Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

Now, more than ever, the Toast team is committed to our customers. We’re taking steps to help restaurants navigate these unprecedented times with technology, resources, and community. Our focus is on building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. And because our technology is purpose-built for restaurants, by restaurant people, restaurants can trust that we’ll deliver on their needs for today while investing in experiences that will power their restaurant of the future. 

Bready* to make a change?

Toast is looking for a Staff Machine Learning Engineer to serve as a technical linchpin for our AI Platform team. At the P4 level, you aren't just deploying models; you are designing the fundamental infrastructure that enables dozens of teams to build, deploy, and monitor AI at scale. You will act as a force multiplier, mentoring senior engineers and setting the architectural standards for our MLOps lifecycle—from feature stores and automated retraining to high-performance inference at the edge.

About this Roll*:

• Architectural Leadership: Design and lead the evolution of a unified MLOps platform that supports diverse needs across Toast, ensuring high availability, scalability, and security of ML services.
• Engineering Excellence: Champion and institutionalize best practices for CI/CD for ML (MLOps), automated testing, and infrastructure-as-code (Terraform).
• Cross-Functional Synergy: Lead collaborative efforts across Data Engineering, DevOps, and Product teams to bridge the gap between model prototyping and production-grade reliability.
• Strategic Roadmapping: Partner with leadership and Product Managers to define the 1-2 year technical vision for AI infrastructure, prioritizing long-term stability over short-term fixes.
• Operational Ownership: Set the standard for observability and incident response for ML systems, driving root-cause analysis for complex system failures.
• Mentorship: Actively mentor P2 and P3 engineers, fostering a culture of technical rigor and continuous learning.

Do you have the right ingredients*?

• Education: Bachelor’s or Master’s degree in Computer Science, AI, or a related technical field.
• Experience: A minimum of 10-12+ years of professional software engineering experience, with at least 6-7 years specifically focused on productionizing and scaling ML systems at the enterprise level.
• Core Tech Stack: Expert-level proficiency in Python, Scala, or Java/Kotlin. Extensive experience with PySpark and high-performance computing.
• Generative AI & LLMOps: Proven track record of taking LLM applications from research to production, including experience with Vector Databases, LangChain/LangGraph, and A2A protocols.
• System Design: Superior ability to design distributed systems that handle millions of requests with sub-second latency.
• Experience with microservice based architecture, preferably with AWS tooling (SageMaker, DynamoDB, Athena, Glue, etc.)
• Experience in software engineering best practices and tools including object-oriented programming, test-driven development, CI/CD, git, shell scripting, task orchestration, MLflow
• Profound knowledge of model deployment, orchestration (Apache airflow, Prefect), scaling, and managing CPU/GPU resources efficiently. 
• Exceptional problem-solving, analytical skills and the ability to tackle complex problems with a critical thinking approach. 
• Outstanding communication and interpersonal skills, coupled with a demonstrated ability to work collaboratively within a team environment.
• Foundational knowledge in statistical concepts (e.g. classification, regression, etc) and deep learning algorithms (e.g. CNN, RNN) is desirable

Bonus Ingredients (The "Staff" Edge)

• Data Strategy: Experience implementing enterprise-grade Feature Stores (e.g., Tecton, Feast) and real-time streaming frameworks like Apache Flink or Ray.
• Full-Stack Visibility: Ability to dive into the UI/UX layer (React) or deep into the kernel/networking layer to debug performance bottlenecks.

Open Source/Community: Contributions to relevant open-source projects (MLflow, Kubeflow, etc.) or a history of speaking at industry conferences.

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

About the Role:

We’re a growing SaaS startup building our security team from the ground up. We’re looking for a hands-on Product Security Engineer who enjoys breaking things (responsibly) and helping teams fix them fast.

This role is very practical and impact-driven. You’ll be embedded close to the product and engineering teams, proactively attacking our own systems before anyone else does. If you like moving fast, owning problems end-to-end, and thinking like a real attacker, this role is for you.

What You'll Do:

• Actively test our SaaS product for security vulnerabilities across web apps, APIs, and cloud infrastructure.
• Perform manual security testing and targeted penetration tests (beyond automated scanners).
• Implement and help implement automated security test suites.
• Identify abuse cases, business logic flaws, and real-world attack paths.
• Work directly with engineers to reproduce issues and drive fixes.
• Help introduce lightweight security practices into the development process (threat modeling, secure design reviews).
• Validate fixes and ensure issues are fully resolved.
• Stay current on new vulnerabilities, attack techniques, and SaaS-relevant threats.

What You'll Bring:

• 5+ years of experience in application security, offensive security, or penetration testing.
• Strong understanding of web and API security (OWASP Top 10, auth, sessions, access control).
•  Experience testing modern SaaS products.
• Comfort working in cloud environments (AWS / GCP / Azure at a practical level).
• Experience with common security testing tools (Burp Suite, Nuclei, etc.).
• Ability to communicate findings clearly and pragmatically to engineers.
• Self-starter mindset — comfortable operating with limited process and high ownership.

Preferred, but not required:

• Startup experience or early-stage product exposure.
• Bug bounty or responsible disclosure experience.
• Secure code review experience (any major language).
• Familiarity with CI/CD and modern SDLC security.
• Offensive security certifications (OSCP, GWAPT, etc.).

The Role

We are building a real-time threat intelligence platform from the ground up. This is a zero-to-one initiative focused on streaming critical security data to enterprise teams at scale. As an SWE-2 on this team, you won't just be executing on a roadmap, you'll be helping us find the problems that aren't on it yet. We are looking for a backend engineer with a builder mindset who thrives in an environment where they can take ownership and help define the technical path forward.

What You Will Do

• Build & Scale: Develop and maintain high-performance backend services using Python or Golang.
• Stream Real-Time Data: Build and optimize streaming architectures to handle live threat intelligence with low latency.
• Search & Indexing: Implement and tune OpenSearch/Elasticsearch layers to ensure massive datasets are searchable and actionable.
• Define the "How": Take high-level goals and translate them into technical specs and clean, maintainable code.
• Cloud Ownership: Manage your own deployments and infrastructure within AWS/EKS.
• AI-Augmented Development: Use AI tools to speed up development cycles and automate routine backend tasks.
• Collaborative Innovation: Work closely with the team to identify architectural gaps and proactively suggest improvements.

Must Haves

Nice to Have

• Frontend Basics: Familiarity with React/TypeScript for building internal tools or data visualizations.
• Security Context: An interest in cybersecurity or experience working with security data.
• Tooling: Experience using modern AI productivity tools to increase engineering velocity.

Education

Bachelor of Science degree in Computer Science, Applied Sciences, Information Systems, or a closely related engineering field.

About the Role

🤖 Power Groupon’s Next Chapter with AI-Driven Innovation

Are you a hands-on technical leader ready to shape the next generation of B2B platforms? Join Groupon at a pivotal moment as we transform our business with an aggressive AI-first strategy and modern technology stack. As our new Backend  Engineer for Deal Management, you will drive the architecture, development, and impact of systems that empower local businesses worldwide—right from the ground up.

Key Responsibilities:

• Deliver complex technical initiatives independently within high-availability, mission-critical systems.
• Lead technical reviews and contribute to architectural decisions, specifically driving TypeScript/Node.js migrations.
• Champion AI-assisted development by using tools like Cursor and Claude hands-on; mentor teammates on effective practices and prompt engineering.
• Communicate technical trade-offs clearly to both technical and non-technical stakeholders to ensure alignment on roadmap priorities.
• Own operational excellence by maintaining and improving SLOs, observability, and comprehensive documentation for your areas of ownership.

Key Requirements:

• 6+ years of software engineering experience with deep proficiency in production-grade TypeScript, Node.js
• Distributed systems expertise in high-traffic environments, including API design, monitoring, and advanced debugging.
• AI-Native workflow: Hands-on experience integrating AI coding tools (e.g., Cursor, Claude) into your daily development cycle.
• Strong communication skills and a proven ability to drive cross-functional collaboration.
• Set engineering quality bars by driving best practices around code reviews, testing strategy, security, and performance, ensuring long-term maintainability and scalability of the platform.

Nice to Have:

• Experience scaling E-commerce or marketplace platforms.
• A background in Java to support modernization and refactoring projects will be considered.
• Open source contributions or practical experience with AI/ML integration.
• Experience owning systems end-to-end, including design, development, rollout, and post-production support in fast-moving environments.
• Strong fundamentals in data modeling, system performance optimization, and resilience patterns.
• Prior experience influencing technical direction beyond your immediate team (RFCs, design docs, tech talks, or migration leadership).

What Success Looks Like:

• Independence: Delivering high-quality, well-tested features with minimal guidance.
• Architectural Impact: Active participation in design reviews that tangibly improve team-wide technical solutions.
• Mentorship: Effective coaching of junior engineers with a measurable impact on their technical growth.
• Risk Management: Maintaining clear documentation and proactively identifying risks before they impact the platform.

We Are Interested In:

Engineers who take full technical ownership, embrace AI tooling in their daily work, and deliver reliable systems while growing their impact across the team. We seek a candidate who can balance high-stakes stability with the speed of modern transformation.

Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and enterprise capabilities that accelerate our global growth, profitability, and scale. As we expand Smartsheet India, we’re searching for Senior AI & Data Governance Engineers who crave variety and ownership. You’ll have the opportunity to work across multiple teams and disciplines, building a versatile skillset while solving the complex challenges of a global platform.

You Will:

• Develop and enforce AI&Data governance frameworks, including bias detection, explainability, and model lifecycle management
• Ensure adherence to data privacy laws and security regulations, managing risks in AI and data pipelines
• Implement data lineage, metadata, data management, and quality frameworks
• Implementing tools to track data from its source to the final AI output. If a model breaks, you need to know exactly which data point caused the drift
• Define roles for data custodians, users, and AI developers, promoting transparency and fairness.
• Partner with Legal, Data Engineering, and Security teams to embed security and privacy into AI workflows and data products
• Implement governance tools (e.g., Collibra, Informatica) and automate audit procedure
• Oversee data stewardship to ensure data accuracy, integrity, and privacy throughout its lifecycle
• Designing and enforcing the rules for how data is collected, stored, and used—specifically focusing on data privacy (GDPR, CCPA) and AI regulations (like the EU AI Act).
• AI Ethics & Bias Mitigation: Establishing "Responsible AI" standards. This involves auditing models for algorithmic bias, ensuring transparency (Explainable AI), and managing the ethical implications of automated decision-making
• Risk Management through Identification of Shadow AI (unauthorized use of AI tools) and managing the risks associated with third-party LLM providers
  
  

You Have:

• Experience in AI Governance across foundational pillars like AI Organization, Legal, Regulatory Compliance, Ethics, Transparency, Interoperability, Data/AIOps Infrastructure, AI protection and Security
• AI Risk Assessment & Management, Auditability & Transparency, AI Policy Development
• Databricks AI Governance Framework (DAGF), Databricks Security Framework (DASF), MLFlow, Unity Catalog, RAG Governance
• Programming languages like Python and SQL
• Cloud Platforms: Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP). Experience in AWS hosted data platform is preferable
• In-depth understanding of AI, GenAI, LLMs, data quality assessment, and metadata management.
• Regulatory Knowledge in GDPR, EU AI Act, and industry-specific regulations (e.g., HIPAA, Financial Services)
• Lineage Tracking with automatic capture of end-to-end data flow (from ETL to BI/AI) to understand dependencies.
• Auditability with centralized logs to allow compliance teams to monitor access and usage of data and AI models
• Knowledge of tools for Model Auditing towards Bias detection,, monitoring, and mitigating bias
• Understanding of data masking, encryption, and SOC2
• Certifications like CIPP (Privacy), CDMP (Data Management), or specialized AI ethics certifications is preferable
• Enterprise SaaS software solutions with high availability and scalability
• Legally eligible to work in India on an ongoing basis

Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and enterprise capabilities that accelerate our global growth, profitability, and scale. As we expand Smartsheet India, we’re searching for Senior AI/ML Ops Engineers who crave variety and ownership. You’ll have the opportunity to work across multiple teams and disciplines, building a versatile skillset while solving the complex challenges of a global platform.

You Will:

• Designing, Developing and overseeing the strategy and architecture of scalable and reliable AI/ML Ops platforms / pipelines
• Model Deployment: Package and deploy AI/ML services to production, ensuring they are reproducible and interpretable
• CI/CD Pipeline Development: Design and implement automated CI/CD (Continuous Integration/Continuous Deployment) pipelines to accelerate model deployment using tools
• Infrastructure Management: Provision and optimize infrastructure for training and serving, utilizing Docker, Kubernetes, or serverless platforms
• Monitoring & Observability : Implement post-deployment monitoring for model performance, data drift, and latency using tools. Experience in Monte Carlo is preferable
• Automation: Automate retraining and data pipeline workflows to ensure models stay accurate over time.
• Manage the deployment of foundation models, fine-tuning workflows, and Retrieval-Augmented Generation (RAG) stacks (Vector DBs, Knowledge Graph. Experience with AWS Bedrock is preferable
• Resource Optimization: Manage GPU/CPU utilization to minimize cloud costs while maintaining low-latency inference for users
• Collaboration: Work closely with data scientists, data engineers, and software engineers to bridge the gap between model development and production.
• Version Control & Governance: Manage versioning for data, code, and models using tools like MLflow.
• Security & Compliance: Implementing data security measures, ensuring compliance with data governance policies, and protecting sensitive data
• Technology Evaluation and Innovation: Staying abreast of emerging data technologies and exploring opportunities for innovation to improve the organisation’s data infrastructure
• Troubleshooting and Problem Solving: Diagnosing and resolving complex data-related issues, ensuring the stability and reliability of the data platform
• Perform other duties as assigned

You Have:

• Enterprise SaaS software solutions with high availability and scalability
• Solution handling large scale structured and unstructured data from varied data sources
• Experience in building and maintaining AI/ML Ops platform systems ensuring scalability, reliability, efficiency and security
• Working with Product engineering team to influence designs with data, AI and analytics use cases in mind
• In depth experience in System design, AI/ML Frameworks and tools involving large Petabytes of data with Databricks Lakehouse ecosystem
• AI/MLOps workflows on Databricks , MLFlow, Mosaic AI Agent Framework, Unity Catalog, Vector Search, Knowledge Graph
• Knowledge of AI/ML frameworks like LangChain, LangGraph for AI/ML Ops pipeline integration
• Cloud Platforms: Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP). Experience in AWS hosted data platform is preferable
• Programming languages like Python and SQL
• Modern software engineering practices like Kubernetes, CI/CD, IAC tools (Preferably Terraform), Observability, monitoring and alerting
• Solution Cost Optimisations and design to cost
• Legally eligible to work in India on an ongoing basis

Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and enterprise capabilities that accelerate our global growth, profitability, and scale. As we expand Smartsheet India, we’re searching for Senior AI/ML Ops Engineers who crave variety and ownership. You’ll have the opportunity to work across multiple teams and disciplines, building a versatile skillset while solving the complex challenges of a global platform.

You Will:

• Designing, Developing and overseeing the strategy and architecture of scalable and reliable AI/ML Ops platforms / pipelines
• Model Deployment: Package and deploy AI/ML services to production, ensuring they are reproducible and interpretable
• CI/CD Pipeline Development: Design and implement automated CI/CD (Continuous Integration/Continuous Deployment) pipelines to accelerate model deployment using tools
• Infrastructure Management: Provision and optimize infrastructure for training and serving, utilizing Docker, Kubernetes, or serverless platforms
• Monitoring & Observability : Implement post-deployment monitoring for model performance, data drift, and latency using tools. Experience in Monte Carlo is preferable
• Automation: Automate retraining and data pipeline workflows to ensure models stay accurate over time.
• Manage the deployment of foundation models, fine-tuning workflows, and Retrieval-Augmented Generation (RAG) stacks (Vector DBs, Knowledge Graph. Experience with AWS Bedrock is preferable
• Resource Optimization: Manage GPU/CPU utilization to minimize cloud costs while maintaining low-latency inference for users
• Collaboration: Work closely with data scientists, data engineers, and software engineers to bridge the gap between model development and production.
• Version Control & Governance: Manage versioning for data, code, and models using tools like MLflow.
• Security & Compliance: Implementing data security measures, ensuring compliance with data governance policies, and protecting sensitive data
• Technology Evaluation and Innovation: Staying abreast of emerging data technologies and exploring opportunities for innovation to improve the organisation’s data infrastructure
• Troubleshooting and Problem Solving: Diagnosing and resolving complex data-related issues, ensuring the stability and reliability of the data platform
• Perform other duties as assigned

You Have:

• Enterprise SaaS software solutions with high availability and scalability
• Solution handling large scale structured and unstructured data from varied data sources
• Experience in building and maintaining AI/ML Ops platform systems ensuring scalability, reliability, efficiency and security
• Working with Product engineering team to influence designs with data, AI and analytics use cases in mind
• In depth experience in System design, AI/ML Frameworks and tools involving large Petabytes of data with Databricks Lakehouse ecosystem
• AI/MLOps workflows on Databricks , MLFlow, Mosaic AI Agent Framework, Unity Catalog, Vector Search, Knowledge Graph
• Knowledge of AI/ML frameworks like LangChain, LangGraph for AI/ML Ops pipeline integration
• Cloud Platforms: Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP). Experience in AWS hosted data platform is preferable
• Programming languages like Python and SQL
• Modern software engineering practices like Kubernetes, CI/CD, IAC tools (Preferably Terraform), Observability, monitoring and alerting
• Solution Cost Optimisations and design to cost
• Legally eligible to work in India on an ongoing basis

Corporate Systems Engineering builds and operates the software platforms, integrations, and automations that power Smartsheet’s core business functions across Finance, Sales/GTM, and People & Culture.  Our team owns mission-critical systems and workflows that enable how the company hires, sells, bills, pays, reports, and scales. We operate at the intersection of software engineering, enterprise platforms, and business-critical data, treating internal systems with the same rigor, reliability, and product mindset as customer-facing software.

