Role 

We are looking for a Senior Database Developer (PostgreSQL/MySQL/AWS Aurora, SQLite) to join our team in a Hybrid (Bangalore, Hyderabad or Mohali) capacity, reporting to the Senior Director, Software Engineering. You will design, build, and optimize high-performance database systems at planet scale, owning data modeling, complex SQL development, and cloud-native automation. This role is critical for supporting sharded, high-throughput workloads and ensuring the reliability of our global data infrastructure.

What you’ll do (Role Expectations)

• Design and evolve high-scale data models, partitioning strategies, and sharding patterns to support massive transactional and analytical workloads
• Optimize query performance and database internals across Postgres and MySQL fleets using advanced profiling tools and configuration tuning
• Lead the operation and scaling of AWS Aurora environments, including Serverless v2, Global Databases, and read replica management
• Architect and execute zero-downtime schema migrations and robust disaster recovery strategies to ensure world-class system reliability
• Standardize database observability and automation by building CI/CD pipelines for schema changes and managing infrastructure as code

Who You Are (Success Profile)

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

What We’re Looking for (Minimum Qualifications)

• 6+ years of professional experience with relational databases, including 3+ years operating cloud databases such as AWS Aurora or RDS in production
• Expert-level proficiency in SQL, PL/pgSQL, and MySQL stored routines with a track record of optimizing systems handling thousands of TPS/QPS
• Deep technical knowledge of database internals including MVCC, WAL, vacuuming, and InnoDB locking mechanisms
• Hands-on experience with data modeling, partitioning, and infrastructure as code tools like Terraform or CloudFormation
• Advanced skills in performance diagnostics using tools like EXPLAIN ANALYZE, pg_stat_statements, and Performance Insights

What Will Make You Stand Out (Preferred Qualifications)

• Experience with streaming platforms like Kafka and managing database operations within Kubernetes environments
• Proven ability to drive cost and performance optimization for cloud databases through IOPS and storage class tuning
• Knowledge of connection management tools like PgBouncer and integration with search engines like Elasticsearch

#LI-Hybrid #LI-AN4

Role

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

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

What you’ll do (Role Expectations)

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

Who You Are (Success Profile)

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

What We’re Looking for (Minimum Qualifications)

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

What Will Make You Stand Out (Preferred Qualifications)

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

#LI-Hybrid #LI-NT1

Role

We are looking for an experienced Staff Software Engineer to join our team. This is a hybrid role based in Bangalore, reporting to the Sr. Director, Software Engineering within the Engineering department. You will be a key development engineer responsible for designing, developing, and testing mission-critical enhancements to the Zscaler nanolog database and its associated services. Your work will focus on the evolution of query parsing, streaming architectures, and high-efficiency data storage to power our global cloud infrastructure.

What you’ll do (Role Expectations)

• Design, develop, and test enhancements to the Zscaler nanolog database and associated services
• Develop advanced features in query parsing and planner modules, including new functionalities for the Zscaler query language in metrics-based data stores
• Optimize log collection and streaming to third parties, implementing efficient storage and compression algorithms
• Troubleshoot complex issues within production clouds, profiling code to identify and improve efficiency in hot spots
• Architect large-scale, maintainable software components that support distributed systems at scale

Who You Are (Success Profile)

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

What We’re Looking for (Minimum Qualifications)

• 7+ years of software development experience with deep expertise in C programming
• Strong working experience in database kernels, specifically focused on query optimizations
• Expert knowledge of Unix systems and a strong command of Algorithms and Data Structures
• Proven track record in developing large, maintainable software architectures for distributed systems
• Experience building scalable systems with expertise in high-performance computing, multi-threading, and memory optimization

What Will Make You Stand Out (Preferred Qualifications)

• Strong knowledge of TCP/IP and HTTP protocols
• Direct experience in compiler development or advanced language design

#LI-Hybrid #LI-SU1

Role 

We are looking for a Principal Web Development Engineer to join our Engineering team. This is a hybrid role based in Bangalore, reporting to the Director, Software Engineering.

You will join our Frontend Engineering team to lead the design, development, and evolution of browser extensions. You will play a pivotal role in shaping Zscaler’s next-generation user interfaces while mentoring and guiding other engineers.

What you’ll do (Role Expectations)

• Architect and lead the development of scalable, secure, and performant browser extensions using TypeScript while providing technical mentorship to the engineering team
• Own the extension build system and tooling to ensure reliable builds across all supported browsers while enforcing best practices in testing, modular design, and performance
• Champion the expansion of design systems for reusable and accessible components, driving the adoption of standards that ensure quality across all extension surfaces
• Partner across functions to define API contracts, roadmap integrations, and collaborate with DevOps to streamline CI/CD pipelines and evaluate emerging technologies
• Lead the refactoring and redesign of legacy systems to improve scalability and reliability through research-driven development and engineering excellence

Who You Are (Success Profile)

• You thrive in ambiguity and are comfortable building the path as you walk it, viewing dynamic environments as the raw material to build something meaningful
• You act like an owner with a passion for the mission and a bias for action, seamlessly navigating between high-level strategy and hands-on execution
• You are a problem-solver who runs toward challenges with a laser focus on finding solutions that deliver the highest impact
• You are a high-trust collaborator who is ambitious for the team, embracing a challenge culture where candor and feedback are used to build respect and teamwork
• You are a learner with a true growth mindset, committed to your own development and actively seeking feedback to become a stronger teammate

What We’re Looking for (Minimum Qualifications)

• 13+ years of software development experience, with at least 5 years specializing in large-scale production TypeScript
• Expert-level proficiency in TypeScript, ES6+, core JavaScript, and advanced state management
• Proficient in HTML5 and CSS3 for building large-scale, responsive applications
• Extensive experience developing unit, integration, and E2E tests using Vitest, Jest, or Playwright
• Solid understanding of web application security risks and vulnerabilities

What Will Make You Stand Out (Preferred Qualifications)

• Extensive experience deploying browser extensions across major browsers, including deep knowledge of extension APIs, manifest versions, and store submission processes
• Expertise in profiling and optimizing frontend applications for speed and minimal loading times using lazy loading and tree shaking
• Proven ability to architect and implement scalable, modular solutions for multi-tenant applications with a focus on future-proofing

#LI-HYBRID 

#LI-SK3

Manager, Salesforce Operations (L2/L3) – BIS

The Manager, Salesforce Operations is responsible for global run operations, production stability, and service delivery for the Salesforce platform across Sales Cloud, Service Cloud, CPQ, and related integrations and services. This role owns L2/L3 operational support, incident and problem management, change governance, and continuous improvement of the Salesforce ecosystem in a 24x7 global delivery model.

You will lead regional support teams, partner closely with business and technology stakeholders, and ensure Salesforce environments are secure, stable, compliant, and scalable to support Kaseya’s growth.

Key Responsibilities

Global Service Delivery & Operations

• Own end‑to‑end Salesforce production operations across global regions.
• Lead L2/L3 support for Salesforce Sales Cloud, Service Cloud and CPQ
• Ensure adherence to SLAs, incident response, and escalation protocols.
• Act as the primary point of accountability for Salesforce availability, stability, performance, and operational health.

Incident & Problem 

• Lead major incident management, including war‑room coordination and executive‑level communication.
• Drive RCA and preventative actions to reduce recurring production issues.
• Partner with Salesforce Support and third‑party vendors to resolve critical production issues efficiently.

Operational Excellence & Governance

• Standardize operational processes aligned to ITIL best practices.
• Define and manage runbooks, SOPs, monitoring, alerting, and on‑call models.
• Drive continuous improvement in MTTR, incident volume reduction, backlog aging, and operational efficiency.
• Ensure compliance with security, SOX, audit, and regulatory requirements.
• Embed security‑by‑design and least‑privilege principles across Salesforce operations.

Platform & Integration Oversight

• Oversee operational stability for:
  • Salesforce core clouds (Sales, Service,CPQ)
  • Custom Apex, Flows, and automations
• Ensure stable integrations between Salesforce and enterprise systems (e.g., NetSuite, MuleSoft, Snowflake, Data Cloud, marketing and billing platforms).
• Monitor and manage scheduled jobs, integrations, platform events, batch processes, and data synchronization pipelines.

Team Leadership & Vendor Management

• Lead, mentor, and develop a high‑performing Salesforce L2/L3 operations team.
• Manage vendor partners and managed service providers, including performance, quality, and cost accountability.
• Support workforce planning, skill development, and shift coverage strategies across global regions.
• Promote a culture of operational ownership, accountability, and continuous improvement.

Required Skills & Expertise

Salesforce Platform Expertise

• Strong expertise in enterprise‑scale Salesforce operations and support.
• Deep understanding of:
  • Salesforce security model, profiles, permission sets, and sharing
  • Production support, troubleshooting, and RCA
  • Change & release governance in regulated environments
• Experience with Apex, Flows, integrations (REST/SOAP), and middleware platforms.

Experience

• 7+ years of Salesforce platform experience in enterprise environments.
• 3+ years in a people or operations management role (L2/L3 support, engineering, or platform operations).
• 5+ years supporting Salesforce production environments.
• Proven experience working with Salesforce Support and third‑party vendors to resolve production issues.
• Experience producing operational metrics, executive dashboards, and incident reports.

Communications & Leadership

• Excellent written and verbal communication skills.
• Strong stakeholder management and executive presence.
• Ability to lead teams through high‑pressure production incidents.
• Proven mentoring and people‑development capabilities.

Education

• Bachelor’s degree or equivalent in Computer Science, Information Technology, Engineering, or a related field.

Preferred Certifications

• Salesforce Administrator, Advanced Administrator, Platform App Builder, or Architect certifications (preferred, not required).

What you will do:

You'll work on end-to-end projects in a full-stack role, aligned with your skills and career goals. As a part of your job, you will be charged with designing, researching, developing, and testing the functional and non-functional areas. 

We design and implement new projects while constantly making sure we support large scales of data and traffic, backward and upward compatibility, and more.

Requirements

• Min 6+ years of experience in full-stack development using JavaScript and TypeScript
• Strong experience with modern web frameworks, particularly Vue.js and Nest.Js
• Experience with AngularJS or React.js is also acceptable
• Extensive hands-on experience with AWS cloud technologies
• Solid backend development experience using Node.js
• Demonstrated proficiency in designing, developing, and deploying microservices-based applications. Ability to architect and implement scalable, loosely coupled, and maintainable microservices.
• Having experience in implementing CI/CD pipelines for automated testing, building, and deploying applications.
• Ability to lead end-to-end projects, working with other team members across the world
• Deep understanding of system architecture , and distributed systems
• Enjoy working in a fast-paced environment
• Able to work collaboratively within different teams and with differing levels of seniority

What you will bring:

• Work closely with cross-functional teams such as Development, Operations, and Product Management to ensure seamless integration of new features and services with a focus on reliability, scalability, and performance
• Experience with back-end technologies
• Good knowledge and understanding of client-side architecture
• Capable of managing time well and working efficiently and independently
• Ability to collaborate with multi-functional teams
• Excellent communication skills

Nice to Have

• Bachelor's or Master's degree in CS or related field/experience

#LI-CK1

What you will do:

You'll work on end-to-end projects in a full-stack role, aligned with your skills and career goals. As a part of your job, you will be charged with designing, researching, developing, and testing the functional and non-functional areas. 

We design and implement new projects while constantly making sure we support large scales of data and traffic, backward and upward compatibility, and more.

Requirements

• Min 3 years of experience in full-stack development using JavaScript, TypeScript, and Java
• Strong experience with modern web frameworks, particularly Vue.js
• Experience with AngularJS or React.js is also acceptable
• Extensive hands-on experience with AWS cloud technologies
• Solid backend development experience using Node.js
• Demonstrated proficiency in designing, developing, and deploying microservices-based applications. Ability to architect and implement scalable, loosely coupled, and maintainable microservices.
• Having experience in implementing CI/CD pipelines for automated testing, building, and deploying applications.
• Ability to lead end-to-end projects, working with other team members across the world
• Deep understanding of system architecture , and distributed systems
• Enjoy working in a fast-paced environment
• Able to work collaboratively within different teams and with differing levels of seniority

What you will bring:

• Work closely with cross-functional teams such as Development, Operations, and Product Management to ensure seamless integration of new features and services with a focus on reliability, scalability, and performance
• Experience with back-end technologies
• Good knowledge and understanding of client-side architecture
• Capable of managing time well and working efficiently and independently
• Ability to collaborate with multi-functional teams
• Excellent communication skills

Nice to Have

• Bachelor's or Master's degree in CS or related field/experience

#LI-CK1

Senior Database Solution Architect - MS SQL  (US/EST timezone)

Job Overview

As a Senior Database Solutions Architect, you will serve as a pre-sales specialist, supporting the broader sales organization with deep technical knowledge across database workloads. This means working with customers and prospects to educate them on how Rubrik protects and manages data. Additionally, the Solution Architect will have an active role in providing real world feedback to product teams to enhance the product, testing new features before they are released, and championing new features within the sales team. The Solutions Architect provides both immediate and long term impact with their technical knowledge and position of influence with prospects and customers.

