About Zuora

At Zuora, we help businesses grow smarter and adapt faster. Our platform powers modern business models — from subscriptions and usage-based pricing to AI-driven and outcome-based offerings — helping companies launch new products, automate complex billing, and unlock predictable, recurring revenue.

We’ve led the Subscription Economy for more than a decade. Now we’re evolving again by building the definitive platform for quote to cash and helping companies monetize their products and services with an adaptable, AI-ready foundation.

The Opportunity 

As an AI Solutions Engineer on the team, you'll have the opportunity to:

• Deploy AI-Powered Tools: Roll out and fine-tune AI solutions that embed intelligence into everyday workflows (e.g. configuring enterprise search assistant and AI service agents) to improve how employees find information and resolve requests.  You will provide end-to-end implementation for emerging solutions to full deployment and adoption.
  
  
• Build & Optimize AI Agents: Use  agent builder  frameworks to create custom AI agents that help various internal teams. This includes designing, testing, and refining prompts to ensure our AI assistants (chatbots, search agents, etc.) provide accurate, context-aware responses. You’ll apply prompt engineering techniques to continuously improve agent performance and reduce errors.
  
  
• Improve Internal Workflows: Collaborate with cross-functional teams to identify high-impact opportunities for AI automation.. You’ll work with stakeholders in Corporate Operations, HR, Finance and customer facing teams to map out processes that can be enhanced by AI (from workflow automation to decision support), then prototype and implement solutions that address those needs.
  
  
• Integrate Systems & Data: Connect AI platforms with our internal tools and data sources. You’ll manage configurations, API integrations, and data pipelines to ensure the AI solutions have the information they need.. For example, you might integrate our knowledge bases or ticketing data so that the AI agents can access up-to-date company information when answering questions.
  
  
• Enable & Support Users: Serve as an internal champion for these AI tools. You will create clear documentation and conduct training sessions and demos to help employees get the most out of new AI features.  Part of your job is to gather user feedback and monitor usage metrics, using those insights to iterate on prompts/configurations for continuous improvement. You’ll ensure a smooth adoption and drive ongoing enhancements so that the AI solutions continue to deliver value.

About You

The business outcomes you will impact include (but are not limited to):

• Improvement of Current Systems:
• Gather metrics on the performance and effectiveness of the current product.
• Continuously fine-tune & retrain models to ensure the systems remain efficient.
• New Product Feature Development:
• Proactively identify opportunities to enhance our product offerings with machine learning and AI-driven features.
• Lead the design and development of innovative solutions that align with market demands and customer needs.
• Best Practices and Governance:
• Establish and document best practices for training, evaluating, and operating machine learning and AI models.
• Promote a culture of responsible AI and ensure compliance with data privacy regulations.

Your experience and skills

• Candidates with Minimum 4 years of relevant experience in AI/Machine Learning
  
  
• AI/ML Knowledge: Foundational understanding of AI and machine learning concepts – especially familiarity with large language models (LLMs) and how they can be applied to solve real-world problems. You stay curious and keep up with the latest in AI.
  
  
• Hands-on with AI Tools: Demonstrated interest or experience in working with AI-powered platforms or APIs (e.g. building a small chatbot, using an AI knowledge search, or automating workflows with AI). Proven ability to quickly learn new AI tools and make them useful. Experience with enterprise AI solutions (such as Glean, OpenAI, Atomicwork, Gemini, Slack, etc.) is a plus.
  
  
• Scripting & Integration Skills: Comfortable with light coding/scripting (Python, JavaScript or similar) to customize solutions. Ability to work with APIs and webhooks to integrate systems is important.   You don’t need to be a full-time software engineer, but you should be able to tweak code or configurations to connect tools together.
  
  
• Problem-Solving Mindset: Strong analytical and problem-solving skills. You can break down a business workflow, identify where it can be improved, and configure an AI solution to do it. When an AI response isn’t quite right, you iterate on the prompt or data until it improves.
  
  
• Communication & Collaboration: Excellent communication skills and a collaborative approach to working with non-technical stakeholders. You can translate technical AI capabilities into plain language, helping teams understand and trust the solutions. You thrive in a cross-functional setting, working with IT colleagues, business users, and vendors alike.

About the Team

Our Corporate Operation team is Zuora's internal technology organization, responsible for creating technology experiences that connect our teams, drive business alignment and build a stronger, more collaborative workplace.” With a cloud-first approach, we empower our global ZEOs with increased productivity and self-service to enable company growth, scale, and flexibility while hardening our security and compliance posture.

The Digital Workplace team is responsible for all of our technology systems providing solutions for Zuora employees including internal Accounting, Procurement, Legal, and Human Resources departments. 

Benefits

Zuora offers a comprehensive total rewards package designed to support ZEOs’ wellbeing, growth, and flexibility. While specific offerings may vary by country, we typically provide:

• Competitive compensation, variable bonus and performance-based reward opportunities, and retirement programs
• Medical, dental, and vision insurance
• Generous, flexible time off, plus paid holidays, wellness days, and a company-wide year-end break
• Paid parental leave (including fully paid leave for eligible ZEOs, subject to local policy)
• Learning & development stipend to support ongoing growth
• Opportunities to volunteer and give back, including charitable donation matching where available
• Mental wellbeing resources and support

*Benefits may vary by location; details will be shared during the interview process

#ZEOLife at Zuora

ZEOs (our employees) are empowered to take ownership, challenge the status quo, and make a real impact. We:

• Collaborate deeply across teams and regions
• Learn constantly and iterate often
• Build an inclusive, high-performance culture where people feel inspired, connected, and valued

Our Commitment to an Inclusive Workplace

Think, be and do you.
At Zuora, different perspectives, experiences, and contributions matter — everyone counts.

Zuora is proud to be an Equal Opportunity Employer committed to creating an inclusive environment for all. We do not discriminate on the basis of, and consider individuals seeking employment with Zuora without regard to, race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

Job Description

We are seeking a Staff Backend Engineer to design and build scalable, AI-native backend services that power customer intelligence, campaign orchestration, and attribution at automotive retail scale. This role is the critical technical anchor — defining hexagonal architecture patterns, owning service boundaries, driving AI integration patterns, and setting the engineering bar for the entire team.

Key Responsibilities

 • Architect Java (Spring Boot 3.x) microservices using hexagonal architecture — defining clean domain cores, port interfaces for persistence (MongoDB, PostgreSQL, Cosmos DB), and adapter implementations for Kafka, Elasticsearch, Redis/Aerospike, and external APIs.

• Own core domain models and service boundaries end-to-end: from initial hexagonal design through production operation, Kafka event contracts, and iterative enhancement.

• Build scalable, secure REST APIs and robust Kafka-based event-driven pipelines that consume and produce events across multiple source systems. 

• Design MongoDB document schemas and PostgreSQL relational schemas for high-throughput, multi-tenant workloads — with deep attention to indexing strategy, TTL, and tenant isolation patterns.

• Design Cosmos DB data models for high-throughput event and state storage — partition key strategy, consistency levels, and TTL configuration. 

• Design and implement durable campaign execution workflows using Temporal. 

• Establish and own AI-native integration patterns: MCP tool registration, scoring model serving contracts, LLM gateway integration, and agentic workflow design.

• Identify and resolve performance bottlenecks across services, Kafka pipelines, data layers, and Elasticsearch query performance. 

• Ensure all systems meet reliability, scalability, and observability standards.

• Mentor senior, mid-level, and junior engineers — setting and consistently raising the engineering bar.

Skills & Qualifications

• 8+ years of backend engineering experience with a strong track record delivering production-grade Java systems.

• Deep expertise in hexagonal architecture (ports & adapters) — proven ability to design domain cores fully decoupled from infrastructure layers.

• Strong Java 21 and Spring Boot 3.x expertise with event-driven, microservices-first design. 

• Strong experience with Kafka — consumer groups, partition design, offset management, idempotent consumers, and event-driven service integration.

• Proven experience with MongoDB: document schema design, indexing, aggregation pipelines, and multi tenant isolation patterns.

• Strong PostgreSQL experience: complex schema design, query optimization, migration management.

• Experience with Cosmos DB or equivalent globally distributed key-value stores: partition key design, consistency tuning, high-throughput read/write patterns.

• Solid experience with Elasticsearch: index design, search query optimization, relevance tuning.

• Experience with Redis or Aerospike for high-throughput caching and session/state management.

• Strong understanding of distributed systems: service boundaries, data consistency, idempotency, retries, and circuit breaking on AWS (EKS, MSK).

Preferred Skills

• Experience with Temporal for durable workflow orchestration. 

• Familiarity with MCP tool registration patterns and agentic platform integration.

• Working knowledge of Python for AI/ML pipeline integration (scoring models, feature serving, LLM gateway patterns).

• Prior experience building data platforms, real-time analytics systems, or AI-native SaaS products.

Perks & Benefits 

• Competitive compensation and generous stock options.

• Medical insurance coverage.

• Work with some of the brightest minds from Silicon Valley's most dominant and successful companies.

Role Overview
We are seeking a Staff Frontend Engineer to be the technical anchor for our frontend capability. This role goes beyond feature delivery — you will define the frontend architecture, establish the component design system, own the Next.js application structure, drive performance standards, and mentor Senior and mid-level frontend engineers. You will build the most complex, data-intensive UI surfaces: real-time attribution dashboards, AI powered campaign builders, and platform-embedded intelligence widgets — all in React + Next.js stack integrated with Elasticsearch-powered search and streaming AI responses.  

Key Responsibilities
• Own and evolve the frontend architecture: Next.js App Router structure, component boundaries, state management strategy (Redux), and data-fetching patterns — applying hexagonal UI principles where the component layer is decoupled from specific backend service contracts.

• Design and build the most technically complex UI surfaces: real-time attribution dashboards (streaming data), AI-powered campaign builder (LLM response streaming), Elasticsearch-backed customer search with faceted filtering, and platform-embedded opportunity cards.

• Define the component design system: atomic component library, theming contracts, accessibility standards (WCAG 2.1), and Storybook-based documentation.

• Establish frontend performance standards: Core Web Vitals targets, bundle size budgets, SSR/SSG strategy with Next.js, lazy loading, and virtualization for large data tables.

• Lead Next.js architecture decisions: App Router vs. Pages Router tradeoffs, RSC (React Server Components) applicability, streaming SSR for AI-generated content, and API route design.

• Integrate AI-native frontend patterns: streaming LLM responses into UI components, real-time score updates from Redis/Aerospike via SSE, and Elasticsearch typeahead search. 

• Drive code quality through design reviews, code reviews, pair programming, and frontend-specific engineering standards.

• Mentor Senior and mid-level frontend engineers — setting the bar for component design, test coverage, and performance discipline.

• Collaborate closely with backend Staff Engineers to define API contracts and with designers to implement pixel-perfect, accessible UIs

Skills & Qualifications

• 8+ years of frontend engineering experience with deep React and Next.js expertise in production systems.

• Mastery of Next.js 14+ App Router, React Server Components, streaming SSR, and static generation — knowing when to apply each pattern.

• Strong TypeScript expertise: type safety across component props, API contracts, Redux store shape, and server/client boundaries.

• Deep Redux expertise: slice design, selector optimization, middleware patterns, and RTK Query for data fetching.

• Proven experience building data-intensive dashboards with real-time data (WebSocket, SSE, or polling) and chart libraries (Recharts, D3.js).

• Experience integrating Elasticsearch-powered search UIs: typeahead, faceted search, and result ranking display.

• Strong frontend performance engineering: bundle analysis, code splitting, memoization, virtualization, and Core Web Vitals optimization.

• Experience establishing and maintaining component design systems with accessibility standards.

• Experience mentoring engineers and raising the technical bar across a frontend team. 

Good to Have

• Experience streaming LLM/AI-generated content into React UI components (token streaming, partial rendering patterns).

• Familiarity with platform-embedded micro-frontend patterns (module federation or iframe-based embedding).

• Background in automotive retail, eCommerce analytics, or SaaS BI/reporting platforms.

• Experience with Storybook for component documentation and visual regression testing. 

Role Overview

We are looking for a Senior Backend Engineer to design, build, and scale robust backend services that power complex business workflows. This role requires strong ownership, deep Java expertise, a solid grounding in hexagonal architecture, and the ability to collaborate effectively across product, QA, AI/ML, and engineering teams in a fast-moving, AI-native environment.

Key Responsibilities

• Design and build Java (Spring Boot 3.x) microservices following hexagonal architecture — clean domain logic isolated from MongoDB, PostgreSQL, Cosmos DB, and Kafka adapter implementations.

• Develop and maintain REST APIs, Kafka event consumers/producers, and domain service logic for campaign, scoring, attribution, and customer profile workflows.

• Build and manage MongoDB document schemas and PostgreSQL relational schemas for high-throughput, multi-tenant use cases. 

• Implement Cosmos DB data models for event and state storage with appropriate partition key and consistency strategies.

• Take end-to-end ownership of components — from domain design and hexagonal adapter implementation through deployment and ongoing optimization.

• Integrate with Elasticsearch for campaign search, customer lookup, and full-text query workloads.

• Configure and tune Redis or Aerospike for frequency cap enforcement, scoring cache, and session state management.

• Identify and resolve performance bottlenecks across services, event pipelines, and data layers.

• Participate actively in design discussions, architecture decisions, and code reviews.

• Mentor Junior engineers and act as a role model for code quality, hexagonal design, and AI-native engineering best practices.

Skills & Qualifications

• 5+ years of backend engineering experience; Bachelor's or Master's degree in Computer Science or a related field.

• Strong Java 21 and Spring Boot 3.x expertise; solid grasp of hexagonal architecture and clean domain modeling.

• Experience with Kafka: consumer/producer patterns, at-least-once delivery, idempotent processing, and event-driven service design.

• Hands-on MongoDB experience: document schema design, indexing, aggregation pipelines, multi-tenant isolation.

• PostgreSQL experience: schema design, query optimization, migration management.

• Familiarity with Cosmos DB or equivalent distributed key-value / document stores.

• Experience with Elasticsearch for search and analytics workloads.

• Experience with Redis or Aerospike for high-throughput caching patterns.

• Familiarity with cloud-based systems on AWS (EKS, MSK, S3).

• Strong debugging, performance tuning, and system optimization skills.

• Familiarity with Agile/Scrum development practices and CI/CD pipelines.

Good to Have

• Experience with Temporal for workflow orchestration.

• Familiarity with AI-native integration patterns: MCP tool registration, scoring API contracts, LLM gateway usage.

• Working knowledge of Python for understanding AI/ML service outputs and integrating scoring results.

• Background in enterprise-scale SaaS platforms: eCommerce, supply chain, or similar. 

Job Description

You will develop enterprise-grade frontend experiences embedded within our core platform and collaborate closely with designers, backend engineers, and product managers to deliver a world-class, AI-native user experience. You will build scalable, performant React + Next.js applications that surface real-time intelligence, campaign management interfaces, and data-rich dashboards — deeply integrated with our backend services and platform component framework.

Key Responsibilities
• Design and build responsive, reusable UI components using ReactJS and Next.js — including data visualization dashboards, campaign management interfaces, and customer intelligence widgets.
• Develop large-scale, cloud-ready frontend applications integrated with backend REST APIs, real-time data streams, and Elasticsearch-powered search experiences.
• Manage application state using Redux, ensuring seamless synchronization with backend microservices.
• Build platform-embedded frontend components following the hexagonal UI principle — components are independent, composable, and decoupled from specific data sources via port interfaces.
• Leverage Next.js SSR and SSG capabilities where appropriate for performance-critical views and SEO relevant surfaces.
• Collaborate with product, design, and backend teams to rapidly prototype and deliver high-quality, data-rich features.
• Ensure usability, performance, security, and visual consistency across environments and devices.
• Diagnose and fix UI bugs, rendering performance issues, and frontend bottlenecks.
• Write high-quality, maintainable code with thorough unit and integration tests.
• Follow Tekion UI, design, and engineering best practices.

