About the team 

Roku pioneered TV streaming and continues to lead, innovate and shape the future of streaming. You will be part of a high-performance engineering team responsible for The Roku Channel (TRC), the fastest growing FAST (Free-Ad-Supported-TV) streaming service in US and Mexico. 

About the role

You will be responsible for driving the test automation for The Roku Channel streaming apps, features and services on multiple platforms to improve product quality, increase team productivity and enhancing a culture of continuous quality improvement throughout the software development lifecycle. You will be a self-starter, have endless curiosity, ability to think big along with a bias for action for fast paced, high-quality execution.  

What you’ll be doing 

• You will be part of the core QA engineering team with a significant ownership to drive automation for The Roku Channel app on multiple platforms like FireTV, GoogleTV, Samsung, Web etc. 
• Use AI tools to simplify overall product testing process. 
• Utilize and integrate automated test tools, frameworks, systems, and libraries throughout the product lifecycle. 
• Build test plans, write automation tests, analyze/troubleshoot failures, track defects, drive resolution, verify fixes and communicate results to stakeholders. 
• Build and enhance the automation lab setup. 
• Collaborate with multiple cross functional teams like product, UX and engineering to build delightful streaming experiences, fine tune quality of experience, investigate and remediate potential E2E application and streaming quality problems. 

We’re excited if you have 

• Strong problem solving and analytical abilities, ability to troubleshoot, identify and resolve defects. 
• 7+ Years in a Software Engineering or Test Automation role working on large scale web applications on cloud platforms using REST APIs. 
• Experience with video streaming domain and technologies like DASH, HLS, MPEG-4, WideVine, FairPlay. 
• Strong programming skills in one or more of JavaScript/TypeScript, Python, Java, Go. 
• Very good understanding of core CS concepts including operating systems, algorithms, data structures, database and frontend/Web fundamentals including HTML5, CSS. 
• Solid experience with one or more automation frameworks like Cypress, Selenium, Cucumber, Appium, JUnit etc. 
• Passion for using AI for test automation to dramatically increase execution velocity and improve product quality. 
• Familiarity with TDD/BDD paradigms, AI for QA automation. 
• Excellent interpersonal, written and verbal communication skills, and ability to collaborate effectively with cross-functional teams. 
• Bachelor's Degree in Computer Science or equivalent; Master's degree preferred. 

About the Role 

We are building a next-generation observability and cloud platform that is high-performance, cost-efficient, secure, and scalable across multi-region, multi-cloud clusters. You will lead the architecture and evolution of Roku’s observability and cloud infrastructure stack. This includes metrics, logs, traces, telemetry pipelines, service mesh, developer experience, and reliability of systems that power thousands of services and millions of devices. 

You will drive a vision where developers gain deep visibility with minimal overhead, onboarding is seamless, and insights are available in real time. Your work will directly help Roku scale efficiently while maintaining reliability, cost control, and performance. 

What You’ll Be Doing 

• Architect and lead Roku’s observability platform across metrics, logs, and traces; evolve data pipelines and storage layers optimized for high throughput, performance, and cost at Roku scale (TSDBs, Parquet, distributed processing). 

• Extend and harden open‑source observability systems; overhaul core components (e.g., storage layers, query paths) to improve performance, reliability, and usability at scale. 

• Implement features such as pre‑aggregation, down-sampling, and sampling to reduce load and accelerate queries across the platform. 

• Collaborate across platform, SRE, and product teams to migrate hundreds of workloads to our common platform; augment and automate CI/CD flows and onboarding. 

• Integrate security into infrastructure and platform services; ensure robust multi‑tenant, multi‑cluster, and multi‑cloud designs. 

• Contribute improvements back to open source and CNCF‑aligned projects; shape standards adoption (OpenTelemetry, OpenMetrics) across the company. 

• Mentor engineers; establish best practices for reliability, efficiency, and cost management across service mesh and observability domains. 

What You'll have  

• 15+ years in software engineering with a track record of architecting distributed systems or platforms at scale. 

• Strong hands‑on experience in Golang and one scripting language (e.g., Python or Shell). 

• Experience operating observability at pb-scale ingestion and hundreds of millions of series. 

• Expertise in observability platforms and tooling (Prometheus, Grafana, Loki, Tempo, ELK/OpenSearch, ClickHouse) and standards (OpenTelemetry, OpenMetrics).  

• Deep experience building systems of scale and operating cloud infrastructure with Kubernetes; strong proficiency with service mesh technologies (Istio/Envoy), infrastructure‑as‑code (Terraform) and experience in multi‑cloud (AWS, GCP) 

• Demonstrated ability to evolve storage and query architectures for cost, scale, and latency (e.g., TSDB, Parquet, distributed processing). 

• Proven experience integrating security as part of infrastructure and platform development.   

• Exceptional cross‑functional communication; effective collaboration with both technical and non‑technical stakeholders.
• Culture fit: independent thinker, pragmatic problem‑solver, low‑ego collaborator who moves fast and focuses on company success. 

• Experience integrating AI tools to improve processes and reduce toil. 
• Open‑source contributions in CNCF projects is preferred but not mandatory.  

#LI-DS4

About the team

About the Role

What you’ll be doing

• Oversee the design, implementation, and maintenance of scalable and resilient cloud infrastructure on platforms spanning AWS and GCP. Ensure high availability, reliability, and performance of critical systems
• Collaborate with your peers to be responsible for the entire software lifecycle, seek the right problem to solve, and strive for excellence
• Manage individual project priorities, deadlines, and deliverables related to your technical expertise and assigned domains
• Lead incident response efforts, working closely with cross-functional teams to resolve issues quickly and minimize downtime. Implement effective incident management processes and post-incident reviews
• Collaborate with security teams to ensure the integrity and security of infrastructure and applications. Implement security best practices and compliance standards
• Identify performance bottlenecks and optimize system resources for maximum efficiency. Conduct regular performance tuning and capacity planning exercises
• Drive continuous improvement initiatives within the team and across the organization. Proactively identify areas for enhancement and implement solutions to address them
• Maintain comprehensive documentation of systems, processes, and procedures. Foster a culture of knowledge sharing and contribute to the collective learning of the team
• Participate in 24x7 on-call rotation, and be available to work with global teams in the event of critical outages

We’re excited if you have

• 12+ years of experience in DevOps/SRE roles
• Experience in cloud-focused software development, preferably in Go, Python, or other object-oriented programming languages
• Experience with a number of the following: ECS, Docker, Kubernetes, Envoy, Istio, Linkerd, Solo
• Experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, or CloudFormation
• Strong understanding of distributed systems, microservices architecture, and cloud-native technologies
• The drive and self-motivation to understand the intricate details of a complex infrastructure environment
• Strong proficiency in cloud platforms such as AWS, Azure, or GCP
• Solid understanding of networking, security, and compliance principles
• Proven track record of driving results and delivering high-quality solutions in a fast-paced environment
• Demonstrated ability to communicate clearly with both technical and non-technical project stakeholders, with the ability to work effectively in a cross-functional team environment
• Certifications in relevant technologies such as Certified Kubernetes Administrator (CKA), AWS Certified DevOps Engineer, or Certified Information Systems Security Professional (CISSP) are preferred
• BS Degree in Computer Science or Equivalent
  
  

#LI-SK8

About the Team

Roku pioneered TV streaming and continues to innovate and lead the industry. Continued success relies on investing in the Roku Content Platform, so we deliver high quality streaming TV experience at a global scale. As part of our Content Platform team you join a small group of highly skilled engineers, that own significant responsibility in crafting, developing and maintaining our large-scale backend systems, data pipelines, storage, and processing services. We provide all insights in regard to all content on Roku Devices. 

About the Role

We are looking for a Senior Software Engineer with vast experience in backend development, Data Engineering and Data Analytics to focus on building next level content platform and data intelligence, which empowers Search, Recommendation, and many more critical systems across Roku Platform. This is an excellent role for a senior professional who enjoys a high level of visibility, thrives on having a critical business impact, able to make critical decisions and is excited to work on a core data platform component which is crucial for many streaming components at Roku.

What You’ll Be Doing

• Work closely with product management team, content data platform services, and other internal consumer teams to contribute extensively to our content data platform and underlying architecture.
• Build low-latency and optimized streaming and batch data pipelines to enable downstream services.
• Build and support our Micro-services based Event-Driven Backend Systems & Data Platform.
• Design and build data pipelines for batch, near-real-time, and real-time processing.
• Participate in architecture discussions, influence product roadmap, and take ownership and responsibility over new projects.

We’re excited if you have

• 8+ years professional experience as a Software Engineer.
• Proficiency in Java/Scala/Python.
• Deep understanding of backend technologies, architecture patterns, and best practices, including microservices, RESTful APIs, message queues, caching, and databases.
• Strong analytical and problem-solving skills, data structures and algorithms, with the ability to translate complex technical requirements into scalable and efficient solutions.
• Experience with Micro-service and event-driven architectures.
• Experience with Apache Spark and Apache Flink.
• Experience with Big Data Frameworks and Tools: MapReduce, Hive, Presto, HDFS, YARN, Kafka, etc.
• Experience with Apache Airflow or similar workflow orchestration tooling for ETL.
• Experience with cloud platforms: AWS (preferred), GCP, etc.
• Strong communication and presentation skills.
• BS in Computer Science; MS in Computer Science preferred.
• AI literacy and curiosity.You have either tried Gen AI in your previous work or outside of work or are curious about Gen AI and have explored it.

#LI-SJ1

About the role  

Roku pioneered TV streaming and continues to innovate and lead the industry. The Roku Channel has us well-positioned to help shape the future of streaming. Continued success relies on investing in the Roku Cloud TV Platform so we deliver high quality streaming TV experience at a global scale.  

You will be part of the engineering team responsible for The Roku Channel streaming service and will contribute to building apps and features on multiple platforms like for the FireTV, GoogleTV, web, Samsung, FireTV etc. The projects that you will work on will impact millions of Roku users around the world. All along, you will have the opportunity to collaborate with key product engineering stakeholders across Roku engineering teams, and contribute towards building world class media applications.

The ideal candidate will have endless curiosity and can pair a global mindset with locally relevant execution. You should be a gritty problem solver and self-starter who can drive programs with the product and business teams as well as with external partners. The successful candidate will display a balance of hard and soft skills, including the ability to respond quickly to changing business needs. 
 

What you’ll be doing

You will work with a team of high performance and talented engineers building delightful experiences enjoyed by millions of viewers on The Roku Channel.  

• Contribute to the architecture, design and implementation of technology solutions for web-based video applications. 
• Maintain high coding standards and follow software engineering best practices.
• Participate and enhance a culture of engineering and operational excellence.
• Continually focus on innovation, and user delight while building and improving the user experience, reliability, stability, security and quality of the apps.
• Participate in scoping, technical design, estimation effort, coding, testing, debugging, code reviews, maintenance and support.
• Collaborate with product and program managers, UX designers, and cross-engineering teams to deliver project goals. 

We’re excited if you have 

• Strong problem solving and analytical abilities.
• Strong written and verbal communication skills.
• Experience with full stack web app development using Javascript/Typescript, HTML5, CSS.
• Experience building modern web applications (SPA, PWA, responsive) using frameworks like Node, React/Redux, Express, Material UI, Cordova, NoSQL etc. supporting millions of global users.
• Experience with AWS/GCP, APM and app analytics tools, familiarity with Docker/Kubernetes, npm/yarn, webpack, Backend-For-Frontend paradigm etc.
• Very good understanding of component-based arch, async operations, data binding, DOM manipulation, routing, SASS/LESS etc.
• Familiarity with media frameworks and streaming protocols HLS and MPEG-DASH, DRM, and media playback on HTML5, iOS, Android using one or more of MSE/EME, ExoPlayer, VideoJS/Dashjs etc.
• Experience with Kanban, Scrum, CI/CD, unit tests, automation, app and system monitoring.
• 6+ years of web development experience.
• BS or MS degree in Computer Science or equivalent. 
  
