At NICE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you

So, what’s the role all about?

We are seeking a visionary Software Architect to serve as a technical leader for our engineering teams. In this role, you will bridge the gap between high-level strategy and hands-on execution, managing architectural subdomains within a large-scale platform. You will be responsible for guiding engineers toward correct technical paths, making high-stakes decisions, and relentlessly driving innovation and AI-first transformation across the organization.

How will you make an impact?

• Technical Leadership: Lead and influence multiple engineering teams, ensuring architectural alignment and high-quality technical decisions across subdomains.
• System Design: Architect resilient, multi-tenant cloud solutions and distributed event-driven systems that scale.
• Stakeholder Management: Collaborate with product leaders, directors, and cross-functional teams to navigate complex requirements in a multi-domain environment.
• API & Integration Strategy: Define robust API management strategies and ensure system resiliency through modern integration patterns.
• AI Integration: Evangelize and implement AI productivity tools (GitHub Copilot, Agents) and oversee the lifecycle of AI-driven applications utilizing LLMs.

Have you got what it takes?

• Total 14+ years and relevant 8+ years’ experience as Software Architect .
• Cloud Expertise: Proven track record of designing and deploying production-grade systems on AWS using a broad range of AWS native services.
• Architectural Depth: Deep experience in Multi-tenant Cloud Architecture, Event-Driven Systems, and Resiliency Patterns  
• Polyglot Mindset: A "right tool for the job" approach, with a willingness to work across various languages and frameworks in an AI-first environment.
• Communication: Exceptional ability to articulate complex technical concepts to both technical and non-technical stakeholders.
• AI/LLM Proficiency: It will be good to have a person with practical understanding of AI project lifecycle specifically using LLMs and the use of AI agents to accelerate development

• Backend: Advanced proficiency in Java and Springboot Framework. Exposure to Node.js will be a significant plus.
• Infrastructure: Hands-on experience with AWS CloudFormation (YAML) and Infrastructure as Code.
• Data: Strong mastery of SQL required
• Big Data exposure to Apache Spark or Big Data processing will be a bonus.
• Frontend: Solid understanding of modern UI frameworks and frontend development principles.
• Tooling: Expert-level use of Jira, GitHub, GitHub Copilot, and Claude Code/other AI agents for productivity
• Testing : good exposure to automation testing and frameworks for unit testing , integration testing , e2e testing, performance testing.

What’s in it for you?

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr.

Enjoy NICE-FLEX!

At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID:  10835
Reporting into: Director, Engineering, CX
Role Type: Individual Contributor

• Design, deploy, and scale large-scale ML and data processing pipelines across cloud infrastructure.
• Build systems to ingest, process, and serve 250,000+ hours of multimodal data (video, audio, metadata).
• Architect and optimize GPU-based compute environments (e.g., NVIDIA Tesla clusters) for distributed training and inference.
• Develop high-throughput backend systems for video ingestion from desktop and mobile platforms.
• Implement distributed processing workflows, including job scheduling, fault tolerance, and resource allocation.
• Design and build human-in-the-loop and automated annotation systems to ensure data quality and scalability.
• Translate ML and multimodal research into scalable, production-grade cloud architectures.
• Optimize pipelines for performance, reliability, and cost efficiency across compute, storage, and networking layers.
• Collaborate with ML, data, and engineering teams to deliver end-to-end data workflows.

• 5+ years of experience in data engineering, ML pipelines, or distributed systems.
• Strong experience building scalable data pipelines for large datasets (video/audio preferred).
• Hands-on experience with cloud platforms (AWS, Azure, or GCP).
• Experience working with GPU-based environments and distributed computing.
• Strong programming skills in Python, Scala, or similar languages.
• Experience with data processing frameworks (Spark, Ray, Kafka, Airflow, or similar).
• Understanding of ML workflows, training pipelines, and inference systems.
• Experience designing fault-tolerant, high-availability systems.
• Strong knowledge of data storage systems (data lakes, object storage, distributed file systems).
• Ability to handle high-throughput, large-scale data ingestion and processing.

• Experience with multimodal AI (video, audio, NLP) systems.
• Familiarity with annotation tools and data labeling workflows.
• Experience with containerization and orchestration (Docker, Kubernetes).
• Knowledge of cost optimization strategies for large-scale cloud workloads.

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

The Senior Security Engineer is a senior-level role that reports directly to and serves as a technical expert for the Head of Security Engineering. This role is entrusted with protecting sensitive financial data and critical infrastructure across a complex hybrid technology landscape. The ideal candidate is a highly motivated and results-oriented security engineer with unparalleled expertise in strategic design and hands-on technical execution. This position demands a proven builder and problem-solver who excels at architecting resilient platforms, mentoring other engineers, and acting as a technical advisor to leadership. The principal will be instrumental in implementing the strategic vision for infrastructure security and will be responsible for providing technical expertise for complex design and operational challenges.

Key Responsibilities

• Provide expert guidance to the security architecture team to design and implement layered security architectures using Zero Trust and Defense-in-Depth principles.
• Act as a subject matter expert and technical authority for in-depth design and implementation details, providing technical support and guidance across the security organization.
• Data Loss Prevention: Provide technical expertise to the DLP team for in-depth design, implementation, and integration details. Drive implementation and integration projects for on-premise, remote, and SaaS based resources.
• Drive the security strategy for a large on-premises environment, ensuring secure integration with public cloud platforms.
• Architect and implement secure data transfer, endpoint protection, and patch management solutions.
• Architect and secure hybrid AWS and Azure environments, focusing on the critical "seam" between on-premises and cloud domains.
• Lead the automation of security operations using Python and Bash.
• Assist in design and implementation of Infrastructure as Code (IaC) with Terraform, container orchestration with platforms like Kubernetes, and the build-out of a Security Orchestration, Automation, and Response (SOAR) platform.
• Serve as the final technical escalation point, acting as Tier 3 engineering support for the most complex incident escalations.
• Assist in design and implementation of a Security Information and Event Management (SIEM) solution to centralize log correlation.
• Develop and oversee security compliance strategies, ensuring adherence to financial regulations (FINRA, SEC, PCI DSS) and security standards.

Required Technical Skills

• Cloud: Associate Architect-level knowledge of AWS and Azure security services.
• Identity & Access Management (IAM): Hands-on experience with on-premises and cloud identity platforms.
• On-Premises Security: Verifiable experience securing large on-premises networks. Hands-on expertise with secure data transfer, application allowlisting, and vulnerability scanning in connected environments.
• Architecture & Design: Mastery of Zero Trust, Defense-in-Depth, network segmentation, and firewall management.
• Automation & Tooling: Expertise in automation and orchestration tools (e.g., Python, Bash, Ansible), IaC (Terraform), and container orchestration (e.g., Kubernetes, OpenShift). Experience building and managing SOAR platforms.
• Secrets Management: Experience with secrets management platforms, including those from major cloud providers.
• Endpoint Security: Experience with endpoint automation and security solutions in both connected and disconnected environments.
• Incident Response: Hands-on experience with advanced forensic analysis, SIEM platforms like Splunk, and serving as a Tier 3 engineering expert for complex security tool failures and system vulnerabilities.

Required Experience

• 5+ years of experience in IT security, with a proven history of building and automating complex solutions.
• Demonstrated ability to design and implement vendor-agnostic solutions.
• Proven ability to provide technical leadership and act as a subject matter expert within engineering teams.
• Experience leading security projects and communicating with technical and non-technical stakeholders, including senior leadership.
• Verifiable experience securing disconnected networks and managing hybrid cloud connectivity.
• Demonstrated experience with financial regulations (FINRA, SEC, SOX, GLBA) and frameworks (PCI DSS, NIST, ISO 27001).
• Ability to design controls that generate the necessary audit trails and evidence for regulatory reporting.

Company Benefits & Perks: 

• Competitive salary package.
• Performance-based annual bonus (cash and stocks).
• Hybrid working model (4 days office/week).
• Group Medical & Life Insurance.
• Modern offices with free amenities & fully stocked cafeterias.
• Monthly food card & company-paid snacks.
• Hardship/shift allowance with company-provided pickup & drop facility*
• Attractive employee referral bonus.
• Frequent company-sponsored team-building events and outings.

* Depending upon the shifts.

** The benefits package is subject to change at the discretion of management. **

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.

Why we're hiring:

WPP is a creative transformation company, helping clients create growth by combining technology and creativity. As one of the world's largest marketing and advertising services organizations, we are committed to driving innovation and operational excellence across our vast global network.

You will be joining the Automation Operations Centre within WPP's Enterprise Technology, Automation & AI department. This is a pivotal time for us as we're building a dedicated, in-house team to deliver, manage, monitor, and optimize our growing portfolio of automation solutions. This team is at the forefront of our digital transformation, ensuring the seamless operation and continuous improvement of critical automation capabilities across WPP globally

You will play a crucial role in solution delivery and day-to-day technology management of the Global Automation Operations Centre (AOC) program. Reporting to the AAI Operations Director and AAI Product Lead, you will lead the architecture, standards, and advanced development requirements for our global automation portfolio. Alongside AAI Leadership, you will guide a crew of 6-10 developers to ensure the release of high-quality automation products on time and within budget.

The AOC is chartered to develop and delivery automation products, support global automation products or projects delivered by Automation delivery teams from around WPP. Our support apparatus gives those teams confidence and freedom to hand over their existing successes and continue innovating.

Are you a visionary technical leader with a deep mastery of the Microsoft Power Platform and a passion for engineering excellence? We are looking for an Automation Engineering Lead to drive our technical strategy and architectural standards. In this senior role, you will be responsible for conducting research spikes, providing technical guidance to development teams, and ensuring that our global automation suite is built on a foundation of robust, scalable, and maintainable components. You will combine your extensive experience from the D365/Dataverse era with modern ALM practices to keep our global operations at the cutting edge of AI and automation.

What you'll be doing:

Automation Engineering Lead (Engineering Excellence + AI-Driven Automation) 

We are looking for an experienced Automation Engineering Lead who combines a complete view across multiple engineering technology streams with a strong background in automation and AI-driven engineering practices across modern technology stacks. 

This is not a single-stack or platform-specific role. 

You will act as an enterprise engineering leader, responsible for designing scalable, high-performance solutions by evaluating the right engineering approach across diverse technology streams spanning APIs, backend services, modern frontends, cloud platforms, deployment architecture, and AI/ML capabilities. 

You will play a critical role in shaping engineering strategy, establishing end-to-end engineering processes, guiding engineering teams, and ensuring solutions are fit-for-purpose, scalable, and future-ready. 

 What You’ll Be Doing 

Solution Architecture & Technology Decisioning 

• Own end-to-end architecture for automation use cases across the enterprise  

• Evaluate and recommend the right approach across:  

• Cloud-native engineering (microservices, serverless, container platforms)  

• Custom engineering (APIs, backend services, UI frameworks)  

• AI-augmented automation combining ML services, LLMs, and intelligent workflows  

• Make informed trade-offs between build vs buy, custom vs platform, and AI-driven vs deterministic approaches based on scalability, cost, and maintainability  

• Act as a key decision-maker on the right technology stream and tooling for each engineering problem  

• Knowledge in Power Platform (Power Apps, Power Automate, Dataverse) 

 Architectural Governance 

• Define and enforce global architecture standards, design patterns, and best practices  

• Establish reusable engineering frameworks and AI-driven automation accelerators across teams  

• Ensure consistency, scalability, and maintainability across implementations  

 Technical Leadership 

• Lead and mentor a team of 6–10 engineers  

• Provide hands-on guidance, solution reviews, and architectural oversight  

• Drive engineering excellence and a culture of continuous improvement  

 Advanced & Hybrid Development 

• Lead complex implementations involving:  

• Custom connectors and API integrations  

• AI/ML model integration and intelligent automation patterns  

• Backend services (.NET / Java / Node.js / Python) where required  

• Handle research spikes and evaluate new tools, frameworks, and capabilities  

 Integration & Data Architecture 

• Design robust integration solutions using:  

• REST APIs, webhooks, and service-based architectures  

• Event-driven and asynchronous processing patterns  

• Work with structured and unstructured data across:  

• Cloud data platforms (Azure Data Lake, BigQuery, Snowflake, etc.)  