Skills & Experience
• 3-5 years of experience in frontend engineering; Bachelor's degree in Computer Science or a related field.
• Strong hands-on expertise with React, Next.js, JavaScript/TypeScript, and Redux.
• Solid knowledge of HTML, CSS, and web standards (REST, HTTP, JSON, DOM, W3C).
• Experience building enterprise-grade SaaS applications with real-time data and complex state management requirements.
• Familiarity with Next.js App Router, SSR, SSG, and API routes.
• Excellent understanding of frontend performance: code splitting, lazy loading, memoization, virtualization.
• Experience with Git and project management tools (e.g., JIRA).
• Proven experience delivering scalable, high-performance frontend systems with thorough test coverage.
• Strong sense of ownership and bias for action in a fast-paced startup environment.

Preferred Skills
• Experience integrating AI-generated content and LLM-streamed responses into frontend components.
• Familiarity with data visualization libraries (Recharts, D3.js) for analytics and reporting dashboards.
• Experience building embedded micro-frontend components within larger platform shells.
• Exposure to Elasticsearch-powered search UI patterns (faceted search, typeahead, result ranking).

Perks & Benefits
• Competitive compensation and generous stock options.
• Medical insurance coverage.
• Work with some of the brightest minds from Silicon Valley's most dominant and successful companies.

Job Description
You will develop enterprise-grade frontend experiences embedded within our core platform and collaborate closely with designers, backend engineers, and product managers to deliver a world-class, AI-native user experience. You will build scalable, performant React + Next.js applications that surface real-time intelligence, campaign management interfaces, and data-rich dashboards — deeply integrated with our backend services and platform component framework.

Key Responsibilities
• Design and build responsive, reusable UI components using ReactJS and Next.js — including data visualization dashboards, campaign management interfaces, and customer intelligence widgets.
• Develop large-scale, cloud-ready frontend applications integrated with backend REST APIs, real-time data streams, and Elasticsearch-powered search experiences.
• Manage application state using Redux, ensuring seamless synchronization with backend microservices.
• Build platform-embedded frontend components following the hexagonal UI principle — components are independent, composable, and decoupled from specific data sources via port interfaces.
• Leverage Next.js SSR and SSG capabilities where appropriate for performance-critical views and SEO relevant surfaces.
• Collaborate with product, design, and backend teams to rapidly prototype and deliver high-quality, data-rich features.
• Ensure usability, performance, security, and visual consistency across environments and devices.
• Diagnose and fix UI bugs, rendering performance issues, and frontend bottlenecks.
• Write high-quality, maintainable code with thorough unit and integration tests.
• Follow Tekion UI, design, and engineering best practices.

Skills & Experience
• 5+ years of experience in frontend engineering; Bachelor's degree in Computer Science or a related field.
• Strong hands-on expertise with React, Next.js, JavaScript/TypeScript, and Redux.
• Solid knowledge of HTML, CSS, and web standards (REST, HTTP, JSON, DOM, W3C).
• Experience building enterprise-grade SaaS applications with real-time data and complex state management requirements.
• Familiarity with Next.js App Router, SSR, SSG, and API routes.
• Excellent understanding of frontend performance: code splitting, lazy loading, memoization, virtualization.
• Experience with Git and project management tools (e.g., JIRA).
• Proven experience delivering scalable, high-performance frontend systems with thorough test coverage.
• Strong sense of ownership and bias for action in a fast-paced startup environment.

Preferred Skills
• Experience integrating AI-generated content and LLM-streamed responses into frontend components.
• Familiarity with data visualization libraries (Recharts, D3.js) for analytics and reporting dashboards.
• Experience building embedded micro-frontend components within larger platform shells.
• Exposure to Elasticsearch-powered search UI patterns (faceted search, typeahead, result ranking).

Perks & Benefits
• Competitive compensation and generous stock options.
• Medical insurance coverage.
• Work with some of the brightest minds from Silicon Valley's most dominant and successful companies.

Job Description

We are looking for a Software Engineer II to join one of our Scrum teams building AI-native, event-driven services for automotive retail intelligence. This is a core contributor role for engineers with 2–4 years of experience who are ready to take end-to-end ownership of features, grow their distributed systems skills, and work in a high velocity environment that demands code quality, hexagonal architecture discipline, and genuine curiosity about AI-native engineering.

Key Responsibilities

• Develop and maintain Java (Spring Boot 3.x) backend services — implementing domain logic, REST APIs, Kafka event consumers/producers, and MongoDB/PostgreSQL persistence adapters following hexagonal architecture patterns.
• Build features across the full backend slice: domain model, port interface, adapter implementation, unit tests, and integration tests.
• Write integration tests using Testcontainers for MongoDB, PostgreSQL, Kafka, and Elasticsearch adapters — ensuring each adapter is tested independently from the domain core.
• Participate in design discussions, architecture reviews, and code reviews — actively learning from Staff and Senior engineers.
• Investigate and resolve bugs, performance issues, and Kafka consumer lag across services.
• Write clean, well-documented, testable code with consistent application of hexagonal design principles.
• Contribute to golden dataset test scenario design under the guidance of the Product Manager and SDET.
• Operate with ownership and curiosity in a fast-paced, startup environment.

Skills and Experience

• 2–4 years of backend engineering experience; Bachelor's or Master's degree in Computer Science or a related field.
• Solid Java fundamentals: object-oriented design, Spring Boot, REST API implementation, and unit testing (JUnit 5).
• Working knowledge of at least one of: MongoDB, PostgreSQL, or Kafka — with willingness to develop depth across all three.
• Understanding of hexagonal architecture concepts (ports & adapters) — ability to implement adapters under the guidance of senior engineers.
• Familiarity with cloud environments (AWS), containerization (Docker), and CI/CD pipelines.
• Strong problem-solving skills, attention to code quality, and ability to receive and apply feedback quickly.
• Collaborative mindset and clear communication — comfortable asking questions and flagging blockers early.

Preferred Skills

• Exposure to Kafka producers and consumers in a production or learning context.
• Familiarity with Elasticsearch for search and analytics use cases.
• Curiosity about AI/ML systems — awareness of what scoring models, embeddings, and LLMs do at a systems level.
• Exposure to Redis or Aerospike for caching patterns.
  
  

Perks and Benefits

• Competitive compensation and generous stock options.
• Medical insurance coverage.
• Work with some of the brightest minds from Silicon Valley's most dominant and successful companies.

We are looking for a skilled QA Automation Consultant with strong expertise in Salesforce and AWS Connect testing to join our growing team. The ideal candidate will have hands-on experience in QA projects,Salesforce automation implementations, and AI-driven application testing, including Agentforce and Generative/Agentic AI use cases.

This role requires ownership of the QA lifecycle, active contribution to automation framework design, and successful delivery of Salesforce QA Automation initiatives.

Key Responsibilities:

• Strong background in Salesforce QA Automation projects, including web, API, voice, and chat-based applications
• Hands-on experience in automation tools such as Playwright (with AI SDK), REST Assured, JMeter/K6, JUnit/TestNG (preferred), and working knowledge of Provar, Selenium WebDriver, Java, Python, Selenium Grid, Cucumber, Maven, and CI/CD pipeline integrations
• Experience in leading or independently managing the complete QA lifecycle including Test Plan creation, Test Scenario design, Test Case/Script development, execution, and defect lifecycle management
• Estimate, prioritize, plan, and coordinate testing activities across Agile, Waterfall, or Hybrid SDLC/STLC models
• Ability to design and build automation frameworks from scratch, with strong expertise in automation architecture, reusable components, and regression suite development
• Successfully delivered at least one Salesforce QA Automation implementation, including in-sprint automation and regression coverage
• Experience in managing both Manual and Automation testing activities and identifying reusable test assets
• Strong understanding of Salesforce solution design, architecture fundamentals, and business requirements validation
• Experience or knowledge of Salesforce Agentforce Agents (Voice/Chat/Email/Slack/SMS) and testing of Agentic & Generative AI applications is a plus
• Salesforce Agentforce Specialist Certification and Agentforce Legend rank; Salesforce Administrator certification is a big plus
• Experience testing Salesforce Service Cloud Voice (SCV), MIAW, Live Agent, AWS Connect, AWS Voice & Chat Agents, and IVR telephony systems is preferred
• Ability to leverage Generative and Agentic AI tools for QA optimization including test data generation, test case generation, status reporting, and other QA artifacts
• Write and execute test cases based on requirements, maintain requirement traceability using tools such as Zephyr/TestRail/X-Ray, and log/manage defects in Jira
• Support and coordinate System Integration Testing (SIT) and User Acceptance Testing (UAT), actively participate in defect triage, and guide customers through the UAT process

Soft Skills:

• Strong presentation skills (remote and in-person), including stakeholder-facing discussions
• Ability to lead user story clarification sessions with business and internal teams
• Clear and effective communication of QA status, risks, and mitigation plans
• Highly organized, accountable, and quality-driven mindset
• Proactively contribute to continuous improvement initiatives and automation maturity

Qualifications:

• Bachelor’s degree in Computer Science or a related field
• 2–6 years of experience as a QA Automation Engineer/Consultant
• Proven experience in Salesforce Web and API automation projects
• Strong hands-on expertise in Playwright, Provar, and/or Selenium
• Experience integrating automation suites with CI/CD pipelines

If you are a detail-oriented, automation-driven QA professional with a passion for Salesforce, AI-driven applications, and continuous quality improvement, we encourage you to apply for this exciting opportunity.

Equal Employment Opportunity Statement

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

The Role

We are looking for an elite engineer who builds like a hacker and communicates like a consultant. You will not just be building models in a notebook; you will be deployed to the front lines to build, architect, and ship end-to-end Agentic AI products directly for our most strategic customers.

This is a high-stakes role. You will face "tricky" customers who have vague requirements and high expectations. Your job is to translate their chaos into technical order, write production-grade code, and deploy autonomous agents that solve their actual business problems.

What You Will Do

• Build & Deploy (60%):

Design and ship full-stack AI applications. You own the pipeline from data ingestion to the LLM inference layer to the frontend interface.

Architect autonomous agentic workflows (using frameworks like LangChain, LangGraph, or custom implementations) that can reason, plan, and execute complex tasks.

Write robust, clean, and highly testable code (Python/Typescript). "It works on my machine" is not acceptable; it must work in the customer's restricted cloud environment.

Handle DevOps and MLOps constraints: Dockerizing agents, managing Kubernetes clusters, and optimizing inference latency.

• Customer Engineering (40%):

Serve as the technical face of the company for our most demanding accounts.

Navigate complex stakeholder environments. You will push back on unrealistic demands, clarify ambiguous requirements, and steer "tricky" customers toward technically feasible solutions without breaking rapport.

Translate technical constraints into business value for non-technical executives.

Generate high-quality data for our customers and ability to review the data generated by other experts. This is one of the most critical aspects of the role.

The "Must-Haves"

• Experience: 8–12 years of total engineering experience. You started as a strong Software Engineer and evolved into an AI specialist.
• Education: B.S./M.S. in Computer Science, Math, or Physics from a top-tier institution (IIT, MIT, Stanford, Harvard, Berkeley, CMU, or similar global top-ranking universities).
• Deep AI Fluency: You aren't just calling APIs. You understand RAG implementation nuances, vector database optimization, fine-tuning (LoRA/PEFT), and the architecture of agentic loops.
• Production Engineering: Experience with end-to-end deployment (AWS/GCP/Azure, CI/CD pipelines, Terraform, Docker).

The "Why You" (Soft Skills)

• Thick Skin & High EQ: You don't get flustered when a customer changes their mind for the third time in a week. You can hold your ground with a CTO and explain "why not" to a CEO.
• Extreme Attention to Detail: You catch the edge cases that others miss. You obsess over error handling, retry logic in agents, and data privacy.
• Grit: You enjoy the "messy" work of integrating legacy enterprise data just as much as prompting the latest model.

What will set you apart

• Public Code: A visible GitHub footprint is very helpful. We want to see your side projects, your contributions to open source, or your experiments with LLMs. Please include your GitHub link in your application.

Tech Stack

• Languages: Python (Expert).
• AI/Data (Expertise in all is not required): PyTorch, LangChain, LlamaIndex, Pinecone/Weaviate, OpenAI/Anthropic APIs, HuggingFace.
• Infra (Expertise in all is not required): Kubernetes, Terraform, AWS/GCP.

populate JD

Why we're hiring:

WPP Enterprise Technology delivers IT services across the WPP group — enabling the world's most creative brands to co 

We are looking for a seasoned full-stack engineer who enjoys systems design, integration complexity, and intelligent workflow automation. You will join our Global Automation & Business Platforms programme and take ownership of designing, building, and refining production-grade solutions — both as standalone products and as integrations within our core Hero portfolio. 

Day-to-day you will architect event-driven pipelines, build Python and React services, wire together enterprise APIs, and make smart engineering decisions on frameworks and data models.  

What you'll be doing:

Solution Design & Delivery 

• Design and develop full-stack solutions (Python back-end, React front-end) that integrate with portfolio products or run as standalone platforms. 
• Architect service-to-service integration patterns: synchronous APIs, event queues, webhook pipelines, and scheduled batch processes. 
• Build and maintain FastAPI services with clear contracts, versioning, and observability from day one. 

Workflow & Automation Engineering 

• Implement sophisticated multi-step automation workflows that coordinate actions across enterprise systems — document management, CRM, HR, finance, and media platforms. 
• Build integrations between internal data sources, third-party APIs, and cloud platform services (Azure, GCP). 

Quality, Governance & Documentation 

• Build evaluation and testing frameworks so that every automated workflow is measurable, auditable, and improvable. 
• Work closely with the Engineering Lead to define governance standards: access control, audit logging, safe defaults, and compliance guardrails. 
• Maintain thorough technical documentation — architecture diagrams, runbooks, API specs, and decision records. 

Collaboration 

• Operate within an Agile Kanban team, taking stories from backlog refinement through to production deployment. 
• Act as the technical bridge between business stakeholders and engineering: translating requirements into pragmatic designs and communicating trade-offs clearly.
• Support other automation delivery teams across WPP with technical guidance and code reviews. 

What you'll need:

Essential 

• 7–9 years of professional software engineering experience, with Python as the primary back-end language. 
• Strong React / TypeScript front-end skills — you can build and own the full vertical, not just the API layer. 
• Solid FastAPI or equivalent Python API framework experience; you know how to structure a production service. 
• Proven experience designing and operating event-driven or pipeline architectures (queues, schedulers, webhooks, streaming). 
• Comfortable working across cloud platforms — Azure and/or GCP — including managed services for compute, storage, and messaging. 
• Experience integrating with enterprise identity, directory, and SaaS APIs (Microsoft 365 ecosystem is a strong advantage). 
• Hands-on experience building search or retrieval-augmented systems: embedding pipelines, vector databases, semantic indexing. 
• Solid understanding of evaluation and testing practices for complex, non-deterministic systems. 
• Agile practitioner — comfortable in Kanban or Scrum, familiar with backlog management, sprint ceremonies, and incremental delivery. 
• Excellent written and verbal English; you document your work and communicate clearly with both engineers and non-technical stakeholders. 

Nice to Have 

• Familiarity with Microsoft Copilot Studio or Power Platform. 
• Exposure to enterprise-grade governance patterns: RBAC, audit trails, policy-as-code. 

Certifications 

Mandatory (required in first 30 days) 

• Microsoft Azure AI Engineer Associate (AI-102) 

Desirable / Required within 3 months 

• GitHub Copilot (GH-300) 
• Microsoft Power Platform Fundamentals (PL-900) 

Who you are:

You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.

You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.

You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.

What we'll give you:

Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.

Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.

Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?