  

About the team

The Roku APPS team is a group of highly skilled technologists that builds innovative platform products and services that enable over 100M+ users and streaming devices. We connect users to the streaming content they love and enable content publishers to build and monetise large audiences. We work on a range of critical services that power the Roku eco-system, including device and account setup, identity, authentication, channel distribution to devices, and channel publishing.

About the role

We're now looking for a talented and experienced Backend Engineer to join Roku APPS team. The ideal candidate will have a strong background in microservices. If you have a consistent track record improving large scale systems and enjoy building consumer-facing platform, and If you are innovative at heart and have a great balance on learning, organising, building, and enjoy making an impact, this role might be a great fit for you! 

What you will be doing

• Build extremely large-scale platform products and services, used both by Roku engineers from across the company, and directly by consumers across millions of devices
• Work with Product/Design teams to iterate and build software, taking a concept from ideation to its production deployment and support
• Lead efforts to evaluate new technologies and continue to push for best practices across the entire development life cycle, including code and design reviews
• Managing project priorities, deadlines, and deliverables
• Participate in Agile development process, including scoping, technical design, coding, testing, deployment, and maintenance

We're excited if you have

• 8+ years of experience building large-scale distributed systems
• 5+ years working with cloud-based platforms and infrastructure
• An understanding of system concepts and approaches such as eventual consistency and CAP theorem
• Ability and desire to lead the design and implementation of backend services coupled with a deep understanding of different data platforms
• Deep experience in building microservices using Java for container platforms such as Docker or Kubernetes
• Solid understanding of databases such as Aurora MySQL and DynamoDB
• Hands-on Experience working with AWS ALB, ECS, RDS, or similar cloud services
• Experience with a breadth of protocols and data formats such as REST, WebSockets, HTTPS, JSON, and Protobuf
• Demonstrated ability to drive timely consensus in design with other senior team members
• Bachelors or Master’s degree in Computer Science, Engineering, or equivalent

#LI-SJ1 

About the role:

We are hiring a Sr. Systems Engineer with a focus on supporting company’s ERP, NetSuite. This role will be focused on developing customizations (Suitelets, Suitescript, Workflows, etc) within NetSuite in support of our critical business processes. These processes range from Record to Report & Order to Cash processes we run on NetSuite. The individual must be competent to work with NetSuite and related modules/third-party applications and possess a well-rounded background in both business and ERP.

Alongside a team of Engineers, you will be encouraged to grow functionality holistically across the application. Engineers within the Finance Technology team are in a unique position to collaborate with other platform and integration developers working with other “Best of Breed” applications.

What you will be doing

• Design, develop, and test product features that meet business and technical requirements of NetSuite ERP modules and workflows
• Integrate NetSuite with other third-party systems using REST, SOAP web services, and APIs
• Assist in improving existing integrations with 3PL and ensure systems work optimally
• Work with Scrum Master, Product Owners, and other company stakeholders to understand business requirements, policies, and procedures
• Full lifecycle implementation of core and Advanced NetSuite modules
• Triage and correct performance and/or data integrity concerns by reviewing and evaluating code, data patches, system logs, and process/memory/disk consumption utilization.
• Help us continue to design for scale and reliability as we grow
• Detective work and problem solving, especially when the answer isn’t obvious
• Solve customer (external and internal) problems. Inclined to jump on calls and interact with those directly affected by the product to make sure they’re successful.
• Participate in the entire software development lifecycle, including analysis, design, development, testing, and deployment

What you need to have

• Bachelors or master’s degree in computer science or Information Technology
• 6+ years of NetSuite Development experience
• In-depth knowledge of ERP systems, with a preference for hands-on implementation experience
• Design, develop, and customize NetSuite solutions supporting end-to-end supply chain processes, including inventory management, procurement, demand planning, and order fulfillment.
• Hands-on experience with NetSuite Order Management (OM), Accounts Receivable (AR), Purchasing, and Inventory modules.
• Strong domain knowledge of Procure-to-Pay (P2P) and Order-to-Cash (O2C) business processes.
• Troubleshoot and enhance existing NetSuite supply chain configurations to improve performance, accuracy, and automation.
• Experience with HTML, CSS, Javascript and SuiteScript 1.0/2.0/2.1
• Experience in developing and managing NetSuite workflows, custom records, fields, forms, and advanced PDFs.
• Expertise in SuiteAnalytics for building custom reports, saved searches, and KPIs.
• Strong proficiency with REST, SOAP web services, and APIs for developing custom integrations with third-party systems
• NetSuite Developer Certification or equivalent experience preferred

About the team

• ML infrastructure: Help build a first-class machine learning platform from the ground up which manages the entire model lifecycle - feature engineering, model training, versioning, deployment, online serving/evaluation, and monitoring prediction quality.
• Data analysis and feature engineering: Apply your expertise to identify and generate features that can be leveraged by multiple use cases and models.
• Model training with batch and real-time prediction scenarios: Use machine learning and statistical modelling techniques such as Decision Trees, Logistic Regression, Neural Networks, Bayesian Analysis and others to develop and evaluate algorithms for improving product/system performance, quality, and accuracy.
• Production operations: Low-level systems debugging, performance measurement, and optimisation on large production clusters.
  Collaboration with cross-functional teams: Partner with product managers, data scientists, and other engineers to deliver impactful solutions.
  Staying ahead of the curve: Continuously learn and adapt to emerging technologies and industry trends.

• Bachelors, Masters, or PhD in Computer Science, Statistics, or a related field.
• Experience in applied machine learning on real use cases (bonus points for ad tech-related use cases). Min 5 years of total experience.
• Great coding skills and strong software development experience (we use Spark, Python, Java).
• Familiarity with real-time evaluation of models with low latency constraints.
• Familiarity with distributed ML frameworks such as Spark-MLlib, TensorFlow, etc.
• Ability to work with large scale computing frameworks, data analysis systems, and modelling environments. Examples include Spark, Hive, NoSQL stores such as Aerospike and ScyllaDB.
• Ad tech background is a plus.
• AI growth mindset / AI Literacy
  
  
  

About the team 

A reliable, privacy-safe, and scalable data foundation is critical to Roku’s rapidly growing advertising business. The Ad Data Activation organization builds the identity systems, device graph pipelines, audience platforms, insights tooling, and data collaboration capabilities that power targeting, measurement, and reporting across Roku Ads. 

We are hiring a Senior Machine Learning Engineer to help drive intelligence across these systems. You will work at the intersection of large-scale data platforms, applied machine learning, and generative AI — building capabilities that make Roku's advertising data more actionable for internal teams and advertisers. This includes building core generative AI platform features for Roku Advertising, while also applying traditional ML techniques to improve accuracy, automation, and decisioning across the ecosystem. If you enjoy working across data, ML, and new Gen-AI patterns — and want to shape how intelligence shows up inside Roku Ads — this role is for you. 

About the role 

In this role, you will design, build, and productionize intelligent capabilities that combine agentic Gen-AI systems with conventional ML pipelines across identity resolution, audience modeling, attribution, and optimization workflows. You will work with massive datasets, develop pipelines that transform raw signals into actionable features, and partner closely with product, data science, and platform teams. 

What you will be doing 

• Develop scalable and effective ML models and data pipelines to power identity, graph enrichment, audience segmentation, and campaign performance intelligence 

• Design and run experiments, measure impact, and translate results into product decisions and customer outcomes 

• Build and productionize agentic, generative-AI features — including reporting and insights agents, campaign-monitoring agents (with human-in-the-loop controls), and a semantic layer for reliable, natural-language analytics 

• Improve automation, reliability, and scalability across model training, feature engineering, deployment, and monitoring frameworks 

• Work closely with software and ML engineers to deliver end-to-end solutions from data ingestion through downstream systems 

• Partner with senior stakeholders to shape ML and Gen-AI strategy for Ad Data Activation — identifying the right problems for AI, ensuring safety, and driving advertiser productivity. 

We’re excited if you have 

• 5+ years of experience applying ML or data science to real business problems at scale 

• Master’s degree (or higher) and 4+ years of experience in CS, CE, ML, or a related field 

• Strong CS fundamentals and ability to design efficient algorithms and production systems 

• Experience with ML approaches used in large-scale data problems (e.g., regression, classification, tree-based methods, embeddings, sequence models, or basic NLP) 

• Strong intuition for defining KPIs, objective functions, and evaluation frameworks for ML-driven systems 

PREFERRED QUALIFICATIONS 

• Knowledge of programming languages such as Python, Scala/Java, C/C++, or similar 

• Experience working with large-scale data platforms (Spark, Presto/Trino, feature stores, data lakes, etc.) 

• Experience building or integrating with LLM/Gen-AI pipelines (prompting, evaluation, retrieval, safety) is a plus 

• Prior publications, patents, or open-source contributions are a plus 

About the team

Roku runs one of the largest data lakes in the world. We store over 70 PB of data, run 10+M queries per month, scan over 100 PB of data per month. 
Big Data team is the one responsible for building, running, and supporting the platform that makes this possible. We provide all the tools needed to acquire, generate, process, monitor, validate and access the data in the lake for both streaming data and batch. We are also responsible for generating the foundational data. The systems we provide include Scribe, Kafka, Hive, Presto, Spark, Flink, Pinot, and others. The team is actively involved in the Open Source, and we are planning to increase our engagement over time. 

About the Role 

Roku is in the process of modernizing its Big Data Platform. We are working on defining the new architecture to improve user experience, minimize the cost and increase efficiency. Are you interested in helping us build this state-of-the-art big data platform? Are you an expert with Big Data Technologies? Have you looked under the hood of these systems? Are you interested in Open Source? If you answered “Yes” to these questions, this role is for you! 

What you will be doing 

• You will be responsible for streamlining and tuning existing Big Data systems and pipelines and building new ones. Making sure the systems run efficiently and with minimal cost is a top priority 
• You will be making changes to the underlying systems and if an opportunity arises, you can contribute your work back into the open source 
• You will also be responsible for supporting internal customers and on-call services for the systems we host. Making sure we provided stable environment and great user experience is another top priority for the team 

We are excited if you have 

• 10+ years of production experience building big data platforms based upon Spark, Trino or equivalent 
• Strong programming expertise in Java, Scala, Kotlin or another JVM language. 
• A robust grasp of distributed systems concepts, algorithms, and data structures 
• Strong familiarity with the Apache Hadoop ecosystem: Spark, Kafka, Hive/Iceberg/Delta Lake, Presto/Trino, Pinot, etc. 
• Experience working with at least 3 of the technologies/tools mentioned here: Big Data / Hadoop, Kafka, Spark, Trino, Flink, Airflow, Druid, Hive, Iceberg, Delta Lake, Pinot, Storm etc 
• Extensive hands-on experience with public cloud AWS or GCP 
• BS/MS degree in CS or equivalent
• AI Literacy /AI growth mindset

About the team 
 
You will be part of the Roku Video Platform Engineering team and responsible for building the next-generation video services for the Roku Cloud TV Platform. 
 
About the role

Roku pioneered TV streaming and continues to innovate and lead the industry. The Roku Channel has us well-positioned to help shape the future of streaming. Continued success relies on investing in the Roku Cloud TV Platform, so we deliver a high-quality streaming TV experience at a global scale. 
In this role, you will work on key video services projects around video ingestion, encoding, VoD/live-linear, Server Side Ads Insertion, and Video QoS, with the goal of delivering a best-in-class streaming TV experience across all Roku devices. The projects that you will work on will impact millions of Roku users around the world. All along, you will have the opportunity to collaborate with key product engineering stakeholders across Roku engineering teams, and lead the design of our video services platform. 
The ideal candidate will have endless curiosity and can pair a global mindset with locally relevant execution. You should be a gritty problem solver and self-starter who can drive programs with the product and commercial teams within Roku and across external strategic partner organisations. The successful candidate will display a balance of hard and soft skills, including the ability to respond quickly to changing business needs. 
 