• SQL / external data systems  

• Dataverse 

• Optimize performance, scalability, and reliability of automation workflows  

 ALM & DevOps Strategy 

• Own and mature end-to-end engineering processes including ALM, code quality, and release governance across the organization  

• Implement CI/CD pipelines, deployment automation, and infrastructure-as-code using Azure DevOps, GitHub Actions, Jenkins, or similar  

• Drive adoption of code-first, version-controlled, and AI-assisted development practices  

 Stakeholder Collaboration 

• Partner with business and leadership teams to translate requirements into scalable technical solutions  

• Align architecture decisions with business goals, timelines, and budgets  

• Communicate complex technical concepts to both technical and non-technical stakeholders  

 Security, Compliance & Supportability 

• Ensure solutions comply with enterprise security, governance, and data protection policies  

• Design solutions for operational readiness, observability, and smooth handover to support teams  

 What You’ll Need 

Experience 

• 12+ years in software engineering, solution architecture, or enterprise application development  

• Proven track record leading engineering teams across multiple technology streams with a strong background in automation and AI-driven engineering  

• Knowledge in Power platform or Dynamics 365 ecosystem 

 Engineering Process & AI-Automation Expertise 

• Deep expertise in:  

• End-to-end engineering processes (SDLC, code reviews, quality gates, release management) implemented at organizational scale  

• Deployment and technical architecture across cloud and hybrid environments  

• Automation engineering (CI/CD, infrastructure-as-code, test automation, workflow automation)  

• Experience with:  

• Engineering AI workstreams (LLMs, agentic systems, intelligent automation)  

• Applying AI in automation (code generation, automated testing, intelligent code review, copilots)  

• Ability to drive engineering excellence and modernize platforms using AI-augmented approaches  

 Architecture & Engineering Breadth (Critical) 

• Strong experience with API design and REST-based integrations  

• Solid understanding of SQL, data modeling, and performance optimization  

• Hands-on experience with at least one backend technology (.NET / Java / Node.js / Python)  

• Exposure to modern frontend frameworks (React or similar)  

• Understanding of:  

• Microservices and distributed systems  

• Event-driven architecture (queues, messaging, pub/sub)  

• Proven ability to design and deliver solutions across diverse engineering streams with the right deployment and architecture choices  

 DevOps & ALM 

• Experience with CI/CD pipelines and automated deployments  

• Familiarity with Azure DevOps, GitHub Actions, or similar tools  

• Strong understanding of environment strategy, solution segmentation, and release management  

 Leadership & Problem Solving 

• Proven ability to lead and mentor engineering teams  

• Strong architectural thinking and decision-making skills  

• Ability to solve complex, ambiguous technical challenges  

• Excellent communication and stakeholder management skills  

 Nice to Have 

• Experience with Azure services (Functions, Logic Apps, Service Bus, API Management)  

• Knowledge of enterprise integration patterns and iPaaS platforms  

• Hands-on experience embedding LLMs, agents, or copilots into automation and engineering workflows  

 Certifications 

• Certifications in AI/ML, DevOps, or enterprise architecture (TOGAF, SAFe, or equivalent), PL-600: Microsoft Power Platform Solution Architect (preferred)  

Who you are:

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

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

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

What we'll give you:

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

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

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

#onsite

The Team  

The product engineering team drives the realization of practical AI solutions for the contact centre environment. Our existing Studio product stack is built on PHP/Laravel, Python and Vue.js technology deployed in private and public clouds. We leverage the latest cloud AI services such as Azure OpenAI, Google AI APIs, IBM Watson and Amazon Lex.  

Our vision is nothing less than to reimagine the experience of connection between end users and the brands which serve them. Our AI agents will offer self-service which delights and accomplishes tasks at super-human speeds, while also blending in live human agents for the many cases when a human touch is needed. Our AI agents will assist the live agents too and help supervisors and managers get the most out of their mix of human and AI labor. 

The role of Senior Software Engineer is for the Studio Innovations team, which modernizes existing Studio product. This team keeps our production systems stable, secure, and performing at their best, handling everything from enhancement of the existing studio product to modernize it into Java microservices on the GCP cloud. 

This position is based out of one of the offices of our affiliate Acqueon Technologies in India and will adopt the hybrid work arrangements of that location.  

Role purpose  

The role of a Senior Software Engineer in the R&D AI Automation Team is to design, develop, and maintain the software solution (Studio) with drag-drop flow builder and execution engine that integrates multiple channels like voice, SMS, and chatbot with the Five9 contact centre voice solution. This role would be a key developer role to modernize and re-architect the existing Studio product to use Java microservices on GCP. The Senior engineer's responsibilities include software design and development, testing and documentation across our backend, front-end and interaction management platforms to deliver end-to-end features, work with product owners and designers to expand the feature set and create high-quality user interfaces, take operational responsibility for the performance and quality of services owned by your team, potentially including taking part in an on-call rotation, deep dive into cutting edge technologies and work with the products team to transfer ideas into products.  

How you contribute  

• Understands various programming languages, frameworks, and development methodologies, which allow you to make informed decisions and solve complex technical challenges. 

• Help create blueprints that outline how different components of the system will interact, ensuring scalability, maintainability, and performance 

• Writing high-quality, efficient, and maintainable code that serves the purpose of scaling and tenancy management. Should follow coding best practices and contribute to developing software modules, features, and functionalities. 

• Contribute to production incident management and debugging complex issues using knowledge of monitoring tools, logging systems, and application performance management like New Relic, Grafana, Prometheus etc.  

• Mentor junior engineers, helping them develop their skills and grow as professionals. This fosters a culture of continuous learning and collaboration within the team. 

• Ensure that the development stays on track, milestones are met, and the project aligns with business objectives.  

• Collaborate with cross-functional teams, including product managers, designers, and quality assurance professionals, to ensure that everyone is aligned on project goals and progress. 
    

Skills, competencies and qualifications  

Required:  

• 5+ years of designing and developing high traffic distributed and scalable systems on a cloud-based platform (GCP. AWS or Azure) in a SaaS company. Hands-on expertise in cloud-native backend microservices with Java & backend frameworks like Spring Boot. 

• Highly proficient in a variety of programming languages, including but not limited to Java, PHP, Javascript, Python or others as required.   

• Experience with web development technologies such as HTML, CSS, JavaScript, and modern front-end frameworks like Vue.js or React.  

• Strong observability and monitoring exposure by monitoring tools, logging systems, and application performance management like New Relic, Grafana, Prometheus etc. 

• Expertise in databases (SQL and NoSQL), and their optimization techniques. 

• Expertise in CI/CD, Containerization and Kubernetes. 

• Awareness of web security best practices and the ability to implement security measures to protect applications and data.  

• Ability to deploy and monitor applications in production along with diagnosing any technical issues.  

• A portfolio of past projects showcasing full-stack development skills.  

• Ability to work independently and as part of a collaborative team.  
  
  
• Strong commitment to delivering high-quality code and solutions on time and within scope.  

Educational qualifications 

• Bachelor's degree in computer science, engineering, or related field  

Desirable:  

• Experience with PHP.  

• Experience with Contact Centre, IVR, Virtual Agents, VoIP and telecommunications service providers is advantageous.  
   

Other requirements  

• This position requires the ability to be On Call.  

Key relationships  

There are no direct reports to this role.  

Key stakeholders include:  

• Service owners and their teams.  

• Technical leadership and senior management, including VPs.  

• Engineering teams.  

• Network and Telecom teams.  

• Customer service teams.  

• Compliance and infosec teams.  
   

Reporting Structure 

• This position reports to the Senior Engineering Manager  

Key Responsibilities

• Lead, mentor, and grow a high-performing team of AI/ML engineers, fostering a culture of innovation, collaboration, and excellence.
• Define and execute the roadmap for AI/ML projects, ensuring alignment with business objectives and product strategy.
• Architect and oversee the development of scalable, robust, and production-grade AI systems on cloud platforms (AWS, Azure, GCP).
• Drive best practices for the full machine learning lifecycle, including MLOps, CI/CD for ML, model monitoring, and governance.
• Collaborate closely with product managers, data scientists, and other engineering leaders to translate business requirements into technical solutions.
• Stay at the forefront of advancements in AI/ML, including Large Language Models (LLMs) and agentic AI, to identify and implement new opportunities.
• Manage project timelines, resources, and stakeholder communication to ensure the timely delivery of high-quality AI solutions.

Required Qualifications

• Strong understanding or experience leading AI/ML teams in a SaaS or enterprise software environment.
• Deep expertise in time series forecasting and machine learning.
• Experience architecting and deploying scalable, production-grade AI systems on cloud platforms (AWS, Azure, GCP).
• Solid understanding of MLOps, CI/CD for ML, and cloud-native architectures.
• Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns.
• Experience with agentic frameworks and autonomous agent architectures.
• Proficiency in Python and modern software development practices (testing, code review, CI/CD).
• Proven track record of delivering complex technical projects on time with high quality.
• Excellent communication, collaboration, and stakeholder management skills.
• Track record of delivering impactful AI solutions in a fast-paced, agile environment.

Preferred Qualifications

• Master’s or Ph.D. in Computer Science, AI, Machine Learning, or a related field.
• Experience with large-scale data processing frameworks like Spark.
• Familiarity with the challenges of applying AI in enterprise planning or financial domains.
• A portfolio of published research or contributions to open-source AI projects.

What Makes This Role Exciting

You will be a key leader in Anaplan’s AI journey, with the autonomy to shape our technical direction and build a world-class engineering team. This is a unique opportunity to solve complex, real-world problems and deliver intelligent solutions that empower major global enterprises to make more informed decisions. You will work with a passionate team on the cutting edge of AI, making a tangible impact on our product and the industry.

What's the Role All About?

The Tech Manager is a senior technical leadership role responsible for driving the design, delivery, and quality of AI-driven and Conversational AI solutions across the NICE CXone ecosystem. With 15+ years of experience, you will lead and mentor a high-performing engineering team, bring deep expertise in AI models, AWS Knowledge Hub, and AWS Cloud, and serve as a key technical authority across cross-functional delivery teams. This role blends hands-on technical depth with strong people management, ensuring both engineering excellence and team growth.

How Will You Make an Impact?

Technical Leadership:

• Define and govern technical standards and best practices for AI and Conversational AI solution delivery.
• Provide hands-on guidance on the design and implementation of integrations using APIs, modern web technologies, and authentication standards.
• Lead the development of proofs of concept (PoCs) and production-ready solution components leveraging AWS Cloud, AWS Knowledge Hub, and AI/ML models.
• Drive prompt engineering, conversational design, and AI orchestration best practices across the team.
• Oversee testing, validation, and go-live activities to ensure solutions meet quality, performance, security, and usability standards.

People Management & Team Development:

• Lead, mentor, and develop a team of engineers — conducting performance reviews, supporting career growth, and fostering a culture of continuous learning.
• Define and uphold engineering standards, coding guidelines, and delivery frameworks across the team.
• Identify skill gaps and build team capability in emerging areas such as Generative AI, AWS services, and enterprise conversational platforms.
• Drive a collaborative, inclusive, and high-accountability team culture.

Technical Problem Solving & Quality:

• Diagnose and resolve complex technical challenges across SaaS applications, cloud environments, AI integrations, and data flows.
• Ensure all implementations meet enterprise-grade standards for quality, scalability, security, and performance.
• Produce and review key documentation including architecture specifications, test strategies, and deployment materials.

Delivery & Process Excellence:

• Drive Agile/Scrum delivery practices including sprint planning, retrospectives, and release management.
• Define and continuously improve engineering processes, documentation standards, and delivery frameworks.
• Align technical roadmap planning with business priorities and stakeholder expectations.
• Manage escalations effectively and maintain strong cross-functional collaboration with Implementation Engineers, Consultants, Project Managers, and Customer Success teams.

