Cloud Engineer Job Vacancies in Bangalore

Key Responsibilities: Cloud EngineerDesign, implement, and manage CI/CD pipelinesAutomate deployments and infrastructure using tools like Terraform/AnsibleMonitor system performance and ensure high availabilityRequirements:Experience with AWS/AzureKnowledge of Docker, Kubernetes, and scriptingStrong problem-solving skillsBrief Summary:Responsible for automating and optimizing cloud infrastructure and deployment processes.

We are looking for a skilled DevOps Engineer with 6 to 12 years of experience to join our team in Bangalore. In this full-time role, you will collaborate with software developers and system operators to streamline processes for the development, deployment, and maintenance of applications.Key Responsibilities:- **Automation of Processes**: Design and implement automation tools to improve development workflows, ensuring consistency and reducing manual effort in deployments.- **Continuous Integration and Deployment (CI/CD)**: Set up CI/CD pipelines that allow for quick and reliable code integration and deployment, enhancing the speed of development cycles.- **Monitoring and Performance Optimization**: Monitor system performance and troubleshoot any issues that arise, ensuring high availability and efficiency of applications in production.- **Collaboration with Development Teams**: Work closely with developers to understand their needs and help design infrastructure that supports smooth software deployment and scaling.- **Security Management**: Implement security measures and monitor compliance protocols to safeguard infrastructure and protect sensitive data.Required Skills and Expectations:The ideal candidate should possess strong expertise in automation tools like Jenkins, Docker, or Kubernetes. Proficiency in scripting languages such as Python or Bash is essential. A solid understanding of cloud platforms (AWS, Azure, or Google Cloud) and infrastructure as code (IaC) tools, like Terraform, is important. Excellent problem-solving skills and the ability to work collaboratively in a team setting are crucial. Candidates should demonstrate strong communication skills and a commitment to continuous learning and improvement in DevOps practices.

Design, build, and maintain ETL/ELT data pipelines and data lake solutions to support analytics and AI/ML use cases. Ensure data quality, performance, and reliability across enterprise data platforms.Key ResponsibilitiesPipeline DevelopmentData Lake EngineeringPerformance & OptimizationCollaboration & SupportRequired Skills & Experience 4+ years of experience in data engineering or ETL development. Proficiency in SQL and Python (or Scala/Java) for data transformations. Hands-on with ETL tools (Informatica, Talend, dbt, SSIS, Glue, or similar). Exposure to big data technologies (Hadoop, Spark, Hive, Delta Lake). Familiarity with cloud data platforms (AWS Glue/Redshift, Azure Data Factory/Synapse, GCP Dataflow/BigQuery). Understanding of workflow orchestration (Airflow, Oozie, Prefect, or Temporal).Preferred Knowledge Experience with real-time data pipelines using Kafka, Kinesis, or Pub/Sub. Basic understanding of data warehousing and dimensional modeling. Exposure to containerization and CI/CD pipelines for data engineering. Knowledge of data security practices (masking, encryption, RBAC).Education & Certifications Bachelors degree in Computer Science, IT, or related field.Preferred certifications:o AWS Data Analytics Specialty / Azure Data Engineer Associate / GCP Data Engineer.o dbt or Informatica/Talend certifications.

Job Title: ML Engineer - Workflow Automation & Response Intelligence Role Overview: We-re seeking an experienced ML Engineer to lead initiatives in workflow automation and sentiment-driven response generation using third-party AI agents. The candidate will be responsible for integrating external AI services, orchestrating intelligent workflows, and ensuring contextual, automated replies based on sentiment and intent.Key Responsibilities:Integrate and orchestrate third-party AI agents for sentiment analysis and auto-response generationDesign and maintain workflow automation pipelines that trigger intelligent actions based on AI outputsConfigure and fine-tune agent behavior for tone, escalation logic, and contextual relevanceCollaborate with engineering and product teams to define response logic and escalation pathsMonitor agent performance, ensure reliability, and manage API interactionsDocument workflows, integration logic, and fallback strategies in ConfluenceRequired Skills:4-5 years of experience in AI/ML engineering or intelligent automationStrong proficiency in Python for scripting and API orchestrationExperience integrating third-party AI services (e.g., OpenAI, Google Cloud AI, Azure Cognitive Services)Familiarity with sentiment analysis, intent classification, and response generationWorkflow orchestration using tools like Airflow, Prefect, or custom schedulersREST API integration and error handlingVersion control using Git, and task management via JiraNice to Have:Exposure to LangChain, Rasa, or other conversational AI frameworksExperience with LLM prompt engineering and agent chainingUnderstanding of ethical AI principles and fallback logic for agent responsesExposure to Golang and PostgreSQL database

