Job Title : AI/ML & Data Science Roles - GenAI, ML, NLP Experts Locations : Chennai & Gurgaon/NCR Experience : 5 to 8 Years Open Positions : 9 Job Type : Full-Time | Hybrid / On-Site About The Role We are seeking skilled and motivated AI/ML professionals with a strong background in Data Science, Machine Learning, and Generative AI. The ideal candidates will have experience in designing, building, and deploying scalable AI/ML models and frameworks for solving real-world business problems across financial and enterprise domains. You will collaborate with cross-functional teams, including product, engineering, and strategy, to develop AI solutions that create measurable impact. Key Responsibilities (may vary slightly based on role level) : Design and develop advanced ML/GenAI models using Python, TensorFlow, PyTorch, or similar frameworks. Work on Generative AI models including LLMs, Transformers, prompt engineering, fine-tuning, and evaluation. Lead or contribute to end-to-end ML lifecycle : data collection, preprocessing, feature engineering, modeling, deployment, and monitoring. Apply NLP, computer vision, or time series modeling techniques based on project requirements. Develop reusable AI/ML frameworks, pipelines, and APIs. Collaborate with business stakeholders to identify opportunities for AI/ML intervention. Interpret model results, generate insights, and communicate findings to both technical and non-technical audiences. Ensure compliance with model governance, risk management, and ethical AI practices. Preferred Qualifications (All Roles) Bachelor's/Master's/PhD in Computer Science, Data Science, Engineering, Statistics, or related fields. 5 to 8 years of hands-on experience in ML/AI/Data Science. Proficiency in Python, Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Experience with SQL and cloud platforms (AWS, Azure, or GCP). Strong understanding of ML algorithms, model evaluation metrics, and deployment strategies. Exposure to GenAI concepts including transformers, embeddings, LLM APIs (OpenAI, Cohere, Anthropic, etc.) Excellent problem-solving and communication skills. Strong publication record or innovative project portfolio in NLP, deep learning, or GenAI. (ref:hirist.tech) Show more Show less

Job Title : MuleSoft Administrator Experience : 5+ Years Location : Hyderabad (Hybrid/Onsite) Employment Type : Full-Time Job Summary We are seeking an experienced MuleSoft Administrator to manage, configure, and maintain the MuleSoft Anypoint Platform, ensuring seamless integration solutions for our clients. The ideal candidate will have extensive experience in monitoring, troubleshooting, and optimizing MuleSoft environments, as well as ensuring the overall health and performance of MuleSoft applications. Key Responsibilities Platform Administration : Administer, configure, and maintain the MuleSoft Anypoint Platform (CloudHub, Anypoint Studio, and Mule runtime engine) across different environments (dev, test, and production). Deployment & Monitoring : Handle deployments, updates, and monitoring of MuleSoft applications. Ensure uptime and performance for mission-critical integrations. Troubleshooting : Troubleshoot and resolve any issues related to the MuleSoft platform, including integration, connectivity, and performance issues. Security & Compliance : Implement and manage security policies for API and integration layers, including access controls, encryption, and logging. Performance Optimization : Monitor system performance and perform necessary tuning, including memory, CPU usage, and application logs to maintain optimum system performance. Version Management : Manage versioning and patching of MuleSoft components and integrations to ensure that the environment is up to date. Documentation & Reporting : Maintain technical documentation related to configuration, performance, and troubleshooting guides. Generate and analyze regular reports on platform usage and performance. Collaboration : Work closely with MuleSoft developers, architects, and QA teams to ensure seamless integration and deployment processes. Backup and Disaster Recovery : Implement and test backup and disaster recovery procedures for MuleSoft environments. Required Skills 5+ years of experience in managing MuleSoft environments and Anypoint Platform. Proficient in Anypoint Platform administration, including CloudHub, API Manager, and Anypoint Exchange. Solid experience with MuleSoft runtime engines (Mule 3 and Mule 4), including clustering, load balancing, and high-availability configurations. Strong understanding of API lifecycle management, including monitoring and securing