AWS Cloud Engineer Jobs

Kickstart Your Career!Hi! Im Kishore Jobs ConsultantWe currently have exciting IT/Software openings Software mid-level firms, covering multiple tech stacks and experience levels. Its Paid Service Java,Testing,Python,Devops,AWS,Fullstack, Data Scientist AI/ML, Cyber Security,Node JS,React JS.,etc (Nine Nine Eight Nine6one two73five

About Talentica Software-Talentica Software, one of the most promising Product-Dev companies in the Indian.As a key player of the product-dev organization of Talentica Software, you will play an Integral role in our growth strategy. You will manage their product-vision and goals using your expertise and some of the coolest technologies. Experience Greenfield development - see a product from concept to going live - turn ideas to success!We are looking for a passionate and detail-oriented Software Engineer - Security to join the CDP Data Engineering organization. This role is focused on identifying, analyzing, and fixing security vulnerabilities (CVEs) by developing a deep understanding of underlying architectures and interactions across multiple platform componentsAs a Software Engineer- Security you will.Security Engineering & CVE Remediation Analyze, prioritize, and remediate security vulnerabilities (CVEs) across the CDE stack and its dependent components. Understand vulnerability root causes by diving deep into platform architecture, dependencies, and third-party libraries. Design and implement secure fixes that minimize functional and performance impact while maintaining backward compatibility.Platform & Architecture Understanding Gain working knowledge of the CDE architecture, including Spark and Airflow components. Implement and validate security fixes across relevant services and components. Review code and changes with security considerations in mind. Work closely with Product Security, Release, and Quality teams to deliver fixes on time. Help ensure fixes are release-ready and upstream dependencies are consumed safely.Were Excited About You If You Have Experience 4+ years of experience as a software engineer working on backend, platform,infrastructure, or security-related systems.Security & Systems Knowledge Hands-on experience or strong interest in vulnerability analysis, CVE remediation, or secure software development. Understanding of common security issues in distributed systems, cloud-native platforms, or open-source software.Programming Skills Strong foundations in data structures, algorithms, and systems or object-oriented programming. Proficiency in one or more of: Java/Golang (must), PythonCloud & Containers Experience or strong working knowledge of Docker, Kubernetes, and cloud environments such as AWS, Azure, or GCP. Understanding of container security, dependency management, and runtime isolation is a plus.Education Bachelors or Masters degree in Computer Science or a related field, or equivalent practical experience.You May Also Have (Preferred Qualifications) Exposure to CI/CD pipelines and modern development workflows Experience working with Product Security or vulnerability management processes. Familiarity with CVSS scoring, KEV prioritization, or security advisories. Contributions to open-source projects or security fixes. Exposure to technologies such as Apache Spark, Hadoop, Airflow, or similar platforms is a strong plus

Job Title: Tech LeadExperience: 6 - 8+ YearsEmployment Type: Full-time / Work from officeRole OverviewWe are looking for an experienced Tech Lead to join our dynamic team and drive the development of scalable AdTech solutions. The ideal candidate will bring strong technical expertise, leadership capabilities, and experience working in Agile environments.You will play a key role in building innovative platforms that automate media transactions and enhance global audience engagement.Key Responsibilities Provide hands-on technical guidance to engineering teams. Enforce best practices in coding standards, architecture, and design principles. Lead Agile POD teams across product, engineering, and QA. Ensure timely delivery of technical deliverables with high quality. Collaborate with solution architects to design scalable and maintainable systems. Convert architecture designs into development plans. Mentor junior engineers and promote continuous learning. Encourage collaboration and innovation within the team. Oversee the entire development lifecycle from planning to deployment. Resolve technical challenges to ensure smooth delivery. Identify development bottlenecks and optimize workflows. Implement automation to improve productivity and performance.Required Skills & Qualifications Bachelors or Masters degree in Computer Science, IT, or related field. 6+ years of experience as a Tech Lead or Senior Developer. Strong experience working in Agile development environments.Technical Skills Programming: Java, Python, Angular, C++ Databases: MongoDB, SQL, NoSQL Cloud Platforms: AWS Experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras Experience deploying AI models in production Knowledge of deep learning, NLP, computer vision, or generative AIPreferred Skills Experience in AdTech / OOH advertising / E-commerce platforms Knowledge of CI/CD pipelines and DevOps practices Familiarity with tools such as Jira and ConfluenceTech Stack Programming: Java, Python, C++ Frontend: Angular, React Database: MongoDB, SQL, NoSQL Cloud: AWS