Role OverviewWe are seeking a Network & Security Engineer to lead secure, scalable, and compliant network design and implementation for a large-scale FinTech datacenter-to-GCP migration project. The role requires expertise in cloud networking, hybrid connectivity, F5 load balancers, and enterprise-grade security solutions, ensuring a seamless and secure migration of critical applications.Key ResponsibilitiesNetwork Architecture & Design Design and implement secure network architecture in GCP (VPCs, subnets, segmentation) Manage hybrid connectivity between on-premises and GCP environments Configure and optimize load balancers (including F5) Implement DNS and traffic management strategies for migrationSecurity Implementation & Compliance Enforce security frameworks aligned with FinTech regulatory requirements Configure IAM policies, service accounts, RBAC in GCP Implement firewalls, encryption (at rest & in transit), and monitoring Support compliance validation (SOC 2, PCI DSS, ISO 27001, etc.)Connectivity & Migration Configure and manage site-to-site VPNs & IPSec tunnels Migrate network configurations for applications moving from Hyper-V to GCP Ensure secure connectivity for external APIs, third-party services Standardize networking across Dev/QA/Stage/Prod environmentsMonitoring & Incident Response Implement security monitoring, vulnerability scanning, and SIEM integration Conduct risk assessments, incident response, and forensic investigations Generate security compliance reports and audit documentationRequired Skills & ExperienceNetworking 5+ years in network engineering & security roles Strong knowledge of TCP/IP, routing, VLANs, VPNs, and DNS Hands-on experience with GCP networking (VPC, Load Balancing, Cloud NAT) Expertise with F5 load balancersSecurity 4+ years of cloud networking & security (preferably GCP) Proficiency in IAM, Security Command Center, Cloud Armor Experience with firewall management & vulnerability scanning (Qualys, Nessus, etc.) Familiarity with SIEM tools (Splunk preferred)Tools & Automation Knowledge of Datadog, New Relic, Google Cloud Monitoring Scripting skills (Python, Bash, PowerShell) Infrastructure-as-Code (Terraform) Proficiency with Visio/Lucidchart for documentationPreferred Experience in financial services / regulated environments Certifications (e.g., CCNA, CCNP, GCP Security Engineer, Cloud Architect)Project-Specific Deliverables Migration of F5 load balancer configurations to cloud Integration of golden images and hardened VM templates in GCP Configuration of Splunk log forwarding & monitoring Firewall, IAM, and compliance documentation Pre, during, and post-migration security validation & rollback planningSuccess Metrics Zero security incidents during migration 100% compliance with FinTech security standards

Were Hiring JDE CNC AdministratorRole: JDE CNC AdministratorExperience: 810 YearsJob Type: Full-Time (FTE) Unionsys PayrollWork Location: Pune, Hyderabad, Chennai, Bangalore (Urban), Kolkata, Mumbai, GurugramMode of Work: Hybrid (From Day 1 No exceptions)Role OverviewWe are looking for an experienced JDE CNC Administrator with proven expertise inimplementation, upgrades, and CNC administration activities. The ideal candidate will have asolid understanding of JD Edwards architecture, system integration, and cloud environments,along with strong problem-solving and communication skills.Key ResponsibilitiesMaintain multiple JD Edwards release levelsExecute Tools release upgrades & 32-bit to 64-bit conversionsSupport JD Edwards on Windows & Linux platformsPerform CNC administration tasks:- Package Build & Deployment- Object Management Workbench (OMW)- E1 Scheduler Configuration- Printer Creation- Service Pack & ASU/ESU Installations- UDO handling & Data Dictionary changesImplement Single Sign-On with Azure AD (preferred)Manage JDE security using ALLOUT/QSoft (advantage)Configure and support Oracle WebLogic & IBM WebSphere serversDatabase configuration/administration (Oracle/SQL) plusSupport JDE in cloud environments (Oracle IaaS, AWS, Azure)Troubleshoot issues in large-scale integrated E1 environmentsMust-Have Skills 8+ years in JDE CNC Administration Hands-on implementation & upgrade project experience Strong knowledge of CNC administration and integration best practices Excellent analytical, troubleshooting, and communication skills Team-oriented and proactive work approach

