Azure Automation Jobs in Bengaluru

Senior Manager, Security Operations Center (SOC) Location: Bangalore Type: Full-Time Experience Required: 8+ Years (3+ in Leadership) Role Overview: Strategic Cyber Defense We are seeking a Senior Manager to lead and modernize our SOC operations across enterprise and product environments. You will oversee a high-performance team dedicated to threat detection, advanced detection engineering, and incident response. This role is a strategic blend of technical mastery leveraging AI and SOAR and people leadership, focused on building a resilient, automation-first security culture. Core SOC Service Offerings & Expertise Advanced Defense & Detection: Detection Engineering: Implement Detection-as-Code practices and prioritize backlogs based on the evolving threat landscape. Threat Intelligence & Hunting: Deliver actionable intel and execute structured threat hunting hypotheses to proactively identify stealthy adversaries. Deception & Validation: Manage deception strategies (honeypots/tokens) and use attack emulation tools to validate detection logic effectiveness. Forensics: Lead digital forensic investigations, evidence acquisition, and post-incident analysis. Automation & Technology Stack: Azure Ecosystem: Advanced proficiency with Microsoft Sentinel, Defender XDR, and Defender for Cloud using KQL. Cloud Operations: Strong knowledge of security operations across Azure, AWS, and preferably GCP. SOAR & AI: Champion the integration of Security Orchestration, Automation, and Response (SOAR) and AI to drive SOC efficiency. Key Responsibilities Leadership & Strategy: Team Development: Coach and mentor the SOC team, conducting regular 1-on-1s and fostering a growth-oriented culture to prevent burnout. Roadmap Execution: Help define a comprehensive SOC strategy and maturity framework aligned with organizational risk management. Stakeholder Liaison: Act as a trusted advisor to Product, IT, and Development leaders to integrate security into cross-functional workflows. Metrics & Operational Excellence: Data-Driven Reporting: Develop dashboards (e.g., Power BI) to track KPIs, KRIs, and detection coverage. Incident Lifecycle: Lead the lifecycle of escalated incidents, conduct root cause analysis, and execute tabletop exercises. 24/7 MDR Strategy: Define operational procedures for Managed Detection and Response (MDR) and sustainable on-call rotations. Qualifications for Success Proven Leadership: 8+ years in InfoSec with specific experience leading SOC or MDR functions. Azure Mastery: Deep technical expertise in the Microsoft security stack. Framework Knowledge: Familiarity with MITRE ATT&CK, Purple Teaming, and cloud-native detection. Soft Skills: Exceptional ability to simplify complex technical content for executive-level communication.

Engineering Manager Location: Bengaluru Hiring is still shaped by outdated processes manual screening, unconscious bias, and delayed feedback. Talview is transforming this with AI that actually works. We build GenAI-powered hiring and assessment platforms that make recruitment faster, fairer, and scalable. Our AI Products Alvy: The world s first AI Proctoring Agent for intelligent global exam monitoring. Ivy: A conversational AI Interviewer delivering unbiased first-round assessments. Impact: 10M+ assessments delivered across 120+ countries. The Role We re looking for an Engineering Manager to lead high-performing teams, drive architectural excellence, and deliver scalable products globally. You ll guide engineers across backend, frontend, QA, and DevOps, while partnering closely with Product and Design to drive meaningful outcomes. What You ll Do Leadership: Lead, mentor, and grow cross-functional engineering teams. Architecture: Own architecture and system design for cloud-native, distributed systems. Excellence: Champion code reviews, testing, automation, and security practices. Operations: Strengthen engineering processes including CI/CD, observability, and monitoring. Delivery: Own delivery outcomes, sprint planning, and team performance. People: Conduct 1:1s, performance reviews, and career development planning. You Might Be a Fit If You Have Required Qualifications: 6+ years of overall engineering experience; 5+ years in backend (Node.js, Go, or Python). 2+ years with Docker, Kubernetes, and public cloud platforms (AWS, GCP, or Azure). 2+ years in Agile delivery environments (Scrum, Squads, or Chapters). 1+ year experience managing a team of 4+ engineers. Deep understanding of cloud monitoring, deployments, and cost optimization. Bonus Points For: Building SaaS or high-scale distributed systems. Experience with AI-assisted coding tools (Cursor, Windsurf, Codex, etc.). Strong system design and architectural fundamentals. Our Culture: The 5Cs We are guided by Collaboration, Commitment, Credence (trust), Customer-centricity, and Candor. We work together, ship quality, and communicate openly. What You Get Competitive compensation and best-in-class hardware. 5-day work week with flexibility. Monthly team lunches and annual offsites. Accelerated growth in a fast-scaling product organization.

Staff Software Engineer AI & Automation Location: Bengaluru Company: Okta, The World s Identity Company Experience: 8+ Years Type: Full-Time About Okta Okta is the world s leading identity platform. We empower people to securely access any technology, anywhere, on any device. With products like the Okta Platform and Auth0, we place identity at the core of business security, enabling growth through safe digital transformation. At Okta, we value diverse perspectives and experiences. We believe in learning, collaboration, and building an inclusive environment where everyone belongs. About the Team The Business Technology - Shared Services team is at the forefront of Okta s internal digital transformation. We focus on building intelligent, automated platforms that simplify operations and deliver smarter, faster experiences to both employees and customers. We collaborate across engineering, data science, security, and business units to deliver cutting-edge solutions powered by Generative AI (GenAI), virtual agents, workflow orchestration, and intelligent recommendations. The Opportunity As a Staff Software Engineer, you ll play a critical role in designing and developing AI-powered platforms that drive automation, scale, and intelligence across Okta s business. You ll help make LLM-powered solutions and intelligent automation a reality for the enterprise ensuring performance, security, and reliability at scale. This is a hands-on, individual contributor (IC) role, ideal for engineers who are passionate about solving complex problems, architecting scalable systems, and pushing the boundaries of AI integration. What You ll Do Design & Build: Develop scalable backend services that embed GenAI and automation into core business workflows (e.g., virtual agents, document intelligence, smart routing). Collaborate Across Teams: Work closely with product managers, data scientists, and other engineers from ideation to production. Architect for Scale: Make key architectural decisions around LLM integration, API design, data flow, and observability. Code with Excellence: Write clean, secure, and maintainable code in Python, Java, or similar languages. Build for Production: Use Docker, Kubernetes, and CI/CD pipelines to build and deploy high-availability services. Champion Best Practices: Promote high standards for testing, security, code reviews, and operational readiness. Mentor & Guide: Support a collaborative team culture through peer mentorship and design reviews. What You ll Bring 8+ years of experience in software engineering with a strong track record of building and maintaining production-grade, cloud-native services. Expertise in distributed systems, API development, and cloud infrastructure (AWS, GCP, or Azure). Proficiency in Python, Java, or Go. Experience with Docker, Kubernetes, and observability tools (e.g., Prometheus, Grafana, ELK). Exposure to AI/ML concepts and eagerness to work with LLMs, NLP, or automation platforms. A strong sense of ownership, collaborative mindset, and a bias toward action. Passion for learning and working with emerging technologies especially in the AI and automation space. Why Join Okta Make AI Real: Help move GenAI from experimentation to enterprise-wide impact. Build with Purpose: Work on challenges that simplify and secure Okta s internal operations. Grow in a Human-Centered Culture: Join a humble, technically driven team that values learning, excellence, and personal growth. Join Okta and shape how identity, AI, and automation come together to power the modern enterprise.