The People Systems team engineers and operates platforms that support the employee lifecycle, including HR, payroll, learning, and talent systems.  We balance deep platform configuration with extensibility, integrations, and data integrity to deliver reliable, compliant systems that scale with the organization.

As a Sr. HR Systems Engineer on the People Systems team, you will operate as a technical leader within the People & Culture (P&C) domain, owning complex, high-impact engineering work that extends beyond traditional application configuration. This role focuses on building scalable, reliable, and extensible solutions across Workday, People data, integrations, and automation that support the full employee lifecycle and enable the business to operate with accuracy, speed, and insight. You will work at the intersection of enterprise platforms, custom engineering, and data, helping evolve People Systems from primarily UI-driven administration into a product-grade, engineering-led capability within Product Engineering.

This role is suited for a senior engineer who is comfortable working across configuration, code, integrations, and data - and who enjoys solving ambiguous, cross-functional problems in a regulated enterprise environment.

You Will:

• Act as a senior technical owner within the People Systems domain, responsible for designing and delivering complex solutions across Workday, integrations, and supporting platforms
• Lead engineering efforts related to People data flows, including hire-to-retire lifecycle events, data synchronization, and downstream consumption by Finance, Security, and Analytics
• Design and implement custom extensions and integrations using tools such as Workday Studio, APIs, middleware, or AWS-based services
• Partner with Integrations and Automation teams to build event-driven, automated People workflows (e.g., joiner/mover/leaver, access provisioning, data updates)
• Own the technical design and implementation of People-related integrations and data contracts, ensuring reliability, auditability, and clear ownership
• Contribute to People reporting and analytics initiatives by enabling high-quality, well-modeled People data for BI, compliance, and workforce insights
• Identify opportunities to reduce manual People operations through automation, configuration-as-code patterns, and reusable components
• Provide technical leadership and mentorship to other People Systems engineers, reviewing designs and code and setting quality standards
• Partner closely with Product Managers, HR stakeholders, Security, and Compliance to translate People domain needs into robust technical solutions
• Participate in on-call rotations and operational ownership for People Systems, ensuring reliability and rapid issue resolution

You Have:

• 6-8 years experience building and supporting enterprise systems, with deep exposure to HR/People platforms such as Workday
• Experience extending enterprise platforms through custom development, APIs, middleware, or platform-specific tooling (e.g., Workday Studio or similar)
• Strong understanding of system-to-system integrations, data modeling, and event-driven workflows
• Comfort working across both UI-driven configuration and code-based solutions
• Experience operating in environments with compliance, audit, and security requirements (SOX, ITGC, access controls)
• Ability to lead technical initiatives independently and make sound architectural decisions
• Strong communication skills and comfort collaborating with non-technical stakeholders
• Experience mentoring engineers and raising the technical bar of a team
• Experience with People data analytics, reporting pipelines, or workforce metrics
• Familiarity with identity lifecycle management and security integrations tied to HR systems
• Experience building internal tools or automations that support HR or People Operations teams
• Exposure to cloud platforms (AWS), scripting languages, or automation frameworks
• Experience working in Product Engineering organizations rather than traditional IT

Smartsheet is hiring a Senior Machine Learning Operations Engineer to architect our machine learning production lifecycle. Your mission is to maintain and deploy ML models to a scalable, reliable, and secure production environment. You will design and maintain the infrastructure, automation, and monitoring systems that ensure our AI products are high-performing and cost-effective.

You will report to our Director, Analytics Engineering & Data Governance and work from our Bangalore, India office. 

You Will:

Model and Pipeline Automation 

• Automate the deployment and retraining of ML models, from training through to production inference, by building and managing complete CI/CD/CT (Continuous Training) pipelines, adhering to MLOps best practices. 
• Build, fine-tune, or use pre-trained LLMs, deep learning models or traditional machine learning models.
• Evaluate and recommend AI or ML solutions for the product using any combination of vendor solutions and/or custom-built models.

Governance & Compliance

• Implement model versioning, lineage tracking, and auditing to ensure compliance with security and ethical standards.

Performance Monitoring

• Continuously monitor the health and performance of production machine learning models, proactively identifying and correcting model drift, staleness, and performance degradation. 
• Incorporate user feedback for iterative improvements and manage necessary model retraining cycles.

Cross-Functional Collaboration

• Act as the "glue" between Data Scientists (who build models) and Software Engineers (who consume them).
• Partner effectively with software engineers, product managers and business functions to integrate the machine learning solutions across smartsheet.

Architecture and Infrastructure Management

• Provision and manage scalable cloud infrastructure using Infrastructure as Code (IaC).
• Provide architectural guidance and mentorship to a team consisting of ML engineers, data scientists and analytics engineers.
• Distill complex ML concepts into easy-to-follow technical documentation.

You Have:

• 5+ years of experience with creating, deploying and scaling machine learning solutions in a cloud environment (eg. AWS, GCP, Azure) and ability to use tools such as SageMaker, Glue, Lambda, Docker etc. to create ML models and data pipelines. 
• 7+ years of programming experience in languages used in AI/ML (eg python, scala etc)
• 4+ years of experience in developing deep learning and traditional ML models using common frameworks like pytorch, tensorflow, huggingface, scikit-learn etc.
• Strong applied data science skills - ability to recognize data patterns, understand how and when to use various machine learning approaches (eg. supervised/unsupervised learning, deep learning etc.), and evaluate the performance of ML algorithms. 
• Proven ability to remain up-to-date with the latest advancements in Generative AI approaches (eg. OpenAI, LangChain, Stable Diffusion APIs).
• Experience developing, documenting, and supporting REST APIs
• A degree in Computer Science, Engineering, or a related field or equivalent practical experience.

Smartsheet is looking for an experienced IT Automation Engineer to drive automation initiatives, streamline operations, and influence infrastructure decisions. With thousands of employees and complex enterprise systems there is lots of opportunity to make a meaningful impact and reduce manual effort through intelligent automation within Smartsheet. You are curious, have strong scripting and systems integration skills and the ability to communicate technical solutions effectively. You will work primarily with IT and Security teams and will be a part of Smartsheet's IT Operations team.

You Will:

• Identify repetitive Tier 1 tasks and leverage scripting and workflow tools to fully automate them, streamlining operations and driving key performance metrics such as ticket resolution time and automation coverage.
• Develop and deploy Freshservice orchestrations integrated with core systems like AD, M365, and Jamf using APIs.
• Write and maintain robust PowerShell and Python scripts for endpoint management and service maintenance tasks.
• Track the success rates of deployed automations, document new workflows, and continuously optimize processes for efficiency.

You Have:

• 3+ years of IT or DevOps experience with a strong focus on scripting and system integration.
• Strong grasp of ITSM processes and experience working with APIs for integration.
• Proven automation portfolio using tools like Freshservice Workflow Automator, Power Automate, or RPA platforms.
• Experience with tools like PowerShell, Python, Intune, and Active Directory.
• Analytical mindset, strong problem-solving skills, and discipline in technical documentation.

Automation is the key to creating highly reliable and secure large-scale software systems. Are you someone who engineers solutions to problems rather than simply fixing the same thing over and over again? Can you protect Smartsheet against attackers?

We are looking for a Senior DevSecOps Engineer to join our global Security Operations team. In this critical role, you will be a leader in maturing our security and reliability posture by treating both as software engineering challenges. You will engineer and operate a highly reliable, scalable, and defensible production environment, directly impacting our ability to deliver a world-class service to our customers 24/7. This is a unique opportunity to blend deep expertise in Site Reliability Engineering (SRE) and modern Security Operations, working at the intersection of infrastructure, automation, and security to build a platform that is resilient and secure by design.

You Will:

• Engineer Secure and Resilient Infrastructure: Design, build, maintain, and improve secure, scalable, and highly available infrastructure in our multi-cloud environment (primarily AWS) using Infrastructure as Code (IaC) principles with tools like Terraform, Kubernetes, and Helm.
• Automate Proactive Security: Engineer and automate threat detection, incident response, and vulnerability management processes. You will build the tools and workflows that allow us to respond to threats at machine speed.
• Secure the Software Development Lifecycle: Architect and secure our CI/CD pipelines, integrating automated security tooling (SAST, DAST, SCA) to provide developers with fast, actionable feedback.
• Master Container Security: Manage, operate, and secure our container orchestration platform (Kubernetes), implementing best practices for container security from the registry to runtime, including knowledge of hardening requirements such as CIS Benchmarks or DISA STIG.
• Lead Incident Response: Act as a technical lead during security and reliability incidents, driving resolution and conducting blameless post-mortems to engineer preventative solutions.
• Drive Automated Compliance: Implement and automate technical controls to ensure continuous compliance with frameworks such as FedRAMP, SOC 2, and ISO 27001.
• Mentor and Lead: Serve as a subject matter expert for security and reliability, mentoring other engineers and championing a culture of operational excellence and security ownership across the organization.

You Have:

• 8+ years of progressive experience in technology, with at least 5 years in a hands-on senior role such as Site Reliability Engineering, DevOps, or Security Engineering.
• A BS or MS in Computer Science, Engineering, or a related field, or equivalent industry experience.
• Expert-level proficiency in at least one major cloud provider, preferably AWS, with deep knowledge of core infrastructure and security services.
• Expert-level proficiency with Infrastructure as Code, particularly Terraform.
• Expert-level proficiency in a scripting or programming language such as Python, Go, or Ruby, with a proven history of building automation and custom tooling.
• Deep experience with containerization and orchestration technologies (Kubernetes), including securing containerized environments.
• Proficiency with the modern security operations toolchain, including SIEM, EDR, and vulnerability scanning technologies.
• Experience integrating security tools (SAST, DAST, SCA) into CI/CD pipelines.
• A critical thinker with a proven ability to troubleshoot complex problems in high-pressure production environments.
• Excellent verbal and written communication skills and a collaborative spirit. This will include fluency in English.

Nice to Have

• Advanced industry certifications such as CISSP, CISM, OSCP, or cloud-specific security certifications.
• Experience with compliance frameworks like FedRAMP, ISO27001, SOC2.

Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and enterprise capabilities that accelerate our global growth, profitability, and scale. As we expand Smartsheet India, we’re searching for Principal Data & AI/ML Ops Engineers, who crave variety and ownership. You’ll have the opportunity to work across multiple teams and disciplines, building a versatile skillset while solving the complex challenges of a global platform. 

You Will:

• Data Architecture and Design: Designing and overseeing the architecture of scalable and reliable data platforms, including data pipelines, storage solutions, and processing systems
• Data Modelling and Management:Developing and implementing data models, ensuring data quality, and establishing data governance policies
• Data Pipeline Development: Building and optimising data pipelines for ingesting, processing, and transforming large datasets from various sources
• Performance Optimisation: Identifying and resolving performance bottlenecks in data pipelines and systems, ensuring efficient data retrieval and processing
• Technology Evaluation and Innovation: Staying abreast of emerging data technologies and exploring opportunities for innovation to improve the organisation’s data infrastructure
• Troubleshooting and Problem Solving: Diagnosing and resolving complex data-related issues, ensuring the stability and reliability of the data platform
• Data Security and Compliance: Implementing data security measures, ensuring compliance with data governance policies, and protecting sensitive data
• Perform other duties as assigned

You Have:

• Enterprise SaaS software solutions with high availability and scalability
• Solution handling large scale structured and unstructured data from varied data sources
• Experience in building and maintaining data platform systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure ensuring scalability, reliability, efficiency and security
• Working with Product engineering team to influence designs with data, AI and analytics use cases in mind
• In depth experience in System design involving large Petabytes of data with Databricks Lakehouse
• Experience in modern AI/Data infrastructure patterns, Semantics layer Organizing data for AI agents (metadata, context)
• AI/MLOps workflows on Databricks , MLFlow, Mosaic AI Agent Framework, Unity Catalog, Vector Search, Knowledge Graph
• Knowledge of AI/ML frameworks like LangChain, LangGraph for AI/ML Ops pipeline integration
• Cloud Platforms: Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP). Experience in AWS hosted data platform is preferable
• Programming languages like Python, SQL, and potentially Java or Scala
• Exposure to Snowflake and Data pipeline frameworks like Airbyte/Airflow is preferable
• Modern software engineering practices like Kubernetes, CI/CD, IAC tools (Preferably Terraform), Observability, monitoring and alerting
• Solution Cost Optimisations and design to cost
• Driving engineering excellence initiatives
• Legally eligible to work in India on an ongoing basis

We are looking for a bright and motivated Help Desk Engineer to deliver enterprise-level technical support to our internal customers. You’ll be the first point of contact for troubleshooting and resolving IT issues via phone, email, chat, and ticketing systems.
This is a high-impact role where your technical expertise and customer-first mindset will directly contribute to the productivity of our global teams.

Responsibilities
• Provide Tier 1 support for desktops, laptops, mobile devices, printers, and peripherals.
• Troubleshoot issues related to Microsoft 365, Windows OS, Exchange Admin, Google Workspace, and VPN/Wi-Fi connectivity.
• Resolve incidents and service requests using ITSM tools and follow ITIL best practices.
• Maintain accurate documentation of issues and resolutions in the help desk system.
• Escalate complex issues to appropriate teams while ensuring timely follow-up.
• Collaborate with global IT teams to support onboarding/offboarding and hardware provisioning.

Requirements: 
• 1–3 years of experience in a Help Desk or IT Support role.
• Strong knowledge of Microsoft domain environments, Active Directory, Windows and Mac OS.
• Familiarity with ITSM tools and ticketing systems.
• Understanding of networking fundamentals (TCP/IP, DNS, DHCP, VPN).
• Excellent communication and interpersonal skills.
• Ability to work independently and manage multiple priorities in a fast-paced environment.
• Certifications like CompTIA A+, ITIL Foundation, or Microsoft Certified: Modern Desktop Administrator Associate.
• Experience supporting global teams across multiple time zones.

Role

We’re looking for a Principal Software Development Engineer to join our team. Based out of our Bangalore office, you will report to the Senior Manager, Software Engineering within the Zero Trust Exchange department.

As a Principal Software Engineer you will build the backend systems that keep the product fast, reliable, and able to scale as usage grows. You will create microservices and event-driven workflows, and ensure data can be ingested and queried efficiently across relational, graph, and time-series databases. You will also drive cross-team execution by collaborating closely with multiple groups to deliver high-quality results on tight timelines.

What you’ll do (Role Expectations)

• Architect and deliver scalable microservices on EKS (GoLang): design, build, and operate production services that meet uptime, latency, and scale goals
• Build event-driven pipelines with Kafka and MQTT: implement asynchronous workflows that are resilient, observable, and easy to evolve as product needs change
• Design high-performance data models and access patterns: optimize ingest and querying across RDS MySQL, Neo4J, and ElasticSearch for correctness, speed, and cost efficiency
• Harden production readiness and operational excellence: establish monitoring, alerting, tracing, and on-call standards; drive root-cause fixes and reliability improvements
• Lead cross-team delivery and technical direction: align stakeholders, break down complex work, and execute quickly while maintaining a high bar for quality and security

Who You Are (Success Profile)

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
• You are a positive force. You approach hard problems with constructive energy and a 'can-do' spirit that is contagious, inspiring your team to stay focused on the solution.
• You are a pragmatic builder. You are obsessed with creating, iterating, and shipping. You aren't afraid to roll up your sleeves and build the first version yourself, balancing the drive for technical excellence with the need to deliver value to users quickly.
• You champion simplicity. You are skilled at distilling complex problems, user needs, and technical concepts into clear, simple, and actionable plans. You are a precise communicator who brings clarity and focus to every interaction.