Key Responsibilities

• Serve as a subject matter expert on Rubrik’s data protection and data security solutions, focussed on database workloads deployed either on-prem or in the cloud.
• Act as a trusted advisor on assigned opportunities, aligning Rubrik’s technology and roadmap with customer business objectives.
• Lead impactful product demonstrations, technical workshops, and solution presentations tailored for technical and executive-level audiences.
• Support customers based in North America; must be comfortable working in the US Eastern Time Zone (ET) timings: 5:30 PM to 2:30 AM
• Contribute to high-quality proposals, white papers, and responses to RFPs/RFIs.
• Collaborate with presales teams to design, execute, and troubleshoot proof-of-concepts (POCs), ensuring successful outcomes.
• Proactively identify technical challenges and architect creative solutions to overcome sales barriers.
• Translate complex customer requirements into clear, actionable technical strategies.
• Stay abreast of industry trends in data protection, security, database and cloud technologies, effectively positioning Rubrik’s solutions.
• Evangelize Rubrik’s offerings and clearly communicate strategic direction and product roadmap aligned with customer needs.
• Work closely with Product Management and Engineering to influence feature development based on customer feedback and market demands.
• Provide competitive intelligence and actionable insights from customer engagements to internal stakeholders.'

Qualifications

• 10+ years of successful experience in customer-facing technical sales or consulting roles focused on enterprise database technologies and cloud.
• Bachelor’s Degree in Computer Science, Engineering, or equivalent experience.
• Core expertise: Deep technical proficiency in the following areas:
• MS SQL Server: Architecting and managing large scale high-availability and disaster recovery (HADR) solutions. Including extensive experience with Always On Availability Groups (AG), Failover Cluster Instances (FCI), and log shipping.
• Cloud DBs: Design and management of Azure SQL, Azure SQL MI or Amazon RDS/Aurora or GCP CloudSQL
• Secondary Competencies: Proficiency or working knowledge of
• NoSQL/Distributed: MongoDB, Apache Cassandra.
• Relational DBs: Oracle, IBM DB2, Informix, PostgreSQL.
• Containerized DBs
• Proficiency in scripting languages such as Python, PowerShell, Go, or JavaScript.
• Excellent problem-solving capabilities, able to troubleshoot complex technical issues and deliver scalable solutions.
• Experience conducting benchmarks and performance testing on enterprise systems (preferred).
• Demonstrated sales acumen, capable of articulating technical value to C-level executives and technical audiences including database administrators.
• Strong cross-functional collaboration skills with sales, engineering, and product management.
• Exceptional communication skills, including compelling presentations and clear, concise writing.
• Proven experience with data center hardware/software, cloud platforms, data security solutions, IaaS, PaaS, or hypervisor software.
• Self-motivated and results-driven, comfortable working remotely with a high degree of autonomy.
• Flexible and willing to travel (approximately up to 20%) for client meetings and site visits.
• Work location: Bengaluru, India

Role Overview

At JazzX, we are building a modern cloud-native platform ecosystem focused on scalability, reliability, automation, security, and developer self-service. Our platform leverages Microsoft Azure, Cloudflare, AI/LLM-driven operations, and Agentic workflows to automate infrastructure management, deployment operations, incident response, platform intelligence, and customer instance lifecycle management.

We are looking for a highly experienced Staff Platform Engineer to lead the architecture, automation, scalability, and operational maturity of our platform infrastructure and engineering ecosystem. This role requires deep expertise across cloud infrastructure, distributed systems, networking, DevOps, platform engineering, security, and intelligent automation.

As a senior technical leader, you will drive platform strategy, define engineering standards, mentor engineers, and build highly scalable and resilient systems that improve developer productivity, operational efficiency, security, and customer experience.

Platform Architecture, Engineering & Reliability

• Architect and build scalable, secure, and highly available cloud-native platforms on Microsoft Azure
• Design and manage infrastructure automation using Terraform, GitOps, and Infrastructure as Code (IaC)
• Build and improve CI/CD systems, deployment orchestration, environment provisioning, and self-service developer platforms
• Design secure networking and authentication systems using Cloudflare, API gateways, private networking, and Zero Trust principles
• Drive platform reliability, scalability, observability, security, and operational excellence across production environments
• Lead incident management, root cause analysis, operational governance, deployment reliability, and resiliency improvements
• Build AI/LLM and Agentic operational workflows for troubleshooting, automation, operational insights, and intelligent platform management
• Improve operational efficiency through automation, intelligent tooling, anomaly detection, and cloud cost optimization
• Strong hands-on coding experience in Python, Go, or modern programming languages with strong system design and problem-solving fundamentals
• Deep understanding of cloud-native architectures, distributed systems, networking, CI/CD, infrastructure automation, and platform engineering principles
• Experience building internal developer platforms, self-service systems, operational tooling, and AI-assisted engineering workflows
• Strong understanding of SDLC, DevOps practices, Agile methodologies, release governance, and production operational models
• Strong troubleshooting and debugging skills across infrastructure, cloud, deployment, networking, and application layers

Technical Leadership & Collaboration

• Partner with engineering, architecture, security, and product teams to define platform standards and long-term technical strategy
• Improve developer experience, platform adoption, deployment reliability, and operational maturity across teams
• Lead architecture discussions, operational reviews, and production readiness initiatives
• Mentor engineers and drive engineering best practices across platform and infrastructure domains
• Drive engineering culture around automation, scalability, reliability, operational excellence, and platform standardization
• Strong communication, collaboration, stakeholder management, and technical leadership skills

Experience

• 10+ years of experience in Platform Engineering, Infrastructure Engineering, DevOps, SRE, or Cloud Engineering
• Extensive experience managing large-scale production environments on Microsoft Azure
• Experience with Kubernetes, container platforms, GitOps, Terraform, and cloud-native systems
• Experience building enterprise-grade CI/CD and deployment automation platforms
• Experience driving operational excellence, observability, reliability engineering, and infrastructure automation initiatives
• Experience leading cross-functional technical initiatives and mentoring engineers
• Experience with AI/LLM workflows, coding agents, and intelligent automation systems is a strong plus

Technical Skills

Cloud & Infrastructure

• Microsoft Azure, Azure Networking, VNet, NSG, Load Balancer, Private Endpoints, Azure Kubernetes Service (AKS), Azure Container Apps, Azure API Management, Azure Entra ID, Azure Monitor and Log Analytics

Infra, DevOps, Automation and Building Platform

• Terraform,GitHub Actions / Azure DevOps, CI/CD Pipeline Design, Infrastructure as Code (IaC), GitOps, Python / Go any programming language

Networking & Security

• Cloudflare Gateway / WAF, API Security, Authentication & Authorization, SSO Integration (Okta, Entra ID), Network Security and Zero Trust concepts

Observability & Operations

• Monitoring and Alerting, Logging and Tracing, Incident Management, Root Cause Analysis, Reliability Engineering

AI & Platform Intelligence

• LLM-based operational workflows, Agentic automation systems, AI-assisted incident analysis and remediation, Intelligent anomaly detection and operational insights

Nice To Have

• Kubernetes ecosystem tools, Service Mesh, Vector databases, MCP/Agentic orchestration frameworks, FinOps and cloud cost optimization tools

The Multi Geo / Multi Cloud Application Architect at OpenFX owns the design and integrity of a payments and FX platform that must operate across multiple geographic regions and cloud environments without compromising on availability, data sovereignty, latency, or regulatory compliance. This is not a role that designs architecture in the abstract. You are responsible for decisions that determine whether a settlement clears in London during an AWS eu-west-1 degradation, whether a client in the UAE can transact without their data leaving the region, and whether OpenFX can migrate between cloud providers without a full platform rewrite.

Cross-border payments and FX are inherently distributed problems. Transactions originate in one jurisdiction, clear through correspondent networks in another, and settle in a third. The infrastructure that supports this must match that complexity with equivalent architectural rigour. You are the person who ensures it does.

You operate at the intersection of distributed systems engineering, cloud infrastructure, and financial regulatory compliance. You work closely with the Principal Architect, Platform team, pod-level Tech Leads, and the Security and Compliance functions to define standards, validate designs, and resolve the hardest architectural trade-offs the organisation faces.

Key Skills

Distributed Systems & Cloud Architecture

• Deep expertise in multi-region application design: active-active and active-passive topologies, global load balancing, regional failover, and cross-region replication strategies
• Strong hands-on experience with at least two major cloud providers (AWS, GCP, Azure) and a clear understanding of where provider capabilities diverge in ways that matter for financial workloads
• Proficiency in cloud-agnostic infrastructure patterns: Kubernetes (multi-cluster federation, cross-region networking), service mesh architectures, and infrastructure-as-code tooling (Terraform, Pulumi)
• Solid understanding of networking fundamentals at scale: BGP, Anycast, CDN strategies, private interconnects, and east-west traffic management across regions
• Familiarity with distributed data consistency models: eventual consistency, strong consistency trade-offs, CRDTs, and conflict resolution strategies in globally distributed databases

Financial Domain & Compliance Architecture

• Understanding of data residency and sovereignty requirements across key OpenFX operating jurisdictions: UAE (ADGM / DFSA), UK (FCA), EU (GDPR / PSD2), and other relevant frameworks
• Ability to design data partitioning and routing architectures that enforce jurisdictional boundaries without fragmenting the platform into isolated silos
• Familiarity with financial infrastructure concepts: payment rail latency, settlement finality, FX liquidity provider connectivity, and correspondent banking dependencies
• Experience ensuring audit logging, data lineage, and access controls work coherently across multi-cloud, multi-region environments

Engineering Craft & Architecture Practice

• Ability to produce ADRs, reference architectures, and design documents that are precise enough for engineers to implement from and clear enough for product and compliance to validate against
• Strong systems thinking: able to reason about failure modes, blast radius, and cascade effects in complex distributed systems
• Experience running architecture review processes across multiple independent teams

Collaboration & Communication

• Communicates complex architectural constraints and trade-offs clearly to non-technical stakeholders
• Influences through reasoning and evidence, not authority; builds consensus across pod-level Tech Leads and EMs
• Comfortable operating with significant ambiguity at the frontier of what the platform needs to become

Roles & Responsibilities

Multi-Region Architecture Design & Ownership

• Define and maintain the reference architecture for multi-region deployment: traffic routing, data replication, failover behaviour, and regional isolation boundaries
• Own architectural decisions that govern how services are deployed, scaled, and failed over across regions; ensure those decisions are documented and revisited as the platform evolves
• Design for regional independence: the ability to isolate a region for regulatory or operational reasons without degrading global capability
• Define standards for how new services must be designed to operate in a multi-region context from day one, not as a retrofit

Multi-Cloud Strategy & Portability

• Maintain an architecture that avoids hard coupling to any single cloud provider for critical platform functions
• Evaluate where to leverage managed cloud services versus cloud-agnostic alternatives, with explicit reasoning about portability, cost, and operational overhead
• Lead design of abstraction layers and platform primitives (with the Platform pod) that allow services to run across cloud environments without service-level re-engineering
• Define and test cloud provider failover runbooks; ensure provider-level degradation can be responded to within defined RTO and RPO targets

Data Sovereignty & Regulatory Architecture

• Design data routing, storage, and processing architectures that enforce jurisdictional data residency requirements across all regions OpenFX operates in
• Work with Compliance and Legal to translate regulatory obligations into concrete architectural constraints enforced at infrastructure and application layer
• Define the data classification framework for multi-region environments: what replicates globally, what stays regionally isolated, what requires explicit consent to move
• Ensure observability infrastructure produces the evidence needed to demonstrate data residency compliance to regulators

Platform Reliability & Resilience

• Define availability and resilience targets; ensure the architecture is designed to meet them under realistic failure scenarios, not just nominal conditions
• Lead chaos engineering and failure mode analysis exercises to validate that failover, replication, and multi-cloud fallback behave as designed
• Own the observability architecture across multi-region, multi-cloud deployments: unified logging, distributed tracing, and alerting that works coherently regardless of where workloads run
• Establish SLO / SLA frameworks that reflect the availability and latency commitments OpenFX makes to clients and liquidity providers

Cross-Team Architecture Governance

• Conduct architecture reviews for significant features, integrations, and infrastructure changes across all pods; ensure multi-region and multi-cloud implications are addressed before build begins
• Maintain and evolve the ADR library; ensure decisions are current and discoverable by engineers across the organisation
• Work with pod Tech Leads to identify and address architectural drift where production systems have deviated from intended design
• Contribute to the Platform pod's roadmap: identify shared infrastructure investments that reduce the cost of multi-region operation for all pods

What Success Looks Like

• A regional cloud provider degradation does not cause a platform-wide outage; failover occurs within defined targets and clients are not materially impacted
• OpenFX can demonstrate to regulators in any operating jurisdiction that client data complies with local residency requirements, backed by architecture rather than manual controls
• Pod engineers have clear standards for building multi-region-ready features and do not re-solve distributed systems problems that have already been solved at the platform level
• The platform is not locked to any single cloud provider; a migration decision can be executed as an operational programme, not an architectural rewrite
• Architecture reviews are seen as a quality accelerator by engineering teams, not a bottleneck
• You are the person the organisation turns to when the hardest infrastructure trade-offs need to be resolved, and you resolve them with clarity and evidence

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

AI Foundations is Toast's internal platform team for AI. We build the infrastructure, governance, and developer tooling that makes AI a reliable, scalable force multiplier across the entire product development lifecycle. Our products include the LLM Proxy, AI Key Management, Observability pipelines, the Claude Plugin Marketplace, and autonomous agents that participate directly in the software development lifecycle.