Job Title: Software Engineer Location: Bengaluru Experience Required: 5+ Years Industry: Financial Services / Banking (Preferred) Role Overview: We are seeking a skilled and experienced Software Engineer to join our dynamic development team in Bengaluru. The ideal candidate will bring a strong background in backend development, with an openness to full stack capabilities. You will work closely with cross-functional teams to build scalable, secure, and high-performance financial applications using modern technologies and cloud infrastructure, primarily Azure. Core Responsibilities: Design, develop, and maintain robust backend solutions for financial applications. Collaborate with cross-functional teams to gather requirements, develop solutions, and deliver projects on time. Integrate backend services with intuitive front-end user interfaces for seamless performance. Deploy and manage applications on Azure Cloud, using cloud-native architecture and tools. Apply DevOps practices, including CI/CD, containerization (Docker/Kubernetes), and automation. Ensure code quality through unit testing, peer reviews, and adherence to coding standards. Stay updated on the latest industry trends, tools, and best practices in software engineering. Document solutions and support team learning through mentoring junior developers. Required Qualifications & Experience: Bachelor s degree in Computer Science, Engineering, or a related field. Minimum 5 years of hands-on experience in backend development. Proficient in Java or Python (knowledge of .NET is a plus). Experience with SQL and NoSQL databases and ORM technologies. Proficient in JavaScript and modern front-end frameworks (if full stack). Working knowledge of DevOps pipelines, containerization, and orchestration tools. Proven experience in cloud-native development, ideally with Microsoft Azure. Comfortable using version control systems like Git. Exposure to automation testing frameworks and agile development environments. Strong communication, analytical thinking, and collaboration skills. Preferred Knowledge / Nice to Have: Experience in the financial services or banking domain. Familiarity with platforms like nCino or Mambu. Understanding of financial regulations, standards, and compliance practices. What We Offer: Great Place to Work Certified 6 years in a row Competitive salary and benefits package Access to cutting-edge technology and tools Strong culture of learning, collaboration, and growth Opportunities for professional development and upskilling Work in a supportive and innovative team environment Qualification : Bachelors degree in Computer Science, Engineering, or a related field

Position: Senior QA Engineer (Automation & Telecom) Location: Bangalore, Karnataka, India Department: Advanced Analytics Experience: 3 - 6 Years We're looking for a Senior QA Engineer with 3-6 years of experience, specializing in both automation and manual testing within the telecom domain. If you're proficient with Playwright and understand CI/CD pipelines, you're the ideal candidate to join our Advanced Analytics team. Key Responsibilities: Automate test cases using Playwright for web applications. Conduct manual testing for telecom functionalities (performance, stability). Design and write detailed test cases based on requirements. Manage test execution, defect tracking, and reporting. Collaborate with teams to validate system behavior. Integrate automation into CI/CD pipelines (Jenkins, GitLab CI, Azure DevOps). Ensure quality gates are met before production releases. Perform regression testing, UAT support, and production troubleshooting. Skills You Need: 3+ years QA experience (manual & automation). Strong Playwright or similar automation framework experience. Telecom project experience (BSS/OSS, network provisioning, fraud management, etc.). Knowledge of CI/CD tools (Jenkins, GitLab CI/CD, Azure DevOps). Proficiency in JIRA, TestRail, or similar tools. Familiarity with JavaScript/TypeScript or Python. Experience with Agile/Scrum. Nice to Have: API testing (Postman, REST-assured). Git version control. Cloud platform exposure (AWS, Azure).

Senior Associate Data Engineering L2 Location: Bengaluru, India Department: Engineering Data Employment Type: Full-Time About the Role As a Senior Associate Data Engineering (L2) at Publicis Sapient, you will lead technical solutions that drive digital transformation by building scalable, high-performance data platforms. You ll be responsible for translating business and technical requirements into modern, data-centric solutions using Big Data technologies, cloud services (Azure), and advanced data engineering practices. Key Responsibilities Design and implement data ingestion, integration, and transformation processes from multiple heterogeneous sources in both batch and real-time. Build scalable data platforms using Hadoop stack components such as HDFS, Kafka, Spark, Hive, NiFi, Oozie, Airflow, Flink, and Storm. Develop real-time analytics, aggregation, and search features to support various data-driven applications. Collaborate closely with cross-functional teams on data infrastructure, computation frameworks, and data visualization. Apply cloud-native principles and Azure services to build and deploy data pipelines. Ensure performance optimization and data pipeline tuning. Work with NoSQL and MPP platforms like MongoDB, Cassandra, Redshift, Azure SQL DW, HBase, BigQuery. Contribute to infrastructure, automation, and DevOps for data pipelines using CI/CD practices. Ensure data governance, lineage, and cataloging using tools like Collibra or Alation. Required Qualifications 6 8 years of professional experience in software/data engineering. Minimum of 3 years hands-on experience with Big Data technologies. Strong programming expertise in Java (preferred), Scala, or Python. Expertise in the Hadoop ecosystem and real-time stream processing tools (Kafka, Pulsar, Spark Streaming, etc.). Hands-on experience with Azure data services (e.g., Data Factory, Synapse, ADLS, Databricks). Experience working with modern ETL tools (Informatica, Talend, etc.) and traditional RDBMS platforms (Oracle, PostgreSQL, SQL Server, MySQL). Bachelor's degree in Computer Science, Engineering, or related field. Nice to Have Certifications in Azure Data Engineer, GCP Big Data, or related cloud specializations. Experience with distributed messaging frameworks (ActiveMQ, RabbitMQ, Solace). Familiarity with microservices architecture and search technologies (Elasticsearch). Performance tuning of distributed data processing systems. Exposure to data governance, security, and metadata management. Benefits and Culture at Publicis Sapient Gender-neutral workplace policies 18 paid holidays annually Generous parental leave + new parent transition support Flexible work arrangements Access to Employee Assistance Programs (wellness & well-being) A dynamic culture focused on learning, creativity, and collaboration Qualification : Bachelor's degree in Computer Science, Engineering, or related field.