APIs using Anypoint API Manager. Experience in configuring, deploying, and maintaining MuleSoft applications on CloudHub and on-premise environments. Proficient in CI/CD tools and processes (e.g., Jenkins, Maven). Hands-on experience with logging and monitoring tools (e.g., Splunk, ELK Stack, Anypoint Monitoring). Knowledge of cloud platforms (AWS, Azure, GCP) and associated services is a plus. Strong problem-solving and troubleshooting skills in high-pressure environments. Knowledge of security frameworks like OAuth2, SSL, SSO for MuleSoft integrations. Preferred Qualifications MuleSoft Certified Platform Architect or MuleSoft Certified Developer certification. Hands-on experience with DevOps tools and processes. Familiarity with Docker and Kubernetes for container-based deployments. Exposure to working in an Agile/Scrum environment. Experience with network protocols (HTTP, JMS, MQ, FTP) and understanding of integration best practices. (ref:hirist.tech) Show more Show less

Job Title : Google-Certified Engineer Location : Open Location Type : Full-time Experience Level : Senior-Level Notice Period : Maximum 30 Days Job Summary We are looking for a Google-Certified Engineer with expertise in Google Cloud technologies, certified in one or more professional-level Google Cloud certifications. The ideal candidate will be responsible for designing, implementing, and optimizing cloud-based solutions across multiple domains, including architecture, security, DevOps, data engineering, machine learning, and networking. Key Responsibilities Design and implement scalable, secure, and high-performance cloud solutions on Google Cloud Platform (GCP). Work on cloud infrastructure, automation, and DevOps best practices for CI/CD pipelines. Develop and optimize cloud databases, data pipelines, and AI/ML models. Ensure network security, compliance, and risk mitigation across cloud deployments. Architect and deploy highly available cloud networks and security frameworks. Collaborate with cross-functional teams for cloud migrations, automation, and AI/ML implementations. Troubleshoot and optimize cloud applications for cost efficiency, security, and performance. Required Certifications (Any of the following Google Cloud Certifications) : Professional Cloud Architect Professional Cloud Database Engineer Professional Cloud Developer Professional Cloud DevOps Engineer Professional Cloud Network Engineer Professional Cloud Security Engineer Professional Data Engineer Professional Machine Learning Engineer SecOps Tech Credential Maps Technical Credential Certification IDS : CERT-P-CA CERT-P-CDBE CERT-P-CD CERT-P-CNE CERT-P-CSE CERT-P-DE CERT-P-CDE CERT-P-MLE CERT-T-STC CERT-T-MDV Required Skills & Experience 4+ years of experience in Google Cloud Platform (GCP). Strong hands-on experience with GCP services like Compute Engine, Kubernetes Engine, BigQuery, Cloud SQL, Cloud Spanner, IAM, Cloud Run, Cloud Functions, etc. Expertise in Terraform, Kubernetes, Docker, CI/CD, and Infrastructure as Code (IaC). Proficiency in Python, Java, or Go for cloud-based development. Strong understanding of networking, cloud security, and IAM policies. Experience in AI/ML, data engineering, or cloud automation is a plus. Good knowledge of Google Cloud best practices, cost optimization, and performance tuning. Preferred Qualifications Experience in financial services, fintech, or regulated industries is a plus. Hands-on expertise in logging, monitoring, and security compliance frameworks. Excellent problem-solving skills and ability to work in cross-functional teams. (ref:hirist.tech) Show more Show less

Job Title : Machine Learning Engineer / Data Scientist (NLP & Gen AI) Location : Delhi, Mumbai, Hyderabad, Chennai Experience : 4+ years Employment Type : Full-time Job Description We are seeking a skilled Machine Learning Engineer / Data Scientist with expertise in Natural Language Processing (NLP), Data Science, and Generative AI. The ideal candidate should have hands-on experience in ML algorithm development, evaluation metrics, Python code testing, and Pandas operations. You will be responsible for designing, implementing, and optimizing AI/ML models to drive data-driven decision-making. Key Responsibilities Develop and deploy ML models, focusing on NLP and Generative AI applications. Design and evaluate ML algorithms using appropriate evaluation metrics. Optimize data pipelines and perform data preprocessing using Pandas and other Python libraries. Implement and test Python-based ML applications with a focus on code quality and performance. Conduct model training, hyperparameter tuning, and