929 Cloud Infrastructure Jobs - Page 10

Design & Build networks - Plan & design considering bandwidth, infrastructure, security Analyzing & troubleshoot - network traffic, logs, performance metrics Strategic planning - plan for capacity, disaster recovery Documentation Managing network Required Candidate profile Network Security - firewalls, VPNs, intrusion detection system Monitor networks for threats, attacks, patching risks Network maintenance - plan upgrades Cloud infrastructure solutions KVM, OpenStack

Virtual Walk-in Interview for Senior AWS Architect - Harita Techserv Virtual Walk-in Date: 07-July -25 to 11-July -25 Timing: 4:30 PM to 7:30 PM Video call link: https://meet.google.com/odn-pxon-nxq Experience: 15 Years to 18 Years Work Timings General Shift Locations: Chennai, Coimbatore, Bangalore, Hyderabad Role: Senior AWS Architect Must have : AWS Design & Architect Experience is mandatory. CI/CD and Terraform are also mandatory. Job Description: Roles and Responsibilities: Develop cloud design patterns and architecture framework required for the project implementation. Define architecture standards for the development team, encourage the best practices, prepare the technical documentation for the project deliverables. Translate the Design Into Implementable pattern for the DevOps engineering team. Act as the single point of contact for any technical delivery related to a project. Provide technical thought leadership to the team with solution decisions, technical issues and for internal organization initiatives. Technical guidance and assistance on effort estimation to pre-sales teams for the client proposals. Project management activities include project estimation, work breakdown structure, setting the project schedules and sending the project status reports to clients. • Assist Project Management team to help define and organize tasks across the sprints by participating in sprint planning and story point estimation. Mentor and guide the team members on the cloud technologies. Must have skills: Bachelor's degree in Engineering or a related technical field, or equivalent practical experience. 8+ years of experience in the industry with good exposure to Cloud,DevOps, and Automation. 4+ years of experience in designing and architecting public/private cloud preferably AWS Certified in Solutions Architect Professional and/or Specialty in AWS. Must have good knowledge on core infrastructure domains like Networking, Compute, Security, Backup and Monitoring. Proficient in one or more of the following IaC tools Ex: AWS CloudFormation, Terraform, or Ansible. Proficient in one or more of the following scripting languages - Shell, Python, Ruby, Golang, Powershell, etc. Specialist in one or more of the CI/CD tools Azure DevOps, Jenkins, Gitlab CI, Github Actions, Bitbucket Pipelines. Proficient in various Cloud security tools and their usage. Exposure to containers and container orchestration using Docker,Kubernetes, or any cloud managed Kubernetes services such asAWS ECS,Fargate, EKS, etc. Exposure to AWS Serverless technology Lambda, Step Function, etc. Exposure to cloud security posture assessment (CSPA) and provide recommendations (AWS Security Hub). Exposure to AWS Well-Architected Framework and their application and recommendation. Expert in Business Continuity plans and related designs (DR). Exposure to cloud infrastructure cost management and optimization. Experience on setting up Datacentre to AWS Cloud connectivity using Site-to-Site VPN and/or Direct Connect. Experience in large scale migrations to cloud, with exposure to end-to- end migration methodology from Discovery, Build & Migration phases Interested candidates can share the profile for Yamuna.k@harita.co.in

So, what’s the role all about? As a Specialist Cloud Operations Engineer, you will play a critical role in managing the Evidencentral cloud platform, a mission-critical, cloud-native solution serving Public Safety Customers globally. Your responsibilities will include deploying new systems, upgrading existing software and infrastructure in line with release cycles, and maintaining key platform services. With a strong focus on Azure alerting, cost management, and ensuring high availability, optimize cloud performance, and safeguard the reliability and scalability of the digital evidence solutions used in real-world law enforcement operations. How will you make an impact? Ensure timely deployment of new tenants and system upgrades in alignment with the software release schedule, ensuring all prerequisites are identified and requirements are gathered in advance. Review release notes to assess changes, conduct local validations, and mitigate potential deployment risks before rollout to production environments. Maintain accurate documentation and records of all configuration changes, adhering to change management and compliance standards. Proactively identify, report, and track defects or anomalies through incident management processes in collaboration with engineering and product teams. Manage Azure cloud infrastructure, including access control, certificate lifecycle, and policy enforcement to ensure secure and compliant operations. Deploy and optimize Azure alerting mechanisms to reduce noise, eliminate false positives, and deliver actionable insights. Conduct regular audits to identify and decommission unused services/resources, and drive cost-optimization strategies to meet cloud budget targets. Analyze alert trends to recommend performance improvements, including right-sizing or scaling resources using cost-effective solutions. Lead root cause analysis (RCA) and Serious Incident Reviews after service disruptions, ensuring lessons learned are applied to prevent future incidents. Forecast cloud costs based on current usage and anticipated growth, providing strategic insights to stay within budget while supporting scalability. Have you got what it takes? 8–12 years of experience in cloud Operations, Microsoft Azure Infrastructure. Strong hands-on experience with Azure services, including monitoring, deployments, access & certificate management. Proficiency in scripting using PowerShell, Bison, and LinqPad for automation and deployments. Experience managing Azure Windows Server environments and administering Azure SQL databases. Experience in configuring Application Monitoring and Dashboards (e.g., Grafana, Kibana). Experience working in an ITIL environment (e.g., Incident Management, Change Management). Cost management experience, including cloud budgeting, forecasting, and optimizing Azure spend. Understanding of Azure DevOps for CI/CD pipelines and automated deployment processes. Strong communication and stakeholder collaboration skills across Cloud Services, Product, Engineering, and Professional Services. Fluent in written and spoken English with the ability to document technical issues and resolutions. You will have an advantage if you also have: Microsoft Certified: Azure Administrator Associate (AZ-104) Azure Solutions Architect Expert (AZ-305) Azure Security Engineer Associate (AZ-500) FinOps Practitioner (Nice to have) What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr! Enjoy NICE-FLEX! At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID: 7123 Reporting into: Director Role Type: Individual Contributor