We are seeking a talented AI/ML Engineer to design, develop, and deploy machine learning models that solve real-world business problems.Key ResponsibilitiesDevelop, train, and optimize machine learning and deep learning models.Design and implement AI solutions for automation, prediction, and data analysis.Work with large datasets to clean, preprocess, and engineer features.Deploy models into production environments and monitor performance.Build scalable ML pipelines and integrate models with applications.Conduct experiments, model evaluations, and performance tuning.Collaborate with cross-functional teams including data engineers and product managers.Stay updated with the latest research and advancements in AI/ML.Note: Only Pune-based candidates can eligible to apply.

Design and develop microservices using Go that power our AI cloud platform`s core functionalityBuild and maintain Kubernetes-based infrastructure for container orchestration and workload managementImplement and optimize cloud native solutions for scalability, reliability, and performanceContribute to code reviews, technical documentation, and knowledge sharing within the engineering teamExplore and integrate emerging cloud native technologies like Volcano, Prometheus, and service mesh solutionsDesign distributed systems architecture for high-availability AI workload processingCollaborate with DevOps and SRE teams to ensure production reliability and monitoringLeverage AI-assisted coding tools (GitHub Copilot, ChatGPT, Cursor IDE, etc.) to boost productivity and code qualityYou`ll thrive here if you7+ years of software engineering experience with focus on distributed systems and cloud native technologiesStrong proficiency in Go with deep understanding of concurrency patterns and standard librariesFamiliarity with Python or other backend languages for polyglot development environmentsHands-on Kubernetes experience including development, deployment, and maintenance of production clustersSolid understanding of microservices architecture design patterns and implementation best practicesExperience with containerization technologies (Docker, containerd) and container runtime optimizationProblem-solving mindset with ability to independently design and implement complex system componentsStrong collaboration and communication skills for working in cross-functional teamsExperience using AI-assisted coding tools and willingness to integrate them into development workflowBonus qualificationsFamiliarity with cloud native ecosystem tools such as Prometheus, Grafana, Volcano, or service mesh technologiesOpen source contributions to cloud native projects (Kubernetes, CNCF ecosystem)Experience with large-scale Kubernetes cluster operations and troubleshooting in production environmentsKnowledge of microservices architecture patterns including circuit breakers, service discovery, and distributed tracingKnowledge of Mandarin.

Job Title: AI Computer Science Engineer (Prompt Engineering & Client Support)Company: DrytisType: Remote Contract Position (Independent Contractor)Compensation: $4.28 $17.15 per hour (based on experience and performance)About DrytisDrytis is a forward-thinking technology company specializing in AI-powered coding solutions that bridge the gap between clients and technology. Were building a dynamic, on-demand engineering platform that delivers immediate, expert software engineering support to help clients complete the last mile of their application development.We thrive on innovation, agility, and real-world problem-solving. Our team of AI and software specialists works directly with clients to provide hands-on technical guidance and coding support in a cloud-based development environment.Role OverviewAs an AI Computer Science Engineer at Drytis, you will play a key role in providing direct technical support and AI-driven development assistance to clients using our Vibe Coding platform. This role blends deep AI expertise with practical coding, debugging, and client collaboration.You may engage in live pair programming sessions, perform hands-on debugging, or help clients complete software projects in real time. You will be expected to move fluidly between coding, prompt engineering, and direct client interaction, while communicating clearly and confidently with primarily English-speaking clients.ResponsibilitiesEngage with clients in live or asynchronous sessions to provide coding support and project guidance.Apply advanced prompt engineering and AI development techniques (including extensive use of AI coding applications and tools) to enhance client workflows.Debug, refactor, and complete application features across various software stacks.Collaborate via remote, cloud-based development tools and shared workspaces.Maintain detailed documentation of client sessions, tasks, and resolutions.Contribute to process improvement initiatives and platform optimization feedback loops.QualificationsDegree in Computer Science, AI, or a related field (or equivalent practical experience).Strong command of Python, JavaScript, or other common programming languages.Hands-on experience with prompt engineering, LLMs, and AI-assisted coding tools, with extensive daily use of AI coding applications.Proven full-stack application deployment experience (front-end, back-end, and production environments).Exceptional English communication skillsverbal and writtenare absolutely required.Strong problem-solving skills and excellent attention to detail, especially in client-facing and production-critical scenarios.Familiarity with cloud-based IDEs, version control (e.g., Git), and API integrations.Strong UX/UI design and product experience are highly favorable.Reliable internet connectivity with access to multiple providers for redundancy and uninterrupted client sessions.Comfortable working independently in a remote, fast-paced environment.What Makes This Role UniqueFully remote & flexible: Work from anywhere, on your schedule. You design your working hours around your life.You choose your clients: Pick the clients and projects you want to work with, based on your interests and strengths.Empowered by AI: Work with cutting-edge AI technologies, using and pushing the limits of the most advanced AI coding tools to make them do backflips and deliver exceptional outcomes for clients.High-impact, client-facing work: Every session is hands-on, fast-paced, and collaborative; your thinking, speed, and clarity directly help clients ship their products.Built for elite communicators: Success here means you can think fast, communicate incredibly well, and genuinely enjoy helping clients get their applications into production.How to ApplyInterested candidates should submit:An up-to-date resume.A brief note outlining relevant experience with AI coding tools, full-stack deployment, client-facing work, and why this role interests you.We look forward to connecting with you and exploring how you can contribute to Drytis and our clients success.You may also refer your friends