Job Title: DevOps + Tester Location: Bangalore, India Experience: 4 5 years Industry: IT Services Job Type: Full-time Role Overview This hybrid DevOps + QA role focuses on: Ensuring mobile application performance and reliability. Driving automation, CI/CD, and continuous improvement. Designing and executing automated test scripts and performing integration, regression, and performance testing. Supporting innovation and scalable software deployment in alignment with Rakuten s standards. You ll collaborate closely with development, QA, and operations teams, while improving infrastructure and testing frameworks. Key Skills & Tools CI/CD Tools: Jenkins, Bamboo, Docker Testing: Automation, Integration, Regression, Performance Testing Cloud Platforms: AWS, Azure, GCP Salesforce Ecosystem: 1 2 years hands-on experience preferred API Integration: Including legacy systems Test Scripting Tools: Open-source or commercial frameworks Solid grasp of software architecture, high availability, and transaction-intensive systems Responsibilities Monitor and optimize app performance Develop and maintain automated test scripts Execute integration and regression testing Conduct performance tests during pipeline integration Collaborate across DevOps, development, and QA teams Maintain detailed test documentation Conduct unit tests, code reviews, and QA validations Ensure service quality and customer satisfaction Education & Qualifications Bachelor s degree in CS, IT, Engineering, or related field (required) MBA or advanced degree (preferred) Salesforce Admin or PD certification (preferred) Ideal Candidate Traits Strong DevOps + Testing blend with cloud experience Effective communication with technical and non-technical teams Strategic thinker with planning skills Thrives in fast-paced environments, managing multiple priorities Interview Process 2 Technical Rounds Qualification : Bachelors degree in CS, IT, Engineering, or related field (required)

Job Title: Enterprise Infrastructure Automation Architect Location: Bengaluru, India Experience: 16 20 Years Service Line: Cloud & Infrastructure Services Educational Qualifications: B.E., B.Tech, M.Tech, BCA, MCA, MBA Role Overview: We are looking for a seasoned Enterprise Infrastructure Automation Architect to lead the design and implementation of automation strategies across our global IT infrastructure. This role is pivotal in driving enterprise-wide automation initiatives, streamlining operations, and enabling digital transformation through scalable and secure infrastructure automation solutions. Key Responsibilities: Infrastructure Automation Strategy & Roadmap Define and maintain the enterprise automation strategy aligned with organizational goals and IT objectives. Identify automation opportunities across compute, storage, network, virtualization, cloud, and data center domains. Establish automation goals, KPIs, and success metrics for continuous improvement. Evaluate and recommend emerging automation technologies and frameworks. Solution Design & Architecture Design scalable, secure, and maintainable automation architectures for enterprise infrastructure. Define enterprise-wide automation standards and best practices (e.g., IaC, scripting, orchestration). Select and standardize tools such as Ansible, Terraform, Python, PowerShell, and cloud-native automation services. Build reusable automation frameworks, templates, and modules to ensure consistency. Implementation & Governance Provide architectural oversight and support during implementation and deployment phases. Ensure compliance with automation standards and governance throughout the lifecycle. Participate in project reviews to ensure strategic alignment with enterprise automation goals. Establish governance processes for managing scripts, workflows, and infrastructure-as-code artifacts. Additional Responsibilities: Proven experience in IT Service Management and remote delivery automation environments. Ability to articulate the business value and operational impact of automation initiatives. Self-motivated, creative thinker with excellent problem-solving abilities. Excellent communication skills, both verbal and written. Technical & Professional Requirements: In-depth knowledge of enterprise architecture frameworks (e.g., TOGAF, Zachman). Expertise in infrastructure domains including compute, storage, middleware, backup (on-prem & cloud). Experience with public cloud platforms (AWS, Azure, GCP) and hybrid cloud architectures. Proficiency in security standards and best practices across global IT environments. Hands-on experience with monitoring and orchestration tools. Skilled in creating architecture diagrams and workflow visualizations using tools like MS Visio, Lucidchart, etc.

Cloud Engineer Azure | Bangalore, India Location: Bangalore (Bengaluru) Experience: 2 to 8 Years Industry: IT Software / Cloud Computing Job Summary: We are looking for a skilled Cloud Engineer with expertise in Microsoft Azure to manage, optimize, and support cloud infrastructure solutions. The ideal candidate will have hands-on experience administering Azure cloud environments, implementing security best practices, and automating cloud operations. Key Responsibilities: Administer and support public cloud infrastructure, with at least 2 years of experience in Azure cloud services Manage Azure Compute resources including App Services, Virtual Machines, and Azure Kubernetes Service (AKS) Handle Azure storage and database services such as SQL Database, Blob Storage, and configure Azure Networking components including Azure Firewall, VPN, Load Balancer, and Private Link Utilize Azure native management tools including Azure Blueprints, Azure Policy, Azure Monitor, and backup solutions Implement and monitor security tools such as Azure Security Center, Azure Sentinel, Azure Defender, and manage Azure Key Vault and Azure Active Directory (AAD) Drive automation and Infrastructure-as-Code (IaC) using Azure Automation, Azure DevOps, PowerShell DSC, and scripting languages Develop and maintain automation scripts using Python or PowerShell Collaborate within DevSecOps teams to ensure secure, scalable, and reliable cloud deployments Required Skills: Proven experience with Microsoft Azure cloud services Strong knowledge of Azure Compute, Storage, Database, and Networking services Experience with Azure security tools and best practices Familiarity with Infrastructure-as-Code (IaC) tools and automation frameworks Proficiency in at least one scripting language such as Python or PowerShell Good understanding of cloud security and compliance standards Azure certifications (AZ-104, AZ-303, AZ-500) are highly desirable Preferred Qualifications: Bachelor s degree in Computer Science, Information Technology, or related field Experience with continuous integration and continuous deployment (CI/CD) pipelines Familiarity with DevSecOps culture and tools Work with cutting-edge cloud technologies and global teams Opportunity for continuous learning and professional growth in cloud computing Engage in challenging projects that impact business-critical applications Qualification : Bachelors degree in Computer Science, Information Technology, or related field