What We’re Looking for (Minimum Qualifications)

• Senior-level backend engineering experience designing and shipping highly scalable microservices in production developed in Go
• Proven experience with event-driven, asynchronous architectures using messaging/streaming platforms such as Kafka
• Strong data engineering and persistence skills building efficient ingest and query patterns across relational databases (MySQL) plus at least one of ElasticSearch or Neo4J
• Hands-on experience running services on Kubernetes (ideally EKS), including deployment, troubleshooting, and operational ownership

What Will Make You Stand Out (Preferred Qualifications)

• Proven ability to profile and optimize distributed systems end-to-end (latency, throughput, resource usage), including performance tuning across services, databases, and messaging
• Strong track record designing debuggability/observability for distributed applications—structured logging, metrics, distributed tracing, and actionable dashboards/alerts for rapid incident triage
• Experience defining and operationalizing SLIs/SLOs (error budgets, alert policies, reliability reporting) and driving product decisions based on measured service health

#LI-Hybrid #LI-NT1

Role 

We are looking for a Principal Software Engineer to join our team. This is a hybrid role based in Mohali/India, reporting to the Director, Software Engineering within the Shared Platform Services department. As a technical leader, you will drive the evolution of our platform by designing and building scalable, high-performance microservices. You will bridge the gap between architectural vision and hands-on execution to deliver robust APIs that power our global infrastructure.

What you’ll do (Role Expectations)

• Develop high-quality, performant, and secure APIs and microservices that are reusable and extensible
• Collaborate with front-end engineers to define and deliver endpoints for high-quality user interfaces
• Lead DevOps initiatives including continuous integration, provisioning, and software version control
• Design and extend in-house APIs and client-side code using RESTful standards and SDKs
• Drive strategic contributions to system design and long-term platform architecture

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• Deep expertise in hands-on software application development for complex, large-scale systems
• Proficiency with Quarkus (Mutiny) and Spring (Webflux) reactive frameworks
• Experience building cloud-native distributed applications with Dapr and Kubernetes
• Background in containerized deployment using Docker and Kubernetes on AWS, GCP, or similar cloud providers
• Ability to work independently and pivot quickly in a fast-paced Agile environment

What Will Make You Stand Out (Preferred Qualifications)

• Advanced knowledge of Docker/Kubernetes and container infrastructure internals
• Polyglot coding ability with comfort switching between Java, Go, and Python
• Direct experience building and managing Gitlab CI/CD pipelines

#LI-Hybrid #LI-SU1

About the Role:

Production Engineer
The Production Engineer at Rubrik plays a critical role in operational excellence, managing alerts, responding to outages, and leading incident resolution as an Incident Manager. This role requires hands-on experience in maintaining highly available critical services across multi-cloud environments while driving continuous improvements through automation and intelligent monitoring.

What you’ll do:

• Join a 24/7 Production Operations team responsible for managing and supporting critical infrastructure and services in multi-cloud environments.
• Oversee staging and production environments to ensure maximum uptime and reliability.
• Implement and maintain comprehensive observability solutions for real-time monitoring, alerting, and metrics collection.
• Lead incident management efforts by swiftly responding to alerts and outages, coordinating teams to drive timely resolution.
• Analyze recurring incidents to identify root causes, reduce toil, and improve system resilience.
• Design and develop automation tools to proactively detect, triage, and remediate production issues.
• Maintain and update runbooks to support incident response and recurring issues.
• Demonstrate strong decision-making skills under pressure, effectively managing critical situations with urgency and composure.

Experience you’ll need:

• Solid understanding of distributed system concepts.
• Practical experience working with production systems and environments, preferably within public cloud infrastructures.
• Familiarity with container orchestration platforms, especially Kubernetes.
• Hands-on experience with infrastructure  management tools like CloudFormation and Terraform.
• Strong analytical and problem-solving skills  for diagnosing and resolving system and application issues.
• Proficient in data structures and algorithms, UNIX, networking, operating systems, and database systems such as MySQL.
• Proficient with Python programming skills.
• Excellent verbal and written communication skills.

Location: Bangalore, India
Work Shift: Rotation (24/7 coverage expected) 

ABOUT RUBRIK

Join Us in Securing the World's Data

Rubrik (NYSE: RBRK) is on a mission to secure the world’s data. With Zero Trust Data Security™, we help organizations achieve business resilience against cyberattacks, malicious insiders, and operational disruptions. Rubrik Security Cloud, powered by machine learning, secures data across enterprise, cloud, and SaaS applications. We help organizations uphold data integrity, deliver data availability that withstands adverse conditions, continuously monitor data risks and threats, and restore businesses with their data when infrastructure is attacked.

Rubrik provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Rubrik complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

About the Team

The Rubrik Cloud Native Protection team helps customers secure their data on the cloud. Cloud data is growing at an ever growing pace and so are the risks with cyber attacks targeted towards cloud data.  We make it easy for businesses to protect, search, analyze all of their cloud data simply and scalably. 

Cloud Native Protection is one of the fastest growing businesses and teams within Rubrik.  We consider ourselves a startup inside a startup!  Join us in this journey where there are ever widening avenues to explore, opportunities to innovate, deep engineering problems to tackle.  We believe in fostering a culture with strong engineering values and teamwork as the key to building a great company and product.

Some recent/ongoing projects include:

• Delivering platform security for major enterprises applying security best practices to help our customers with Rubrik as a last line of defense
• Developing a platform for protecting relational PaaS databases across clouds. 

As a Staff Software Engineer, you will play a key role as a technical leader—driving architectural decisions, mentoring engineers, and delivering highly scalable distributed services. You will work across teams to solve complex technical challenges and ensure Rubrik continues to set the industry benchmark in data security and protection.

What you’ll do

• Lead the design and development of cloud-native services for backup, recovery, and security of workloads.
• Own and drive end-to-end initiatives from architecture to production deployment and scale.
• Collaborate with Product Management and Architecture teams to define and evolve the technical roadmap.
• Guide engineers on best practices for distributed systems, scalability, and resiliency in cloud environments.
• Evaluate new technologies, design patterns, and frameworks to continuously improve system performance and reliability.
• Mentor and coach engineers, raising the technical bar for the entire team.
• Troubleshoot complex customer issues across cloud and hybrid deployments.
• Champion automation, CI/CD pipelines, and cloud-native observability for high-quality releases.

Experience you’ll need

• Bachelor’s/Master’s in Computer Science or equivalent with strong problem-solving skills.
• 11+ years of experience in building large-scale, distributed enterprise or cloud-native software.
• Strong fundamentals in distributed systems, and cloud-native design.
• Deep expertise in programming languages such as Java, Go, or Python.
• Hands-on experience with public cloud platforms (AWS, Azure, GCP) and their native services.
• Solid understanding of Kubernetes, Docker, microservices, and event-driven architectures.
• Proven track record of leading technical design/architecture discussions and shipping scalable, resilient systems.
• Experience mentoring engineers and driving cross-team technical initiatives.
• Exposure to storage, backup/recovery, security, or observability systems is a strong plus.

About the role 

The Senior Integration, API & Automation Engineer is a hands-on technical lead role responsible for shaping and executing Rubrik’s enterprise API, integration, and AI‑driven automation strategy.

Broadly, the role will focus on designing, building, and governing secure, scalable APIs and integrations between our core business platforms and third‑party systems (e.g., ERP, HCM, CRM, data platforms), while mentoring engineers and driving best practices across the organization. In addition, this role will help us embed AI capabilities (LLMs, Claude, decisioning services, intelligent workflows) into APIs and business processes to improve reliability, productivity, and insight.

You will work closely with senior business stakeholders, application owners, security, data, and IT teams to define API‑first, AI‑aware integration patterns and standards that deliver robust, secure, real‑time and batch integrations using REST APIs, webhooks, messaging, file‑based interfaces, and AI services.

This role will primarily leverage MuleSoft Anypoint Platform (or similar iPaaS) for API‑led connectivity and sits within the Enterprise Integrations & Intelligent Automations team as a key technical authority.

What you'll do

• Own the API and integration architecture and strategy for assigned domains, defining API‑led patterns (Experience, Process, and System APIs), reference architectures, and standards for how systems integrate across the enterprise.
• Design, build, and evolve RESTful APIs that expose well‑designed resources and operations to internal and external consumers, with clear contracts, documentation, and SLAs.
• Lead implementation of integrations between SaaS and on‑prem applications (e.g., NetSuite, Workday, Salesforce, Snowflake, ServiceNow), Finance, HR, Security, and GTM platforms, ensuring solutions are scalable, secure, resilient, and observable.
• Create data integration strategies for high volumes of data in transit, optimizing for performance, reliability, and cost (e.g., streaming vs. batch, push vs. pull APIs, caching, backoff strategies).
• Define and enforce API governance, including:
• Provide technical leadership to integration and API engineers, including solutioning, design reviews, code reviews, and mentoring of junior and contract engineers.
• Implement and manage REST/SOAP APIs, webhooks, and messaging interfaces from conceptual design through development, performance testing, deployment, and lifecycle management via an API gateway or iPaaS (e.g., MuleSoft Anypoint Platform).
• Architect robust data integrations for both real‑time and scheduled (batch) workloads using APIs, messaging, sFTP, and file‑based exchanges (JSON, XML, CSV), with well‑defined contracts, SLAs, and monitoring.
• Define non‑functional requirements (NFRs) and SLAs for APIs and integrations—availability, latency, throughput, error budgets, RTO/RPO—and ensure designs and implementations meet or exceed them.
• Drive observability and reliability for APIs and integrations by standardizing logging, tracing, metrics, dashboards, and alerting, and by creating operational runbooks for incident response and post‑incident reviews.

AI & Intelligent Automation Responsibilities

• Identify and prioritize AI opportunities within API and integration flows (e.g., data enrichment, anomaly detection, routing, summarization, classification, intent extraction).
• Define safe and governed AI usage within APIs and integrations, including:
• Clear input/output contracts for AI services
• Guardrails (prompt design, validation, constraints)
• Handling of sensitive data (PII/financial/HR data) in prompts and responses
• Monitoring for model performance and drift in production.
• Integrate with AI platforms and services (internal or external), including model APIs, vector stores, and feature stores, using strong API design and security practices.

Stakeholder, Security, and Platform Responsibilities

• Partner with security, compliance, and audit teams to ensure integrations, APIs, and AI services meet security, privacy, and regulatory requirements (e.g., SOX‑sensitive data flows, access control, encryption, audit trails).
• Lead technical discovery and solution design for new API, integration, and AI‑automation initiatives, working with product managers, application owners, and business stakeholders to shape requirements and translate them into well‑defined technical designs.
• Own vendor and platform technical relationships for integration technologies and key SaaS systems; understand vendor APIs and change roadmaps, anticipate the impact of deprecations, and coordinate upgrades and migrations.
• Oversee CI/CD practices for APIs, integrations, and AI services, including branching and release strategies, automated testing (unit, integration, regression), and environment configuration management for Dev/QA/UAT/Prod.
• Champion reuse and standardization by building and curating shared assets such as:
• Generic APIs (e.g., email, JIRA, logging, AI utility services)
• Common connectors and API client libraries
• Templates and integration catalogs
  and ensuring they are adopted broadly.
• Participate in and improve KTLO/on‑call rotations for critical APIs, integrations, and AI services, using incident data to drive structural improvements, technical debt reduction, and increased reliability.
• Communicate clearly with technical and non‑technical audiences, producing architecture diagrams, decision records, and documentation that make complex API, integration, and AI solutions easy to understand, operate, and evolve.

Experience you'll need

• Education & Experience

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or equivalent practical experience.
  • 10+ years of overall software/integration engineering experience, with 8+ years focused on API and enterprise integrations.
  • 4+ years in a senior/lead/architect capacity, owning API and integration designs, patterns, and technical decisions for complex cross‑system and enterprise application solutions.
  • Experience designing and delivering AI‑enabled features or workflows as part of production systems (e.g., integrating with LLM or ML APIs, AI‑based decisioning, or intelligent automation).

Technical Skills – API Engineering

• Deep expertise in RESTful API design and implementation, including:
• Resource modeling, URI design, and standard HTTP methods
• API‑first/contract‑first design (RAML/OpenAPI)
• Pagination, filtering, sorting, and partial responses
• Versioning strategies (URL, header, content negotiation)
• Idempotency and robust error handling patterns.
• Strong experience building secure, resilient, and scalable APIs, including:
• API gateways (e.g., MuleSoft, Apigee, Kong, AWS API Gateway)
• Rate limiting, throttling, caching, and circuit‑breaker patterns
• Timeout, retry, and backoff strategies.
• Solid understanding of webhooks and event‑driven APIs, including subscription management, signature validation, replay protection, and idempotent consumers.
• Hands-on experience with API client development and integration patterns (SDKs, service‑to‑service communication, backend‑for‑frontend, composite APIs).

Technical Skills – Integration & Platforms

• Strong experience with MuleSoft Anypoint Platform (or equivalent iPaaS), including API Manager, Runtime Manager/CloudHub, Anypoint Exchange, and design/deployment best practices.
• Solid understanding of SOAP services, messaging patterns (pub/sub, event‑driven integrations), and when to apply each.
• Proficiency with integration data formats and transformation (JSON, XML, CSV, mapping, enrichment, aggregation, canonical models).
• Strong database and data modeling skills, including SQL and working with relational databases (e.g., Postgres, SQL Server, Oracle) in integration scenarios.
• Experience designing and implementing secure integrations, including:
• OAuth 2.0/OpenID Connect
• API keys and mutual TLS
• Role/permission models and fine‑grained authorization
• Secrets management (e.g., HashiCorp Vault, cloud KMS).
• Hands‑on experience with CI/CD pipelines and Git‑based workflows, including automated testing, static analysis, deployment automation, and environment configuration for API and integration services.
• Demonstrated experience integrating with several of the following: NetSuite, Workday, Salesforce, Snowflake, ServiceNow, Coupa, DocuSign, ChromeRiver, Marketo, identity/IAM platforms, external APIs, and internal APIs.
• Practical experience working with AI/ML or LLM APIs (e.g., OpenAI, Azure OpenAI, Vertex AI, Bedrock, or internal model APIs), including:
• Designing API requests and responses for AI‑backed features
• Prompt engineering and response validation
• Handling rate limits, retries, timeouts, and partial failures within integration flows.
• Familiarity with event‑driven and streaming architectures (e.g., Kafka, EventBridge, Event Hubs) and how to combine them with AI services for near real‑time decisioning and automation.

Soft Skills

• Proven ability to lead without direct authority, influencing cross‑functional teams and driving technical decisions through clarity and data rather than hierarchy.
• Strong architectural thinking and problem‑solving skills, including the ability to decompose complex business processes into robust API, integration, and AI‑enabled designs.
• Excellent communication and documentation skills, comfortable presenting solutions and trade‑offs to engineers, managers, and senior business stakeholders.
• Experience working in agile environments, collaborating closely with product owners, scrum teams, and distributed stakeholders across time zones.
• Bias toward automation, standardization, and continuous improvement, with a pragmatic approach to balancing speed, risk, and long‑term maintainability.

Preferred Qualifications

• Professional MuleSoft certifications (e.g., MuleSoft Certified Integration Architect, MuleSoft Certified Developer) or equivalent certifications from other integration platforms.
• Experience designing and operating public or partner-facing APIs with clear productization (API lifecycle, developer experience, SLAs, and commercial considerations).
• Experience designing and operating integrations in regulated or security‑sensitive environments (e.g., SOX, FedRAMP, customer‑facing APIs) with a strong emphasis on auditability and change control.
• Experience with event‑driven and streaming platforms (e.g., Kafka, AWS EventBridge, Azure Event Hubs) and their role in modern API and integration architectures.
• Exposure to automation/workflow platforms (e.g., Zapier, Workato, low‑code tools) and how they complement enterprise integration layers and AI‑based automation.
• Experience building and maintaining API and integration runbooks, catalogs, and governance processes, and contributing to enterprise architecture forums or design reviews.
• Experience with observability stacks (e.g., Datadog, Splunk, New Relic, OpenTelemetry) for monitoring APIs, integrations, and AI services in production.
• Familiarity with data and AI governance concepts (e.g., data classification, lineage, model governance, responsible AI practices) and how they apply within API, integration, and automation patterns.

We are seeking a seasoned Platform / Site Reliability Engineer to lead the evolution and performance of our Kubernetes-based production environment. In this role, you will drive reliability, scalability, and observability across mission-critical systems while working hands-on with Kubernetes, GCP, Terraform, and modern infrastructure automation. You will partner closely with Engineering and Support teams to optimize system performance, influence architectural decisions, and build resilient platforms that enable business growth at scale.