Key Responsibilities:- Design and manage data pipelines to transform and integrate structured and unstructured data.- Ensure high data quality and performance.- Support analytics, reporting, and business intelligence needs by preparing reliable data sets and models for stakeholders.- Collaborate with Analysts, Digital Project Managers, Developers, and business teams to ensure data accessibility and usefulness.- Enforce standards for data governance, security, and cost-effective operations.Ideal candidates will thrive in a collaborative, mission-focused environment and excel in ETL/ELT engineering. They should have experience building scalable data solutions using modern data engineering technologies that impact organizational outcomes.Required Qualifications:- Strong proficiency in Structured Query Language (SQL) and at least one programming language such as Python or Scala.- Hands-on experience developing ETL or ELT pipelines.- Experience with cloud-native data services (e.g., AWS Glue, AWS Redshift, Azure Data Factory, Azure Synapse, Databricks).- Good understanding of data modeling and data warehousing concepts.Desired Qualifications:- Design, build, and optimize scalable ETL or ELT pipelines handling both structured and unstructured data.- Ingest and integrate data from internal and external sources into data lakes or data warehouses.- Ensure that processed data is accurate, complete, and secure.Outcomes include well-documented, automated pipelines that support downstream analytics without bottlenecks or data errors.

Location: Noida Sector 142 (Work From Office)Experience: 510 YearsOpenings: 2CTC: Up to 1213 LPAJoining: ImmediateRole SummaryWe are hiring Full Stack Developers (.NET Core + Flutter) to work on Shipskart Enterprise, a B2B SaaS platform for the maritime and supply chain industry. The role involves end-to-end development across backend microservices and cross-platform frontends.Key ResponsibilitiesDevelop and maintain backend services using .NET Core & EF CoreBuild cross-platform UI using Flutter (Web/Mobile/Desktop)Design and consume RESTful APIs and microservicesWork with PostgreSQL & MongoDBCollaborate on architecture, code reviews, testing, and deploymentsTroubleshoot and resolve production issuesRequired Skills510 years overall experience; 3+ years in .NET CoreExperience with Enterprise SaaS / Multi-Tenant platformsStrong skills in C#, EF Core, LINQProficiency in Flutter & DartExperience with REST APIs, Microservices, Git, Docker, CI/CDKnowledge of JWT/OAuth and clean architectureNice to HaveKubernetes, Cloud (AWS/Azure/GCP)Message brokers (RabbitMQ/Kafka)DDD / CQRS exposure