Lead DevOps Engineer Location: Bengaluru, India Employment Type: Full-time, Hybrid About Neuron7.ai Neuron7.ai is a rapidly growing AI-first SaaS company that is revolutionizing the world of service intelligence. Backed by top-tier venture capitalists in Silicon Valley and a distinguished group of angel investors, we are recognized as a startup to watch. Our platform enables enterprises to make accurate service decisions at scale by delivering service predictions in seconds through the analysis of both structured and unstructured data. At Neuron7.ai, you will be part of a dynamic and innovative team that is pushing the boundaries of service intelligence. We value creativity, collaboration, and a relentless commitment to innovation. This is your opportunity to make a meaningful impact on cutting-edge products at scale, in a fast-growing startup environment. About the Team Join a passionate team of professionals focused on optimizing our infrastructure, deployment processes, and overall system performance. We foster a culture of continuous improvement, where every team member is encouraged to contribute ideas and drive impactful projects. As a Lead DevOps Engineer, you will play a pivotal role in shaping the evolution of our infrastructure and operational efficiency. What You ll Do: CI/CD Pipelines: Lead the design, implementation, and management of CI/CD pipelines to automate and streamline deployment processes. Collaboration: Work closely with software development and IT teams to enhance workflows and ensure efficient release cycles. System Monitoring: Monitor and troubleshoot system performance to ensure high availability and reliability of applications across environments. Cloud Infrastructure: Architect and manage cloud infrastructure (AWS, Azure, GCP) for scalable, secure, and performant application environments. Automation: Automate infrastructure provisioning and configuration management using tools like Terraform, Ansible, or similar technologies. Security & Compliance: Conduct regular system audits, implement security best practices, and ensure compliance with industry standards. Mentorship: Mentor and guide junior DevOps engineers, fostering a collaborative, knowledge-sharing, and growth-focused environment. Documentation: Document processes, configurations, and standard operating procedures to enhance team efficiency and maintain operational excellence. What We re Looking For: Experience: 8+ years of experience in DevOps engineering or a related field. Cloud Expertise: Extensive knowledge and hands-on experience with cloud platforms (AWS, Azure, GCP) and associated services (EC2, S3, Lambda, etc.). Containerization: Strong experience with containerization technologies such as Docker and Kubernetes for managing microservices. Automation Skills: Proficiency in scripting languages (Python, Bash, Ruby) for automation tasks and infrastructure-as-code management. Monitoring & Logging: Familiarity with monitoring and logging tools such as Prometheus, Grafana, and the ELK stack. Problem-Solving: Excellent problem-solving skills with a proactive, solutions-oriented mindset for resolving operational challenges. Collaboration: Strong communication skills with the ability to work collaboratively across teams and influence operational best practices. What We Do and Value: At Neuron7.ai, we prioritize integrity, innovation, and a customer-centric approach. Our mission is to use advanced AI technology to improve service decision-making and we are committed to delivering excellence in all aspects of our work. Company Perks & Benefits: Competitive salary, equity, and spot bonuses Paid sick leave Latest MacBook Pro for your work Comprehensive health insurance Paid parental leave Work from home or from our vibrant Bengaluru office with flexible work arrangements Our Commitment to Diversity and Inclusion: Neuron7.ai is committed to fostering a diverse and inclusive workplace. We ensure equal employment opportunities without discrimination based on race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, marital status, or any other characteristic protected by law. If you re passionate about optimizing deployment processes, improving infrastructure, and driving operational excellence, we d love to hear from you!

Job Title: Azure Infrastructure Architect Location: Bengaluru, Karnataka, India Department: Engineering About CloudSEK CloudSEK is one of India s leading cybersecurity product companies, focused on leveraging Artificial Intelligence and Machine Learning to identify and resolve digital threats in real-time. With a strong portfolio of products like CloudSEK XVigil, BeVigil, and SVigil, we provide advanced solutions for attack surface monitoring, cybersecurity risk management, and software supply chain protection. We are headquartered in Singapore and have expanded rapidly across India, Southeast Asia, and the Americas. At CloudSEK, we prioritize innovation, agility, and building impactful products that keep our customers ahead of emerging cybersecurity threats. About the Role: Azure Infrastructure Architect CloudSEK is looking for an Azure Infrastructure Architect to design, implement, and optimize cloud infrastructure solutions on Microsoft Azure. The ideal candidate will have deep expertise in Azure services, infrastructure automation, and security best practices, with a strong background in cloud architecture patterns. You will work closely with various stakeholders to align cloud strategies with business objectives, ensuring high availability, security, and scalability of enterprise applications. Key Responsibilities Cloud Architecture & Design: Design and implement highly scalable, resilient, and secure cloud infrastructure solutions on Microsoft Azure. Develop cloud adoption strategies, migration plans, and hybrid cloud architectures to meet business needs. Create architecture blueprints, reference architectures, and best practices tailored to Azure environments. Ensure compliance with the Azure Well-Architected Framework and other industry standards. Infrastructure & Automation: Architect and automate Infrastructure as Code (IaC) using tools like Terraform, ARM templates, Bicep, and Ansible. Implement CI/CD pipelines for infrastructure deployment using Azure DevOps, GitHub Actions, or Jenkins. Automate cloud operations, monitoring, and governance using Azure Automation, PowerShell, and Python. Security & Compliance: Design and enforce Azure security best practices including Azure Policy, RBAC, NSGs, Key Vault, Defender for Cloud, and Sentinel. Ensure adherence to regulatory frameworks like ISO 27001, SOC 2, GDPR, and HIPAA. Perform threat modeling, risk assessments, and define zero-trust architectures. Networking & Hybrid Cloud: Design and optimize Azure Virtual Networks (VNet), ExpressRoute, VPN Gateway, and Load Balancers for seamless operations. Implement hybrid cloud architectures, integrating on-premises data centers with Azure via Azure Arc. Optimize network performance, DNS, CDN, and traffic routing in cloud-native environments. Performance Optimization & Cost Management: Leverage Azure Cost Management to implement cost-effective cloud solutions and manage reserved instances. Optimize cloud resource utilization using Autoscaling, VM sizing, and Serverless computing models. Define and implement cloud governance policies to control costs and improve operational efficiency. Collaboration & Stakeholder Engagement: Collaborate with DevOps, Security, and Application teams to align infrastructure solutions with business needs. Provide technical leadership and guidance to engineering teams, ensuring alignment with industry trends and best practices. Act as a trusted advisor to leadership on cloud strategies, emerging technologies, and technical decision-making. Required Skills & Qualifications Technical Expertise: Azure Services: Experience with Azure Virtual Machines, Azure Kubernetes Service (AKS), Azure Functions, Azure Storage, Azure SQL, CosmosDB, and Azure Networking (VNet, NSG, VPN, ExpressRoute). Automation & IaC: Expertise in Terraform, ARM Templates, Bicep, Ansible, PowerShell, Python. DevOps & CI/CD: Knowledge of Azure DevOps, GitHub Actions, Jenkins, Kubernetes, Docker. Security & Compliance: Familiarity with Azure Security Center, Azure AD, Key Vault, Microsoft Defender for Cloud, Sentinel, and Zero Trust Model. Networking & Hybrid Cloud: Experience with ExpressRoute, Load Balancers, Private Link, Virtual WAN, Azure Arc. Monitoring & Logging: Proficiency with Azure Monitor, Log Analytics, Prometheus, and Grafana. Cloud Migration: Hands-on experience in cloud migrations using Azure Migrate, including planning and execution. Soft Skills: Strong problem-solving and analytical abilities. Excellent communication and stakeholder management skills. Ability to work in agile environments and across cross-functional teams. A passion for continuous learning and staying updated with the latest Azure technologies. Preferred Qualifications: Azure Certifications such as Azure Solutions Architect Expert (AZ-305), Azure Security Engineer (AZ-500), or Azure DevOps Engineer (AZ-400). Experience with multi-cloud environments (AWS, GCP). Familiarity with database technologies (SQL, NoSQL, PostgreSQL, MySQL). Location Bengaluru, Karnataka, India Education/Qualification Bachelor s degree in Engineering or Technology (B.Tech/BE). Years of Experience 10 to 15 years of professional experience in cloud infrastructure and architecture design. Be part of a fast-growing startup where you can make a direct impact. Competitive salary and a comprehensive benefits package. Access to cutting-edge technologies and continuous learning opportunities. Flexible working hours and a collaborative work culture focused on innovation and growth. If you're an experienced Azure Infrastructure Architect passionate about designing and optimizing cloud solutions with Microsoft Azure, we would love to hear from you! Join CloudSEK and be part of a forward-thinking team revolutionizing the cybersecurity landscape. Qualification : Bachelors degree in Engineering or Technology (B.Tech/BE).