Job Opening: Generative AI & LLMs / Distinguished Gen AI Engineer Location: Remote Experience: 7+ yearsShare your profilestosandhya@welkinsofttech.com To apply, send your profile to sandhya@welkinsofttech.com / hr@welkinsofttech.com or connect with us here. Key Responsibilities:LLM Development: Design, fine-tune, and implement large language models (e.g., GPT, BERT, T5) for applications like personalized learning, content generation, and semantic search.Generative AI Solutions: Drive innovation with Gen AIdeveloping tools like adaptive learning paths, resume builders, and AI-written job descriptions.Machine Learning: Create predictive models and recommendation engines that align user profiles to skills and job opportunities.Token Optimization: Work with OpenAI and other services to manage token efficiency and usage costs.AI Integration: Collaborate with product and engineering teams to integrate AI features seamlessly into the Elefy platform.Data Engineering: Build and maintain robust data pipelines using Python, Node.js, and MongoDB.Data Analysis: Analyze large datasets to surface actionable insights for user engagement and platform growth.Visualization & Reporting: Build dashboards using Tableau, Power BI, or Matplotlib to communicate insights to stakeholders.Documentation: Ensure clear and comprehensive documentation for models, pipelines, and workflows. Who Were Looking For:Experience:8+ years in data science or AI, with 3+ years hands-on with LLMs or Gen AI in production settings.Proven track record of delivering ML models in scalable, real-world applications.Skills:Languages: Python (must), R, SQLFrameworks: PyTorch, TensorFlow, Hugging Face, Scikit-learnPrompt Engineering: Few-Shot Learning, Dynamic Prompting, Role Play, Chain-of-Thought (nice to have)Cloud: Azure (preferred), AWS, or GCPDatabase: MongoDB or similar NoSQL/SQL systemsKnowledge & Tools:Deep NLP & LLM expertise (e.g., GPT, BERT, T5, etc.)Containerization, APIs, CI/CD, and Azure-native cloud toolsStrong visual storytelling via Tableau, Power BI, or Python-based plotsAgile & cross-functional collaboration mindset Bonus Points:Experience with ethical AI, bias mitigation, and explain abilityFamiliarity with skill-based learning platforms or EdTech ecosystemsJoin us at Elefy and be part of a team thats reshaping the future of learning with AI.

Overall, 7 to 9 years of experience in cloud data and analytics platforms such as AWS, Azure, or GCP Including 3+ years experience with Azure cloud Analytical tools is a must Including 5+ years of experience working with data & analytics concepts such as SQL, ETL, ELT, reporting and report building, data visualization, data lineage, data importing & exporting, and data warehousing Including 3+ years of experience working with general IT concepts such as integrations, encryption, authentication & authorization, batch processing, real-time processing, CI/CD, automation Advanced knowledge of cloud technologies and services, specifically around Azure Data Analytics tools o Azure Functions (Compute) o Azure Blob Storage (Storage) o Azure Cosmos DB (Databases) o Azure Synapse Analytics (Databases) o Azure Data Factory (Analytics) o Azure Synapse Serverless SQL Pools (Analytics) o Azure Event Hubs (Analytics- Realtime data) Strong coding skills in languages such as o SQL o Python o PySpark Experience in data streaming technologies such as Kafka or Azure Event Hubs Experience in handling unstructured streaming data is highly desired Knowledge of Business Intelligence Dimensional Modelling, Star Schemas, Slowly Changing Dimensions Broad understanding of data engineering methodologies and tools, including Data warehousing, DevOps/DataOps, Data ingestion, ELT/ETL and Data visualization tools Knowledge of database management systems, data modelling, and data warehousing best practices Experience in software development on a team using Agile methodology Knowledge of data governance and security practices