As a Staff Software Engineer on this team, you'll shape the foundation others build on: from the LLM Proxy that routes all internal AI traffic, to autonomous agents that participate directly in the software development lifecycle. If you want to work at the frontier of AI infrastructure and see your work amplify hundreds of engineers across a fast-growing company, this is the role.

A day in the life (Responsibilities)

• Design, build, and ship core AI platform infrastructure, including the LLM proxy, AI key management, and observability pipelines powering Toast's internal AI ecosystem
• Architect and deliver autonomous agents that participate in the SDLC, including the AI Review GitHub App and Developer Platform MCP integrations
• Build on and help maintain the internal plugin marketplace, developing plugins that encode Toast's architectural standards, PR patterns, and quality practices directly into AI assistant behavior
• Lead technical design and implementation of MCP (Model Context Protocol) services and no-code service templates that accelerate AI-powered development across Toast
• Drive adoption of agentic development practices through tooling, internal evangelism, and hands-on enablement across engineering teams
• Mentor engineers through code reviews, architecture discussions, and pairing sessions
• Partner with product and platform teams to define and expand the AI Foundations roadmap

What you'll need to thrive (Requirements)

• 8+ years of experience designing and implementing scalable backend services
• Strong foundation in Java, Kotlin, or another object-oriented language, with experience building scalable backend services
• Demonstrated experience building, deploying, or operating LLM-powered agents or AI-assisted developer tooling
• Deep familiarity with AI coding assistants (e.g., Claude Code, Cursor, GitHub Copilot) and the ability to extend them through custom plugins, skills, or hooks
• Hands-on experience with MCP (Model Context Protocol), tool use patterns, or agentic frameworks
• Strong prompt engineering skills and intuition for how LLM behavior changes with context, instructions, and tool definitions
• Proven track record of technical leadership: influencing architecture decisions, setting quality standards, and mentoring peers
• Experience with distributed systems, API design, and cloud-native infrastructure
• Strong customer empathy and the ability to translate developer pain points into platform solutions

What will help you stand out

• Familiarity with A2A (Agent-to-Agent) protocols and multi-agent orchestration patterns
• Experience with machine learning concepts, model evaluation, or ML infrastructure
• Experience building developer experience platforms, internal tooling, or API gateways
• Familiarity with observability tooling for AI/LLM systems (e.g., Langfuse, DataDog)

This is a hybrid role with 2 days per week in the Bengaluru office

AI at Toast

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

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

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

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

You Will:

Model and Pipeline Automation 

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

Governance & Compliance

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

Performance Monitoring

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

Cross-Functional Collaboration

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

Architecture and Infrastructure Management

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

You Have:

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

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

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

You Will:

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

You Have:

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

Nice to Have

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

As a global leader in Collaborative Work Management and with a market cap of $10bn we’ve experienced incredible growth in EMEA, expanding from 1 team and 3 engineers in 2018 to 9 teams with over 70 engineers in 2024. As we expand into India and build out a new operation, we're searching for a talented and motivated Principal Analytics Engineer (Data Architect) to serve as a thought leader in our data-driven decision-making. You will be responsible for the end-to-end system design and architecture of our business critical analytical systems (DWs). This role will be responsible for the design and development of a governed, reliable, and scalable analytics ecosystem, transforming raw data into high-value, performant data products for DS/ML, analytics, and reporting.

A key aspect of this role is providing thought leadership and architecting efficient, large-scale data transformation systems within Snowflake. You will have demonstrated experience architecting data solutions for SaaS companies, specifically within the Go-To-Market (GTM), Marketing, Customer Experience, and Financial business domains. Working as a strategic advisor to BI analysts, Data Scientists, and business leadership, you will drive the organization's data strategy, ensure data accessibility, and foster data democratization across the enterprise.

This full-time position reports to the Director of Analytics Engineering and is based in Smartsheet’s corporate offices in Bengaluru, India.

You Will:

• Lead the end-to-end system design and architecture for large, complex analytics systems, optimizing data transformations from our data lake in Snowflake into analytical data products (DWs).
• Define and drive the adoption of design standards, architectural principles, and data modeling methodologies (including Data Vault (DV 2.0) and dimensional modeling) across the organization.
• Propose and drive strategic initiatives and coordinate the technical roadmap for analytical systems across the engineering organization partnering closely with the Big Data Platforms (BDP) team.
• Serve as the data architect for critical SaaS business domains, including Go-To-Market, Marketing, Customer Experience, and Finance, translating ambiguous business problems into scalable technical analytical solutions.
• Develop and implement the organization's data strategy for data quality, observability, and testing, raising the bar for engineering quality.
• Architect and guide teams to build and maintain a governed, robust, reliable, and scalable analytics system leveraging Gen AI capabilities including AI-assisted code development practices.
• Act as a trusted advisor to BI analysts, data scientists, and business leaders, educating and advising leadership on technical data topics and data accessibility strategies.
• Foster data democratization via activation of data on critical platforms like Smartsheet Platform, Amplitude, ThoughtSpot, Gainsight & Salesforce.
• Actively mentor analytics engineers and provide mentorship across disciplines, leading forums such as guilds, design reviews, and engineering forums.
• Collaborate with cross-functional teams to assess data privacy needs and define data masking strategies aligned with industry compliance standards (e.g., GDPR, HIPAA, CCPA).

You Have:

• 12+ years of experience in advanced data modeling, data architecture, and data warehousing. This role is expected to do development activities in combination of the data architecture scope, so hands-on experience is necessary.
• Deep expertise and 10+ years of hands-on experience with Data Vault (DV 2.0) and Dimensional Modeling.
• Expert-level knowledge of modern data stacks, including Snowflake, dbt, and data orchestration tools (e.g., Airflow, GitLab pipelines).
• Proven experience architecting and building analytical products for SaaS companies in GTM, Marketing, Customer Experience, and Financial data domains.
• Comprehensive understanding of data topologies (e.g., data mesh, hub/spoke) and data modeling methodologies (e.g., Data Vault, Kimball, Inmon).
• Demonstrated ability to drive clarity in ambiguous environments where the strategy may not be defined.
• Proven experience with building and maintaining business analytics layers and semantic layers to enable self-service for non-technical end-users.
• Strong production experience supporting and maintaining analytics/data warehouse solutions with mission-critical datasets.
• Exceptional communication skills, with experience educating and advising senior leadership and mentoring teams across disciplines.
• Strong knowledge of data governance principles, CI/CD practices (e.g., GitLab), self-serve analytics tools (e.g., Amplitude, ThoughtSpot), and cloud architectures (AWS preferred).

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

You Will:

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

You Have:

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

About the role 

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

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

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

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

What you'll do

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

AI & Intelligent Automation Responsibilities

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

Stakeholder, Security, and Platform Responsibilities

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

Experience you'll need

• Education & Experience

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

Technical Skills – API Engineering

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

Technical Skills – Integration & Platforms

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

Soft Skills

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

Preferred Qualifications

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

About the team and role:

We are seeking a highly experienced and strategic and visionary Enterprise Architect to join our Rubrik IT Enterprise Architecture team, focusing on the intersection of our IT Enterprise Applications, Integrations, Automations, Data, Cloud, AI, and Security with our robust Information Security policies and the Risk control frameworks. This role is critical for aligning our IT technical vision and strategy with our business goals and corporate objectives ensuring the delivery of scalable, secure, and resilient platforms for our internal IT teams and Business Operations teams. The ideal candidate will have deep expertise in enterprise architecture, integration patterns, full-stack engineering solutions, Cloud, DevOps, and cybersecurity principles. Your role will bridge the gap between business objectives and technical execution, ensuring that all architectural decisions align with our Business operations strategies and guiding principles.

What you'll do:

Strategy and Roadmap

• Business-IT Alignment: Translate the overall business strategy (goals, objectives, and priorities) into a coherent, executable IT strategy and architecture vision.
• Architectural Vision: Define and maintain the Target State Architecture (Future State) for the entire enterprise, encompassing Business, Data, Application, and Technology domains.
• Roadmapping: Develop and govern the multi-year Architectural Roadmap that guides the transition from the current-state architecture (Baseline) to the target state, prioritizing initiatives to maximize business value.
• Technology Evaluation: Conduct horizon scanning and evaluate emerging technologies (e.g., AI, Cloud services, new security platforms) to determine their potential impact and strategic fit for the business.

Governance and Standards

• Architectural Governance: Establish, enforce, and maintain Architectural Principles, Decision Trees, Standards, and Enterprise Patterns across the organization to ensure consistency, quality, and interoperability.
• Review and Assurance: Lead the Architecture Review Council (ARC) process to review and approve all major IT projects, tools and solutions, ensuring compliance with defined standards and the overall enterprise vision by meeting periodically with the identified federated domain and solution architects and/or business process owners or architects
• Risk and Compliance: Ensure all architectural designs inherently comply with regulatory requirements (e.g., GDPR, SOC 2, SOX, FedRAMP, and industry-specific standards) and address technical risks like security vulnerabilities and scalability limitations by partnering with InfoSec, Internal Audit, Legal and Privacy teams

Design and Guidance

• Blueprint Creation: Create, document, and maintain essential architectural artifacts and models (e.g., using frameworks like TOGAF or Archimate) to provide a holistic view of the enterprise.
• Complexity Reduction: Identify and drive initiatives to rationalize the existing application portfolio, reduce technical debt, and simplify the overall IT landscape to improve agility and reduce costs.
• Cross-Domain Leadership: Provide technical and strategic direction to solution architects, domain architects (Applications, Integrations, Automations, Cloud, AI, Data, Security, Infrastructure), and delivery teams on complex, cross-functional programs.

Stakeholder Management and Communication

• Stakeholder Alignment: Collaborate with senior leaders, and ITLT (IT Leadership Team) members, and business Ops leaders to articulate the value of architecture and align technology investment decisions with organizational priorities.
• Communication: Clearly articulate and present complex technical concepts, trade-offs, and architectural decisions to both technical and non-technical audiences.
• Mentorship: Mentor and coach other federated architects and technical staff on best practices, strategic thinking, and the application of architectural standards.

Experience You’ll Need:

• Experience: 15+ years in Information Technology, with at least 5 years in an Enterprise Architect or equivalent senior architectural role.
• Domain Expertise: Proven experience in designing and implementing architectures for B2B platforms, including APIs, integration patterns (e.g., EDI, message queuing, event-driven), Experienced in providing solution architecture to the GTM, G&A Finance, Legal, Customer Support business functions
• Cybersecurity Acumen: Deep understanding of core cybersecurity domains (e.g., threat modeling, network security, application security, cloud security, and data encryption).
• Technical Skills: Expertise with Integrations, Automations, GenAI, Cloud Native Architectures (e.g., AWS, Azure, GCP), microservices, Event Driven Architectures, containerization (Docker, Kubernetes), APIs, and DevOps/CI/CD pipelines.
• Frameworks: Strong knowledge of architecture frameworks such as TOGAF or the Zachman Framework.
• Certifications (Preferred): Relevant certifications such as CISSP, CISM, Certified Cloud Architect (e.g., AWS Certified Solutions Architect - Professional), or Open Group Certified Architect (TOGAF).

Position Summary:

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

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

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

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

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

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

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

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

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

Qualifications: 

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

Other Required:

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

Preferred:

• CRO experience as a Clinical Data Engineer or Programmer

Skills:

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

Competencies

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

Position Summary:

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

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

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

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

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

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

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

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

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

Qualifications: 

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

Other Required:

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

Preferred:

• CRO experience as a Clinical Data Engineer or Programmer

Skills:

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

Competencies

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

About WPP Media 

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

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

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

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

Key Responsibilities: 

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

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

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

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

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

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

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

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

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

Senior-Level Expectations: 

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

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

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

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

Required Skills 

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

Good to Have 

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

Life at WPP Media & Benefits 

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

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

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

#LI-GOC

We are looking for a forward-thinking intern who lives at the intersection of Human Resources, Process Architecture, and Artificial Intelligence. You won't just be managing paperwork; you will be the architect of our digital transformation. Your mission is twofold: optimizing our talent acquisition engine using AI, and mapping the "Rubrik Journey" by streamlining workflows and building a world-class internal knowledge base.