Role OverviewWe are looking for a DevOps Engineer with strong hands-on experience in GitLab CI/CD, repository management, and environments setup for development and production. The candidate must be experienced with Hetzner cloud servers and Cloudflare for DNS, security, and performance optimisation. Key Responsibilities1. GitLab Repositories & Version ControlCreate, manage, and maintain GitLab repositories.Handle commit, merge, pull, branch, and proper repository structuring.Set up and manage workflows for both development and production branches.Ensure smooth collaboration between development teams.2. CI/CD Pipelines (GitLab)Build and maintain GitLab CI/CD pipelines for automated build, test, and deployment.Manage environment variables, runners, artefacts, and deployment stages.Troubleshoot pipeline failures and optimise performance.3. Server Deployment & Configuration (Hetzner)Deploy and manage infrastructure on Hetzner Cloud.Setup of virtual machines, firewalls, network configurations, backups, snapshots.Automate deployments and manage scaling of server resources.4. Cloudflare Integration & ManagementConfigure DNS, SSL, caching, and CDN through Cloudflare.Implement Cloudflare security features (WAF, bot protection, rate limiting).Optimise performance and reduce latency across environments.5. Environment ManagementMaintain and deploy separate Dev, Staging, and Production environments.Ensure smooth release cycles and rollback strategies.Monitor application uptime and deployment health.6. Monitoring, Logs & TroubleshootingMonitor server health, performance, and logs.Address deployment or infrastructure issues proactively.Work closely with developers to resolve build or pipeline issues. Required SkillsStrong experience with GitLab for version control and CI/CD.Hands-on experience with Hetzner Cloud infrastructure.Strong knowledge of Cloudflare for DNS, SSL, firewall, and CDN.Good understanding of Docker (optional but preferred).Familiarity with Linux server management.Good communication and documentation skills. Good to HaveExperience with Docker containers.Knowledge of shell scripting.Understanding of networking and security concepts.

Designation: Application Technology Leadlocation: Andheri East, Mumbaimax Hike Payable to Candidate: 30%relocation Allowance: No Allowance Shall Be Provided On Relocation. However, You May Source Candidates from Anywhere in India Provided He Relocates to Mumbai.industry: Candidate Has to Be from Mutual Fund Industry Only.position: Application Technology Leadjob Summary:as the Technology Solution Lead, You Will Be Responsible for Leading and Managing the Technology Solutions Function, Overseeing the Design, Development, and Implementation of Technology Solutions for Vendor Driven Applications and Support the Application Operations. You Will Collaborate with Cross-functional Teams, Including Business Stakeholders, Operations and Development Teams, to Identify and Deliver Innovative Technology Solutions that Drive Business Growth, Enhance Operational Efficiency, and Ensure Regulatory Compliance.key Responsibilities:1. Technology Solution and Architecture Planning and Execution: Develop and Implement a Comprehensive Software Solution Aligned with the Organization Goals and Objectives. Identify Opportunities for Technology-driven Innovation and Provide Recommendations On Emerging Trends and Solutions.2. Vendor Management: Manage Relationships with Technology Vendors, Including Software Providers, System Integrators, and Consulting Firms. Evaluate Vendor Proposals, Negotiate Contracts, and Ensure Timely and Quality Delivery of Vendor Services and Solutions.3. Solution Design and Architecture: Lead the Design and Architecture of Technology Solutions, Ensuring Alignment with Business Requirements, Scalability, Security, and Reliability. Evaluate and Select Appropriate Technologies, Platforms, and Frameworks to Support Solution Development.4. Project and Program Management: Oversee the End-to-end Project and Program Management Lifecycle for Technology Solution Initiatives. Define Project Scope, Timelines, Budgets, and Resource Requirements. Monitor Project Progress, Identify Risks, and Implement Mitigation Strategies.5. Stakeholder Management: Collaborate Closely with Business Stakeholders to Understand Their Requirements, Objectives, and Pain Points. Translate Business Needs Into Technology Solution Requirements and Ensure Effective Communication and Engagement Throughout the Solution Development Lifecycle.6. Solution Development and Implementation: Oversee the Development and Implementation of Technology Solutions, Including Custom-built Applications, Integration Projects, and Third-party Software Deployments. Ensure Adherence to Coding Standards, Quality Assurance, and Testing Best Practices.7. Regulatory Compliance: Ensure Technology Solutions Comply with Relevant Regulatory Requirements, such as Sebi Guidelines and Exchange Guidelines or Any other Industry-specific Regulations in the Broking Sector. Stay Updated On Regulatory Changes and Drive Compliance Initiatives.8. Performance Monitoring and Optimization: Establish Mechanisms to Monitor the Performance and Effectiveness of Technology Solutions. Implement Continuous Improvement Processes to Optimize Solution Performance, Scalability, and User Experience.9. Team Leadership and Management: Build and Lead a High-performing Technology Solutions Team. Provide Guidance, Mentorship, and Support to Team Members, Fostering Their Professional Growth and Creating a Collaborative and Innovative Work Culture.10. Technology Trends and Innovation: Stay Abreast of Emerging Technologies, Trends, and Industry Best Practices. Evaluate Their Applicability to the Broking Firm's Technology Landscape and Make Recommendations On Adopting Innovative Solutions to Drive Business Growth and Operational Excellence.qualifications and Experience: Bachelor's or Master's Degree or Equivalent in Computer Science, Information Technology, or a Related Field. Overall 12+ Years Experience in Technology Solution Design, Architecture, and Delivery, Minimum 5+ Years Within the Amc, Broking or Financial Services Industry. Strong Knowledge of Technology Platforms, Frameworks, and Software Development Methodologies. Familiarity with Fintech Ecosystem Working for Broking Systems, Trading Platforms, and Financial Market Data Feeds Experience in Project and Program Management, with a Track Record of Successfully Delivering Technology Solutions On Time and Within Budget. Excellent Leadership and Team Management Skills, with the Ability to Motivate and Inspire Teams to Achieve High Performance. Strong Analytical and Problem-solving Abilities, with a Focus On Delivering Innovative and Value-driven Technology Solutions. Excellent Communication and Interpersonal Skills, with the Ability to Effectively Engage with Stakeholders At all Levels. Familiarity with Regulatory Standards and Guidelines Relevant to the Broking Industry, such as Sebi Guidelines, Exchange Processes as Applicable for Technology Stack, is Necessary Certifications in Relevant Technologies, Project Management, or Enterprise Architecture Frameworks (e.g., Togaf) Would Be Beneficial.