About the Position - The DevOps Engineer supports the Cloud Platforms Manager by delivering and supporting Cloud Platform, Infrastructure and CICD services.This role involves designing, coding, test and, deploying infrastructure as code. The engineer oversees the full life cycle of Infrastructure as Code (IaC) activities related to systems and subscriptions for cloud environments, including computing, storage, network, connectivity, and security. Required Skills and Qualifications : - At least 2-3 years experience working with Cloud technologies At least 1 years experience working in DevOps and automation environments Experience in Financial Service (highly desirable). Experience in assisting organisation in developing key cloud adoption strategies. Familiarity with Terraform AZ-204 Microsoft Certified: Azure Developer Associate highly desirable. Responsibilities : - Design, code, test, deploy, and manage scalable and secure cloud infrastructure. Implement automation for cloud infrastructure provisioning and maintenance. Monitor and optimise cloud resource utilisation and costs. Develop and maintain continuous integration and continuous deployment (CI/CD) pipelines. Ensure smooth and reliable deployment of applications and updates. Provide training and support to development teams on DevOps tools and processes. Maintain and improve infrastructure-as-code (IaC) practices using tools like Terraform or Bicep. Produce and maintain detailed technical documentation. Prioritise workload and manage numerous initiatives at once. Prioritise system and configuration changes, making informed decisions based on business, compliance, and risk requirements. Enable the delivery of system changes through co-ordination & adoption of Angle Finances IT Change Management framework.

Why this job matters Pleased to inform you that we have successfully identified the candidate for the Cloud Engineering Specialist role. We need to transform aspects of Mobile Networks to take full advantage of the new evolving 5G eco-system. With software centricity, telco cloud and data, we can create a Digital Mobile Platform to enable monetisation of 5G while delivering a cost-effective, highly optimised intelligent network. This role is key to our goal of transforming our Operating Model strategies through aligned data analytics capabilities and digital solutions. You will be working in a software engineering development team in charge of BT Mobile networks, with the responsibility of rolling out 5G networks across the UK, automating the mobile network roll-out, developing mobile 5G network applications, API development and data-driven Operations using machine learning and AI. This new role aligns with BTs mobile network strategy to achieve end-to-end digital transformation. This role is part of the offshore unit in Mobile Systems Development and based in Bangalore Pritech Office with an opportunity for hybrid working (3days in the office and 2days wherever you like). What youll be doing Accountabilities: Leads cloud system design activities and/or reviews system designs to assure that solutions will exhibit expected levels of performance, security, scalability, security, maintainability, appropriate reusability and reliability upon deployment. Manages automation initiatives of cloud infrastructure provisioning and configuration management, self-service, infrastructure-as-code services, auto scale initiatives, and DevOps deployment. Communicates with key stakeholders to influence the adoption of cloud-native systems and helps to inform stakeholders on how to use platform capabilities effectively through appropriate venue. Delivers consultative advice through advanced technical knowledge on system architecture and recommend solutions in alignment with systems engineering best practices Leads the collaboration with quality assurance and technical writers to complete development cycle Leads the collaboration with business stakeholders and product owners to scope and de-risk development activities in advance Executes complex data analyses to make decisions on where to invest and iterate on efficiency and cloud management tools Drives a risk-aware culture and ensures efficient and effective risk and compliance management practices by adhering to required standards and processes Ensures efficient functioning of data storage and processing functions in accordance with company security policies and best practices in cloud security Identifies, analyses, and resolves complex infrastructure vulnerabilities and application deployment issues independently Champions, continuously develops and shares with team knowledge on emerging trends and changes in cloud engineering best practices and industry standards Mentors other cloud engineers, helping to improve the teams abilities by acting as a technical resource.

Role & responsibilities Job Summary: Working knowledge of cloud infrastructure (Azure/AWS/GCP), network security, firewalls, and endpoint protection tools. IT Helpdesk & Operations Management Direct daily IT helpdesk operations, including incident management, problem resolution, and service request fulfillment. Monitor SLAs, ticketing workflows, and user satisfaction to ensure service excellence. Job Description: Working knowledge of cloud infrastructure (Azure/AWS/GCP), network security, firewalls, and endpoint protection tools. IT Helpdesk & Operations Management Direct daily IT helpdesk operations, including incident management, problem resolution, and service request fulfillment. Monitor SLAs, ticketing workflows, and user satisfaction to ensure service excellence. Knowledge of ISTM VPC, EC2, ELB, Auto Scaling, Route 53, IAM, Amazon LightSail, CloudWatch, CloudFront, SNS, SES, RDS, EKS. Document DB, Amazon certificate Manager, AWS backup, S3, CloudWatch Google Firebase, Google Analytics, Google Ads, Google Merchant Center, Google SourceTree. Google My business, Google Tag Manager, Google Map. Please complete the following questions to proceed further. Preferred candidate profile Perks and benefits