What You’ll Do:

• AI & Systems Integration: Assist in the rollout of AI to revolutionise how we source and engage talent, ensuring seamless connectivity across our tech stack.
• TA Process Architecture: Design and scale standardised recruitment workflows—from intake meetings to offer generation—to ensure a high-velocity, bias-free hiring experience.
• Process Mapping & Architecture: Partner with HR, Payroll, and IT to document end-to-end workflows (onboarding, internal mobility, etc.) to bring clarity to global People processes.
• Knowledge Management: Build and maintain an AI-ready "PeopleOps Wiki," ensuring employees and candidates have self-service access to human-friendly information.
• Data-Driven Insights: Create dashboards to track the efficacy of AI-driven sourcing and identify "moments of truth" in the employee lifecycle to boost retention.
• Enablement: Create "How-To" guides and lead training sessions for the global team on new AI features and standardised SOPs.

Who You Are:

• The Tech-Savvy HR Pro: Pursuing an MBA/Master’s in HR, Business, or Data Science with a genuine obsession with Generative AI and automation.
• AI Systems Fluency: You’ll act as our "AI specialist", using tools like Glean for cross-platform knowledge retrieval. You will assist the team in using LLMs (like Claude or Gemini) to synthesise complex policy documents and help structure data to improve our internal workflows.
• Data Literacy: Ability to use Google Sheets to track "What’s working?" and "What’s not?" using basic formulas and charts.
• Workflow Mapping: You can visualise a journey (like a new hire’s first day) and identify exactly where the "friction" or "manual gaps" are.
• Detail Auditing: A "sharp eye" for catching errors in policy documents or data sets before they reach the employee.
•  Clarity-First Communicator: You can translate "legal-speak" and complex policies into simple, engaging, and inclusive language

Reports To

Director, NOC Delivery & Automation

What You Will Be Doing

• Lead the development of cutting-edge AI solutions across Voice AI, Computer Vision, and Conversational AI domains.
• You will architect and build production-grade AI systems that enhance our monitoring and analytics platform, improve customer support experiences, and enable intelligent automation across our EV charging infrastructure.
• Work closely with cross-functional teams to design, build, and deploy AI-powered solutions that directly improve the experience for millions of EV drivers and operators worldwide.

What You Will Bring to ChargePoint

• Deep expertise in Python, FastAPI, Django, and modern backend frameworks for AI service development
• Hands-on experience with LLM engineering: LangChain, LangGraph, Amazon Bedrock/OpenAI APIs, prompt engineering, and RAG architectures
• Strong experience with Elasticsearch including vector search, hybrid search (BM25 + dense embeddings), and semantic retrieval
• Proficiency with vector databases (Qdrant, ChromaDB, Pinecone) and embedding-based retrieval systems
• Experience building production LLM systems with focus on low-latency inference, caching strategies, and observability
• Strong foundation in distributed systems design, microservices architecture, and event-driven patterns (Kafka, RabbitMQ)
• Experience with cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines
• Strong knowledge of PostgreSQL (query optimization, schema design), Redis, MongoDB, and message queues
• Track record of optimizing system performance with measurable improvements (latency reduction, cost optimization)

Requirements

• 8+ years of software engineering experience with 4+ years focused on AI/ML systems in production
• Tech/B.E. or M.S. in Computer Science, Machine Learning, or related field from a top-tier institution
• Experience with Voice AI systems, telephony integrations (Genesys, SIP), and speech processing pipelines
• Background in computer vision, image processing, or visual transformer architectures
• Data engineering experience with Airflow, DBT, and analytics platforms (ClickHouse, Trino, Iceberg)
• Experience working with massive datasets (50TB+) and building scalable data pipelines
• Hands-on experience with model fine-tuning techniques (LoRA/QLoRA) for domain-specific applications
• Familiarity with RLHF-style preference tuning and model alignment techniques
• Experience with observability and monitoring stacks including metrics, logging, and tracing
• Certifications in Generative AI, Agentic AI, or related specialization.

Location

Bangalore, India

THE ROLE

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

WHAT YOU’LL DO

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

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

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

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

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

WHAT YOU BRING

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

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

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

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

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

THE ROLE

As a Senior Staff Engineer on the Fleet Insights team, you will architect the backend intelligence that manages one of the world’s most advanced storage fleets. You’ll lead the technical strategy for high-throughput observability systems, transforming massive telemetry streams into automated root-cause solutions. Collaborating with cross-functional architects, you will solve systemic scale challenges that directly ensure the global reliability of Pure Storage’s infrastructure.

WHAT YOU’LL DO

• Architect Scalable Intelligence: Design and implement distributed, fault-tolerant systems for telemetry ingestion and real-time event detection, targeting $99.9999\%$ availability for mission-critical fleet observability.

• Drive Technical Strategy: Lead cross-team architectural initiatives that align long-term platform goals with product innovation, ensuring our services scale ahead of global data growth.

• Lead the Innovation Lifecycle: Own the end-to-end journey from initial prototyping of predictive fault algorithms to deploying hardened, high-impact services into production.

• Optimize Operational Excellence: Partner with Data Engineering and Support teams to define robust APIs and data models that improve developer productivity and automate complex system diagnostics.

• Influence Engineering Culture: Foster a high-performance environment through technical mentorship and design leadership, setting the standard for code resiliency and system maintainability across the organization.

WHAT YOU BRING

• Systems Mastery: Expert-level proficiency in backend languages (such as Go, Python, or Java) with a proven track record of building large-scale distributed systems, message queues (Kafka), or stream processing frameworks.

• Architectural Leadership: Demonstrated ability to lead complex, multi-team technical initiatives, making principled trade-offs between performance, scalability, and long-term maintainability.

• Data & Observability Expertise: Deep understanding of telemetry pipelines, log analytics, or cloud-native architectures (AWS/GCP) used to drive automated insights from high-throughput data streams.

• Strategic Communication: Ability to articulate a clear technical vision to both engineering peers and product leadership, translating business requirements into elegant, scalable software solutions.

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

THE ROLE

Join our Modern Virtualization team to engineer the next generation of enterprise storage for cloud-native and virtualized environments. You will architect and deploy best-in-industry Kubernetes, Nutanix, and OpenStack integrations, bringing enterprise-grade storage mobility and automation directly to our customers’ mission-critical workloads. You’ll collaborate closely with global engineering leads to design robust, production-ready code that defines the future of our storage ecosystem and ensures seamless platform interoperability.

WHAT YOU'LL DO

• Feature Architecture & Development: Architect, develop, and deliver scalable features across Kubernetes (OpenShift), OpenStack, and Nutanix stacks for FlashArray and FlashBlade, ensuring seamless, enterprise-grade storage performance for virtualized platforms.

• End-to-End Ownership: Own the full lifecycle of your features, from initial design and implementation to writing rigorous test automation, guaranteeing high reliability and stability for mission-critical production workloads.

• Cross-Functional Collaboration: Partner with engineering teams across geographies to drive design reviews, troubleshoot complex distributed system challenges, and continuously elevate our engineering practices, code quality, and test coverage.

WHAT YOU'LL BRING

• Core Engineering Proficiency: Deep hands-on expertise in building production-grade software using Go, Java, or Python, with a proven ability to deliver robust, maintainable code in a Linux-based environment.

• Full-Lifecycle Development: A strong commitment to quality, evidenced by your experience owning both the development of complex features and the creation of comprehensive test automation frameworks.

• Systems & Infrastructure Mindset: A technical foundation in distributed systems or container orchestration (such as Kubernetes), with the desire to tackle the unique challenges of enterprise storage mobility and provisioning.

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

THE ROLE

Join the FlashArray engineering team to build the industry’s most innovative, high-performance storage portfolio designed for mission-critical applications. You will drive the evolution of a product where 90% of the innovation is driven by software, ensuring our customers achieve "six nines" of availability without ever experiencing downtime. Collaborating with world-class engineers, you will bridge the gap between hardware-bound performance and cloud-native agility to redefine how the world manages data.

WHAT YOU'LL DO

• Architect High-Availability Systems: Design and implement sophisticated algorithms and data structures that ensure 99.9999% reliability and industry-leading performance for enterprise-grade storage.

• Drive End-to-End Innovation: Own the full development lifecycle from initial concept and prototyping to shipping production-ready code that directly impacts our global customer base.

• Solve Complex Systems Challenges: Analyze and resolve deep-seated technical bottlenecks in distributed systems and kernel-level software to maintain a seamless user experience.

• Expand Multi-Cloud Capabilities: Contribute to the integration of FlashArray services with public cloud providers (like AWS), enabling customers to leverage hybrid-cloud mobility for traditional and cloud-native workloads.

WHAT YOU BRING

• Systems Programming Expertise: Deep technical proficiency in languages such as C, C++, Python, Go, or Java, with a track record of building robust, scalable software.

• Low-Level Systems Knowledge: Practical experience in areas such as distributed systems, operating system internals (Linux Kernel), database internals, hypervisors, or container orchestration.

• Collaborative Design Sensibility: A proven ability to translate complex problems into elegant designs while working effectively within a high-energy, peer-inspired engineering team.

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

THE ROLE

The FlashBlade team builds the industry’s most innovative, high-performance, and highly available portfolio of products that are designed for the most demanding mission critical applications.  While we deliver a hardware storage array, over 90% of our engineering staff are software engineers. Our customers are the most important part of our business and they love FlashBlade for its simplicity of management, the constant flow of new and exciting upgrades, and ability to live on the cutting edge of technology while never taking downtime, ever. FlashBlade enables our customers to leverage the agility of the public cloud for both traditional IT and cloud-native applications. You’ll architect, implement, and optimize core services that span on-premises arrays and cloud deployments—delivering seamless storage experiences to enterprises around the globe. If you thrive on solving hard problems, influencing technical direction, and driving innovation end-to-end, this is the role for you.

WHAT YOU'LL DO

• Manage the full software development life cycle, from initial architecture and invention through development, release, and ongoing maintenance.

•  Drive the technical strategy by influencing system design, architecture, and best practices, specifically contributing to the evolution of the FlashBlade Networking product area.

• Invent and optimize algorithms to orchestrate multi-array and multi-cloud storage systems, focused on achieving industry-leading resiliency and performance.

•  Collaborate with world-class engineers across global sites (Silicon Valley, Prague, and Bengaluru) to deliver impactful, customer-focused features.

• Own features from concept to production, ensuring observability and efficiency, while also mentoring engineers and championing a culture of code quality.

WHAT YOU BRING

• Extensive Experience and Education: Must possess 18+ years of experience developing and implementing high-performance networking products, coupled with a Bachelor's or higher degree in Computer Science, Computer Engineering, or Electrical Engineering.

• Networking and Low-Level Systems Expertise: Requires significant domain knowledge of the Networking stack, with hands-on experience in systems development including IPv4/IPv6, API design, distributed systems, and/or device drivers.

• Hardware and Kernel Proficiency: Must have hands-on experience with the Broadcom SDK, familiarity with modern switch silicon features (like ECMP, QoS), and direct experience with Linux Kernel or device driver development.

• Core Engineering Skills: Demonstrated strong problem-solving, debugging, algorithmic, and coding skills, driven by a natural curiosity to design, implement, and rigorously test product components.

• Soft Skills and Team Collaboration: Must be flexible, accountable, and have excellent communication skills, thriving in a highly collaborative and globally distributed team through self-discipline, self-motivation, and an appreciation for soft skills.

THE ROLE

Join our Modern Virtualization team to engineer the next generation of enterprise storage for cloud-native and virtualized environments. You will architect and deploy best-in-industry Kubernetes, Nutanix, and OpenStack integrations, bringing enterprise-grade storage mobility and automation directly to our customers’ mission-critical workloads. You’ll collaborate closely with global engineering leads to design robust, production-ready code that defines the future of our storage ecosystem and ensures seamless platform interoperability.

WHAT YOU'LL DO

• Feature Architecture & Development: Architect, develop, and deliver scalable features across Kubernetes (OpenShift), OpenStack, and Nutanix stacks for FlashArray and FlashBlade, ensuring seamless, enterprise-grade storage performance for virtualized platforms.

• End-to-End Ownership: Own the full lifecycle of your features, from initial design and implementation to writing rigorous test automation, guaranteeing high reliability and stability for mission-critical production workloads.

• Cross-Functional Collaboration: Partner with engineering teams across geographies to drive design reviews, troubleshoot complex distributed system challenges, and continuously elevate our engineering practices, code quality, and test coverage.

WHAT YOU'LL BRING

• Core Engineering Proficiency: Deep hands-on expertise in building production-grade software using Go, Java, or Python, with a proven ability to deliver robust, maintainable code in a Linux-based environment.