Senior Software Engineer - Backend | FinBox Location: Bengaluru Experience: 4-8 Years About FinBox: Where Fintech Meets Fun! Welcome to FinBox, a thriving hub of innovation at the intersection of fintech and technology. Founded in 2017, we specialize in building cutting-edge technologies for the financial services industry, helping lenders like Banks, NBFCs, and large enterprises to launch credit products faster and more efficiently than ever before. We are a Series A funded startup with a growing global presence, including offices in India, Vietnam, Indonesia, and the Philippines. To date, FinBox has enabled the disbursement of billions of dollars in credit across various types of loans, including personal, business, mortgage, and education loans. Over 100 companies use our solutions, delivering credit to millions of customers every month. Innovative Environment: We encourage creative thinking and experimentation to push the boundaries of fintech. Impactful Work: Your work will have a direct impact on millions of people by making credit more accessible and inclusive. Growth Opportunities: As a Series A startup, we offer plenty of opportunities for personal and professional growth. Collaborative Culture: Work in a diverse, inclusive team where everyone is passionate about making a difference. Creative Thinkers: You love experimenting with new ideas and enjoy solving complex problems in unique ways. Customer Heroes: You understand customer needs and aim to deliver seamless and impactful experiences. Team Players: You thrive in a collaborative environment, and value contributing to the team s success. Role & Responsibilities As a Senior Software Engineer - Backend, you will: Architect & Build: Design and implement new services to meet critical business needs and product requirements. End-to-End Ownership: Take full responsibility for the services you build, including fintech APIs and core components. Collaboration: Work closely with engineers, designers, product managers, and senior leadership to create actionable roadmaps. CI/CD & Automation: Help build and integrate systems into CI/CD pipelines, focusing on testing, QA, and automation. Write High-Quality Code: Deliver clean, performant, and well-tested code for all our products. Continuous Improvement: Ensure the continuous evolution of backend systems to support FinBox s growth and scalability. Who You Are We re looking for someone who has: A degree in Computer Science (B.Tech/MCA/M.Tech) or equivalent. In-depth knowledge of programming languages, with preferences for Go, Rust, Elixir/Erlang, Java, Python, or JavaScript. Strong understanding of Computer Science fundamentals, including algorithms, data structures, and competitive coding. Experience with Cloud Platforms: Proficiency in AWS, Azure, or Google Cloud, including Terraform for infrastructure automation. Experience with Databases: Solid knowledge of PostgreSQL and experience with Big Data pipelines. Proficiency in Automation: Experience automating systems and deployments using tools such as GitLab. Web Tech Understanding: Good knowledge of web technologies, protocols, and architecture such as HTTP, RESTful APIs, and web standards. Problem Solver: Strong analytical and problem-solving skills, combined with a fast-learning mindset. Effective Communicator: Excellent verbal and written communication skills to collaborate effectively with cross-functional teams. Be part of a dynamic, fast-growing company working on innovative financial technologies. Take ownership of high-impact backend systems that power fintech solutions for global customers. Work alongside a talented, diverse team in an inclusive environment where your ideas and contributions matter. If you re passionate about backend development and want to make an impact in the fintech world, apply now and become part of the FinBox team! Excited to start the next chapter in your career? Apply today! Qualification : A degree in Computer Science (B.Tech/MCA/M.Tech) or equivalent.

Job Title: Lead Cloud Development Engineer Location: Bengaluru, Karnataka, India Team Overview: Join Cloud Software Group (CSG) as a Lead Cloud Development Engineer in our DaaS (Desktop as a Service) team. You will play a pivotal role in developing and maintaining our Gateway Service, a core component of our DaaS infrastructure. In this role, you ll work with cutting-edge cloud technologies to create a seamless, secure, and high-performance experience for our customers. If you re passionate about cloud technologies and want to make an impact in a fast-growing company, this is the perfect opportunity for you. Job Description: As a Lead Cloud Development Engineer, you will be responsible for leading the design, development, and maintenance of a highly scalable and reliable Gateway Service. You will also focus on ensuring the service meets high standards for performance, security, and availability. Your responsibilities will include collaborating with cross-functional teams, troubleshooting issues, and contributing to the overall evolution of our cloud infrastructure. Key Responsibilities: Design & Development: Lead the design and development of scalable, high-performing Gateway Service, focusing on optimizing performance, security, and availability. Architecture Evolution: Contribute to the architecture of the Gateway Service, evaluating and integrating new technologies and patterns to meet increasing demands. Collaboration: Work closely with architects, leads, and engineers, both within and outside the team, to implement new features and enhancements. Code Reviews & Best Practices: Participate in code reviews, ensuring the implementation of high-quality code and adherence to software development best practices. Quality Assurance: Collaborate with QA engineers to ensure comprehensive testing and validation of new releases. Production Support: Lead troubleshooting efforts for production issues, outages, and customer escalations, working with the support and operations teams to minimize customer impact. Emerging Technologies: Stay current with industry trends and emerging technologies, particularly in cloud computing and microservices. Agile Development: Engage in agile development processes, including sprint planning, daily stand-ups, and retrospectives. Qualifications: Education: B.E/B.Tech or M.Tech in Computer Science or a related field. Experience: At least 8 years of software development experience, with a proven track record of designing, developing, and deploying software/services using C/C++ or Golang. Technical Skills: Strong understanding of networking protocols and security best practices. Solid foundation in Data Structures and Algorithms. Good understanding of cloud platforms such as AWS, Azure, or GCP. Experience with CI/CD pipelines and automation tools. Familiarity with containerization technologies like Docker and Kubernetes. Soft Skills: Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams. About Us: Cloud Software Group is one of the world s largest cloud solution providers, serving over 100 million users worldwide. By joining us, you are helping real people leverage cloud-based solutions to get their work done from anywhere. At CSG, we foster a culture where passion for technology, courage to take risks, and continuous learning thrive. This is an exciting time to be part of the company as we evolve and innovate, making a real difference in how people work. Qualification : B.E/B.Tech or M.Tech in Computer Science or a related field.