What you will be doing

• Design and implement highly scalable, and reliable web-scale applications
• Translate functional specifications into logical, component-based technical designs 
• Key technical contributor to the design and implementation of core software backend components of video services platform 
• Write and review code, evaluate architectural tradeoffs for performance and security for high-performance, and high-concurrency video infrastructure applications 
• Collaborate with other engineering groups across the company towards supporting our video services initiatives 
• Manage individual project priorities, deadlines and deliverables with limited supervision 

We're excited if you have

• Strong problem-solving and analytical abilities 
• 5+ years of solid programming experience in Java core libraries and developing web server applications, object-oriented design and design patterns, and passionate about writing high-quality and well-architected code 
• Strong technical competency and experience in building high-performance and cloud-based scalable micro-services 
• Experience with design and implementation of modern micro-services architectures and API frameworks (REST/JSON) 
• Experience with web servers such as Apache, Tomcat, and building and deploying services on AWS cloud 
• Experience with NoSQL data storage technologies such as Cassandra, DynamoDB, Redis, etc. as well as RDMBS like Oracle or MySQL 
• Domain expertise in the area of Over-the-Top Video delivery technologies, On-Demand/Live streaming, DRM, encoding, delivery, CDNs etc. is highly preferred 
• Ability to handle periodic on-call duty as well as out-of-band requests; strong written and verbal communication skills 
• Bachelor's Degree in Computer Science plus 8 years of experience or equivalent; Master's degree preferred 
  

About the team

Roku pioneered streaming to the TV and continues to innovate and lead the industry. While we are well-positioned to help shape the future of television – including TV advertising – around the world, continued success relies on its investment in our machine learning capabilities. Roku offers millions of options to our users: movies, episodes, news, sports, and channels from all around the world. The Roku Content Platform is key to onboarding content into the Roku ecosystem, delighting our customers. Building a content knowledge platform that provides insights to downstream systems like Search, Recommendations, Ads, and Voice to shape customers' experiences is why we’re actively looking for a Senior Machine Learning / AI Engineer, Content Platform who can drive further innovation.

About the role

Roku pioneered streaming to the TV and continues to innovate and lead the industry. While we are well-positioned to help shape the future of television – including TV advertising – around the world, continued success relies on its investment in our machine learning capabilities.

Roku offers millions of options to our users: movies, shows, news, sports, and channels from all around the world. The Roku Content Platform is key to onboarding content into the Roku ecosystem, delighting our customers. Building a content knowledge platform that provides insights to downstream systems like Search, Recommendations, Ads, and Voice to shape customers' experiences is why we’re actively looking for a Senior Machine Learning / AI Engineering Manager who can drive further innovation.

The person in this role will leverage their technical skills, business intuition, and analytical thinking to build best-in-class machine learning products. This includes integrating Generative AI capabilities and Vision Models to enrich content quality and user engagement. This is a role for a hardened ML practitioner and a highly skilled organizational leader. You will be the architectural and operational bridge between deep AI research and fast-paced product delivery. If you know how to build a 3-year vision for content discovery and translate it into 2-week shipping cycles, this is your team.

What you’ll be doing

• Vision & Strategy: Define the roadmap for ML within the Content Platform..
• Technical Leadership: Provide high-level guidance on model architecture and MLOps infrastructure to ensure models are scalable and production-ready.
• People Management: Lead and grow a high-performing team of ML Engineers. You will be responsible for career development, performance management, and maintaining a culture of rigorous experimentation.
• Cross-Functional Execution: Partner with Product, Engineering, and Content Strategy to align ML initiatives with business goals.
• Delivery: Champion a culture of incremental delivery. Balance long-term R&D with the need to deliver measurable improvements to the production environment.

We’re excited if you have

• 10+ years of total experience in software/ML engineering, with at least 5 years in a dedicated people management leadership role.
• MS or BS in Computer Science, Mathematics, or a related quantitative field.
• You possess a deep theoretical and practical understanding of Machine Learning. 
• You understand the business of streaming and how ML directly impacts the bottom line.
• You can explain complex model to a non-technical executive just as easily as you can debate architecture with a seasoned engineer.
• Proven track record of deploying large-scale ML models into production environments.
• Experience with modern ML stacks (e.g., LLMs, PyTorch, TensorFlow, Spark, and cloud-native MLOps tools).

About the team

At Roku, the Customer Care Engineering team is at the forefront of creating innovative solutions that redefine how we support millions of Roku users worldwide. We build and maintain a diverse ecosystem of cutting-edge tools and applications, including the Roku Support help center, advisor-facing tools for call centers, third-party partner integrations, internal web portals, and a robust suite of web services. From customer account management to big data pipelines, automated deployments, and build tools, our work touches nearly every aspect of the Roku experience.Our mission? To empower Roku customers and support teams with seamless automation, intuitive self-service tools, and powerful troubleshooting capabilities. We’re passionate about crafting secure, high-performance applications that not only solve problems but also deliver a delightful, branded user experience. If you’re excited about building scalable, impactful solutions that make a real difference, this is the team for you.

About the role 

Roku is seeking an experienced, versatile, and skilled Full Stack Engineer to join our dynamic Customer Care team. You will play a pivotal role in building and evolving a platform, leveraging web technologies and cutting-edge generative AI, to support world class customer care experiences including intelligent chatbots, agent dashboards, telephony integration, and self-service workflow automation. Your expertise will help shape intelligent, scalable solutions that enhance customer support experiences and multiple support call centers globally. 

What you'll be doing

• Design, develop, test, deploy, document, and maintain full stack web applications for a multi-region CRM platform
• Determine the strategic and tactical direction of the front-end architecture with cross-browser compatibility, accessibility and search engine optimization
• Build and optimize Retrieval-Augmented Generation (RAG) solutions to power chatbot interactions
• Advocate for operational excellence, driving best practices in monitoring, performance, and reliability.
• Participate in the agile development process, including scoping, technical design, effort estimation, coding, testing, debugging, code reviews, maintenance, and support
• Write clean, efficient, and maintainable code across frontend and backend services
• Monitor, debug, and resolve issues across the stack to maintain platform reliability.
• Stay updated on emerging technologies, bringing innovative ideas to enhance the platform.
• Collaborate with product managers, UX designers, data science and larger engineering team on business and architecture proposals to deliver seamless customer care experiences.

We're excited if you have

• 12+ yrs of relevant web development and production application support of highly trafficked consumer-facing web applications.
• In-depth experience with React and relevant toolset/framework ecosystem.
• Expert-level knowledge of JavaScript, Typescript – prototypical inheritance, scope and closures.
• Experience with js, React.js/Angular.js, Express, SASS/LESS, AWS, npm, Git and CI a necessity.
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and microservices architectures
• Strong understanding of database systems (SQL and NoSQL). 
• Familiarity with DevOps practices and tools (CI/CD, Docker, Kubernetes).
• Ability to decompose complex problems into manageable units of work.
• Excellent problem-solving skills and ability to work in an agile environment.
• Effective communication and collaboration skills.
• Bachelors or Master’s degree in Computer Science, Engineering, or equivalent.
• Experience with customer service platforms or CRM systems is preferred
• Hands-on experience developing RAG solutions or working with LLMs for chatbots is preferred
• Knowledge of service mesh architectures is preferred
• Exposure to observability tools and practices (e.g., Prometheus, Grafana) are preferred.

#LI-SJ1

About the role  

Our Search Platform sits at the heart of the Roku experience, powering voice, text, and visual discovery across 100M+ active accounts and every Roku-powered device worldwide.
 We own the entire stack —from ingesting & enriching a multi-million-title knowledge graph, to low-latency retrieval services and large-scale machine-learning systems that personalize results in real time. Our work doesn’t just help users find shows; it drives core product surfaces (home-screen rows, browse hubs, Roku Voice, mobile app search) and fuels partner monetization. If you enjoy turning cutting-edge research into products used billions of times a day, you’ll thrive here.

Roku’s footprint has more than quadrupled in the past five years, and user expectations have leaped just as fast—think LLM-based query understanding, vector-DB retrieval, on-device models, and multimodal search (voice, text, image). We’re now rebuilding our relevance stack for the next decade, blending classic IR with generative-AI techniques. You will be a technical leader spearheading that transformation. 

What you'll be doing 

• Apply state of the art ML on search using techniques in deep learning, bandits, transformers, LLMs, causal inference, and optimizations to make our users more delighted and engaged on the platform 
• Run online AB tests and analyze them against the critical business KPIs 
• Collaborate with US engineering teams as well as cross-functional teams to translate business requirements into technical specifications 
• Nurture our ML ecosystem to make it withstand scale, developer velocity and future business shifts 
• Provide technical leadership to drive technical and ML roadmap for search ranking and monetization 
• Help recruiting new engineers. Interview, train, and mentor new team members 
  
  We're excited if you have 
  
  
• 7+ years of experience (or PhD with 5 years of experience) applying Machine Learning to concrete problems at large-scale in domains like recommendation or search or ads 
• Strong CS fundamentals. Should be able covert ideas to code with ease 
• Good understanding of machine learning fundamentals like classification, deep neural nets, and sequence-based models. Familiarity with modern NLP stack and multi-modal representation learning is a plus 
• We'd love to see that you've worked with big data systems (Spark, S3, and Airflow) and can program (Java, Scala, or Python)  
• Good understanding of system architecture 
• Experience in big data technologies and streaming architecture, data pipelines, etc. 
• MS in Computer Science, Statistics, or related field, but a Ph.D. in CS or related fields is preferred 
  
• AI literacy and curiosity.You have either tried Gen AI in your previous work or outside of work or are curious about Gen AI and have explored it. 

#LI-AK1

About the Team 

Roku’s Search & Recommendations (S&R) Platform Engineering team is central to our mission of delivering outstanding streaming experiences to millions of people around the world. We develop and maintain the core platform that powers search, personalization, and content discovery at scale across every Roku device and service. 

We are a technically diverse and collaborative team that values ownership, transparency, and a culture of continuous improvement. We work closely with colleagues across platforms and infrastructure teams to deliver high-performance distributed systems and observability capabilities that enable real-time search, ranking, and recommendations. 

Our work includes designing and optimizing online inference infrastructure, feature stores, and data pipelines — all seamlessly integrated with the broader platform ecosystem (Kubernetes, Istio, Envoy). We’re passionate about solving complex technical challenges that have a direct impact on how users experience Roku. 

About the Role 

We are looking for a Senior Software Engineer with experience in building scalable, reliable software to help evolve and extend the infrastructure behind our Search and Recommendations platform. In this role, you’ll be part of a cross-functional, globally distributed team dedicated to creating fast, cost-efficient solutions that deliver relevant and seamless user experiences. 

You’ll contribute to the design, development, and operation of critical software and systems that power real-time search and personalised recommendations for millions of users. You’ll help shape the roadmap for our next-generation architecture, building standardisation and tooling efforts, and drive best practices in observability and resilience. 

We are a fast-moving team with a strong engineering culture built on clear communication, thoughtful decision-making, and a shared commitment to delivering impactful solutions. Collaboration is fundamental to how we work — we invest as much in supporting our growth as we do in building exceptional systems.

What You’ll Be Doing 

• Design, build, and operate platform software and infrastructure powering real-time search and personalised recommendations 

• Shape the roadmap for our next-generation architecture, including improvements in cost efficiency, observability, and resilience 

• Build tooling and standardisation, working with the broader platform teams to identify and align on shared approaches 

• Design and implement multi-tenant systems and APIs that accelerate development, reduce coupling, and serve multiple teams across Roku  

• Take ownership of quality and system performance from design through deployment and operation in production 

We’re Excited If You Have 

•  8+ years of professional experience building large-scale distributed systems
•  Proficiency in modern backend languages (Java, Python, Go) and scalable cloud-native architectures (AWS, Kubernetes, service meshes, etc.) 
•  Experience collaborating with engineers and product stakeholders to shape features and systems 
•  A platform mindset: you design and build software with reuse, observability, and scale in mind, supporting not only your team but the broader engineering organization 
•  A track record of improving performance, cost efficiency, and maintainability in complex environments 
•  Deep knowledge of DevOps practices, SRE principles, infrastructure-as-code, and real-time data processing 
•  Expertise in deploying and operating observability and tracing tools such as OpenTelemetry, Grafana Tempo, Thanos, Loki, and Prometheus at scale 
•  Education: Master’s degree in Computer Science, Engineering, or equivalent professional experience 

#LI-MM2

About the Team 

The DMP team plays a critical role in Roku’s Advertising organization, leading initiatives around audience management that power decision-making across the advertising ecosystem. We develop and manage products that enable advanced segmentation and audience management for advertisers while meeting the operational needs of internal teams. We work closely with Product Managers, Machine Learning, Ad Sales, Ads Operations, and multiple groups within Advertising Engineering to deliver high-impact solutions.Looking ahead, we are exploring AI-driven capabilities to further enhance the effectiveness of advertising campaigns and improve operational efficiency of our platforms. 