We are looking for an experienced Cloud SRE (Site Reliability Engineer) with strong expertise in deploying, operating, and supporting the Wiz security platform across multiple cloud environments. This role is fully remote and requires hands-on experience with cloud platforms, Kubernetes, automation, and integration workflows.Key ResponsibilitiesDeploy Wiz on GCP, AWS, Azure, and AliCloud, as well as on Kubernetes clusters hosted on Bare Metal or VMware.Monitor and operate the Wiz platform, support integration efforts with target platforms, monitor integration health, and alert cloud platform teams for remediation.Automate Wiz onboarding processes, including adding new users and onboarding new projects.Support the design and operation of Wiz RBAC roles, customization, and SSO integration.Provide white-glove support to Wiz early adopters at the project level.Design, implement, maintain, and manage the change-release process for rolling out updates to the Wiz production platform.Maintain documentation to support Wiz adopters and internal teams.Monitor usage of Wiz components (e.g., DaemonSet versions) to ensure alignment with Wiz vendor recommendations.Maintain strong knowledge of the full Wiz feature set.Support developers in building CI/CD pipelines that consume Wiz APIs to perform security-related tasks.Support integration efforts with downstream reporting tools by provisioning and maintaining required service accounts and API catalogs.

We are seeking a DevOps Engineer with 4-5 years of experience to join our team in Hyderabad. The ideal candidate should have a B.Tech in IT and specialize in AWS, Docker, and Jenkins. This is a full-time position with a work from office arrangement. The selected candidate is expected to join within 3 months.;

About Netra LabsAt Netra Labs, we redefine enterprise AI with our groundbreaking platform, Ground Truth. Our platform transforms expertise into powerful AI agents, enabling businesses to automate complex tasks efficiently. With a user-friendly interface and seamless integration with any language model, Ground Truth empowers system integrators, innovators, and developers to rapidly build and deploy AI solutions. Our commitment to security, scalability, and ROI ensures our clients can trust us with their AI-driven workflows.Role OverviewWe are looking for a highly skilled Python Engineer to lead our backend team and drive the development of scalable, secure, and high-performance AI-powered applications. The ideal candidate will have expertise in data science, a deep understanding of backend development, and hands-on experience with cloud services and DevOps practices. You will work closely with cross-functional teams, ensuring seamless integration between AI models, data pipelines, and enterprise applications.Key Responsibilities Work with the backend development team, ensuring best practices in coding, architecture, and performance optimization. Design, develop, and maintain scalable backend services using Python and FastAPI. Architect and optimize databases, ensuring efficient storage and retrieval of data using MongoDB. Integrate AI models and data science workflows into enterprise applications. Implement and manage AWS cloud services, including Lambda, S3, EC2, and other AWS components. Automate deployment pipelines using Jenkins and CI/CD best practices. Ensure security and reliability, implementing best practices for authentication, authorization, and data privacy. Monitor and troubleshoot system performance, optimizing infrastructure and codebase. Collaborate with data scientists, front-end engineers, and product team to build AI-driven solutions. Stay up to date with the latest technologies in AI, backend development, and cloud computing.Required Skills & Qualifications 3+ years of experience in backend development with Python. Strong experience in FastAPI or other modern Python web frameworks. Proficiency in MongoDB or other NoSQL databases. Hands-on experience with AWS services (Lambda, S3, EC2, etc.). Experience with GitHub Actions and CI/CD pipelines. Data Science knowledge with experience integrating AI models and data pipelines. Strong understanding of RESTful API design, microservices, and event-driven architecture. Experience in performance tuning, caching, and security best practices. Proficiency in working with Docker and containerized applications. Excellent problem-solving skills and ability to lead a team. Strong communication skills to interact with stakeholders and cross-functional teams.Preferred Qualifications Experience with Machine Learning frameworks such as TensorFlow or PyTorch. Knowledge of GraphQL, WebSockets, or gRPC. Familiarity with Terraform or Kubernetes for infrastructure as code. Experience with big data processing frameworks such as Apache Spark.