Collaboration & Stakeholder Engagement:

• Partner with senior stakeholders, customers, and cross-functional teams to translate business requirements into technical solutions.
• Participate in customer workshops, design reviews, and technical discussions — communicating architecture decisions and implementation strategies with clarity and confidence.
• Maintain transparent and consistent communication across all delivery teams.

Have You Got What It Takes?

Experience & Education:

• Bachelor's degree in Computer Science, Information Systems, Electrical Engineering, or equivalent work experience.
• 15+ years of professional experience in software engineering or technical delivery roles, with a focus on AI, digital channels, or bot/conversational applications preferred.
• 5+ years in a technical leadership or people management role (Engineering Manager, Tech Lead, or similar).

Technical & Architecture Skills:

• 7+ years of hands-on software development experience, with at least 2–3 years in a tech lead or architect capacity.
• Strong proficiency in modern programming languages such as Java, Python, C#, or JavaScript/TypeScript.
• Deep knowledge of AWS Cloud services and AWS Knowledge Hub; familiarity with Azure or GCP is a plus.
• Proven experience working with AI/ML models, Generative AI frameworks, and enterprise AI orchestration patterns.
• Strong expertise in:
• Web APIs, SOAP, and REST implementations
• Modern authentication standards (OAuth2, OIDC, SAML)
• Browser and web security (CORS, X-Frame Options)
• HTML/CSS and front-end fundamentals
• Prompt engineering and AI integration patterns
• Solid understanding of CI/CD pipelines, DevOps practices, and software architecture principles.
• Proficiency in databases (SQL/NoSQL) and data integration patterns.
• Strong understanding of conversational UX, AI-driven interfaces, and enterprise AI platforms.

Leadership & People Management:

• Demonstrated experience managing and growing engineering teams, including performance management and career development planning.
• Ability to define technical vision, establish engineering standards, and align team deliverables with organisational goals.
• Strong stakeholder management skills, including handling escalations and influencing at senior levels.
• Experience driving technical roadmap planning across multi-disciplinary teams.

Communication & Collaboration:

• Clear, confident written and verbal communication skills.
• Comfortable engaging with customers and senior stakeholders to articulate technical decisions, solution architecture, and delivery strategy.
• Effective leader in design reviews, sprint planning, technical discussions, and delivery execution.

Delivery & Process:

• Experience defining and improving engineering processes, documentation standards, and delivery governance.
• Strong track record of authoring and reviewing design documents, functional requirements, test strategies, and deployment guides.
• Experienced in Agile/Scrum environments with a focus on predictable, high-quality delivery.
• Willingness to work in US shift hours (5 PM – 2 AM IST).

You Will Have an Advantage If You Also Have:

• Hands-on experience with NICE CXone products or other cloud-based contact centre platforms.
• Experience with enterprise conversational AI platforms such as NICE CXone, Kore.ai, Amelia, Dialogflow, or similar.
• Exposure to Generative AI tools, LLM fine-tuning, or RAG-based architectures.

What's in It for You?

Join an ever-growing, market-disrupting, global company where the teams — comprised of the best of the best — work in a fast-paced, collaborative, and creative environment. As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!

Enjoy NiCE-FLEX! At NICE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility — 2 days working from the office and 3 days of remote work each week. Office days focus on face-to-face collaboration, where teamwork and creative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 10786

Reporting Into: Director , Engineering 

Role Type: People Management

So, What's the Role All About?

We are looking for a Specialist Software Architect to lead the architectural vision, design, and evolution of our AI-driven and Conversational Solutions platform. This role demands deep hands-on expertise in Python, AWS Cloud services, AWS Knowledge Hub, and multiple Knowledge Base technologies, along with proven experience designing simplified, scalable, and resilient architectures using microservices and AWS-native services.

You will play a critical role in shaping the technical foundation of our Conversational AI platform — one that handles millions of interactions per day, meets strict SLAs (99.99%), and supports zero-downtime deployments, robust disaster recovery, and enterprise-grade AI orchestration. You will be the go-to architect for proposing pragmatic, simplified designs that balance innovation with operational excellence.

How Will You Make an Impact?

Architecture & System Design:

• Own and define the end-to-end architecture of the Conversational AI and Knowledge platform, covering AI model integration layers, data stores, knowledge bases, and external integrations.
• Design enterprise-scale, cloud-native, microservices-based architectures capable of handling high concurrency, burst traffic, and real-time conversational workloads.
• Propose simplified, cost-effective architectural designs leveraging AWS-native services — avoiding over-engineering while ensuring scalability and resilience.
• Define reference architectures, architectural blueprints, and non-functional requirements (NFRs) for performance, reliability, security, and maintainability.
• Drive event-driven and asynchronous architectures using AWS-native services such as SQS, SNS, EventBridge, and Step Functions.
• Define best practices for microservices design, domain-driven design (DDD), API design (REST, async/event APIs), and AI integration patterns.
• Review and guide complex application-level designs, critical code paths, and AI pipeline architectures.

AI & Conversational Solution Architecture:

• Architect and evolve AI-driven Conversational solutions integrating large language models (LLMs), prompt engineering patterns, and enterprise AI orchestration frameworks.
• Design and implement Knowledge Base solutions using AWS Knowledge Hub, vector databases, RAG (Retrieval-Augmented Generation) architectures, and other knowledge management technologies.
• Define AI model integration strategies — including model selection, fine-tuning approaches, embedding pipelines, and response quality frameworks.
• Drive conversational UX architecture, ensuring seamless, context-aware, and low-latency interaction flows.
• Evaluate and recommend AI tooling, platforms, and frameworks aligned with business needs (e.g., AWS Bedrock, LangChain, OpenAI, Anthropic, Kore.ai, Dialogflow).
• Lead the design of multi-turn conversation management, intent resolution, and fallback handling architectures.

AWS Cloud & Microservices Architecture:

• Architect and optimise solutions using AWS services including but not limited to Lambda, API Gateway, SQS, SNS, Step Functions, DynamoDB, Aurora Serverless, S3, Bedrock, and Kendra.
• Design cost-efficient, elastic scaling strategies aligned with unpredictable conversational AI workloads.
• Lead cloud governance, environment isolation, multi-account strategy, and infrastructure-as-code (IaC) practices.
• Define CI/CD pipeline standards, DevOps practices, and containerisation approaches (Docker, Kubernetes) for AI workload deployments.
• Drive microservices decomposition strategies — identifying service boundaries, inter-service communication patterns, and data ownership models.

Scalability, Resilience & Disaster Recovery:

• Design for extreme scale — high concurrent users, high TPS, and real-time AI inferencing demands.
• Own resilience strategies including multi-AZ and multi-region architectures, active-active or active-passive DR setups, and graceful degradation mechanisms.
• Define and validate RPO/RTO goals, conduct chaos testing, and lead DR drills.
• Ensure zero-downtime deployment capabilities through blue/green, canary, and rolling deployment strategies.

Security, Compliance & Reliability:

• Embed security by design across all AI and data architecture layers — covering authentication, authorisation, data privacy, encryption, and model safety guardrails.
• Support compliance requirements (SOC2, ISO, GDPR) from an architectural standpoint, particularly around AI data handling and knowledge base access controls.
• Partner with SRE and DevOps teams on observability, logging, distributed tracing, and alerting for AI workloads.
• Define SLIs, SLOs, and capacity planning models for conversational AI services.

Technical Leadership & Collaboration:

• Act as a technical mentor and trusted advisor to senior engineers, tech leads, and implementation teams.
• Lead architecture reviews, design councils, and technical decision forums — championing simplicity, pragmatism, and long-term maintainability.
• Partner closely with Product Management, AI/ML teams, and delivery teams to balance innovation with execution feasibility.
• Drive the long-term AI architecture roadmap and proactively reduce technical debt.

Have You Got What It Takes?

Experience & Education:

• Bachelor's degree in Computer Science, Information Systems, Electrical Engineering, or equivalent work experience.
• 10+ years of professional software engineering experience, with at least 4–5 years in a software architect or principal engineer role.
• Demonstrated experience designing and delivering AI-driven or Conversational AI platforms at enterprise scale.

Technical Expertise:

• Deep hands-on experience with Python — including AI/ML libraries, API development, and automation scripting.
• Strong expertise in AWS Cloud services — particularly those relevant to AI workloads: Bedrock, Kendra, Lambda, API Gateway, SQS, SNS, Step Functions, DynamoDB, S3, and Aurora Serverless.
• Hands-on experience with AWS Knowledge Hub and multiple Knowledge Base technologies including vector databases, document stores, and semantic search platforms.
• Proven experience designing microservices architectures — including service decomposition, inter-service communication (REST, gRPC, event-driven), and distributed data management.
• Strong understanding of:
• RAG (Retrieval-Augmented Generation) architectures and embedding pipelines
• Prompt engineering and LLM integration patterns
• Modern authentication standards (OAuth2, OIDC, SAML)
• Web APIs — REST and async/event API design
• Databases (SQL/NoSQL) and data integration patterns
• Experience with CI/CD pipelines, DevOps practices, and containerisation (Docker, Kubernetes).
• Familiarity with AI tooling and platforms such as AWS Bedrock, LangChain, OpenAI, Anthropic, Dialogflow, or Kore.ai.
• Experience with GenAI and Agentic AI application development.

Architecture & Scale:

• Demonstrated success designing systems for high traffic, low latency, and high availability at global scale.
• Deep experience with resilience, disaster recovery, and failover design in cloud-native environments.
• Strong track record of proposing simplified, pragmatic architectural solutions that avoid unnecessary complexity.
• Experience with event-driven systems, message queues, and streaming architectures.
• Strong understanding of cloud networking, caching strategies, and data modelling for AI workloads.

Good to Have:

• Experience with CCaaS or real-time communication platforms (e.g., NICE CXone).
• Exposure to multi-region SaaS deployments and hybrid serverless/container architectures.
• Familiarity with OpenSearch or Elasticsearch for conversational data search and analytics.
• Experience with cost optimisation strategies at scale on AWS.
• Knowledge of frontend technologies (JavaScript/TypeScript, React) for full-stack architecture awareness.

What's in It for You?

Join an ever-growing, market-disrupting, global company where the teams — comprised of the best of the best — work in a fast-paced, collaborative, and creative environment. As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!

Enjoy NiCE-FLEX! At NICE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility — 2 days working from the office and 3 days of remote work each week. Office days focus on face-to-face collaboration where teamwork and creative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. 

Requisition ID: 10787

Reporting Into: Director , Engineering

Role Type: Individual Contributor 

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

The Role

The Senior Software Engineer - Browser Extensions will own the architecture and implementation of Securly's onboard filtering engine — building a local policy cache and real-time filtering decision engine inside the Chrome extension that moves filtering decisions on-device, improving speed, reliability, and bypass resistance for millions of students on Chromebooks.

You will design and build the system that eliminates the cloud round-trip for 80% of filtering decisions: a local policy cache with delta sync, a filtering decision engine running inside the MV3 service worker, and the bypass prevention layer that ensures the security model is not exploitable.

At L5, this role carries additional strategic weight. Google's Filter and Monitor platform shift is moving ChromeOS toward native Content Filtering APIs and away from browser extensions as the primary enforcement point. You will track this transition, evaluate its implications for Securly's extension strategy, and surface architectural recommendations — not just implement the current plan.