About the Role 

We are seeking a highly skilled Senior Software Engineer with deep expertise in big data technologies, including Apache Spark and Apache Airflow. This hybrid position bridges software engineering and data engineering, requiring the ability to design, build, and maintain scalable systems for both application development and large-scale data processing.In this role, you will collaborate with cross-functional teams to architect and manage robust, production-grade data products and APIs that power critical capabilities across the advertising platform. You will work with technologies such as Apache Spark, Apache Airflow, ScyllaDB/Cassandra, Aerospike, Kubernetes, and SpringBoot to deliver reliable, high-performance solutions. The ideal candidate is a proactive, self-motivated professional with a strong track record in building high-scale data services and a dedication to delivering exceptional results. 

What You’ll Be Doing 

Software Development 

• Design and build APIs and backend services using Spring Boot to support data products and audience management workflows. 

• Write clean, maintainable, and efficient code, ensuring adherence to best practices through code reviews. 

Big Data Engineering 

• Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow. 

• Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance. 

• Develop and fine-tune complex queries using Apache Spark for large-scale datasets. 

• Monitor, troubleshoot, and improve data systems to minimize downtime and maximize efficiency. 

API and Platform Development

• Design, Development, and maintain large scale, low latency API systems using SpringBoot and Kubernetes

• Maintain NoSQL Infrastructure including ScyllaDB and Aerospike

Collaboration & Mentorship 

• Partner with the machine learning team, software engineers, and other teams to deliver integrated, high-quality solutions. 

• Provide technical guidance and mentorship to junior engineers, promoting best practices in software and data engineering.

We’re Excited If You Have 

• Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience). 

• 8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark, Apache Airflow.

• Expertise in developing low latency APIs
  

• Strong understanding of SOLID principles and distributed systems architecture. 

• Proven experience in distributed data processing, data warehousing, and real-time data pipelines. 

• Advanced SQL skills, with expertise in query optimization for large datasets. 

• Exceptional problem-solving abilities and the capacity to work independently or collaboratively. 

• Excellent verbal and written communication skills. 

• Experience with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes. (preferred) 

• Experience in AdTech, in advertising data platforms and audience management. (preferred)

• Strong programming skills in Python, Java, and/or Scala. (preferred) 

• Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code tools (e.g., Jenkins & Terraform). (preferred) 

• Expertise in developing low latency APIs

•  Experience with building Agentic AI systems to automate decision-making and enhance analytics workflows. (preferred)

• Experience in AdTech, in advertising data platforms and audience management. (preferred)
  

About the team 

The Advertising Performance group focuses on performance for all participants in the Advertising ecosystem - Advertisers, Publishers and Roku. The systems and solutions span across different disciplines and technologies to perform realtime multi-objective optimization with distributed systems at large scale and low latencies. We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems and Auction Dynamics to solve a large set of complex problems. At the core of this is our Machine Learning, Experimentation and Inference Platform that powers the entire landscape which we continuously evolve over time.

About the role 

In this role you will work on building out a SOTA machine learning platform and apply various methodologies to solve a large variety of challenging problems in Advertising related to conversion modeling aligned with attribution methodologies/models, calibration, dynamic creative generation and optimization, forecasting and timeseries modeling, yield and margin optimization and Experimentation for A/B and multivariate testing. 

We’re looking for strong engineers well versed with modern large scale machine learning platforms with a solid grasp of core statistical techniques and deep experience in SOTA Deep Learning discriminative and generative models.  

What you’ll be doing  

• Building and evolving a SOTA Machine Learning Platform from feature generation to realtime inferencing that can optimize and deploy complex models at large scale and low latencies. 

• Building SOTA Deep learning discriminative models and build generative models to generate image and video ads geared towards optimizing performance. 

• Stay at the forefront of advancements in related areas. 

We’re excited if you have 
 

• BS or higher in CS, ECE or a related field. 

• 5+ years of experience in building out Machine Learning platforms or applying Deep Learning  methodologies. 

• Excellent communication and collaboration skills. 

Preferred Qualifications: 

• MS or higher CS, ECE or a related field. 

• Experience in the Advertising domain. 

• Contributions to open-source ML projects. 

About the Team 

The Cloud Technology Infrastructure team at Roku is looking for a dedicated engineer to join our Cloud Infrastructure Operations group. As a pivotal team, we’re committed to building a scalable, secure, and reusable infrastructure platform that empowers all Roku teams to deliver with speed and confidence. Embracing an ‘Infrastructure as Code (IaC) First’ methodology, we’re eager to onboard a professional who’s ready to partner across teams to build foundational components in Networking, Infrastructure, Identity Management, and Security. 

About the Role  

Are you passionate about streamlining the creation of Cloud infrastructure to achieve maximum efficiency? Do makeshift Cloud services that require manual configuration cause you concern? If you excel in roles that simplify processes for engineers, enabling them to take ownership with ease, and if you’re an advocate for Infrastructure as Code (IaC), then this opportunity is tailored for you. Join us and play a key role in shaping the building blocks that will empower teams across Roku to innovate and thrive. 

What you’ll be doing  

• Collaborate with development teams to enhance their cloud service management capabilities, ensuring they can independently deploy, monitor, and maintain their services. 
• Implement monitoring and observability solutions that provide real-time insights into infrastructure health, enabling proactive issue resolution and system optimization. 
• Participate in a shared On-Call rotation to support critical infrastructure incidents, IAC CI pipeline issues, and cloud networking escalations, ensuring high availability and rapid incident response. 
• Design and implement network observability solutions that provide end-to-end traffic visibility across cloud networking—including Kubernetes, VPCs, routing, peering, and cross-cloud connectivity—by collaborating with the Platform team to provide granular, real-time insights into cloud-native networking, leveraging visualization platforms and telemetry data to support troubleshooting and performance optimization. 
• Partner with technical leaders on the Infra Roadmap to fortify our infrastructure security, leveraging cutting-edge automation tools for proactive defense strategies. 
• Develop frameworks into Infrastructure as Code (IaC) workflows, promoting reusable and adaptable infrastructure components deployed via CI/CD. 
• Advocate for cloud cost optimization strategies, ensuring efficient resource utilization and cost-effective infrastructure management. 
• Champion best practices across all functions, including development, QA, and Infrastructure/Operations, to foster a culture of excellence and continuous improvement. 

We’re excited if you have 

• 7+ years of experience designing and operating scalable, resilient cloud-native systems, with a focus on automation, observability, and developer enablement. 
• Deep expertise in public cloud networking (AWS/GCP), including VPC design, peering, routing, NAT gateways, and service endpoints. 
• Developer skills in Python, Java, or Go writing applications and code that will bring together data from disparate systems and will work to help visualize data in a way that will make business decisions easier. 
• Experience managing and debugging traffic flows between Kubernetes workloads and cloud-managed services, with a strong understanding of how service discovery, DNS, and overlay networks impact observability. 
• Proven ability to architect and implement network mapping and visualization solutions (e.g., using tools like Istio telemetry, or custom Grafana dashboards) to provide actionable insights into traffic behavior and dependencies. 
• Required experience building and managing complex networks in public cloud providers like AWS, GCP and integrating them with cloud-native platforms, such as Kubernetes. 
• Hands-on advanced experience utilizing cloud-native services in large scale environments with AWS/GCP using Infrastructure-as-Code (Terraform) and other CI/CD tools/services. 
• Experience enabling monitoring solutions to visualize and create alerts for core infrastructure with one or more of the following: Grafana, Prometheus, and Datadog. 
• Experience driving timely consensus in design with other senior team members across a large organization. 
• Experience with how to create infrastructure using CI, Continuous Delivery, and Continuous Deployment workflows; GitLab experience desired. 
• Excellent written and verbal communication skills to help communicate complicated workflows to a broad and diverse user group. 
• B.S. or M.S. degree in Computer Science, Engineering, or equivalent. 
  
  
  
  
  

About the team

About the Role:

We are seeking a talented and experienced SRE (Site Reliability Engineering) Senior Software Engineer to join our dynamic team. The ideal candidate will have a strong background in SRE practices, cloud infrastructure management, and automation. If you have a consistent track record of architecting and building large-scale systems, enjoy solving intriguing system challenges at internet-scale, and if you are innovative at heart, and have a great balance of skills in learning, organizing, building, and enjoy making an impact, this role might be a great fit for you!

What you’ll be doing:

• Design & Infrastructure

  • Contribute to postmortem culture by facilitating comprehensive, blameless post-incident reviews that identify root causes, contributing factors, and actionable remediation items. Track incident trends to identify systemic issues and prioritize reliability improvements.

  • Implement chaos engineering practices to proactively identify failure modes, validate system resilience, and build confidence in recovery procedures. Conduct game days and disaster recovery exercises.

• SRE Process & Principles Implementation

  • Deploy and evolve SRE practices across the organization by establishing core SRE principles, frameworks, and methodologies. Define and implement service reliability practices, including Service Level Objectives (SLOs), Service Level Indicators (SLIs), and Error Budgets, to balance innovation velocity with system reliability.

  • Manage Error Budgets as a mechanism for making data-driven decisions about feature velocity vs. reliability. Track, report, and enforce error budget policies, facilitating conversations between engineering and product teams about risk tolerance and release decisions.

• Reliability Engineering & Infrastructure

  • Reduce toil through automation by identifying repetitive operational work and systematically eliminating it through infrastructure-as-code, automation frameworks, and intelligent tooling. Measure and track toil reduction efforts, aiming to keep toil below 50% of team time.

  • Implement capacity planning processes that ensure systems have adequate headroom to meet SLOs during peak traffic, unexpected load spikes, and degraded states. Develop predictive models and automated scaling mechanisms.

• Observability, Monitoring & Reporting

  • Build comprehensive observability systems that provide deep visibility into service health, performance, and user experience. Implement monitoring strategies based on the Four Golden Signals (latency, traffic, errors, saturation) and USE/RED methodologies.

  • Create SRE dashboards and reporting mechanisms that provide real-time visibility into SLO compliance, error budget consumption, and system reliability metrics. Develop executive-level reporting on reliability trends, incident impact, and improvement initiatives.

  • Establish alerting strategies that are actionable, symptom-based, and aligned with SLOs. Reduce alert fatigue by tuning thresholds and eliminating noise while ensuring critical issues trigger appropriate responses.

• Collaboration and Leadership

  • Partner with development teams to implement reliability from the design phase using SRE principles. Conduct design reviews focused on failure modes, scalability, observability, and operational concerns. Guide teams in building services that meet SLO requirements.

  • Collaborate through code reviews and design reviews, ensuring infrastructure-as-code, automation scripts, and reliability improvements follow best practices, are well-documented, and maintain high-quality standards.

  • Manage project priorities using error budgets as a decision-making framework. Leverage agile methodologies while ensuring reliability work gets appropriate prioritization alongside feature development.

• Operational Excellence & Continuous Improvement

  • Identify and eliminate performance bottlenecks through detailed analysis of metrics, traces, and profiles. Optimize system resources, tune configurations, and implement auto-scaling to ensure SLO compliance during varying load conditions.

  • Drive continuous improvement through SRE feedback loops by analyzing SLO violations, incident trends, and toil metrics to identify systemic improvements. Champion the reliability roadmap and advocate for technical debt reduction.

  • Maintain a culture of documentation and knowledge sharing by creating comprehensive runbooks, operational guides, system architecture documentation, and disaster recovery procedures. Ensure operational knowledge is distributed across the team.