Level of skills and experience:5 years of hands-on experience in using Python, Spark,Sql.Experienced in AWS Cloud usage and management.Experience with Databricks (Lakehouse, ML, Unity Catalog, MLflow).Experience using various ML models and frameworks such as XGBoost, Lightgbm, Torch.Experience with orchestrators such as Airflow and Kubeflow.Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes).Fundamental understanding of Parquet, Delta Lake and other data file formats.Proficiency on an IaC tool such as Terraform, CDK or Cloud Formation.Strong written and verbal English communication skill and proficient in communication with non-technical stakeholderst

Were Hiring AI Developer Bengaluru (MG Road) Immediate Joining We are looking for an experienced AI Developer with 10+ years in IT, specializing in: .Net Core, AI Chatbots, OpenAI, Azure SQL, Azure DevOps, Integrations Nice to have: Azure Databricks, Azure Data Lake Location: Client office, MG Road, Bengaluru If you are interested and available, please share your updated resume along with the following details: Email: manish@aqusagtechnologies.com WhatsApp: +91 8860355791Looking forward to your response!Best regards,Manish Pundirwww.aqusag.com

Position Title: Sr. Solutions Architect - AILocation: Hyderabad / Bengaluru / IndoreExperience: 15 Yrs.Roles & Responsibilities:This position is critical for driving innovation within AI and related fields, requiring a mix of technical expertise and strategic vision. Apply only if you are ready to take on exciting challenges in a fast-paced, growth-oriented environment.Primary Responsibilities: Design AI and cloud-based solutions (accelerators/applications) and lead the team in building them. Stay up to date with evolving trends in AI and technology. Present solution designs to business users, senior leadership, and clients effectively.Required Skills & Experience: Work Experience: 15 Years Strong understanding and passion for learning and building AI-based solutions and offerings. Broad expertise in Solution Architecture, Cloud platforms (AWS/Azure), end-to-end Software Development, Integration, and Cyber Security (most areas preferred). Hands-on coding experience (Java, .NET, Python) is highly desirable. Experience or advanced knowledge in AI technologies such as Claude, GitHub Copilot, and Private ChatGPT is a significant advantage. Familiarity with LLMs, SLMs, and Agentic AI is a strong plus. Experience in at least one verticalFinance or Healthcare. Excellent communication skills with a proven track record of presenting to clients and stakeholders. Demonstrated ability to quickly learn and apply new technologies and methodologies. A proactive mindset with a strong ability to adapt and thrive in a dynamic environment.Education & Certifications: Bachelor's or master's degree in computer science, Engineering, or a related field Certification in Cloud and AI platforms (e.g., AWS Certified Machine Learning Specialty, Microsoft Certified: Azure AI Engineer Associate, Google Cloud AI certifications) is a strong plus.

Technical Skills: In-depth knowledge of AWS services (IAM, Redshift, Step Functions) Infrastructure as code tools (CloudFormation Stack) Database technologies (SQL, NoSQL) Data processing and analysis tools (AWS Glue, EMR) Big data frameworks (Hadoop, Spark) ETL tools (IBM DataStage, ODI, Informatica, Talend, Microsoft SQL Server Integration Services, Apache Nifi) Data warehousing architecture, Architecture Design Collaboration tools (JIRA, Confluence).If you are looking for a new challenge and have the relevant experience, apply now or tag someone who'd be perfect for this role.Send your resume to : hr@talme.in

CMR University (CMRU) invites applications for its full-time and part-time Ph.D. Degree Programs in several disciplines, including:- Management- Economics & Commerce- Computer Applications- Computer Science & Engineering (with specializations in Artificial Intelligence, Machine Learning, Networking and Cloud Computing, Data Analytics, Cyber Security, Data Science, and the Internet of Things)- Electronics & Communication Engineering- Mechanical EngineeringPh.D. Admissions Form**CMRU Fellowships:** Full-time scholars admitted to the program can apply for the CMRU fellowship schemes under JRF/SRF. The monthly stipend for eligible candidates is up to Rs. 27,000 (Rs. 25,000 for the 1st and 2nd years; Rs. 27,000 for the 3rd year).**Important Dates:**- Last date for submission of the application form: January 13, 2025- Date of Entrance Test: January 18, 2025- Dates for personal interviews of shortlisted candidates: January 27 to January 31, 2025- Announcement of the merit list: February 3, 2025CMR University will admit students through an Entrance Test conducted at the university level. The syllabus for the Entrance Test will consist of 50% research methodology and 50% subject-specific content. Candidates who qualify for fellowships through UGC-NET, UGC-CSIR, NET, GATE, CEED, or similar national-level tests will be exempt from the Entrance Test.For Further details Contact: research@cmr.edu.inMob:+91-9894896257IndustryHigher Education