What You'll Do

• Own the architecture of the onboard filtering engine: local policy cache, delta sync protocol, filtering decision engine, and bypass prevention layer.
• Architect and implement the local policy cache: delta sync protocol, TTL management, cache invalidation logic, and graceful cloud fallback.
• Build the onboard filtering decision engine in the MV3 service worker: domain matching, URL categorization, iframe detection using DOM context, and allow/block decisions.
• Implement and harden bypass prevention: same-origin policy, CSP, CORS, iframe sandboxing, content script/page context boundaries, and timing-based attack vectors.
• Track Google's Filter and Monitor platform evolution (ChromeOS Content Filtering APIs); write architectural memos evaluating implications for Securly's extension strategy.
• Lead the transition and implementation of new filtering features using TypeScript and modern JavaScript within the MV3 framework.
• Optimize extension performance to add negligible latency on consumer-grade student Chromebook hardware; define and enforce performance budgets.
• Mentor Ashish M (L4) and new extension hires: substantive code reviews, pair on security model design, drive team understanding of bypass threat vectors.
• Manage chrome.storage.local within platform limits; evaluate IndexedDB for policy cache requirements that exceed those limits.

Skills & Requirements

Who You Are

• You know how browsers actually work — not just the APIs, but the security model, the process model, and the specific ways students try to break it.
• You have shipped production Chrome extensions at scale and know what service worker memory management means on a 4GB Chromebook.
• You track platform shifts (Google F&M, ChromeOS Content Filtering API) and understand what they mean for your system's architecture.
• You produce written artifacts (ADRs, threat models, platform memos) that document your reasoning for the team and for leadership.
• You write TypeScript that other senior engineers learn from, and your code reviews raise the floor for the engineers around you.

What It Means to Be L5 at Securly

L5 at Securly is a Staff Engineer. You are the technical owner, not just an implementer.

• Drive technical direction for your initiative end-to-end: from architecture to production, with minimal oversight from your engineering manager.
• Identify and resolve ambiguity in requirements, system boundaries, and design tradeoffs without waiting for a fully-formed spec.
• Mentor L3/L4 engineers on the team: code reviews, design feedback, pairing, and raising the bar for what production-quality work looks like.
• Partner with your L6 technical lead and the Distinguished Engineer on architectural decisions, surfacing tradeoffs clearly rather than deferring them upward.
• Contribute to cross-team engineering standards: you are expected to influence practices beyond your immediate squad.
• Translate technical context into clear written artifacts that non-engineers (PM, Support, Leadership) can act on.
• Participate in on-call rotation and own the full incident lifecycle for your system: detection, diagnosis, resolution, and retrospective.

About Securly

Benefits

The Role

As a Senior Software Engineer (GO) - DNS & Network Systems, you will own the architecture and delivery of Securly's DNS-over-HTTPS (DoH) resolver — a production-grade, identity-aware DNS service that enforces filtering policy at the browser and OS level for millions of students on managed Chromebooks.

This is a critical infrastructure role at the intersection of DNS, identity, and network security. You will design and build a high-performance DoH resolver in Go that extracts device and user identity from Chrome enterprise policy URL templates and integrates with Securly's DNS policy engine and Redis infrastructure. You own the full lifecycle: architecture, implementation, TLS configuration, and production deployment on AWS.

This role is the technical foundation of a potential simplification of Securly's SmartPAC identity architecture. Done well, it could collapse significant DNS-RPC signaling complexity (DID/cookie system, IP fusing, brokering state) that has been a source of reliability issues. The scope of that architectural decision will evolve with the POC, and you will be the engineer best positioned to inform it.

What You'll Do

• Architect and build a production-grade DoH resolver in Go, integrated with Securly's DNS policy engine and Unbound infrastructure.
• Implement identity extraction from Chrome's DnsOverHttpsTemplatesWithIdentifiers URL template variables — mapping encrypted DNS queries to device and user identity, and evaluate the degree to which this approach can replace SmartPAC DNS-RPC signaling.
• Build an Unbound plugin with filtering business logic to process DoH queries with identity parameters from the URL template.
• Integrate with Redis infrastructure for policy lookups, identity mapping, state management, and feature flags; document failure modes and define graceful degradation behavior.
• Own TLS termination: certificate provisioning, renewal, and ensuring Chrome correctly validates the DoH endpoint certificate.
• Architect and own the CloudFormation deployment stack: NLB, Auto Scaling Groups, Route53.
• Lead the POC and production hardening phases in collaboration with Securly's Distinguished Engineer; produce a written ADR capturing tradeoffs and the go/no-go recommendation after POC.
• Mentor junior engineers on DNS fundamentals, Go patterns, and infrastructure-as-code practices.
• Document the new architecture and own knowledge transfer as the system transitions.

Skills & Requirements

Who You Are

• You think in protocols. DNS, TLS, HTTP/2 — you know what happens at the wire level and find that interesting, not painful.
• You are comfortable owning a project end to end: from research and POC through production hardening and deployment, without being handed a spec.
• You write Go that other senior engineers want to read. Idiomatic, tested, observable.
• You have worked on infrastructure other products depend on and understand what production ownership actually means.
• You produce written artifacts (ADRs, position papers, risk registers) to anchor ambiguous decisions rather than leaving them implicit.
• You make other engineers better. Your code reviews are substantive, your design feedback is specific.

What It Means to Be L5 at Securly

L5 at Securly is a Staff Engineer. You are the technical owner, not just an implementer.

• Drive technical direction for your initiative end-to-end: from architecture to production, with minimal oversight from your engineering manager.
• Identify and resolve ambiguity in requirements, system boundaries, and design tradeoffs without waiting for a fully-formed spec.
• Mentor L3/L4 engineers on the team: code reviews, design feedback, pairing, and raising the bar for what production-quality work looks like.
• Partner with your L6 technical lead and the Distinguished Engineer on architectural decisions, surfacing tradeoffs clearly rather than deferring them upward.
• Contribute to cross-team engineering standards: you are expected to influence practices beyond your immediate squad.
• Translate technical context into clear written artifacts that non-engineers (PM, Support, Leadership) can act on.
• Participate in on-call rotation and own the full incident lifecycle for your system: detection, diagnosis, resolution, and retrospective.

About Securly

Benefits

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

About the Role

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

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

Essential Responsibilities

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

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

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

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

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

Experience

Required experience

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

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

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

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

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

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

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

Other Requirements

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

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

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

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

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

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

• Provident fund and gratuity in accordance with applicable laws.

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

• Twenty-Six weeks of paid maternity leave.

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

Who We Are

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

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

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

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

About the Role

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

Essential Responsibilities

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

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

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

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

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

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

Experience

Required Experience

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

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

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

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

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

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

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

Nice to Have

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

• Familiarity with UI frameworks like Material UI or Bootstrap.

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

Traits of a Successful Candidate

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

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

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

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

Benefits & Legal

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

• Provident fund and gratuity in accordance with applicable laws.

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

• Twenty-Six weeks of paid maternity leave.

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

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

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

About the Role

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

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

Essential Responsibilities

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

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

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

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

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

Experience

Required experience

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

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

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

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

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

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

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

Other Requirements

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

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

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

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

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

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

• Provident fund and gratuity in accordance with applicable laws.

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

• Twenty-Six weeks of paid maternity leave.

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

The IT SaaS Engineering Team plays a critical role in optimizing MongoDB sales processes, streamlining customer interactions, and maximizing the efficiency of our sales efforts. By leveraging Salesforce, the team ensures that business users have the tools, automation, security, and governance needed to effectively manage customer relationships, support operational processes, and drive business growth.

With deep expertise in Salesforce development, platform governance, automation, and system operations, the team continuously enhances the CRM platform to meet evolving business needs. The team partners closely with stakeholders across Sales Operations, Revenue Operations, Security, Compliance, and Engineering to deliver scalable, secure, and reliable Salesforce solutions.

Role Overview

We are looking for a highly capable Senior Salesforce Engineer to design, build, and maintain scalable CRM solutions that support MongoDB’s Sales organization. This role combines strong hands-on Salesforce development, solution design, cross-functional collaboration, and a modern engineering mindset to deliver reliable, maintainable, and high-quality solutions across the core Salesforce platform.

What you’ll do

• Design, build, and maintain scalable Salesforce solutions across the core CRM platform, including custom development, automation, and integrations
• Partner with business stakeholders, program managers, and technical teams to understand requirements and translate them into secure, maintainable, and scalable technical solutions
• Own delivery across the full solution lifecycle, including design, development, testing, deployment, documentation, and production support
• Collaborate closely with globally distributed engineering teams to deliver reliable, secure, and well-governed solutions in an Agile environment
• Drive strong engineering practices across code quality, documentation, release management, and platform governance
• Identify opportunities to improve system performance, simplify architecture, reduce technical debt, and strengthen the overall Salesforce operating model
• Troubleshoot complex technical and production issues and deliver sustainable, long-term fixes
• Stay current with Salesforce platform capabilities, engineering best practices, and emerging technologies, and apply them thoughtfully to improve delivery quality
• Leverage AI-powered engineering tools such as GitHub Copilot, Agentforce, Claude Code, Cursor, and similar capabilities to improve productivity, code quality, troubleshooting and documentation, while using sound judgment around security, privacy, and responsible AI usage

Responsibilities

• Develop, test, document, and deploy high-quality Salesforce solutions aligned with business needs and engineering best practices
• Support enhancements, break/fix issues, and ongoing maintenance across Salesforce applications and related integrations
• Investigate technical and integration issues and work closely with development, operations, admin, and business teams to resolve them effectively
• Communicate clearly with stakeholders and teammates on delivery status, technical challenges, and solution options
• Manage multiple priorities effectively while ensuring high-quality and timely delivery
• Research new platform capabilities, prototypes, and engineering approaches that can improve the Salesforce ecosystem
• Provide mentorship and technical guidance to junior engineers and administrators where needed
• Build strong working relationships across teams and contribute positively to a culture of ownership, collaboration, and continuous improvement

Minimum Requirements

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field
• 9+ years of experience in Salesforce development and enterprise application engineering
• Strong hands-on experience with Apex, Lightning Web Components (LWC), JavaScript, Flows, SOQL, APIs, and Salesforce platform customization
• Strong understanding of Salesforce architecture, governor limits, declarative automation, integration patterns, and scalable solution design
• Experience with CI/CD, deployment processes, code refactoring, and performance optimization in Salesforce environments
• Experience integrating Salesforce with enterprise systems using APIs, ETL tools, and automation platforms
• Salesforce Platform Developer II certification strongly preferred; additional certifications such as JavaScript Developer, Advanced Administrator, Application Architect, or System Architect are a plus
• Good understanding of AI-powered and agentic development tools such as Cursor, Claude Code, Agentforce, and similar platforms, with the ability to use them effectively to improve productivity, troubleshooting, documentation, and solution delivery

Success Measures

• In 3 months, you will: Develop a strong understanding of MongoDB’s Salesforce ecosystem, business processes, and current implementations by working closely with senior engineers and stakeholders
• In 6 months, you will: Successfully deliver one or more critical Salesforce initiatives and establish yourself as a trusted technical contributor within the Sales Apps team
• In 12 months, you will: Become a go-to engineer for key Salesforce solutions, build strong cross-functional partnerships, and contribute meaningfully to the scalability, quality, and long-term evolution of the CRM platform

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Insert Req ID: 1273405390

Are you a passionate technologist eager to empower developers and shape the future of software innovation? MongoDB is looking for a Senior Developer Advocate to join our Developer Relations team in India. You'll be at the forefront of driving engagement, learning, and excitement within our developer community across India and APAC.  

As developers increasingly rely on MongoDB for their data needs, you'll play an essential role in building meaningful relationships, delivering impactful technical resources, and hosting hands-on workshops that unlock new possibilities for developers at startups, enterprises, and everything in between. If you're passionate about data, inspiring developer communities, and fueling innovation, this could be the ideal opportunity for you!  

Joining our Developer Relations team will have you collaborating and learning with world-class peers and engaging with some of the world’s largest companies.  

This role can be remotely in the India region.

About You

We're seeking someone who thrives on building vibrant developer ecosystems. As a Senior Developer Advocate, you'll use your experience in technical enablement, community-building, and instructional content to engage developers and help them confidently adopt MongoDB technologies.  

You’re seasoned at connecting with developers through events, workshops, virtual training, or meetups, and take pride in fostering discovery and delivering value. With a genuine collaborative spirit, you work closely with colleagues across teams, always striving to elevate every member’s success in alignment with MongoDB’s value of Building Together.  