• Full-Lifecycle Development: A strong commitment to quality, evidenced by your experience owning both the development of complex features and the creation of comprehensive test automation frameworks.

• Systems & Infrastructure Mindset: A technical foundation in distributed systems or container orchestration (such as Kubernetes), with the desire to tackle the unique challenges of enterprise storage mobility and provisioning.

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

Senior Database Solution Architect - Oracle (US/EST timezone)

Job Overview

As a Senior Database Solutions Architect, you will serve as a pre-sales specialist, supporting the broader sales organization with deep technical knowledge across database workloads. This means working with customers and prospects to educate them on how Rubrik protects and manages data. Additionally, the Solution Architect will have an active role in providing real world feedback to product teams to enhance the product, testing new features before they are released, and championing new features within the sales team. The Solutions Architect provides both immediate and long term impact with their technical knowledge and position of influence with prospects and customers.

Key Responsibilities

• Serve as a subject matter expert on Rubrik’s data protection and data security solutions, focussed on database workloads deployed either on-prem or in the cloud.
• Act as a trusted advisor on assigned opportunities, aligning Rubrik’s technology and roadmap with customer business objectives.
• Lead impactful product demonstrations, technical workshops, and solution presentations tailored for technical and executive-level audiences.
• Support customers based in North America; must be comfortable working in the US Eastern Time Zone (ET)
• Contribute to high-quality proposals, white papers, and responses to RFPs/RFIs.
• Collaborate with presales teams to design, execute, and troubleshoot proof-of-concepts (POCs), ensuring successful outcomes.
• Proactively identify technical challenges and architect creative solutions to overcome sales barriers.
• Translate complex customer requirements into clear, actionable technical strategies.
• Stay abreast of industry trends in data protection, security, database and cloud technologies, effectively positioning Rubrik’s solutions.
• Evangelize Rubrik’s offerings and clearly communicate strategic direction and product roadmap aligned with customer needs.
• Work closely with Product Management and Engineering to influence feature development based on customer feedback and market demands.
• Provide competitive intelligence and actionable insights from customer engagements to internal stakeholders.

Qualifications

• 10+ years of successful experience in customer-facing technical sales or consulting roles focused on enterprise database technologies and cloud.
• Bachelor’s Degree in Computer Science, Engineering, or equivalent experience.
• Core expertise: Deep technical proficiency in at least two of the following areas:
• Oracle Stack: Oracle RAC with ASM, Pluggable databases, Data Guard, Golden Gate, Exadata and ExaCC/CS
• Cloud DB Architectures: Design and management of IaaS/PaaS databases within major cloud ecosystems (OCI, AWS, Azure, or GCP).
• Secondary Competencies: Proficiency or working knowledge of
• NoSQL/Distributed: MongoDB, Apache Cassandra.
• Relational DBs: SQL Server, IBM DB2, Informix, PostgreSQL.
• Proficiency in scripting languages such as Python, PowerShell, Go, or JavaScript.
• Excellent problem-solving capabilities, able to troubleshoot complex technical issues and deliver scalable solutions.
• Experience conducting benchmarks and performance testing on enterprise systems (preferred).
• Demonstrated sales acumen, capable of articulating technical value to C-level executives and technical audiences including database administrators.
• Strong cross-functional collaboration skills with sales, engineering, and product management.
• Exceptional communication skills, including compelling presentations and clear, concise writing.
• Proven experience with data center hardware/software, cloud platforms, data security solutions, IaaS, PaaS, or hypervisor software.
• Self-motivated and results-driven, comfortable working remotely with a high degree of autonomy.
• Flexible and willing to travel (approximately up to 20%) for client meetings and site visits.
• Work location: Bengaluru, India

About the team 

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

About the role

The Staff Cloud Security Architect will serve as a critical subject matter expert, responsible for defining, designing, and implementing secure cloud architectures and solutions across our enterprise environments. As a key technical leader, you will collaborate with engineering and cross-functional teams across Rubrik to integrate security across all aspects of cloud deployment, operations, and management. Your strategic insights will help shape cloud security strategies, reference architectures, governance frameworks, and compliance requirements. Your deep technical expertise, ability to influence, build and establish best practices, and thought leadership will ensure the secure enablement of our cloud technologies across our hybrid and public cloud environments. This is a hands-on technical role, and you will be expected to rely on your extensive cloud expertise to make an immediate impact on existing and new initiatives.

What you'll do

• Define and implement cloud security architecture frameworks, principles, and guidelines to secure enterprise cloud environments and workloads.
• Collaborate with cross-functional teams to ensure security maturity initiatives are prioritized effectively and addressed in a timely and sustainable manner.
• Partner with cloud security architects, developers, and engineers to design scalable solutions addressing complex infrastructure-related security challenges.
• Design, build proof of concept, tools, and platforms to proactively address and resolve security issues at scale.
• Conduct architecture reviews, security assessments, threat modeling, and risk analysis of cloud-native services and infrastructure.
• Establish secure reference architectures, reusable cloud security patterns, standards, and best practices to ensure consistency in cloud deployments at scale.
• Lead efforts related to strategic planning and continuous improvement of cloud security capabilities, including public cloud native security products and third-party cloud security tools.
• Partner with incident response teams and SOC analysts to ensure effective processes and technology are in place to quickly detect, investigate, and mitigate cloud security incidents.

Experience you'll need

• Bachelor’s or Master’s degree in computer science, Information Technology, or related fields.
• 15+ Years of experience securing complex on-prem or cloud deployments with a minimum of 6+ years of dedicated experience in cloud security architecture and design, including significant experience across AWS, GCP, and/or Azure environments.
• Deep technical understanding of core cloud service models, including compute, network, and storage technologies on AWS, GCP, and/or Azure platforms.
• Proficiency in at least one programming language or scripting language such as Python, Go, or Java for automating and managing security tools and processes.
• Extensive working experience with containerized applications (Kubernetes, Docker), CI/CD pipelines, and microservices architectures.
• 5+ years of experience with IAC (Infrastructure as a Code) deployments for complex systems [Terraform, Ansible etc]
• Demonstrated expertise in articulating complex technical issues clearly to both security specialists and non-technical stakeholders.

Additional skills

• Effective communication skills, both written and verbal, with the ability to convey complex information clearly to technical and non-technical audiences.
• Strong analytical and problem-solving skills, with the ability to lead cross-functional collaborations and drive technical security initiatives.
• Ability to quickly learn, adapt, and lead in fast-paced and dynamic technical environments.

About the role:

As a Sr. Manager, Platform & Architecture you will lead the definition, governance & continuous evolution of the enterprise data architecture vision and roadmap, ensuring strong alignment with business strategy and digital transformation goals. This role is accountable for establishing modern, secure, and scalable data platform architectures that enable advanced analytics, AI/ML, generative AI, and self service data capabilities across the organization.

You will provide strategic leadership in embedding AI into the enterprise data platform, enabling use cases such as predictive analytics, intelligent automation, and generative AI, while ensuring responsible AI practices, model governance, data quality, and regulatory compliance.

The role requires deep expertise in data architecture, cloud data platforms, analytics ecosystems, and platform security, combined with strong people and stakeholder management skills. You will guide the evaluation and adoption of emerging technologies, oversee PoC initiatives, and drive the operationalization of AI/ML and GenAI solutions.

Working closely with data engineering, analytics, AI/ML, security, and business leaders, you will ensure the delivery of trusted, high performing, and future ready data and AI platforms that scale with organizational needs.

What you'll do:

Strategic Leadership & Architecture Vision

• Define and own the enterprise data architecture vision and roadmap aligned with business strategy.
• Establish architectural principles, standards, and best practices across data modeling, integration, metadata, and analytics
• Guide architectural decisions to support scalability, performance, security, and future growth.
• Evaluate and approve new data technologies, platforms, and tools

Team Management & Development

• Lead, mentor, and manage data modelers & architects, platform engineers and data engineers
• Set goals, conduct performance reviews, and support career growth and skills development
• Ensure effective workload planning, prioritization, and resource allocation
• Promote a culture of collaboration, documentation, and architectural discipline

Data Platform & Architecture Design

• Design and oversee end to end data architectures, including ingestion, storage, processing, analytics, and consumption layers
• Define scalable patterns for batch, near real time, and streaming data processing
• Establish standards for data platforms, ingestion frameworks, transformation and modeling approaches, and BI/visualization tools
• Ensure platform reliability, performance, scalability, and cost optimization

Platform Engineering, Security & Governance

• Architect platforms with security by design, including IAM, RBAC, data encryption, masking, and auditing
• Collaborate with security and compliance teams to meet regulatory and data privacy requirements
• Define and enforce data governance standards, including metadata management, lineage, data quality, and observability
• Support platform monitoring, availability, and operational excellence

Advanced Analytics & Innovation

• Enable advanced analytics use cases, including forecasting, predictive modeling, and statistical analysis
• Support data science and analytics teams by designing architectures for ML pipelines, feature stores, and model deployment
• Lead Proof of Concept (PoC) initiatives to evaluate new data, analytics, and platform tools
• Assess emerging technologies for scalability, security, integration, and business value

Self-Service & Data Enablement

• Drive the self-service analytics strategy to empower analysts and business users
• Design curated, governed data layers and semantic models for trusted self-service access
• Reduce dependency on IT by enabling reusable data assets and standardized analytics frameworks
• Partner with stakeholders to align data products with business needs

Experience you'll need:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field
• 10 - 15+ years of experience in data engineering, analytics, or platform architecture roles
• Strong experience designing and implementing modern data architectures and cloud data platforms.
• Hands-on and architectural experience with:
  • Snowflake or similar cloud data warehouse/data lake experience
  • Tableau or similar BI tools
  • Fivetran or equivalent ingestion tools
  • dbt or similar data transformation frameworks
• Proficiency in SQL, Python, Spark, and data modeling techniques.
• Experience with cloud platforms such as AWS, Azure, or GCP

Preferred Qualifications:

• Experience with advanced analytics, forecasting, and predictive modeling.
• Knowledge of ML/AI platforms and MLOps concepts.
• Strong understanding of data security, governance, and compliance frameworks.
• Excellent communication and stakeholder management skills.
• Experience working in large-scale or enterprise Data & Analytics environments.

About The Team: 

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

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

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

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

What you’ll do: 

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

Experience you’ll need:

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

Additional skills or certifications a plus :

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

Cyber Resilience Architect, APJ

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

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

Role Overview

We’re looking for a Staff Software Engineer to serve as a technical pillar across our engineering teams. This role is ideal for a highly experienced backend engineer who thrives on solving hard problems, mentoring others, and guiding architecture across multiple domains. You’ll be a multiplier, operating independently, shaping technical direction, and partnering with engineers 
and product teams to raise the bar across the organization. 

You’ll work across squads to improve system performance, reliability, and scalability, while owning high-impact projects that support our Advertising platform. Whether it’s unblocking performance bottlenecks, leading design for new backend services, or reducing tech debt, your contributions will have a far-reaching impact. 

This is a high-impact role where you will not only write mission-critical code but also provide the AI-driven roadmap to help our team automate optimizations and anomaly detection within our data pipelines. 

Core Responsibilities 

• Own and lead design for major backend systems across Ads, focusing on performance, scalability, and reliability. 

• Serve as the subject matter expert for Python & Django. You will optimize application performance, focusing on concurrency, memory management, and efficient integration with our data layer. 

• Architect and optimize large scale data workflows for Ads. You will be expected to tune complex queries in Hive, Flink, or Trino to reduce latency and cost while maintaining data integrity. 

• Actively profile our stack to identify bottlenecks. You should be comfortable moving between high-level architectural planning and low-level query optimization. 

• Guide the engineering team in leveraging AI and Machine Learning for predictive analytics, automated QA of data streams, and enhancing our internal decision-making engines.  

• Collaborate with multiple teams to address cross team concerns (e.g., shared libraries, infra patterns, tech debt, security) 

• Tackle escalated production issues / incidents by providing quick remediations 

• Raise the engineering bar through elite code review, technical RFCs and hands on guidance for senior and mid-level engineers. 

• Work with EMs and PMs to shape technical roadmap and support long-term platform health. 
   

Technical Requirements 

• 10+ years in backend engineering with a proven track record of scaling systems in Ad-Tech, Fintech or High-Scale SaaS. 

• Deep expertise in building high concurrency, asynchronous services. You know how to scale Django beyond standard patterns. 

• Strong experience with distributed systems (e.g. Flink, Spark, Hive or SingleStore). You are an expert at optimizing distributed joins and partitioned datasets. 

• Advanced SQL skills; you can dissect an execution plan and optimize complex analytical queries for both performance and cloud cost. 

• Experience managing “Sync vs Async” data flows and ensuring consistency across disparate data stores 

• Experience with containerization technologies such as Docker and Kubernetes. 