Job Title: Data EngineerLocation: [Remote / Onsite / Hybrid]Employment Type: [Full-time / Contract / W2 / C2C]Job Summary:We are looking for a skilled Data Engineer to design, develop, and maintain scalable data pipelines and infrastructure. The ideal candidate will have hands-on experience with cloud data platforms, large datasets, and data integration tools to ensure the accuracy, reliability, and accessibility of enterprise data.Key Responsibilities:Design, build, and optimize ETL/ELT pipelines to process data from multiple sources.Develop and manage data warehouses, data lakes, and streaming systems.Ensure data reliability, quality, and governance across platforms.Collaborate with data scientists, analysts, and software engineers to deliver data solutions.Monitor, troubleshoot, and enhance data workflows for performance and scalability.Maintain detailed documentation of data architecture, flows, and processes.Required Qualifications:Bachelors degree in Computer Science, Information Systems, Engineering, or a related field.3+ years of experience as a Data Engineer or in a similar data-focused role.Strong proficiency in SQL and one programming language (Python, Scala, or Java).Experience with ETL tools such as Apache Airflow, AWS Glue, or Talend.Expertise in cloud platforms (AWS, Azure, or Google Cloud).Hands-on experience with data warehousing technologies (Snowflake, Redshift, BigQuery, Synapse).Knowledge of big data frameworks (Hadoop, Spark, Kafka).Solid understanding of data modeling, governance, and security best practices.Preferred Qualifications:Experience implementing CI/CD and DevOps practices for data pipelines.Familiarity with real-time data streaming, API integration, and event-driven architectures.Knowledge of containerization tools such as Docker or Kubernetes.Strong problem-solving, analytical, and communication skills.Technical Stack (Typical):Languages: Python, SQL, Scala, JavaFrameworks: Apache Spark, Kafka, Hadoop, AirflowDatabases: Snowflake, Redshift, BigQuery, PostgreSQLCloud Platforms: AWS, Azure, GCPETL / ELT Tools: dbt, Glue, Talend, Informatica

We're Hiring: AI Engineer at MSolve TechMSolve Tech is looking for a talented AI Engineer with 4+ years of experience to design and build AI products using Agentic AI (Autogen), Python backend, and React/Node.js front-end.What You'll Do:Build AI-powered products from concept to deployment.Develop backend services in Python and integrate AI/ML pipelines.Create responsive front-end apps using React & Node.js.Work with RDBMS and Azure Cosmos DB.Skills We're Looking For:Python, Node.js, ReactAgentic AI (Autogen)RDBMS & Azure Cosmos DBProduct-focused mindset & strong problem-solving skillsWhy Join Us:Lead the development of cutting-edge AI productsFlexible work environmentGrow your skills with an innovative tech team