performance benchmarking. Collaborate with cross-functional teams to integrate ML solutions into real-world applications. Stay updated with the latest AI/ML advancements and implement best practices. Required Skills NLP & Generative AI : Experience with transformers, LLMs, and language modeling techniques. Machine Learning Concepts : Strong understanding of algorithms and evaluation metrics. Python Development : Expertise in code testing, debugging, and optimization. Data Science & Pandas Operations : Ability to manipulate and analyze structured/unstructured data. ML Model Deployment : Experience with model serving, API development, or cloud platforms is a plus. Version Control & CI/CD : Familiarity with Git, Docker, and ML workflow automation. Preferred Qualifications Experience with Hugging Face, TensorFlow, PyTorch, or Scikit-learn. Knowledge of LLMs, embeddings, and fine-tuning pre-trained models. Understanding of MLOps and cloud-based ML solutions (AWS, GCP, Azure). Ability to write clean, maintainable, and efficient code. (ref:hirist.tech) Show more Show less

Job Title : Generative AI Specialist / Senior AI Engineer Location : NCR (Gurugram) / Chennai, India Experience : 58 years total, with minimum 1 year hands-on in Generative AI About The Role We are looking for a passionate and experienced AI professional to join our AI/ML team. As a Generative AI Specialist, you will work on cutting-edge projects that involve building, fine-tuning, and deploying LLMs and generative models for real world applications in areas such as customer service, content generation, and intelligent automation. Key Responsibilities Design and implement Generative AI solutions using LLMs (e.g., GPT, LLaMA, Mistral, Claude). Fine-tune and deploy foundation models using frameworks like Hugging Face, LangChain, or custom pipelines. Work closely with product, design, and engineering teams to integrate GenAI solutions into products. Optimize models for performance, scalability, and latency. Develop evaluation frameworks to measure output quality, relevance, and safety. Stay updated with the latest in GenAI, foundation models, and responsible AI practices. Collaborate in building reusable components, frameworks, and services for GenAI use cases. Required Qualifications 58 years of total experience in software engineering / AI / data science. Minimum 1 year of hands-on experience with Generative AI (e.g., prompt engineering, LLM fine-tuning, RAG, embeddings). Strong experience with Python, PyTorch or TensorFlow, and GenAI libraries like Transformers, LangChain, LlamaIndex, or similar. Experience with cloud platforms (AWS, Azure, or GCP) for model deployment and MLOps. Exposure to NLP tasks like summarization, Q&A, chatbots, and semantic search. Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate). Preferred Skills Experience with Retrieval-Augmented Generation (RAG) pipelines. Understanding of Responsible AI, privacy, and model governance. Background in finance, healthcare, or enterprise AI products is a plus. Contributions to open-source GenAI projects or published research papers. (ref:hirist.tech) Show more Show less

Job Title : AI Engineer (Generative AI) Experience : 5-6 years overall, with a minimum of 1.5 years in Generative AI Location : Delhi Job Type : Full-time About the Role: We are looking for an experienced AI Engineer with a strong background in artificial intelligence and machine learning, particularly in Generative AI. The ideal candidate will have a deep understanding of deep learning models, natural language processing, and large language models (LLMs). This role involves designing, developing, and deploying AI solutions, optimizing model performance, and integrating AI into real-world applications. Key Responsibilities Design, develop, and deploy AI/ML models, with a focus on Generative AI applications. Research and implement state-of-the-art techniques in generative modeling (GANs, VAEs, Transformers, Diffusion Models, etc.). Fine-tune and optimize large language models (LLMs) for specific tasks. Work with unstructured data, including text, images, and audio, to build multi-modal AI solutions. Develop scalable AI pipelines and integrate models into production environments. Collaborate with cross-functional teams, including data engineers, software developers, and product managers. Ensure compliance with AI governance, ethical AI principles, and data privacy regulations. Stay up to date with the latest advancements in AI/ML and contribute to research initiatives. Required Skills And Qualifications 5-6 years of overall experience in AI/ML, with at least 1.5 