• Familiarity with CI/CD pipelines and modern DevOps practices. 

• Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders is a must. 

• Proven leadership experience, including mentoring engineers and leading technical initiatives. 
   

Ideal Candidate 

• The Pragmatic Architect: You understand the trade-offs between “perfect” code and “performant” code in a high throughput environment. 

• The Data Integrity Advocate: You care deeply about how data is captured at the source just as much as how it is processed at scale. 

• The Force Multiplier: You don’t just solve problems; you build systems and processes that prevent them from recurring. 

• The Mentor: You thrive on helping others grow and can explain complex architectural concepts to both engineers and stakeholders. 

Reports To

Director, NOC Delivery & Automation

What You Will Be Doing

• Lead the development of cutting-edge AI solutions across Voice AI, Computer Vision, and Conversational AI domains.
• You will architect and build production-grade AI systems that enhance our monitoring and analytics platform, improve customer support experiences, and enable intelligent automation across our EV charging infrastructure.
• Work closely with cross-functional teams to design, build, and deploy AI-powered solutions that directly improve the experience for millions of EV drivers and operators worldwide.

What You Will Bring to ChargePoint

• Deep expertise in Python, FastAPI, Django, and modern backend frameworks for AI service development
• Hands-on experience with LLM engineering: LangChain, LangGraph, Amazon Bedrock/OpenAI APIs, prompt engineering, and RAG architectures
• Strong experience with Elasticsearch including vector search, hybrid search (BM25 + dense embeddings), and semantic retrieval
• Proficiency with vector databases (Qdrant, ChromaDB, Pinecone) and embedding-based retrieval systems
• Experience building production LLM systems with focus on low-latency inference, caching strategies, and observability
• Strong foundation in distributed systems design, microservices architecture, and event-driven patterns (Kafka, RabbitMQ)
• Experience with cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines
• Strong knowledge of PostgreSQL (query optimization, schema design), Redis, MongoDB, and message queues
• Track record of optimizing system performance with measurable improvements (latency reduction, cost optimization)

Requirements

• 8+ years of software engineering experience with 4+ years focused on AI/ML systems in production
• Tech/B.E. or M.S. in Computer Science, Machine Learning, or related field from a top-tier institution
• Experience with Voice AI systems, telephony integrations (Genesys, SIP), and speech processing pipelines
• Background in computer vision, image processing, or visual transformer architectures
• Data engineering experience with Airflow, DBT, and analytics platforms (ClickHouse, Trino, Iceberg)
• Experience working with massive datasets (50TB+) and building scalable data pipelines
• Hands-on experience with model fine-tuning techniques (LoRA/QLoRA) for domain-specific applications
• Familiarity with RLHF-style preference tuning and model alignment techniques
• Experience with observability and monitoring stacks including metrics, logging, and tracing
• Certifications in Generative AI, Agentic AI, or related specialization.

Location

Bangalore, India

Position summary: 

This role focuses on scaling presales execution and delivery excellence for Cisco-aligned services. You will support US-based enterprise customers, Cisco sellers, and partners by owning solution design, POCs/POVs, and delivery oversight, while contributing to practice standardization and profitability. This is a hands-on architecture role, well-suited for professionals from system integrators, Cisco partners, or enterprise IT services backgrounds.

Key Responsibilities:

Presales & Solution Architecture

• Lead solution architecture and presales support for Cisco-aligned services and offerings
• Work closely with Cisco sales teams, partners, and US enterprise customers
• Own end-to-end solution design, including requirement gathering, architecture, and technical validation
• Create high-level and low-level designs aligned with customer business and technical needs

Technology Focus Areas

Design and architect solutions across:

• Cisco Data Center Technologies (required)
• Cisco UCS, Nexus switching, VXLAN and AI Topologies (Converged-rail, Rail-optimized, Dragonfly, etc)
• Virtualization and hybrid data center environments

AI Infrastructure (required)

• Cisco + NVIDIA based AI infrastructure
• Secure AI Factory concepts, GPU-based compute, high-performance networking
• Hybrid Cloud & Infrastructure (nice to have)
• On-prem + cloud integration (AWS/Azure/GCP – basic to intermediate level)
• Kubernetes setup and configuration

POCs, POVs & Commercial Support

• Support and guide POCs / POVs for enterprise customers
• Assist in effort estimation, BOM creation, pricing inputs, and SOW preparation
• Provide technical inputs for proposals, RFPs, and customer presentations

Delivery & Practice Contribution

• Partner with delivery engineers to ensure smooth handover and high-quality execution
• Spend ~25% of time on practice build activities, including:
• Solution SKUs and reference architectures
• Playbooks, best practices, and technical documentation
• Inputs for pricing models and standard offerings

Basic Qualifications:

Core Experience

• 8–15 years of experience in Solution Architecture / Presales / Technical Consulting
• Strong hands-on experience with Cisco Data Center technologies
• Experience working with US enterprise customers or global clients
• Background from Cisco partners, system integrators, MSPs, or IT services companies is highly preferred

Technical Skills

Strong understanding of:

• Cisco UCS, Nexus, ACI, VXLAN, EVPN, BGP, OSPF
• AI, Data center networking & compute architectures
• Hybrid cloud integration
• Exposure to AI Infrastructure (Cisco + NVIDIA, GPU workloads, AI clusters) is a strong plus
• Good understanding of enterprise security concepts
• Ability to translate business requirements into scalable technical architectures

Soft Skills

• Excellent written and verbal communication skills
• Comfortable presenting to customers and senior stakeholders
• Strong problem-solving and collaboration mindset
• Ability to work independently with minimal supervision

Preferred Qualifications:

Certifications

• Cisco CCIE – Preferred
• Cisco CCNP – Mandatory or strongly preferred
• NVIDIA, Cloud (AWS/Azure), or Security certifications – Nice to have

**This is a hybrid role, requiring 2 days per week in our Bangalore office**

Reporting directly to the Director of Engineering, the Lead Engineer will guide the design and implementation of the software solutions under the User Generated Content (UGC) business division. Our teams work across the front-end (React & Elm), backend (Java/Kotlin), Data (Snowflake, dbt, Tableau), DevOps, and QA. We need a seasoned engineer who can shape the long-term design of our system. This person will guide our teams in architecting product features in a way that moves us towards that vision. We have a team-oriented culture, value collaboration, self-direction, and continuous improvement. We learn from our experiences to always improve, and we have fun and celebrate our successes.

HOW WE’LL BE WINNING TOGETHER DAY TO DAY

• Establish and champion the high-level, long-term architectural strategy for the UGC division’s suite of products
• Ensure software architecture aligns with the established technical strategy by establishing an Architecture Review Committee
• Advocate regulatory compliance, security policies, and processes in adherence to Industry standards and 1World Sync guidelines
• Drive continuous upgrades and enhancements of the various frameworks and tools used by the applications and the team.
• Assess, identify, and mitigate common issues in the operations of the software suite preemptively
• Develop the engineering team's capability in architectural design and implementation through mentorship and enablement
• Lead the research, evaluation, and adoption of new technologies to advance and upgrade our solutions.
• Partner with product and business leadership to ensure the technical strategy effectively addresses customer requirements and business goals
• Drive enhancements in engineering-wide practices, including CI/CD, testing, monitoring, security, and developer experience tooling

WE SHOULD TALK IF THIS SOUNDS LIKE YOU 

• 10+ years of software development experience
• 7+ years of full-stack application development using Object oriented programming(Kotlin, Java) and modern frameworks
• 3+ years of experience designing and implementing solutions with AWS
• 3+ years of experience with event-driven development (SQS, SNS, Kafka, Kinesis, Pub/Sub) and idempotent patterns
• 5+ years of experience developing APIs for front-end applications
• 5+ years of experience with relational databases (PostgreSQL, MySQL) and large data sets
• 3+ years of experience leveraging and maintaining CI/CD tooling (CircleCI, GitHub Actions)
• 3+ years of experience leveraging infrastructure as code using Terraform
• Experience leveraging automated database DDL (Liquibase, Flyway) (preferred but not required)
• Experience with object data stores (AWS S3, Azure Blob Storage, GCP Cloud Storage) and/or document data stores (AWS DynamoDB, MongoDB, NoSQL) (preferred but not required)
• Experience building containerized applications (Docker) and deploying them to orchestration (AWS ECS, Kubernetes, Docker Swarm) (preferred but not required)
• Experience with Data engineering and Analytics (Snowflake, dbt, Tableau) (preferred but not required)
• AWS Solutions Architect Associate Certification (preferred but not required
• BS degree in Computer Science, a similar technical field, or equivalent practical experience

What You Will Be Doing

- Design and implement production-ready generative AI applications that serve millions of users, from initial architecture through deployment and monitoring
- Build advanced RAG (Retrieval-Augmented Generation) pipelines that combine vector databases, hybrid search, and intelligent caching to deliver sub-second response times
- Develop multimodal AI systems that seamlessly integrate text, vision, and audio capabilities using state-of-the-art models
- Architect scalable microservices that handle thousands of concurrent AI requests while optimizing for cost, latency, and reliability
- Lead code reviews and technical design sessions, establishing best practices and architectural patterns that elevate the entire team's capabilities
- Optimize large language models through fine-tuning techniques to achieve domain-specific performance improvements
- Implement comprehensive MLOps practices including automated testing, model versioning, A/B testing frameworks, and real-time monitoring dashboards
- Collaborate with product managers and stakeholders to translate complex business requirements into innovative AI solutions
- Deploy AI models across multiple cloud platforms (GCP) using containerization and orchestration technologies
- Create and maintain technical documentation, runbooks, and architectural decision records that enable knowledge sharing across teams
- Mentor junior engineers through pair programming, technical talks, and hands-on guidance to accelerate their growth
- Research and prototype emerging AI technologies to identify opportunities for competitive advantage

Gen AI Responsibilities

- Fine-tune and optimize state-of-the-art language models for specific business use cases, achieving significant improvements in accuracy and relevance
- Design multi-agent AI systems using frameworks to orchestrate complex workflows and decision-making processes
- Implement advanced prompt engineering strategies including Tree of Thoughts, ReAct patterns, and automatic prompt optimization to maximize model performance
- Build production-grade embedding systems that handle billions of vectors, implementing efficient indexing strategies and hybrid search capabilities
- Develop computer vision pipelines using models for tasks ranging from object detection to visual question answering
- Create secure AI applications with robust safeguards against prompt injection, jailbreaking, and data leakage while maintaining compliance with AI governance standards
- Optimize token usage and implement intelligent caching strategies to reduce costs by 50-70% while maintaining quality
- Design and implement evaluation frameworks that go beyond traditional metrics, incorporating human feedback loops and domain-specific quality measures
- Build real-time AI inference systems capable of processing streaming data with sub-100ms latency requirements
- Integrate multiple foundation models into unified applications, implementing fallback mechanisms and load balancing for high availability
- Develop custom tools and functions that extend LLM capabilities, enabling models to interact with databases, APIs, and external systems
- Implement advanced RAG techniques including contextual embeddings, cross-encoder reranking, and Graph RAG for complex reasoning tasks
- Create multimodal search systems that enable users to query across text, images, and documents using natural language
- Build AI-powered data processing pipelines that automatically extract, transform, and enrich unstructured data at scale
- Deploy edge AI solutions using frameworks like ONNX and TensorRT, optimizing models for resource-constrained environments

What We're Looking For

- 5+ years of hands-on experience building and deploying ML/AI systems, with at least 2+ years focused on generative AI and LLMs
- Expert-level Python programming skills with deep knowledge of async programming, multiprocessing, and performance optimization
- Strong experience with modern AI frameworks including PyTorch, Transformers, LangChain, and vector databases
- Proven track record of deploying AI applications to production environments serving real users at scale
- Deep understanding of transformer architectures, attention mechanisms, and the latest advances in generative AI
- Experience with cloud platforms (GCP) and containerization technologies (Docker, Kubernetes)
- Excellent communication skills with the ability to explain complex AI concepts to both technical and non-technical audiences
- Proven experience improving large-scale product search and discovery — including dense retrieval with bi-encoders, cross-encoder reranking, query understanding, and hybrid BM25 + vector search across catalogs of tens of millions of SKUs
- Hands-on experience building and deploying production multi-agent systems using orchestration frameworks such as LangGraph and Google ADK — designing stateful, tool-augmented agents for complex, real-world workflows
- Bachelor's degree in Computer Science, Mathematics, or related field (Master's preferred but not required with relevant experience)

Nice to Have

- Published research papers or significant contributions to open-source AI projects
- Experience with multimodal AI systems combining vision, language, and audio
- Domain expertise in specific verticals (healthcare, finance, legal, e-commerce)
- Knowledge of AI safety, alignment, and constitutional AI principles
- Experience building AI infrastructure and platforms used by other engineers
- Familiarity with emerging technologies like neural architecture search, mixture of experts, or neuromorphic computing

Why this role matters:

We are seeking a Staff Engineer / Staff Architect to provide end-to-end technical leadership across our Jumper AI / Conversational Commerce platform. This role spans backend systems, frontend architecture, cloud infrastructure, and platform design, with responsibility for guiding teams building Journey Builders, event-driven orchestration engines, commerce and payment platforms, and multi-channel messaging systems.