#LI-Onsite  

Role Overview

We are seeking a Staff Technical Program Manager to own the cross-team delivery machinery for a 20-person AI native engineering organization. This is not a project coordination role — it is a technical program ownership role.  You will maintain the master delivery plan across two Scrum teams and shared resources, track and resolve  
cross-team dependencies (platform teams, ARC backend, OEM integrations), manage risk before it becomes a miss, and create the delivery transparency that allows Engineering, Product, and Executive leadership to make fast, informed decisions. The best TPMs are invisible when things go well and indispensable when they don't. 

Key Responsibilities 

• Own the master delivery plan: maintain the integrated roadmap across both Scrum teams, shared resources (Architect, ML, SDET), and external platform dependencies — with milestone-level clarity at all times.  
• Track and resolve cross-team dependencies: Agentic Engine, Core Platform (Temporal, MCP Gateway, Component Framework), ARC backend (Kafka event contracts, API dependencies), Design (component specs), and external vendors (email/SMS providers).  
• Run the delivery rhythm: sprint review calendar, cross-team sync cadence, dependency review meetings, and risk escalation forums — keeping the Director and VP Engineering informed without burying them in status updates.  
• Identify, quantify, and manage delivery risks: surface blockers early, drive resolution with urgency, and maintain a live risk register with mitigation owners and timelines.  
• Own cross-team technical communication: translate engineering status into language that Product, Business, and Executive stakeholders can act on — and translate business urgency back into engineering trade-off decisions.  
• Drive the release process: define release criteria, coordinate go/no-go decisions with Engineering, QA (Staff SDET), and Product, and manage production deployments across services.  
• Manage the dependency interface to the T1 Agentic Engine team: track which Intent, Skill, Policy, and MCP tool registrations are ready, which are blocked, and what the critical path impact is.  
• Continuously improve the delivery system: identify bottlenecks in the engineering process, drive retrospectives, and implement changes that sustainably increase throughput and quality.

Skills & Qualifications 

• 12+ years of technical program management experience, with at least 3 years at Staff level managing multi team programs at SaaS or platform companies.  
• Strong technical depth: able to read architecture diagrams, understand Kafka dependency graphs, evaluate API contract blockers, and participate credibly in engineering design discussions.  
• Proven experience managing complex, multi-team delivery programs with many external dependencies — including platform dependencies outside your direct control.  
• Expert facilitation of engineering delivery rituals: sprint planning, dependency reviews, release gates, post mortems, and architecture syncs.  
• Deep understanding of AI-native product delivery: what makes AI system delivery different from traditional software (eval requirements, model versioning, non-deterministic outputs, golden dataset dependencies).  
• Excellent written communication: can produce a crisp, executive-readable status update that tells the truth clearly and drives decisions.  
• Strong stakeholder management across Engineering, Product, Design, and Executive levels — comfortable managing up, across, and down.  

 
Good to Have  

• Experience managing delivery programs that involve both Java microservices and Python AI/ML engineering teams simultaneously.  
• Familiarity with agentic AI platform concepts: intent registries, MCP tools, skill/policy authoring, and eval frameworks — enough to track technical dependency status accurately.  
• Background in automotive retail technology or dealer management systems.  
• Prior experience working in a US-India distributed engineering organization.  
 

Job Description

We’re seeking a hands-on Senior Data Architect to design and modernize scalable, AI-ready data platforms across cloud. The ideal candidate has deep technical expertise in AWS, PySpark, and Python, and experience migrating legacy Java-based scripts to Spark frameworks while ensuring data quality, scalability, and performance.

Key Responsibilities

• Design and implement data architecture and pipelines using PySpark, Python, and AWS services (Glue, EMR, S3, Redshift, Athena).
• Modernize legacy systems by converting Java-based migration or ETL scripts into Spark-based solutions.
• Build and manage data lakes and data warehouses optimized for analytics and AI/ML workflows.
• Collaborate with data scientists and analysts to enable model training, deployment, and continuous data delivery.
• Define and document HLD (High-Level Design) and LLD (Low-Level Design) for scalable data systems.
• Implement standards for data quality, governance, performance optimization, and security.
• Lead troubleshooting, performance tuning, and architecture reviews for data pipelines.

Skills and Experience

• 15+ years of experience in data engineering or architecture, with strong hands-on development background.
• Expert-level proficiency in PySpark, Python, and SQL for data processing and transformation.
• Strong understanding of AWS data ecosystem — including Glue, EMR, S3, Redshift, and Lambda.
• Proven experience migrating or re-engineering Java-based ETL systems into modern Spark environments.
• Solid foundation in data lake, data warehouse, and cloud-native architecture design.
• Experience supporting AI/ML data pipelines and integrating data platforms with ML workflows.
• Strong documentation skills (HLD, LLD) and ability to communicate architecture clearly to technical and business stakeholders.
• Experience with both RDBMS such as Maria DB/MySQL and No-SQL database such MongoDB
• Experience with GIT, Jenkins, & AWS
• Expertise in performance optimization and cost management for cloud environments
• Ability to manage multiple projects and priorities in a fast-paced environment
• AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional

Job Description

Key Responsibilities

• Own end-to-end delivery of CI/CD pipelines, infrastructure as code, and deployment automation workflows. 
• Collaborate with application, infrastructure, and security teams to drive automation, system reliability, and operational excellence. 
• Establish and track key metrics (KPIs) for deployment frequency, change lead time, incident reduction, and operational resilience. 
• Ensure compliance and security requirements are met through robust tooling and effective processes (e.g., secrets management, vulnerability scanning, audit logging). 
• Manage resource planning, hiring, and performance reviews; foster a collaborative and inclusive team environment. 
• Report progress, risks, and key outcomes to senior leadership; contribute to technology, roadmaps and budget planning. 

Skills and Experience

• Bachelor’s/master’s in computer science, Engineering, or related field, or equivalent practical experience. 
• 5+ years of experience in DevOps or SRE roles, including large-scale automation and modern infrastructure management. 
• Deep experience with modern DevOps tooling and practices (e.g., Kubernetes, Terraform, Jenkins, GitHub Actions, AWS/GCP/Azure). 
• Proven expertise in automation, configuration management, monitoring/alerting, and incident response. 
• Solid understanding of security best practices for cloud-native environments (e.g., IAM, RBAC, encryption, compliance frameworks). 
• Strong communication skills, with the ability to effectively manage stakeholders, prioritize work, and build high-performing teams. 

As a Lead Automation QA Engineer, you will champion world-class software quality by architecting and executing advanced, hands-on automation across complex business workflows. Though you may provide strategy and mentorship, your core focus will be as a technical individual contributor running sophisticated, E2E test automation—including data, API, mobile, and cross-platform business process validations spanning the full Lead-to-Cash cycle (Salesforce, Implementation, and NetSuite). You’ll also adopt AI-based test automation, including LLM and RAG system validations.

Responsibilities

Hands-On Test Automation:

• E2E Business Process Validation:
• Design and execute automated E2E tests spanning the full Lead-to-Cash cycle, including Salesforce, downstream processes, and financial handoff to NetSuite.
• Orchestrate multi-system test scenarios to validate data flows, business process logic, integrations, and error handling across Salesforce and NetSuite.
• Develop automated test scripts to ensure synchronization and data integrity between CRM, integrated system, and ERP for business-critical workflows.
• Data Validation:
• Write and automate SQL queries for multi-source data verification, ensuring consistent, accurate information across connected systems.
• Perform automated backend checks as opportunities progress through different pipeline stages from Lead to Revenue realization.
• API & Integration Testing:
• Build and maintain robust API validation suites using Rest Assured or similar frameworks, covering all RESTful interfaces connecting Salesforce, Integrated system, and NetSuite.
• Validate integration points and data exchange between systems.
• Mobile Test Automation:
• Create and execute automated mobile tests (Appium, Espresso, XCUITest) for mobile components of business processes (if applicable).
• AI-Driven QA:
• Leverage AI-powered test automation tools and approaches to optimize and expand test coverage.
• Design and manage automated validation of Large Language Model (LLM) or Retrieval-Augmented Generation (RAG)-enabled workflows.
• DevOps Integration:
• Integrate automated E2E and component tests into CI/CD pipelines for continuous validation.

QA Leadership:

• Mentor team members in test strategy for multi-system, E2E automation.
• Review test plans and ensure adoption of QA best practices for cross-platform business process validation.
• Collaborate with cross-functional teams (Salesforce admins, implementation engineers, ERP developers) to ensure quality across business processes.

Requirements

• 8+ years’ automation QA experience, with proven E2E validation across business process systems.
• Hands-on experience automating tests across Salesforce, middleware/implementation platforms, and ERP systems like NetSuite.
• Advanced SQL query skills for backend data validation and reconciliation.
• Strong experience with API automation (Rest Assured or similar) and automated UI testing tools.
• Experience with mobile automation frameworks (Appium, Espresso, XCUITest, etc.).
• Familiarity or experience with AI/LLM/RAG or willingness to learn and implement.
• Proficient with CI/CD, Agile workflows, and test automation best practices.
• Excellent analytical, troubleshooting, and communication skills.

Job Description

Key Responsibilities

• Own end-to-end delivery of CI/CD pipelines, infrastructure as code, and deployment automation workflows. 
• Collaborate with application, infrastructure, and security teams to drive automation, system reliability, and operational excellence. 
• Establish and track key metrics (KPIs) for deployment frequency, change lead time, incident reduction, and operational resilience. 
• Ensure compliance and security requirements are met through robust tooling and effective processes (e.g., secrets management, vulnerability scanning, audit logging). 
• Manage resource planning, hiring, and performance reviews; foster a collaborative and inclusive team environment. 
• Report progress, risks, and key outcomes to senior leadership; contribute to technology, roadmaps and budget planning. 

Skills and Experience

• Bachelor’s/master’s in computer science, Engineering, or related field, or equivalent practical experience. 
• 5+ years of experience in DevOps or SRE roles, including large-scale automation and modern infrastructure management. 
• Deep experience with modern DevOps tooling and practices (e.g., Kubernetes, Terraform, Jenkins, GitHub Actions, AWS/GCP/Azure). 
• Proven expertise in automation, configuration management, monitoring/alerting, and incident response. 
• Solid understanding of security best practices for cloud-native environments (e.g., IAM, RBAC, encryption, compliance frameworks). 
• Strong communication skills, with the ability to effectively manage stakeholders, prioritize work, and build high-performing teams. 

Job Description

We are looking for a Senior QA Engineer / SDET to drive quality across our AI-native backend services and platform systems. You will own test automation strategy, release quality gates, and quality engineering practices — working closely with backend engineers (Java + Python), product managers, and platform architects. This role focuses heavily on validating hexagonal architecture adapters, Kafka event pipelines, multi-database correctness, and AI scoring model outputs.

Key Responsibilities

• Design, build, and scale automated test frameworks for Java microservices built on hexagonal architecture — with distinct test strategies for the domain core, adapter layers (MongoDB, PostgreSQL, Cosmos DB, Kafka, Elasticsearch, Redis/Aerospike), and external integrations.

• Develop and maintain comprehensive test suites: functional, integration (Testcontainers), regression, contract, and end-to-end across all adapter implementations.

• Validate Kafka event pipelines: consumer behavior, event ordering, idempotency, poison pill handling, and dead-letter queue processing. 

• Validate MongoDB document integrity, PostgreSQL relational consistency, Cosmos DB partition correctness, and Elasticsearch index accuracy across service boundaries.

• Design and execute golden dataset test scenarios — seeding realistic dealer and customer data to validate scoring accuracy, suppression correctness, and attribution logic.

• Validate Python-based AI/ML service outputs: scoring model results, recommendation correctness, and LLM response safety gates. 

• Collaborate closely with backend engineers and architects to embed quality early in hexagonal domain design and adapter implementation.

• Drive testability improvements by influencing API design, logging, observability, and error handling.

• Own release quality and go/no-go decisions by defining and tracking quality gates in CI/CD pipelines.

• Define and monitor quality metrics: test coverage, defect leakage, flakiness, MTTR, and automation ROI. 

• Lead root cause analysis for production issues and drive preventive measures.

• Mentor junior QA/SDET engineers and set best practices across teams.

Skills & Experience

• 6+ years of hands-on experience in QA Engineering, Test Automation, or SDET roles.

• Strong test automation expertise using modern Java-based frameworks; working knowledge of Python test frameworks (pytest) is a strong plus.

• Deep experience testing distributed microservices, REST APIs, and Kafka-based architectures.

• Experience with Testcontainers for integration testing across MongoDB, PostgreSQL, Kafka, and Elasticsearch locally.

• Strong understanding of Kafka testing: consumer behavior, event ordering guarantees, and idempotency validation.

• Experience with MongoDB and PostgreSQL testing patterns: data integrity, schema migration validation, multi-tenant isolation verification.

• Familiarity with Elasticsearch test strategies: index correctness, relevance, and query result validation.

• Experience with CI/CD pipeline integration (GitHub Actions, Jenkins, or equivalent).

• Familiarity with containerized environments (Docker, Kubernetes).

• Excellent problem-solving, communication, and collaboration skills.

Preferred Skills

• Experience validating AI/ML model outputs and scoring pipeline correctness.

• Exposure to contract testing (Pact or similar) and service virtualization for hexagonal adapter boundaries.

• Experience with performance, load, and chaos testing (JMeter, Gatling, k6) against Elasticsearch and Kafka.

• Background in DevOps or Site Reliability Engineering practices.

Perks & Benefits

• Competitive compensation and generous stock options. 

• Medical insurance coverage.

• Work with some of the brightest minds from Silicon Valley's most dominant and successful companies. 

Job Description

We are looking for a Senior QA Engineer / SDET to drive quality across our AI-native backend services and platform systems. You will own test automation strategy, release quality gates, and quality engineering practices — working closely with backend engineers (Java + Python), product managers, and platform architects. This role focuses heavily on validating hexagonal architecture adapters, Kafka event pipelines, multi-database correctness, and AI scoring model outputs.

Key Responsibilities

• Design, build, and scale automated test frameworks for Java microservices built on hexagonal architecture — with distinct test strategies for the domain core, adapter layers (MongoDB, PostgreSQL, Cosmos DB, Kafka, Elasticsearch, Redis/Aerospike), and external integrations.

• Develop and maintain comprehensive test suites: functional, integration (Testcontainers), regression, contract, and end-to-end across all adapter implementations.

• Validate Kafka event pipelines: consumer behavior, event ordering, idempotency, poison pill handling, and dead-letter queue processing. 

• Validate MongoDB document integrity, PostgreSQL relational consistency, Cosmos DB partition correctness, and Elasticsearch index accuracy across service boundaries.

• Design and execute golden dataset test scenarios — seeding realistic dealer and customer data to validate scoring accuracy, suppression correctness, and attribution logic.

• Validate Python-based AI/ML service outputs: scoring model results, recommendation correctness, and LLM response safety gates. 

• Collaborate closely with backend engineers and architects to embed quality early in hexagonal domain design and adapter implementation.

• Drive testability improvements by influencing API design, logging, observability, and error handling.

• Own release quality and go/no-go decisions by defining and tracking quality gates in CI/CD pipelines.

• Define and monitor quality metrics: test coverage, defect leakage, flakiness, MTTR, and automation ROI. 

• Lead root cause analysis for production issues and drive preventive measures.

• Mentor junior QA/SDET engineers and set best practices across teams.

Skills & Experience

• 6+ years of hands-on experience in QA Engineering, Test Automation, or SDET roles.

• Strong test automation expertise using modern Java-based frameworks; working knowledge of Python test frameworks (pytest) is a strong plus.

• Deep experience testing distributed microservices, REST APIs, and Kafka-based architectures.

• Experience with Testcontainers for integration testing across MongoDB, PostgreSQL, Kafka, and Elasticsearch locally.

• Strong understanding of Kafka testing: consumer behavior, event ordering guarantees, and idempotency validation.

• Experience with MongoDB and PostgreSQL testing patterns: data integrity, schema migration validation, multi-tenant isolation verification.