Position Description: Require GCP Cloud Infra Engineer with the below skills, • Creating and using cloud-native solutions • Establishing criteria with key stakeholders • Identifying weak points in systems and infrastructure • Creating mitigation plans • Assisting the security team • Overseeing the implementation of services or solutions • Creating and managing monitoring, capacity planning, configuration management, and scaling • Creation of CI-CD pipeline and workflow Monitor skill to fix the system performance and Dynatrace log monitoring - SRE Dashboard creation for all API services Skills Required: CI-CD, Cloud Function, GitHub, Cloud Computing, Cloud Infrastructure, Google Cloud Platform Skills Preferred: Cloud Architecture Experience Required: 5+ Years Bachelor's Degree

Key Responsibilities: Design and implement robust infrastructure security architecture across on-prem and cloud environments (AWS, Azure, GCP). Conduct regular vulnerability assessments and penetration testing; prioritize and remediate security risks. Develop, maintain, and enforce security hardening guidelines for servers, networks, and endpoints. Monitor infrastructure for potential security threats using SIEM, IDS/IPS, and endpoint protection tools. Collaborate with DevOps and Cloud teams to integrate security into CI/CD pipelines and Infrastructure as Code (IaC). Investigate security incidents and lead incident response efforts, including root cause analysis and containment. Define and implement network segmentation, access control policies, and firewall configurations. Ensure compliance with regulatory frameworks such as ISO 27001, NIST, PCI-DSS, GDPR, etc. Automate security tasks and reporting wherever possible. Provide mentorship to junior engineers and participate in security awareness initiatives across the organization. Required Skills & Qualifications: Bachelors degree in Computer Science, Information Security, or a related field (or equivalent experience). 5+ years of hands-on experience in infrastructure or cyber security roles. Strong knowledge of network protocols, firewalls, IDS/IPS, VPNs, proxies, and load balancers. Proven experience securing Linux, Windows, and containerized environments (Docker/Kubernetes). Expertise with security tools such as Splunk, Wireshark, Nessus, CrowdStrike, and Palo Alto firewalls. Deep understanding of cloud security principles (AWS, Azure, or GCP). Proficiency with IaC and configuration management tools like Terraform, Ansible, or CloudFormation. Familiarity with frameworks such as NIST, MITRE ATT&CK, CIS Benchmarks. Excellent problem-solving, analytical, and communication skills.

Role Proficiency: Act creatively to develop applications and select appropriate technical options optimizing application development maintenance and performance by employing design patterns and reusing proven solutions account for others' developmental activities Outcomes: Interpret the application/feature/component design to develop the same in accordance with specifications. Code debug test document and communicate product/component/feature development stages. Validate results with user representatives; integrates and commissions the overall solution Select appropriate technical options for development such as reusing improving or reconfiguration of existing components or creating own solutions Optimises efficiency cost and quality. Influence and improve customer satisfaction Set FAST goals for self/team; provide feedback to FAST goals of team members Measures of Outcomes: Adherence to engineering process and standards (coding standards) Adherence to project schedule / timelines Number of technical issues uncovered during the execution of the project Number of defects in the code Number of defects post delivery Number of non compliance issues On time completion of mandatory compliance trainings Outputs Expected: Code: Code as per design Follow coding standards templates and checklists Review code - for team and peers Documentation: Create/review templates checklists guidelines standards for design/process/development Create/review deliverable documents. Design documentation r and requirements test cases/results Configure: Define and govern configuration management plan Ensure compliance from the team Test: Review and create unit test cases scenarios and execution Review test plan created by testing team Provide clarifications to the testing team Domain relevance: Advise Software Developers on design and development of features and components with a deep understanding of the business problem being addressed for the client. Learn more about the customer domain identifying opportunities to provide valuable addition to customers Complete relevant domain certifications Manage Project: Manage delivery of modules and/or manage user stories Manage Defects: Perform defect RCA and mitigation Identify defect trends and take proactive measures to improve quality Estimate: Create and provide input for effort estimation for projects Manage knowledge: Consume and contribute to project related documents share point libraries and client universities Review the reusable documents created by the team Release: Execute and monitor release process Design: Contribute to creation of design (HLD LLD SAD)/architecture for Applications/Features/Business Components/Data Models Interface with Customer: Clarify requirements and provide guidance to development team Present design options to customers Conduct product demos Manage Team: Set FAST goals and provide feedback Understand aspirations of team members and provide guidance opportunities etc Ensure team is engaged in project Certifications: Take relevant domain/technology certification Skill Examples: Explain and communicate the design / development to the customer Perform and evaluate test results against product specifications Break down complex problems into logical components Develop user interfaces business software components Use data models Estimate time and effort required for developing / debugging features / components Perform and evaluate test in the customer or target environment Make quick decisions on technical/project related challenges Manage a Team mentor and handle people related issues in team Maintain high motivation levels and positive dynamics in the team. Interface with other teams designers and other parallel practices Set goals for self and team. Provide feedback to team members Create and articulate impactful technical presentations Follow high level of business etiquette in emails and other business communication Drive conference calls with customers addressing customer questions Proactively ask for and offer help Ability to work under pressure determine dependencies risks facilitate planning; handling multiple tasks. Build confidence with customers by meeting the deliverables on time with quality. Estimate time and effort resources required for developing / debugging features / components Make on appropriate utilization of Software / Hardware's. Strong analytical and problem-solving abilities Knowledge Examples: Appropriate software programs / modules Functional and technical designing Programming languages - proficient in multiple skill clusters DBMS Operating Systems and software platforms Software Development Life Cycle Agile - Scrum or Kanban Methods Integrated development environment (IDE) Rapid application development (RAD) Modelling technology and languages Interface definition languages (IDL) Knowledge of customer domain and deep understanding of sub domain where problem is solved Additional Comments: Who we're looking for: We are seeking an expert Platform Engineer to join our Internal Developer Platform (IDP) team at the forefront of creating innovative solutions. You will play a critical role in building and refining our IDP capabilities, leveraging your extensive experience in back-end development, cloud engineering, and stakeholder collaboration to drive success across our organisation. What you'll do: - Design, develop, and maintain our internal developer platform, harnessing cloud services (predominantly Azure and AWS) to provide scalable and resilient solutions. - Collaborate with cross-functional teams to define clear requirements and execute a refined product backlog, ensuring alignment with business goals. - Use your mastery of Python and experience with React to create robust back end and UI solutions, prioritising performance and user experience. - Leverage tools such as Terraform, ArgoCD, etc. for cloud infrastructure and continuous delivery improvement. - Drive continuous improvement in system reliability, observability, and automation within a distributed technology environment. - Engage with stakeholders to analyse needs and deliver solutions that meet and exceed service-level expectations. The knowledge, experience, and qualifications you need: - Mastery in back-end development with Python. - Proven experience in UI/UX development using React, ideally with Material UI frameworks. - In-depth knowledge of Internal Developer Platform architecture, with experience in platforms like Backstage. - Practical experience in cloud architecture with a focus on AWS and Azure. - Proficiency in cloud infrastructure technologies such as Terraform, ArgoCD, etc. - Familiarity with continuous delivery tools, such as ADO Pipelines, and GitHub Actions. - Strong understanding of distributed systems with proven performance, scalability, and resiliency expertise. - Experience working closely with stakeholders to perform requirements analysis and product backlog definition. - Agile delivery experience, including a comprehension of testing approaches like TDD. The knowledge, experience and qualifications that will help: - Previous experience in cloud-native platform solutions. - Familiarity with modern DevOps practices and agile methodologies. - Exposure to self-healing infrastructure and automation techniques. - Keen interest in developer experience optimisation within an organisational context. Required Skills Python,React,Aws