  • Track and report on SRE metrics, including SLO compliance rates, error budget consumption, mean time to detection (MTTD), mean time to resolution (MTTR), toil percentage, and reliability improvement velocity.

• On-call & reliability

  • Participate in a 12x7 on-call rotation and be available to work with global teams in the event of critical outages

We’re excited if you have:

• Preferably 8+ years of experience in DevOps/SRE roles, with demonstrated expertise in implementing SRE principles, SLO/SLI frameworks, and error budget policies in production environments.

• Deep experience with observability and monitoring platforms such as Prometheus, Grafana, Datadog, New Relic, or equivalent, including experience building custom dashboards, alerts, and SLO-based monitoring.

• Strong background in incident management, including experience as an Incident Commander, conducting blameless postmortems, and implementing systematic reliability improvements based on incident learnings.

• Strong understanding of distributed systems and reliability engineering, including failure modes, fault tolerance patterns, circuit breakers, bulkheads, rate limiting, and graceful degradation strategies.

• Experience with a number of the following: Kubernetes, Docker, Service Mesh such as Istio, Envoy, Linkerd, Solo & ECS

• Experience in cloud-focused software development, preferably in Go, Python, or other object-oriented programming languages

• Experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, or CloudFormation

• Experience with CI/CD automation, including GitLab pipelines and other related tools.

• Strong hands-on experience with cloud platforms such as AWS, GCP or Azure

• Proven track record of implementing scalable, high-performance infrastructure solutions in fast-paced, dynamic environments

• Demonstrated ability to communicate clearly with both technical and non-technical project stakeholders, with the ability to work effectively in a cross-functional team environment

• Self-driven and detail-oriented with the ability to understand complex distributed systems and identify reliability risks proactively.

• Certifications in relevant technologies, such as Certified Kubernetes Administrator (CKA), AWS Certified DevOps Engineer, or Certified Information Systems Security Professional (CISSP), are preferred

• BS Degree in Computer Science or Equivalent.

#LI-SK8

About the role 

A highly scalable, highly available, real-time advertising platform is critical to support and grow Roku's rapidly expanding ad business. It is the mission of the Ad Engineering Team to build this platform. We are hiring a Senior Software Engineer, Advertising Platform, to be a vital part of this mission. If you bring extensive experience building complex systems, love great technology at scale, enjoy mentoring, jumping in, and figuring things out in any system, this role is for you! 

What you'll be doing 

• Work alongside a highly skilled engineering team to design, develop, and maintain large scale, highly performant, real-time applications. 
• Own building features, driving directly with product and other engineering teams 
• Demonstrate excellent communication skills in working with technical and non-technical audiences 
• Be an evangelist for best practices across all functions – developers, QA, and infrastructure/ops 
• Be an evangelist for platform innovation and reuse 
• Deliver top-quality software in a timely fashion 

We're excited if you have

• 8+ years of experience building large scale and low latency distributed systems. 
• Command of Java or C++. 
• Solid understanding of algorithms, data structures, performance optimization techniques, object-oriented programming, multi-threading, and real-time programming. 
• Experience with distributed caching, SQL/NO SQL, and other databases is a plus. 
• Experience with Big Data and cloud services such as AWS/GCP is a plus. 
• Experience in advertising domain a big plus 
• B.S. or M.S. degree in Computer Science, Engineering, or equivalent 
• Self-motivated individual with a high level of accountability and ownership.
• Critical thinking and practical decision making.
• Can do, results-oriented mindset.
• Nonpolitical, collaborative, and team oriented.
• Desire to win in a highly competitive industry. 
  
• AI growth mindset / AI Literacy

About the Team 

The Data Insights team plays a critical role in Roku’s Advertising organization, leading measurement and analytics initiatives that power decision-making across the advertising ecosystem. We develop and manage products that deliver actionable insights for advertisers while meeting the operational and analytical needs of internal teams.We work closely with Product Managers, Data Science, Ad Sales, Ads Operations, and multiple groups within Advertising Engineering to deliver high-impact solutions. Looking ahead, we are exploring AI-driven measurement capabilities to further enhance the effectiveness of advertising campaigns and strengthen internal analytics. 

About the Role 

We are seeking a highly skilled Senior Software Engineer with deep expertise in big data technologies, including Apache Spark and Apache Airflow. This hybrid position bridges software engineering and data engineering, requiring the ability to design, build, and maintain scalable systems for both application development and large-scale data processing.In this role, you will collaborate with cross-functional teams to architect and manage robust, production-grade data products that power critical analytics and measurement capabilities. You will work with technologies such as Apache Spark, Apache Airflow, Trino, Druid, Spring Boot, StarRocks, and Looker to deliver reliable, high-performance solutions.The ideal candidate is a proactive, self-motivated professional with a strong track record in building high-scale data services and a dedication to delivering exceptional results.

What You’ll Be Doing 

Software Development 

• Design and build APIs and backend services using Spring Boot to support data products and analytics workflows. 

• Write clean, maintainable, and efficient code, ensuring adherence to best practices through code reviews. 

Big Data Engineering 

• Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow. 

• Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance. 

• Develop and fine-tune complex queries and analytics solutions using Druid, Trino, and StarRocks for large-scale datasets. 

• Monitor, troubleshoot, and improve data systems to minimize downtime and maximize efficiency. 

Collaboration & Mentorship 

• Partner with data scientists, software engineers, and other teams to deliver integrated, high-quality solutions. 

• Provide technical guidance and mentorship to junior engineers, promoting best practices in software and data engineering. 

We’re Excited If You Have 

• Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience). 

• 8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark, Apache Airflow. 

• Expertise with atleast one of the following Apache Druid, StarRocks, and Trino. 

• Strong understanding of SOLID principles and distributed systems architecture. 

• Proven experience in distributed data processing, data warehousing, and real-time data pipelines. 

• Advanced SQL skills, with expertise in query optimization for large datasets. 

• Exceptional problem-solving abilities and the capacity to work independently or collaboratively. 

• Excellent verbal and written communication skills. 

• Experience with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes. (preferred) 

• Familiarity with additional big data technologies, including Hadoop and Kafka.  

• Experience in AdTech, in advertising data platforms and campaign measurement. (preferred)

• Strong programming skills in Python, Java, or Scala. (preferred) 

• Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code tools (e.g., Terraform). (preferred) 

• Expertise in data modeling, schema design, and data visualization tools.

• Experience with building Agentic AI systems to automate decision-making and enhance analytics workflows. (preferred) 

About the team

A highly scalable, highly available, real-time advertising platform is critical to support and grow Roku's rapidly expanding ad business. It is the mission of the Ad Engineering Team to build this platform. We are hiring a Senior Machine Learning Engineer, Advertising Platform, to be a vital part of this mission. If you bring extensive experience building complex systems using Machine Learning and Data Science, love great technology at scale, enjoy mentoring, jumping in, and figuring things out in any system, this role is for you!

The Ad Serving team, based in Bangalore, is responsible for ensuring that ads on the Roku platform are relevant and of good quality, leading to better outcomes for advertisers and providing a great experience for our viewers. Dealing with millions of ad requests in a day, we need to have best in class ML driven systems to improve the way we serve ads in multiple countries and languages.  

About the role

In this role, you will build and develop ML models to solve for content understanding aspects of Ads. These models rely on the visual, audio and textual content of ads, across multiple languages. This includes developing computer vision and machine learning models/methods such as deep learning models, generative AI solutions, large language models (LLMs) and vision language models (VLMs). You will work with software engineers and other ML engineers to identify, build, train and productionize these models to improve brand safety, increase revenue opportunities and help with moderation and generation of ad creatives in general.

What you will be doing

• Develop scalable and effective machine-learning models and optimization strategies to solve business problems related to Ads
• Run regular A/B experiments, gather data, and perform statistical analysis
• Work closely with software engineers and other ML engineers to deliver end-to-end solutions into production
• Improve the scalability, efficiency and automation of ML driven ad serving systems, model training, deployment and serving
• Partner with senior stakeholders to plan and drive the ML strategy for Ad Serving

We're excited if you have

• 6+ years of building models for business application experience
• Master's degree ( or higher) and 4+ years of CS, CE, ML or related field experience
• Strong CS fundamentals. Should be able to write an algorithm with ease.
• Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms
• Good understanding of data science and machine learning fundamentals like regression, classification, tree-based approach, neural networks, sequence-based, and NLP approaches like W2V or Bert
• Can brainstorm and identify the right KPIs and objective functions. 
• Knowledge of programming languages such as C/C++, Python, Java or Perl (preferred)
•  Have publications at top-tier peer-reviewed conferences or journals (preferred)
• AI growth mindset / AI Literacy

About the Role 

Join us in building Roku’s next-generation cloud-agnostic platform that powers Kubernetes and service mesh at scale. If you’re passionate about designing resilient infrastructure, automating deployments, and enabling hundreds of workloads across multiple regions, this role is for you. You’ll work with cutting-edge technologies like Kubernetes, Istio, Envoy, Terraform, modern observability stacks and collaborate with teams worldwide to deliver a unified hosting experience. 

If you’re passionate about deep platform and infrastructure engineering, solving complex scaling challenges, and enabling teams through elegant, automated solutions—this role is for you. 

About the Team 

Our Cloud Compute Platform Engineering team is at the heart of Roku’s transformation toward a single, unified platform. We design and scale Kubernetes clusters, service mesh architecture, and supporting systems to ensure all engineering teams speak the same infrastructure language. We partner with internal teams to migrate workloads, enhance CI/CD pipelines, and integrate observability and security into every layer of the stack. Collaboration and impact are core to what we do. 

What You’ll Be Doing 

• Architect, design, and deploy Roku’s next-generation cloud platform and service mesh. 
• Build and own solutions to Roku's compute problems using Docker, Kubernetes, Istio/Envoy, Terraform and scripting to evolve our tech stack and deployments. 
• Proactively drive the research and implementation of new technologies to enhance scalability, reliability, and developer experience. 
• Integrate security best practices into infrastructure design and automation. 
• Build tooling to visualize inefficiencies and optimize costs across shared-tenancy clusters, including network traffic insights, cross-cluster communication efficiency, and cost attribution. 
• Collaborate with internal teams to migrate workloads to Kubernetes + Istio, leveraging open-source observability tools. 
• Work closely with the Observability team to scale monitoring and logging solutions for a holistic view of the platform. 
• Leverage SRE principles to maintain high availability and streamline onboarding workflows. 
• Mentor team members and help define best practices for infrastructure and automation. 

We’re Excited If You Have 

• Strong hands-on experience with cloud technologies (AWS preferred; GCP or Azure is a plus), specifically in architecting and managing performant, large-scale systems handling significant traffic/data. 
• Deep knowledge of Kubernetes (EKS, GKE, AKS, or similar) and service mesh technologies. 
• Proficiency in Go or another programming language, Python or another scripting language. 
• Experience designing infrastructure and building automation tools, while collaborating with internal team members and external stakeholders. 
• Experience building CI/CD pipelines and following modern deployment practices. 
• Familiarity with observability tools (Prometheus, Thanos, Loki, Grafana, etc.). 
• Ability to work independently and communicate effectively with technical and non-technical stakeholders. 
• Passion for learning and solving complex infrastructure challenges. 
• Experience integrating AI tools to improve processes and reduce operational toil (a plus). 
• Master’s degree or equivalent experience (8+ years preferred). 

About the team 

The Observability team is part of Roku’s Cloud Technology Infrastructure organization and plays a critical role in our platform. We are a high-performing, fast-moving international team that thrives on ownership, effective communication, and delivering impactful engineering solutions. 

Our mission is to advance Roku’s observability platform, which operates at an impressive scale by ingesting terabytes of data daily and managing hundreds of millions of active series. As part of this mission, we focus on building scalable, performant systems to meet Roku’s unique needs. By leveraging open-source tools, CNCF-supported projects, and custom solutions, we enable engineering teams across Roku to monitor, debug, and optimize their applications with ease. 

What sets us apart is our results-driven culture rooted in ownership, accountability, and fast iteration. We prioritize solving meaningful engineering problems, fostering collaboration, and continually improving our team's work processes. 

