics, or other quantitative. 5+ years of experience in Data Engineering/Data Management space and working with enterprise level production data warehouses. 5+ years of experience in working with Azure Databricks 5+ years experience in SQL and PySpark Ability to work in an Agile methodology environment. Experience and interest in cloud migration/journey to the cloud for data platforms and landscape Strong business acumen, analytical skills, and technical abilities Practical problem-solving skills and ability to move complex projects forward.

At Skillsoft, we are all about making work matter. We believe every team member has the potential to be AMAZING. We are bold, sharp, driven and most of all, true. Join us in our quest to democratize learning and help individuals unleash their edge. OVERVIEW : To succeed in this challenging journey, we have set up multiple co-located teams across the globe (Hyderabad, US, Europe), embracing the scaled agile framework, a Micro Services approach combined with the DevOps model. We have passionate engineers working full time on this new platform in Hyderabad and it’s only the beginning. You will get a chance to work with brilliant people and some of the best development and design teams, in addition to working with cutting edge technologies such as Terraform, Crossplane, ArgoCD, Docker, Kubernetes, and AWS. In this role you will lead the charge in modernizing and standardizing our infrastructure practices. You’ll play a critical role in driving the adoption of scalable, repeatable, and reliable IaC solutions across the organization. This is not just a technical leadership role — it’s a strategic one. You will be at the forefront of empowering teams to ship faster, safer, and with greater confidence by removing infrastructure bottlenecks and paving the way for seamless delivery pipelines. OPPORTUNITY HIGHLIGHTS: Technical leadership: As a Principal Software Engineer, you will be responsible for technical leadership, providing guidance and mentoring to other team members, and ensuring that projects are completed on time and to the highest standards. Cutting-edge technology : Skillsoft is a technology-driven company that is constantly exploring new technologies to enhance the learning experience for their customers. As a Principal Software Engineer, you will have the opportunity to work with cutting-edge technology and help drive innovation. Agile environment : Skillsoft follows agile methodologies, which means that you will be part of a fast-paced, collaborative environment where you will have the opportunity to work on multiple projects simultaneously. Career growth: Skillsoft is committed to helping their employees grow their careers. As a Principal Software Engineer, you will have access to a wide range of learning and development opportunities, including training programs, conferences, and mentorship. Impactful work: Skillsoft's mission is to empower people through learning, and as a Principal Software Engineer, you will be a key contributor to achieving this mission. You will have the opportunity to work on products and features that have a significant impact on the learning and development of individuals and organizations worldwide. SKILLS & QUALIFICATIONS: Minimum 9+ years of software engineering development, DevOps, or infrastructure engineering experience developing cloud-based enterprise solutions Proven experience designing and implementing scalable, automated infrastructure solutions Strong understanding of CI/CD pipelines and release engineering Proficient in programming languages (Java, JavaScript, python) Proficient with Kubernetes (Spring Boot, Stream processing) Strong knowledge working with REST API, Web services and SAML integrations Proficient in working with databases preferably Postgres Experienced working on DevOps tools (Docker, Kubernetes, Ansible, AWS) Experience with code versioning tools, preferably Git (Github, Gitlab, etc) and the feature branch workflow Sound knowledge on design principles and design patterns Strong problem solving and analytical skills. Must know how to work on Unix/Linux based systems. Sound troubleshooting skills to address code bugs, performance issues and environment issues that may arise. Good understanding of the common security concerns of high volume publicly exposed systems Experience in working with Agile/Scrum environment. Strong analytical skills and the ability to understand complexities and how components connect and relate to each other Bonus Points for: Experience with service mesh technologies (e.g., Istio, Linkerd) Experience working in a regulated or high-compliance environment OUR VALUES WE ARE PASSIONATELY COMMITTED TO LEADERSHIP, LEARNING, AND SUCCESS. WE EMBRACE EVERY OPPORTUNITY TO SERVE OUR CUSTOMERS AND EACH OTHER AS: ONE TEAM OPEN AND RESPECTFUL CURIOUS READY TRUE

We are seeking a passionate technology enthusiast with a strong background in ensuring the delivery of high-quality software applications. If you thrive in a dynamic, fast-paced environment where accountability and creativity are valued, then this opportunity might be the right fit for you. We are looking for an experienced QA Engineer to join our dynamic team. As a Senior QA Engineer, you will be an integral part of our agile scrum development process, leading automation efforts within the sprint and ensuring the robustness of our diverse Software-as-a-Service (SaaS) and custom applications. If ensuring software quality is your forte, we are eager to connect with you. Key Responsibilities: Play a key role in testing and validating software solutions and deployment to ensure high quality releases. Partner closely with cross-functional teams including software engineers, data integration engineers, and product owners to drive application reliability and performance. Lead QA efforts throughout the application lifecycle by leveraging modern automation frameworks and tools. Gather testing requirements, design and implement automation solutions, provide technical leadership, and support API automation capabilities. Develop, maintain and execute test cases for functional, regression, and end-to-end testing using a test case management repository. Advocate for quality across the software development lifecycle by promoting Test Driven Development (TDD) and Continuous Testing within a DevOps environment. Skills & Qualifications: A degree in Computer Science, Engineering, or equivalent work experience. At least 5 years of testing experience. Experience with test automation development using Java, Selenium, and JavaScript (desired). Experience with test automation development using AccelQ (preferred). Proficiency in business processes and web-based application testing. Experience with GUI, API, and back-end database verification in test automation design and development. Capacity to write thorough test cases and succinct bug reports. Proven experience in creating detailed and well-structured test strategies and plans. Familiarity with code versioning tools, preferably Git. Experience working in an Agile/Scrum environment. Ability to review functional and technical documentation to identify requirements. Experience testing Salesforce, SAP, Dynamics or Workday platforms is a plus. Familiarity with TDD & BDD testing methodologies. Excellent communication skills. Scripting and Python skills (preferred).