We are seeking a highly skilled Terraform Cloud Migration Expert to lead the migration of on-premises Terraform infrastructure to Terraform Cloud. This role requires expertise in Terraform, cloud architecture, and migration strategies to ensure a seamless, secure, and efficient transition of critical infrastructure.

Strong experience with Microsoft Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and Azure SQL Database.Proficiency in ETL processes, data pipeline design, and automation within the Azure ecosystem.Experience with big data technologies such as Apache Spark, Hadoop, Azure HDInsight, and Databricks.Solid understanding of data modeling, data warehousing concepts, and relational and non-relational databases.Strong knowledge of SQL and experience with scripting languages like Python, R, or Scala.Experience with Azure Storage services, such as Blob Storage, Data Lake Storage, and Azure Cosmos DB.Familiarity with Data Governance, Data Lineage, and Data Security practices in the cloud.Hands-on experience with Azure DevOps for CI/CD pipeline management, version control, and deployment automation.Familiarity with Azure Active Directory (AAD) and role-based access control (RBAC) for managing permissions and security.Experience with RESTful APIs and integrating with third-party systems for data ingestion and export.Strong problem-solving and analytical skills, with the ability to work with large datasets and derive actionable insights.Ability to collaborate effectively with stakeholders and communicate complex data engineering concepts in simple terms.Preferred Qualifications:Azure certifications such as Microsoft Certified: Azure Data Engineer Associate or Azure Solutions Architect Expert.Experience with real-time data processing using Azure Stream Analytics or Apache Kafka.Knowledge of machine learning and AI concepts for data-driven decision-making.Familiarity with Power BI or other reporting tools for data visualization.Experience with Agile methodologies in a data engineering environment.

We are seeking a motivated and experienced Azure Administrator to join our team at Arokee online solutions . In this role, you will oversee experience required proficiency with Kubernetes, AWS, and CI/CD pipelines. Ideal proficiency with AWS EKS, Argo CD, and Azure DevOps pipelines.EXP: 10+Years OnlyMOW: Remote Location: BangaloreNP: ImmediateUS Shift: 4PM to 1AMResponsibilities:* Agile: Two-week sprints and tracking work via work items within Azure DevOps* Feature Work: Proactive feature work aligned with our platform roadmap and reactive work items such as troubleshooting our platform features, fixing defects, or adding support for requested features* Support: Rotating Slack channel support requests and on-call duties* Release Support: Assist with frequent daytime rolling releases and infrequent after-hours releases with downtimeQualifications:* Bachelor's degree in a relevant field.* Proven experience as DevOps Engineer for 10+year* Hands-on-experience with Cloud platforms such as AWS, Azure and CI/CD Pipeline,* Strong communication and collaboration skill.Culture:Developer Collaboration: Guide and pair with developer teams to release new features or functionality, particularly in areas where platform tooling is unfamiliarLearning and Teaching: We work very closely within our team, frequently pairing on work, Also leaning on each other for guidance and support with issues.

Skills Required:* Programming Languages: Expert knowledge of a variety of programming languages, including Python, Java, and Ruby, can be very useful to cloud engineers.* Detail-oriented: Cloud engineers frequently have to find and fix flaws in workflows for product development or programming, which requires them to be detail-oriented in their work.* Risk Management: To secure confidential information, cloud engineers should have the ability to foresee a hazard. They should take the necessary procedure to avoid them.* Interpersonal Communication: Cloud engineers must be able to adapt their communication methods to fit different business alliances.* Time Management: They work on many projects at once. Thus, they should have effective time management skills.* Cloud Security: Cloud engineers should have an expert knowledge of cybersecurity protocols, as they have to prevent data loss and theft.Qualifications:B.E/ B.TECHJob Type:Full time & PermanentSalary:35k - 1.25L PMLocation:Chennai, Hyderabad, BengaluruContact HR:Manisha - 99622 73939Maha - 98843 36404Megna - 93639 93270