About the role 

You will work on core observability systems (metrics, logs, traces) while also developing robust data pipelines and storage solutions optimized for high throughput, performance, and cost. You’ll leverage technologies such as time-series databases (TSDB), columnar storage formats (e.g., Parquet), and distributed data processing frameworks to advance the platform’s capabilities. Collaboration with cross-functional teams will be critical, as you’ll integrate observability into Roku’s cloud-native stack and contribute improvements back to the open-source community. 

• Extend and integrate open-source observability systems, and when necessary, structurally overhaul core components, such as storage layers and query paths, to enhance the performance, reliability, and usability of these tools at scale. 
• Build services to improve performance, usability, reliability, and cost efficiency. 
• Implement features like pre-aggregation, downsampling, and sampling to reduce load and accelerate queries. 
• Create developer-facing capabilities for metrics, logs, and traces usage, data quality, and cost management. 
• Automate onboarding, dashboards, alerting, and tracing. 
• Collaborate across platform and infrastructure teams to integrate observability into Roku’s cloud-native stack. 

We're excited if you have

• 8+ years in software engineering, building distributed, high-throughput systems or observability platforms. 
• 4+ years of Go/Golang experience; our observability ecosystem is built on Go, making it the most effective language for this role. 
• Experience with, or strong interest in, observability tools (Prometheus, Grafana, Loki, Tempo, ELK/OpenSearch, Clickhouse) and standards (OpenTelemetry, OpenTracing, OpenMetrics). 
• Deep understanding of distributed systems and data models 
• Hands-on experience with Kubernetes and cloud platforms (AWS, GCP, Azure). 

 #LI-AR2

Role Overview

We are seeking a Senior NetSuite Engineer to serve as a technical and functional owner of NetSuite, with deep expertise across Order-to-Cash (O2C), Record-to-Report (R2R), and core accounting processes. This role will partner closely with Finance, Accounting, Revenue Operations, Tax, and IT to design, build, and scale NetSuite solutions that enable accurate financial reporting, operational efficiency, and compliance.

The ideal candidate combines strong accounting domain knowledge with hands-on NetSuite configuration and development expertise, and has experience supporting complex revenue models, multi-entity environments, and close automation.

We are looking to speak to candidates who are based in Gurugram for our hybrid working model.

Key Responsibilities

NetSuite Ownership & Solution Design

• Act as a senior technical and functional lead for NetSuite, owning design decisions and best practices across O2C and R2R
• Translate business requirements into scalable NetSuite solutions using native configuration and custom development where required
• Lead NetSuite architecture decisions across subsidiaries, accounting books, and integrations

Order-to-Cash (O2C)

• Own NetSuite support and enhancements for
• Quotes → Sales Orders → Billing → Revenue Recognition → Cash Application
• Configure and optimize
• Billing schedules, invoice automation, and credit memo workflows
• Revenue Recognition including SSP, fair value pricing, and rev rec rules
• Multi-element arrangements, usage-based billing, subscriptions, and amendments
• Partner with Sales Ops and RevOps on
• Salesforce → NetSuite integrations
• Deal structure validation and downstream accounting impacts
• Reduce manual effort, billing errors, and revenue leakage through automation and controls.

Record-to-Report (R2R) & Accounting

• Own NetSuite processes supporting
• General Ledger, AP, AR, Fixed Assets, Intercompany, and Consolidations
• Design and enhance
• Month-end and quarter-end close workflows
• Journal entry automation and approvals
• Account reconciliations and variance analysis support
• Support multi-entity, multi-currency, and multi-book accounting environments
• Ensure alignment with GAAP/IFRS requirements, SOX controls, and audit readiness

Customization & Development

• Develop and maintain
• SuiteScript (1.0 / 2.x), SuiteFlow workflows, SuiteBuilder customizations
• Saved searches, dashboards, KPIs, and financial reports
• Build robust approval workflows, validations, and exception handling
• Optimize system performance and reduce technical debt

Integrations & Data Management

• Own and support integrations between NetSuite and
• Salesforce, billing platforms, payment processors, banks, tax engines, and data warehouses
• Partner with integration teams to ensure
• Data accuracy, idempotency, and error handling
• Lead data migrations, transformations, and historical data loads

Controls, Compliance & Audit

• Design and maintain SOX-compliant controls within NetSuite
• Support internal and external audits by
• Providing system documentation
• Explaining configurations and accounting logic
• Ensure strong role-based access controls and segregation of duties

Stakeholder Partnership & Leadership

• Serve as a trusted advisor to
• Accounting, FP&A, RevOps, Tax, and Finance leadership
• Lead NetSuite initiatives including
• New module rollouts
• Re-implementations or major upgrades
• Mentor junior NetSuite administrators and engineers
• Create and maintain system documentation and runbooks.

Required Qualifications 

• 7–10 years of experience with NetSuite ERP environments
• Strong hands-on experience supporting O2C and R2R processes
• Experience in SaaS, subscription, or usage-based revenue models strongly preferred
• Proven experience supporting month-end close and revenue accounting teams

Technical Skills

• Expert in: NetSuite GL, AR, AP, Revenue Management, and Billing
• SuiteScript (2.x preferred), SuiteFlow, and Saved Searches
• Strong experience with:
• Revenue Recognition (ASC 606)
• Multi-entity and intercompany accounting
• NetSuite integrations and data imports
• Concur, Coupa and other financial systems

• Working understanding of:
• GAAP accounting principles
• Revenue recognition and deferred revenue
• Financial close and reporting processes
• Ability to connect system design decisions to downstream accounting and reporting impacts

Soft Skills

• Excellent communication skills; able to bridge technical and accounting audiences
• Strong problem-solving mindset with attention to detail
• Comfortable operating in fast-paced, ambiguous environments
• Ability to lead initiatives independently and influence without authority

Preferred Qualifications

• NetSuite certifications (Administrator, ERP Consultant, SuiteCloud Developer)
• Experience with
• SOX-compliant environments
• Pre-IPO or public company finance systems
• Global tax engines (Avalara, Vertex)
• Prior experience leading a NetSuite re-implementation or major transformation

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. 

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.

About Mitsogo | Hexnode

Mitsogo is a global organization that highly values the contributions of each employee. Our ability to attract top talent is a testament to our commitment to fostering a sense of belonging for everyone. We recognize the rapid evolution of technology and society that impacts our industry, and we prioritize equipping our employees with diverse opportunities and empowering them with a wide range of skills. 

Hexnode, the Enterprise software division of Mitsogo Inc., was founded to simplify how people work. Operating in over 100 countries, Hexnode UEM empowers organizations in diverse sectors. Fueling the transformation to a seamless ecosystem of connected tools, Hexnode is revolutionizing the enterprise software and cybersecurity landscape. 

Job Overview:

As a Technical Support Engineer (2+ Years), you will play a crucial role in ensuring client satisfaction by providing timely and effective technical assistance.

Responsibilities:

• Handle incoming support calls, emails, and chat messages from clients experiencing technical issues.

• Diagnose and troubleshoot technical issues related to our product.

• Provide step-by-step guidance and solutions to clients, ensuring a positive customer experience.

• Escalate complex technical issues to the appropriate internal teams for resolution.

• Collaborate with cross-functional teams to ensure timely and effective problem resolution.

• Document and track support issues to maintain a comprehensive knowledge base.

• Stay up to date with the latest features and updates of our unified endpoint management product.

• Provide product training to clients and internal teams as needed.

• Communicate effectively with clients, keeping them informed of the status of their support requests.

• Ensure a high level of customer satisfaction through professional and courteous communication.

Requirements

• Bachelor’s degree in a relevant technical field or equivalent work experience.

• Proven experience in technical support or a similar customer-facing role.

• Excellent troubleshooting and problem-solving skills.

• Effective communication and interpersonal skills.

• Ability to work independently and collaboratively in a fast-paced environment.

• Prior experience in a SaaS environment and a strong understanding of UEM and related technologies is a plus.

Presales Implementation Engineer

About Hexnode

Hexnode, the enterprise software division of Mitsogo Inc., was founded with a singular vision: to revolutionize and simplify the complexities of modern work. With a robust presence in over 100 countries, Hexnode UEM (Unified Endpoint Management) empowers organizations across myriad sectors to achieve operational excellence. By seamlessly integrating disparate tools into a cohesive ecosystem, Hexnode is not merely participating in but actively spearheading the transformation of the enterprise software and cybersecurity landscapes.

Job Summary

We are seeking a highly adept and driven Presales Implementation Engineer with a profound understanding of the Cybersecurity domain. The ideal candidate will possess extensive hands-on expertise with Unified Endpoint Management (UEM), Mobile Device Management (MDM), Remote Monitoring and Management (RMM) platforms, or advanced Patch Management solutions. In this pivotal role, you will serve as a critical bridge between our cutting-edge security offerings and our valued clientele, meticulously deciphering their unique requirements, strategically contributing to the presales lifecycle, and ensuring the seamless deployment and optimal functionality of our comprehensive security solutions.

Key Responsibilities

• Strategic Solution Design: Collaborate intrinsically with sales and technical teams to meticulously analyse customer requirements, translating intricate business needs into robust, scalable, and technically sound security architectures.
• Expert Demonstrations & Proofs-of-Concept: Lead compelling product demonstrations, orchestrate intricate Proof-of-Concept (POC) deployments, and deliver impactful solution presentations to prospective and existing clients.
• Tailored Implementation: Architect and execute sophisticated security solutions, encompassing UEM, MDM, RMM, and Patch Management tools, meticulously customized to align with diverse customer needs and strategic business objectives.
• Advisory Leadership: Provide authoritative technical guidance and insightful consultative advice to clients throughout the entire presales engagement cycle.
• Proposal Development: Contribute significantly to the creation and refinement of bespoke proposals, comprehensive responses to Requests for Proposals (RFPs), and meticulous technical documentation.
• Deployment Excellence: Partner closely with both customers and cross-functional internal teams to guarantee the successful deployment, precise configuration, and flawless implementation of Hexnode's cybersecurity product suite.
• Technical Resolution: Proactively diagnose, troubleshoot, and expertly resolve complex technical challenges encountered during both the presales and post-sales phases.
• Industry Acumen: Maintain an unwavering commitment to continuous learning, staying abreast of the latest trends, emerging threats, and groundbreaking advancements within the cybersecurity domain, with a particular focus on MDM, RMM, and Patch Management.
• Client Empowerment: Empower clients by providing comprehensive support in the intricate management and robust security of their devices, networks, and endpoints.
• Customer Centricity: Uphold and elevate exceptional levels of customer satisfaction through the timely, efficient, and expert implementation of Hexnode's solutions.

Required Skills & Qualifications

• Experience: 4 – 8Yrs of progressive experience within the cybersecurity domain, with a demonstrated specialization in UEM (Unified Endpoint Management ) MDM (Mobile Device Management), RMM (Remote Monitoring and Management), or Patch Management tools.
• Security Framework Mastery: Profound understanding of contemporary security frameworks, intricate protocols, and best practices pertaining to device management, remote monitoring, and patch deployment.
• MDM Proficiency: Proven hands-on experience in the deployment, intricate configuration, and ongoing support of leading MDM solutions, including Microsoft Intune, Workspace One, or Ivanti.
• RMM & Patch Management Familiarity: Demonstrated familiarity with prominent RMM and Patch Management platforms such as Kaseya, ConnectWise, or NinjaRMM.
• Presales Engagement: Extensive hands-on experience in presales activities, encompassing impactful customer engagements, persuasive presentations, and dynamic product demonstrations.
• Exceptional Communication: Superior communication skills, with an innate ability to distil and articulate complex technical concepts with clarity and precision to both technical and non-technical audiences.
• Problem-Solving Acumen: Exceptional aptitude for managing customer expectations, rapidly identifying and solving intricate problems, and thriving under pressure in fast-paced environments.
• Foundational IT Knowledge: A solid foundational understanding of network security principles, robust endpoint protection strategies, and overarching IT infrastructure components.
• Education: Bachelor’s degree in computer science, Information Technology, or a closely related technical field (preferred). BE/B-Tech.