Responsibilities:

• Maintain, scale, and enhance our Kubernetes production platform
• Improve the performance, reliability, and availability of production systems
• Ensure comprehensive observability across services, infrastructure, and applications (metrics, logs, traces, alerts)
• Diagnose and tune database and service performance across distributed systems
• Partner with Development teams to assess platform impact of new features and architectural changes
• Identify architecture bottlenecks and contribute to scalable, resilient technical solutions
• Collaborate with Support teams to build and maintain operational runbooks and improve incident response processes

Requirements:

• 5+ years of hands-on Kubernetes experience in production environments
• Strong expertise with Linux systems administration and troubleshooting
• GCP cloud experience required; multi-cloud exposure is a plus
• Proficiency with Terraform and infrastructure-as-code workflows
• Strong understanding of container lifecycle management and deployments
• Programming experience in Go, Python, or a comparable language
• Experience with database performance optimization and tuning
• Solid knowledge of networking fundamentals and network-level troubleshooting

Education and Experience:

• At least 10+ years of related experience with a Bachelor’s degree; or 8 years and a Master’s degree; or a PhD with 5 years experience; or equivalent experience preferred
•  Degree in Computer Science, Engineering, or related field preferred
  
  

#LI-KB7

#LI-Hybrid

#GCP

#Python

We’re looking for a highly skilled Platform Engineer to help scale and strengthen our Kubernetes-based production environment. In this role, you’ll take ownership of platform reliability, performance, and observability while working hands-on across Kubernetes, GCP, Terraform, and modern infrastructure automation. You’ll collaborate closely with Engineering and Product teams to influence architecture decisions, solve complex performance challenges, and design resilient, scalable systems that support our growing platform. This is a high-impact role for someone who thrives in technical problem-solving, cares deeply about operational excellence, and enjoys building platforms that engineers love to use.

Responsibilities:
● Maintain and extend our Kubernetes platform
● Improve Performance & Reliability of our production platform
● Ensure proper observability of the production systems
● Assist with database and service performance tuning
● Collaborate with Development Engineers on impacts of new features
● Identify architecture bottlenecks and work with Engineering on new solutions
● Collaborate with Support on operational runbooks

Requirements:
● Minimum 3+ years Kubernetes
● Operating System: Linux 
● GCP Cloud experience is mandatory, good to have multi-cloud experience.
● Terraform 
● Container lifecycle
● Programming Go, Python or similar
● Database optimization
● Network level troubleshooting

Education and Experience:
• At least 6 - 8 years of related experience with a Bachelor’s degree; or 3 years and a Master’s degree; or a PhD with 1 year experience; or equivalent experience preferred. 
• Degree in Computer Science, Engineering, or related field preferred

#LI-KB7

#LI-Hybrid 

#kubernetes

#GCP

Role

We are looking for a Staff Software Development Engineer to join our Shared Platform Services team. This is a hybrid role based in Mohali / Hyderabad/ Bangalore/ , reporting to the Sr. Manager Software Engineering. Our Engineering team built the world's largest cloud security platform from the ground up, and we continue to scale. With more than 100 patents and extensive plans for enhancing services, our multitenant architecture has established us as the cloud security leader for over 15 million users worldwide. We invite you to bring your vision and passion to our team of architects and engineers who are enabling global organizations to harness speed and agility with a cloud-first strategy.

What you’ll do (Role Expectations)

• Lead the end-to-end design and development of large-scale, complex features for the Zscaler Client Connector Cloud Service, driving key technical initiatives from initial concept to final execution.
• Take full accountability for core product functionality, ensuring high performance, scalability, and seamless integration within the cloud ecosystem.
• Partner closely with Product Management, Development, and Cloud Operations teams to align on product vision and ensure a smooth, synchronized release lifecycle.
• Define robust deployment procedures and implement proactive monitoring and alerting systems to ensure the long-term stability and health of new features.
• Champion product excellence by troubleshooting critical customer issues and delivering high-quality, resilient code within a fast-paced, high-velocity environment.

Who You Are (Success Profile)

• You thrive in ambiguity and are comfortable building the path as you walk it, seeing dynamic environments as the raw material to build something meaningful.
• You act like an owner with a passion for the mission and a bias for action, navigating seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver who is energized by finding solutions to the hardest challenges, knowing that solving them delivers the biggest impact.
• You are a learner with a growth mindset who actively seeks feedback to become a better partner and a stronger teammate.
• You are driven by innovation and have a deep curiosity for how things work, always seeking a better, more secure, and scalable way to accelerate transformation.

What We’re Looking for (Minimum Qualifications)

• 5 years of hands-on experience specifically in developing web applications and microservices.
• Deep proficiency in Enterprise Java, Object-Oriented Analysis/Programming (OOA/OOP), and RESTful API architecture.
• Practical experience with RDBMS, specifically being "fluent" in SQL programming and writing Stored Procedures.
• Security Literacy: A solid understanding of Security, Authentication/Authorization, and encryption best practices.
• Experience in application development using Java, REST APIs, MySQL, and JQuery

What Will Make You Stand Out (Preferred Qualifications)

• Bachelor’s degree in Computer Science, Computer Engineering, or a strictly related discipline.
• Advanced troubleshooting and root cause analysis skills using CPU and memory profilers to identify resource exhaustion issues
• Ability to write complex MySQL queries and generate reports based on business requirements

#LI-Hybrid
#LI-VV3

Position Summary:

The Senior Clinical Data Engineer leads the strategic development and optimization of clinical data systems to support regulatory compliance, advanced analytics, and operational excellence across global trials. This role drives enterprise-level data standardization initiatives,  and architects scalable validation frameworks to proactively address systemic data issues. With deep expertise in Python, R, SQL, and SAS, the engineer builds and maintains modular codebases, sets coding standards, and mentors junior engineers. The role also oversees regulatory alignment with GCP and FDA 21 CFR Part 11, establishing robust documentation and audit trail protocols. Through dynamic dashboards and analytics tools, the engineer delivers actionable insights into trial performance and data quality. As a strategic liaison across Biostatistics, Clinical Operations, and Regulatory Affairs, the engineer translates clinical requirements into scalable technical solutions and leads the design of secure, high-performance databases and ETL pipelines integrating data from diverse clinical systems.

Essential functions of the job include but are not limited to:

Data Standardization & Mapping -  Spearhead the development of enterprise-level data mapping strategies that transform raw clinical data into standardized formats for high-impact analytics. Lead the adoption and governance of data standards across programs to ensure regulatory alignment and consistency. 

Data Quality Assurance - Design and implement robust, scalable validation frameworks that proactively detect and resolve systemic data issues. Serve as a strategic partner to Clinical Data Managers and cross-functional teams, driving continuous improvement in data integrity across global trials

Programming & Scripting - Architect and maintain advanced, modular codebases using Python, R, SQL, and SAS to support complex data engineering workflows. Establish coding standards and mentor junior engineers in automation, reproducibility, and performance optimization. Example use cases includes edit checks, reconciliations, exception listings, programmed protocol deviations, resource projections based on site data entry volume

Regulatory Compliance & Documentation - Lead compliance initiatives to ensure all data systems and workflows meet GCP, FDA 21 CFR Part 11, and evolving global regulatory requirements. Define documentation protocols and oversee audit trail governance to support inspection readiness and transparency

Reporting & Visualization - Develop and operationalize dynamic dashboards and analytics tools that provide real-time insights into data quality, trial progress, and operational KPIs. Translate complex datasets into actionable intelligence for clinical and regulatory stakeholders.

Collaboration & Cross-Functional Support - Act as a strategic liaison between Clinical Data Engineering and Biostatistics, Clinical Operations, and Regulatory Affairs. Translate clinical and scientific requirements into scalable technical solutions that support study execution and data delivery.

Database Design & Optimization - Lead the design and optimization of secure, high-performance relational databases and data lakes. Ensure infrastructure scalability, query efficiency, and data governance for large-scale clinical datasets

Qualifications: 

• Bachelor’s Degree in a relevant field (life sciences, statistics, data management, clinical operations) or relevant/equivalent combination of education, training, and experience
• Minimum 6 years experience in clinical monitoring, clinical trial management  or equivalent
• Advanced programming and automation skills; database design; dashboard development; CDISC governance.

Other Required:

• Highly effective oral and written communication skills with the ability to communicate effectively with project team members
• Excellent organizational and time management skills
• Ability to work in a team or independently as required
• Demonstrated ability to learn how to extract pertinent information from protocols, electronic study data systems and clinical systems
• Proficiency in statistical analysis and data monitoring tools.
• Detail-oriented with strong analytical and problem-solving skills
• Demonstrated experience with integrated risk planning & management
• Ability to mentor junior team members

Preferred:

• CRO experience as a Clinical Data Engineer or Programmer

Skills:

• Strong analytical and problem-solving skills with attention to data quality and integrity.
• Ability to work with large, complex datasets from multiple sources.
• Effective communication skills to collaborate with cross-functional teams.
• Knowledge of data governance, privacy, and security best practices in clinical research.

Competencies

• Collaboration: Works effectively with clinical, statistical, and technical teams to align data strategies with study goals.
• Accountability: Takes ownership of data engineering deliverables and ensures timely, high-quality outputs.
• Adaptability: Thrives in a fast-paced, evolving environment with shifting priorities and timelines.
• Compliance-Oriented: Maintains a strong focus on regulatory compliance and data traceability.

Position Summary:

The Senior Clinical Data Engineer leads the strategic development and optimization of clinical data systems to support regulatory compliance, advanced analytics, and operational excellence across global trials. This role drives enterprise-level data standardization initiatives,  and architects scalable validation frameworks to proactively address systemic data issues. With deep expertise in Python, R, SQL, and SAS, the engineer builds and maintains modular codebases, sets coding standards, and mentors junior engineers. The role also oversees regulatory alignment with GCP and FDA 21 CFR Part 11, establishing robust documentation and audit trail protocols. Through dynamic dashboards and analytics tools, the engineer delivers actionable insights into trial performance and data quality. As a strategic liaison across Biostatistics, Clinical Operations, and Regulatory Affairs, the engineer translates clinical requirements into scalable technical solutions and leads the design of secure, high-performance databases and ETL pipelines integrating data from diverse clinical systems.

Essential functions of the job include but are not limited to:

Data Standardization & Mapping -  Spearhead the development of enterprise-level data mapping strategies that transform raw clinical data into standardized formats for high-impact analytics. Lead the adoption and governance of data standards across programs to ensure regulatory alignment and consistency. 

Data Quality Assurance - Design and implement robust, scalable validation frameworks that proactively detect and resolve systemic data issues. Serve as a strategic partner to Clinical Data Managers and cross-functional teams, driving continuous improvement in data integrity across global trials

Programming & Scripting - Architect and maintain advanced, modular codebases using Python, R, SQL, and SAS to support complex data engineering workflows. Establish coding standards and mentor junior engineers in automation, reproducibility, and performance optimization. Example use cases includes edit checks, reconciliations, exception listings, programmed protocol deviations, resource projections based on site data entry volume

Regulatory Compliance & Documentation - Lead compliance initiatives to ensure all data systems and workflows meet GCP, FDA 21 CFR Part 11, and evolving global regulatory requirements. Define documentation protocols and oversee audit trail governance to support inspection readiness and transparency

Reporting & Visualization - Develop and operationalize dynamic dashboards and analytics tools that provide real-time insights into data quality, trial progress, and operational KPIs. Translate complex datasets into actionable intelligence for clinical and regulatory stakeholders.

Collaboration & Cross-Functional Support - Act as a strategic liaison between Clinical Data Engineering and Biostatistics, Clinical Operations, and Regulatory Affairs. Translate clinical and scientific requirements into scalable technical solutions that support study execution and data delivery.

Database Design & Optimization - Lead the design and optimization of secure, high-performance relational databases and data lakes. Ensure infrastructure scalability, query efficiency, and data governance for large-scale clinical datasets

Qualifications: 

• Bachelor’s Degree in a relevant field (life sciences, statistics, data management, clinical operations) or relevant/equivalent combination of education, training, and experience
• Minimum 6 years experience in clinical monitoring, clinical trial management  or equivalent
• Advanced programming and automation skills; database design; dashboard development; CDISC governance.

Other Required:

• Highly effective oral and written communication skills with the ability to communicate effectively with project team members
• Excellent organizational and time management skills
• Ability to work in a team or independently as required
• Demonstrated ability to learn how to extract pertinent information from protocols, electronic study data systems and clinical systems
• Proficiency in statistical analysis and data monitoring tools.
• Detail-oriented with strong analytical and problem-solving skills
• Demonstrated experience with integrated risk planning & management
• Ability to mentor junior team members

Preferred:

• CRO experience as a Clinical Data Engineer or Programmer

Skills:

• Strong analytical and problem-solving skills with attention to data quality and integrity.
• Ability to work with large, complex datasets from multiple sources.
• Effective communication skills to collaborate with cross-functional teams.
• Knowledge of data governance, privacy, and security best practices in clinical research.

Competencies

• Collaboration: Works effectively with clinical, statistical, and technical teams to align data strategies with study goals.
• Accountability: Takes ownership of data engineering deliverables and ensures timely, high-quality outputs.
• Adaptability: Thrives in a fast-paced, evolving environment with shifting priorities and timelines.
• Compliance-Oriented: Maintains a strong focus on regulatory compliance and data traceability.

We’re seeking a Senior Application Security Engineer to help strengthen Zeta’s application and platform security posture. You’ll play a critical role in embedding security throughout the software development lifecycle, ensuring our systems, applications, and AI-driven platforms are built securely from the ground up.

Zeta operates at massive scale, powering billions of consumer profiles and petabytes of data across real-time, AI-powered marketing platforms. In this role, you’ll collaborate with engineering and product teams to identify risks, implement secure design principles, and build automated controls that enable secure innovation.

This position offers significant technical scope, cross-functional visibility, and opportunities to contribute directly to the company’s overall security maturity.

Key Responsibilities:

Threat Modeling & Security Validation

• Conduct threat modeling and security reviews for distributed cloud-native systems.
• Perform security code reviews, static/dynamic analysis (SAST/DAST), and dependency scanning.
• Participate in incident response exercises and red/blue team simulations.
• Assess third-party libraries, APIs, and vendor integrations for security compliance.

Embedding Security into the SDLC

• Partner with developers and QA engineers to embed security testing into CI/CD pipelines.
• Review architecture and design documents to identify and mitigate risks early.
• Contribute to security automation initiatives and tooling to improve developer velocity.
• Support security checkpoints in release and deployment processes.

Emerging Threat Monitoring & Proactive Defense

• Stay current on evolving security risks, frameworks, and attack vectors, including AI/ML-specific threats (e.g., prompt injection, model poisoning).
• Assist in designing and deploying proactive defense mechanisms across applications and data platforms.
• Support investigations and post-incident reviews to strengthen detection and prevention capabilities.

Security Awareness & Policy Implementation

• Advocate secure coding and best practices through code reviews, workshops, and documentation.
• Contribute to internal security standards and playbooks.
• Collaborate closely with Engineering, DevOps, and Product teams to foster a security-first culture.

What You Need to Succeed

• Bachelor’s degree in computer science, Cybersecurity, or related field, or equivalent experience.
• 2 - 4 years of experience in Application Security, DevSecOps, or Secure Software Development.
• Strong understanding of OWASP Top 10, SANS CWE Top 25, and general application threat modeling.
• Experience with frameworks and architectures such as React, Node.js, Django, or FastAPI.
• Knowledge of securing APIs, microservices, and authentication mechanisms (OAuth2, OIDC, JWT).
• Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
• Working knowledge of security testing tools (e.g., Semgrep, SonarQube, Burp Suite, Zap, Trivy).
• Solid collaboration and communication skills with cross-functional teams.

Nice to Have

• Familiarity with AI/ML security concepts such as data poisoning, adversarial testing, and model integrity.
• Experience with automation frameworks and scripting for security testing.
• Relevant certifications (e.g., OSCP, GWAPT, CSSLP, or ML/AI-specific security certifications)

WHO WE ARE

Zeta Global is a NYSE listed data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry’s 3rd largest proprietary data set (2.4B+ identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth.

Our technology runs on the Zeta Marketing Platform, which powers ‘end to end’ marketing programs for some of the world’s leading brands. With expertise encompassing all digital marketing channels – Email, Display, Social, Search and Mobile – Zeta orchestrates acquisition and engagement programs that deliver results that are scalable, repeatable and sustainable.

Zeta Global is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, gender, ancestry, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 

Why this role matters:

As a Software Development Engineer in Test (SDET III), you will be a key quality advocate for the Vonage platform, ensuring quality, testability, and security across the full software development lifecycle. You will bridge engineering and quality by building robust automation frameworks that support everything from early development to global, high-traffic production systems.

Your work directly impacts the reliability and scalability of mission-critical conversational commerce and messaging platforms.