years of hands-on experience in Generative AI. Strong proficiency in Python and experience with AI/ML frameworks such as TensorFlow, PyTorch, or JAX. Experience in building, fine-tuning, and deploying LLMs and generative models. Knowledge of prompt engineering, reinforcement learning from human feedback (RLHF), and model optimization techniques. Familiarity with cloud-based AI/ML platforms (AWS, Azure, GCP) and MLOps best practices. Experience with NLP, computer vision, and multi-modal AI models. Strong problem-solving skills and ability to work in a fast-paced environment. Excellent communication and collaboration skills. Preferred Qualifications Experience in AI applications for the financial sector, healthcare, or other regulated industries. Knowledge of AI compliance, governance frameworks, and responsible AI principles. Familiarity with APIs, microservices, and deployment strategies for AI-powered applications. Experience contributing to open-source AI projects or publishing research papers. (ref:hirist.tech) Show more Show less

Job Title : Gen AI / ML Data Scientist Location : Gurugram / Chennai (Hybrid or Onsite) Experience : 46 years Employment Type : Full-time Job Summary We are looking for an experienced Data Scientist with strong expertise in Generative AI and Machine Learning to join our team. The ideal candidate will have hands-on experience in building, deploying, and optimizing AI/ML models for various real-world use cases, especially in GenAI (LLMs, Transformers, Diffusion Models, Responsibilities : Design and develop ML/AI models including but not limited to supervised, unsupervised, NLP, and Gen AI techniques. Build and fine-tune LLM-based solutions (e.g., GPT, BERT, LLaMA) for enterprise applications like chatbots, summarization, information extraction, etc. Conduct data preprocessing, feature engineering, and model evaluation using appropriate ML/AI techniques. Collaborate with data engineers, MLOps, and product teams to deploy models in production. Conduct research and stay up to date on emerging trends in Gen AI and ML. Work on Prompt Engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases. Present findings and insights to business stakeholders and non-technical Skills & Experience : 5 years of experience in Data Science, ML, and AI. Strong experience with Generative AI frameworks (OpenAI, Hugging Face Transformers, LangChain, LlamaIndex, etc.). Proficiency in Python, with experience in libraries like Scikit-learn, TensorFlow/PyTorch, pandas, NumPy, etc. Experience working with LLMs, vector databases (e.g., FAISS, Pinecone), and large datasets. Familiarity with cloud platforms like AWS, GCP, or Azure for AI/ML model deployment. Good understanding of MLOps pipelines, CI/CD for ML, and model monitoring. Strong problem-solving and communication to Have : Knowledge of diffusion models, image/video generation, or multimodal models. Experience with data visualization tools (e.g., Tableau, Power BI, Plotly). Domain knowledge in BFSI, healthcare, or retail is a Qualification : Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or a related field. (ref:hirist.tech) Show more Show less

Job Title : Gen AI / ML Data Scientist Location : Gurugram / Chennai (Hybrid or Onsite) Experience : 46 years Employment Type : Full-time Job Summary We are looking for an experienced Data Scientist with strong expertise in Generative AI and Machine Learning to join our team. The ideal candidate will have hands-on experience in building, deploying, and optimizing AI/ML models for various real-world use cases, especially in GenAI (LLMs, Transformers, Diffusion Models, Responsibilities : Design and develop ML/AI models including but not limited to supervised, unsupervised, NLP, and Gen AI techniques. Build and fine-tune LLM-based solutions (e.g., GPT, BERT, LLaMA) for enterprise applications like chatbots, summarization, information extraction, etc. Conduct data preprocessing, feature engineering, and model evaluation using appropriate ML/AI techniques. Collaborate with data engineers, MLOps, and product teams to deploy models in production. Conduct research and stay up to date on emerging trends in Gen AI and ML. Work on Prompt Engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases. Present findings and insights to business stakeholders and non-technical Skills & Experience : 5 years of experience in Data Science, ML, and AI. Strong experience with Generative AI frameworks (OpenAI, Hugging Face Transformers, LangChain, LlamaIndex, etc.). Proficiency in Python, with experience in libraries like Scikit-learn, TensorFlow/PyTorch, pandas, NumPy, etc. Experience working with LLMs, vector databases (e.g., FAISS, Pinecone), and large datasets. Familiarity with cloud platforms like AWS, GCP, or Azure for AI/ML model deployment. Good understanding of MLOps pipelines, CI/CD for ML, and model monitoring. Strong problem-solving and communication to Have : Knowledge of diffusion models, image/video generation, or multimodal models. Experience with data visualization tools (e.g., Tableau, Power BI, Plotly). Domain knowledge in BFSI, healthcare, or retail is a Qualification : Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or a related field. (ref:hirist.tech)

