4 Cloud-Native Services Jobs

Job Title: Cloud Networking Engineer - Terraform Job location: Bangalore/Pune Job Type: Hybrid (3 days work from office) Position Type: Full-time About the Role: We are seeking a skilled Cloud Networking Engineer with experience in infrastructure automation and Terraform to join our dynamic team. This role will focus on designing, implementing, and maintaining networking solutions in cloud environments while leveraging Terraform for infrastructure-as-code (IaC) practices. You will be responsible for ensuring the scalability, security, and performance of cloud-based networks and collaborating with development teams to automate and optimize network-related tasks. Key Responsibilities: Cloud Networking Design & Implementation: Design, implement, and maintain network architectures in public cloud environments Azure. Architect and manage Virtual Private Clouds (VPCs), subnets, route tables, security groups, and network access control lists (ACLs). Configure and manage cloud-native load balancers, VPNs, Direct Connect/ExpressRoute, and peering connections. Ensure network security by implementing firewalls, security policies, and network segmentation. Engineer Cloud, your role will be to help drive Cloud Architecture Runway tasks, and Cloud Engineering/Architecture reviews For Architecture Runway, our team assists Platform and Product teams with strong engineering and architecture experience to complete rapid proof of concepts and evaluations to solve challenges or improve on existing processes or tooling You will work closely with our common cloud platform team that manages our IaC product and our security and compliance teams to apply your deep cloud knowledge to advise teams on the best design considerations You will bring a wide range of Cloud Skills (CI/CD and IaC experience) acting as both an engineer and expert in cloud Engineer and enable enterprise cloud solutions within a DevOps environment Influences target state Cloud Architecture, partnering with other areas, such as Cloud Network Architects, Cloud Data Architects, Cloud Solution Architects, Cloud Security Architects, and Cloud Engineering and Development teams Accelerates the adoption of cloud solutions across business units Ensures cloud deployments result in resilient, robust, and compliant systems May oversee technology assessments, technology strategy reviews, and provide internal consulting to ensure all areas are practicing sound architecture hygiene Translates complex ideas, technology, and programs into languages to which senior management can relate Participates in the development of metrics and scorecards to influence the technology teams on industry best practices for cloud deployments Manages the vendor relationship including determining in scope and out of scope work, working through any interpretation of contract terms and monitoring/reviewing SLA adherence Performs deep dive research on missed SLAs Partners with the vendor to drive continuous improvement resulting in improved service and/or lower cost Reviews and approves any request prioritizations Ensures delivery against agreed upon SLAs and overall service delivery of operational activities Manages the vendor relationship including determining in scope and out of scope work, working through any interpretation of contract terms and monitoring/reviewing SLA adherence Performs deep dive research on missed SLAs Partners with the vendor to drive continuous improvement resulting in improved service and/or lower cost Leads in a fast-paced environment and produces high-quality work under tight deadlines Works with business stakeholders to advise them on available SaaS Services and enterprise agreements Allocates available resources to meet operating objectives Terraform Automation: Write and maintain Terraform scripts for the deployment of cloud network infrastructure. Leverage Terraform modules for reusable infrastructure components and configurations. Automate network provisioning and configuration changes in cloud environments to improve scalability and reduce manual interventions. Cloud Networking Optimization: Monitor and optimize the performance of cloud network infrastructure. Troubleshoot and resolve network-related issues, including latency, connectivity, and performance bottlenecks. Implement best practices for cost-effective and highly available cloud networking. Collaboration & Documentation: Work closely with DevOps, Systems, and Security teams to ensure alignment between networking infrastructure and application deployment processes. Provide detailed documentation for cloud network infrastructure, Terraform configurations, and best practices. Train and support teams in cloud networking concepts, Terraform usage, and troubleshooting. Security and Compliance: Implement cloud networking solutions with a focus on security and compliance (e.g., network segmentation, encryption, and monitoring). Ensure compliance with industry standards and regulatory requirements related to cloud networking. Required Skills & Qualifications: Proven experience (3+ years) working as a Cloud Networking Engineer or in a similar role. Strong knowledge of cloud networking concepts in Azure (VPCs, subnets, VPNs, VNETS, routing, security groups). Hands-on experience with Terraform, including writing and managing IaC configurations. Familiarity with network automation tools and scripting languages (e.g., Python, Bash). Experience with cloud-native services like AWS Direct Connect, Azure ExpressRoute, and cloud load balancing. Knowledge of network security practices, such as firewalls, network ACLs, encryption, and access control. Understanding of network monitoring and troubleshooting tools (e.g., Wireshark, CloudWatch, Network Insight). Familiarity with CI/CD pipelines and infrastructure automation best practices. Excellent communication and documentation skills. Preferred Skills & Qualifications: Certification in cloud networking (AWS Certified Advanced Networking, Azure Network Engineer, etc.). Basic knowledge of routing protocols such as BGP, OSPF, EIGRP. Experience with containerized applications and Kubernetes networking. Familiarity with service mesh technologies (e.g., Istio, Linkerd). Knowledge of network monitoring tools such as SolarWin ds or Datadog. Experience working in Agile/Scrum environments. Show more Show less