Join Us in Revolutionizing the Data Storage Industry We're leading an exciting transformation in the data storage industry. By joining us, you will have the opportunity to make a significant impact, grow alongside a brilliant team, and be at the forefront of cutting-edge technology. If you re passionate about reshaping the future of tech, this is your chance to leave your mark. The Challenge: As a DevOps Engineer, you will be responsible for managing, automating, and optimizing our VMware, cloud, and on-prem Kubernetes infrastructure. Your role will be critical in ensuring the high availability, performance, and scalability of our services. You will work closely with cross-functional teams to architect solutions that improve our engineering operations and align with business needs. Key Responsibilities: Infrastructure Design & Management: Design, deploy, and maintain scalable VMware, Cloud (AWS, GCP, Azure, IBM), and Kubernetes environments. Custom Solutions Development: Develop and implement tailored OpenStack/VMware/Kubernetes solutions based on organizational needs. Automation & CI/CD: Build automation tools and frameworks (CI/CD pipelines) to streamline infrastructure operations and manage workloads (VMs/Pods) lifecycles. Observability & Best Practices: Implement observability best practices for OpenStack/VMware/Kubernetes environments, ensuring reliability and performance. Continuous Improvement: Provide expertise in DevOps methodologies to support continuous improvement and optimize infrastructure efficiency. Troubleshooting & Support: Assist with deployment, configuration, troubleshooting, and provide infrastructure support for AWS/Azure environments. Documentation & Knowledge Sharing: Create and maintain documentation for OpenStack/VMware/Kubernetes architecture and stay current with emerging technologies and industry best practices. On-Call Support: Participate in the follow-the-sun on-call rotation for infrastructure support. What You ll Need to Bring: Education: Bachelor s degree in Computer Science, Information Technology, or a related field. Experience: 5+ years of experience managing and automating large-scale VMware, OpenStack, or Kubernetes environments. Programming Skills: Proficiency in Python, Java, or Go for scripting and automation. DevOps Knowledge: Strong understanding of DevOps principles with hands-on experience using tools like Ansible, Terraform, or Puppet. Observability Expertise: Experience implementing observability solutions with tools like Prometheus, Grafana, Logstash, Elastic, Fluent-bit, or Fluentd. Linux & Networking: Familiarity with Linux, TCP/IP, DNS, DHCP, and related networking concepts. OpenStack/Vmware/Kubernetes: Proven experience working with OpenStack (e.g., OpenStack Yoga), VMware, or Kubernetes (particularly enterprise Kubernetes clusters on bare metal). Virtualization & Containerization: Expertise in virtualization technologies (KVM, VMware, KubeVirt) and container technologies (Docker, Kubernetes). Cloud Experience: Experience with infrastructure support and automation for AWS, Azure, or GCP. Problem-Solving Skills: Excellent troubleshooting abilities with great attention to detail. Communication & Collaboration: Strong interpersonal skills and the ability to collaborate across teams. Preferred Qualifications: Experience with PureStorage products such as FlashArray, FlashBlade, or Portworx. Certifications in Kubernetes (CKA, CKAD), VMware (VCP), or OpenStack (COA). Experience running production VMs in KubeVirt. Familiarity with agile environments and project management tools. What You Can Expect from Us: Pure Innovation: We celebrate critical thinkers, challenges, and trailblazers who strive to innovate. Pure Growth: We support your growth and provide the space for you to contribute meaningfully. We're proud to be named in Fortune's Best Workplaces and certified as a Great Place to Work. Pure Team: We focus on collaboration and teamwork, setting aside ego for the greater good. Qualification : Bachelors degree in Computer Science, Information Technology, or related field.

Job Title: Cloud-Based AI Developer - Advanced Analytics Group (AAG) Company: Bain & Company Job Type: Full-Time Employment Type: Permanent What Makes Us a Great Place to Work: We are proud to be consistently recognized as one of the world s best places to work, a champion of diversity, and a model of social responsibility. We are currently ranked #1 on Glassdoor's Best Places to Work list, and we have maintained a spot in the top four for the last 13 years. Diversity, inclusion, and collaboration are key to building extraordinary teams. We hire people with exceptional talents, abilities, and potential, creating an environment where you can thrive both professionally and personally. We are publicly recognized for being a great place to work for diversity and inclusion, women, LGBTQ, and parents. Who You ll Work With: As a member of Bain s Advanced Analytics Group (AAG), you will work alongside generalist consultants to help clients across industries solve their biggest problems using expertise in data science, customer insights, statistics, machine learning, data management, supply chain analytics, and data engineering. AAG team members hold advanced degrees in computer science, engineering, AI, data science, physics, statistics, mathematics, and other quantitative disciplines, with backgrounds in tech, data science, marketing analytics, and academia. We are committed to building a diverse and inclusive team and encourage candidates of all backgrounds to apply. What You ll Do: As a member of the AAG, you will be responsible for designing, developing, and maintaining cloud-based AI applications that provide high-quality, scalable, and secure solutions for our clients. Your work will encompass the full stack, from API design to deployment, delivering analytics solutions across various sectors. Cloud-Based AI Development: Design, develop, and maintain cloud-based AI applications, ensuring scalability and security, leveraging full-stack technology solutions. Cross-Functional Collaboration: Work with product managers, data scientists, and other engineers to define and implement analytics features that meet business requirements. Cloud and Containerization: Use Kubernetes and containerization technologies to deploy, manage, and scale applications in cloud environments for optimal performance. API & Microservices Development: Develop and maintain APIs and microservices to expose analytics functionality, adhering to industry best practices for design and documentation. Security and Compliance: Implement robust security measures to protect sensitive data and ensure compliance with data privacy regulations. Troubleshooting and Performance Monitoring: Continuously monitor and troubleshoot application performance, resolving issues impacting system reliability and user experience. Code Reviews and Best Practices: Participate in code reviews and contribute to the establishment of coding standards to ensure high-quality, maintainable code. Emerging Trends and Technologies: Stay current with emerging trends in cloud computing, data analytics, and software engineering to enhance the platform s capabilities. Collaboration with DevOps: Work with DevOps and infrastructure teams to automate deployment and release processes, optimizing the development workflow. Client Collaboration: Collaborate closely with business consulting teams to assess opportunities and develop analytics solutions across sectors. Education and Influence: Influence and educate clients on analytics application engineering capabilities, supporting their teams directly. Travel: Expect occasional travel (30%) for project work. About You: Required Qualifications: Education: Master s degree in Computer Science, Engineering, or a related technical field. Experience: 3+ years of experience at Senior or Staff level, or equivalent. Expertise in client-side technologies such as React, Angular, Vue.js, HTML, and CSS. Experience with server-side technologies such as Django, Flask, and Fast API. Proficiency with cloud platforms (AWS, Azure, GCP) and Terraform automation (good to have). 3+ years of expertise in Python. Experience using Git for version control and collaboration. Familiarity with DevOps, CI/CD, and tools like GitHub Actions. Demonstrated interest in LLMs, prompt engineering, and Langchain. Experience with workflow orchestration tools such as dbt, Beam, Airflow, Luigi, Metaflow, Kubeflow, or similar. Experience in the implementation of large-scale structured or unstructured databases, as well as containerization technologies like Docker and Kubernetes. Skills and Knowledge: Strong interpersonal and communication skills to explain complex engineering topics to colleagues and clients from various disciplines. Curiosity, proactivity, and critical thinking. Solid computer science fundamentals in data structures, algorithms, automated testing, object-oriented programming, performance complexity, and software architecture. Expertise in designing API interfaces and knowledge of data architecture and database schema design. Familiarity with agile development methodologies. Join Bain & Company: Become a part of a forward-thinking team committed to solving complex problems, building innovative solutions, and delivering impactful data analytics and AI solutions. Collaborate with talented professionals and gain valuable experience that shapes the future of data analytics and AI. Qualification : Masters degree in Computer Science, Engineering, or a related technical field.