Role & responsibilities This role requires a seasoned technical leader who has evolved from a hands-on developer to a manager, and who embraces AI as a fundamental accelerator of the software development lifecycle. The manager will lead a team of full-stack engineers, setting technical direction and ensuring high-velocity execution by leveraging the latest AI tools and agentic workflows. Key responsibilities include: Champion an AI-First Development Culture: Lead the adoption, integration, and optimization of AI-driven coding tools (e.g., Claude Code and emerging autonomous agents) across the engineering team. Continuously evaluate and implement new AI tools to maximize productivity. Architectural Leadership & Problem Solving: Define the technical approach for complex projects spanning both frontend and backend systems. Provide architectural oversight and guidance to ensure solutions are scalable, maintainable, and efficient. Hands-On Technical Deep Dive: Act as the primary technical escalation point. If the team is blocked, you must be capable of diving into the codebase, debugging complex issues, and developing solutionseither directly or by effectively leveraging AI assistants for rapid prototyping and troubleshooting. Team Management and Mentorship: Manage and mentor a team of software engineers. Foster a culture of continuous learning, specifically guiding the team on effective prompt engineering and maximizing the utility of AI tools. Project Execution and Delivery: Oversee the end-to-end development lifecycle. Ensure timely delivery of high-quality software by optimizing workflows and removing bottlenecks. Cross-Functional Collaboration: Work closely with Product Managers and stakeholders to translate business requirements into technical execution plans. Preferred candidate profile Functional competencies (Must have skill): Strong Coding Foundations: High proficiency in at least one major backend language (e.g., Python, Java) AND familiarity with frontend frameworks (e.g., React). AI Tool Proficiency: Demonstrated experience using and integrating AI coding assistants (e.g., Claude Code, CLI agents) into daily workflows. System Design & Architecture: Proven ability to design scalable, distributed systems (understanding of microservices, databases, cloud architecture). Cloud Platforms: Experience with AWS, Azure, or GCP. DevOps Principles: Strong understanding of CI/CD pipelines, Git, and infrastructure as code. Technical Team Leadership: Prior experience managing or leading a software engineering team. Good to Have: Agentic Workflows: Experience experimenting with or deploying autonomous coding agents (e.g., Jules, OpenAI Codex). Data Engineering Basics: Understanding of ETL processes and data warehousing. Vector Databases & RAG: Familiarity with concepts of embeddings and vector search Education : BE/B.Tech/ME/M.Tech in Computer Science or related field. Institutes : Tier 1 / Tier 2 preferred.