Desired Skills

• Industry Certifications: Possess industry-recognized cybersecurity certifications such as CompTIA Security+, Certified Information Systems Security Professional (CISSP), or other relevant credentials.
• Advanced Security Experience: Prior experience in advanced network security methodologies and comprehensive endpoint management strategies.
• Cloud Security Expertise: Knowledge of cutting-edge cloud security concepts, architectures, and associated technologies.

Introduction:

Are you searching for an opportunity to play a key role in driving the dramatic growth of a highly successful software company? 

At Poppulo, we’re working on what’s next in communications and workplace technology. As a pioneer in this industry, we understand that meaningfully reaching every employee is hard. And so is managing office space in a hybrid world. And so is improving the customer and guest experience. We exist to make each of these things easier. We exist to bring harmony to our customers. 

And we do that at enterprise scale. Our omnichannel employee communications, customer communications, and workplace experience platform is trusted by over 6,000 organizations today, reaching more than 35M employees and delivering content to 500,000+ digital signs.

We know there’s no such thing as a “perfect" candidate - we’re all a work in progress and are growing new skills and capabilities all the time. We encourage you to apply for a position with Poppulo even if you don’t meet 100% of the requirements. We believe in fostering an environment where there is a diversity of perspectives, in hopes that we can all thrive. 

Job Summary 

We are looking for a Principal Software Engineer to drive technical excellence and scalability across our SaaS Employee Communications platform.

In this role, you will act as a hands-on technical leader, designing and delivering complex features, improving system performance and reliability, and mentoring engineers across the team. This position bridges Senior Engineers and Software Architects, translating architectural vision into robust, maintainable implementations while influencing architectural evolution through strong technical judgment and execution.

The ideal candidate brings deep SaaS expertise, hands-on experience with AWS managed & serverless technologies and a solid understanding of distributed system design.

Key Responsibilities 

• Lead the design and development of complex, high-impact systems and services.
• Translate architectural blueprints into scalable, production-grade solutions.
• Design and implement microservices and APIs with a strong focus on scalability, observability, and reliability.
• Own major features or components end-to-end, including performance optimization, resilience, and cost efficiency.
• Mentor senior and mid-level engineers, conduct code reviews, and uphold best practices in coding, design, testing, and CI/CD.
• Collaborate closely with Architects, Product Managers, and DevOps to ensure architectural alignment and high-quality delivery.
• Build and optimize services using AWS serverless, event-driven, and container-based technologies (Lambda, ECS, SNS, SQS, DynamoDB, EventBridge, RDS).
• Ensure systems adhere to authentication, authorization, and compliance standards (OAuth2, OIDC, RBAC).
• Identify opportunities to improve system performance, scalability, and developer productivity.
• Advocate for continuous learning, experimentation, and innovation within the engineering organization.
• Maintain accountability for coding standards, engineering processes, and technical excellence.
• Use metrics and analytics to anticipate future engineering and scalability needs.
• Ensure compliance with data protection and privacy requirements, including GDPR, HIPAA, and PII best practices.
• Proactively identify and address technical debt and long-term improvement opportunities.

 Education & Experience 

• 8+ years of software development experience with demonstrated technical leadership in complex, distributed systems.
• Demonstrated strong hands-on experience in Java, with expertise in Spring Boot, concurrency, multi-threading, and RESTful service development.
• Proven experience with modern front-end frameworks such as React or Angular is mandatory for this full-stack role.
  
• Exposure to Node.js and TypeScript, including asynchronous programming and modular architecture is nice to have.
• Proven understanding of distributed systems, multi-tenancy, RBAC, and SaaS security principles.
• Hands-on experience with microservices architecture, Docker, Kubernetes, and AWS.
• Experience with observability best practices, including metrics, logging, tracing, and alerting.
• Strong knowledge of event-driven systems (Kafka, SNS/SQS, EventBridge, Kinesis).
• Experience with GraphQL federation and implementation.
• Experience with CI/CD pipelines, Git-based workflows, and automated testing (JUnit, Jest, Playwright, etc.).
• Proven ability to design scalable, high-performance, fault-tolerant systems in multi-tenant SaaS environments.
• Familiarity with GDPR and data privacy standards is a plus.
• Experience with infrastructure-as-code tools (Terraform, CDK) and modern observability stacks.
• Excellent communication skills and the ability to collaborate effectively with both technical and non-technical stakeholders.
• Passion for continuous learning and a strong commitment to engineering excellence.
• Comfortable leading by example and driving best practices across teams.

Who We Are

• We are a values-driven organization that encourages our employees to bring their authentic selves to work every day and empowers everyone to make a tangible impact on our products, clients, and culture. We offer a dynamic environment with driven, fun, and flexible individuals who thrive on challenge and responsibility. This is an opportunity to contribute to our culture and join a company that’s on the move.
• We live the Poppulo values each day, as they are key to everything we do.

Bring Your Best Self
We show up authentically, are self-aware and always strive to be better.

• See it. Own it. Solve it.
  We proactively innovate and solve for our customers and each other. We set an example with high standards for our work. We foster a culture of learning, acknowledging our successes and our failures.
• Together We’re Better
  We value and celebrate our diversity. We learn from others, respecting their expertise, and focus on building trust. That's what makes us a team.
• Named a Great Place to Work in 2015, 2016, 2017, 2018, 2019, 2020, and 2021, we are a fast-growing global technology company, with offices in Ireland, the US, and the UK.
• Poppulo is an equal opportunity employer.
• Named a Great Place to Work in 2015, 2016, 2017, 2018, 2019, 2020, and 2021, we are a fast-growing global technology company, with offices in Ireland, the US, and the UK.
  Poppulo is an equal opportunity employer.

We are committed to protecting your privacy. For details on how we collect, use, and protect your personal information, please refer to our Job Applicant Privacy Policy. 

Platform Manager QE – SaaS Platform 

Location: Coimbatore / Bangalore
Experience: 10 to 14 Years

Who we are and What we do?

AppViewX is trusted by the world’s leading global organizations to reduce risk, ensure compliance, and increase visibility through machine identity management and application infrastructure security and orchestration. At AppViewX, you will get to work with our bleeding edge Automation Platform that facilitates digital transformation through streamlined workflows to prevent outages, reduce security incidents and protect both an enterprise’s reputation and bottom line. AppViewX has also been certified as a Great Place to Work in India, cementing us as an employer of choice.

Glimpse of our Team

The core of AppViewX quality lies in building predictable releases through strong engineering discipline, automation-first practices, and measurable quality outcomes. Our Platform Quality Engineering team partners closely with Platform Engineering, SRE, and Product Engineering to ensure platform reliability, scalability, and resilience under real-world workloads.

As a Platform Manager QE, you will focus on validating how the platform behaves at scale, ensuring multi-tenant SaaS stability, upgrade safety, and non-functional excellence as the platform evolves.

What will you be responsible for?

• Own end-to-end platform quality outcomes, ensuring reliability, scalability, and stability across SaaS and customer-hosted deployments
• Define and execute a platform quality strategy aligned to SaaS scale, multi-tenancy, and infrastructure evolution
• Drive non-functional quality leadership, including:
  • Performance (P95/P99 latency, throughput)
  • Scalability (load, stress, capacity limits)
  • Reliability (failover, recovery, resilience)
  • Chaos testing (node, network, dependency failures)
• Validate platform behavior across:
  • Kubernetes-based deployments
  • Service mesh (Istio) and API gateway
  • Core platform services (auth, async jobs, notifications, logging)
• Ensure tenant isolation and noisy-neighbor impact validation in multi-tenant SaaS environments
• Own platform upgrade and deployment quality, including:
  • Backward compatibility
  • Data migration integrity
  • Configuration drift across environments
• Establish and govern continuous testing and QAOps practices for platform validation, including:
  • Production-like environments
  • CI/CD quality gates
  • Observability-driven validation (logs, metrics, traces)
• Drive platform-level automation strategy across API, performance, and resilience testing
• Provide platform readiness inputs to release certification, ensuring production-safe releases
• Analyze production incidents, performance degradations, and instability patterns, and drive preventive quality improvements
• Track and publish platform quality metrics (latency, stability, failure rates, incident trends) to guide engineering and leadership decisions
• Partner with Platform Engineering, SRE, and Product teams to identify and resolve systemic platform issues without impacting delivery velocity
• Lead, mentor, and grow a team of QE engineers focused on distributed systems, performance engineering, and reliability validation
• Influence architecture and design decisions to improve testability, scalability, and resilience outcomes
• Drive AI-assisted QE initiatives for performance analysis, anomaly detection, and intelligent regression optimization

What do we require? (Must Have)

• 10–14 years of experience in Quality Engineering with strong exposure to SaaS platforms and distributed systems
• Proven experience in non-functional testing:
  performance, scalability, reliability, chaos engineering
• Strong expertise in API and service-level automation (Python-based frameworks preferred)
• Hands-on experience with performance testing tools (JMeter, k6, Gatling, or similar)
• Experience with Kubernetes, containerized environments, and service mesh (Istio)
• Strong understanding of multi-tenant SaaS architectures and platform behavior under load
• Experience integrating quality practices into CI/CD pipelines and QA Ops workflows
• Strong debugging and root-cause analysis skills for production-scale issues
• Experience working with observability tools (Prometheus, Grafana, ELK, tracing systems)
• Strong Linux systems knowledge and environment troubleshooting skills
• Understanding of networking, security, and infrastructure concepts (TLS, DNS, load balancing)
• Strong stakeholder communication and ability to translate platform quality risks into business impact

What do we desire?

• Experience in cloud platforms (AWS / Azure / GCP) and hyperscaler environments
• Exposure to chaos engineering frameworks and reliability validation tools
• Experience with contract testing and service-level validation strategies
• Familiarity with AI-driven test optimization, anomaly detection, or quality intelligence
• Strong understanding of high-availability systems and distributed system failure modes

What You Bring as a Platform QE Manager at AppViewX

• You think in systems, scale, and failure modes, not just test cases
• You ensure platform reliability under real workloads, not just functional correctness
• You drive non-functional quality as a release gate, not a post-release activity
• You build predictable platform behavior through automation, observability, and continuous validation
• You translate technical platform risks into customer and business impact
• You mentor teams to move from test execution to engineering-driven quality ownership
• You operate with strong ownership, data-driven decisions, and disciplined escalation

What brings us together?

What makes us stand out from the rest is the people. The people who push hard every day to be smarter, passionate, resilient, creative, inclusive and curious. Surrounding ourselves with a bunch of diverse and talented minds has made us what we are, and we can't wait to see the positive impact it would have on you too!

What’s more in store?

AppViewX offers competitive benefits including incentives, health & wellness policies, investment schemes, flexible work models, and strong learning & development opportunities. We empower our employees with flexibility, ownership, and trust to drive impact.

Why AppViewX?

AppViewX serves Fortune 1000 enterprises globally, including leading banks, media companies, and healthcare providers. With a strong global presence and deep customer trust, we continue to scale our platform and engineering capabilities to solve critical enterprise challenges.

Equal Opportunity Statement

AppViewX is an Equal Employment Opportunity Employer committed to diversity, inclusion, and fair employment practices.

Senior Software Engineer
Location: Coimbatore/Bangalore
Experience: 5+ years

Who we are and What we do?

AppViewX is trusted by the world’s leading organizations to reduce risk, ensure compliance, and increase visibility through automated certificate lifecycle management. At AppViewX, you will get to work with our AVX ONE platform that provides complete certificate lifecycle management and PKI-as-a-Service using streamlined automation workflows to prevent outages, reduce security incidents and enable crypto-agility. AppViewX is also certified as a Great Place to Work in India, cementing us as an employer of choice.

What will you be responsible for?

 Role in developing information systems by studying operations, designing, developing, and installing software solutions, while also supporting and collaborating with the software team.

• Participate in a full software development life cycle. If you are game for it, own an entire module.
• Learn to build highly scalable, low-latency, high-throughput systems that have five 9 availability.
• Work closely with customer advocacy boards, cross-functional teams and engineers to develop the best technical design and approach for new product development/features.
• Handle multiple priorities in a fast-paced environment.
• Innovate & experience working with highly skilled teams in multiple locations with loads of fun.