About The Role We are seeking a highly skilled and experienced Senior Power BI Engineer to join our Data & Analytics team. You will play a pivotal role in designing, developing, and optimizing advanced Power BI reports and dashboards that empower business users with actionable insights. The ideal candidate will have deep expertise in Power BI, data modelling, and visualization, combined with a strong understanding of modern cloud data platforms, especially within the Azure ecosystem. Key Responsibilities Design, develop, and maintain scalable and high-performing Power BI reports and dashboards based on the Global Data Warehouse and Lakehouse environment. Collaborate closely with data engineers, data scientists, and business stakeholders to translate business requirements into technical BI solutions. Optimize Power BI datasets leveraging Azure Synapse Analytics and Databricks-processed data to ensure efficient query performance. Develop and maintain robust data models, DAX calculations, and custom visualizations in Power BI to deliver actionable insights. Implement best practices for report design, data security (Row-Level Security), and governance to ensure compliance and data integrity. Troubleshoot, debug, and resolve performance and data quality issues in Power BI reports and datasets. Mentor and provide technical guidance to junior BI developers and analysts. Stay up to date with the latest Power BI features and Azure Synapse ecosystem enhancements to continuously improve BI solutions. Support end-user training and documentation to promote self-service BI adoption. Required Qualifications Bachelor's or master's degree in computer science, Information Systems, Data Science, or a related field. 5+ years of experience in Power BI report development and data visualization. Strong proficiency in Power BI Desktop, Power Query (M), DAX, and Power BI Service. Hands-on experience with Azure Synapse Analytics, Azure Data Factory (ADF), and Databricks. Deep understanding of data warehousing concepts, dimensional modelling, and ETL/ELT processes. Experience optimizing performance of Power BI reports connected to large-scale data warehouses and lakehouses. Knowledge of security implementations within Power BI, including Row-Level Security (RLS) and workspace permissions. Strong SQL skills for data querying and debugging. Excellent problem-solving skills and ability to work effectively with cross-functional teams. Strong communication skills to engage with business users and technical teams. Preferred Qualifications Microsoft Power BI Certification (e.g., DA-100 / PL-300). Experience with other Azure data services (Azure Data Lake Storage, Azure Synapse Pipelines). Familiarity with Python or Spark for data processing in Databricks. Exposure to Agile development methodologies and CI/CD pipelines for BI. (ref:hirist.tech)

Job Title : Senior Data Engineer - Azure Stack We are looking for a highly skilled Senior Data Engineer with deep expertise in Azure Stack to join our growing team. As a Senior Data Engineer, you will be instrumental in designing and developing robust data pipelines, data lakes, and cloud-based solutions to support our business intelligence and analytics initiatives. You will work in a hybrid cloud environment to manage data services, ensuring high scalability, security, and performance for data-driven decision-making. Key Responsibilities Data Engineering : Design and implement scalable data pipelines, ETL workflows, and processing frameworks within Azure Stack and hybrid cloud environments. Cloud Architecture : Leverage the capabilities of Azure Stack, Azure Data Factory, Azure Synapse Analytics, and other Azure cloud services to integrate, manage, and optimize enterprise data solutions. Data Integration & Storage : Build and optimize data lakes, data warehouses, and cloud-based storage systems on Azure, integrating structured and unstructured data from multiple sources. Performance Optimization : Continuously improve data pipelines for