Posted On 04th Jun, 2025 : We are looking for a skilled Cloud Developer to design, develop, and maintain cloud-based applications and solutions. You will work with a diverse technology stack, ensuring scalability, security, and efficiency in our cloud infrastructure. The ideal candidate has experience in cloud computing, software development, and system integration, along with strong problem-solving skills. Develop, deploy, and maintain cloud-based applications and services. Write, compile, and test software code to ensure functionality and performance. Design and implement scalable, secure, and high-performance cloud architectures. Investigate and resolve software bugs, performance issues, and other problem areas. Document software solutions through flowcharts, diagrams, layouts, code comments, and documentation. Ensure software adheres to best practices, security guidelines, and industry standards. Stay up to date with emerging cloud technologies and best practices. Deliverables Functional and efficient software solutions for web and cloud . Well-documented software, including code comments, flowcharts, and design specifications. Scalable and secure cloud-based architectures that meet business and user needs. Continuous improvements to software based on feedback and performance analysis. About the Ideal Candidate Educational Qualification - BTech/BE, MCA. Proven experience in operational transactions Software engineer, experience of 3- 5 years Proven experience in cloud development and software engineering. Understanding of software development processes, debugging, and testing methodologies. Strong problem-solving skills and ability to analyze technical challenges. Excellent teamwork and communication skills. Strong programming skills in Go, JavaScript and TypeScript . Experience with React. Experience with serverless architecture. Experience with cloud platforms, particularly AWS . Familiarity with version control systems like Git . Knowledge of CI/CD pipelines and automation. Familiarity with infrastructure as code (IaC), specifically AWS CDK. Experience working in an Agile development environment. Key Skills : Company Profile Our --- environment solutions provide an end-to-end service that increases efficiency in port approach, berthing, docking, and mooring.

Primary Skills Design, develop, and deploy cloud-based applications using .NET Core / .NET Framework on Microsoft Azure. Build and maintain scalable APIs and microservices hosted on Azure App Services, Azure Functions, or Azure Kubernetes Service (AKS). Integrate Azure services such as Azure SQL, Blob Storage, Key Vault, and Service Bus into application architecture. Implement CI/CD pipelines using Azure DevOps for automated builds, testing, and deployments. Ensure application security using Azure Active Directory, OAuth, and role-based access control (RBAC). Optimize application performance and scalability using Azure Monitor, Application Insights, and caching strategies. Collaborate with architects and DevOps teams to design cloud-native solutions and infrastructure. Write clean, maintainable, and testable code following SOLID principles and industry best practices. Participate in code reviews and provide technical guidance to peers and junior developers. Troubleshoot and resolve issues in development, staging, and production environments. Secondary Skills Assist in migrating on-premise applications to Azure cloud infrastructure. Support infrastructure automation using ARM templates, Bicep, or Terraform. Stay current with Azure updates, .NET advancements, and emerging cloud technologies. Participate in Agile ceremonies such as sprint planning, daily stand-ups, and retrospectives. Collaborate with QA teams to ensure comprehensive testing and quality assurance. Contribute to internal knowledge sharing, documentation, and technical workshops. Help optimize cloud costs by analyzing resource usage and recommending improvements. Provide support during UAT, production releases, and post-deployment monitoring. Work with cross-functional teams to align cloud solutions with business goals. Assist in developing internal tools and reusable components to accelerate development.

Primary Skills Design, develop, and maintain scalable web applications using .NET Core / .NET Framework. Build and deploy cloud-native applications on Microsoft Azure using services like App Services, Azure Functions, and Azure SQL. Develop RESTful APIs and integrate with third-party services and internal systems. Implement secure authentication and authorization using Azure Active Directory and OAuth. Utilize Azure DevOps for CI/CD pipelines, version control, and automated deployments. Optimize application performance and scalability using caching, asynchronous programming, and Azure monitoring tools. Write clean, maintainable, and testable code following SOLID principles and design patterns. Collaborate with cross-functional teams including architects, QA, and business analysts to deliver high-quality solutions. Conduct code reviews and provide mentorship to junior developers. Ensure compliance with security standards, data protection regulations, and best practices Secondary Skills Assist in migrating legacy applications to Azure cloud infrastructure. Monitor and troubleshoot production issues, ensuring high availability and reliability. Participate in sprint planning, daily stand-ups, and retrospectives in an Agile environment. Create and maintain technical documentation for architecture, design, and deployment processes. Stay updated with the latest trends and advancements in .NET and Azure technologies. Support the evaluation and adoption of new tools, frameworks, and methodologies. Collaborate with DevOps and infrastructure teams to improve deployment and monitoring strategies. Contribute to internal knowledge-sharing sessions and technical workshops. Assist in cost optimization efforts by analyzing Azure resource usage and recommending improvements. Provide technical support and guidance during client demos, UAT, and post-deployment phases.

Certified AWS Consultant with hands-on experience in AI platform development projects Experience in setting up, maintaining, and developing cloud infrastructure Proficiency with Infrastructure as Code tools such as CloudFormation and/or Terraform Strong knowledge of AWS services including SageMaker , S3 , EC2 , etc. In-depth proficiency in at least one high-level programming language ( Python , Java , etc.) Good understanding of data analytics use cases and AI/ML technologies Primary Skills SageMaker,S3, EC2 CloudFormation / Terraform Java/Python AI/ML