• Familiarity with Elasticsearch test strategies: index correctness, relevance, and query result validation.

• Experience with CI/CD pipeline integration (GitHub Actions, Jenkins, or equivalent).

• Familiarity with containerized environments (Docker, Kubernetes).

• Excellent problem-solving, communication, and collaboration skills.

Preferred Skills

• Experience validating AI/ML model outputs and scoring pipeline correctness.

• Exposure to contract testing (Pact or similar) and service virtualization for hexagonal adapter boundaries.

• Experience with performance, load, and chaos testing (JMeter, Gatling, k6) against Elasticsearch and Kafka.

• Background in DevOps or Site Reliability Engineering practices.

Perks & Benefits

• Competitive compensation and generous stock options. 

• Medical insurance coverage.

• Work with some of the brightest minds from Silicon Valley's most dominant and successful companies. 

Job Description

We are seeking a Staff SDET to own the quality architecture for our AI-native platform. This is not a test execution role — it is a quality engineering leadership role. You will design and own the test strategy across all layers of the hexagonal architecture (domain core, adapters, integration, end-to-end), establish quality gates for AI model outputs, build the golden dataset evaluation framework, and set the engineering bar for Senior SDETs and QA engineers on both Scrum teams. Nothing ships without your sign-off.

Key Responsibilities

• Own the complete quality architecture: define test strategies at each hexagonal layer — domain core unit tests, adapter integration tests (Testcontainers), service-to-service contract tests (Pact), and end-to-end scenario tests.

• Design and build the golden dataset evaluation framework: seed realistic multi-tenant dealer/customer data across MongoDB, PostgreSQL, Cosmos DB, Elasticsearch, and Kafka, and define assertion criteria for scoring accuracy, suppression correctness, and attribution logic. 

• Establish AI quality gates: define evaluation criteria for ML model outputs (scoring, recommendations), LLM response quality, RAG retrieval accuracy (precision@k, recall), and agentic workflow correctness.

• Architect test infrastructure: Testcontainers configurations for MongoDB, PostgreSQL, Cosmos DB, Kafka, Elasticsearch, and Redis/Aerospike — enabling fully local integration test runs.

• Own CI/CD quality pipeline: define what automated tests run at commit, PR, staging, and pre-release gates — with blocking quality thresholds.

• Define and track quality metrics: test coverage per hexagonal layer, defect leakage, flakiness rate, MTTR, and automation ROI.

• Lead root cause analysis for production escapes — own post-mortems and preventive measure implementation. 

• Mentor Senior SDETs and QA engineers across both teams; conduct design reviews for test frameworks and golden dataset designs.

• Influence backend and frontend engineers on testability: drive API design, logging, observability, and error handling that makes services intrinsically testable. 

Skills & Experience

• 8+ years of QA Engineering, Test Automation, or SDET experience with strong hands-on engineering depth.

• Deep expertise designing test strategies for hexagonal architecture: proven ability to test domain cores independently from adapters, and adapters independently from each other.

• Strong programming skills in Java (primary) and Python — able to write production-quality test frameworks, not just test scripts. 

• Expert-level Testcontainers experience across MongoDB, PostgreSQL, Kafka, Elasticsearch, and Redis/Aerospike. 

• Experience with contract testing (Pact or similar) for service boundary validation and service virtualization.

• Deep Kafka testing expertise: consumer group behavior, event ordering guarantees, idempotency, and dead-letter queue validation.

• Experience designing golden dataset strategies: multi-tenant data seeding, realistic event sequences, and deterministic assertion design.

• Experience integrating quality gates into CI/CD pipelines with meaningful blocking thresholds.

• Strong understanding of AI/ML output validation: scoring correctness, RAG retrieval quality metrics, and agentic workflow eval design.

Preferred Skills

• Experience with performance, load, and chaos testing (Gatling, k6) against Kafka, Elasticsearch, and MongoDB at scale.

• Background in AI/ML quality engineering: eval frameworks (RAGAS or similar), model regression detection, and LLM safety testing.

• Prior experience owning quality for a platform serving multiple engineering teams (quality platform ownership).

• Familiarity with Cosmos DB testing patterns and eventual consistency validation strategies.

Perks & Benefits

• Competitive compensation and generous stock options.

• Medical insurance coverage.

• Work with some of the brightest minds from Silicon Valley's most dominant and successful companies.

We’re ideally looking for someone who is comfortable across the entire stack and can take ownership of feature delivery from design to deployment. The ideal candidate should have:

• 5+ years of experience with Python and FastAPI (async programming)
• Experience with Redis caching patterns and cache invalidation strategies
• Experience with event-driven architectures (Pub/Sub, SNS/SQS, or similar message brokers)
• Familiarity with SQLAlchemy ORM and relational database patterns
• Experience writing comprehensive test suites (pytest, integration testing)
• Comfortable with REST API design and microservices communication patterns
• Experience with AI-assisted development tools (Cursor, Copilot, Claude Code)
• Experience with Git and CI/CD pipelines

Nice to Have

• Experience with Strapi CMS or similar headless CMS platforms
• Experience with both GCP and AWS cloud services
• Familiarity with i18n patterns (locale handling, translation key management)
• Experience in Java and typescript

Job Title: AI Applications Engineer II

Location: Bangalore/ Chennai, India

About the Role

We’re looking for a passionate AI Applications Engineer II to join our growing Enterprise AI Team. In this role, you’ll help manage, support, and optimize our Google Gemini Enterprise agentic AI platform, ensuring it operates securely, efficiently, and at scale across the organization.

You’ll spend most of your time focused on Gemini Enterprise platform administration, governance, and support, along with some dedicated time to enhancing/building/doing POC work on agentic and automation projects that furthers performance, user experience, and integration with Five9 enterprise systems.

If you’re driven by innovation, precision, and the opportunity to shape how AI supports a global business, this is the role for you.

Key Responsibilities

• Administer, configure, and optimize Gemini Enterprise and related AI agentic functionality to ensure seamless performance and compliance within Five9 environments.
• Manage user provisioning, license assignments, access controls, and security policies, ensuring consistency with IT, Infosec and compliance governance standards.
• Oversee appropriate Google Cloud Platform (GCP) resources — including Project services, AI/ML engine, storage, and Gemini AI models — focusing on reliability, performance, and cost management.
• Support cloud run workflows, CI/CD automation pipelines, and containerized environments, leveraging tools such as Terraform, Docker, and Kubernetes.
• Partner with data engineers, DevOps teams, and business stakeholders to troubleshoot issues, implement updates, and ensure timely support for production workloads.
• Conduct prompt engineering and workflow optimization to improve agentic AI accuracy, responsiveness, and relevance.
• Maintain and update documentation, runbooks, and best practice guides for platform operations, deployment, and support.
• Deliver training and enablement sessions to end users and power users on Gemini Enterprise capabilities and AI use cases.
• Continuously evaluate emerging Google AI and Gemini agentic technologies, recommending improvements that enhance scalability and automation.

Key Requirements

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field (AI or data systems focus preferred).
• Minimum of 3 years of GCP experience & 1 year of Claude experience supporting or developing AI/ML solutions on Google platform.
• Hands on experience with AI/ ML solutions/apps and operational best practices (ML Ops experience is advantageous).
• Proficiency with GCP/Claude services such as Compute Engine, IAM, Kubernetes, VPC, BQ, etc.
• Experience in automation and scripting using Python, Bash, and Infrastructure as Code (IaC) tools such as Terraform or Deployment Manager.
• Familiarity with Gemini Enterprise or similar enterprise AI frameworks, including prompt engineering, AI agent configuration, and data governance.
• Strong understanding of security, compliance, and auditing practices, including DLP, Access Transparency, and data residency standards.
• Excellent problem-solving, analytical, and troubleshooting skills.
• Strong interpersonal and communication abilities, with the capacity to explain technical topics to non-technical audiences.
• A passion for innovation, continuous learning, and driving impactful AI adoption across the enterprise.

Why You’ll Love Working Here

• Be part of a forward-thinking Enterprise AI Team, driving next-generation innovation across the company.
• Work hands-on with cutting-edge technologies like Google Gemini Enterprise and other agentic AI tools that power real-world business applications.
• Collaborate with skilled engineers, data scientists, and business leaders on high-visibility projects that make a measurable impact.
• Enjoy a culture that values experimentation, continuous learning, and teamwork, with opportunities to grow your skills in cloud operations and AI engineering.
• Play a key role in transforming enterprise workflows through AI innovation, scalability, and operational excellence.

Qualifications & Skills 

• Understand omni channel communication technologies and their role in the contact center 

• 2+ years of experience as a product support engineer 

• Good listening and comprehension skills 

• Quick on your feet while consultatively working with the end customer to implement the solution 

• A natural ability to dig in and resolve technical issues in structured manner 

• Have a commitment to excellence in taking care of our customers and expect the same from others 

• Windows operating systems, MS SQL, IIS 

• Hands-on experience on log analysis and troubleshooting 

• Familiarity with IP Networking, SQL, REST APIs, and Linux 

• Experience working with one or more contact center software suites such as Cisco UCCE, Amazon Connect, NICE inContact, Twilio, Avaya, or Genesys 

• Previous experience with outbound contact center products is a plus. 

Key Skills 

• Contact Center Outbound 

• API 

• Linux 

• SQL 

• AWS  

Shift: Night Shift 
Work mode: Work from office 

Shift: Night Shift
Work Mode: Work from office

Why we're hiring:

The Automation Engineer is responsible for designing, developing, and maintaining security automation solutions that enhance detection, response, workflow efficiency, and operational consistency across Operational Security. Working under the Automation Lead, this role builds high-quality SOAR playbooks, integrations, scripts, AI-assisted workflows, and orchestration pipelines to reduce manual workloads and support the Autonomic Security Operations (ASO) model.

What you'll be doing:

Core Responsibilities

Automation Engineering & Development

• Develop SOAR playbooks, workflows, and automations for alert triage, enrichment, containment, and remediation.
• Build scalable, reusable automation components, scripts, and integrations.
• Implement high-quality scripting using Python, PowerShell, and REST APIs.
• Ensure appropriate version control, QA, testing, and documentation of automation artefacts.
• Maintain reliability of automations by monitoring performance, exceptions, and system behaviour.

Platform Integration & Tooling Engineering

• Integrate SOAR with SIEM, EDR, TIP, cloud-native security tools, and case management systems.
• Engineer automation pipelines to support Microsoft and Google security ecosystems.
• Develop API integrations, webhooks, and event-driven automation triggers.
• Support data transformation, enrichment, and telemetry orchestration requirements.

AI / ML Automation Enablement

• Contribute to embedding AI/ML-driven enrichment and correlation logic into automated workflows.
• Support operationalisation of ML models for anomaly detection and decision support.
• Collaborate with data and detection teams to refine and enhance AI-enabled automation.

Workflow Engineering & Process Automation

• Translate SOPs, response runbooks, and detection workflows into automated processes.
• Identify automation opportunities to eliminate manual tasks across SecOps functions.
• Ensure automated processes remain consistent, auditable, and compliant with Operational Security standards.

Operational Collaboration & Support

• Work with Detection Engineering, Incident Response, Threat Hunting, and Threat Intelligence teams to automate use cases.
• Participate in post-incident reviews and embed improvements into automation workflows.
• Assist with tool evaluations, optimisation initiatives, and integration efforts led by the Automation Lead.

Continuous Improvement

• Contribute to a backlog of automation enhancements and new capabilities.
• Optimise accuracy, resilience, and efficiency across automation workflows.
• Ensure alignment with GCAT SOC10x principles, including 10X Technology, Process, Speed, and Visibility.

What you'll need:

Technical Expertise

• Experience with SOAR platforms such as Cortex XSOAR, Splunk SOAR, or Chronicle SOAR.
• Proficiency in Python and/or PowerShell for automation development.
• Strong understanding of REST APIs, JSON, and event-driven automation.
• Experience integrating SIEM, EDR, TIP, and cloud-native security tools.

Process & Operational Knowledge

• Understanding of workflows across SOC, Incident Response, Threat Hunting, and Detection Engineering.
• Ability to convert operational requirements and SOPs into engineered automation.
• Familiarity with playbooks, runbooks, and security process governance.

Collaboration & Delivery

• Strong communication and documentation skills.
• Ability to work in an engineering-led, automation-first culture.
• Experience working with cross-functional technical teams in security operations.

Certifications (Preferred)

• SOAR platform certifications.
• GIAC (GMON, GCTI, GCIH, GCDA).
• Python or scripting certifications.
• Azure or GCP cloud certifications.

Key Attributes

• Engineering-first mindset with strong attention to detail.
• Problem-solving orientation with a focus on automation and efficiency.
• Structured, methodical, and reliable approach to delivery.
• Commitment to operational excellence and continuous improvement.

Who you are:

You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.

You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.

You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.

What we'll give you:

Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.

Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.

Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?

#LI-Hybrid 

Who We Are

At Platform Science, we’re working to connect everything that moves.

Founded in 2015, we are an open IoT platform that partners with innovative fleets, application developers, vehicle manufacturers, and equipment providers in the transportation industry to deliver revolutionary solutions to supply chain professionals across the globe.

Our employees are an engaging, diverse group of people who believe in the power of great ideas. We hire people with different experiences and perspectives to build a company culture that fuels growth through innovation.

We value thoughtful actions and empathy for others. We approach challenges with resiliency and creativity, while encouraging transparency because, no matter our backgrounds or responsibilities, we are one team.

About the Role

Platform Science is seeking a highly skilled Senior Software Engineer to join our Orion (Fleet Management System) department in Chennai. In this role, you will be a key contributor to our cloud-native full-stack development efforts, designing and deploying robust, high-performance software for high-velocity fleet solutions. Reporting to the Engineering Manager, you will work with an innovative mindset to solve complex problems and ensure the successful delivery of projects that impact the global transportation industry.

Essential Responsibilities

• Full-Stack Development: Design, develop, and maintain scalable applications using Node.js, Vue.js, React.js, and TypeScript, ensuring maximum performance across a variety of web-capable devices.

• API & Backend Architecture: Create efficient internal and external APIs and develop optimized database schemas for both RDBMS (PostgreSQL, MySQL) and NoSQL (ElasticSearch) environments.

• Cloud & Infrastructure: Deploy and manage applications on AWS, leveraging Docker and Kubernetes to ensure high availability, scalability, and security.

• Quality Engineering: Write clean, modular, and testable code; conduct thorough unit, integration, and performance testing (using frameworks like Jest or Enzyme) to ensure software reliability.

• Collaborative Innovation: Partner with Product Managers and Architects to translate requirements into technical specifications while automating CI/CD pipelines alongside the DevOps team.

Experience

Required Experience

• 4+ years of professional experience in software development with a heavy focus on Node.js, Vue.js, and React.js.

• Strong proficiency in TypeScript and modern frontend build tools (e.g., Webpack).

• Solid understanding of Microservices architecture and event-driven design patterns (e.g., Kafka, RabbitMQ).

• Hands-on experience with AWS and cloud deployment methodologies.

• In-depth knowledge of database management (SQL Server, PostgreSQL, TimescaleDB, or ElasticSearch).

• Education: Bachelor's degree in Computer Science, Software Engineering, or a related field.

Nice to Have

• Experience with React state management libraries (e.g., Redux).

• Familiarity with Test-Driven Development (TDD).

• Experience with Agile tools like Jira or Rally.

Traits of a Successful Candidate

• Problem Solver: Exceptional debugging skills with the ability to navigate complex software systems and performance bottlenecks.

• Effective Communicator: Strong interpersonal skills to collaborate effectively within a cross-functional, international team.

• Continuous Learner: A proactive mindset and a willingness to explore and adopt emerging cloud and microservices technologies.

• Detail-Oriented: A commitment to writing clean code and following software engineering best practices.

Benefits & Legal

The company offers various benefits to regular, full-time employees including:

• Provident fund and gratuity in accordance with applicable laws.