performance, scalability, and cost-efficiency. Implement automation and monitoring solutions to ensure smooth operation. Cross-Functional Collaboration : Work closely with product managers, data scientists, and business intelligence teams to implement data models, data visualizations, and analytics solutions. Mentorship : Provide mentorship and technical leadership to junior engineers, helping them improve their skills in cloud data technologies, coding standards, and engineering best practices. Cloud Migration : Assist in the migration of on-premises data infrastructure to Azure Stack, working closely with infrastructure teams to ensure a seamless transition. Required Skills & Qualifications Experience : 3-8 years of experience in data engineering, with at least 2+ years of experience working specifically with Azure Stack and Azure cloud services in a hybrid environment. Azure Stack Expertise : Proficient in Azure Stack Hub, Azure Data Factory, Azure SQL Database, Azure Synapse Analytics, Azure Databricks, and Azure Blob Storage. Programming Skills : Proficiency in SQL, Python, or similar scripting languages for building data pipelines and processing large datasets. ETL Tools : Experience with building and optimizing ETL workflows using Azure Data Factory, Apache Airflow, or other similar tools. Data Integration : Experience working with data integration tools, including both structured and unstructured data sources, and technologies such as Kafka, Spark, Hadoop, or others. Data Warehousing & Storage : Strong understanding of data warehousing concepts (e.g., star/snowflake schemas) and expertise with Azure Data Lakes and SQL/NoSQL storage solutions. Big Data Technologies : Familiarity with big data technologies like Apache Hadoop, Apache Spark, Databricks, and Kafka is a plus. Soft Skills Excellent analytical and problem-solving abilities. Strong communication skills to articulate technical details to non-technical stakeholders. Ability to work collaboratively in a distributed team environment. Self-motivated, proactive, and able to work under minimal supervision. Strong attention to detail, ensuring data quality and security. (ref:hirist.tech)

Overview We are seeking an experienced SharePoint Expert to design, build, and deploy an internal data platform portal in SharePoint Online. This portal will serve as a central hub for explaining the architecture of an Azure-based data platform, documenting onboarded data sources, and integrating Power BI dashboards for business stakeholders. Key Responsibilities Design and develop a modern SharePoint Online portal to support a data platform initiative. Build and configure site structure, navigation, and pages aligned with data platform needs. Integrate Power BI reports using the Power BI web part with secure, role-based access. Build and manage SharePoint lists/libraries for tracking data sources, documentation, and updates. Work with the data engineering and analytics teams to embed architecture diagrams, documentation, and dashboards. Enable access request workflows using Power Automate or other tools. Ensure the portal is user-friendly, searchable, and secure based on Azure AD roles and SharePoint permissions. Implement version control, metadata tagging, and content governance best practices. Required Skills & Experience 5+ years of hands-on experience with SharePoint Online (Modern Experience). Strong skills in designing user-friendly intranet portals with modern web parts, lists, and libraries. Experience embedding Power BI dashboards within SharePoint. Proficient with Microsoft 365 tools : Power Automate, Power Apps, Teams, OneDrive. Understanding of permissions and security management in SharePoint and Azure AD. Familiarity with Azure ecosystem (Data Factory, Synapse, Data Lake, Purview, etc.) is a strong plus. Experience with document management, content structuring, and governance within SharePoint. Ability to collaborate with data engineers, analysts, and business teams to gather requirements and deliver a tailored portal. Preferred Qualifications Experience in data platforms or analytics environments. Knowledge of HTML/CSS, PowerShell, or SPFx is a bonus but not required. Microsoft 365 or SharePoint certifications (e.g., MS-600, MS-700). Soft Skills Strong communication and documentation skills Detail-oriented, with a focus on usability and clarity Ability (ref:hirist.tech)