Your key responsibilities:

• Design, build, and maintain automated test frameworks, test suites, and scripts integrated into CI/CD pipelines.
• Work as an active member of Agile teams, partnering closely with Product and Engineering to define testing requirements and plans.
• Participate in design and architecture reviews with a focus on test automation, performance, and scalability.
• Test complex routing, decision engines, and event-driven workflows for distributed, multi-tier systems.
• Implement shift-left testing by collaborating with developers on unit coverage and early defect prevention.
• Use observability tools to identify root causes of failures and monitor test reliability trends.
• Embed AI assisted engineering into daily practice to accelerate delivery and enhance outcomes
• Proactively adopt emerging AI capabilities to improve workflows and shares best practices with the team

What you'll bring

• 5+ years of experience in software test automation for complex systems.
• Proven experience designing and building test automation frameworks and CI-integrated test suites.
• Must have experience using Playwright Framework
• Good knowledge of using Typescript
• Strong programming skills in Python
• Experience testing distributed, event-driven architectures (Pub/Sub, Cloud Tasks, Kafka).
• Hands-on experience with cloud platforms (GCP or AWS), including containerized and serverless services.
• Experience testing REST APIs, asynchronous workflows, and multi-tier applications.
• Strong analytical, troubleshooting, and collaboration skills in fast-paced environments.

Experience we consider a plus:

• Experience with CI/CD tools (GitHub Actions, Jenkins, GCP Cloud Build).
• Exposure to commerce systems, payments, or transaction workflows.
• Experience with performance, load, and scalability testing for high-traffic systems.
• Familiarity with contract testing (Pact), Kafka, API security, or SSO standards (SAML, OIDC).

How you’ll benefit:

• Attractive Discretionary Time Off
• Private Medical Insurance with optional dependent coverage
• Educational Assistance Reimbursement Program
• Opportunities for reimbursement for conferences, trainings, and other personal development events
• Maternity and Paternity Leave
• Ask recruiter for country specific information
• Additional benefits and perks will be shared and discussed with you by the recruiter during the interview process. 

#LI-JB1

Responsibilities

• Be part of a trading systems engineering team, dedicated to building out the core trading platforms.
• Work closely with cross functional teams to improve the system reliability, scalability and security.
• Engage in and improve the quality supporting the platform.
• Build and manage systems, infrastructure and applications through automation.
• Provide operational support to internal teams working on the platform.
• Work on improvements to bring in high efficiency, reduce latency, deploy systems faster.
• Practice sustainable incident response and blameless postmortems.
• Together with your engineering team, you will share an on-call rotation and be an escalation contact for service incidents.
• Implement and maintain rigorous security best practices across all infrastructure, with a focus on minimizing attack surface and ensuring data integrity.
• Monitor system health and performance with a keen eye for identifying and resolving issues before they affect trading activity.
• Manage user queries and service requests (often requiring in depth analysis of the technical and/or business logic of our systems).
• Proactive approach to problem analysis and resolution of production incidents.
• Manage Issue tracking and prioritisation of day to day production incidents.
• Manage platform trading support initiatives (e.g. platform monitoring, reporting, release automation).

 Minimum Qualification

• Bachelors with 5+ years of working experience as Site Reliability Engineering (SRE) / Devops Engineer
• Strong knowledge of Linux system internals (kernels, memory management, file systems & network I/O optimization) as well as bash scripting.
• Minimum 3-5 years experience in a Front Office Trading Floor or related application support experience.
• Need to be available to work in US (Night) Shift
• Good product knowledge in financial instruments including experience in managing front to back trading lifecycle and familiar with order life cycle (Equities, FX, Crypto etc).
• Experience with electronic trading platforms and OMS/EMS systems.
• Knowledge of ITIL practices including Incident, Problem and Change management.
• Experience with system monitoring platforms.
• Proven expertise optimizing systems for lowest latency performance and productionizing trading systems, from initial concept to full deployment, including on-prem and colocation.
• Strong working knowledge of network communications fundamentals TCP/IP and UDP
• Knowledge of FIX protocol, as well as familiarity with low latency multicast with Aeron.
• Strong skills around observability, debugging and performance tuning, with a willingness to dive-deep to determine the root cause, 
• Effective communicator, with the ability to explain root causes in plain language, then outline plans and recommendations to remediate and ultimately to execute plans that systematically resolve issues.
• Demonstrated ability to build tools that enable rapid operational triage; leveraging logs, performance telemetry metrics and traces to make Grafana dashboards (or similar) 
• Strong experience deploying and managing Cloud infrastructure with providers like AWS, Azure and/or GCP (accounts, profiles, IAM roles, Policies, service classes, instance types, etc.)
• Strong experience adapting workloads to use Cloud Native technologies, like kubernetes and docker etc. (Dockerfile, docker-compose, helm charts, deploy manifest, ingress wiring, service mesh, etc.)
• Expertise using devops deployment tooling, like Github Actions, Jenkins, ArgoCD and Ansible.
• Hands-on experience developing in one or more programming languages: C, C++, Java, Python, or Go.
• Proficient in utilizing C++ build systems such as CMake and building CI/CD pipelines for trading systems.
• Working knowledge of key backing services like mysql, PostgresDB, Redis, MongoDB, DynamoDB, Kafka, RabbitMQ, etc.

 Key attributes critical to success:

• Strong interpersonal skills and the ability to communicate confidently and clearly with internal teams and external counterparts..
• Ability to analyse complex scenarios from both a technical and business perspective and deliver solutions.
• A sense of urgency, and an ability to deliver to deadlines in an environment where multiple competing requirements are a part of the job.
• Proactivity and a strong ownership ethos, ensuring that queries are resolved through to completion.
• Desire and ability to deliver improvements to the platform.

Preferred Qualification

• Extensive experience with DevOps for Deployment automation and App level support, as well as SRE and/or Linux systems Administrator for systems and infrastructure level support.
• Extensive experience in a Low Latency Electronic trading environment, where high performance is critical at all stages of the infrastructure, network and application design and implementation.
• Expertise in developing advanced observability capabilities (USE-RED signals, Tracing, front end observability etc) 

Bonus Points:

• Experience with hardware acceleration technologies (FPGAs, GPUs, LPU, TPU).
• Experience with financial data security regulations (PCI DSS, SOC 2).
• Familiarity with algorithmic trading strategies and quantitative analysis concepts.

About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. 

Key Responsibilities: 

• Design, develop, and optimize enterprise ETL/ELT pipelines utilizing Azure Data Factory, Azure Data Lake Storage, and advanced serverless technologies—ensuring cross-platform scalability, security, and reliability. 

• Architect and implement highly efficient, complex SQL solutions—including advanced query optimization, partitioning, and indexing—to power sophisticated analytics models and enable real-time data processing. 

• Lead the development and integration of robust automation frameworks using Python, and API orchestration, introducing innovative solutions to streamline the entire data lifecycle and maximize operational efficiency. 

• Exercise full ownership of production pipeline reliability; proactively identify and resolve critical issues through deep root-cause analysis, and institute resilient, long-term stability measures for continuous uptime. 

• Establish, refine, and enforce rigorous coding and architectural standards through comprehensive code reviews and technical audits, setting quality benchmarks for the offshore engineering team. 

• Serve as a liaison with onshore leadership, driving strategic backlog prioritization, release management, and complex cross-regional project coordination to align with organizational objectives. 

• Champion best-in-class documentation, data lineage, and automated CI/CD deployment practices, ensuring transparency, auditability, and governance across all data assets. 

• Assist with enterprise capacity planning, resource optimization, and architectural design of innovative data solutions tailored to evolving business requirements. 

• Demonstrate expert-level support for analytics and media teams, translating business challenges into scalable, high-performance technical solutions, leveraging deep Azure and SQL expertise. 

Senior-Level Expectations: 

• Act as the organization’s subject matter expert (SME) in end-to-end pipeline architecture, orchestration frameworks, schema evolution, and advanced Azure Data Factory strategies. 

• Mentor and develop junior and mid-level engineers through structured coaching, technical workshops, and ongoing knowledge transfer, cultivating a high-performance engineering culture. 

• Lead modernization initiatives across the organization, championing the adoption of technologies such as Databricks, DBT and advanced DevOps practices to future-proof the data platform and enable rapid innovation. 

• Ensure strict adherence to SLAs and regulatory compliance through advanced monitoring, proactive risk mitigation, and continuous improvement of operational processes. 

Required Skills 

• 5-6years of progressive experience in data engineering, with expert-level mastery of Azure Data Factory, SQL, and cloud data platforms (Azure and/or GCP). 
• Provenexpertisein designing, optimizing, and managing large-scale, production-grade data pipelines, including deep skills in SQL performance tuning, ADF orchestration, and CI/CD automation. 
• Advanced knowledge of production operations, troubleshooting, and high-availability data processing at scale.

Good to Have 

• Adverity
• Dataflow
• Big Query
• Databricks
• DBT
• Terraform
• Wrike/Jira/Azure DevOps
• DP‑203 / GCP Data Engineer certifications

Life at WPP Media & Benefits 

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.   

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

#LI-GOC

As a Senior Software Development in Test Engineer, you will be tasked with full responsibility for the design, implementation, and maintenance of Automated tests using object-oriented frameworks and AI. We're looking for a new team member who is versatile and knows exactly how to improve processes and make them more efficient to make sure we have a winning product. The ideal candidate has a strong technical background in software automation development, sees the big picture and has the “can do” attitude. Primary responsibilities include:

What Will You Do?

Primary responsibilities include:

• Design, develop (Python//TypeScript) and implement automation tests in all components of SentinelOne products with main focus on our SAAS platform and its EndPoint Protection services
• Testing the quality of SentinelOne EPP/EDR solutions
• Triage and automate the triaging of test execution results
• Ensure coverage on critical components and close any test gaps that have been identified
• Work closely with other automation engineers, developers and product managers to ensure high quality products

What Skills and Knowledge Will You Bring?

Ideal candidates will have:

• Proven experience in automation development testing multi-layered products 
• Previous experience in testing SAAS products (cloud based) 
• Experience with Python using Pytest framework
• Experience with Dockers
• Ability to reproduce issues and work closely with development to resolve them
• Debugging skills and ability to investigate and triage difficult problems
• Experience in SW validation methodologies and concepts, testing and integration
• Strong self-management capabilities: proactive, initiative, self-learner, team player

Why SentinelOne?

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:

• Flexible working hours and hybrid/remote work model.
• Flexible Time Off.
• Flexible Paid Sick Days.
• Global gender-neutral Parental Leave (16 weeks, beyond the leave provided by the local laws) 
• Generous employee stock plan in the form of RSUs (restricted stock units)
• On top of RSUs, you can benefit from our attractive ESPP (employee stock purchase plan)
• Gym membership/sports gears by Cultfit.
• Wellness Coach app, with 3,000+ on-demand sessions, daily interactive classes, audiobooks, and unlimited private coaching. 
• Private medical insurance plan for you and your family.
• Life Insurance covered by S1 (for employees)
• Telemedical app consultation (Practo)
• Global Employee Assistance Program (confidential counseling related to both personal and work life matters)
• High-end MacBook or Windows laptop.
• Home-office-setup allowances (one time) and maintenance allowance. 
• Internet allowances.
• Provident Fund and Gratuity (as per govt clause)
• NPS contribution (Employee contribution)
• Half yearly bonus program depending on the individual and company performance.
• Above standard referral bonus as per policy.

As a Software Development in Test Engineer, you will be tasked with full responsibility for the design, implementation, and maintenance of Automated tests using object-oriented frameworks and AI. We're looking for a new team member who is versatile and knows exactly how to improve processes and make them more efficient to make sure we have a winning product. The ideal candidate has a strong technical background in software automation development, sees the big picture and has the “can do” attitude.

What Will You Do?

Primary responsibilities include:

• Design, develop (Python//TypeScript) and implement automation tests in all components of SentinelOne products with main focus on our SAAS platform and its EndPoint Protection services
• Testing the quality of SentinelOne EPP/EDR solutions
• Triage and automate the triaging of test execution results
• Ensure coverage on critical components and close any test gaps that have been identified
• Work closely with other automation engineers, developers and product managers to ensure high quality products

What Skills and Knowledge Will You Bring?

Ideal candidates will have:

• Proven experience in automation development testing multi-layered products 
• Previous experience in testing SAAS products (cloud based) 
• Experience with Python using Pytest framework
• Experience with Dockers
• Ability to reproduce issues and work closely with development to resolve them
• Debugging skills and ability to investigate and triage difficult problems
• Experience in SW validation methodologies and concepts, testing and integration
• Strong self-management capabilities: proactive, initiative, self-learner, team player

Why SentinelOne?

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:

• Flexible working hours and hybrid/remote work model.
• Flexible Time Off.
• Flexible Paid Sick Days.
• Global gender-neutral Parental Leave (16 weeks, beyond the leave provided by the local laws) 
• Generous employee stock plan in the form of RSUs (restricted stock units)
• On top of RSUs, you can benefit from our attractive ESPP (employee stock purchase plan)
• Gym membership/sports gears by Cultfit.
• Wellness Coach app, with 3,000+ on-demand sessions, daily interactive classes, audiobooks, and unlimited private coaching. 
• Private medical insurance plan for you and your family.
• Life Insurance covered by S1 (for employees)
• Telemedical app consultation (Practo)
• Global Employee Assistance Program (confidential counseling related to both personal and work life matters)
• High-end MacBook or Windows laptop.
• Home-office-setup allowances (one time) and maintenance allowance. 
• Internet allowances.
• Provident Fund and Gratuity (as per govt clause)
• NPS contribution (Employee contribution)
• Half yearly bonus program depending on the individual and company performance.
• Above standard referral bonus as per policy.

Location: This is a hybrid position based out of Bangalore, India, 2-3 days per week

The Armis Deployment Engineer is a full-time role dedicated to rapidly deploying the Armis platform for our customers. This position is instrumental in accelerating the time to value by collaborating closely with the Customer Success team to plan, deploy, and operationalise the Armis platform.

The deployment engineer will ensure the implementation and configuration of all aspects of the platform, including reporting, dashboards, policies, and overall system setup, to deliver maximum product value. Additionally, the role involves providing expert support, in-depth analysis, and research to tackle complex issues related to deploying sophisticated cybersecurity infrastructures. 

This is a highly technical, hands-on role that requires maintaining a high level of proficiency with Armis products and solutions within customer networks.

The Armis Deployment Engineer will be responsible for full platform deployment, including, but not limited, to the following activities: 

What you will do:

• Interact across Success/Sales teams and development teams at the peer level as part of the customer onboarding process.
• Expedite the deployment process of the Armis platform, ensuring timely delivery and customer satisfaction.
• Collaborate with the Customer Success team to create and execute deployment plans tailored to each client's unique needs.
• Provide expert support, in-depth analysis, and research to address complex issues related to deploying sophisticated cybersecurity infrastructures.
• Maintain a high level of technical proficiency and hands-on expertise with the Armis products and solutions deployed within the customer’s network.
• Work in collaboration with the Armis success team to refine and translate complex requirements and execute best practice solutions.
• Conduct site surveys and assessments to determine the best placement and setup for collection devices.
• Plan and execute the onsite and/or remote deployment of Armis collectors at various client locations.
• Ensure the customer deployments and configurations align with business use cases as defined by the Success team and drive Armis adoption and implementation plans
• Conduct system assessments and compatibility checks to ensure successful integration with existing client infrastructures.
• Provide on-site and remote technical support during deployment, addressing any issues that arise promptly and effectively.
• Develop and maintain comprehensive deployment documentation, including configuration guides, troubleshooting manuals, and user guides.
• Train clients' technical staff on the operation and maintenance of integrated systems.

What we expect:

• 3+ years experience as full-time Deployment Engineer highly preferred or as a Professional Services Engineer, Consultant, or IT/Operations Engineering
• 5+ years experience in a combination of the following; designing, deploying, configuring, supporting, troubleshooting, debugging and coordinating Unified Communications products, devices, solutions, and technologies for small, medium, large and/or enterprise businesses
• 3+ years experience working in Security/IT/Healthcare/ICT/Commercial sectors

• Experience analyzing, use and configuring medium to enterprise networks.
• Ability to work effectively in an interrupt-driven environment and provide mentorship to other members of the work group.
• Excellent communication and interpersonal skills, with the ability to work effectively with clients and cross-functional teams.
• Strong analytical and problem-solving skills, with attention to detail.
• Ability to work independently and manage multiple deployment projects simultaneously.
• Willingness to travel to client sites as needed (up to 60%)

Technical Skills

• B.S in IT, IS, CS, MIS, (or equivalent degree) and/or relevant industry qualifications (CISSP, Security +,CEH) desired
• Familiarity/Experience in Cyber Security i.e Endpoint, SOAR, SIEM
• Linux Operating System basic operation and troubleshooting (i.e. Redhat Linux /  CentOS)
• Networking (LAN/WAN, Routing/Switching protocols, Network Security)

We know there is a lot to consider when applying for a new job, and quite often job descriptions provide a lot of detail for candidates… but here at Armis, we strongly encourage you to try to avoid the ​​confidence gap​.​​ We don’t expect you to meet each of the listed requirements perfectly to be considered for any of our roles.

