Platform Engineer

• Own the end‑to‑end platform & services architecture (API/microservices/event‑driven) and align it to product strategy, business outcomes, and enterprise standards
• Define domain boundaries, data contracts, and service interaction patterns (REST/gRPC/GraphQL, pub/sub) for real‑time and batch consumption across applications and analytics
• Set technical standards for API lifecycle management (versioning, documentation, governance) and drive adoption across teams
• Lead design and review of high‑throughput microservices and event‑driven integrations (Kafka/Event Hubs), ensuring reliability, elasticity, and cost efficiency
• Champion cloud‑native architectures on AWS/Azure, container orchestration with Docker/Kubernetes , and service reliability practices (SLOs, error budgets, incident response)
• Establish observability standards (metrics, logs, traces) and operational readiness, integrating with platform telemetry and dashboards
• Enforce API and data security (OAuth2, JWT), role‑based access control, and compliance‑by‑design across services and data products
• Drive consistent data governance for platform‑exposed datasets, collaborating with Data Engineering on lineage, quality, and stewardship
• Partner with Data Engineering, product, and manufacturing domain experts to align service design with digital‑twin/Omniverse and analytics use cases; ensure performance for low‑latency scenarios (e.g., predictive maintenance, dynamic scheduling)
• Mentor Lead/Senior engineers; uplift teams in API design, microservices, DevOps automation , and platform reliability practices
• Evaluate and guide tool/vendor choices (API gateways/management, observability stack) and codify best practices across the organization.

Principal Software Engineer – Platform & Services

• Implement and integrate AIOps solutions across cloud and on-prem environments to enhance incident detection, correlation, and automated remediation.
• Configure, manage, and optimize observability platforms (logs, metrics, traces) including ingestion pipelines, dashboards, alerting rules, and topology views.
• Build automation workflows for operational tasks such as event triage, remediation actions, resource optimization, and predictive maintenance.
• Collaborate with platform, cloud, and operations teams to onboard new services, data sources, and operational signals into the AIOps ecosystem.
• Support deployment, integration, and operationalization of AI/ML models used for anomaly detection, event correlation, forecasting, and noise reduction (not model training).
• Develop and implement playbooks, runbooks, and automated actions in line with SRE, DevOps, and cloud operations practices.
• Troubleshoot issues related to observability ingestion, integration connectors, pipeline performance, and automation workflows.
• Participate in architectural discussions, tool evaluations, and AIOps capability uplift initiatives.
• Ensure compliance with security, governance, IAM, and data handling guidelines in the AIOps and observability ecosystem.
• Document configurations, workflows, integrations, and operational guidelines for AIOps platform usage.

Senior AIOps Platform Engineer

• Designing, building, and maintaining the infrastructure and internal platforms that power production systems at scale
• Working closely with engineering teams across geographies to improve reliability, security, automation, and deployment velocity
• Developing and maintaining custom software solutions
• Working with different technologies, including GCP, AWS (primarily Cloud Functions) and web development
• Creating documentation and ensuring the security and integrity of software applications
• Automating business processes through custom code

Senior Platform Engineer

• Architect and manage scalable, highly available infrastructure in Amazon Web Services.
• Manage EC2, S3, Auto Scaling, Route 53, Security Groups, Load balancer, IAM policies and networking.
• Implement cost optimization, monitoring, and governance best practices.
• Provision infrastructure using Terraform.
• Develop reusable modules for VPC, EC2, RDS, and networking components.
• Securely manage Terraform state files.
• Automate infrastructure and deployments using Shell scripting or Python.
• Implement configuration management using Ansible.
• Automate provisioning, scaling, patching, and compliance checks.
• Manage SSL/TLS certificate lifecycle (generation, renewal, rotation).
• Administer Linux systems (RHEL, CentOS, Ubuntu).
• Perform performance tuning and system-level troubleshooting.
• Monitor CPU, memory, disk I/O, and network utilization.

Platform Engineer III

• Provide advanced technical support and engineering expertise for the Domino Data Lab platform
• Ensure platform stability, performance, availability, and reliability for enterprise-scale Data Science, Advanced Analytics, and AI/ML workloads
• Manage day-to-day operations of the Domino Data Lab platform
• Monitor platform health and proactively identify reliability or performance risks
• Support analytics and AI/ML teams in resolving platform-level blockers
• Enhance monitoring and alerting for platform health, usage, failures, and performance bottlenecks
• Assist with infrastructure-level troubleshooting related to cloud, containers, networking, and compute environments