A strong communicator and problem-solver, you have 5+ years of experience in roles such as Developer Advocate, Solutions Architect, Software Engineer, Developer Relations, or similar. You’re skilled at simplifying complex technical concepts and can adapt your messaging to developers at all skill levels.  

Key Responsibilities

Empower developers: Leverage your deep understanding of database technologies, programming languages, and MongoDB’s core functionality—including Atlas —to guide developers in building impactful solutions through code and content.  

Engage through live workshops:  Deliver interactive sessions for audiences ranging from 40 to 400 developers, showcasing best practices and hands-on experience with MongoDB.  

Community growth:  Build relationships with developers, community leaders, industry influencers, and partners to scale our Developer Relations programs and foster new engagement opportunities across India and APAC.  

Support user groups and champions:  Collaborate with other DevRel teams to grow MongoDB user groups, champion programs, and influencer networks in the region.  

Partner with marketing:  Work closely with various marketing teams to inform strategies, refine messaging, and create resources that resonate with our developer community.  

What You'll Bring:

Technical expertise: A minimum of 5+ years of experience consulting with development teams, complemented by proficiency in database technologies and programming languages.  

Hands-on enablement: A proven track record of sharing code and content, creating and leading developer-focused labs, workshops, hackathons, and other hands-on activities.  

Presentation excellence: Strong public speaking skills with experience delivering live workshops, webinars, or events (bonus points for live-streaming abilities!).  

Engagement strategies: Demonstrated ability to support long-term developer engagement and report on the business impact of initiatives.  

Collaborative mindset: You thrive in team environments, building connections across teams and stakeholders to drive impactful results both locally and globally.  

Travel-ready: The willingness to travel up to 40% of the time to deliver sessions and support the broader team at in-person events.  

Why Join MongoDB

MongoDB is the leading modern general-purpose database platform, designed to help developers tackle their most complex challenges. By joining us, you'll be part of a company that values curiosity, collaboration, and creativity—and empowers individuals at every level to make an impact.  

In this role, you'll help foster innovation in developer communities, champion cutting-edge technologies, and be a critical contributor to MongoDB's growth across APAC.  

Does this sound like your dream job? Join us, and together, we’ll build what's next!  

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

This new team will architect the platform foundation and infrastructure that enables a "build once, run anywhere" model, ensuring our AI-powered modernisation suite operates seamlessly regardless of a client's security or network constraints. We are looking for engineers to join this high-visibility initiative, where you will solve unique distributed systems puzzles and help shape the future of how global enterprises leverage GenAI.

We are looking for an experienced software engineer who thrives on solving infrastructure constraints and building enterprise facing platforms. 

The ideal candidate is a hands-on technical leader who can architect complex distributed systems, mentor engineers, and collaborate with product teams to deliver a platform that minimizes deployment friction and meets customers’ compliance requirements.

This role can be based out of our Gurgaon office or Remotely in India.

The ideal candidate for this role will have

• 8+ years of software development and operations experience, with a focus on building platforms and distributable software infrastructure.
• 2+ years of experience leading, coaching, and mentoring a team of engineers to achieve high-impact results.
• Deep experience designing distributable applications that run in air-gapped or highly restricted network environments.
• Strong proficiency in containerization and orchestration, with the ability to design systems where the host executes containerized applications under strict security monitoring.
• Experience building Service Host architectures that provide shared routing, proxy layers, and API gateways for multiple underlying services.
• Experience managing persistent storage solutions (blob/file storage) within distributed systems.
• Understanding of security-first design, specifically regarding the execution of untrusted code, fine-grain access control, and rigorous input validation.
• Experience designing auto-update mechanisms for software that cannot directly access the public internet.
• Curiosity, a positive attitude, and a drive to continue learning.

Position Expectations

• Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, and continuous improvement.
• Drive the distributed infrastructure for the Application Modernisation Platform, ensuring it supports a self-service SaaS product model while operating within client-controlled environments.
• Lead the design and implementation of a sophisticated orchestration layer that manages authentication, telemetry, and the lifecycle of modernization tools.
• Architect a client-side application that manages developer workflows and communicates securely with hosted services.
• Solve complex "Day 2" operations challenges, such as designing interfaces to solve DevOps challenges to manage users, secrets, and updates.
• Collaborate with security and product teams to ensure the platform can execute code generation and LLM-based tasks securely, protecting both client data and MongoDB IP.
• Act as a hands-on leader, guiding the team through technical challenges related to container security, local vs. hosted logic distribution, and cross-service data sharing.

Success Measures

Within the first three months, you will have:

• Fully ramped up on our architecture, business domain, and the specific constraints of deploying software to large enterprise client environments.
• Established yourself as the technical leader within the team, actively driving technical decisions.
• Begun mentoring team members and collaborating with product counterparts to define the integrations between the platform and the tools it hosts.

Within six months, you will have:

• Successfully led the team to deliver a prototype or initial release of the Deployment Platform that supports the core modernization toolset.
• Designed and implemented a streamlined process for platform updates that works within client security constraints.
• Established a precise rhythm of execution and served as a role model for a high-performing team.

Within 12 months, you will have:

• Become recognized as the go-to technical expert for the deployment and operations domain at MongoDB.
• Delivered a stable, production-ready platform that allows our Field Engineering teams to deploy tools without significant delays or approvals.
• Played a crucial role in helping recruiting and growing the engineering team.

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

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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).

Overview:

We are building the next generation of our SaaS platform, and we need someone to own the quality architecture that makes it all trustworthy. As a Principal Technology Architect - QA, you will design the systems, standards, and governance that raise the bar for quality across every product segment we ship.

We are an AI-first organization. You will put that into practice by bringing AI-driven testing, intelligent automation, and modern quality tooling into the way our teams work every day. This is a hands-on architecture role, not a policy desk. You will build test frameworks, design quality gates, set reliability targets, and create the shared infrastructure that teams actually adopt because it makes their lives easier.  You will work closely with engineering leadership to connect quality strategy to business outcomes. When you recommend a change, people across the org will listen, because your technical credibility and track record back it up.  You will also mentor engineers, shape how we hire for quality mindset, and help grow the next generation of technical leaders on our teams.  If you get excited about solving hard problems at scale, rethinking how quality works in a modern SaaS org, and leaving things better than you found them, we would love to talk.

What you will do:

• Set the quality architecture direction for the org: design quality gates, define reliability targets, and choose the testing infrastructure that all product segments build on.
• Build and maintain a governance model for quality practices so that standards, processes, and tooling are adopted consistently across engineering teams.
• Design and deliver scalable test automation frameworks that teams can adopt and extend to improve coverage, speed, and confidence in every release.
• Bring AI into quality engineering: evaluate and roll out AI-driven test generation, intelligent test selection, defect prediction, and automated monitoring.
• Own the performance and resilience strategy: set performance budgets, define monitoring standards, and create disaster recovery and incident response frameworks.
• Partner with product and engineering leaders to balance release velocity with system health, making sure teams can ship fast without cutting corners on quality.
• Evaluate and introduce new tools, patterns, and practices that keep our quality approach current as the platform and industry evolve.
• Mentor engineers across teams, raise the bar on how we hire for quality mindset, and contribute to engineering maturity across the organization.
• Represent Precisely externally as a thought leader in quality engineering through talks, writing, or industry engagement.

What we are looking for:

Required:

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Equivalent work experience is accepted in place of a degree. An advanced degree is a plus.
• Experience: 15+ years of progressive experience in software quality engineering, test architecture, or related technical leadership roles, with demonstrated org-wide architecture leadership
• Quality architecture: Deep expertise in test automation frameworks, CI/CD pipeline design, quality gate implementation, and testing strategies for large-scale SaaS platforms.
• AI: Hands-on experience applying AI to quality workflows (e.g. AI-driven test generation, intelligent test selection, or automated defect detection)
• Leadership: Track record of driving adoption of technical standards across multiple teams or product areas, including working with leaders who do not report to you
• Travel is required: Yes – Approximately 10%

AI Skills/Knowledge:

• Comfortable using generative AI tools (e.g. GitHub Copilot, Claude Code, or custom LLM integrations) to accelerate day-to-day quality workflows such as test generation, defect triage, and root-cause analysis.
• Able to critically evaluate AI-generated outputs and set guardrails so that AI-produced test artifacts meet reliability, security, and compliance standards.
• Experience evaluating and integrating AI-powered quality tools (e.g. autonomous testing platforms, AI-based test maintenance, predictive analytics for defect detection) into org-wide workflows.
• Open to continuously adopting new AI capabilities as they emerge and excited to shape how the org integrates them into quality practices.

Preferred Skills:

• Experience defining and scaling quality practices across multiple product segments in a large SaaS or cloud-native organization.
• Familiarity with contract testing, chaos engineering, or advanced reliability practices (SLOs/SLIs, error budgets).
• Bonus points for experience establishing quality centers of excellence or community-of-practice models across engineering organizations.
• Exposure to security testing practices, compliance frameworks, or regulated industry quality standards.
• Experience with observability and monitoring platforms (Datadog, Splunk, Grafana, PagerDuty) at an architectural level.
• Track record of representing an organization externally through conference talks, published writing, or industry working groups in quality engineering.

#LI-SR1

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.

This is a work-from-office / In-Office role based in our Hyderabad, India location.

We are looking for a Senior Software Engineer to join our team and work on the development of our SaaS product. In this role, you will lead the development of new features, improve system architecture, and ensure the scalability and reliability of our cloud-based software. You will collaborate with cross-functional teams to deliver high-quality software and contribute to the continuous improvement of the product.

Key Responsibilities:

• Architect and Design Software Solutions: Contribute towards design and architecture of new features for our SaaS product. Ensure that solutions are scalable, maintainable, and meet customer needs.
• Develop & Implement Features: Build and maintain robust and high-performing software solutions for our SaaS platform, writing clean, efficient, and testable code.
• Collaborate with Cross-Functional Teams: Work closely with product managers, designers, and other engineers to define and implement product features, ensuring that business requirements and customer needs are met.
• Optimize and Scale: Continuously improve application performance and scalability, focusing on optimizing cloud-based resources and database performance.
• Maintain Code Quality: Write unit and integration tests, conduct code reviews, and ensure adherence to coding standards. Participate in code reviews and provide feedback on engineering best practices.
• Mentorship: Provide technical leadership and mentorship to junior engineers, helping them grow their skills and achieve their career goals.
• Troubleshoot and Debug: Investigate and resolve software issues, working with the support team to fix bugs and improve the overall user experience.
• Security & Compliance: Ensure the SaaS product complies with security best practices and regulatory standards. Implement security features to protect user data and sensitive information.
• Continuous Improvement: Stay up to date with the latest technologies and industry trends, and incorporate modern practices into the development process. Participate in the iterative process of refining and evolving the product.
• Documentation: Produce clear technical documentation to support the development, deployment, and maintenance of software systems.

Required Skills and Qualifications:

• Bachelor's Degree in Computer Science, Software Engineering, or a related field, or equivalent professional experience.
• Proven Experience: At least 8+ years of professional experience in software development, with significant experience working on SaaS products or cloud-based platforms.
• Programming Languages: Strong proficiency in languages commonly used for SaaS development (e.g., Golang, JavaScript, TypeScript, Python, Scala, Java).
• Cloud Platforms: Experience working with cloud platforms such as AWS, or Google Cloud, and an understanding of cloud architecture, microservices, and containerization..
• Database Management: Strong knowledge of relational and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB) and experience with database optimization.
• DevOps and CI/CD: Hands-on experience with CI/CD pipelines, containerization (Docker), and orchestration tools (e.g., Kubernetes).
• Agile Methodologies: Familiarity with Agile development processes and tools (e.g., Jira, GitHub).
• Version Control: Proficiency with version control tools like Git.
• Problem Solving: Excellent analytical and problem-solving skills, with a focus on delivering high-quality solutions.
• Communication: Strong written and verbal communication skills. Ability to communicate complex technical concepts to non-technical stakeholders.