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Oracle Cloud Infrastructure Administration Good to have skills : Oracle Cloud Infrastructure ArchitectureMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :Technical/Environment LeadAs an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve overseeing the application development process and ensuring successful implementation. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Expected to provide solutions to problems that apply across multiple teams- Lead the application development process- Provide guidance and support to the team- Ensure successful implementation of applications Professional & Technical Skills: - Must To Have Skills: Proficiency in Oracle Cloud Infrastructure Administration, CCS, OFS, WACS, ERP , primavera application admin (Technical).- Good To Have Skills: Experience with Oracle Cloud Infrastructure Architecture- Strong understanding of cloud infrastructure administration- Experience in designing and configuring applications on Oracle Cloud Infrastructure- Knowledge of cloud security best practices- Administer and support Oracle SaaS applications (ERP, EPM, CCS, CX, WACS, OFS, Primavera Cloud).- Expert understanding of Oracle Integration Cloud (OIC), BI Publisher, and security administration.Strong troubleshooting skills and experience in multi-team collaboration.- Excellent communication and documentation skills.- Exposure to PaaS-based customizations or Oracle VBCS/ADF.(Preferred)- Experience in regulated industries (Utilities or Public Sector).(Preferred)- Understand Business requirement to Onboard Applications in OCI and prepare architecture diagramsSaaS (ERP) / PaaS (OIC, ATP, ADW ) Administration- Refresh of SaaS / PaaS Environment from Production- SaaS (ERP and other cloud application) Post refresh activities.- Create and Manage Object Storage for Saas applications Additional Information:- The candidate should have a minimum of 12 years of experience in Oracle Cloud Infrastructure Administration- This position is based at our Mumbai office- A 15 years full-time education is required Qualification 15 years full time education

Project Role : Application Support Engineer Project Role Description : Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems. Must have skills : Network Infrastructures, Aruba ClearPass Network Securi Good to have skills : Cloud InfrastructureMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Support Engineer, you will act as software detectives, providing a dynamic service that identifies and resolves issues within various components of critical business systems. Your typical day will involve collaborating with team members to troubleshoot problems, analyzing system performance, and ensuring the seamless operation of network infrastructures. You will engage with stakeholders to understand their needs and provide timely solutions, contributing to the overall efficiency and reliability of business operations. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the development and implementation of best practices for network management.- Monitor system performance and proactively identify areas for improvement. Professional & Technical Skills: - Must To Have Skills: Proficiency in Network Infrastructures.- Good To Have Skills: Experience with Cloud Infrastructure.- Strong understanding of network protocols and architectures.- Experience with troubleshooting network connectivity issues.- Familiarity with network monitoring tools and techniques. Additional Information:- The candidate should have minimum 3 years of experience in Network Infrastructures.- This position is based at our Noida office.- A 15 years full time education is required. Qualification 15 years full time education

Job OverviewBranch launched in India in early 2019 and has seen rapid adoption and growth. We are expanding our product portfolio as well as our user base in all our markets including India. We are looking for talented Machine Learning Engineers to join us and be part of this journey. You will work closely with other Engineers, Product Managers, and underwriters to develop, improve, and deploy machine learning models and to solve other optimization problems. We make extensive use of machine learning in our credit product, where it is used (among other things) for underwriting and loan servicing decisions. We are also actively exploring other applications of Machine Learning in some of our newer products, with the ultimate goal of improving the user experience.Machine Learning sits at the intersection of a number of different disciplines: Computer Science, Statistics, Operations Research, Data Science, and others. At Branch, we fundamentally believe that in order for Machine Learning to be impactful, it needs to be closely embedded into the rest of the product development and software engineering process, which is why we emphasize the importance of software engineering skills and experience for this role.As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data. As an engineering team, we value bottom-up innovation and decentralized decision-making. We believe the best ideas can come from anyone in the company, and we are working hard to create an environment where everyone feels empowered to propose solutions to the challenges we face. We are looking for individuals who thrive in a fast-moving, innovative, and customer-focused setting. Responsibilities Credit Decisions: Core to our business is understanding and building signals from unstructured and structured data to identify good borrowers.Customer Service: Using machine learning and LLM/NLP, automate customer service interactions and provide context to our customer service team.Fraud Prevention: Identify patterns of fraudulent behavior and build models to detect and prevent these behaviors.Team work: Bring your experience to bear on the technical direction and abilities of the team, and work cross-functionally with policy and product teams as we improve processes and break new ground. Qualifications2+ years of hands-on experience building software in a production environment. Startup or early-stage team experience is preferred.Excellent software engineering and programming skills, especially Python and SQL.A diverse range of data skills, including experimentation, statistics, and machine learning, and have used these skills to inform business decisions.A deep understanding of using cloud computing infrastructure and data pipelines in production.Self motivation: You teach yourself new skills. You take the initiative to solve problems before they arise. You roll up your sleeves and get stuff done.Team motivation: You listen to others, speak your mind, and ask the right questions. You are a great collaborator and teacher.The drive to make a positive impact on customers' lives.