L3 Support / Development Engineer, Domino Platform

• Design and build SharePoint-based engagement tracking and workflow management environments
• Develop and maintain Power Automate flows for approvals, notifications, and process automation
• Develop Power Apps (Canvas and/or Model-driven) to support interaction with SharePoint systems
• Integrate SharePoint and Power Platform solutions with internal and external systems via APIs
• Develop scripts and tools using SQL and/or Python where appropriate
• Support secure authentication and connectivity (OAuth, service principals, etc.)
• Manage solution packaging, versioning, and release processes within Power Platform
• Refactor and optimize existing workflows and applications for performance and reliability
• Troubleshoot and support production issues in SharePoint and Power Platform solutions
• Support integration of AI and LLM capabilities into workflows where applicable
• Assist in connecting Azure-based services such as Functions or OpenAI into solutions

Power Platform Developer, Modelling, Portfolio Valuations

• We are building the next-generation Data Platform that sets the standard for freshness, accuracy, comprehensiveness, and ease of use
• How we store, represent, ingest and serve factual data about artists, songwriters, and their works
• How we ingest, process, ETL, and serve data about music consumption across all digital platforms with which we partner
• How we represent the relationships between artists, songwriters, and their works to power next-generation search and discovery for our analysts and business partners
• Feeding core business processes like marketing optimization, performance tracking, and rights acquisition and distribution

Senior Software Engineer – Data Platform

• Development and integration of IT solutions using agile methodology considering architecture patterns, critical performance characteristics, security measures and customer requirements.
• Integration planning and integration deliverables (Webservices, API, ETLs, etc.)
• Prepare and stage production builds and verify production releases that meet technical and business expectations
• Lead data migration/conversion activities
• Data Pipeline Development: Design, develop, and optimize scalable batch and stream data processing pipelines (Dataflows) using Apache Beam and Google Cloud Dataflow.
• GCP Infrastructure: Architect, configure, and maintain cloud solutions utilizing core GCP services (including Pub/Sub, Big Query, Cloud Storage, and Cloud IAM).
• Backend API Development: Design, build, and maintain secure, high-performance RESTful APIs and microservices using Java and the Spring Boot framework.
• Frontend Screen Development: Create responsive, user-friendly frontend screens and dashboards using Angular (TypeScript, HTML5, CSS) to visualize data and provide administrative interfaces.
• Full-Stack Integration: Seamlessly integrate frontend Angular components with backend Spring Boot REST APIs to ensure secure and efficient end-to-end functionality.
• Database Management: Design schemas, write optimized SQL queries, and manage relational database systems (e.g., PostgreSQL, MySQL, Cloud SQL).
• Collaboration & DevOps: Participate in Agile/Scrum ceremonies, perform code reviews, and configure CI/CD pipelines to support automated testing and deployment.
• Builds pipelines delivering fresh, accurate, and correctly formatted data to AI agents and models.
• Manages vector store ingestion pipelines — the knowledge bases grounding agent decisions in real data
• Architects real-time streaming pipelines for agents requiring live information.
• Providing technical leadership and mentoring to other developers.

Software Engineer – Data Platform

• Collaborate with the Technical Anchor to design, engineer, develop, deploy, and support new Azure AD B2C and EEID software and platform features that adhere to Ford security, architecture, and IAM standards.
• Support delivery of tactical and strategic IAM solutions, including analysis, design, and implementation to improve security posture.
• Contribute to the development and implementation of IAM strategies and roadmap.
• Develop and maintain metric dashboards and monitoring/alerting systems.
• Provide day-to-day operations of requests, incidents, and problems.
• Create and maintain technical documentation for team and integrating applications (e.g., architecture diagrams, API documentation, coding standards, operational processes, procedures, configurations, application onboarding tips, etc.)
• Use modern software development Agile methodologies to deliver high-quality software on time and on budget.
• Use modern software delivery pipelines to automate the deployment and testing of software and platform features.
• Maintain and update Ford custom policies using the Identity Experience Framework.
• Maintain and update UI (visual presentation of user journeys) in accordance with the Ford UI Design Team provided specifications.
• Write clean, efficient, and maintainable code in C#, .NET Core, or other relevant languages that can integrate with Azure Graph APIs.

Customer Identity Platform Engineer

• Help operate and modernize one of the world's largest industrial edge computing deployments.
• Work with a fleet of more than **100,000 connected edge devices** running Docker-based applications in challenging real-world environments.
• Solve complex operational problems at scale.
• Collaborate directly with enterprise customers and engineering teams.