You will operate at the architecture and system design layer, working across multiple teams and domains rather than owning a single feature. The role requires deep technical judgment, strong communication skills, and the ability to balance product velocity with long-term platform health.

Your key responsibilities:

• Define and evolve platform architecture across backend, frontend, and cloud infrastructure.
• Lead architectural design for complex systems, including workflow orchestration engines, Journey Builders, commerce, and messaging platforms.
• Establish architectural principles, patterns, and standards that scale across teams and products.
• Provide technical leadership for distributed, event-driven backend systems with strong reliability guarantees.
• Guide frontend architecture for complex, high-scale products, ensuring performance, consistency, and usability.
• Drive cloud-native design on Google Cloud Platform with a focus on scalability, resilience, and operational excellence.
• Act as a trusted technical advisor, mentoring senior engineers and influencing cross-team technical decisions.

What you'll bring

• 12+ years of experience building and operating large-scale, production-grade software systems.
• Deep expertise in distributed systems, microservices architecture, and event-driven platforms.
• Strong hands-on background in backend system design using Python or Go lang or similar ecosystems.
• Proven experience designing workflow engines, routing systems, or stateful execution platforms.
• Solid understanding of frontend architecture principles and performance considerations for complex UIs.
• Strong cloud architecture experience, preferably on Google Cloud Platform.
• Ability to communicate complex technical concepts clearly and influence decisions across engineering, product, and leadership teams.
• Treats AI assisted engineering as a core part of modern software practice, leveraging AI tools to enhance design, coding, testing, troubleshooting, and documentation, while guiding the team in adopting effective patterns and evolving best practices for AI enabled ways of working.

Experience we consider a plus:

• Prior experience as a Staff Engineer, Principal Engineer, or Platform Architect.
• Experience defining internal platform standards adopted by multiple teams.
• Exposure to SRE practices such as SLIs, SLOs, and error budgets.
• Experience working on revenue-critical, high-traffic, or regulated systems.

How you’ll benefit:

• Attractive Discretionary Time Off
• Private Medical Insurance with optional dependent coverage
• Educational Assistance Reimbursement Program
• Opportunities for reimbursement for conferences, trainings, and other personal development events
• Maternity and Paternity Leave
• Ask recruiter for country specific information

Note: The purpose of this profile is to provide a general summary of essential responsibilities for the position and is not meant as an exhaustive list. Assignments may differ for individuals within the same role based on business conditions, departmental need or geographic location.

Reports To

Director, NOC Delivery & Automation

What You Will Be Doing

• Lead the development of cutting-edge AI solutions across Voice AI, Computer Vision, and Conversational AI domains.
• You will architect and build production-grade AI systems that enhance our monitoring and analytics platform, improve customer support experiences, and enable intelligent automation across our EV charging infrastructure.
• Work closely with cross-functional teams to design, build, and deploy AI-powered solutions that directly improve the experience for millions of EV drivers and operators worldwide.

What You Will Bring to ChargePoint

• Deep expertise in Python, FastAPI, Django, and modern backend frameworks for AI service development
• Hands-on experience with LLM engineering: LangChain, LangGraph, Amazon Bedrock/OpenAI APIs, prompt engineering, and RAG architectures
• Strong experience with Elasticsearch including vector search, hybrid search (BM25 + dense embeddings), and semantic retrieval
• Proficiency with vector databases (Qdrant, ChromaDB, Pinecone) and embedding-based retrieval systems
• Experience building production LLM systems with focus on low-latency inference, caching strategies, and observability
• Strong foundation in distributed systems design, microservices architecture, and event-driven patterns (Kafka, RabbitMQ)
• Experience with cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines
• Strong knowledge of PostgreSQL (query optimization, schema design), Redis, MongoDB, and message queues
• Track record of optimizing system performance with measurable improvements (latency reduction, cost optimization)

Requirements

• 6+ years of software engineering experience with 4+ years focused on AI/ML systems in production
• Tech/B.E. or M.S. in Computer Science, Machine Learning, or related field from a top-tier institution
• Experience with Voice AI systems, telephony integrations (Genesys, SIP), and speech processing pipelines
• Background in computer vision, image processing, or visual transformer architectures
• Data engineering experience with Airflow, DBT, and analytics platforms (ClickHouse, Trino, Iceberg)
• Experience working with massive datasets (50TB+) and building scalable data pipelines
• Hands-on experience with model fine-tuning techniques (LoRA/QLoRA) for domain-specific applications
• Familiarity with RLHF-style preference tuning and model alignment techniques
• Experience with observability and monitoring stacks including metrics, logging, and tracing
• Certifications in Generative AI, Agentic AI, or related specialization.

Location

Bangalore, India

Reports To

Director, NOC Delivery & Automation

What You Will Be Doing

• Lead the development of cutting-edge AI solutions across Voice AI, Computer Vision, and Conversational AI domains.
• You will architect and build production-grade AI systems that enhance our monitoring and analytics platform, improve customer support experiences, and enable intelligent automation across our EV charging infrastructure.
• Work closely with cross-functional teams to design, build, and deploy AI-powered solutions that directly improve the experience for millions of EV drivers and operators worldwide.

What You Will Bring to ChargePoint

• Deep expertise in Python, FastAPI, Django, and modern backend frameworks for AI service development
• Hands-on experience with LLM engineering: LangChain, LangGraph, Amazon Bedrock/OpenAI APIs, prompt engineering, and RAG architectures
• Strong experience with Elasticsearch including vector search, hybrid search (BM25 + dense embeddings), and semantic retrieval
• Proficiency with vector databases (Qdrant, ChromaDB, Pinecone) and embedding-based retrieval systems
• Experience building production LLM systems with focus on low-latency inference, caching strategies, and observability
• Strong foundation in distributed systems design, microservices architecture, and event-driven patterns (Kafka, RabbitMQ)
• Experience with cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines
• Strong knowledge of PostgreSQL (query optimization, schema design), Redis, MongoDB, and message queues
• Track record of optimizing system performance with measurable improvements (latency reduction, cost optimization)

Requirements

• 8+ years of software engineering experience with 4+ years focused on AI/ML systems in production
• Tech/B.E. or M.S. in Computer Science, Machine Learning, or related field from a top-tier institution
• Experience with Voice AI systems, telephony integrations (Genesys, SIP), and speech processing pipelines
• Background in computer vision, image processing, or visual transformer architectures
• Data engineering experience with Airflow, DBT, and analytics platforms (ClickHouse, Trino, Iceberg)
• Experience working with massive datasets (50TB+) and building scalable data pipelines
• Hands-on experience with model fine-tuning techniques (LoRA/QLoRA) for domain-specific applications
• Familiarity with RLHF-style preference tuning and model alignment techniques
• Experience with observability and monitoring stacks including metrics, logging, and tracing
• Certifications in Generative AI, Agentic AI, or related specialization.

Location

Bangalore, India

Why this role matters:

We're looking for a skilled Full Stack Engineer to join our expanding Jumper AI / Conversational Commerce platform team. This role requires robust experience in both frontend development (Vue.js / React.js) and backend development (Golang, Gin/Echo/Fiber). You will be instrumental in the design, development, and maintenance of scalable, secure, and high-performing applications that power our conversational commerce platform. This platform is used globally by enterprises to provide personalized, omnichannel experiences to their customers.

This position offers the chance to work across the entire technology stack, from crafting intuitive and dynamic user interfaces to building APIs and backend services deployed on Google Cloud Platform. You will collaborate closely with cross-functional teams, including design, product, data, and DevOps, to deliver impactful, customer-centric solutions.

Your key responsibilities:

• Design and build interactive, responsive frontend applications using Vue.js / React.js, and modern JavaScript.
• Translate UI/UX designs from Figma into high-quality, production-ready frontend code.
• Architect, build, and maintain backend services and REST APIs using Python (FastAPI, Flask, Django).
• Integrate frontend applications with backend APIs and third-party services to deliver seamless user experiences.
• Design and optimize data models, caching strategies, and database queries for performance and scalability.
• Deploy, scale, and operate applications on Google Cloud Platform with a focus on reliability and observability.
• Collaborate closely with Product, Design, QA, and Engineering teams; conduct code reviews and mentor junior engineers.

What you'll bring

• 5 plus years of hands-on full stack development experience in production environments.
• Strong proficiency in Vue.js or React.js, modern JavaScript (ES6+), HTML, and CSS.
• Solid backend engineering experience with Golang,  Gin / Echo / Fiber.
• Experience working with SQL and NoSQL databases such as PostgreSQL, BigQuery, Redis, or Datastore.
• Hands-on experience deploying and operating applications on Google Cloud Platform.
• Understanding of secure coding practices, authentication, and authorization using OAuth2 / JWT.
• Strong collaboration skills and experience working in Agile teams using Jira and Confluence.
• Embed AI assisted engineering into daily practice to accelerate delivery and enhance outcomes
• Proactively adopt emerging AI capabilities to improve workflows and shares best practices with the team

Experience we consider a plus:

• Experience building SaaS, e-commerce, or conversational AI platforms.
• Exposure to CI/CD pipelines using GitHub Actions or GCP Cloud Build.
• Experience optimizing frontend performance, accessibility, and responsiveness across devices.

How you’ll benefit:

• Attractive Discretionary Time Off
• Private Medical Insurance with optional dependent coverage
• Educational Assistance Reimbursement Program
• Opportunities for reimbursement for conferences, trainings, and other personal development events
• Maternity and Paternity Leave
• Ask recruiter for country specific information

Note: The purpose of this profile is to provide a general summary of essential responsibilities for the position and is not meant as an exhaustive list. Assignments may differ for individuals within the same role based on business conditions, departmental need or geographic location.

About the Role

Specialist Engineer, Advanced Technical Support, Public Cloud is expected to bring a high level of technical knowledge of both 3rd party products and Veeam products with a focus in the Veeam Backup for AWS, Veeam Backup for Microsoft Azure, and Veeam Backup for Google Cloud, Veeam Data Cloud for Microsoft Azure offerings, communicate effectively, collaborate efficiently with other team members to improve team knowledge and maintain a high level of customer satisfaction, as well as provide technically complex client support for Veeam’s products via the telephone and email.

What You’ll Do

• Provide in depth/expert technical support and troubleshooting for Veeam Software’s clients via telephone, email, and web conferencing
• Handle Support cases escalated from the Technical Support tier and from less experienced ATS tier colleagues, and requiring a deeper expertise level to address respective issues
• Analyze, diagnose, and provide solutions and/or workarounds to the protected 3rd party software, operating systems, networks and applications in relation to Veeam software product problems/questions.
• Monitor the cases for SLA/OLA compliance
• Update and work assigned cases in a timely manner;
• Document of all customer interactions accurately and within SLA in the CRM tool;
• Be available for call transfers for existing and new cases that are generated.
• Maintain strong customer rapport and excellent, timely communication.
• Communicate effectively with QA, R&D, PM and other related departments in cross-tasks and projects.
• Contribute to the internal Knowledge Base in respective technical segment
• Routinely train and mentor less experienced engineers.
• Perform other Knowledge Sharing activities (participate in various department-wide pilot projects, conduct trainings or study halls, or internal team workshops, etc.)
• Operate in an environment with frequent changes, as well as stressful situations.
• Proactively staying up to date with all the latest technologies concerning Veeam’s products and the underlying technologies.
• Collaborate with other software vendors on cases from mutual customers (TSANet) whenever requested to
• Perform other duties as assigned

What You’ll Bring

• Certifications in Amazon Web Services, Microsoft Azure, Google Cloud are highly desired (ideally Architect level);
• Strong understanding of Amazon Web Services, Microsoft Azure, Google Cloud and other Public Cloud solutions (Virtual Machines and Object Storage) and native backup tools;
• Strong knowledge of TCP/IP (OS, firewalls configuration) and networking configuration/troubleshooting (NAT, ports, DHCP, DNS, Wireshark);
• Basic knowledge of the Linux-based OS (administrator level);
• Basic knowledge of Windows OS, PowerShell and CMD CLI;
• Basic knowledge of virtualization technologies (VMware vSphere).
• 3-5 years of technical troubleshooting experience in a role where analytical troubleshooting and problem resolution skills were required
• Proven track record of high customer satisfaction ratings in customer or technical service role
• Creativity and perseverance for solving technical problems and the ability to perform deep log analysis of proprietary software logging and/or external application performance analysis

What You’ll Get 

• 18 paid vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Private medical coverage for you and up to four dependents
• Life, accident, and disability insurance with enhanced coverage
• Annual flexible wellbeing allowance for physical and mental wellness
• Free confidential counselling and coaching via Employee Assistance Program (EAP), including legal and financial advice
• Meal, fuel, and transportation benefits based on work arrangement
• Daycare reimbursement and safe cab facility for eligible employees
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

#LI-SK1

About the Role

The ideal candidate will be naturally collaborative, articulate, extremely organized, have a solid technical understanding of Veeam products, and motivated by maximizing customer success and outcomes. Soft skills combined with technical skills are key in this role. As a Senior Customer Success Engineer, you are the primary technical owner driving long-term customer outcomes across the Veeam Data Platform. You’ll lead onboarding, adoption, and optimization; proactively identify churn risk, migrations, and upsell opportunities; and apply deep disaster recovery and resilience (DR&R) expertise to conduct recovery simulations, DRMM assessments, and quarterly resilience reporting for measurable customer value.