Preferred Skills:

• SaaS Experience: Experience building, maintaining, and scaling SaaS applications, particularly in high-availability and high-traffic environments.
• Microservices Architecture: Familiarity with microservices architecture and cloud-native application patterns.
• Test Automation: Experience with test automation frameworks and practices.
• Security: Understanding of web application security, data encryption, and secure coding practices.
• Leadership: Previous experience mentoring or leading engineering teams.

What we want to accomplish and why we need you.

Suki is a leading technology company that provides AI voice solutions for healthcare. Its mission is to reimagine the healthcare technology stack, making it invisible and assistive to lift the administrative burden from clinicians. Its flagship product is Suki Assistant, an AI assistant that uses generative AI to automatically create clinical documentation by ambiently listening to patient-clinician conversations. Suki helps clinicians complete notes 72% faster on average, assists with other tasks including coding and answering questions, and generates incremental revenue for organizations, delivering a 9X ROI in year 1. Suki also offers its proprietary AI and speech platform, Suki Platform, to partners who want to create best-in-class ambient and voice experiences for their solutions. Clinicians that use Suki already spend over 70% less time on administrative tasks, and we’re striving to do even better. Come and join us! 

We are a user-driven company and are committed to making sure every pixel of our product is in service of the doctors. We’re a team of technologists, clinicians, and industry experts working together to push the limits on technology used in medicine. We’re confident enough to move fast and talented enough not to break things.

What will you do every day?

We are looking for a Software Architect  to join our Engineering team. Suki's architecture practice is at an inflection point. We have sustained significant CCU growth, completed a demanding OLTP Database scaling journey, leveraged Redis Streams based service orchestration, deployed self-hosted ML models, built agent-driven workflows, launched an Offline Data Platform, and maintained a client surface spanning iOS, Android, Web, SDKs, and a Chrome extension — with on-device ML capabilities across all of them.

The Architect is the person who holds institutional memory and architectural coherence across this surface area — so that decisions made in isolation don't quietly contradict each other, patterns are reused rather than reinvented, and deviations from established patterns are documented, not silently absorbed. The work ahead includes enhanced agentic capabilities, continued multi-region expansion, investments on stream-based/offline data processing, and a growing ML inference footprint.

On a day to day basis, you will: 

• Maintain architectural coherence across a complex and wide surface area. 
• Own the load-bearing substrate through future growth and failure scenarios. The system must survive several multiples of current enterprise scale and every class of infrastructure event we can name.
• Drive the structural decomposition of platform and domain boundaries, service boundaries across the microservice portfolio, agentic framework direction, auth and access-control architecture, and cross-cutting concerns like observability and rate limiting.
• Bridge AI research and production infrastructure. Translate LLM and model requirements into efficient, production-grade services. Lead the agentic framework direction — memory architectures, tool orchestration, A2A patterns, semantic caching. Operate a GPU fleet at high duty cycle and understand dynamic batching, cross-session batching tradeoffs, and HPA calibration for GPU workloads.
• Document architectural patterns and deviations. Write Architectural Design Records, RFCs, and breaking-points documents that stand alone for readers unfamiliar with the context. Document deviations from established patterns with their reasons — not as failures, but as data points. 
• Remain hands-on — stay connected to the craft, read and write code. Prototype new architectures. Review pull requests for patterns that matter. Implement the hard parts of a new pattern yourself when it matters. Lead resolution of the most critical incidents. 
• Mentor and elevate the engineering organization. Act as a technical multiplier for senior engineers across backend, data, and ML disciplines. Hold a room, defend a position under pushback without collapsing into agreement, and adjust register for engineering vs. product vs. leadership audiences. Foster a culture of deep technical understanding, not just pattern-matching.
• Represent Suki’s architecture and engineering both in internal and external forums through technical blogs, conferences and meetups

QUALIFICATIONS 

• Bachelor's or Master's degree in Computer Science or a related field, or equivalent production experience 
• 10+ years of professional software engineering experience, with a proven track record operating at an Architect, Staff, or Principal level 
• Expert-level proficiency in Go or Python, with the ability to lead architectural decisions and remain hands-on in code 
• Production ownership of a real-time streaming system (Redis Streams, Kafka, Pulsar, or equivalent) at scale — including personal pager experience and a specific debugging story for a duplicate-processing or lost-message bug 
• Experience operating multi-TB storage systems with active OLTP traffic 
• Hands-on experience with offline/batch architectures: Airflow or equivalent orchestration, columnar formats (Iceberg, Delta, or Hudi), and warehouse-scale query engines (BigQuery, Snowflake, or Redshift) 
• Experience designing and operating GPU inference infrastructure at scale, including dynamic batching, Triton/TensorRT, and HPA calibration for GPU workloads — or equivalent ML inference platform depth 
• Experience integrating and scaling systems using LLM APIs or foundation models, with opinions about agent framework design, memory architectures, and tool orchestration 
• Demonstrated experience navigating product-vs-platform decomposition in a real organization — including having been wrong, and articulating what the reversing signal was
• Proven ability to reason about client-side implications of backend decisions across native mobile, web, SDK, and browser extension surfaces 
• Familiarity with healthcare-adjacent regulation (HIPAA, PIPEDA, PHIPA, SOC2, or HITRUST) as a design constraint, not just a compliance requirement, will be a strong plus 
• Strong experience with GCP, Kubernetes, Docker, gRPC, and Protocol Buffers; multi-region architecture and data residency design will be a strong plus 

What We're Looking For

• Distinguished Technical Expertise: You are a recognized expert with a proven history of architecting, building, and operating complex systems with a strong software engineering talent.
• Strategic, Systems-Level Thinker: You look beyond immediate requirements to anticipate future challenges. You can navigate deep ambiguity, identify long-term risks, and make high-judgment decisions that balance technical purity with business velocity.
• Pragmatic and Action-Oriented: You have a bias for action and a data-driven approach to problem-solving. You understand the entire lifecycle of an ML-powered feature, from data to deployment, and know how to ship robust solutions quickly.
• Leadership Through Influence: You have a demonstrated ability to lead complex, cross-functional technical initiatives without direct authority. You build 

Tell me more about Suki

• On a roll: Named by Fast Company as one of the most innovative companies, named Google’s Partner of the Year for AI/ML, named by Forbes as one of the top 50 companies in AI .
• Great team: Founded, managed, and backed by successful tech veterans from Google and Apple and medical leaders from UCSF and Stanford. We have technologists and doctors working side-by-side to solve complex problems.
• Great investors: We’re backed by Venrock, First Round Capital, Flare Capital, March Capital, Hedosophia and others. With our $165M raised so far, we have the resources to scale.
• Huge market: Disrupting a massive, growing $30+ billion market for transcription, dictation, and order-entry solutions. Our vision is to become the voice user interface for healthcare, relieving the administrative burden on doctors instead of adding to it.
• Great customers: Our solutions are used in health systems and clinics across the country, supporting clinicians across dozens of specialties.  Check out what one of our users says about how Suki has helped his practice.
• Impact: You’ll make an impact from day one. You’ll join a team working towards a shared purpose with a culture built upon deep empathy for doctors and passion for making their lives better. 

Suki is an Equal Opportunity Employer. We are dedicated to building a company that fosters inclusion and belonging and reflects the diverse communities we serve across the country. We know we are stronger this way, and we look forward to growing our team with these shared values.

About WPP Media 

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

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

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

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

Key Responsibilities: 

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

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

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

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

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

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

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

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

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

Senior-Level Expectations: 

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

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

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

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

Required Skills 

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

Good to Have 

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

Life at WPP Media & Benefits 

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

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

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

#LI-GOC

As a Staff Salesforce Systems Engineer, you will oversee the full spectrum of user and license administration, including complex role hierarchies, profiles, permission sets, and sophisticated sharing configurations. You will architect and maintain core Salesforce functionality leveraging Flows, approval processes, and custom record types to build high-impact dashboards and reporting suites. Beyond standard configuration, you will manage sandbox environments and apply Apex and trigger logic to drive advanced system customizations, ensuring the platform scales to meet evolving business demands.

What will you do?

• All aspects of user and license management, including new user setup/deactivation, roles, profiles, permissions, public groups, OWD, sharing rules
• Salesforce configuration changes, including (but not limited to) Flow, assignment rules, approval processes, fields, page layouts, record types, dynamic layouts, apps, actions, custom settings, mobile administration, dashboards, and reports
• Understanding of basic triggers/Apex code knowledge
• Sandbox environment management
• DevOps/release management experience
• Identify and gather requirements, translating into best practice, scalable solutions with a focus on exceptional user experience
• Identify unused or underutilized platform features
• Create a platform roadmap and define priorities, liaising with stakeholders
• Own the communication of any platform changes to end users and stakeholders
• Data management to improve Salesforce data quality, implementing rules and automation as needed
• Proactive system maintenance, including security reviews, release updates, health check, and Optimizer
• User support tickets
• Monitor and improve user adoption
• New user and ongoing user training
• Technical documentation
• Management of integrated applications and third-party suppliers including [e.g. DocuSign, Conga, any third party tool etc]

What skills and knowledge should you bring?

• Required:
  • Strong Salesforce product knowledge and at 7-8 five years of hands-on Salesforce Administration experience with [Sales Cloud, Service Cloud, Experience Cloud]
  • Certified Salesforce Administrator
  • Additional Salesforce certifications (e.g. Advanced Administrator, Platform App Builder)
  Experience and Education:
  • Good understanding of the Lead to Order Process
  • Knowledge of Salesforce API and other integrations
  • Level of education: BA/BS
  • 8+ years of Salesforce support experience
  Knowledge, Skills, and Abilities
  Required:
  • A proactive attitude to platform enhancements
  • Designing scalable, best-practice solutions
  • Excellent relationship-building skills
  • Ability to liaise with stakeholders at all levels
  • Translating requirements into technical solutions
  • Experience in change management and governance
  • Training end users and key stakeholders
  • Technical documentation
  • Available and responsive to questions
  • Experience implementing Salesforce configuration changes
  • DevOps/release management experience
  Desirable:
  • Understands basic triggers/Apex code knowledge
  • Demonstrates continued personal/professional development
  • Is active in the Salesforce community

Why us?

• You will work on real-world problems and make an impact by protecting our customers from cyber threats. You will be joining a cutting-edge project and will be able to influence the architecture, design, and structure of our core platform. You will tackle extraordinary challenges and work with the very BEST in the industry.
• Medical, Vision, Dental, 401(k), Commuter, Health and Dependent FSA
• Unlimited PTO
• Paid Company Holidays
• Paid Sick Time
• Gym membership reimbursement
• Cell phone reimbursement
• Numerous company-sponsored events including regular happy hours and team building events

As a People Technology Program Specialist, you will lead the evolution of our HR ecosystem by designing complex Workday integrations and building custom applications via Workday Extend to solve unique business challenges. You will play a critical role in SentinelOne’s digital transformation by leveraging Workday Prism Analytics for advanced data modeling and implementing AI/ML concepts to automate routine HR tasks and enhance predictive analytics. By bridging the gap between HR strategy and technical execution, you will architect a seamless, scalable, and data-driven employee experience.