About the role:

We are looking for a highly skilled Senior Systems Administrator with deep expertise in collaboration and productivity platforms. This role is all about technical depth and ownership — architecting reliable systems, solving the toughest problems, digging into logs, writing automation, and owning the stability and performance of Slack, Google Workspace, Zoom, Jira, and Office 365. You'll serve as a senior technical authority and escalation point, a trusted partner who thrives on solving what others can't, and an engineer who designs smarter, scalable ways to keep systems running seamlessly to drive employee productivity across the organization.

What You'll do: 

• Serve as the final escalation point for complex incidents/requests across Slack, GSuite (Google Workspace), Zoom, ProofPoint, Jira, and Office 365.
• Lead deep technical troubleshooting at the application, integration, and infrastructure layers — including API calls, logs, and network dependencies.
• Configure, optimize, and maintain these platforms for performance, security, and scalability.
• Write and maintain automation scripts (PowerShell, Python, or similar) for repetitive tasks, reporting, and integrations.
• Diagnose and resolve authentication/SSO/MFA issues (Mainly Okta, some Microsoft AD).
• Analyze system and application logs to pinpoint root causes and prevent recurrence.
• Build and maintain integrations between enterprise tools (e.g., Slack bots, Jira workflows, Zoom add-ons, Office 365 connectors), ensuring reliability and security.
• Drive and/or otherwise assist with SaaS application deployments, upgrades, and migrations.
• Manage vendor relationships, driving accountability on critical issues and providing feedback to influence product roadmaps where appropriate.
• Document troubleshooting processes, scripts, and technical solutions for knowledge sharing.

What you bring:

• 8+ years of progressive experience in systems engineering, SaaS administration, or platform engineering, with a demonstrated track record of senior-level technical ownership.

Expert-level experience with Slack admin console, GSuite (Google Workspace), Zoom admin portal, Jira administration, ProofPoint, and Office 365 tenant management.Strong expertise in identity and access management, including SSO integrations, MFA, and directory services (Okta).Advanced scripting and automation skills in PowerShell, Python, or comparable languages, with experience building reusable tools and integrations.Proven ability to debug APIs and integrations between enterprise SaaS platforms.Fluency with log analysis platforms, monitoring dashboards, and observability tooling.Strong analytical and troubleshooting mindset — proven track record of resolving “unsolvable” issues.
Very strong ‘can-do’ attitude with a strong desire to partner with the Engineering and Security teams that we work with every day. 

Nice to have:

• Experience in a SaaS, startup, or high-growth tech environment.
• Familiarity with device management platforms (Intune, Jamf).
• Knowledge of security/compliance frameworks (SOC2, ISO27001, HIPAA).
• Experience with automation and/or AI platforms.

#LI-SG2

#LI-Hybrid

THE ROLE

Join our core infrastructure team to design, implement, and maintain the mission-critical foundational systems that power our global operations, with a focus on Cisco UCS and VMware technologies. You will be instrumental in scaling our high-performance converged infrastructure, ensuring reliability, security, and peak operational efficiency. This role requires deep technical expertise and collaboration with cross-functional IT groups to deliver complex, impactful projects that directly support our organizational growth.

WHAT YOU'LL DO

• Elevate Infrastructure Stability: Design, deploy, and manage our Cisco UCS infrastructure (blade/rack servers, Fabric Interconnects, Intersight/UCS Manager) and the localized VMware vSphere environment (vCenter, ESXi) to ensure highly available, performant systems across the organization.

• Drive Automation and Efficiency: Develop and maintain robust automation tools using languages like PowerCLI and Python to streamline complex provisioning, monitoring, and management tasks, significantly reducing manual effort and improving deployment speed.

• Optimize System Performance: Troubleshoot, diagnose, and resolve complex production issues within the converged infrastructure environment, including participation in the on-call rotation, to maintain system integrity and minimize downtime.

• Influence Architectural Decisions: Partner with networking, storage (including Everpure, iSCSI, and Fibre Channel), and security teams to seamlessly integrate new technologies and establish comprehensive documentation and security best practices for all implemented systems.

WHAT YOU BRING

4+ years of experience in Automation and Scripting and from Converged Infrastructure background.

Expertise in Converged Infrastructure: Proven, deep technical skill in managing, configuring, and troubleshooting Cisco UCS architecture and all components of a VMware vSphere environment (vCenter, ESXi, vMotion).

Automation and Scripting Proficiency: The ability to write and implement practical automation scripts (e.g., in PowerCLI or Python) to solve operational challenges and improve infrastructure workflow efficiency.

Systems Troubleshooting Acumen: Advanced, practical skills in diagnosing and resolving intricate, time-sensitive issues within virtualized and converged production environments, often under pressure.

Architectural and Security Mindset: A strong understanding of core networking (VLANs, routing) and storage concepts, coupled with the ability to implement and enforce essential security best practices within the virtualized system.

Accountability and Ownership: A history of successfully managing key infrastructure areas autonomously, delivering high-quality results, and effectively collaborating with technical partners.

We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Pure’s policies, unless you are on PTO, or work travel, or other approved leave.

Role

We are looking for an Escalation Engineer to join our team in a hybrid capacity based in Bangalore, reporting to the Sr. Manager, Customer Support. The Escalation Engineer will provide world-class post-sales technical support to internal Level I & Level II Support Engineers, as well as provide direct support to customers and partners on escalated issues, as part of an escalation team. The Escalation Engineer will also work directly with Operations and Engineering on opening bugs and requests with all required diagnostic information.  

What you’ll do (Role Expectations)

• Engage with customers on escalated support issues or critical customer situations and participate in a 24x7 Support Operation and 24x7 on-call rotation
• Interface with Engineering and assist the customer with testing or troubleshooting
• Reproduce customer issues to verify problems and provide feedback to Engineering and Operations teams
• Create entries in our technical support online database to accurately document any incident resolution that is not found in our knowledge base
• Understand the product direction and customer use-cases and provide input on product and code changes through all points of the product cycle

Who You Are (Success Profile)

• You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are customer-obsessed. You build deep empathy for the customer—both internal and external—and anchor your decisions in solving their real-world problems. You champion their needs from start to finish, knowing their success is our success.
• You operate with urgency. You understand that in a high-growth environment, speed and quality are not mutually exclusive. You have a relentless focus on execution and a bias for action, delivering high-impact results quickly to win for the customer and the team.

What We’re Looking for (Minimum Qualifications)

• 8+ years of experience as a Support Engineer or Senior Support Engineer supporting networking or web security products
• Practical knowledge of networking and security products and enterprise network infrastructure
• Experience troubleshooting network issues and familiarity with necessary tools such as Ping, Traceroute, and MTR
• Hands-on experience with SD-WAN, Routing protocols (BGP, OSPF), Firewall, Switching, SSL, SWG, VPN, and VDN
• Working knowledge and hands-on experience with Ubuntu and Python

What Will Make You Stand Out (Preferred Qualifications)

• Demonstrated experience with Zscaler products (ZIA, ZPA, ZDX) or similar cloud security platforms, including TLS/SSL inspection and authentication flows
• Proficiency in scripting for automation, efficient troubleshooting, and reproducing complex customer environments

#LI-Hybrid 

#LI-NT1

THE ROLE

Join a high-impact team of innovators dedicated to architecting the cyber-resilience solutions that protect the world’s most critical data. As a Senior Solutions Engineer, you will bridge the gap between Everpure's cutting-edge technology and our global ecosystem of data protection partners to build integrated, fail-safe infrastructures. You will act as a technical lighthouse, collaborating across Product Management and Engineering to transform complex hybrid-cloud challenges into validated, market-ready solutions that empower our customers to recover from anything.

WHAT YOU’LL DO

• Architect & Validate Cyber-Resilience Frameworks: Design and execute comprehensive test methodologies to validate Everpure’s integration with partners like Veeam, Commvault, and Rubrik, ensuring our solutions meet the highest standards of performance and reliability.

• Engineer Hybrid-Cloud Infrastructure: Build and maintain sophisticated, automated lab environments spanning on-premise and public cloud (AWS/Azure) to simulate real-world recovery scenarios and "proof of concept" demonstrations.

• Drive Technical Enablement & Thought Leadership: Author high-visibility technical collateral, including Reference Architectures, white papers, and deep-dive blogs that translate complex I/O protocols and data workflows into actionable business value for global field teams.

• Lead Cross-Functional Solution Launches: Partner with Product Management and Marketing to define the cyber-solutions roadmap, ensuring technical engineering efforts align perfectly with go-to-market strategies and evolving customer security needs.

• Optimize Performance Ecosystems: Diagnose and tune I/O pathways across block, file, and object storage protocols to maximize throughput and efficiency within enterprise-scale data protection workflows.

WHAT YOU BRING

• Deep Data Protection Expertise: You possess mastery in deploying and managing enterprise-grade data protection platforms (such as Veeam, Commvault, or Rubrik) and a thorough understanding of snapshot, replication, and air-gapped recovery technologies.

• Full-Stack Infrastructure Fluency: You have a holistic command of the modern data center, including expert-level knowledge of Linux, virtualization (VMware/Nutanix), and container orchestration (Kubernetes/OpenShift) within hybrid cloud environments.

• Automation & Diagnostic Skills: You are proficient in scripting and infrastructure-as-code (Python, Bash, Ansible, or Terraform) to automate complex environments and possess the analytical rigor to troubleshoot intricate performance bottlenecks.

• Technical Communication Excellence: You have a proven ability to distill deep technical validation results into professional documentation and executive-level presentations that influence both engineers and decision-makers.

Location: We are primarily an in-office environment and therefore, you will be expected to work from the {{OFFICE_LOCATION}} office in compliance with Everpure’s policies, unless you are on PTO, or work travel, or other approved leave.

THE ROLE

Everpure (formerly Pure Storage) is a leader in modern data storage, providing enterprise data cloud solutions that power mission‑critical workloads globally. As part of the Digital Transformation organization focused on the G&A domain, you will use your software engineering and integration expertise to design, build, and operate production‑grade integration and automation solutions on top of large‑scale enterprise platforms.

You will work closely with engineers, internal services technology teams, and business stakeholders to identify high‑impact opportunities and deliver robust, secure, and maintainable integration capabilities. This is a high‑visibility role that will shape the future employee experience at Everpure.

WHAT YOU'LL DO

• Design, build, and maintain Workday integrations using Workday Studio, Cloud Connect (CCW/CCB), EIBs, and RaaS.
• Design, build, and maintain integrations across HR, Legal, and other internal service platforms (including Workday, ServiceNow, ERPs, payroll/benefits vendors, finance systems, identity management, and case management tools) leveraging REST/SOAP APIs, OAuth, and JSON.
• Own the integration lifecycle end to end: gather and refine requirements, design technical solutions, develop and deploy integrations, configure appropriate Workday security, and provide ongoing support for inbound and outbound integrations.
• Ensure integration reliability, performance, and data quality by proactively monitoring jobs, troubleshooting failures, resolving data discrepancies, and optimizing integration patterns, reports, and complex calculated fields.
• Maintain strong controls and documentation by creating clear technical specifications, process flows, test scripts, and runbooks, and by supporting SOX, audit, and GDPR‑related evidence requests.
• Partner with cross‑functional stakeholders and stay current on platform capabilities to identify integration‑driven process improvements and to effectively leverage new Workday and other platform features.

We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field, or equivalent practical experience.
• 5+ years of hands‑on experience designing, building, and supporting integrations for SaaS or other enterprise platforms (functional and/or technical).
• Experience working in and driving an agile delivery process to manage work, iterate quickly, and deliver measurable customer outcomes.
• Technical acumen in SQL, JSON, and secure server‑to‑server API integrations (REST/SOAP, OAuth); scripting or coding experience strongly preferred.
• Proficiency in at least one programming language (e.g., Python, Java, Go) to automate integration workflows, tooling, and quality checks; solid understanding of core software engineering concepts.
• Hands‑on experience with enterprise platforms such as Workday, ServiceNow, Snowflake, Boomi, Salesforce, or similar (Workday experience strongly preferred).
• Demonstrated experience developing robust integrations and APIs that extend platform capabilities and enable end‑to‑end automation across systems.
• Strong analytical, communication, and collaboration skills, with a proactive, ownership‑driven approach to problem solving and production support.

#LI-ONSITE

Kubernetes & Bare Metal Engineer – Member of Technical Staff 

About Infrastructure Shared Services (ISS)

Infrastructure Shared Services (ISS) is responsible for Everpure's engineering infrastructure, development environments, and production-adjacent services across our global data centers and public cloud environments. We partner with internal engineering teams to deliver reliable, secure, and scalable platforms so they can focus on building high‑quality products.

Within ISS, the Bare Metal Kubernetes Platform team designs, builds, and operates large‑scale Kubernetes environments on bare metal servers, backed by Everpure arrays and Portworx, and integrated with ISS’s observability, CI/CD, and multi‑tenancy frameworks.

SHOULD YOU ACCEPT THIS CHALLENGE...

As an Bare Metal & Kubernetes Engineer, you will be a senior individual contributor responsible for designing, deploying, and operating large‑scale bare‑metal Kubernetes clusters and platform services in our on‑prem data centers.
You will:

• Lead technical design and implementation for new cluster features and capabilities
• Own critical areas of the platform (e.g., cluster lifecycle, networking, storage, observability, or multi‑tenancy)
• Drive reliability, performance, and security of the Kubernetes platform used by multiple business units
• Mentor other engineers and influence best practices across ISS and partner teams

Key Responsibilities

Platform Design & Architecture

• Design and evolve bare‑metal Kubernetes architectures including control plane, worker nodes, networking, and storage integrations (Portworx on FlashArray/FlashBlade).
• Define standards for cluster lifecycle management (provisioning, upgrades, decommissioning) using tools like Kubespray, Foreman, and internal CD pipelines.
• Contribute to design of multi‑tenant, secure clusters including RBAC, OIDC/SSO, namespace isolation, and quota/limit strategies.

Implementation & Operations

• Deploy, operate, and continuously improve large‑scale bare‑metal Kubernetes clusters across multiple data centers (dev, stg, prod).
• Implement and maintain cluster networking: CNI (e.g., Cilium), BGP, load balancers, ingress, and multi‑rack/ToR topologies.
• Build and maintain GitOps‑based workflows (e.g., ArgoCD) and CI/CD pipelines to manage cluster add‑ons, platform services, and tenant workloads.
• Ensure observability of the platform (metrics, logs, traces) using Prometheus, Elastic stack, Grafana, and related tooling; define SLOs and alerts with SRE teams.
• Participate in “follow the sun” on call for the production system. Lead or contribute the incident management and incident postmortem

Reliability, Security & Compliance

• Own and improve reliability and performance of clusters and platform components; lead root cause analysis and long‑term fixes for complex incidents.
• Implement and enforce security best practices for Kubernetes, including secure defaults, RBAC policies, network policies, and secrets management.
• Collaborate with SRE, Security, and Network Engineering to meet agreed SLIs/SLOs and support models for on‑prem Kubernetes.

Collaboration & Leadership

• Partner closely with BU engineering teams (e.g., GitHub Actions runners, ELK, KubeVirt workloads) to onboard and run production use cases on the bare‑metal clusters.
• Provide technical leadership on cross‑team projects: lead design reviews, write design docs, and drive decisions that balance reliability, cost, and user experience.
• Mentor junior and mid‑level engineers, sharing best practices in Kubernetes, automation, and production operations.

WHAT YOU’LL NEED TO BRING TO THIS ROLE...

• 6+ years of experience in infrastructure, SRE, or platform engineering roles, including at least 3 years running Kubernetes in production, with significant experience on bare metal.
• Strong proficiency in Linux systems administration, networking, performance tuning, and security hardening.
• Deep understanding of Kubernetes internals (API server, etcd, controllers, scheduler, kubelet) and key concepts (Pods, Deployments, Services, Ingress, ConfigMaps, Secrets, HPA).
• Hands‑on experience with Kubernetes networking: CNI plugins (preferably Cilium), Services/Ingress, NetworkPolicies, and L4/L7 load‑balancing.
• Proficiency with Infrastructure as Code (IaC) and automation tools such as Ansible, Terraform, or equivalent.
• Strong experience with observability stacks (e.g., Prometheus, Elastic/ELK, Grafana, Fluentd/Fluent Bit) for cluster and workload monitoring.
• Solid scripting or programming skills (e.g., Python, Go, or similar) for automation, tooling, and integration work.
• Excellent communication and documentation skills, with the ability to collaborate effectively across distributed teams and write clear technical documentation and runbooks.