• Paid vacation, sick leave and holidays, in accordance with applicable laws.

• Twenty-Six weeks of paid maternity leave.

Please note: The compensation details listed in India role postings reflect the base salary only, and do not include bonus, equity, or benefits.

Platform Science collects your personal information to support its business operations. You can review further details in our Privacy Policy.

Platform Science is an equal opportunity employer. All applicants will be considered for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

Who We Are

At Platform Science, we’re working to connect everything that moves.

Founded in 2015, we are an open IoT platform that partners with innovative fleets, application developers, vehicle manufacturers, and equipment providers in the transportation industry to deliver revolutionary solutions to supply chain professionals across the globe.

Our employees are an engaging, diverse group of people who believe in the power of great ideas. We hire people with different experiences and perspectives to build a company culture that fuels growth through innovation.

We value thoughtful actions and empathy for others. We approach challenges with resiliency and creativity, while encouraging transparency because, no matter our backgrounds or responsibilities, we are one team.

About the Role

Platform Science is seeking a highly skilled Senior Software Engineer to join our Orion (Fleet Management System) department in Chennai. In this role, you will be a key contributor to our cloud-native full-stack development efforts, designing and deploying robust, high-performance software for high-velocity fleet solutions. Reporting to the Engineering Manager, you will work with an innovative mindset to solve complex problems and ensure the successful delivery of projects that impact the global transportation industry.

Essential Responsibilities

• Full-Stack Development: Design, develop, and maintain scalable applications using Node.js, Vue.js, React.js, and TypeScript, ensuring maximum performance across a variety of web-capable devices.

• API & Backend Architecture: Create efficient internal and external APIs and develop optimized database schemas for both RDBMS (PostgreSQL, MySQL) and NoSQL (ElasticSearch) environments.

• Cloud & Infrastructure: Deploy and manage applications on AWS, leveraging Docker and Kubernetes to ensure high availability, scalability, and security.

• Quality Engineering: Write clean, modular, and testable code; conduct thorough unit, integration, and performance testing (using frameworks like Jest or Enzyme) to ensure software reliability.

• Collaborative Innovation: Partner with Product Managers and Architects to translate requirements into technical specifications while automating CI/CD pipelines alongside the DevOps team.

Experience

Required Experience

• 4+ years of professional experience in software development with a heavy focus on Node.js, Vue.js, and React.js.

• Strong proficiency in TypeScript and modern frontend build tools (e.g., Webpack).

• Solid understanding of Microservices architecture and event-driven design patterns (e.g., Kafka, RabbitMQ).

• Hands-on experience with AWS and cloud deployment methodologies.

• In-depth knowledge of database management (SQL Server, PostgreSQL, TimescaleDB, or ElasticSearch).

• Education: Bachelor's degree in Computer Science, Software Engineering, or a related field.

Nice to Have

• Experience with React state management libraries (e.g., Redux).

• Familiarity with Test-Driven Development (TDD).

• Experience with Agile tools like Jira or Rally.

Traits of a Successful Candidate

• Problem Solver: Exceptional debugging skills with the ability to navigate complex software systems and performance bottlenecks.

• Effective Communicator: Strong interpersonal skills to collaborate effectively within a cross-functional, international team.

• Continuous Learner: A proactive mindset and a willingness to explore and adopt emerging cloud and microservices technologies.

• Detail-Oriented: A commitment to writing clean code and following software engineering best practices.

Benefits & Legal

The company offers various benefits to regular, full-time employees including:

• Provident fund and gratuity in accordance with applicable laws.

• Paid vacation, sick leave and holidays, in accordance with applicable laws.

• Twenty-Six weeks of paid maternity leave.

Please note: The compensation details listed in India role postings reflect the base salary only, and do not include bonus, equity, or benefits.

Platform Science collects your personal information to support its business operations. You can review further details in our Privacy Policy.

Platform Science is an equal opportunity employer. All applicants will be considered for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

Why we're hiring:

To help us scale and deliver solutions across our Data Mesh platform, we are looking for a DevOps engineer who can be responsible for the deployment of our data solutions using Azure DevOps. Automation is at the core of our solutions, which spans our development, testing and production infrastructures. A focus on balancing agility, low maintenance and security is critical.

The ideal candidate will have a solid background in DevOps engineering for a large company and be highly experienced with Azure DevOps Pipelines to deploy both IaC and solutions. You’ll be working closely with our Software & Data Engineering teams - from the first lines of code being committed to it being deployed into production.

The DevOps engineer will also help design & plan projects and be involved in project execution decisions.

What you'll be doing:

• Build CI/CD process to increase release efficiency and reduce occurrence of errors.
• Develop software to integrate with internal backend systems
• Perform root cause analysis of deployment errors and provide future mitigation of those errors
• Communicate to both technical and non-technical stakeholders
• Cloud deployment and management
• CI/CD management and deployment
• Performance assessment, monitoring and recommending performance enhancements
• Infrastructure management using IaC
• Continuous testing at different stages of the development lifecycle
• Helping to implement a DevOps culture

What you'll need:

• At least 3 years’ experience as an Azure DevOps engineer
• Azure infrastructure configuration and management with at least AZ-900 certification
• Experience of designing and implementing CI/CD pipelines in Azure DevOps for web services and data products
• Scripting in Python, Bash and Powershell
• Experience with tools including Docker, Kubernetes
• Experience Azure Data Services - Data Factory, Synapse, Azure Databricks
• Experience using ARM and Terraform (Experience using Bicep an advantage)
• Experience Azure DevOps to deploy Azure Cloud Scale Analytics (Not essential)
• Problem-solving attitude
• Collaborative team spirit

Who you are:

You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.

You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.

You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.

What we'll give you:

Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.

Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.

Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?

About Mitsogo

Mitsogo is a global organization that highly values the contributions of each employee. Our ability to

attract top talent is a testament to our commitment to fostering a sense of belonging for everyone.

We recognize the rapid evolution of technology and society that impacts our industry, and we

prioritize equipping our employees with diverse opportunities and empowering them with a wide

range of skills.

About Hexnode

Hexnode, the Enterprise software division of Mitsogo Inc., was founded with a mission to simplify the

way people work. Operating in over 100 countries, Hexnode UEM empowers organizations in diverse

sectors. Fueling the transformation to a seamless ecosystem of connected tools, Hexnode is

revolutionizing the enterprise software and cybersecurity landscape.

Job Summary

We are looking for a highly skilled and motivated Presales Implementation Engineer

with experience in the Cybersecurity domain. The ideal candidate will have hands-on experience with

Mobile Device Management (MDM), Remote Monitoring and Management (RMM) tools, or Patch

Management solutions. As a Presales Implementation Engineer, you will play a pivotal role in

working with customers to understand their requirements, assisting in the presales process, and

ensuring smooth implementation of security solutions.

Key Responsibilities:

• Collaborate with sales and technical teams to understand customer requirements and

translate them into technical solutions.

• Conduct product demonstrations, proof-of-concept (POC) deployments, and solution

presentations for customers.

• Design and implement security solutions, including MDM, RMM, and Patch

Management tools, based on customer needs and business goals.

• Provide technical guidance and advice to clients during the presales cycle.

• Assist in creating and customizing proposals, responses to RFPs, and technical

documentation.

• Work closely with customers and internal teams to ensure successful deployments,

configurations, and implementations of cybersecurity products.

• Troubleshoot and resolve technical issues during presales and post-sales phases.

• Stay updated with the latest trends and advancements in the cybersecurity domain,

particularly related to MDM, RMM, and Patch Management.

• Support clients in managing and securing devices, networks, and endpoints.

• Maintain high levels of customer satisfaction by ensuring timely and efficient

implementation of solutions.

Required Skills & Qualifications:

• 2 -5 years of experience in the cybersecurity domain, with a focus on MDM (Mobile

Device Management), RMM (Remote Monitoring and Management), or Patch

Management tools.

• Strong understanding of security frameworks and protocols for device management,

remote monitoring, and patching.

• Experience with deploying, configuring, and supporting MDM solutions such as

AirWatch, MobileIron, or Microsoft Intune.

• Familiarity with RMM and Patch Management tools like Kaseya, ConnectWise, or

NinjaRMM.• Hands-on experience in presales activities, including customer engagements,

presentations, and demos.

• Strong communication skills with the ability to articulate complex technical concepts to

non-technical audiences.

• Ability to manage customer expectations, solve problems quickly, and work under

pressure.

• Basic understanding of network security, endpoint protection, and IT infrastructure.

• Bachelor’s degree in Computer Science, Information Technology, or related field

(preferred).

Desired Skills:

• Certifications such as CompTIA Security+, Certified Information Systems Security

Professional (CISSP), or any other relevant cybersecurity certifications.

• Experience in network security and endpoint management.

• Knowledge of cloud security concepts and technologies.

About us (Ensono)

Ensono is an expert technology adviser and managed service provider. As a relentless ally, we accelerate clients’ digital transformation to achieve business outcomes that stand to last. Our dedicated team helps organizations optimize today’s systems across any hybrid environment with services such as consulting, mainframe and application modernization, public cloud migration and cloud-native development. With certified experts in AWS, Azure and Google Cloud and recognized as Microsoft Datacenter Transformation Partner of the Year, Ensono has over 3500+ associates globally and is headquartered in greater Chicago.

We care about your success, offering comprehensive strategic and managed services for mission-critical applications. Our Advisory and Consulting services can help upfront with an application strategy or find the right places for your applications – whether it’s public, multi or hybrid cloud, or mainframe. And because we span across all mission-critical platforms, we can meet you wherever you are in your digital transformation journey, with 24/7 support when you need it. We are your relentless ally, flexing with you when challenges emerge so you don’t feel stuck in place. With cross-platform certifications and decades of experience, our technology experts become an extension of your team so you’re continuously innovating – doing more with less while remaining secure. And that’s just the beginning

Job Responsibilities:-

The primary role of the Mainframe System Security Engineer is to create, modify and maintain security access on internal and external userids and security rules access for mainframe systems. All three security products, ACF2, Top Secret and RACF are utilized for supporting mainframe system access. In addition, they will review security policies, procedures, standards, baselines and may recommend and coordinate security remediation plans involving the implementation of security solutions, both technology and procedures; while maintaining an understanding of security standards, policies and procedures.

Experience Level:

• Basic Knowledge of Security and good security best practices
• Looking for 5 to 6years of experience person in Mainframe Security packages RACF and ACF2.

Technical Key Skills (Mandatory Skills)

• Experience person in Mainframe Security packages RACF and ACF2.
• Hands-on administration of RACF and ACF2 login ID's, dataset and resource rules.
• Hands – on Experience in Mainframe Digital certificates.
• Monitor system security policy and violations/incidents
• Perform and review daily, weekly, and monthly audit reports 
• Liaison with business areas and other technical support areas 
• Provide customer support by preparing ad hoc reports and giving presentations 
• Monitors the environment for adherence to security standards 
• Must be available 24 x7
• ACF2, Top Secret, and iSeries security knowledge a plus
• Technical Skills:
• Excellent TSO, JCL, IBM UTILITIES, JES2, and ISPF a must 
• Experience with CICS preferred
• Experience using Vanguard security products is desired 

Good to have Skills

• Some MVS experience is a plus
• PC Skills (Microsoft Outlook, Word, Excel, PowerPoint) 
• Personal Skills:
  • Strong written and verbal communication skills.
  • Strong organizational skills with the ability to manage multiple concurrent project deliverables and the ability to work as a global team.
  • Ability to work on own initiatives.
  • Strong analytical skills and problem solving skills 
  • Must be an excellent team player with the ability to work independently in a fast paced environment 
  • Self starter, detailed oriented and ability to multi task 
  • Excellent Communication skills required 
  • Good written skills are required
• Education:
  • CISSP, CISA, CISM or ITIL Certification a plus
  • Bachelors or Masters Degree Preferred
  • Other mainframe security products a plus

Shift Timing:

1:30 PM to 10:30 PM AND 9:30 PM to 6:30 AM(Rotational Shift)

We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to caste, colour, creed, religion, gender, gender identity, sexual orientation, age, disability, HIV status, or any other status protected by law. Candidates with disabilities who require accommodations during the recruitment process are encouraged to contact our Talent Acquisition team to place a request.

Why we're hiring:

To help us scale and deliver solutions across our Data Mesh platform, we are looking for a DevOps engineer who can be responsible for the deployment of our data solutions using Azure DevOps. Automation is at the core of our solutions, which spans our development, testing and production infrastructures. A focus on balancing agility, low maintenance and security is critical.

The ideal candidate will have a solid background in DevOps engineering for a large company and be highly experienced with Azure DevOps Pipelines to deploy both IaC and solutions. You’ll be working closely with our Software & Data Engineering teams - from the first lines of code being committed to it being deployed into production.

The DevOps engineer will also help design & plan projects and be involved in project execution decisions.

What you'll be doing:

• Build CI/CD process to increase release efficiency and reduce occurrence of errors.
• Develop software to integrate with internal backend systems
• Perform root cause analysis of deployment errors and provide future mitigation of those errors
• Communicate to both technical and non-technical stakeholders
• Cloud deployment and management
• CI/CD management and deployment
• Performance assessment, monitoring and recommending performance enhancements
• Infrastructure management using IaC
• Continuous testing at different stages of the development lifecycle
• Helping to implement a DevOps culture

What you'll need:

• At least 3 years’ experience as an Azure DevOps engineer
• Azure infrastructure configuration and management with at least AZ-900 certification
• Experience of designing and implementing CI/CD pipelines in Azure DevOps for web services and data products
• Scripting in Python, Bash and Powershell
• Experience with tools including Docker, Kubernetes
• Experience Azure Data Services - Data Factory, Synapse, Azure Databricks
• Experience using ARM and Terraform (Experience using Bicep an advantage)
• Experience Azure DevOps to deploy Azure Cloud Scale Analytics (Not essential)
• Problem-solving attitude
• Collaborative team spirit  

Who you are:

You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.

You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.

You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.

What we'll give you:

Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.

Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.

Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?

#LI-Hybrid 

Required Skills and Experience:

• 7+ years of experience in network engineering roles
• Relevant experience or certification (e.g. CCNP or JNCIP Data centre, Enterprise or Service provider)
• Strong knowledge of BGP, OSPF, routing policies, and network troubleshooting
• Strong understanding of TCP/IP, DNS, NAT, routing, switching, and load balancing
• Hands-on experience with Cisco networking platforms
• Ability to troubleshoot layer 2 (ARP and MAC address tables as well as LACP and MC-LAG)
• Ability to troubleshoot DNS problems
• Experience with common network cabling
• Kubernetes CNI (Calico, Cilium)
• Cloud & Hybrid Networking
• Experience with hybrid cloud networking including site-to-site VPNs and private connectivity (AWS Direct Connect, GCP Interconnect)
• Understanding of cloud-native networking services (VPC, Transit Gateway, Cloud Router)
• Automation & Infrastructure-as-Code
• Working knowledge of Terraform for network infrastructure provisioning
• Experience with configuration management tools (Ansible, or similar)
• Observability & Operations
• Experience implementing network monitoring and alerting systems
• Understanding of network performance metrics and logging
• Ability to create and maintain runbooks and documentation
• Security
• Experience implementing network security controls and segmentation
• Understanding of firewall management and security policies
• Familiarity with network access control concepts

Preferred skills:

• EVPN
• Experience with IPv6 rollout
• Juniper specific knowledge and experience
• Linux CLI

 Job Summary

We are seeking a highly motivated QA Automation Engineer to design, develop, and maintain automated testing frameworks while ensuring the quality of SaaS and eCommerce applications.

The role requires strong expertise in Salesforce and SAP systems, hands-on experience with automation tools, and a solid understanding of end-to-end business workflows. The ideal candidate is proactive, detail-oriented, and collaborative, with a focus on continuous improvement in an Agile environment.