Platform Engineer – Edge, Docker, IIoT

• Work closely with stakeholders to understand Next Gen cloud platform and Data Integration needs
• Support design through delivery of robust Microservices & API based solutions
• Collaborate within agile teams to drive user story/tasks creation along with design and development activities
• Leverage current tech-stack experience with knowledge and understanding of go-forward platforms
• Utilize Cloud Service Provider expertise to optimize strategy of cloud-based integrations
• Work with cross-functional teams spread across multiple products and locations within Boeing
• Troubleshoot platform and Apigee runtime issues, perform root-cause analysis
• Drive automation for provisioning, upgrades, scaling and disaster recovery of Apigee environments

Experienced Apigee Platform Engineer

• Support Critical Satellite Operations: Ensure continuous system operation and reliability.
• Monitor system health and proactively address any potential issues.
• Manage Deployment and Testing: Continuous deployment of software with a focus on minimizing operational risks using DevOps best practices.
• Technical Issue Resolution: Provide support Software L1 to the end users, troubleshoot operational issues (software and hardware anomalies), restore nominal operations, and document software changes.
• Configure computing infrastructure at each of the geographically diverse operation centers.
• Process Automation: Develop and maintain scripts for automation and monitoring in both Linux and Windows environments. Help automate software deployment and maintain application software lifecycle.
• Project Management: Lead project work schedules and anticipating and avoiding problems.
• Implement and enforce IT Security measures and best practices to safeguard system integrity and data confidentiality.
• Provide On-Call Support: Support a 24/7 satellite control environment (on-call support), ensuring continuous and seamless operations.

Engineer, Platform Services Architecture

• Design, develop, and optimize Airflow DAGs for enterprise use cases
• Demonstrate strong experience with operators such as PythonOperator, SQL operators, API/HTTP operators, KubernetesPodOperator etc.
• Apply advanced DAG patterns including dynamic DAGs, branching, sensors, retries, and error handling
• Troubleshoot DAG failures, performance issues, and integration challenges
• Enable orchestration of modern data workflows including DBT pipelines
• Provide reusable templates, best practices, and onboarding support to drive self-service adoption
• Support Airflow platform deployed on AKS, covering scheduler, webserver/API, workers, and metadata services
• Troubleshoot issues related to task execution, scheduling delays, and resource bottlenecks
• Diagnose Kubernetes-level issues involving pods, networking, storage, and RBAC
• Work with Azure services such as Key Vault, Storage, and networking
• Support CI/CD pipelines for DAG and container-based deployments
• Improve platform stability, monitoring, and alerting

Airflow Platform Engineer

• Build and scale AI/ML and GenAI pipelines from experimental workflows to production-ready systems.
• Integrate model training, evaluation, deployment, and monitoring into product workflows.
• Deploy and manage GenAI solutions such as chatbots, RAG applications, and predictive analytics tools.
• Operationalize LLMs and AI agents, including prompt orchestration, chaining, and fine-tuning.
• Benchmark models, develop evaluation frameworks, and improve reliability and auditability.
• Implement observability, monitoring, and rollback mechanisms to ensure secure, scalable deployments.
• Work across the stack—from backend systems to product SDKs—to deliver AI features directly into user-facing applications.
• Prototype rapidly, gather feedback, and iterate while keeping scale and maintainability in mind.
• Own critical product components and take responsibility for delivering robust, production-grade features.
• Collaborate cross-functionally with data scientists, product managers, and engineers to scope specifications and solve real customer problems.
• Debug complex issues and perform root cause analysis across model pipelines, infrastructure, and product layers to ensure reliability and continuous improvement.

Software Engineer – AI Platform

• Design and evolve cloud-native platform architecture supporting multi-tenant SaaS applications
• Define infrastructure standards, deployment patterns, and platform best practices
• Lead architecture reviews and evaluate technical tradeoffs across reliability, performance, security, and cost
• Design highly available and fault-tolerant systems across multiple environments
• Architect and manage large-scale AWS environments
• Design networking architectures including VPCs, subnets, security groups, routing, load balancing, and connectivity patterns
• Build secure deployment architectures aligned with security and compliance requirements
• Implement disaster recovery, backup, and business continuity strategies
• Design and operate production Kubernetes environments
• Build scalable container orchestration strategies
• Optimize cluster performance, networking, autoscaling, and workload scheduling
• Improve developer experience through platform automation and self-service tooling
• Support AI and ML workloads running on AWS
• Design infrastructure for model training and inference workloads
• Manage GPU provisioning, utilization, scaling, and cost optimization
• Collaborate with AI teams to improve deployment and operational efficiency
• Define and measure SLIs, SLOs, and operational metrics
• Implement monitoring, observability, logging, alerting, and incident management practices
• Drive performance optimization and capacity planning initiatives
• Lead root cause analysis and reliability improvement effort
• Build Infrastructure-as-Code solutions using Terraform
• Design and optimize CI/CD pipelines
• Automate provisioning, deployments, scaling, and operational workflows
• Continuously evaluate cloud spending
• Develop capacity planning models
• Balance performance, reliability, and infrastructure costs