What You Will Do:

• Provide technical and functional expertise on Workday Systems
• Ensure systems are accurately configured to meet business requirements through routine data audits and validation
• Workday Integrations: Design, develop, test, and deploy complex integrations between Workday and third-party systems using Workday Studio, Core Connectors, and EIBs. This includes building both inbound and outbound integrations for various functional areas (e.g., benefits, payroll, financial systems).
• Workday Extend Apps: Lead the design and development of custom applications using Workday Extend to address unique business needs and enhance the user experience beyond standard Workday functionality.
• Data Transformation: Play a key role in data modeling, transformation, and reporting, with a strong emphasis on leveraging Workday Prism Analytics for advanced data aggregation and visualization to drive business decisions.
• Explore and implement AI/ML concepts to automate routine HR tasks, improve data quality, and enhance predictive analytics within the HRIS environment.
• Develop and maintain complex custom reports, dashboards, and scorecards in Workday using calculated fields and advanced reporting features to meet the needs of HR, Finance, and leadership.
• Ensure data integrity and privacy across all HR systems. Manage and maintain Workday security fundamentals, including role-based and domain-based security, security group configuration, and access control.
• Maintain documentation for all configurations, integrations, and reports, ensuring compliance with audit requirements and data governance policies.
• Partner with functional People Teams to analyze existing core HCM business processes (e.g., Hire to Retire, Onboarding, Change Jobs, Compensation Cycle) and implement improvements within Workday.
• Provide expert-level support, configuration, and troubleshooting for the following Workday modules: Core HCM, Benefits and Compensation, Time Tracking and Absence Management, Performance Management and Talent Management

What Skills and Knowledge You Should Bring:

• Bachelor’s Degree in Computer Science, Human Resources, Business Administration or other closely related field, or equivalent experience preferred
• 5-7 years HRIS experience required and 4+ years’ experience configuring and supporting systems, i.e., Workday, with system implementation experience required
• Workday experience required
• Hands-on expertise in configuring, integrating, and maintaining Workday HCM.
• Proven experience in building and deploying integrations using Workday Studio and other Workday integration tools.
• Demonstrable experience with Workday Extend and/or complex custom application development within an HRIS environment.
• Demonstrable experience in advanced reporting, specifically with Workday Prism Analytics transformation, development, and deployment.
• Knowledge of Workday security fundamentals and the configuration of various security groups and policies.
• Comprehensive functional knowledge across all major Workday modules: Core HCM, Benefits, Compensation, Time Tracking, Absence, Performance, Talent, and AI/ML.
• Excellent problem-solving skills and the ability to translate complex business needs into technical requirements and solutions.
• Excellent interpersonal and communication skills with the ability to communicate at all levels of the organization
• Excellent project planning, organization and time management skills including the ability to support and prioritize multiple projects

Why Us?

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

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

About the role

We are seeking an accomplished Data Engineer to join our dynamic and rapidly expanding Tech Ops division. With significant projected growth, this is an opportunity to drive meaningful technical impact. In this role, you will work directly with customers, data vendors, and internal engineering teams to design, implement, and optimize complex data integration solutions within a modern, large‑scale cloud environment.

You will leverage advanced skills in distributed computing, data architecture, and cloud-native engineering to enable scalable, resilient, and high‑performance data ingestion and transformation pipelines. As a trusted technical advisor, you will guide customers in adopting Abacus’s core data management platform and ensure high-quality, compliant data operations across the lifecycle.

Your day to day

• Architect, design, and implement high-volume batch and real-time data pipelines using PySpark, SparkSQL, Databricks Workflows, and distributed processing frameworks.
• Build end‑to‑end ingestion frameworks integrating with Databricks, Snowflake, AWS services (S3, SQS, Lambda), and vendor data APIs, ensuring data quality, lineage, and schema evolution.
• Develop data modeling frameworks, including star/snowflake schemas and optimization techniques for analytical workloads on cloud data warehouses.
• Lead technical solution design for health plan clients, creating highly available, fault-tolerant architectures across multi-account AWS environments.
• Translate complex business requirements into detailed technical specifications, engineering artifacts, and reusable components.
• Implement security automation, including RBAC, encryption at rest/in transit, PHI handling, tokenization, auditing, and compliance with HIPAA and SOC 2 frameworks.
• Establish and enforce data engineering best practices, such as CI/CD for data pipelines, code versioning, automated testing, orchestration, logging, and observability patterns.
• Conduct performance profiling and optimize compute costs, cluster configurations, partitions, indexing, and caching strategies across Databricks and Snowflake environments.
• Produce high-quality technical documentation including runbooks, architecture diagrams, and operational standards.
• Mentor junior engineers through technical reviews, coaching, and training sessions for both internal teams and clients.

What you bring to the team

• Bachelor’s degree in Computer Science, Computer Engineering, or a closely related technical field.
• 7+ years of hands‑on experience as a Data Engineer working with large‑scale, distributed data processing systems in modern cloud environments.
• Working knowledge of U.S. healthcare data domains—including claims, eligibility, and provider datasets—and experience applying this knowledge to complex ingestion and transformation workflows.
• Strong ability to communicate complex technical concepts clearly across both technical and non‑technical stakeholders.
• Expert‑level proficiency in Python, SQL, and PySpark, including developing distributed data transformations and performance‑optimized queries.
• Demonstrated experience designing, building, and operating production‑grade ETL/ELT pipelines using Databricks, Airflow, or similar orchestration and workflow automation tools.
• Proven experience architecting or operating large‑scale data platforms using dbt, Kafka, Delta Lake, and event‑driven/streaming architectures, within a cloud‑native data services or platform engineering environment—requiring specialized knowledge of distributed systems, scalable data pipelines, and cloud‑scale data processing.
• Experience working with structured and semi‑structured data formats such as Parquet, ORC, JSON, and Avro, including schema evolution and optimization techniques.
• Strong working knowledge of AWS data ecosystem components—including S3, SQS, Lambda, Glue, IAM—or equivalent cloud technologies supporting high‑volume data engineering workloads.
• Proficiency with Terraform, infrastructure‑as‑code methodologies, and modern CI/CD pipelines (e.g., GitLab) supporting automated deployment and versioning of data systems.
• Deep expertise in SQL and compute optimization strategies, including Z‑Ordering, clustering, partitioning, pruning, and caching for large‑scale analytical and operational workloads.
• Hands‑on experience with major cloud data warehouse platforms such as Snowflake (preferred), BigQuery, or Redshift, including performance tuning and data modeling for analytical environments.

What we would like to see but not required:

• Experience in large-scale healthcare or payer data environments.

What you’ll get in return :

• Competitive Leave & Benefits
• Comprehensive health coverage
• Equity for every employee – share in our success
• Growth-focused environment – your development matters here

Work arrangements :

• Standard hours: 8 hours/day, 5 days/week
• Location: Pune, Hybrid (3 days a week in office)
• Shift: 12pm-9pm IST

So, what’s the role all about?

The Specialist Software Architect is responsible for providing technical leadership across development teams in one or more functional areas. This position is ultimately responsible for the successful implementation of key deliverables to ensure that each release is designed with high availability, scalability, serviceability and supportability in mind.

How will you make an impact?

• Set the end-to-end technical direction for the team, including platform, technology, tools, and infrastructure.
• Communicate architecture in an effective and professional manner.
• Individual contributor.
• Drive technical decisions, solve tough problems, and coordinate multiple project execution.
• Ensure that the Development coding quality standards and review processes are followed to ensure proper security and high availability standards.
• Monitoring the quality of code that is delivered by your team through reviews and other processes.
• Foster strong teamwork environment and create passion and energy within the team.
• Represents self and department with professionalism and competence.
• Always Follow the company Code of Ethics and policies and procedures
• Overall responsibility for platform architecture, establish well architected and designed solutions. Working with several scrum teams and actively involved in the design of multiple features in parallel. Mentor and develop engineers and Involvement in hiring.
• Drive the architecture of a project/product line, including authoring functional and design specifications, scalability, security, data flow.
• Identify impact of new technologies on our products and communicate to development teams.
• Conduct architectural and design reviews and code reviews
• Evaluate new technologies/innovations and industry trends.
• Intentionally drives business value through architectural innovation

Have you got what it takes?  

• 8-12 years of software development experience
• Skill set:- C#, .Net 8, Angular 18, MS-SQL
• About 3 years’ experience as an architect for AWS Cloud-SaaS-multi tenant applications.
• Experience designing multi-tiered service-oriented applications and microservices, REST, Event Driven Architecture
• Development experience with Web development technologies (JS, HTML5, CSS3, Vue/Angular/React)
• Development experience with C# and Microsoft family of frameworks
• Experience with .Net Migration from legacy application to .Net core.
• Working Knowledge of design patterns, methodologies and architectural styles
• Experience in database design, Data APIs, Batches/Big Data
• Experience with databases like Oracle, Postgres, MS-SQL
• Experience with Containerization Services like Docker, Kubernetes
• Experience with Kafka, Rabbit MQ
• Experience with AI/ML development or usage will be a big plus
• Experience with NoSQL DBs will be an advantage.
• Exposure to Performance Engineering, Cloud SLA, Availability, resiliency will be a plus
• Experience of APM tools like Datadog or Dynatrace will be an advantage
• Technically Savvy, Influencer and Learner
• Experience using Test Driven Development, Continuous Integration, and Test Automation   

You will have an advantage if you also have:

• Experience with CI/CD technologies (Jenkins, Octopus etc.)
• Knowledge of secure code practices.
• Docker, Container orchestration experience
• Familiar with AWS
• Knowledge of Grafana and Prometheus for proactive monitoring and alerting

What’s in it for you?

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!

Enjoy NiCE-FLEX!

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 10838
Reporting into: Tech Manager
Role Type: Individual Contributor

Staff Engineer – Frontend (React/Micro-Frontend Architecture)

Are you a senior engineering leader who thrives on solving complex technical challenges, mentoring others, and shaping the future of user interfaces for global SaaS products? Join us at Ivanti and help build secure, scalable solutions that empower 34,000 customers—and influence how IT and security teams experience our cutting-edge platforms every day.

Why this role matters

As a Staff Engineer – Frontend, you’ll set the technical vision for micro-frontend architectures, drive modernization for enterprise SaaS applications, and enable rapid, secure innovation across our global engineering teams. Your work will directly impact how customers interact with Ivanti’s mission-critical IT security products, unlocking new possibilities and setting industry-leading standards for user experience, performance, security, and reliability. By joining us, you’ll shape the future of technology on a truly global scale, surrounded by teammates who support and inspire you.

What you’ll do

• Architect, build, and evolve scalable micro-frontend and SPA solutions for enterprise-grade SaaS platforms, using React and Redux.
• Lead modernization efforts, driving adoption of advanced UI/UX patterns and Back-End-for-Front-End (BFF) strategies to decouple frontends from backends.
• Collaborate closely with Product, UX, and Architecture teams to design interactive dashboards and analytics interfaces that turn customer needs into elegant visual solutions.
• Champion performance, testing, and scalability—optimizing bundles, implementing robust test strategies (Jest/React Testing Library), and ensuring smooth, responsive handling of large datasets.
• Integrate frontend systems securely with REST APIs and cloud services, supporting secure authentication, real-time data, and high-availability content delivery.
• Mentor and guide engineers through code reviews, technical discussions, and agile ceremonies—promoting engineering excellence and continuous improvement.
• Advocate for developer productivity by leading adoption of TypeScript, CI/CD pipelines (Jenkins/GitHub Actions/Azure DevOps), AI-assisted tooling, and systematic refactoring.

What you will bring

• 8+ years professional experience in frontend software engineering, with deep proficiency in JavaScript, TypeScript, React, Redux, and associated technologies.
• Strong technical expertise with micro-frontend architecture, BFF patterns, REST API integrations, and building secure, scalable SPAs.
• Hands-on experience with Node.js/Express, Webpack/Rollup, Docker, and CI/CD pipelines.
• Working knowledge of frontend security best practices, accessibility standards, HTML5/CSS3/SCSS, and responsive design principles.
• Experience designing complex data visualization interfaces (AmCharts, D3.js, or similar libraries).
• Solid collaborator and communicator—trusted by peers, PMs, and UX designers alike.
• Passion for mentoring, continuous learning, and sharing knowledge.
• Bonus: Experience with enterprise SaaS (especially IT/security domains), internationalization/localization across large-scale platforms, NoSQL/Elastic Search/PostgresDB, Python or Go, and AI-assisted development tools.

Why Ivanti?

• Friendly, flexible working model – Empower excellence whether you’re at home or in the office.
• Competitive compensation & total rewards – Health, wellness, and financial benefits for you and your family.
• Global, diverse teams – Collaborate with talented colleagues in 23+ countries.
• Learning & development – Grow your skills with world-class learning tools and programs.
• Equity & belonging – Your story matters, and your perspective shapes our solutions.