MINIMUM QUALIFICATIONS (EDUCATION & EXPERIENCE)

• Experience building or operating KubeVirt or other virtualization solutions on top of Kubernetes.
• Prior work with on‑prem GitHub Actions runners or similar CI/CD runners on Kubernetes (cloud or bare metal).
• Familiarity with Portworx and Everpure Storage arrays as persistent storage for Kubernetes clusters.
• Experience in multi‑tenant platform design: authentication via OIDC/Okta, RBAC design, tenant isolation, and self‑service onboarding flows.
• Background in data center networking (BGP, MLAG, ECMP, spine‑leaf architectures) and how it interacts with Kubernetes networking at scale.
• Hands‑on experience with OpenStack in production (Nova, Neutron, Cinder) and integration patterns between OpenStack, Kubernetes, and on‑prem infrastructure.

About the team & role:

• The Information Security organisation advances the overall state of security at Rubrik through critical initiatives and the coordination of large security projects. Information Security builds technologies, tools, and processes to better enable teams at Rubrik to develop secure software and protect data and systems with appropriate security controls. Information Security also develops systems to monitor and respond to attacks against our systems, provides awareness education to teams on security best practices for data protection, and ensures data sharing relationships with third parties in order to securely protect Rubrik information.

• We are seeking a Senior Security Engineer to bridge the gap between traditional Security Operations and modern Data Engineering. You will be responsible for the day-to-day health of our SIEM ecosystem while simultaneously contributing in transition toward a Security Data Lake architecture. This is a hands-on, high-impact role that leverages Programming, Cloud Warehouses and AI to defend a global multi-cloud footprint.

What you’ll do?

• SIEM Administration: Handle day-to-day operations of market-leading SIEM platforms (e.g., Splunk, Sentinel, or Chronicle). This includes log ingestion from a variety of sources like Network devices, 3rd party vendor APIs,  Cloud Services, Webhooks etc..  parsing/normalisation to a common schema, health monitoring checks,  User access management and Cost Monitoring.
• Security Data Lake Operationalisation: Develop and maintain the infrastructure/Platform that moves security telemetry from raw sources into Snowflake, BigQuery, or Databricks. Tune/Optimise Ingestion at Scale for cost efficiency and  Enable SOC team and Threat Detection team to leverage the Security Data lake for their Search and Analytics workloads. 
• AI & Agentic Automation: Proactively integrate AI tools and LLMs into daily workflows; develop AI agents to automate Tier 1/2 SecOps tasks like Incident Investigation and Response.
• Cross-Team Collaboration: Partner with global teams across time zones and manage Stakeholder communication.

Experience you'll need:

• Experience: 5+ years in Security Ops and Engineering, focusing on  Security Data management and Automation.
• SIEM and SOAR Mastery: Hands-on experience with at least one market-leading SIEM (Splunk, Microsoft Sentinel, Elastic) and SOAR platform (Palo Alto XSOAR, Splunk SOAR).
• Cloud Data Warehousing: Practical experience administering or developing within Snowflake, BigQuery, and/or Databricks. Prior experience in building/maintaining data platforms that can manage  50-100 TB/day data is a big plus.
• Programming: Strong proficiency in Python and Shell scripting.
• Data Engineering Knowledge: Understanding of Cloud warehouse and  Lakehouse concepts, Open Table formats and Search engines for a composable Security Data stack.
• Cloud Infrastructure: Solid experience in one major cloud (AWS/GCP/Azure); Multi-cloud familiarity is a major plus.
• AI Fluency: Demonstrated experience or strong inclination towards utilising various AI tools to significantly enhance effectiveness (force multiplier) and solve complex business problems, particularly within SecOps and GRC domains.
• Nice to have
  • Exposure to Cloud Logging frameworks and best practices for Security Telemetry ingestion.
  • Familiarity with container orchestration (Kubernetes/EKS/GKE).
  • Interest/experience in building AI-driven security workflows.
  • Knowledge of modern CI/CD patterns and DevOps security integrations.
  • Experience with Terraform or other IaC tools.

About Rubrik and the team

Rubrik is on a mission to secure the world’s data. With our Zero Trust Data Security™ platform, we help organizations achieve business resilience against cyberattacks, malicious insiders, and operational disruptions. Rubrik protects data wherever it lives—across enterprise, cloud, and SaaS—and delivers data observability, orchestration, and recovery at scale.

The Information Technology team at Rubrik influences business processes, employee experience, and technologies to scale our organization to $1B+. This team creates operational efficiency across the company by centralizing the management of Infrastructure, Technology, and Data. The IT team ensures all stages of the software development lifecycle in a secured environment and scrutinizes the deployment of proper processes along with governance. They champion Rubrik on Rubrik and are the first customers of the Engineering teams at Rubrik. We're transforming global infrastructure, and we’re looking for bold thinkers and builders to join us. If you're passionate about making an impact and shaping the future of cloud and platform infrastructure—we'd love to hear from you.

About the Role

The Enterprise AI team is Rubrik’s internal AI enablement engine. We evaluate where AI can make a real difference, build the platforms and patterns that make adoption easy, and help engineering teams across the organization work smarter and faster. We operate at the intersection of applied AI, distributed systems, and enterprise operations — our job is to make Rubrik more efficient, one AI-powered workflow at a time.
This is a high-impact, high-autonomy team where you’ll work closely with engineering, product and operations teams across Rubrik to bring AI capabilities to life.

We’re hiring a Sr. Software Developer to design, build, and operate the platform and backend systems that power Rubrik at scale. You’ll own core infrastructure — from Kubernetes and cloud-native services to APIs and developer tooling — and work closely with product, AI, and security teams. This is a hands-on, high-ownership role where you write production code, design systems, lead code reviews, and make the engineering organization more effective.

Key Responsibilities

• Own end-to-end delivery of major platform initiatives, from design through deployment and post-launch success.
• Own Kubernetes at depth — clusters, networking, operators, container lifecycle, and multi-tenant orchestration.
• Design, develop, and optimize distributed services and cloud-native infrastructure on AWS and/or GCP for scale, reliability, and performance.
• Drive engineering excellence through code quality standards, design reviews, automation, and CI/CD best practices.
• Collaborate across teams — Product, AI, and Security — to align architecture with business objectives.
• Be a mentor and multiplier, guiding engineers through architecture decisions, trade-offs, and delivery.
• Partner with leadership to align engineering strategy with product objectives and technical roadmap.

What You Bring (Qualifications)

Required

• 9+ years of software engineering with deep backend and infrastructure focus.
• Strong programming skills in Python and/or Go — you ship production code, not just scripts and configs.
• Deep, hands-on Kubernetes experience — building and operating clusters, not just deploying to them.
• Proven experience designing and operating distributed systems in production.
• Cloud-native fluency across AWS and/or GCP — compute, storage, IAM, networking and managed services.
• Experience with infrastructure-as-code (Terraform or similar) and CI/CD pipelines.
• Familiarity with applied AI tooling and patterns — agentic AI tools (Claude, LiteLLM), AI gateways, agent frameworks — and being able to build backend services that integrate with them.
• Strong system design and architectural judgment.
• Clear communicator who partners well across product, security, and AI teams.

Preferred

• Observability stacks — Prometheus, Grafana, Datadog, OpenTelemetry.
• Multi-cloud or hybrid infrastructure experience (AWS, GCP, on-prem).
• Familiarity with API gateways, AI gateways, and policy/authorization frameworks (ABAC,
  OPA).
• Service mesh or platform-as-a-service design experience.
• Track record of improving engineering productivity at scale.

Location : Bangalore
About Team & About Role:

About Rubrik

Rubrik empowers the world to stay in motion by organizing and protecting our customers' information. We’re a team of change makers, defining the future of cybersecurity. Our culture of empowerment encourages everyone to share their ideas, run with them, and leave their mark on what we’re building. United by our purpose to secure the world’s data, we continue to reach new heights. And the best part? We’re just getting started! Everyone here has the opportunity to grow by leaps and bounds, and there is unlimited potential in front of us. Let’s pioneer the next frontier in cybersecurity by securing the world’s data, together.

Information Security - Who We Are

The Information Security (InfoSec) organization advances the overall state of security at Rubrik through critical initiatives and coordination of large security projects. Information Security builds technologies, tools, and processes to better enable teams at Rubrik to develop secure software and protect data and systems with appropriate security controls. Information Security also develops systems to monitor and respond to attacks against our systems, provides awareness education to teams on security best practices for data protection, and ensures data sharing relationships with third parties in order to securely protect Rubrik information.

Position Overview

As an InfoSec SRE Intern focused on monitoring and alerting on our security infrastructure systems. You will work closely with our security engineering and operations teams to develop and maintain observability solutions. You will gain practical experience configuring cloud-native monitoring tools, ingesting metrics into Prometheus, and creating insightful dashboards and alerts in Grafana.

This internship is an excellent opportunity for students or recent graduates interested in Site Reliability Engineering, DevOps, or cloud infrastructure.

Key Responsibilities

• Assist in implementing and maintaining monitoring and alerting systems using native cloud monitoring services (e.g., AWS CloudWatch, Azure Monitor, Google Cloud Operations).
• Respond and remediate operational issues impacting performance or availability.
• Configure Prometheus to scrape and store metrics from cloud resources.
• Develop dashboards and alerts in Grafana to enable proactive incident detection.
• Collaborate with teams to identify key reliability and performance indicators.
• Support incident response by tuning alert thresholds and helping diagnose alerts.
• Participate in documenting monitoring procedures and best practices.
• Learn and apply SRE principles focused on reliability, scalability, and automation.

Qualifications

• Currently pursuing or recently completed a degree in Computer Science, Engineering, or related field.
• Basic understanding of cloud computing concepts (AWS, Azure, or GCP).
• Familiarity with monitoring and observability tools like Prometheus and Grafana is a plus.
• Knowledge of scripting or programming languages (e.g., Python, Bash) is desirable.
• Strong problem-solving skills and eagerness to learn.
• Good communication skills and ability to work collaboratively.

What We Offer

• Mentorship from experienced SRE professionals.
• Hands-on exposure to cutting edge technology.
• Opportunity to contribute to meaningful projects with a direct impact on system reliability.
• Flexible work arrangements.
• Potential for full-time opportunities after successful completion.

About The Team: 

Come join our growing Corporate IT team to architect and scale the technology foundation that powers Dynamic Work for our employees. As a Corporate IT Architect, you will focus on designing and evolving a secure, automated, and scalable internal IT ecosystem that delivers world-class technology experiences across our workforce and workspaces.

This role centers on building resilient systems and operational maturity across Service Desk, Endpoint Engineering, Collaboration Platforms, and AV environments. You will drive proactive architectural improvements, eliminate inefficiencies, and implement automation-first strategies — all while maintaining a strong commitment to security, governance, and employee experience.

As part of a globally distributed IT organization, you will partner closely with Security, Engineering, HR, and Finance to design standards, integrations, and lifecycle management frameworks that enable scale. This position is strategic yet hands-on — ideal for someone who thrives on solving complex systems problems, using data to guide decisions, and building sustainable solutions rather than reacting to tickets.

Our goal is to ensure employees have a seamless, secure, and highly productive technology experience — by design, not by accident.

What you’ll do: 

• Define and maintain the target-state architecture for Corporate IT systems.
• Architect and mature Service Desk processes (incident, request, problem, change) with automation and self-service at the core.
• Implement AI Service Desk using LLMs and Virtual Agents for intelligent ticket routing, automated triage, and instant user resolution.
• Engineer end-to-end automation frameworks that transform manual support interventions into "self-healing" workflows 
• Design modern endpoint management strategy across macOS and Windows using Jamf and Intune
• Establish patching, compliance, and configuration baselines with measurable enforcement.
• Own architecture and governance for Google Workspace, Slack, Zoom, and conference room AV systems.
• Work with partner teams to automate onboarding/offboarding workflows across integrated systems.
• Partner with Security to implement zero-trust principles and maintain audit readiness.
• Drive API-first integrations across platforms to reduce manual intervention.
• Rationalize tooling, manage vendor strategy, and optimize spend.
• Lead escalations and provide architectural oversight for complex cross-platform issues.
• Document standards, integration patterns, and lifecycle management strategies

Experience you’ll need:

• 10+ years in Corporate IT, Endpoint Engineering, or IT Architecture roles within distributed or high-growth environments.
• Deep expertise in Jamf Pro and Microsoft Intune.
• Strong administrative and architectural experience with Google Workspace, Slack, Zoom, and SaaS ecosystems.
• Experience designing zero-touch device lifecycle management programs.
• Strong knowledge of identity and access management (Okta, Azure AD, or equivalent).
• Experience implementing ITIL-aligned service management processes.
• Demonstrated ability to design automation using scripting (Bash, Python, PowerShell) and APIs.
• Proven experience in tooling rationalization, vendor evaluation, and cost governance.
• Strong analytical and data-driven decision-making capability.
• Ability to operate independently while influencing cross-functional stakeholders.

Additional skills or certifications a plus :

• Okta
• Google Workspace Administration
• JAMF Pro Certification
• Microsoft Intune Certification
• Atlassian Suite (JIRA Service Management)
• Slack Enterprise Administration
• Zoom Rooms / AV architecture
• ITIL Certification

• Perform ongoing competitive research and testing, with a focus on delivering accurate, timely, unbiased analysis as a subject matter expert.
• Create defensible analysis/proof points and positioning of Rubrik solutions favorably against the competition
• Collaborate with the sales enablement team to create sales training, tools (cheat sheets, whitepapers, presentations, etc.),
• Work with field enablement and field success teams to establish take-out approaches as part of standard sales plays.
• Responsible for the data analysis and feedback processes to provide a quarterly view of the competitive landscape.
• Provide day zero support to the field team for emerging product features and keeping the team abreast on equivalent features from competitive products
• Produce deep dive documentation on product features and solutions with comparison to competitive products for the various field teams
• Work with the product management and product marketing team to put together collaterals helpful for demand generation

• 8-12 years of experience in a similar role (e.g. Competitive Intelligence, Technical Product Marketing, Product Management, Engineering, or Sales Engineering experience)
• Experience implementing and managing data management/protection solutions such as Veeam Backup & Recovery, DellEMC IDPA / DataProtect, Veritas NetBackup, and Commvault.
• Experience developing technical presentations, whitepapers, product guides, briefs etc.
• Good understanding of cloud computing architectures, products, and landscape ( AWS/ GCP/ Azure)
• Strong understanding of the real-world customer issues and the needs of data protection / data management
• Ability to collaborate with various groups and drive projects forward
• Strong aptitude for analyzing competitor's products, strategy, and messaging
• Aptitude for translating technical features into business value as a means of differentiating Rubrik offerings
• Executes with urgency (startup time)

Cyber Resilience Architect, APJ

• Provides technical leadership and direction to customers and internal staff in the development of fully integrated technology solutions in support of pre-sales activities in the assigned market.
• Assists in the analysis, design and development of fully integrated technology solutions.
• Demonstrates technical leadership and subject matter expertise on Rubrik’s products, distributed architectures, file systems, and competitive storage offerings in the SAN product space.
• Acts as technical expert and consultant to develop and propose solutions that meet the technology and business requirements of assigned customers.
• Makes technical and sales presentations to customer's technical staff and senior management.
• Serves as a trusted technology advisor to customers and serves as an internal resource on technical issues or specific business applications within an assigned market segment.
• Successfully builds relationships with the account team, partners and customers in support of sales team objectives and engages and leverages corporate resources, abilities, budgets and personnel as appropriate.
• Leads technical sales calls
• Qualifies sales opportunities in the terms of customer technical requirements, competition, decision making process and funding.

• 5-7 years of sales engineering experience preferably in a software or data center environment.
• Driven – need for success, highly energetic with a strong hands-on, “can do” approach.
• The successful candidate must have a fundamental breadth of technical knowledge in cloud data management, backup and disaster recovery and data analytics.
• Entrepreneurial - willing to go the extra mile, strong work ethic, resourceful, “get it done” attitude
• Strives in moving in a fast-paced environment; including handling multiple calls/demos per day with immediate follow up.
• A high level of business acumen and experience working with Cx0 level personnel, bringing technology solutions to solve business challenges.
• Smart, adaptable and open-minded

About the Role:

Production Engineer
The Production Engineer at Rubrik plays a critical role in operational excellence, managing alerts, responding to outages, and leading incident resolution as an Incident Manager. This role requires hands-on experience in maintaining highly available critical services across multi-cloud environments while driving continuous improvements through automation and intelligent monitoring.