Project Role : Technology Platform Engineer Project Role Description : Creates production and non-production cloud environments using the proper software tools such as a platform for a project or product. Deploys the automation pipeline and automates environment creation and configuration. Must have skills : Microsoft Azure Data Services Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Technology Platform Engineer, you will be responsible for creating both production and non-production cloud environments utilizing appropriate software tools tailored for specific projects or products. Your typical day will involve deploying automation pipelines and automating the processes of environment creation and configuration, ensuring that all systems are optimized for performance and reliability. You will collaborate with various teams to ensure that the cloud infrastructure meets the needs of the organization and contributes to the overall success of projects. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in troubleshooting and resolving issues related to cloud environments.- Collaborate with cross-functional teams to ensure seamless integration of cloud services. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure Data Services.- Good To Have Skills: Experience with cloud security best practices.- Familiarity with Infrastructure as Code tools such as Terraform or Azure Resource Manager.- Understanding of cloud networking concepts and services.- Experience in monitoring and optimizing cloud performance. Additional Information:- The candidate should have minimum 3 years of experience in Microsoft Azure Data Services.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Cloud Infrastructure Good to have skills : Infrastructure Service Management, SAP GRC( AC.PC,RM)Minimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Technology Architect, you will review and integrate all application requirements, including functional, security, integration, performance, quality, and operations requirements. You will also review and integrate the technical architecture requirements and provide input into final decisions regarding hardware, network products, system software, and security. Roles & Responsibilities:- Expected to be a SME with deep knowledge and experience.- Should have Influencing and Advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Lead the design and implementation of cloud infrastructure solutions.- Collaborate with stakeholders to understand and define infrastructure requirements.- Ensure the scalability, security, and reliability of cloud infrastructure systems. Professional & Technical Skills: - Must To Have Skills: Proficiency in Cloud Infrastructure.- Strong understanding of cloud service models and deployment models.- Experience with infrastructure automation tools like Terraform or Ansible.- Knowledge of networking concepts and protocols.- Hands-on experience with cloud security best practices. Additional Information:- The candidate should have a minimum of 15 years of experience in Cloud Infrastructure.- This position is based at our Mumbai office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Cloud Technical Architect Project Role Description : Develop and deliver agile and cost effective hosting solutions. Implement scalable, high performance hosting solutions that meet the need of todays corporate and digital applications using both private and public cloud technologies. Plan and deliver legacy infrastructure transformation and migration to drive next-generation business outcomes. Must have skills : SAP ABAP Development for HANA Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education and good to have certification Summary :As a Cloud Technical Architect, you will develop and deliver agile and cost-effective hosting solutions. Implement scalable, high-performance hosting solutions using private and public cloud technologies. Plan and deliver legacy infrastructure transformation and migration to drive next-generation business outcomes. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Lead the technical architecture design and implementation.- Ensure compliance with security and data privacy regulations.- Conduct regular reviews and assessments of cloud infrastructure performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP ABAP Development for HANA.- Strong understanding of cloud technologies and architectures.- Experience in designing and implementing scalable cloud solutions.- Knowledge of security best practices in cloud environments.- Hands-on experience with cloud migration and transformation projects. Additional Information:- The candidate should have a minimum of 5 years of experience in SAP ABAP Development for HANA.- This position is based at our Pune office.- A 15 years full-time education and good to have certification is required. Qualification 15 years full time education and good to have certification

Expected Notice Period: 15 Days Shift: (GMT+05:30) Asia/Kolkata (IST) Opportunity Type: Remote What do you need for this opportunity Must have skills required: Cloud Infrastructure, Unit Testing, Micro services, Node Js, AWS, Mongo DB, Type Script A Series B Funded Innovative Device Trade-In Company - Netherlands is Looking for: About the role As an ideal candidate, you must be a problem solver with solid experience and knowledge in Node.js TypeScript. Youll be the brain behind crafting, developing, testing, going live and maintaining the system. You must be passionate in understanding the business context for features built to drive better customer experience and adoption. Our tech stack Node.js, TypeScript, MongoDB, AWS, AWS SQS, Microservices, and Kubernetes Requirements 1. At least 4 years of experience with Node.js TypeScript 2. In-depth knowledge of microservices architecture and unit testing 3. A deep understanding of the Node.js Event Loop 4. Expertise in document-oriented databases, especially MongoDB 5. Experience in designing, building, and scaling back-end systems on cloud infrastructure 6. Strong commitment to improving product experience and user satisfaction Responsibilities 1. Consistently write high-quality, efficient code 2. Develop and maintain a comprehensive suite of automated tests, including unit, integration, E2E, and functional tests 3. Perform code reviews and ensure adherence to design patterns and the organization's coding standards 4. Mentor junior developers, contributing to their technical growth 5. Collaborate with product and design teams to build user-focused solutions 6. Identify, prioritize, and execute tasks in the software development life cycle 7. Develop tools and applications by producing clean, efficient code 8. Troubleshoot, debug, and upgrade existing software 9. Recommend and execute improvements 10 . Collaborate with multidisciplinary teams to understand requirements and develop new solutions.

Job Overview Branch launched in India in early 2019 and has seen rapid adoption and growth. We are expanding our product portfolio as well as our user base in all our markets including India. We are looking for talented Machine Learning Engineers to join us and be part of this journey. You will work closely with other Engineers, Product Managers, and underwriters to develop, improve, and deploy machine learning models and to solve other optimization problems. We make extensive use of machine learning in our credit product, where it is used (among other things) for underwriting and loan servicing decisions. We are also actively exploring other applications of Machine Learning in some of our newer products, with the ultimate goal of improving the user experience.Machine Learning sits at the intersection of a number of different disciplines: Computer Science, Statistics, Operations Research, Data Science, and others. At Branch, we fundamentally believe that in order for Machine Learning to be impactful, it needs to be closely embedded into the rest of the product development and software engineering process, which is why we emphasize the importance of software engineering skills and experience for this role.As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data. As an engineering team, we value bottom-up innovation and decentralized decision-making. We believe the best ideas can come from anyone in the company, and we are working hard to create an environment where everyone feels empowered to propose solutions to the challenges we face. We are looking for individuals who thrive in a fast-moving, innovative, and customer-focused setting.ResponsibilitiesCredit Decisions: Core to our business is understanding and building signals from unstructured and structured data to identify good borrowers.Customer Service: Using machine learning and LLM/NLP, automate customer service interactions and provide context to our customer service team. Fraud Prevention: Identify patterns of fraudulent behavior and build models to detect and prevent these behaviors.Team work: Bring your experience to bear on the technical direction and abilities of the team, and work cross-functionally with policy and product teams as we improve processes and break new ground.Qualifications2+ years of hands-on experience building software in a production environment. Startup or early-stage team experience is preferred.Excellent software engineering and programming skills, especially Python and SQL.A diverse range of data skills, including experimentation, statistics, and machine learning, and have used these skills to inform business decisions.A deep understanding of using cloud computing infrastructure and data pipelines in production.Self motivation: You teach yourself new skills. You take the initiative to solve problems before they arise. You roll up your sleeves and get stuff done.Team motivation: You listen to others, speak your mind, and ask the right questions. You are a great collaborator and teacher.The drive to make a positive impact on customers' lives.