Hiring Fresher IT Support Engineer/ Hardware/ Network Engineer/ Networking/ Fresher!!!5 Days working, Flexible timing, Paid Sick Leaves, Leave encashment, Yearly Appraisal!!!Designation IT Support Engineer/ Hardware/ Network Engineer/ Networking/ FresherJob Location Kolkata, Mumbai, Bangalore, Hyderabad, PuneExperience FresherIT Support Engineer Roles and Responsibilities Installation and configuration of WAN, LAN Take care of Computer, Laptop, Networking Hardware and Software To identify, reproduce & resolve Networking problems of internal users Knowledge of web hosting Install, maintain and troubleshoot network equipment Maintain network routing Fix any hardware or software issues. Installation of Software, printers, outlook, web browsers. Perform regular maintenance checks. Keeping a record of all IT equipment.IT Support Engineer Desired Candidate Profile knowledge of routers, LANs, switches Troubleshooting and other related IT work. The Candidate should be dynamic and ready to accept the responsibility for the field maintenance and installationNote: BE-B-Tech, BCA, Bsc, BBA, B.Com, Diploma.Job Types: Full-time, PermanentSalary Offered: 2.4 LPA to 3.5 LPA

Role & ResponsibilitiesThe Team Lead will be responsible for managing solution roll-outs of supply chain applications, ensuring high-impact project delivery.The role involves 50% coding and 50% management, requiring strong technical skills in SQL, Angular, and Dotnet, along with leadership capabilities.Key responsibilities include overseeing project plans, facilitating user-review/testing sessions, driving system integrations, and building strong working relationships with stakeholders.The ideal candidate should have significant hands-on experience in the required technical areas, knowledge of Azure Cloud, and excellent communication skills.The role offers opportunities to work closely with the Product Head and CEO, and to influence the technical direction of the company.Ideal CandidateSQL: At Least 5 Years hands on RelevantAngular: At Least 2 Years hands on RelevantDotnet: At Least 5 Years hands on RelevantAt Least 2 years working as a Lead and handing a teamKnowledge on Azure CloudOnly BE / B.TechRole involves 50% Coding and 50% Managing.A Good Communicator (means should be able to speak up)Should have the capability to own the task and take responsibilities

Cloud ArchitectExp:10+ yearsKey aspects of this role: Lead a team of engineers in Migrate To Cloud (M2C) activities. Provide technical guidance and mentorship to team members. Evaluate existing infrastructure and applications for cloud migration. Stay abreast of emerging cloud technologies and trends. To be the right fit youll need University (bachelor/master) degree in Computer Science or equivalent. 10+ years of experience in technical leadership with a focus on cloud computing. In-depth knowledge of cloud platforms like Google Cloud Experience with IaC tools such as Terraform and configuration management tools like Puppet, Ansible, or Chef. PCA google certification is preferred Experience in handling migration to cloud projects end to end Proficiency in scripting and automation using Python, Java, .net, PowerShell, Bash, etc. Familiarity with CI/CD pipelines tools and DevOps practices. Excellent communication skills.Its good to have Architectural mindset Expertise in google cloud services Familiarity around handling large applications , data, storage and serverless ecosystemsJob Category: Cloud ArchitectJob Type: Full TimeJob Location: remoteApply for this positionFull Name *Email *Phone *Cover Letter *Upload CV/Resume *Allowed Type(s): .pdf, .doc, .docxBy using this form you agree with the storage and handling of your data by this website. *