Staff Automation Engineer Company Arm Job Overview As a Staff Automation Engineer, you will play a pivotal role in designing and implementing cutting-edge IT automation solutions that enhance Arm s infrastructure and development processes. You will leverage your expertise in automation technologies to streamline provisioning, configuration management, image management, secret management, and CI/CD pipelines. This is a critical role to ensure our systems remain efficient, scalable, and secure. Responsibilities Develop and implement automated solutions for infrastructure provisioning and configuration management using tools like Terraform, CloudFormation, Ansible, Puppet, and Chef. Design, configure, and maintain scalable CI/CD pipelines using platforms such as GitLab CI, GitHub Actions, Cloudbees/Jenkins, AWS CodePipeline, or Azure DevOps. Collaborate with DevOps and Engineering teams to improve and optimize engineering workflows, enhancing both efficiency and time-to-market. Standardize and automate configuration processes to ensure consistency and compliance across all environments. Troubleshoot and resolve configuration-related issues, ensuring systems are always up-to-date, secure, and cost-efficient. Required Skills and Experience Proven success in automation engineering or a similar role. Solid understanding of DevOps practices and extensive experience in infrastructure-as-code (IaC). High proficiency with automation tools and technologies, including Terraform, Ansible, Docker, Kubernetes, Jenkins, and Vault. Strong understanding of both on-premise and cloud platforms (AWS, Azure, GCP), including cloud-native architectures. Excellent communication, collaboration, and problem-solving skills with the ability to thrive in a team-oriented environment. Nice-To-Have Skills and Experience Relevant certifications, such as AWS Certified DevOps Engineer or Certified Kubernetes Administrator, are a plus. What Arm Offers We offer exciting, meaningful work within a diverse team. Arm s continued growth ensures ample career progression opportunities, allowing you to make a real impact on our global success. #LI-KR2

Job Title: Senior Engineer - IT Software Development & Operations Location: Bengaluru Job Summary The Senior Engineer will be responsible for applying their technical expertise in various aspects of software development and operations, including design, coding, testing, documentation, and technical support. This role requires the ability to handle complex issues, adapt existing methods to solve problems, and deliver results with minimal supervision. The ideal candidate will have strong collaboration skills, consistently seek to improve their technical capabilities, and actively participate in technical initiatives to enhance organizational success. Roles & Responsibilities Design & Development: Responsible for the design, coding, testing, bug fixing, documentation, and technical support within the assigned area. Ensure timely delivery of solutions while meeting quality and productivity goals. Collaboration & Customer Interaction: Regularly collaborate with customer teams to clarify technical issues, resolve queries, and ensure smooth project execution. Participate in key project and work-related activities, providing input on identifying important issues and risks. Process Improvement: Actively seek opportunities to enhance existing skills and acquire new complex technical skills. Participate in technical initiatives related to the project and organization, delivering training and contributing to process improvements. Project Execution: Adhere to organizational guidelines and checklists during deliverable reviews. Provide regular status reports to the Team Lead and ensure that relevant organizational processes are followed. Skill Development: Enhance technical capabilities by attending training sessions, engaging in self-study, and undergoing periodic technical assessments. Education and Experience Education: Engineering Graduate, MCA, or equivalent. Experience: 2-5 years of relevant experience. Competencies Description Digital Automation Engineer: Experienced in designing and implementing engineering processes and automation across phases of the DevOps-based SDLC, including Configuration Management, Build & Release, Test Automation, Deployment, Infrastructure Automation, and Continuous Operations. Configuration Management Specialist: Design, configure, and implement version control, branching, and configuration strategies using source code and version control systems like GIT, GitLab, BitBucket, SVN, CVS, Clearcase. Build Automation Specialist: Experience in Continuous Integration (CI) and Build Automation tools like Jenkins, Bamboo, ANT, Maven, Gradle. Test Automation Specialist: Experience in designing and authoring Test Automation scripts for Mobile, Web, Cross-platform, Web Services, Microservices, and infrastructure testing. Proficient in Black Box, White Box, Functional, Performance, UI, Security, and Regression testing, along with experience in BDD frameworks and device test clouds like Sauce Labs and Xamarin Test Cloud. Deployment Specialist: Expertise in release management strategies, managing package repositories, AMIs, and deploying applications and service packages across cloud and container-based infrastructure. Infrastructure Automation Specialist: Expertise in designing and implementing programmable infrastructure on virtualized and cloud-based environments. Ability to manage IaaS, Configuration Management, Container Management, and Environment Management across cloud platforms (AWS, Azure, etc.). Continuous Operations Specialist: Design, implement, and operate elastic infrastructure, manage application and service monitoring, failover scenarios, scalability, SLAs, and operational dashboards across cloud and virtualized environments. Platforms Linux, Windows, Android, iOS, VMware, OpenStack, Hyper-V Technology Standards AWS, Azure, RESTful APIs, SOAP, Test-Driven Development (TDD), Microservices patterns, Service Mesh, CloudFormation templates. Tools Configuration Management: GIT, GitLab, BitBucket, SVN, Clearcase, Perforce. Build Tools: GNU Make, NMake, ANT, Maven, Gradle, Ivy. CI Tools: Jenkins, Bamboo, CircleCI, AWS DevOps tools, Azure DevOps. Requirement Management: Bugzilla, Jira. Code Review: Gerrit, GitLab, ReviewBoard. Containers: Docker, Docker Swarm, Kubernetes, ECS (Amazon), AKS (Azure). Automation & Configuration Management: Ansible, Chef, Puppet. Cloud-Native DevOps Services (AWS, Azure): Cloud-Native DevOps Services. Testing Tools: Appium, Visual Studio App Center, SauceLabs, Selenium, Black Duck, SOAP UI, Protractor, JUnit, NUnit, LoadRunner, JMeter. Monitoring & Dashboarding: Prometheus, ELK Stack, Grafana. Languages Scripting Languages: Perl, Python, Groovy, Shell Script, PowerShell, YAML, Ansible. Other Programming Languages: Java, C#, XML. Test Automation Languages: Java, Python (for Appium and Sauce Labs). Specialization Key Areas: Configuration Management, Test Automation, Build and Release Automation, Infrastructure Automation, Continuous Operations, Deployment, RPA (Robotic Process Automation). Desired Skills Strong collaboration and communication skills. Ability to manage multiple projects and tasks while ensuring quality delivery. Experience working in an agile development environment. Proactive in identifying and resolving technical challenges. Strong analytical and problem-solving abilities. This is an exciting opportunity for a skilled Senior Engineer to advance their career in the IT Software Development and Operations domain, work on innovative projects, and gain experience across cutting-edge technologies. Qualification : Engineering Graduate, MCA, or equivalent.