What You'll do:

Automation & Test Execution

• Develop and maintain automated test scripts using Selenium, Playwright, or APEX.
• Design scalable automation frameworks for Salesforce and SAP integrations.
• Create and execute test cases including functional, regression, sanity, smoke, and exploratory testing.
• Identify automation opportunities to improve efficiency and reduce manual effort.

E-Commerce & Integration Testing

• Perform end-to-end testing across Salesforce (Sales, Service, Commerce Cloud) and SAP (FICO, BRIM, MM, GRC).
• Validate eCommerce workflows: product catalog, search, cart, checkout, pricing, promotions, and order management.
• Test integrations between Salesforce, SAP, and external systems (e.g., payment gateways).
• Ensure accurate data flow and business process validation across systems.

API, Performance & CI/CD

• Design and maintain API test automation for REST services using Postman/SOAP UI.
• Execute performance testing using JMeter or LoadRunner.
• Integrate automated test suites into CI/CD pipelines (Jenkins, GitLab CI/CD).

Defect Management & Quality Assurance

• Identify, log, track, and retest defects to ensure timely resolution.
• Perform production smoke testing post-deployment to ensure system stability.
• Maintain test suites (Smoke, Sanity, Regression) for optimal coverage.

Agile Collaboration & Test Management

• Participate in Agile ceremonies (Sprint Planning, Stand-ups, Grooming).
• Collaborate with developers, product owners, and stakeholders for requirement clarity and testability.
• Maintain test data, ensure environment readiness, and keep Jira updated with accurate statuses and comments.

Continuous Improvement & Mentorship

• Continuously improve testing processes, tools, and frameworks.
• Maintain clear documentation of test strategies and execution.
• Mentor team members and promote automation best practices.

Technical Skills

• Strong programming skills in Java or Python.
• Proficiency in JavaScript/TypeScript.
• Experience with Selenium, Playwright (preferred), and APEX.
• Expertise in API testing and performance testing tools.

Integration & Tools

• Strong understanding of SaaS applications and end-to-end integration testing.
• Experience with CI/CD tools (Jenkins, GitLab CI/CD) and version control (Git).
• Experience with Jira or similar tools.

What you bring:

Experience: Proven experience as a Test Automation Engineer or similar role with
hands-on experience in automated testing of Salesforce / SAP systems.

Technical Skills:

• Proficiency in modern web technologies (JavaScript/TypeScript).
• Strong programming skills in Java/ Python
• Hands-on experience with testing tools like Selenium, Playwright, APEX
• Good to have experience in Playwright.
• Expertise in API testing tools (Postman, SOAP UI) and performance testing (JMeter, LoadRunner).
• Integration Testing: Familiarity with SaaS applications and full-stack integration testing.

Tools & Platforms:

• Experience with CI/CD tools (Jenkins, GitLab CI/CD, CircleCI).
• Knowledge of version control systems like Git
• Preferred Qualifications:
• Familiarity with Agile/Scrum methodologies.
• Experience working in B2B SAAS Company.
• Expertise in security testing methodologies.

#LI-VG1

#LI-Hybrid

Who We Are

At Platform Science, we’re working to connect everything that moves.

Founded in 2015, we are an open IoT platform that partners with innovative fleets, application developers, vehicle manufacturers, and equipment providers in the transportation industry to deliver revolutionary solutions to supply chain professionals across the globe.

Our employees are an engaging, diverse group of people who believe in the power of great ideas. We hire people with different experiences and perspectives to build a company culture that fuels growth through innovation.

We value thoughtful actions and empathy for others. We approach challenges with resiliency and creativity, while encouraging transparency because, no matter our backgrounds or responsibilities, we are one team.

About the Role

Platform Science is looking for a Lead Software Engineer with deep expertise in cloud-native full-stack development to join our dynamic team in Chennai. In this leadership role, you will be responsible for designing and deploying robust, scalable software for our high-velocity fleet management solutions. You will serve as a technical anchor, collaborating with cross-functional teams to deliver innovative technical solutions while ensuring the highest standards of software engineering principles and best practices.

Essential Responsibilities

• Architectural Leadership: Architect and implement scalable, secure, and performant solutions using modern web and backend technologies, including microfrontend architectures for modular applications.

• Full-Stack Development: Produce clean, maintainable, and well-documented code using React, Node.js, and NoSQL databases; conduct thorough code reviews to maintain technical excellence.

• System Integration: Collaborate with teams to integrate third-party services, APIs, and data sources, ensuring seamless interoperability and robust authentication/authorization mechanisms.

• Mentorship & Coaching: Lead and mentor team members on technical design, coding standards, and professional development, fostering a culture of accountability and collaboration.

• Optimization & Performance: Troubleshoot and debug complex issues to guarantee optimal application performance and cross-device/browser compatibility.

• Strategic Growth: Stay current with emerging technologies and best practices to drive the technical roadmap for web and backend development.

Experience

Required Experience

• 8+ years of professional software development experience, including at least 2+ years in senior technical or leadership roles.

• Strong expertise in full-stack development with React.js, Node.js, and API development.

• Proven ability to architect and design scalable, distributed, cloud-native systems (AWS, Azure, or GCP).

• Solid understanding of microservices architecture, containerization (Docker), and orchestration (Kubernetes).

• Expertise in event-driven integration patterns (pub/sub messaging, event-driven microservices communication).

• Hands-on experience with NoSQL databases such as ElasticSearch, MongoDB, or Firestore.

• Education: Bachelor’s degree in Computer Science, Software Engineering, or a related field.

Nice to Have

• Experience with frontend build tools (Webpack) and state management (Redux).

• Familiarity with UI frameworks like Material UI or Bootstrap.

• Advanced knowledge of data structures, algorithms, and complex system design.

Traits of a Successful Candidate

• Technical Mentor: Passionate about driving technical excellence and fostering a collaborative, knowledge-sharing environment.

• Problem Solver: Deep technical knowledge and the ability to debug complex, distributed software systems.

• Innovative Mindset: Proactive in identifying and adopting new frameworks and tools to optimize development workflows.

• Strong Communicator: Ability to translate complex requirements into technical specifications for cross-functional stakeholders.

Benefits & Legal

The company offers various benefits to regular, full-time employees including:

• Provident fund and gratuity in accordance with applicable laws.

• Paid vacation, sick leave and holidays, in accordance with applicable laws.

• Twenty-Six weeks of paid maternity leave.

Please note: The compensation details listed in India role postings reflect the base salary only, and do not include bonus, equity, or benefits.

Platform Science collects your personal information to support its business operations. You can review further details in our Privacy Policy.

Platform Science is an equal opportunity employer. All applicants will be considered for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

About the Role

Platform Science is looking for a Lead Software Engineer with expertise in cloud-native full-stack development (React, Node, NoSql, AWS/Azure) to join our dynamic team in Chennai. You will be instrumental in designing, developing, and deploying robust, scalable, and high-performance software for high-velocity fleet management solutions. You will collaborate with full stack teams to gather requirements, deliver technical solutions, and ensure the successful delivery of projects with an innovative mindset. This role requires deep technical knowledge, exceptional problem-solving abilities, and a strong understanding of software engineering principles and best practices.

You report to the Software Development Manager (implied reporting structure based on template).

Essential Responsibilities

• Architect and implement scalable, secure, and performant solutions using modern web and backend technologies.

• Collaborate with cross-functional teams to integrate third-party services, APIs, and data sources, ensuring seamless interoperability.

• Design and implement micro-frontend architectures for modular applications and robust authentication/authorization mechanisms.

• Produce clean, maintainable, and well-documented code, and mentor and coach team members on technical design and coding standards.

• Stay current with emerging technologies and best practices in web and backend development, troubleshooting and debugging issues for optimal application performance.

Experience

Required experience

• 8+ years of professional software development experience, including 2+ years in senior technical or leadership roles.

• Strong expertise in full stack development with React.js, Node.js, and API development.

• Solid understanding of microservices architecture, containerization (Docker), and orchestration (Kubernetes).

• Expertise in event-driven integration patterns (e.g., pub/sub messaging).

• Proven ability to architect and design scalable, distributed, cloud-native systems (AWS/Azure or GCP).

• Proficiency with JavaScript, Redux, Webpack, and UI frameworks (Material UI, Bootstrap).

• Hands-on experience with NoSQL databases such as ElasticSearch, MongoDB, or Firestore.

Other Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or related field.

• Strong grasp of software engineering principles, design patterns, data structures, and algorithms.

• Demonstrated leadership skills in mentoring engineers, driving technical excellence, and fostering a culture of collaboration and accountability.

• Excellent oral and written communication skills (implied requirement).

• Passion and willingness to learn new technologies (implied requirement).

The company offers various benefits to regular, full-time employees including:

• Provident fund and gratuity in accordance with applicable laws.

• Paid vacation, sick leave and holidays, in accordance with applicable laws.

• Twenty-Six weeks of paid maternity leave.

Please note that the compensation details listed in India role postings reflect the base salary only, and do not include bonus, equity, or benefits. Platform Science collects your personal information to support its business operations, including for human resources, employment, benefits administration, health and safety, and other business-related purposes as well as to be in legal compliance. You can review further details of such collection and use in our Privacy Policy (link for browser: https://www.platformscience.com/privacy-notice). Please note: This document is a description of a potential position with our company. Nothing within this document may be construed as an offer for employment or a promise of benefit or remuneration. Further, any representation made within this document is subject to the laws and restrictions of the jurisdiction where employment may be deemed to occur. The parameters and availability of this position are subject to change and based solely within the discretion of the company. In addition, the duties, responsibilities, and scope of this position may not be fully represented in this description or may change as required by the Company. Platform Science is an equal opportunity employer. All applicants will be considered for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

Who We Are

At Platform Science, we’re working to connect everything that moves.

Founded in 2015, we are an open IoT platform that partners with innovative fleets, application developers, vehicle manufacturers, and equipment providers in the transportation industry to deliver revolutionary solutions to supply chain professionals across the globe.

Our employees are an engaging, diverse group of people who believe in the power of great ideas. We hire people with different experiences and perspectives to build a company culture that fuels growth through innovation.

We value thoughtful actions and empathy for others. We approach challenges with resiliency and creativity, while encouraging transparency because, no matter our backgrounds or responsibilities, we are one team.

About the Role

Platform Science is looking for a highly skilled Senior Software Engineer with expertise in cloud-native full-stack development (GCP, React, Node.js, NoSQL) to join our dynamic team in Chennai. In this role, you will play a key part in designing, developing, and deploying robust, scalable, and high-performance software for our high-velocity fleet management solutions. You will collaborate with cross-functional teams to gather requirements, deliver technical solutions, foster an innovative mindset, and ensure the successful delivery of projects. This position demands deep technical knowledge and a strong understanding of software engineering principles and best practices.

The role reports to the Software Development Manager (as implied by the template structure for engineering roles).

Essential Responsibilities

• Design, develop, and deploy scalable and maintainable solutions using modern web technologies, including React.js for the front-end and Node.js for the backend.

• Implement micro-frontend architectures and use techniques like Module Federation to modularize and integrate large-scale applications.

• Utilize event-driven architecture and message queuing systems to handle asynchronous processes and complex workflows.

• Collaborate with cross-functional teams to integrate with third-party services, APIs, and data sources, ensuring seamless interoperability.

• Mentor and coach team members, providing guidance on technical design, coding standards, best practices, and professional development.

Experience

Required experience

• 4+ years of professional experience in software development, with a focus on React.js, Node.js (or similar frameworks), and API development.

• Proficiency in React.js and Node.js or similar frameworks.

• Strong understanding of NoSQL databases (e.g., ElasticSearch, MongoDB, Firestore).

• Expertise in event-driven integration patterns (pub/sub messaging) and solid understanding of microservices architecture (e.g., Docker, Kubernetes).

• Proficiency with React state management libraries (e.g., Redux) and front-end build tools (e.g., Webpack).

• Demonstrated ability to lead and mentor a team of software engineers.

• Experience in working on scalable, distributed systems with a cloud-based architecture (preferably GCP).

Other Requirements

• In-depth knowledge of JavaScript, CSS, HTML, and front-end languages.

• Experience working with Material UI or Bootstrap.

• Strong understanding of software engineering principles, design patterns, data structures, and algorithms.

• Excellent communication and collaboration skills to work effectively with stakeholders.

Other Requirements

• Excellent problem-solving skills, with the ability to analyze complex technical challenges and develop innovative solutions.

• Continuous learning mindset and a strong willingness to explore and adopt new technologies.

• Self-starter, Ability to work well in a small team with good communication skills.

• You are a strong team player but are able to work independently.

   

• You are dedicated to delivering high quality and performant solutions.

   

• You are eager to learn new things, you take ownership and want to get things done.

   

The company offers various benefits to regular, full-time employees including:

• Provident fund and gratuity in accordance with applicable laws.

• Paid vacation, sick leave and holidays, in accordance with applicable laws.

• Twenty-Six weeks of paid maternity leave.

Please note that the compensation details listed in India role postings reflect the base salary only, and do not include bonus, equity, or benefits. Platform Science collects your personal information to support its business operations, including for human resources, employment, benefits administration, health and safety, and other business-related purposes as well as to be in legal compliance. You can review further details of such collection and use in our Privacy Policy (link for browser: https://www.platformscience.com/privacy-notice). Please note: This document is a description of a potential position with our company. Nothing within this document may be construed as an offer for employment or a promise of benefit or remuneration. Further, any representation made within this document is subject to the laws and restrictions of the jurisdiction where employment may be deemed to occur. The parameters and availability of this position are subject to change and based solely within the discretion of the company. In addition, the duties, responsibilities, and scope of this position may not be fully represented in this description or may change as required by the Company. Platform Science is an equal opportunity employer. All applicants will be considered for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide.

Living our values every day results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves.

Our Global Voice Team is looking for a committed, experienced Software Engineer II who is passionate about creating high-performing, scalable, and resilient mission-critical services that form the foundation of Five9’s next-generation contact center platform. You will have the opportunity to combine your existing expertise with new learnings, crafting bespoke solutions that serve our customers and partners.

Responsibilities:

• Participate in an Agile Scrum team that practices DevOps.
• Write clean, well-documented code and corresponding tests.
• Deliver your code as part of an overall solution running in the public cloud.
• Develop and enhance our Media Server to support real-time integrations with Large Language Models (LLMs) and other AI services.

Required Skills:

• 3+ years of professional experience in software development, including experience in C and/or C++.
• Hands-on experience developing software for real-time communications signaling and media protocols (e.g., SIP, RTP).
• Ability to methodically troubleshoot complex systems.
• Excellent communication and organizational skills, with a strong sense of ownership.

Technical Skills:

• Modern C++ (C++17+)
• RTP/SIP, audio codecs, SIP/SDP
• ASR/TTS integration
• AI APIs
• Cloud platforms (AWS, Azure, GCP)
• CI/CD
• Containers
• Site Reliability Engineering (SRE) principles
• AI/ML and Large Language Models (LLMs)

About Druva :

You won’t just join a company at Druva, you’ll help shape the future of data security at the moment it matters most. We are building a modern standard with our cloud-native solutions, designed to simplify the toughest challenges in cyber resilience for our customers. As the pioneer and market leader in fully managed SaaS data protection, we help organizations secure and recover their data from ransomware, cyberattacks, and operational disruptions without the complexity, cost, or risk of legacy infrastructure.

Our momentum is backed by the market: Druva was named a Leader in the 2025 Gartner® Magic Quadrant™ for Backup and Data Protection Platforms, a Leader in the 2025 IDC MarketScape for Cyber-Recovery, and a Leader & Outperformer in the 2025 GigaOm Cloud Data Protection Radar. Even better, customers validate that leadership every day through strong Gartner Peer Insights ratings, standout Net Promoter Scores (NPS), and top willingness-to-recommend results.

Visit druva.com and follow us on LinkedIn, X and Facebook.