What you’ll do:

• Join a 24/7 Production Operations team responsible for managing and supporting critical infrastructure and services in multi-cloud environments.
• Oversee staging and production environments to ensure maximum uptime and reliability.
• Implement and maintain comprehensive observability solutions for real-time monitoring, alerting, and metrics collection.
• Lead incident management efforts by swiftly responding to alerts and outages, coordinating teams to drive timely resolution.
• Analyze recurring incidents to identify root causes, reduce toil, and improve system resilience.
• Design and develop automation tools to proactively detect, triage, and remediate production issues.
• Maintain and update runbooks to support incident response and recurring issues.
• Demonstrate strong decision-making skills under pressure, effectively managing critical situations with urgency and composure.

Experience you’ll need:

• Solid understanding of distributed system concepts.
• Practical experience working with production systems and environments, preferably within public cloud infrastructures.
• Familiarity with container orchestration platforms, especially Kubernetes.
• Hands-on experience with infrastructure  management tools like CloudFormation and Terraform.
• Strong analytical and problem-solving skills  for diagnosing and resolving system and application issues.
• Proficient in data structures and algorithms, UNIX, networking, operating systems, and database systems such as MySQL.
• Proficient with Python programming skills.
• Excellent verbal and written communication skills.

Location: Bangalore, India
Work Shift: Rotation (24/7 coverage expected) 

ABOUT RUBRIK

Join Us in Securing the World's Data

Rubrik (NYSE: RBRK) is on a mission to secure the world’s data. With Zero Trust Data Security™, we help organizations achieve business resilience against cyberattacks, malicious insiders, and operational disruptions. Rubrik Security Cloud, powered by machine learning, secures data across enterprise, cloud, and SaaS applications. We help organizations uphold data integrity, deliver data availability that withstands adverse conditions, continuously monitor data risks and threats, and restore businesses with their data when infrastructure is attacked.

Rubrik provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Rubrik complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

ABOUT THE TEAM

The Production Engineering team at Rubrik is responsible for ensuring the availability and reliability of mission-critical platforms operating across large-scale, multi-cloud environments. We act as the backbone of operational excellence—owning incident response, outage, observability, and continuous improvement.

The team works in close collaboration with SRE and Engineering teams to proactively identify risks, reduce operational toil, drive outages and build resilient systems. We operate in complex, high-pressure scenarios, applying sound technical judgment while continuously improving through learning, ownership, and accountability.

ABOUT THE ROLE

As a Senior Engineering Manager for Production Engineering, you will lead and grow a high-impact team responsible for maintaining highly available, business-critical services. You will spearhead the technical roadmap, strategy and execution, while serving as a senior escalation point during major incidents.

You will set the vision for the team, while coaching engineers to operate with confidence in high-pressure environments. This role requires strong technical depth, strong decision-making skills, and the ability to collaborate across teams to continuously improve system reliability and operational maturity.

What you’ll do

• Lead Production Engineering team supporting critical infrastructure and services across multi-cloud environments. This role requires you to work in EST timezone (4:00 PM – 1:00 AM IST).
• Own operational excellence for production environments by establishing strong processes, standards, and accountability for availability and reliability.
• Champion a metrics-driven culture of continuous improvement, driving initiatives to improve operational KPIs such as MTTA/MTTR.
• Foster a strong collaborative mindset working closely with leadership to align operational priorities with business goals and reliability targets.
• Develop team members through coaching, mentoring, and career development, while enabling senior contributors to operate at maximum impact.
• Plan and manage on-call rotations, escalation models, and resource availability to ensure sustainable support for mission-critical systems.
• Establish strong execution rigor through sprint planning, prioritization, and accountability, holding teams to high standards of delivery and performance.

Experience you’ll need

• A passionate leader who is obsessed with building technically strong teams and has 12+ years of Software Development experience and 3+ years in Engineering Management roles.
• Experience hiring, building top talent teams.
• Experience in delivering enterprise-quality scalable Distributed Systems with high quality standards.
• Preferred: Experience leading SRE teams to drive operational excellence across large-scale, multi-cloud production environments through strong processes, metrics, and reliability-focused practices.
• Experience building and cultivating strong engineering practices and processes.
• Experience working with cross-geo global engineering teams.
• Have a track record of effectively communicating with stakeholders at all levels.
• Degree in Computer Science or equivalent field.

Senior Sales Engineer (Pre-sales) Bengaluru, India

Ready for an opportunity to make a substantial impact with a disruptive tech company while building your pre-sales career? Rubrik, Inc. has an amazing product, a supercharged team and the financial backing of Lightspeed Ventures, Greylock Partners and Khosla Ventures.  Bottom line, if you have limitless drive and like to win, we want to talk to you!

Rubrik is looking for Sales Engineers to provide technical direction and business guidance to the regional sales team. As a Sales Engineer, you will be accountable for regional revenue goals by driving innovative technical programs and overseeing day-to-day account-level activities. You will be responsible for evangelizing, positioning, and architecting the industry's first hyper-converged hybrid cloud data management platform for a mix of enterprise, mid-market, and small business customers throughout your region.

About the position:

• Provides technical leadership and direction to customers and internal staff in the development of fully integrated technology solutions in support of pre-sales activities in the assigned market.
• Assists in the analysis, design and development of fully integrated technology solutions.
• Demonstrates technical leadership and subject matter expertise on Rubrik’s products, distributed architectures, file systems, and competitive storage offerings in the SAN product space.
• Acts as technical expert and consultant to develop and propose solutions that meet the technology and business requirements of assigned customers.
• Makes technical and sales presentations to customer's technical staff and senior management.
• Serves as a trusted technology advisor to customers and serves as an internal resource on technical issues or specific business applications within an assigned market segment.
• Successfully builds relationships with the account team, partners and customers in support of sales team objectives and engages and leverages corporate resources, abilities, budgets and personnel as appropriate.
• Leads technical sales calls
• Qualifies sales opportunities in the terms of customer technical requirements, competition, decision making process and funding. 

About you:

• 5-10 + years of sales engineering experience  (or customer facing consulting experience) with large Enterprise clients preferably in a software or data center environment.
• Driven – need for success, highly energetic with a strong hands-on, “can do” approach.
• The successful candidate must have a fundamental breadth of technical knowledge in cloud data management, backup and disaster recovery and data analytics.
• Entrepreneurial - willing to go the extra mile, strong work ethic, resourceful, “get it done” attitude
• Strives in moving in a fast-paced environment; including handling multiple calls/demos per day with immediate follow up.
• A high level of business acumen and experience working with Cx0 level personnel, bringing technology solutions to solve business challenges.
• Smart, adaptable and open-minded
• Bachelor’s degree required or equivalent experience

Bonus Points: 

•  Knowledge of Partner and Client ecosystem a plus 

About the role : 

The Principal Engineer role is a highly strategic position, operating at the same level as an Engineering Director. In the Developer Platform organization, you will be responsible for defining and executing the technical strategy for multiple key systems/technical areas that are of significant impact to the company's Software Development Lifecycle (SDLC), developer experience, and core engineering productivity.

The scope and impact of your work will span the interactions among multiple complex systems and engineering organizations, focusing on the end-to-end flow of software delivery, scaling Developer Platforms & Infrastructure, and leveraging AI to revolutionize productivity. You will sit at the center of driving these critical improvements, ensuring the platform scales to meet the company's growth.

Your primary focus will be problem seeking. This involves not only defining plans for ambiguous problems (e.g., "How do we scale our platform 10x while reducing costs?") but also identifying problems crucial for the future of engineering productivity and proposing plans for their resolution, such as the strategic integration of AI/ML into core developer workflows.

What you’ll do

Your responsibilities will encompass technical leadership, strategic delivery and people growth with a focus on cross-functional impact across the Developer Platform and the wider Engineering organization:

• Platform Strategy and AI-Powered Productivity
• Define the long-term technical vision (3+ years) for the Developer Platform, including core infrastructure, CI/CD pipelines, and observability systems, ensuring they are cohesive and sustainable.
• Pioneer the integration of AI/ML not just for engineering tasks but to drive overall company productivity, transforming internal processes and tools.
• Identify and translate a future business opportunity or engineering productivity gap into a solvable, multi-quarter technical problem with a clear roadmap.
• Drive significant improvements in engineering velocity and quality by identifying and solving bottlenecks within the software development process and continually introducing innovation.
• Technical Leadership and Standards
• Apply domain expertise across multiple system domains (e.g., CI/CD, Observability, Cloud Infrastructure, Tooling) to drive future-proof, high-leverage platform solutions.
• Set standards for quality, structure, and operational excellence across all core platform systems.
• Be a  Consensus Builder, resolving conflicting priorities and mitigating risks across dependent engineering teams.
• Take end-to-end ownership of complex, cross-cutting projects (10-18 engineers' effort) from inception to operation.
• Engineering Influence & Growth:
• Drive and influence collaboration across the entire Engineering organization, establishing a unified software development vision.
• Act as a company ambassador through significant external contributions (e.g., open-source, publications, standards committees).
• Master the craft of coaching, mentoring Staff Engineers for Principal-level impact, and raising the hiring bar

About You 

• Typically 18+ years of industry experience in Software Engineering, with a significant focus on Developer Platforms, Infrastructure, or Core Tools.
• Demonstrated ability to function at a level equivalent to an Engineering Director in terms of strategic impact, scope of influence, and technical ownership.
• A proven track record of identifying, defining, and driving the technical strategy for high-impact initiatives across multiple complex, multi-organizational systems.
• Deep expertise in a general-purpose programming language (e.g., Go, Java, C/C++, Scala, Python) and mastery in applying first principles thinking—actively questioning assumptions to create new knowledge and solutions for core engineering problems.
• Exceptional skills as a Consensus Builder and Cross-Functional Leader, adept at navigating conflicting priorities and influencing stakeholders across various teams to achieve a unified vision.
• Experience in architecting and scaling highly available, fault-tolerant Developer Platforms and Infrastructure.
• A demonstrable understanding of how to strategically leverage AI/ML to improve software development processes and overall company productivity.
• Ability to act as an effective coach and mentor, supporting the growth of engineers up to the Staff level.
• Capable of self-directing, managing time, and advocating for resources for activities that are critical for the company's future engineering velocity and platform stability.

About the Team & Role

The platform security team is responsible for building secure, scalable infrastructure and platform services that power Rubrik's enterprise data protection solutions. We are seeking talented software engineers who are passionate about cloud security, possess deep technical expertise in securing cloud infrastructure, and stay current with industry-leading security practices for cloud-native architectures.

As a Staff Software Engineer, you will design, develop, and maintain scalable and resilient frameworks and services for all cloud infrastructure supporting Rubrik products. This is an excellent opportunity for engineers who are passionate about cloud platform security and want to make a meaningful impact on how enterprise data protection operates in the cloud. You will get to work on cutting-edge cloud security infrastructure and frameworks that define the future of Rubrik's cloud platform roadmap. Along the way, you'll help solve problems such as:

• How to build extensible, secure frameworks for deploying cloud infrastructure?
• How to implement zero-trust networking principles in Kubernetes and cloud environments?
• How to build secure CI/CD pipelines and infrastructure-as-code with security guardrails?
• How to design secure service mesh architectures for microservices communication?
• How to implement secure secrets management and credential rotation at scale?
• How to build secure container orchestration with runtime security monitoring?

In addition to solving engineering problems like these, you will also collaborate with partner teams such as Product Management, SRE, DevOps, Infrastructure, and other engineering teams. We need our engineers to be versatile, display leadership qualities, and be enthusiastic to take on new problems across the cloud infrastructure stack as we continue to push technology forward. With your technical expertise, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance secure cloud platform solutions.

This is an excellent opportunity for those looking to build a secure cloud infrastructure from the ground up. The problem space is wide (covering the entire Rubrik cloud portfolio) and deep (from performant core infrastructure to secure service architectures), and has an exciting roadmap for the coming years with tangible business impact. You'll work alongside distinguished platform and security engineers who will mentor you as you grow your technical skills and cloud security domain knowledge.

What You'll Do:

Secure Cloud Platform Development:

• Collaborate with product managers, architects, SRE, and cross-functional teams to define security standards for cloud infrastructure, implement the frameworks, and drive the migration. 
• Take full ownership of projects from design to implementation, test and deployment of secure cloud infrastructure components
• Write clean, well-tested code in languages like Go, Python, or Scala for cloud infrastructure frameworks. 
• Implement security-first cloud platform features following established patterns and best practices
• Collaborate with senior engineers on secure system design and cloud architecture decisions.
• Triage platform security issues and debug/track/resolve them by analyzing the sources of issues and driving the resolution
• Demonstrate ownership and accountability for delivering secure, reliable platform services.
• Identify security vulnerabilities in cloud infrastructure and build solutions to harden platform services
• Create/Update highly effective documentation to enable other developers and platform teams

Cloud Security Architecture & Reviews:

• Review infrastructure-as-code, container configurations, and cloud architecture designs for security concerns
• Ensure secure cloud engineering standards are followed across the organization
• Contribute to cloud security guidelines and documentation for other engineering teams
• Evangelize secure cloud practices across all platform and engineering teams
• Perform threat modeling for cloud services and infrastructure components

Team Collaboration:

• Lead by example and demand high-quality, secure deliverables from others
• Work with Product Management and SRE to understand cloud platform security standards and requirements
• Collaborate with other engineering teams on integrations with secure frameworks for cloud infrastructure.
• Participate in team meetings, planning sessions, and knowledge sharing
• Coach and mentor junior team members for their professional growth in cloud security engineering

Learning & Growth Opportunities:

• Work closely with other staff and distinguished engineers who will mentor your development in cloud security
• Gain hands-on experience with cloud security services, container security, and infrastructure security
• Learn about cloud threat modeling and secure cloud architecture principles
• Participate in cloud security training and knowledge-sharing sessions
• Contribute to a positive, learning-focused team culture

What We're Looking For

Required Qualifications:

• Bachelor's degree in Computer Science, Software Engineering, or related technical field, or equivalent practical experience
• 10+ years of software development experience with a focus on cloud platforms and infrastructure
• Strong experience with cloud platforms (AWS, Azure, GCP), including security services and best practices
• Deep understanding of cloud security principles, container security, and infrastructure security
• Proficiency in infrastructure-as-code tools (e.g., Terraform)
• Experience with container orchestration platforms (Kubernetes, Docker) and their security models
• Strong programming skills in at least one language (Go, Python, Java, Rust, or similar)
• Experience with cloud-native security tools and practices (service mesh, zero-trust networking, secrets management)
• Understanding of networking security concepts (VPCs, security groups, network policies, TLS/mTLS)
• Experience with version control systems (Git) and collaborative development
• Passion for cloud security engineering - genuine interest in building secure cloud infrastructure
• Proactive mindset - takes initiative to learn new cloud technologies and solve complex infrastructure problems independently

Preferred Qualifications:

• Experience with service mesh technologies (Istio, Linkerd, Consul Connect)
• Hands-on experience with cloud security services (AWS IAM/KMS/GuardDuty, Azure Key Vault/Defender, GCP IAM/KMS)
• Experience with secure CI/CD pipelines and DevSecOps practices
• Familiarity with compliance frameworks (SOC2, FedRAMP, GDPR) and their cloud implementation
• Experience with monitoring and observability tools for cloud security (Prometheus, Grafana, cloud-native monitoring)
• Knowledge of cryptographic protocols and their implementation in cloud environments
• Experience with infrastructure security scanning and vulnerability management
• Understanding of microservices security patterns and API security
• Experience with cloud cost optimization and resource management

Why Join Us?

Perfect Growth Opportunity in Cloud Security Engineering

• Sharpen your cloud security skills by tackling challenging and real-world problems and collaborating with experienced mentors
• Work on meaningful projects that secure enterprise customers' critical data in the cloud
• Gain exposure to cutting-edge cloud security technologies and industry best practices
• Build a strong foundation for a career in cloud platform or security engineering
• Move your career forward with opportunities to specialize in cloud security and leading platform teams

Technical Learning Opportunities

• Hands-on experience with modern cloud security technologies and frameworks
• Exposure to large-scale distributed cloud systems and multi-cloud platforms
• Opportunity to contribute to open-source cloud security and platform projects
• Access to the latest cloud development tools and security research

What Makes a Great Candidate

• Loves to learn - excited about diving into new cloud technologies and security concepts
• Takes initiative - doesn't wait to be told what to do, asks questions, and seeks out learning opportunities in cloud security
• Thinks systematically - can analyze complex cloud infrastructure problems and think through potential security implications
• Collaborates well - enjoys working with others and learning from teammates across platforms and security domains
• Pays attention to detail - understands that small details matter in cloud security and infrastructure reliability
• Is passionate about cloud security - genuinely interested in building secure cloud infrastructure and protecting customer data