DevSecOps Experience: Minimum 5+ years of hands-on experience in DevSecOps, cloud engineering, or operations roles, with demonstrated expertise in integrating security into continuous integration and continuous deployment pipelines. Multi-Cloud Expertise: Strong proficiency in implementing security controls and managing compliance across AWS (preferred), Azure, and GCP platforms, including deep knowledge of identity services (IAM, Workload Identity), network security, and data protection offerings. Infrastructure as Code and Automation: Expertise with infrastructure-as-code tools such as Terraform, CloudFormation, or Ansible, with ability to implement automated security compliance checking and remediation across cloud platforms. CI/CD and DevOps Tools: Extensive experience with CI/CD platforms (Jenkins, AWS CodePipeline, GitHub Actions, Azure DevOps) and container orchestration tools (Docker, Kubernetes), including implementation of security scanning and policy enforcement. Programming and Scripting: Proficiency in scripting and programming languages commonly used in automation and security tooling, such as Python, Bash, or Go, with ability to develop custom solutions and automation frameworks. Security Testing and Scanning: Expertise in security testing methodologies, including static application security testing (SAST), dynamic application security testing (DAST), software composition analysis (SCA), and container scanning tools. Cloud Security Standards: Deep knowledge of security best practices, compliance frameworks (SOC 2, ISO 27001, CIS Benchmarks, OWASP), and regulatory requirements relevant to financial services and data protection (GDPR, data residency requirements). API and Application Security: Understanding of secure API design principles, authentication protocols (OAuth, SAML, mTLS), encryption standards, secrets management solutions, and application security testing frameworks. Networking and Infrastructure Security: Strong understanding of network security principles, including VPCs, firewalls, network segmentation, DDoS protection, SSL/TLS, VPN, and network monitoring solutions. Incident Response and Forensics: Experience developing incident response procedures, conducting security investigations, analyzing logs, and implementing threat detection and monitoring capabilities. Container and Kubernetes Security: Knowledge of container security best practices, image scanning, runtime security, policy enforcement, and securing Kubernetes environments across cloud platforms.

we are in the lookout for a seasoned Cloud Data Lead. We are eager to connect with you if you have extensive experience in cloud platforms, data architecture, and leadership!

On-premise (Cisco) + Azure cloud Network Engineer. (Cisco CCNA Certification is a must. )We are looking for following skills in our new colleagues:? We are on the lookout for consultants with 6+ years of experience as a network engineer. ? A classic on-premise (Cisco) and Azure cloud Network Engineer. ? Knowledge of Cisco networking equipment (switching / Firewalls / Wireless controller / Wireless access points).? Cisco CCNA Certification is a must. ? Cisco Network project references are needed.? Understanding of Site-to-Site VPN.? Knowledge of other firewall vendors is a plus (Fortinet, Checkpoint, Meraki).? Knowledge of Azure cloud networking is a real added value.? Microsoft Azure certificate AZ-104 & AZ-700, or willing to certify. ? You can think along with customers and propose new solutions that can be integrated into their environment.? You have exemplary organizational and interpersonal skills. You are able to manage both customers and colleagues perfectly.? As GDC Network Expert, you will be responsible for the full ITSM stack & project work. ? Executing configuration changes: if a service request is made, you make sure that the job gets done.? Design/Architecture: when a solution has to be modified to suit a client (tailor-made).? Troubleshoot: whenever an incident occurs with one of our customers, you are the one to respond to it and deal with it.? Follow up and management of the ticketing queueApply now : https://bridtechsolutions.com/jobs/on-premise-cisco-azure-cloud-network-engineer-cisco-ccna-certification-is-a-must/

Job DescriptionThe Big Data/Analytics Solution Architect is responsible for understanding emerging and evolving end user usage models and requirements in Big Data and Analytics, documenting those usage models and business, technical and user requirements and designing a solutions architecture to meet those requirements and specifying an implementation HW and SW solution stack. Solution architects document the solution architectures and solution requirements and, when needed, define end user proofs of concept to test the architectures, usage models and corresponding Intel technologies in testbed or real end user environments. They also work with end users and ecosystem partners to deploy those solutions in early adopter production environments. A strong candidate will have:Experience in Requirements Engineering, Solution Architecture, Design, Development and DeploymentA broad set of technical skills and knowledge across hardware, software, systems and solutions development and a across more than one technical domain.Demonstrated experience in real world IT or other solutions environments including creating (on your own or with a team) a product or IT solution in the area of Big Data/AnalyticsStrong communication skills including representing your company in industry standards organizations or industry technical forums or events in Cloud SecurityStrong technical team leadership, mentorship and collaboration.Ability to develop technical relationships with end-users, ISVs, OEMs and Intel platform architects and Proof-Of-Concept engineers.