Job Overview Branch launched in India in early 2019 and has seen rapid adoption and growth. We are expanding our product portfolio as well as our user base in all our markets including India. We are looking for talented Machine Learning Engineers to join us and be part of this journey. You will work closely with other Engineers, Product Managers, and underwriters to develop, improve, and deploy machine learning models and to solve other optimization problems. We make extensive use of machine learning in our credit product, where it is used (among other things) for underwriting and loan servicing decisions. We are also actively exploring other applications of Machine Learning in some of our newer products, with the ultimate goal of improving the user experience.Machine Learning sits at the intersection of a number of different disciplines: Computer Science, Statistics, Operations Research, Data Science, and others. At Branch, we fundamentally believe that in order for Machine Learning to be impactful, it needs to be closely embedded into the rest of the product development and software engineering process, which is why we emphasize the importance of software engineering skills and experience for this role.As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data. As an engineering team, we value bottom-up innovation and decentralized decision-making. We believe the best ideas can come from anyone in the company, and we are working hard to create an environment where everyone feels empowered to propose solutions to the challenges we face. We are looking for individuals who thrive in a fast-moving, innovative, and customer-focused setting. ResponsibilitiesCredit Decisions: Core to our business is understanding and building signals from unstructured and structured data to identify good borrowers.Customer Service: Using machine learning and LLM/NLP, automate customer service interactions and provide context to our customer service team.Fraud Prevention: Identify patterns of fraudulent behavior and build models to detect and prevent these behaviors.Team work: Bring your experience to bear on the technical direction and abilities of the team, and work cross-functionally with policy and product teams as we improve processes and break new ground.Qualifications2+ years of hands-on experience building software in a production environment. Startup or early-stage team experience is preferred.Excellent software engineering and programming skills, especially Python and SQL.A diverse range of data skills, including experimentation, statistics, and machine learning, and have used these skills to inform business decisions.A deep understanding of using cloud computing infrastructure and data pipelines in production.Self motivation: You teach yourself new skills. You take the initiative to solve problems before they arise. You roll up your sleeves and get stuff done.Team motivation: You listen to others, speak your mind, and ask the right questions. You are a great collaborator and teacher.The drive to make a positive impact on customers' lives.

Job Overview Branch launched in India in early 2019 and has seen rapid adoption and growth. We are expanding our product portfolio as well as our user base in all our markets including India. We are looking for talented Machine Learning Engineers to join us and be part of this journey. You will work closely with other Engineers, Product Managers, and underwriters to develop, improve, and deploy machine learning models and to solve other optimization problems. We make extensive use of machine learning in our credit product, where it is used (among other things) for underwriting and loan servicing decisions. We are also actively exploring other applications of Machine Learning in some of our newer products, with the ultimate goal of improving the user experience.Machine Learning sits at the intersection of a number of different disciplines: Computer Science, Statistics, Operations Research, Data Science, and others. At Branch, we fundamentally believe that in order for Machine Learning to be impactful, it needs to be closely embedded into the rest of the product development and software engineering process, which is why we emphasize the importance of software engineering skills and experience for this role.As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data. As an engineering team, we value bottom-up innovation and decentralized decision-making. We believe the best ideas can come from anyone in the company, and we are working hard to create an environment where everyone feels empowered to propose solutions to the challenges we face. We are looking for individuals who thrive in a fast-moving, innovative, and customer-focused setting.ResponsibilitiesCredit Decisions: Core to our business is understanding and building signals from unstructured and structured data to identify good borrowers.Customer Service: Using machine learning and LLM/NLP, automate customer service interactions and provide context to our customer service team.Fraud Prevention: Identify patterns of fraudulent behavior and build models to detect and prevent these behaviors.Team work: Bring your experience to bear on the technical direction and abilities of the team, and work cross-functionally with policy and product teams as we improve processes and break new ground.Qualifications2+ years of hands-on experience building software in a production environment. Startup or early-stage team experience is preferred.Excellent software engineering and programming skills, especially Python and SQL.A diverse range of data skills, including experimentation, statistics, and machine learning, and have used these skills to inform business decisions.A deep understanding of using cloud computing infrastructure and data pipelines in production.Self motivation: You teach yourself new skills. You take the initiative to solve problems before they arise. You roll up your sleeves and get stuff done.Team motivation: You listen to others, speak your mind, and ask the right questions. You are a great collaborator and teacher.The drive to make a positive impact on customers' lives.

*Design, deploy, and manage cloud infrastructure solutions. *Monitor cloud-based systems to ensure performance, reliability, and security. *Automate processes to streamline operations and reduce manual tasks. Required Candidate profile Experience in Linux System Administration Exposure to AWS /Azure cloud platforms Knowledge of scripting languages like Python, Bash, or similar Understanding of CI/CD pipelines and DevOps practices