• Lead the end-to-end design and development of enterprise Power Apps
• Act as a subject matter expert for Power Apps, guiding design decisions and challenging sub-optimal requirements
• Re-engineer inefficient manual processes into modern, automated, and scalable workflows
• Support RPA where required for legacy system automation
• Support ETL, data integration, and data transformation scenarios across multiple enterprise systems and platforms
• Use Power BI primarily as an embedded or supporting capability within Power Apps
• Develop robust JavaScript customizations for forms, commands, events, and user experience enhancements in Model-Driven Apps
• Act as a trusted advisor, influencing how processes should work — not simply coding to existing designs
• Promote and operationalize deployment standards across Dev / Test / Prod

Senior Power Platform Application Developer

• Implement fast, interactive Kanban boards with smooth drag-and-drop.
• Build deal detail views, timelines, logs, and complex state-driven interfaces.
• Create dashboards and analytics UIs with charts, KPIs, and real-time insights.
• Architect shared UI components and frontend patterns for the CRM platform.
• Build scalable state management solutions (Pinia/Vuex/Redux/Zustand).
• Implement virtualisation, batching, and other performance-optimisation techniques.
• Work with REST endpoints, real-time streams, and event-driven state updates.
• Build resilient UI flows with strong handling of loading, error, and edge states.
• Ensure correctness of pipeline and deal data across every interaction.
• Participate in design and architecture reviews, RFCs, and long-term UI planning.
• Collaborate deeply with Design and Product to shape intuitive, elegant interactions.
• Mentor engineers on frontend patterns, state architecture, and performance tuning.
• Own the reliability, latency, and overall quality of all Opportunities UI surfaces.

Software Development Engineer III – Opportunities Platform, Frontend

• Design, build, and maintain enterprise data collection websites using XML/XSLT-based form technologies and Java frameworks.
• Develop reusable form components, validation logic, and transformation pipelines to support consistent, secure deployments.
• Implement Java services and APIs (Spring/Struts on Tomcat/JBoss) that integrate client-facing workflows with internal systems.
• Build and support REST/SOAP integrations for authentication, schema validation, retries, and version management.
• Support enhancements and fixes through daily ticket intake, ensuring SLAs and turnaround expectations are met.
• Develop and maintain integrations with Microsoft Graph, SharePoint, monday.com, and SendGrid.
• Operate Databricks Jobs/Workflows (SQL/PySpark, Delta) for data transformation and delivery to reporting environments.
• Participate in on-call coverage and ensure smooth hand-offs between APAC and North America.
• Monitor and improve platform observability — logs, metrics, alerts, and performance dashboards.
• Lead root-cause analysis and post-mortem reviews for production incidents.
• Serve as the senior technical point of contact for the APAC team — mentoring junior engineers, reviewing code, and coordinating workload.
• Help formalize and mature SDLC processes for form and integration deployments, improving release quality and repeatability.
• Collaborate closely with analysts, QA, and infrastructure to deliver stable, high-quality releases on tight timelines.

Senior Client Platform Engineer, Support Ops

• Lead the design, delivery, and operation of production-grade engineering capabilities that support cyber operations at scale
• Build reliable, secure, and observable services, tools, platforms, or data pipelines aligned to shared engineering standards
• Own service and platform lifecycle expectations, including reliability, operational readiness, observability, and continuous improvement
• Partner across product, platform, and engineering stakeholders to shape architecture, integration design, and delivery sequencing
• Drive platform maturity through automation, reuse, standardization, and strong operational discipline
• Coach and develop engineers while building high-performing teams with strong execution and systems thinking

Cyber Platform Engineer – Software Engineer Manager

• Design and oversee implementation of Windows Server solutions including Configuration Manager (SCCM), Group Policy, and CIS-based security hardening
• Define and enforce best practices for patch management, server software deployment, and disk space remediation
• Lead troubleshooting and root cause analysis for complex infrastructure issues
• Collaborate with cross-functional teams to align infrastructure capabilities with business needs
• Ensure compliance with CIS benchmarks and internal security standards
• Monitor system health and performance, proactively addressing risks and inefficiencies
• Drive automation and process improvements to reduce toil and increase reliability
• Contribute to infrastructure roadmap planning and capacity forecasting
• Partner with leadership to evaluate emerging technologies and recommend adoption strategies

Platform Engineer jobs in India

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Principal Software Engineer – Platform & Services

Senior AIOps Platform Engineer

Senior Platform Engineer

Platform Engineer III

L3 Support / Development Engineer, Domino Platform

Power Platform Developer, Modelling, Portfolio Valuations

Senior Software Engineer – Data Platform

Software Engineer – Data Platform

Customer Identity Platform Engineer

Platform Engineer – Edge, Docker, IIoT

Experienced Apigee Platform Engineer

Engineer, Platform Services Architecture

Airflow Platform Engineer

Software Engineer – AI Platform

Senior Platform Engineer

Senior Power Platform Application Developer

Software Development Engineer III – Opportunities Platform, Frontend

Senior Client Platform Engineer, Support Ops

Cyber Platform Engineer – Software Engineer Manager

Staff Platform Engineer