Location: Chennai, India

Druva, the autonomous data security company, puts data security on autopilot with a 100% SaaS, fully managed platform to secure and recover data from all threats. The Druva Data Security Cloud ensures the availability, confidentiality, and fidelity of data - providing customers with autonomous protection, rapid incident response, and guaranteed data recovery. The company is trusted by its more than 6,000 customers, including 65 of the Fortune 500, to defend business data in today’s ever-connected world. Amidst a rapidly evolving security landscape, Druva offers a $10 million Data Resiliency Guarantee ensuring customer data is protected and secured against every cyber threat. Visit druva.com and follow us on LinkedIn, X and Facebook.

Druva is hiring an exceptional  Account Executive for the Mid-Market segment in India, responsible for building the sales pipeline, and closing business within the defined sales territory for both existing and new customers. The role will report directly to the Country Manager, India & SAARC.

The ideal candidate should be a highly motivated self-starter who enjoys both the challenges and rewards associated with a successful scale-up company. The ideal candidate will be detail oriented, process driven, and consultative in their sales approach. You should have a consistent track record of success in achieving new customer acquisition, managing incremental revenue bookings from both existing and new customers, as well as working with national and regional channel partners. In addition you should be comfortable selling a solution and technologies within a SaaS scale-up environment to IT contacts at a variety of levels within an organization.

Responsibilities:

• Manage sales in the assigned territory (hybrid role; existing customers and new business)
• Execute on the full sales cycle end to end at Mid-Market accounts, from initial contact to point of sale.
• Work closely with counterparts in Renewals to ensure Druva customer subscription renewals and to avoid churn and downsell in existing customers
• Support and work with channel partners to scale sales reach in the region. Includes resellers and distributors.
• Establish awareness of Druva’s solution, generate leads, communicate the value proposition, and close deals in the region.
• Deliver awe-inspiring product presentations and demos, provide timely and insightful responses to customer queries, and recommend creative ways Druva can solve business problems.
• Attain a deep understanding of Druva’s solutions and its competitive positioning in the market. Be a subject matter expert.
• Lead creation of proposals and responses to RFIs/RFPs working in conjunction with the Solution Engineer.
• Reporting: Maintain a complete and timely report of the regional pipeline in the assigned territory.
• Prepare, communicate, and execute to a thorough business plan.
• Meet or exceed revenue quota.

Qualifications:

• 5+  years of software sales experience (Backup or SaaS experience a plus)
• Experienced  in  selling into the IT organizations of Mid-Market customers in India.  We will want to see strong and consistent earnings background
• Experience managing and selling through a channel.
• Strong technical acumen
• Willingness to travel up to 30%, mostly domestic..
• Fluency in English
• College degree from a top-tier university (Masters or MBA a plus)

Personal Attributes:

• Entrepreneurial spirit: passionate about joining a scale-up, adaptable to changing situations
• Technologist: understand the problems faced by today's IT organizations and how to apply current technologies to solve them
• Self-starter: take responsibility and do what it takes to get the job done with minimal direction
• Team Player: build relationships across Druva’s regional and global organization, sharing and learning from others
• Organized:  lead complex efforts and initiatives, breaking them down into tasks, and clearly communicate progress
• Pragmatic: analyze trade-offs and prioritize tasks in order to achieve important objectives
• High professional standards: a commitment to individual and organizational excellence
• Excellent verbal and written communications skills: succinctly and clearly communicate with customers, peers, and management

Qualifications & Skills 

• Understand omni channel communication technologies and their role in the contact center 

• 2+ years of experience as a product support engineer 

• Good listening and comprehension skills 

• Quick on your feet while consultatively working with the end customer to implement the solution 

• A natural ability to dig in and resolve technical issues in structured manner 

• Have a commitment to excellence in taking care of our customers and expect the same from others 

• Windows operating systems, MS SQL, IIS 

• Hands-on experience on log analysis and troubleshooting 

• Familiarity with IP Networking, SQL, REST APIs, and Linux 

• Experience working with one or more contact center software suites such as Cisco UCCE, Amazon Connect, NICE inContact, Twilio, Avaya, or Genesys 

• Previous experience with outbound contact center products is a plus. 

Key Skills 

• Contact Center Outbound 

• API 

• Linux 

• SQL 

• AWS  

Shift: Night Shift 
Work mode: Work from office 

About Five9

Five9 is a global leader in cloud software for the enterprise contact center market, powering billions of customer interactions annually. Since 2001, Five9 has been at the forefront of the cloud revolution, helping organizations deliver exceptional customer experiences, improve productivity, and achieve measurable business outcomes.

We are expanding our engineering and delivery teams in Bangalore and are seeking passionate professionals to help design, implement, and scale Five9’s next-generation cloud-native services.

Technical Support Engineer: 

Qualifications & Skills

· Understand omni-channel communication technologies and their role in the contact center

· 2+ years of experience as a product support engineer

· Good listening and comprehension skills

· Quick on your feet while consultatively working with the end customer to implement the solution

· A natural ability to dig in and resolve technical issues in structured manner

· Have a commitment to excellence in taking care of our customers and expect the same from others

· Windows operating systems, MS SQL, IIS

· Hands-on experience on log analysis and troubleshooting

· Familiarity with IP Networking, SQL, REST APIs, and Linux

· Experience working with one or more contact center software suites such as Cisco UCCE, Amazon Connect, NICE inContact, Twilio, Avaya, or Genesys

· Previous experience with outbound contact center products is a plus.

Key Skills

· Contact Center Outbound

· API

· Linux

· SQL

· AWS

Shift: Night Shift
Work mode: Work from office

Why Five9

At Five9, we believe that technology is only as powerful as the people behind it. You’ll be part of a team that values collaboration, innovation, and accountability, and you’ll have the opportunity to make a meaningful impact on how global enterprises engage with their customers.

Role: GenAI Lead Engineer

Experience: 8+ years total (with significant hands-on GenAI / LLM work)

Job Overview:

We are seeking an innovative and highly skilled Lead Generative AI (GenAI) Engineer to spearhead the design, development, and deployment of advanced AI-powered solutions. In this role, you will lead a team of engineers and data scientists to harness cutting-edge Generative AI technologies and implement them to solve complex business problems, enhance user experiences, and drive innovation. This role combines deep technical expertise, leadership, and a strong understanding of AI trends and tools.

Key Responsibilities:

• Technical Leadership:
• Lead the end-to-end design and implementation of Generative AI solutions.
• Provide technical guidance and mentorship to engineers and data scientists working on GenAI projects.
• Stay updated with the latest trends, research, and advancements in Generative AI and Large Language Models (LLMs).
• Solution Development:
• Architect, train, and fine-tune state-of-the-art LLMs and generative AI models
• Develop and optimize pipelines for prompt engineering, retrieval-augmented generation (RAG), and domain-specific fine-tuning.
• Develop and deploy generative AI models, particularly focusing on ChatGPT, using Python on Azure or AWS Platform or .Net on Azure platform
• Ensure scalability, performance, and security of AI solutions deployed in production.
• Integration and Deployment:
• API Development: Ability to define and deliver API access for GenAI services, facilitating integration with other systems and applications.
• Collaborate with software engineering teams to integrate GenAI solutions into enterprise applications and services.
• Utilize cloud platforms (e.g., Azure, AWS, or GCP) to deploy and manage AI models and APIs.
• Leverage MLOps practices for continuous model monitoring, retraining, and improvement.
• Data Strategy and Preparation:
• Collaborate with data engineering teams to ensure high-quality data acquisition, preprocessing, and augmentation for model training and fine-tuning.
• Implement data governance and privacy practices in line with organizational policies.
• Innovation and Research:
• Experiment with new generative AI techniques, such as multimodal AI, reinforcement learning with human feedback (RLHF), and active learning.
• Evaluate and recommend AI frameworks, libraries, and platforms for project requirements.
• Stakeholder Collaboration:
• Work closely with product managers, business stakeholders, and UX designers to define AI-powered product features and use cases.
• Present technical concepts, project progress, and AI capabilities to non-technical audiences.

Key Requirements

• Technical Skills:
• Hands-on experience with cloud platforms and services for AI/ML, such as Azure AI Services, Azure Machine Learning, AWS Bedrock, or Google Vertex AI.
• Hands on experience in any of LLMs such as OpenAI’s ChatGPT Models , Gemini, Llama 2 ,Claude 2 ,Grok
• Hands on experience in any of the agentic frameworks like LangChain, Semantic kernel, AutoGen, CrewAi
• Hands on experience using any of vector database like Chroma, Pinecone, Weaviate, Faiss
• Experience with multimodal AI and advanced techniques like Tree-of-Thoughts, Retrieval-Augmented Generation (RAG), or Reinforcement Learning with Human Feedback (RLHF)
• Strong expertise in LLMs and generative AI frameworks like OpenAI, Hugging Face Transformers, or similar platforms.
• Deep understanding of natural language processing (NLP) concepts, including tokenization, embeddings, and sequence-to-sequence models.
• Proficiency in Python and libraries such as TensorFlow, PyTorch, and Scikit-learn.
• Experience in CI/CD pipeline management and automation tools, particularly within the Azure DevOps environment. Knowledge of containerization (e.g., Docker) and orchestration tools is also important
• Familiarity with MLOps tools and practices, such as MLflow, Kubeflow, or Docker.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (Ph.D. preferred).
• 8+ years of experience in AI/ML engineering, with 2+ years specifically in Generative AI.
• Minimum of 2 years of experience in building Conversational AI applications using cloud-based services and in orchestrating AI/ML services for building a complete solution
• Minimum of 6 years of extensive full-time experience in Data Analysis, Statistics, Machine Learning, or Computer Science
• Proven track record of leading AI projects from inception to production.
• Experience with multimodal AI and advanced techniques like Tree-of-Thoughts, Retrieval-Augmented Generation (RAG), or Reinforcement Learning with Human Feedback (RLHF).
• Certifications in AI/ML or cloud platforms (e.g., Azure AI Engineer, AWS Certified Machine Learning).

Role Overview:

We are looking for a hands-on Product Architect / Engineer to design and build an AI-driven operations platform focused on intelligent automation, insights, and optimization across cloud, network, and application operations.This role blends product thinking, architecture, and deep engineering across AI/ML and Agentic AI systems.

Key Responsibilities:

• Architect and build the agentic AI platform leveraging AI, ML, and Agentic AI frameworks
• Design multi-agent systems for use cases for operations domains like Cloud Ops, NetworkOps, ServiceDesk, root cause analysis, anomaly detection, and predictive insights
• Develop data pipelines and telemetry fabric for ingesting and processing large-scale operational data (logs, metrics, traces, topology)
• Build and integrate LLM-powered copilots and autonomous agents for operations 
• Define product architecture, including microservices, APIs, event-driven systems, and scalable cloud-native patterns
• Translate business needs into AI-driven product features and accelerators
• Collaborate with product, operations, and engineering teams to deliver end-to-end capabilities

Key Skills:

• Strong experience in product architecture and full-stack engineering
• Hands-on expertise in:
• AI/ML (model development, inference, MLOps)
• LLMs and Agentic AI frameworks (multi-agent orchestration, reasoning systems)
• Data engineering (streaming, batch, real-time analytics)
• Proficiency in Python and modern frameworks
• Experience with cloud platforms (AWS, Azure) and cloud-native architecture
• Agent framework experience – Microsoft agent framework, langgraph and langchain.
• Strong understanding of:
• Observability systems (logs, metrics, traces)
• AIOps / IT operations platforms
• API design and microservices architecture
• Familiarity with vector databases, embeddings, RAG architectures, and knowledge graphs

Good to Have:

• Experience building autonomous AI agents for IT/network/application operations
• Exposure to FinOps, Cloud Cost Optimization,
• Knowledge of network topology, infrastructure ops, or ITSM tools
• Experience with real-time decisioning systems and event correlation engines

Mission

Speechify is the easiest way to listen to the world’s information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster.

What streaming services have done for audio entertainment, we’re doing for audio information. And whatever we’re doing seems to be working. We’re #1 in our category, and experiencing exponential growth.

Overview

We're looking for a Senior Software Engineer to join our Core Experiences Team. This team builds and maintains the foundational services and SDKs that power Speechify’s product experience across platforms. It's a critical role for someone who enjoys working at the intersection of product and infrastructure, thinks strategically, and is passionate about designing clear, reliable APIs and simple systems that directly enhance the user experience.

What You’ll Do

• Collaborate with Speechify’s Product Teams to scope projects, find ways to reduce scope to get faster feedback from customers, navigate the integration/UX tradeoffs relevant to different product teams, and deliver solutions via our cross-platform SDK
• Optimize existing functionality to ship things like faster loading and more intelligent parsing by designing more efficient abstractions and improving our algorithms
• Ship cloud functions, lightweight backend services, and jobs using Kotlin

An Ideal Candidate Should Have

• Systems thinking. You know that optimizing a system requires end-to-end design, and you believe simplicity is valuable.
• Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time
• Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
• Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs
• Preferred Tech Stack:
  • Kotlin Multiplatform (Java experience is OK but role is Kotlin Multiplatform) 
  • Prior experience with GCP is a plus

What We Offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Role Overview

As the most senior Individual Contributor (IC) in our Chennai office, you will serve as the site’s Technical North Star and strategic engineering partner. Reporting directly to the VP of Engineering, you are the steward of our technical excellence, responsible for defining high-level architectural direction and maintaining a world-class engineering bar across all local domains.

This is a force multiplier role. You are not just a lead developer; you are the person who ensures our regional engineering efforts align with global business goals. You will provide the technical cohesion necessary to build scalable, secure, and and operationally elite systems while mentoring the next generation of high-level individual contributors.

Key Responsibilities

• Architectural Stewardship: Own the high-level technical roadmap for the Chennai site. Lead the transition of core engines and large-scale monoliths into modern, distributed, cloud-native ecosystems.

• Engineering Standards: Drive site-wide quality through rigorous design reviews and the establishment of technical tenets that prioritize long-term system health over short-term delivery.

• AI-First Evolution: Design and implement automation-led architectures and AI-integrated workflows to enhance both engineering velocity and product intelligence.

• Principal Mentorship: Act as the primary mentor for Staff and Principal-level ICs, guiding them through complex system trade-offs and career growth toward organizational leadership.

• Strategic Advisory: Partner with the VP of Engineering to identify technical risks, bridge platform gaps, and ensure the Chennai office operates as a global center of innovation.

• Cross-Domain Cohesion: Facilitate technical councils and RFC processes to ensure architectural consistency and knowledge sharing across disparate product teams.

Required Experience & Skills

• 15+ Years of Systems Engineering: A deep history of designing, deploying, and maintaining high-traffic, large-scale software systems.

• Organizational Influence: Proven ability to shift the technical trajectory of multiple teams or business units without direct reporting authority.

• Architectural Mastery: Expert-level knowledge of distributed systems, cloud-native patterns, and microservices at global scale.

• Systems Thinking: An "automation-first" mindset with experience integrating AI/ML or advanced CI/CD into the core development lifecycle.

• Data-Driven Leadership: Ability to drive consensus among senior stakeholders using objective architectural principles and technical merit.

Preferred Qualifications

• Global Scale Experience: Previous experience operating at a Staff+ or Principal level within a global engineering organization, impacting multi-region infrastructures.

• Modernization Track Record: Demonstrated success in re-architecting legacy core engines into high-performance, modular platforms.

• Technical Community Leader: Experience building internal engineering cultures, from hosting deep-dive sessions to formalizing site-wide RFC standards.

Company Overview

At Zuora, we do Modern Business. We’re helping people subscribe to new ways of doing business that are better for people, companies and ultimately the planet. It’s an approach resulting from the shift to the Subscription Economy that puts customers first by building recurring relationships instead of one-time product sales and focuses on sustainable growth. Through our leading expertise and multi-product suite, we are transforming all industries and working with the world’s most innovative companies to monetize new business models, nurture subscriber relationships and optimize their digital experiences.