What You’ll Do

• Configure customer accounts; customize backup policies and storage; facilitate onboarding; orient stakeholders; walk through admin portals; introduce support channels.
• Identify migration opportunities; analyze usage and environment; conduct success planning and strategy sessions; align business outcomes with product adoption.
• Conduct assessments; build protection plans; recommend software products and architectures across the Veeam Data Platform.
• Run recovery simulations; apply the Veeam Data Resilience Maturity Model (DRMM) to track and report resilience posture; deliver quarterly resilience reports.
• Monitor signals to detect churn risk early; define mitigation plans; partner on renewal strategy with actionable technical insights.
• Build business cases; define TCO; articulate value propositions for expansion; schedule checkpoint reviews with stakeholders.
• Engage CISO/CIO stakeholders with clear risk, status, and opportunity updates; support context for executive discussions and roadmap alignment.
• Collaborate on marketing-informed campaigns and plays to drive adoption and expansion.
• Operate with a long-term account assignment model tied to ARR and growth potential, typically covering 5–50 Enterprise and Commercial-Named accounts with $100K+ ARR.
• Own the technical success plan and adoption roadmap; influence pricing, commercial terms, and renewal terms in partnership with Sales and CS leadership.

What You’ll Bring

• 5+ years in customer-facing engineering roles focused on data backup and recovery (e.g., Technical Consulting, Pre-Sales SE, Technical Account Manager); this is a mid-level role.
• Hands-on expertise across operating systems, virtualization, storage, scripting/automation, cloud platforms, and DR&R best practices.
• Strong experience designing and executing protection plans, migrations, and recovery simulations; familiarity with Veeam platform capabilities is a plus.
• VMCE certification required (may be completed post-hire within an agreed timeframe).
• Preferred industry certifications: AWS Solutions Architect (Associate/Professional), Microsoft Azure Administrator or Solutions Architect Expert
• Proven ability to translate business outcomes into technical adoption roadmaps and measurable value.
• Executive stakeholder engagement skills (CISO/CIO) with the ability to synthesize technical, business, and risk signals into clear recommendations.
• Excellent communication, cross-functional collaboration, and stakeholder management skills.

What You’ll Get 

• 18 paid vacation days, plus three global VeeaMe Days for self-care and 24 volunteer hours annually 
• Private medical coverage for you and up to four dependents 
• Life, accident, and disability insurance with enhanced coverage 
• Wellbeing allowance for physical and mental wellness 
• Free confidential counselling and coaching via Employee Assistance Programme (EAP)
• Meal, fuel, and transportation benefits based on work arrangement 
• Daycare reimbursement and safe cab facility for eligible employees 
• Professional training and education, including courses and workshops, internal meetups, and unlimited access to our online learning platforms (LinkedIn Learning, Athena, O’Reilly) and mentoring through our MentorLab program 

#LI-TR1

About the Role:

Glean is seeking a talented Solutions Architect (SA) to join our rapidly expanding, venture-backed startup. Glean is the Work AI platform — powering intelligent search, AI assistants, and scalable AI agents for the world's largest enterprises. Join our hard-working team and elevate your career. We are professional, creative, passionate, and, most importantly — customer-obsessed.

This is not a traditional SA role where you build slide decks. You will write code, build working prototypes, and ship real integrations alongside the customers who use them. If you love toggling between building something technical and advising a customer on how to deploy it, this role is for you.

You will be the primary technical advisor to our customers post-sale, focusing on our Enterprise and Strategic segment, where the architecture and integration demands are high. You will guide customers through their architecture, design, and implementation of Glean within their enterprise environment — and you will build alongside them, not just advise.

You will: 

• Establish and maintain your role as the customer's primary technical advisor. Think of yourself as the CTO of the customer relationship.
• Build working prototypes, tools, and integrations using Glean APIs (Indexing, Search, Chat), RAG workflows, MCP tools, and agent frameworks — directly with and for customers.
• Onboard new data sources and implement custom integrations of Glean into customer work environments and business application architectures.
•  Identify and drive expansion opportunities — including AI assistants, agents, and API-driven applications — within each customer's architecture.
• Provide training and guidance to customer technical resources to enable them to manage, support, and extend Glean in their environment.
• Troubleshoot and resolve technical issues for your assigned customers, from log analysis to end-to-end transaction tracing.
• Work with Product Management and Engineering to drive product improvements based on patterns you observe across customer engagements.

About you: 

    6 to 10 years of experience in Solutions Architect, or related roles. 

Interpersonal skills:

• Communication: professional presentation and interaction skills with both customers and internal teams. Able to explain complex AI and integration concepts clearly to technical and non-technical audiences.
• Project planning: plan and execute the implementation of customer projects.
•  Self-motivated: a proactive approach to delivering service to customers.
•  Detail-oriented: highly organized and methodical, ensuring all issues are managed to completion.
• Data-driven: utilize metrics and objective measurements to assess success and improvement opportunities for customers.
•  Pre or Post-sales Solution Architect experience in a product-led company is a huge plus.

Technical skills:

• Software development experience in at least two of the following: Python, Java, Go. You write code regularly — not just in the past.
• Hands-on experience building AI-powered applications: RAG pipelines, chatbots, AI assistants, or agentic workflows using LLMs.
• API and custom data integration experience in a Hybrid or SaaS environment. Experience with Indexing, Search, or Chat APIs is a plus.
• Familiarity with AI developer tooling such as LangChain, vector databases, or Model Context Protocol (MCP).
• Technical debugging: log analysis, code analysis, end-to-end transaction tracing.
• Networking expertise: a deep understanding of networking, including cloud and on-premise networking.
• Experience in at least two of the following disciplines: Software Engineering, Pre-Sales Engineering, Post-Sales Engineering, Professional Services, Developer Relations, Forward Deployed Engineering, or Technical Customer Delivery.
• Hands-on experience with Cloud technologies in at least one of the following: Google Cloud Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure.
• Security and audit experience: able to fully understand the technical and audit framework of the product and represent it with customer security and audit stakeholders.

AI fluency:

• You use AI tools (such as Cursor, Claude Code, GitHub Copilot, or similar) as part of how you work — not just what you build.
• You can demonstrate something you have personally built using AI, explain how it works, debug it live, and defend your technical choices.
• You are comfortable building and demoing working prototypes under time constraints.

Location: 

• This role is hybrid (4 days a week in our Bangalore office)

Compensation & Benefits:

Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

#LI-HYBRID

About IRL (Instawork Robotics Labs)

Researchers at UC Berkeley have identified a “100,000-year data gap” - the gulf between what trained AI language models and what physical robots actually have to learn from. Closing that gap is the defining infrastructure challenge of the physical AI era. IRL is Instawork’s answer to it. We deploy skilled workers into real commercial and residential environments - kitchens, warehouses, hotel floors, homes - to capture the high-fidelity task data that the world’s leading Robotics labs use to train their foundation models. Read more here.

The Role
We are looking for a highly versatile Senior/Staff Engineer with rock-solid fundamentals who can confidently tackle any problem across the tech stack. As a key engineering leader in our Bengaluru hub, you will own the technical execution for massive-scale physical AI training data, building out core systems like Instawork Lens (our global data collection platform) and Instawork Prism (our dedicated QA platform).

What You’ll Do

• Full-Stack Versatility: Seamlessly transition between frontend, backend, and infrastructure. You will own features end-to-end, solving whatever technical challenge stands in the way of shipping.
• Platform Ownership: Lead the technical development of Instawork Lens and Instawork Radiant, ensuring high-throughput data enrichment, labeling, and continuous quality assurance loops.
• Infrastructure & Video Pipelines: Architect and scale our cloud environments. You will manage complex AWS infrastructure and ECS services for video transcoding, ensuring deep observability with precise telemetry across CPU, memory, network, and disk IOPS.
• Architect for Scale: Design and optimize data pipelines capable of securely processing petabytes of global video and telemetry data without bottlenecking.
• AI-Leveraged Engineering: Use agentic models as a force multiplier to ship faster, relying on your deep engineering fundamentals to guide the AI, spot bad patterns, and make the final architectural decisions.
• Cross-Functional Mentorship: Act as a technical pillar for the team. Guide mid- and senior-level engineers through code reviews, pair programming, and architectural discussions to raise the bar for engineering excellence.

Who You Are

• Master of Fundamentals: You have 8+ years of software engineering experience. You deeply understand distributed systems, database internals, and network constraints, and you write clean, maintainable code (coding ~80% of the time).
• True Generalist: Extensive experience with full-stack development (Python, Django, React, or similar modern frameworks) and a willingness to learn whatever language or tool is needed for the job.
• Cloud & Infrastructure Chops: Hands-on experience designing scalable backend systems and managing cloud infrastructure (AWS, ECS/Docker, CloudWatch), particularly for data-heavy or high-throughput applications.
• Startup Mindset: You thrive in ambiguous, fast-paced, 0-1 environments. You act like an owner, practice high-velocity decision-making, and know how to ship product quickly without sacrificing quality.
• Mission-Driven: You are genuinely excited about the robotics revolution and want to build the human advantage that powers it.

About IRL (Instawork Robotics Labs)

Researchers at UC Berkeley have identified a “100,000-year data gap” - the gulf between what trained AI language models and what physical robots actually have to learn from. Closing that gap is the defining infrastructure challenge of the physical AI era. IRL is Instawork’s answer to it. We deploy skilled workers into real commercial and residential environments - kitchens, warehouses, hotel floors, homes - to capture the high-fidelity task data that the world’s leading Robotics labs use to train their foundation models. Read more here.

The Role
We are looking for a highly versatile Senior Engineer with rock-solid fundamentals who can confidently tackle any problem across the tech stack. As a key engineering leader in our Bengaluru hub, you will own the technical execution for massive-scale physical AI training data, building out core systems like Instawork Lens (our global data collection platform) and Instawork Prism (our dedicated QA platform).
You are a generalist at heart. You are just as comfortable designing a clean user experience in React as you are diving deep into AWS to tune heavy video transcoding pipelines. While we leverage agentic models heavily to accelerate our coding output, we rely on your deep engineering intuition, architectural expertise, and flawless fundamentals to ensure our systems are robust, scalable, and built the right way.

What You’ll Do

• Full-Stack Versatility: Seamlessly transition between frontend, backend, and infrastructure. You will own features end-to-end, solving whatever technical challenge stands in the way of shipping.
• Platform Ownership: Lead the technical development of Instawork Lens and Instawork Radiant, ensuring high-throughput data enrichment, labeling, and continuous quality assurance loops.
• Infrastructure & Video Pipelines: Architect and scale our cloud environments. You will manage complex AWS infrastructure and ECS services for video transcoding, ensuring deep observability with precise telemetry across CPU, memory, network, and disk IOPS.
• Architect for Scale: Design and optimize data pipelines capable of securely processing petabytes of global video and telemetry data without bottlenecking.
• AI-Leveraged Engineering: Use agentic models as a force multiplier to ship faster, relying on your deep engineering fundamentals to guide the AI, spot bad patterns, and make the final architectural decisions.
• Cross-Functional Mentorship: Act as a technical pillar for the team. Guide mid- and senior-level engineers through code reviews, pair programming, and architectural discussions to raise the bar for engineering excellence.

Who You Are

• Master of Fundamentals: You have 6+ years of software engineering experience. You deeply understand distributed systems, database internals, and network constraints, and you write clean, maintainable code (coding ~80% of the time).
• True Generalist: Extensive experience with full-stack development (Python, Django, React, or similar modern frameworks) and a willingness to learn whatever language or tool is needed for the job.
• Cloud & Infrastructure Chops: Hands-on experience designing scalable backend systems and managing cloud infrastructure (AWS, ECS/Docker, CloudWatch), particularly for data-heavy or high-throughput applications.
• Startup Mindset: You thrive in ambiguous, fast-paced, 0-1 environments. You act like an owner, practice high-velocity decision-making, and know how to ship product quickly without sacrificing quality.
• Mission-Driven: You are genuinely excited about the robotics revolution and want to build the human advantage that powers it.

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.

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.

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.