Job Summary: A highly skilled and experienced Systems and IT Infrastructure Engineer. The ideal candidate should have 5+ years of hands-on experience across IT products (MS, Oracle, etc.), networking, infrastructure, cloud platforms, virtualization, and cybersecurity. Key Responsibilities: Solution engineering through design, deploy, and maintain enterprise infrastructure systems, including servers, storage, networking, and virtualization platforms. Administer and optimize Windows/Linux servers, Active Directory, DNS/DHCP, and group policies. Manage, diagnose, and monitor networking infrastructure including routers, switches, firewalls, VPNs, and load balancers. Deploy and manage on-perm and on-cloud infrastructure (IaaS, PaaS, hybrid) across AWS and Azure environments. Implement and manage virtualization platforms (e.g., VMware, Hyper-V, KVM). Conduct regular vulnerability assessments, penetration tests, and security audits to identify and mitigate risks. Ensure network and data security through proper configurations, monitoring tools, and incident response. Lead disaster recovery and business continuity planning and execution. Collaborate with DevOps and application teams to support infrastructure such as code (IaC) and automation initiatives. Maintain documentation and diagrams for infrastructure architecture, processes, and procedures. Stay current with emerging technologies and security threats, recommending improvements as needed.Qualifications: Bachelor's degree in information technology, Computer Science, Computer Engineering or related field. 5+ years of experience in IT infrastructure, systems design and deployment, administration, and networking. Strong knowledge of network protocols, firewall configuration, and enterprise-level routing/switching. Hands-on experience with AWS, Azure, or both (EC2, VPC, S3, RDS, Azure VMs, Azure AD, etc.). Proven expertise with VMware, Hyper-V, or other virtualization platforms. Solid understanding of cybersecurity principles, SIEM, IDS/IPS, and penetration testing tools (e.g., Kali Linux, Metasploit, Burp Suite). Experience with infrastructure automation tools (e.g., Terraform, Ansible, PowerShell, Bash). Excellent problem-solving skills and ability to work under pressure in fast-paced environments. Strong communication and documentation skills.Strong oral and written communication skills in English GIS/Esri software knowledge is a plus.Preferred Certifications (Optional): AWS Certified Solutions Architect / SysOps Administrator Microsoft Certified: Azure Administrator Associate Cisco CCNA CompTIA Security+ or CASP+ VMware Certified Professional (VCP)

Software Engineer required for Pune.

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We are doing bulk hiring for various IT positionsHope you are doing well.We are Hiring freshers, who are passionate to build their careers in Software Hyderabad LocationWalk-in with your Resume-Walkout with your offer letter Excellent Backdoor Openings HyderabadPlease read the job description very carefully before applying.Position Name: Software Developer (Python, Pega etc)Location HyderabadWe have excellent resources on different technologies as mentioned below in a variety of domains. Please go through the below details and let me knowJava, Dotnet, Testing, (Automation Testing With Selenium Testing) Pega,Python,Salesforce,Devops,AWS , SQL DBA, SAP BTP,ETLUI/UX DESIGNER, ,JAVA SCRIPT,ANDROID DEVELOPER (KOTLIN, ANDROID STUDIO, FLUTTER),WEB DEVELOPER (JS, NODE JS, REACT JS) ,ETL,SAS..etcWe are being genuine from our end please be serious from your end guys. Please make sure ready with your Updated Resume Please do refer your friends and colleagues.Work From Home as well as Work from office

Design and develop microservices using Go that power our AI cloud platform`s core functionalityBuild and maintain Kubernetes-based infrastructure for container orchestration and workload managementImplement and optimize cloud native solutions for scalability, reliability, and performanceContribute to code reviews, technical documentation, and knowledge sharing within the engineering teamExplore and integrate emerging cloud native technologies like Volcano, Prometheus, and service mesh solutionsDesign distributed systems architecture for high-availability AI workload processingCollaborate with DevOps and SRE teams to ensure production reliability and monitoringLeverage AI-assisted coding tools (GitHub Copilot, ChatGPT, Cursor IDE, etc.) to boost productivity and code qualityYou`ll thrive here if you7+ years of software engineering experience with focus on distributed systems and cloud native technologiesStrong proficiency in Go with deep understanding of concurrency patterns and standard librariesFamiliarity with Python or other backend languages for polyglot development environmentsHands-on Kubernetes experience including development, deployment, and maintenance of production clustersSolid understanding of microservices architecture design patterns and implementation best practicesExperience with containerization technologies (Docker, containerd) and container runtime optimizationProblem-solving mindset with ability to independently design and implement complex system componentsStrong collaboration and communication skills for working in cross-functional teamsExperience using AI-assisted coding tools and willingness to integrate them into development workflowBonus qualificationsFamiliarity with cloud native ecosystem tools such as Prometheus, Grafana, Volcano, or service mesh technologiesOpen source contributions to cloud native projects (Kubernetes, CNCF ecosystem)Experience with large-scale Kubernetes cluster operations and troubleshooting in production environmentsKnowledge of microservices architecture patterns including circuit breakers, service discovery, and distributed tracingKnowledge of Mandarin.