Job Summary: We are seeking a skilled Senior NodeJS Developer with experience in software development to join our team in Bangalore. The ideal candidate will have a strong background in developing and maintaining scalable and secure microservices using TypeScript (Node.js) and supporting cloud-native services on AWS. This role is vital in delivering high-quality solutions that meet compliance, performance, and security requirements in the financial services industry. Software Requirements: Required Proficiency: TypeScript (Node.js) for developing RESTful APIs and microservices. AWS services including Lambda, Aurora PostgreSQL, and Serverless Framework. CI/CD processes using GitHub Actions. Docker for containerization. Preferred Proficiency: Experience with Kubernetes for container orchestration. Familiarity with Kafka (MSK) for event-driven architectures. Overall Responsibilities: Develop and maintain scalable and secure microservices using TypeScript (Node.js). Support the implementation of cloud-native services on AWS. Translate technical and business requirements into well-structured, maintainable code adhering to best practices. Contribute to CI/CD workflows, ensuring clean code and comprehensive testing. Collaborate with cross-functional teams to deliver high-quality software solutions. Ensure that all work aligns with compliance, performance, and security requirements specific to the financial services sector.

Key Responsibilities As a PySpark Data Engineer, you will: Design and develop scalable PySpark data pipelines to ensure efficient processing of large datasets, enabling faster insights and business decision-making. Leverage Databricks notebooks for collaborative data engineering and analytics, improving team productivity and reducing development cycle times. Write clean, modular, and reusable Python code to support data transformation and enrichment, ensuring maintainability and reducing technical debt. Implement data quality checks and validation logic within ETL workflows to ensure trusted data is delivered for downstream analytics and reporting. Optimize Spark jobs for performance and cost-efficiency by tuning partitions, caching strategies, and cluster configurations, resulting in reduced compute costs. Qualifications: Your Skills & Experience Solid understanding of Python programming fundamentals , especially in building modular, efficient, and testable code for data processing. Familiarity with libraries like pandas, NumPy, and SQLAlchemy (for lightweight transformations or metadata management). Proficient in writing and optimizing PySpark code for large-scale distributed data processing. Deep knowledge of Spark internals , partitioning, shuffling, lazy evaluation, and performance tuning. Comfortable using Databricks notebooks, clusters, and Delta Lake . Set Yourself Apart With Familiarity with cloud-native services like AWS S3, EMR, Glue, Lambda, or Azure Data Factory. Experience deploying or integrating pipelines within a cloud environment adds flexibility and scalability. Experience with tools like Great Expectations or custom-built validation logic to ensure data trustworthiness.

Big Data Service Team @ OCI OCI is leading the transformation to cloud-native Big Data technologies in our hyper-scale, multi-tenant cloud, deployed in more than 20 regions worldwide. OCI is committed to providing the best in cloud services that meet the needs of our customers, who are tackling some of the world's biggest challenges. The Big Data Service team's charter is to offer a managed, cloud-native Big Data Service focused on large-scale data processing and analytics on unstructured data stored in data lakes and managing the data in data lakes. The service work scope encompasses good integration with OCI's native infrastructure (security, cloud, storage, etc.) and deep integration with other relevant cloud-native services in OCI (like Oracle Kubernetes, Data Catalog, ADW, etc.). It includes doing cloud-native ways of doing service level patching & upgrades and maintaining high availability of the service in the face of random failures & planned downtimes in the underlying infrastructure (e.g., for things like patching the Linux kernels to take care of a security vulnerability). We are interested in senior engineers with expertise and passion for solving difficult problems in distributed systems and highly available services. At Oracle,youcan help, shape, design, and build innovative new systems from the ground up. These are exciting times in our space - we are growing fast, still at an early stage, and working on ambitious new initiatives. Engineers at any level can have significant technical and business impact. Desired Skills and Experience Deep understanding of how distributed resilient software is built and deployed. Prior experience in building, or contributing to, distributed data-intensive systems Experience delivering and operating large-scale, highly available distributed systems. Experience with larger projects (large codebases) Experience with open-source software in the Big Dataecosystem Experience at an organization with strong operational/dev-ops culture Expertise in coding in Java or Scala with emphasis on tuning/optimization Good software engineering skills: know how to write clean, testable, and maintainable code write documentation understanding of simple and robust designs, including designing APIs Bonus Deep understanding of Java and JVM mechanics Interested in speaking about their work, internally and externally, or writing articles BS in Computer Science or a related technical field or equivalent practical experience. Solid foundation in data structures, algorithms, and software design with strong analytical and debugging skills. Passion for learning and always improving yourself and the team around you Career Level - IC2 What to Expect from the Job Working ondistributed data-intensive systems, often as part of open-source communities. Taking ownership of critical parts of the cloud service, including shaping its direction. Code, integrate, andoperationalizeopen and closed source data ecosystem components for Oracle cloud service offerings Becoming an active member of the Apache open-source community when working on open-source components Optionally: Presenting work at conferences, meetups, or via articles. Working with, and supporting customers/users of the cloud service Design, develop, troubleshoot, and debug software programs for databases, applications, tools, networks, etc. Career Level - IC2