Job Title: Linux Automation Engineer Experience: 4-8 Years Location: Bangalore Role Overview: As a Linux Automation Engineer, you will be responsible for implementing and automating infrastructure solutions that support IBM Cloud products and infrastructure. You will play a key role in building automation frameworks, managing CI/CD pipelines, ensuring security compliance, and providing technical escalation support. This role requires expertise in Linux, automation tools, cloud infrastructure, and DevOps best practices. Key Responsibilities: Infrastructure Automation & Implementation: Design, implement, and automate Linux-based infrastructure solutions for IBM Cloud. Develop automation scripts and tools to enhance system efficiency and reliability. Automate system provisioning, configuration management, and deployments. CI/CD & Test Automation: Build and manage test automation frameworks and CI/CD pipelines. Maintain and administer automated systems and DevOps tools for development and test teams. Security & Compliance: Ensure the security integrity and compliance of the infrastructure environment. Implement best practices for access control, monitoring, and auditing. Monitoring & Alerting: Develop and integrate alerting and monitoring solutions for mission-critical services. Partner with cross-functional teams to enhance system observability and reliability. Technical Support & Troubleshooting: Provide technical escalation support for Infrastructure Operations teams. Troubleshoot and resolve complex Linux, automation, and cloud infrastructure issues. Required Skills & Competencies: Strong expertise in Linux system administration and automation. Experience with infrastructure automation tools such as Ansible, Terraform, or Puppet. Hands-on experience with CI/CD tools like Jenkins, GitLab CI, or Azure DevOps. Proficiency in scripting languages (Bash, Python, or Shell scripting). Familiarity with cloud platforms (IBM Cloud, AWS, Azure, or GCP). Strong understanding of networking, security, and compliance best practices. Experience in monitoring and alerting tools like Prometheus, Grafana, or ELK Stack. Ability to work in a fast-paced, collaborative DevOps environment. Capgemini Engineering is a world leader in engineering services, empowering the most innovative companies globally. We offer: A dynamic and diverse work environment with cutting-edge technologies. Opportunities to work on industry-leading projects in cloud, automation, and DevOps. A culture of innovation, collaboration, and professional growth. Join us and be a part of a team that is shaping the future of digital transformation!

Overview The Microsoft Azure Storage team is looking for a Senior Software Engineer - Azure Storage with design, coding, and testing skills, to develop strategy and automation to validate Azure's massive distributed storage system. We are looking for talented Senior Software Engineer - Azure Storage who are customer obsessed and passionate about creating high quality end to end experiences that delight customers. You will have an opportunity to make high impact changes on a daily basis as you work on a hyperscale storage system that may indirectly or directly be used daily by your friends and family. Microsoft s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications: Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, or C# OR equivalent experience. 3+ years of experience in developing software/drivers for Windows PCs or Embedded systems. 3+ years of experience with Windows Kernel debugging, Windbg Debug Extensions, and auto analysis 3+ years of experience building scalable, distributed services. Familiarity with engineering build tooling and automation at scale. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Additional / Preferred Qualifications: Experience with a large scale storage, high quality code, distributed systems, and cloud services. Competent in software engineering practices, coding and foundation in data structures, algorithms with testing, debugging and analytical skills. Knowledge of UMDF/KMDF driver fundamentals and knowledge of new hardware platform enablement and bring-up activities. #Azurecorejobs Responsibilities Design, develop and operate scalable, low latency and high throughput cloud services and frameworks to stress storage backend. Work on complex and critical cloud scale storage features integration. Play a crucial role in the product quality by designing end to end scenario validation. Develop software and infrastructure for new hardware storage solutions (Windows Drivers, Windows services, fault analysis automation, performance analysis). Experiment, study and analyze the system behavior, health under different load conditions. Take an active role and partner with peer teams and external partners to ensure new storage features meeting target availability, security and reliability. Drive cross organization Quality initiatives to streamline release quality gates and release pipeline. Being part of Azure core team, work on the product code base to improve its test-ability, diagnostic-ability, debug-ability and overall product health for the storage system. Qualification : Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, or C# OR equivalent experience.

Job Overview: The ideal candidate will bring hands-on expertise with Automation Anywhere platform and demonstrable experience in AIdocument automation, process automation, and RPA standard methodologies. If you re familiar with agentic automation or excited to explore it, that s a huge plus! Responsibilities: RPA Development & Implementation Design, develop, and deploy robust automation workflows using Automation Anywhere to enhance operational efficiency. Simplify development processes by creating scalable, reusable assets for enterprise-wide adoption. Optimize existing bots for improved efficiency, scalability, and reliability. Process Optimization Analyze existing processes to identify automation opportunities and streamline workflows. Collaborate with business users to document requirements and design solutions aligned with business goals. Solution Design & Documentation: Develop and maintain detailed design documents, technical specifications, and solution architecture. Ensure adherence to RPA best practices and organizational standards. Testing & Deployment Conduct thorough testing to ensure scalability, performance, and reliability of all RPA solutions. Monitor deployed bots to ensure seamless operation and drive continuous improvement. Document AI Automation Use AI/ML tools for intelligent document processing (e.g., data extraction, validation, and classification). Optimize document workflows to enable faster, smarter decision-making. Agentic Automation Implement adaptive, intelligent workflows using agentic automation, enabling real-time decision-making. Explore opportunities for multifaceted automation based on business needs. Required Skills and Experience: Proven experience with Automation Anywhere (development, deployment, and maintenance). Strong knowledge of AIdocument automation and related tools. Expertise in process automation and workflow optimization. A solid track record in troubleshooting and debugging complex RPA solutions. Bachelor s degree in Computer Science, Information Systems, or a related field. 8+ years of experience in RPA development, with a focus on Automation Anywhere. Proficiency in programming languages such as Python, Java, or .NET is a bonus. Strong analytical, problem-solving, and interpersonal skills. Nice To Have Skills and Experience: Familiarity with agentic automation tools and concepts. Experience with cloud-based RPA solutions and integrations (e.g., AWS, Azure, GCP). Basic knowledge of AI/ML for intelligent automation. In Return: With offices around the world, Arm is a diverse organisation of dedicated, innovative and very hardworking engineers. By enabling a vibrant, inclusive, meritocratic, and open workplace, where all our people can grow and succeed, we encourage our people to share their outstanding contributions to Arm's success in the global marketplace #LI-KR2 Accommodations at Arm At Arm, we want our people to Do Great Things. If you need support or an accommodation to Be Your Brilliant Self during the recruitment process, please email [email protected]. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process. Hybrid Working at Arm Arm s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you. Equal Opportunities at Arm Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Qualification : Bachelors degree in Computer Science, Information Systems, or a related field.