The Team & Role

Here at Zuora, we pride ourselves on having the best customers, the most impressive investors, the most comprehensive ecosystem, and the only true SaaS-based application leading the Subscription Economy. This is your chance to get in on the ground floor with a company poised for continued success and set on a trajectory for rapid growth.

Are you passionate about solving complex business problems with cutting-edge technologies? Do you want to design scalable, reusable solutions that address wide-ranging business requirements and build mission-critical SaaS systems used by large Enterprise companies worldwide? If you are inspired by Zuora’s role in powering the Subscription Economy®, we invite you to join our engineering team.

This is a location specific position that requires you to come into the Chennai office regularly to be most effective. 

What you’ll do

• Responsible for the entire lifecycle of projects or features including engineering design, development, review and deployment.
• Providing technical oversight to improve execution and system robustness alignmenting with long-term technical strategy. 
• Define optimized data models, leverage in-memory processing, and ensure systems can handle large-scale enterprise transaction volumes with low-latency APIs.
• Write, co-write, and review technical design documentation.
• Coach and mentor engineers, fostering technical growth and ensuring consistent high-quality delivery.

Your experience

• Bachelor’s or higher degree in Computer Science, Software Engineering, or a closely related field.
• Minimum of 5 years in software engineering with at least 5 years each in the following areas:
• Developing and delivering enterprise SaaS software at scale.
• Designing, building, and maintaining billing and subscription management software.
• Hands-on development with Java, MySQL, Spring Framework, Hibernate, Apache Flink, Apache Hudi, Clickhouse and cloud technologies.
• Proven expertise in designing and building scalable, distributed, high-performance systems in large enterprise environments.
• Strong system design skills, with demonstrated success guiding teams through complex technical decisions.
• Excellent problem-solving ability, with strong analytical skills to translate complex business requirements into scalable solutions.
• A passion for mentorship, knowledge sharing, and helping teams grow.

Nice to haves:

• Knowledge and experience in the CRM or Billing domain or ERP Finance/Accounting software

#ZEOLife at Zuora

As an industry pioneer, our work is constantly evolving and challenging us in new ways that require us to think differently, iterate often and learn constantly—it’s exciting. Our people, whom we refer to as “ZEOs" are empowered to take on a mindset of ownership and make a bigger impact here. Our teams collaborate deeply, exchange different ideas openly and together we’re making what’s next possible for our customers, community and the world. 

As part of our commitment to building an inclusive, high-performance culture where ZEOs feel inspired, connected and valued, we support ZEOs with:

• Competitive compensation, variable bonus and performance reward opportunities, and retirement programs
• Medical, dental and vision insurance
• Generous, flexible time off 
• Paid holidays, “wellness” days and company wide end of year break
• 6 months fully paid parental leave 
• Learning & Development stipend
• Opportunities to volunteer and give back, including charitable donation match
• Free resources and support for your mental wellbeing  

Specific benefits offerings may vary by country and can be viewed in more detail during your interview process.

Location & Work Arrangements

Organizations and teams at Zuora are empowered to design efficient and flexible ways of working, being intentional about scheduling, communication, and collaboration strategies that help us achieve our best results. In our dynamic, globally distributed company, this means balancing flexibility and responsibility — flexibility to live our lives to the fullest, and responsibility to each other, to our customers, and to our shareholders. For most roles, we offer the flexibility to work both remotely and at Zuora offices.

Our Commitment to an Inclusive Workplace

Think, be and do you! At Zuora, different perspectives, experiences and contributions matter. Everyone counts. Zuora is proud to be an Equal Opportunity Employer committed to creating an inclusive environment for all.

Zuora does not discriminate on the basis of, and considers individuals seeking employment with Zuora without regards to, race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to assistance(at)zuora.com.

Company Overview

At Zuora, we do Modern Business. We’re helping people subscribe to new ways of doing business that are better for people, companies and ultimately the planet. It’s an approach resulting from the shift to the Subscription Economy that puts customers first by building recurring relationships instead of one-time product sales and focuses on sustainable growth. Through our leading expertise and multi-product suite, we are transforming all industries and working with the world’s most innovative companies to monetize new business models, nurture subscriber relationships and optimize their digital experiences.

The Team & Role

Here at Zuora, we pride ourselves on having the best customers, the most impressive investors, the most comprehensive ecosystem, and the only true SaaS-based application leading the Subscription Economy. This is your chance to get in on the ground floor with a company poised for continued success and set on a trajectory for rapid growth.

Are you passionate about solving complex business problems with cutting-edge technologies? Do you want to design scalable, reusable solutions that address wide-ranging business requirements and build mission-critical SaaS systems used by large Enterprise companies worldwide? If you are inspired by Zuora’s role in powering the Subscription Economy®, we invite you to join our engineering team.

This is a location specific position that requires you to come into the Chennai office regularly to be most effective. 

What you’ll do

• Responsible for the entire lifecycle of projects or features including engineering design, development, review and deployment.
• Providing technical oversight to improve execution and system robustness alignmenting with long-term technical strategy. 
• Define optimized data models, leverage in-memory processing, and ensure systems can handle large-scale enterprise transaction volumes with low-latency APIs.
• Write, co-write, and review technical design documentation.
• Coach and mentor engineers, fostering technical growth and ensuring consistent high-quality delivery.

Your experience

• Bachelor’s or higher degree in Computer Science, Software Engineering, or a closely related field.
• Minimum of 5 years in software engineering with at least 5 years each in the following areas:
• Developing and delivering enterprise SaaS software at scale.
• Designing, building, and maintaining billing and subscription management software.
• Hands-on development with Java, Kotlin, MySQL, Spring Framework, Hibernate and cloud technologies.
• Proven expertise in designing and building scalable, distributed, high-performance systems in large enterprise environments.
• Strong system design skills, with demonstrated success guiding teams through complex technical decisions.
• Excellent problem-solving ability, with strong analytical skills to translate complex business requirements into scalable solutions.
• A passion for mentorship, knowledge sharing, and helping teams grow.

Nice to haves:

• Knowledge and experience in the CRM or Billing domain or ERP Finance/Accounting software

#ZEOLife at Zuora

As an industry pioneer, our work is constantly evolving and challenging us in new ways that require us to think differently, iterate often and learn constantly—it’s exciting. Our people, whom we refer to as “ZEOs" are empowered to take on a mindset of ownership and make a bigger impact here. Our teams collaborate deeply, exchange different ideas openly and together we’re making what’s next possible for our customers, community and the world. 

As part of our commitment to building an inclusive, high-performance culture where ZEOs feel inspired, connected and valued, we support ZEOs with:

• Competitive compensation, variable bonus and performance reward opportunities, and retirement programs
• Medical Insurance
• Generous, flexible time off 
• Paid holidays, “wellness” days and company wide end of year break
• 6 months fully paid parental leave 
• Learning & Development stipend
• Opportunities to volunteer and give back, including charitable donation match
• Free resources and support for your mental wellbeing  

Specific benefits offerings may vary by country and can be viewed in more detail during your interview process.

Location & Work Arrangements

Organizations and teams at Zuora are empowered to design efficient and flexible ways of working, being intentional about scheduling, communication, and collaboration strategies that help us achieve our best results. In our dynamic, globally distributed company, this means balancing flexibility and responsibility — flexibility to live our lives to the fullest, and responsibility to each other, to our customers, and to our shareholders. For most roles, we offer the flexibility to work both remotely and at Zuora offices.

Our Commitment to an Inclusive Workplace

Think, be and do you! At Zuora, different perspectives, experiences and contributions matter. Everyone counts. Zuora is proud to be an Equal Opportunity Employer committed to creating an inclusive environment for all.

Zuora does not discriminate on the basis of, and considers individuals seeking employment with Zuora without regards to, race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to assistance(at)zuora.com.

Responsibilities

We are looking for an experienced Senior Forward Deployed Engineer to join our AI Solutions team. In this role, you will be responsible for designing, developing, and deploying advanced AI Agentic Solutions that exhibit autonomous, proactive, and adaptive behaviors. This role requires a deep understanding of AI/ML technologies, integration, automation experience and solution architecture, combined with strong problem-solving skills and the ability to collaborate across multidisciplinary teams.

• Architect and implement agent-based AI solutions using the Workato Agentic AI platform.

• Designing intelligent, autonomous, and efficient agentic AI workflows that utilize multi-agent collaboration, orchestration, and the automation capabilities provided by the Workato platform.

• Design and deploy Retrieval-Augmented Generation (RAG) systems using Workato’s Agentic AI capabilities, leveraging its connectors, workflows, and recipes to enable context-aware, grounded, and real-time responses from large language models (LLMs).

• Develop advanced prompting, memory management, and behavior-planning techniques to enable LLMs and agents to reliably author and execute complex workflows.

• Act as a technical solutions expert with a strong aptitude in troubleshooting and analyzing AI-driven architectures, including scalable RAG pipelines and agent frameworks built using the Workato Agentic AI platform.

• Develop and maintain robust, scalable AI-powered IT workflows with agent-based decision-making, dynamic retrieval mechanisms, and seamless integration using the Workato Agentic AI platform.

• Continuously monitor and improve AI system performance, ensuring efficiency and reliability.

• Work closely with customers to understand use cases and deliver tailored, scalable agentic AI and RAG-based solutions using the Workato Agentic AI platform, while prioritizing exceptional customer service to ensure alignment with both technical and business needs, as well as satisfaction and successful implementation.

• Collaborate with cross-functional teams to integrate AI workflows into existing IT frameworks, ensuring smooth and seamless deployment.

• Contribute to internal process improvements and promote knowledge sharing by adding to Workato’s knowledge base.

• Play an instrumental role in all phases of product development, from ideation to implementation, contributing valuable insights and expertise.

• Assist the product manager in creating technical and design specifications, ensuring alignment with product goals and user needs.

• Leverage strong communication skills to effectively translate complex technical concepts into accessible insights for non-technical audiences.

Requirements

Please note: In this role, you will be supporting the US business hours from 6:30 PM to 3:30 AM IST!

Qualifications / Experience / Technical Skills

• BTech/BE or higher technical education in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

• A total of 8+ years of relevant experience in design, development, and implementation, with at least 3 years of experience with the Workato platform, is a must.

• Proven experience in AI engineering, with a focus on agent-based systems.

• Demonstrated ability to design and implement scalable AI-driven workflows that enhance IT operations.

• Knowledge of implementing integration projects is essential. Hands-on experience with automation technologies, middleware, integration architecture patterns, web services technologies, enterprise messaging patterns, APIs, SOA, ESB, BPM, SDKs, and databases.

• 5+ years of experience working with integration platforms such as Workato, TIBCO, Dell Boomi, MuleSoft, or other integration/automation tools is a plus. Experience with cloud technologies—iPaaS, SaaS applications, and cloud infrastructure—is also a plus.

• Strong working knowledge of APIs—RESTful, SOAP/XML. Solid understanding of data structures—JSON. Sound knowledge of any RDBMS/NoSQL.

• 2-3 years of coding experience (Java/Python/Ruby).

• Technical background or a solid understanding of technology and industry trends, especially in the app integration space.

• Experience working with cloud business apps like Workday, NetSuite, Salesforce, ServiceNow, Marketo is a plus.

• Working knowledge of Microservices or API-based integration architecture, event-driven architecture, and process automation via BPM or RPA is a plus.

Soft Skills / Personal Characteristics

• Strong collaboration skills, ability to adapt to a dynamic start-up environment, with a passion for making an impact.

• Strong critical thinking, analytical skills with an entrepreneurial and proactive mindset.

• Ability to effectively prioritize tasks and manage time, even under high-pressure situations.

• Strong written and oral communication skills in English, with the ability to convey complex technical concepts effectively to a non-technical audience.

• Fast learner who can independently conduct extensive research and synthesize ideas, information and options quickly.

• Be proactive about solving problems and be ready to take on additional initiatives and responsibilities as they emerge.

Please respond to the Job Application Questions below with thorough and honest answers - concise yet detailed responses will distinguish you in our selection process. 
All submissions are personally reviewed by the Hiring Team, not evaluated by AI.

What we’re looking for  

We’re looking for a Software Engineer III who is passionate about building reliable, scalable backend systems and enjoys working across the stack when needed. You are a hands‑on engineer who thrives on solving real‑world problems, writing clean and maintainable code, and collaborating closely with teammates to deliver high‑quality features end‑to‑end. 

You bring strong engineering fundamentals, a growth mindset, and the ability to work independently on well‑scoped projects — owning medium‑sized features from design through deployment in alignment with our engineering best practices. You’re comfortable contributing to technical discussions, making thoughtful trade‑offs, and following established architectural patterns as you deepen your understanding of our systems. 

This role is fully remote, based in India and offers the opportunity to meaningfully influence backend architecture, shape engineering best practices, and work with a mission-driven, high-performing team.  

What you’ll own  

As a Software Engineer III, you will have clear ownership over features, with opportunities to contribute across the stack:  

• Own and deliver small to medium-sized backend features end-to-end: From technical discovery and design through implementation, testing, deployment and iteration 

• Take technical ownership of one or more non‑critical backend services or components: Ensuring they remain reliable, maintainable, well‑documented, and easy to extend. 

• Write clean, modular, testable code: Primarily in Ruby, Ruby on Rails, and Python, while contributing to frontend code when needed to support full‑stack feature delivery. 

• Contribute to the design and evolution of our APIs: Including GraphQL and REST endpoints that power frontend and partner‑facing applications, following established architectural patterns and best practices. 

• Ensure strong observability and operational health of owned services: Through logging, monitoring, alerting, and contributing to root‑cause analysis and follow‑through improvements. 

• Actively participate in technical discussions: Bringing thoughtful perspectives that balance simplicity, long‑term maintainability, and performance as you deepen your understanding of Perch’s systems. 

• Support team productivity through high‑quality code reviews and collaboration: Sharing context, helping unblock others, and contributing to a strong engineering culture. 

What you’ll do  

• Design and build scalable, resilient backend systems using Ruby on Rails, Python and PostgreSQL  

• Contribute to implementation of complex features and integrations, including external systems such as Salesforce  

• Take technical design decisions independently for your features 

• Own and evolve GraphQL services that power frontend and partner-facing applications  

• Improve system reliability through testing, monitoring, alerting, and operational best practices  

• Ship production-ready code frequently using a modern CI/CD pipeline  

• Review code and designs with a strong focus on maintainability, performance, and long-term impact  

What will help you succeed  

Experience & leadership  

• 4+ years of experience building and operating high-availability backend systems  

• Demonstrated experience delivering backend features and owning systems 

• Strong fundamentals in system design, API design, and data modelling  

• Ability to clearly communicate technical decisions and trade-offs to both technical and non-technical stakeholders 

• Actively represent engineering team in key discussions with US stakeholders 

• Proven experience mentoring junior engineers and raising the technical bar of a team  

• Comfortable working in ambiguous problem spaces and iterating toward robust solutions  

Backend & infrastructure  

• Strong experience with Python or Ruby, including proficiency in at least one web framework: 

• Ruby on Rails 

• FastAPI, Django or Flask 

• Working knowledge of ReactJS, with the ability to contribute to frontend components to support full‑stack delivery 

• Advanced SQL skills and experience with PostgreSQL or similar relational databases  

• Hands-on experience with AWS services such as S3, SQS, SES, EventBridge, or similar cloud-native services.  

• Containerization using Docker  

• Exposure to distributed systems or platform engineering  

• Familiarity with background jobs, async processing, and event-driven workflows  

Bonus points for  

• Experience integrating with Salesforce or other enterprise platforms  

• Experience designing and owning  GraphQL APIs (Apollo or similar)  

• Strong opinions (loosely held) on backend architecture, scalability, and system design  

• Exposure to AI-assisted engineering—such as using modern AI tools for coding, debugging, testing, documentation, or exploring LLM-based workflows in backend systems  

• Familiarity with observability and distributed tracing tools such as OpenTelemetry, Jaeger, Prometheus, or similar