We are looking for a Senior Cloud Engineer with deep expertise in cloud architecture, automation, and infrastructure-as-code (IaC) to join our growing engineering team. You will play a key role in designing, building, and maintaining scalable and secure cloud environments to support business-critical applications and data platforms. Key Responsibilities Design, implement, and manage cloud infrastructure using Azure / AWS / GCP (based on business requirements) Develop infrastructure as code (IaC) using tools like Terraform, ARM templates, CloudFormation, or Bicep Automate deployment processes, CI/CD pipelines, and monitoring for cloud-based applications Implement and manage networking, identity, storage, compute, and security in cloud environments Monitor cloud systems for performance, availability, and security risks; implement remediations Collaborate with DevOps, Security, and Development teams to build robust, scalable solutions Manage hybrid cloud setups, VPNs, ExpressRoute/VNet peering, and on-prem/cloud integrations Optimize cloud cost, performance, and usage through effective resource governance and automation Required Skills & Experience 510 years of experience in infrastructure/cloud engineering 3+ years of experience with Azure, AWS, or GCP in production environments (Azure preferred) Strong expertise in IaC (e.g., Terraform, ARM, CloudFormation, Pulumi, or similar) Proficiency with scripting and automation : PowerShell, Python, or Bash Experience with CI/CD tools (e.g., Azure DevOps, GitHub Actions, Jenkins) In-depth understanding of cloud networking, security, IAM/roles, firewall rules, load balancers Experience with containers, Kubernetes, or AKS/EKS/GKE is a plus Familiarity with monitoring tools (e.g., Azure Monitor, CloudWatch, Prometheus, Grafana) Strong problem-solving and incident resolution skills in cloud environments Preferred Qualifications Certifications : AZ-104, AZ-305, AWS Solutions Architect, or GCP Professional Cloud Engineer Experience working in regulated industries (e.g., finance, healthcare, etc.) Exposure to multi-cloud or hybrid cloud architectures Understanding of cloud governance, policies, tagging, and FinOps principles Soft Skills Strong communication and stakeholder collaboration skills Ability to lead and mentor junior engineers Work Mode : Hybrid (ref:hirist.tech)

Were Hiring | DevSecOps Engineer Location : Remote (India) Urgent Requirement Quick Closures Expected! Were on the lookout for a passionate and skilled DevSecOps Engineer / Security Analyst with 4+ years of experience for a leading publishing company. If you have expertise in cloud security, incident response, security automation, and scripting, this role is for you! Security Engineer/DevSecOps/ Experience : 4+ years Security Analyst (SOC) Security Automation for a Publishing Company Good Understanding of code security and web application security or systems like infra security Windows and Linux. Proven and Demonstrated passion for cyber security with at least 5+ Years of relevant experience. Good understanding of security operations, network security, threat intelligence, and incident response. SIEM configuration (particularly Qradar). Incident and alarm response procedures, engagement with operations teams to manage incidents. Experience/ Understanding of Cloud-based services (AWS), technologies, and providers (e.g., SaaS, IaaS, PaaS, etc.) Experience with writing queries, parsing, and correlating data. Technical understanding of PaloAlto, firewall, IDS/IPS, and Wildfire features The ability to perform analysis of log files from multiple devices and environments, and identify indicators of security threats. Strong understanding of parsing and analyzing web, system, and security logs Strong technical knowledge across a range of server and gateway platforms, including Linux/Unix/Windows/Mac Demonstrable knowledge of scripting/programming tools such as PowerShell, Python Understanding of VPN infrastructure, 2FA like Okta Deep understanding of network protocols and security: TCP/IP, UDP, DHCP, FTP, SFTP, SNMP, SMTP, SSH, SSL, VPN, RDP, HTTP, and HTTPS. Familiar with YARA, STIX, TAXII, and OpenIOC for any threat intelligence. Excellent verbal and written communication skills; ability to articulate technical knowledge to non-technical audiences; production of policy/standards/project documentation Knowledge of data leakage prevention tools DLP/CASB/Web security is an add on Having a certification background in any one of GCIH, GCIA, GPEN, OSCP or other relevant certifications within Cyber Security is highly advantageous. VM scanning Qualys is good to have. Experience in handling phishing attacks using Proofpoint, CLEAR, TRAP, and TAP. Experience in EDR solutions, simulating setups like kali-Linux. Experience in Web security CDN Cloudflare/Akamai/Cloudfront or any WAF. (ref:hirist.tech)