What drives us

Ivanti’s mission is to elevate human potential by managing, protecting, and automating technology for continuous innovation. Through diverse, inclusive hiring and a deep commitment to our people, we deliver solutions that move the world forward.

Inclusion at Ivanti

We’re proud to be an Equal Opportunity Employer. We’re committed to building a diverse team and fostering an inclusive environment where everyone belongs. We welcome applicants from all backgrounds and walks of life.

Need adjustments during the process? Reach out to talent@ivanti.com—we’re happy to help.

Ready to shape the future of secure enterprise technology?
Apply now and join a collaborative team that makes a difference, every day.

#LI-SS1

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

Senior Java Engineer

The Senior Java Engineer will be responsible for architecture by partnering with the application architect, developing new or existing architecture designs, and maintaining scalable applications utilising coding best practices. The right candidate will have worked on all levels of the tech stack, have extensive experience writing well-tested production-quality code, and is familiar with CI/CD pipelines and code release processes. Excellent spoken and written communication skills (English) are essential for this remote position.

Position Details: 

• Location: Ahmedabad
• Mode of Working: On-site

Key Responsibilities:

• Collaborate with the application architect on system design and architecture.
• Develop, test, and maintain scalable, high-performance applications using best practices.
• Troubleshoot and resolve issues quickly, identifying root causes and implementing robust solutions.
• Contribute to the continuous improvement of the development process.
• Stay up-to-date with emerging technologies and trends, integrating them into existing applications where appropriate.
• Participate in code reviews to ensure high code quality, security, and maintainability.

The Essentials:

• 5+ years of experience with Java.
• 3+ years of experience with any JavaScript UI frameworks 
• Strong Experience with Java Frameworks like Spring MVC.
• Outstanding English communication skills (both written and spoken).
• Expertise in developing high-performance Batch Jobs.
• In-depth knowledge of system and architecture design fundamentals.
• Experience with both relational databases (Oracle, MySQL). Good knowledge of database queries.
• API development experience, including designing and consuming REST APIs.( Native Services)
• Solid experience working with AWS or other cloud platforms, including services like ECS, EC2, S3, Lambda, RDS...etc.
• Strong understanding of application Spring security best practices.
• Committed to writing well-tested, high-quality code with strong documentation.
• Proficient with version control tools like Git (GitHub experience preferred).
• Self-driven problem solver who can troubleshoot any issues/bugs that arise until a viable solution is found.
• Ability to work both as part of a team and operate independently, as appropriate.
• Some experience writing unit and integration tests.

Other Desired Skillsets:

• Hands-on experience with CI/CD pipelines and tools.
• Experience working with Digital Asset Management systems.

Nice to Have:

• Proficient in HTML5, CSS3, and building responsive web applications (experience with Bootstrap/javaScript/react or similar frameworks preferred).

  Experience with containerization technologies like Docker and orchestration tools like Kubernetes.

Qualification:

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

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

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 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

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.

Okta seeks a skilled Staff Full Stack Engineer with expertise in NetSuite and/or  Oracle Fusion Cloud Applications. As part of our Business Technology team, you will be responsible for developing and optimizing full-stack solutions, including custom scripts, workflows, integrations, and system enhancements for both NetSuite and Oracle Fusion to improve business processes and scalability. This role will report to the Manager in Bangalore, India. We’d love to hear from you!

Job Duties and Responsibilities

• Design, develop, and maintain full-stack solutions for Finance Tech stack like NetSuite, Coupa and Oracle Fusion Cloud Applications etc., using any of the full-stack applications like Node Js/React
• Develop and maintain robust off-platform integration scripts using Python & LangChain to manage data transfer and interactions between NetSuite (via SuiteTalk or RESTlets) and AI Platforms
• Architect and implement scalable, secure, and cost-efficient cloud-native solutions on AWS for RAG, MCP, and Agentic AI (LangGraph) 
• Closely work with the BT Product Manager to design, develop, test, implement & support system solutions primarily in Finance Technology
• Provide technical consultation, best practices, and problem resolution for AI and Agentic AI for the Finance tech stack NetSuite, Oracle Fusion, and associated integrated systems
• Support & resolve production issues across the full application stack
• Develop and maintain integrations with third-party applications via REST/SOAP APIs
• Design and implement custom Generative AI solutions using the SuiteScript Generative AI API for practical NetSuite use cases and explore similar capabilities in Oracle Fusion

Required Skills:

• 9+ years in Python and its libraries (e.g., Pandas, Boto3) for data manipulation, ETL processes, and developing serverless functions to interact with foundational AI services on platforms like AWS Bedrock.
• Deep hands-on experience with AWS solutioning, including designing and deploying production applications using core services such as AWS EC2, AWS Lambda, Amazon S3, Amazon RDS, and API Gateway. Familiarity with Infrastructure as Code (IaC) tools like CloudFormation or Terraform is essential.
• Proficiency in NetSuite development experience (SuiteScript, SuiteFlow, SuiteTalk).
• Experience with SuiteCloud tools, REST/SOAP APIs, and third-party integrations.
• Experience with the SuiteScript Generative AI APIs to integrate LLM capabilities for advanced scripting solutions
• Strong understanding of Finance Business processes (Order Management, Billing, Vendor bill, etc.).
• Proficiency in JavaScript, SQL, and related web technologies
• Configure NetSuite modules to align with business needs, including leveraging Prompt Studio to customize and manage NetSuite AI functions like Text Enhance.
• Ability to drive and architect solutions with other developers, focusing on maximizing the value of embedded NetSuite AI capabilities
• Working Experience on the MCP and familiar with SaaS MCP connectors, like NetSuite MCP or similar
• Working experience with foundational AI services, with a desire to use a unified platform like AWS Bedrock for Generative AI development and deployment
• Nice to have some core Amazon Machine Learning (ML) services, specifically AWS SageMaker (for building, training, and deploying custom ML models), AWS Comprehend (for natural language processing and text analytics), and  Retrieval Augmented Generation (RAG)

Education and Certifications

• A Bachelor’s degree in Computer Science, Information Systems, or equivalent years of industry experience
• AWS cloud Certification or any ERP foundation certificate is a plus

#P25153_3431422
#Linkedin_Hybrid

Okta seeks a skilled NetSuite Developer to optimize, customize, and maintain our NetSuite ERP system. As part of our Business Technology team, you will be responsible for developing scripts, workflows, integrations, and system enhancements to improve business processes and scalability. This role will report to the Manager in Bangalore, India. We would love to hear from you!

Job Duties and Responsibilities

• Design and implement custom Generative AI solutions using the SuiteScript Generative AI API for practical NetSuite use cases
• Develop and maintain robust off-platform integration scripts, utilizing Python & LangChain and to manage data transfer and interaction between NetSuite (via SuiteTalk or RESTlets) and external AI/ML platforms, particularly for data preprocessing before RAG operations.1..
• Closely work with the BT team to design, develop, test, implement & support system solutions primarily in Finance Technology.
• Provide technical consultant, best practices, and problem resolution.
• Support & resolve production issues
• Develop and maintain integrations with third-party applications via REST/SOAP APIs

Required Skills:

• 9+ years in Python and its libraries (e.g., Pandas, Boto3) for data manipulation, ETL processes, and developing serverless functions to interact with foundational AI services on platforms like AWS Bedrock.
• Proficiency in NetSuite development experience (SuiteScript, SuiteFlow, SuiteTalk).
• Experience with SuiteCloud tools, REST/SOAP APIs, and third-party integrations.
• Experience with the SuiteScript Generative AI APIs to integrate LLM capabilities for advanced scripting solutions.
• Strong understanding of NetSuite ERP modules (Order Management, Billing, Vendor bill, etc.).
• Proficiency in JavaScript, SQL, and related web technologies
• Configure NetSuite modules to align with business needs, including leveraging Prompt Studio to customize and manage NetSuite AI functions like Text Enhance.
• Ability to drive and architect solutions with other developers, focusing on maximizing the value of embedded NetSuite AI capabilities.
• Deep practical experience in Prompt Engineering and iterative refinement of prompts within NetSuite Prompt Studio to maximize the relevance and accuracy of NetSuite AI outputs like Text Enhance.1
• Familiarity with containerization and orchestration tools (e.g., Docker) for deploying Python-based external services that augment NetSuite's capabilities
• Experience with ERP like Oracle Fusion Cloud Applications or SAP H4/HANA is a plus.
• Nice to have some experience with foundational AI services, including the desire to utilize a unified platform like AWS Bedrock for Generative AI development and deployment

Education and Certifications

• A Bachelor’s degree in Computer Science or Information Systems or equivalent years of industry experience
• NetSuite Administration or ERP consultant certification is an advantage

#P22115_3060755
#LI_Hybrid_Bengaluru

Get to know Okta

Okta is The World’s Identity Company. We free everyone to safely use any technology—anywhere, on any device or app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth. 

At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every box - we’re looking for lifelong learners and people who can improve us with their unique experiences. 

Join our team! We’re building a world where Identity belongs to you.

Company Description:

Okta is the leading independent provider of enterprise identity. The Okta Identity Cloud enables organizations to securely connect the right people to the right technologies at the right time. With over 6,500 pre-built integrations to applications and infrastructure providers, Okta customers can easily and securely use the best technologies for their business. Over 7,950 organizations, including 20th Century Fox, JetBlue, Nordstrom, Slack, Teach for America and Twilio, trust Okta to help protect the identities of their workforces and customers

Access Management Foundation Team

The Access Management Pillar at Okta is on a mission to seamlessly and securely authorize users to access any resource they need to get their work done. Our goal is to lead the industry in Zero Trust identity management. 

The Access Foundation Backend Team is at the core of this mission, building and maintaining the foundational components and frameworks that power Okta's identity and access management solutions. We develop Okta cloud services and client software that allow users to seamlessly login to devices and use Okta authenticators to access applications securely. Learn more about Okta’s Engineering on our blog.

About You

We are looking for a seasoned Principal Engineer to join our team and help us build the future of identity and access management. Ideal candidate should be

• A strong Java developer with a passion for building high-quality, secure, and performant applications and frameworks. 
• Excited by the opportunity to work on cutting-edge security and identity management challenges and are a thought leader who can drive technical strategy and mentor other engineers.
• A collaborative individual with excellent communication skills, capable of working with cross-functional teams to deliver on a shared vision. 
• Not just be a builder; but a force multiplier who can create frameworks and solutions that enable other teams to be more productive.

Job Duties and Responsibilities:

• Design, develop, and maintain core components of the Okta Access Management platform
• Lead the architectural design and implementation of new features and services, with a focus on scalability, performance, and security.
• Build and maintain frameworks that enable other engineering teams to ship modular and secure code quickly.
• Collaborate with product managers, architects, and other engineering teams to define the technical strategy and lead the prototyping of framework components
• Following best practices, contribute to technical designs, proposals, and architectural decisions.
• Drive a culture of quality and continuous improvement, with a focus on robust testing, monitoring, and operational excellence.
• Stay up-to-date with the latest industry trends and technologies in identity, security, and distributed systems.

Minimum Requirements:

• 12+ years of experience building and scaling Java-based web applications and services.
• A deep understanding of design patterns, scalability patterns, security engineering, and object-oriented principles.
• Experience working in a fast-paced, agile environment, with a strong understanding of CI/CD practices.
• Strong communication skills and the ability to work across functions

Nice to have:

Experience with identity and access management (IAM) protocols such as SAML, OAuth, FIDO, and WebAuthn

• Experience with security best practices and threat modeling

Experience with one or more UI technologies such as Angular, ReactJS, Backbone, and Vue. 

• Knowledge of cybersecurity principles, secure coding practices, and certifications like CISSP or Security+.

Education and Training:

• Bachelor’s degree in Computer Science or equivalent experience.
• 12+ years of software development experience

#LI-Hybrid

P24162_3334963