What do we require?

• Experience in Java skill with excellent data structures, algorithms skills, design pattern & OOPS concept.
• Experience in .Net Skills, Microsoft CSP (C++) and a PKCS#11 library (C) to enable secure and compliant code-signing workflows.
• Experience with client/server, multi-threaded and distributed software.
• Proven design sensibility and the willingness to work in a collective, team-oriented environment.
• Knowledge of Kubernetes and Containers.
• Excellent written and verbal communication skills with the ability to present complex plans and designs.
• Strong reasoning and problem-solving skills under your wing.
• Good presentation, communication and people skills.
• Quick learner, creative, resourceful, and being able to work on your own.

What do we desire?

• Knowledge of database design and database programming using SQL & NO-SQL concepts.
• Familiar and hands-on experience with Managed Kubernetes environments like EKS, AKS, GKE.
• Familiarity on the development and maintenance of a Windows Gateway solution built using C# and .NET Framework to manage CLM and device operations

What brings us together?

What makes us stand out from the rest is the people. The people who push hard every day to be more smart, passionate, resilient, creative, inclusive and curious. Surrounding ourselves with a bunch of diverse and talented minds has made us what we are, and we can’t wait to see the positive impact it would have on you too!

What’s more in store?

 AppViewX is on par with leading global companies when it comes to the benefits it offers its employees, ranging from competitive incentives, health & wellness policies, saving & investment schemes, time off/sabbatical eligibility and dedicated L&D.

What we consider equally important is the flexibility we offer our employees to – work remotely, define their own hours, and more importantly harmonize both work and life. The more trust and accountability we place on our employees, the more they surpass our goals and expectations.

 Why AppViewX?

 AppViewX caters to a wide range of customers from Fortune 1000 companies, including six of the top ten global commercial banks, five of the top ten global media companies, and five of the top ten managed healthcare providers. Over the years, we grew our diverse team, perfected our automation platform, and expanded our Global footprint to India, North America, United Kingdom and Australia. Today, we are headquartered in New York City and have come a long way by optimizing opportunities to create lasting relationships with enterprises, gaining unshakable customer trust along the way.

AppViewX is proud to be an Equal Employment Opportunity Employer. It is AppViewX’s policy to afford equal employment opportunities to all employees regardless of race, color, national origin, ancestry, religion, citizenship status, , gender, gender expression or identity, sexual orientation, age, marital status, military or veteran status, pregnancy, disability, genetic information, arrest record, or other protected class under state, federal, or local law.

Performance Engineer

Location: Coimbatore/Bangalore

Experience: 3+ years

Who we are and What we do?

AppViewX is trusted by the world’s leading global organizations to reduce risk, ensure compliance, and increase visibility through machine identity management and application infrastructure security and orchestration. At AppViewX, you will get to work with our bleeding edge Automation Platform that facilitates digital transformation through streamlined workflows to prevent outages, reduce security incidents and protect both an enterprise’s reputation and bottom line. AppViewX has also been certified as a Great Place to Work in India, cementing us as an employer of choice.

Glimpse of our Team

The core of AppViewX lies within its robust, flexible low code platform which is being built by the architecture team. The team designs ready to consume solutions that efficiently orchestrate and meet the scalable demands of our ever-growing customers. If you are someone who would like to develop solutions using cutting-edge technologies like Kubernetes, Containers and Service Mesh and design this low code platform then this is the right place for you!!

What will you be responsible for?

This role is to measure, analyze and optimize performance of AppViewX products. 5+ years of experience as a performance test engineer. Technically strong to do a deep-dive analysis into problem areas and contribute to redesigns that

are faster, cleaner, and require less maintenance

What do we require?

• Have expertise in Load Testing, Stress, Endurance, availability, capacity and resilience testing
• Expertise in Jmeter/Loadrunner scripting and preparing performance test reports
• Experience with kubernetes and micro services, log analysis
• Experience in Performance testing of SaaS applications in AWS with EKS
• Strong experience with commercial and open source code profiling tools (JProfiler, JVisualVM, JMC, etc.)
• Thread / Heap Dump Analysis
• Mongo DB monitoring, profiling and query tuning by looking into query execution plans.
• Good at Linux commands, OS monitoring commands and shell scripting
• Live monitoring tool expertise is preferred (Grafana, Influx DB, telegraf)
• Understands system scalability concepts and develops methodologies to validate system capabilities
• Experience in application architecture and design techniques and familiarity with data modeling

What do we desire?

• Good experience on working with auto scalable applications. Should be able to analyze and propose right metrics to auto scale components in kubernetes
• UI profiling with fiddler and developer tools
• Experience working in an Agile development environment
• Hands on programming experience in Java or other common programming language

What brings us together?

What makes us stand out from the rest is the people. The people who push hard every day to be more smart, passionate, resilient, creative, inclusive and curious. Surrounding ourselves with a bunch of diverse and talented minds has made us what we are, and we can’t wait to see the positive impact it would have on you too!

What’s more in store?

AppViewX is on par with leading global companies when it comes to the benefits it offers its employees, ranging from competitive incentives, health & wellness policies, saving & investment schemes, time off/sabbatical eligibility and dedicated L&D.

What we consider equally important is the flexibility we offer our employees to – work remotely, define their own hours, and more importantly harmonize both work and life. The more trust and accountability we place on our employees, the more they surpass our goals and expectations.

Why AppViewX?

AppViewX caters to a wide range of customers from Fortune 1000 companies, including six of the top ten global commercial banks, five of the top ten global media companies, and five of the top ten managed healthcare providers. Over the years, we grew our diverse team, perfected our automation platform, and expanded our Global footprint to India, North America, United Kingdom and Australia. Today, we are headquartered in New York City and have come a long way by optimizing opportunities to create lasting relationships with enterprises, gaining unshakable customer trust along the way.

AppViewX is proud to be an Equal Employment Opportunity Employer. It is AppViewX’s policy to afford equal employment opportunities to all employees regardless of race, color, national origin, ancestry, religion, citizenship status, , gender, gender expression or identity, sexual orientation, age, marital status, military or veteran status, pregnancy, disability, genetic information, arrest record, or other protected class under state, federal, or local law.

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team 

Our  Reporting, Accounting, and Data Services org gives businesses power over the entire life cycle of their cash flow. By coordinating billing, tax, reporting, and data services in one modern stack, Stripe’s revenue and finance automation suite eliminates the inefficiencies of legacy finance tools and supports revenue growth.

While the internet has been a boon to productivity, the gains have been uneven. Common financial processes like billing, tax, and quarterly reporting are still painfully inefficient and manual. They’re also typically spread across a dozen or more software tools. The result: one-third of finance leaders reopen their books at least once a quarter because of accounting errors, and half spend 10 hours a month manually correcting discrepancies.

Stripe’s RADS suite relieves those burdens by equipping finance leaders with revenue management tools that are as sophisticated as the businesses they run. The suite automates manual work and improves accuracy across the cash flow life cycle, from payments and billing to tax, reporting, and reconciliation.

Our portfolio is growing rapidly and we are expanding our RFA suite to serve the diverse spectrum of Stripe’s users, from brand new startups to public companies. Simultaneously we are investing in foundations for an extensible platform solution, including integrations with external systems that will let us scale our reach and capabilities by orders of magnitude over the next few years.

What you’ll do

We are seeking an experienced technical leader to join our team to shape and build a suite of products that will let our users model and operate their business more efficiently. In this role, you will work closely with engineering managers, senior engineers, and cross-functional partners to design the technical architecture of the product to enable scale, interoperability and an amazing user experience. You will help grow the team in India to become a strong leader in delivering the Revenue and Finance Automation vision. You will also have the opportunity to be hands-on in building key systems, while mentoring and leading other engineers. Join us in spearheading a transformational opportunity for Stripe.

Responsibilities

• Manage the technical leadership, execution, and roadmap for Revenue and Finance automation suite. 
• Lead by example by designing and implementing critical platforms that enable seamless interoperability across the RFA suite of products.
• Partner closely with engineering, product, and design leadership to define our product strategy and user experience.
• Establish best practices, frameworks, and repeatable processes that enable the team to execute effectively.
• Foster a culture of learning and data-driven decision making on the team and the broader organization.
• Mentor and support the growth of engineers at different levels in their careers.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• At least 15 years of engineering experience or equivalent combined work experience demonstrating relevant domain expertise.
• Proven experience leading company-wide initiatives or influencing tech roadmap planning and execution.
• You have great product taste and a track record of taking complex problems and solving them elegantly.
• You enjoy diving into and deeply understanding the businesses that use Stripe.
• You work very well cross-functionally, and are able to think rigorously and make hard decisions and tradeoffs.
• You are capable of working in ambiguous fast-moving environments and have a curiosity to learn the domain to a deep level.
• You thrive on a high level of autonomy and responsibility.
• Strong collaboration skills to work effectively across multiple teams and stakeholders.
• Past experience mentoring and investing in the development of engineers.
• Pride in successfully completing projects involving a diverse range of technologies and systems.

Preferred qualifications

• Familiarity with large scale distributed systems.
• Experience working in high-growth teams similar to Stripe.
• If you meet the minimum requirements, we encourage you to apply. Preferred qualifications are beneficial but not mandatory.

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the Organization

The Data Foundations team drives Data Engineering and Data Apps & Tooling work across Stripe, enabling Stripes to leverage data to make informed decisions and build user-centric products. We provide tools and infrastructure to move, store, process, and analyze data, both at rest and in motion. 

• Revenue and Finance Automation- Revenue and Finance Automation (RFA) suite gives businesses power over the entire life cycle of their cash flow. By coordinating billing, tax, reporting, and data services in one modern stack, Stripe’s revenue and finance automation suite eliminates the inefficiencies of legacy finance tools and supports revenue growth.
• Data Engineering Solutions-  We are experts in data, working to make it cost-effective, understandable, and trustworthy. We build pipelines processing billions of events a day and are stewards of canonical data warehouses and datasets delivering products for Stripe Users while embedding with teams to build their data products.  We are experts in using the Stripe Data Platform and to scale we lead the data culture and data education to enable product teams to own their data. We invest in [AI] Data Ops to scale incident handling and serve as an escalation path for data incidents to minimize their impact. The Data Engineering Solutions team will work closely with product teams delivering trustworthy data / backend code / and innovative (AI) tools/platforms/services for data..  

What you’ll do

As a Software Engineer, you will design and build platforms, and system solutions that are configurable and scalable around the globe. You will partner with many functions at Stripe, with the opportunity to both work on financial platform systems, as well as direct user-facing business impact.

Responsibilities

• Design, build, and maintain APIs, services, and systems across Stripe’s engineering teams.
• Work with engineers across the company to build new features at large-scale.
• Maintain a collaborative environment, engaging in discussions and decision-making processes with stakeholders within various domains at Stripe.

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 4+ years of experience in delivering, extending, and maintaining large scale distributed systems.
• Love to design systems that are elegant abstractions over complex patterns/practices, especially in the financial industry.
• Hold yourself and others to a high bar when working with production systems.
• Take pride in working on projects to successful completion involving a wide variety of technologies and systems.
• Think about systems, services, and platforms, and write high quality code. 
• You have great product taste and a track record of taking complex problems and solving them elegantly.
• You are capable of working in ambiguous fast-moving environments and have a curiosity to learn the domain to a deep level.
• Enjoy working with a diverse group of people with different expertise.

Preferred qualifications

• Familiarity with large scale distributed systems.
• Experience working in high-growth teams similar to Stripe.
• If you meet the minimum requirements, we encourage you to apply. Preferred qualifications are beneficial but not mandatory.

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Fee Insights builds fee explainability experiences that help merchants and internal teams understand what they're paying and why. We tackle this through agentic systems that provide natural language explanations grounded in canonical fee data, self-serve tooling, and also experiences that help users reconcile and understand complex pricing at scale.

Fee transparency and explainability are critical to merchant trust and satisfaction. As Stripe's product portfolio and pricing complexity has grown, helping users understand their fees—and how they align with their contract and product usage—has become increasingly important. We're solving fundamental questions around fee transparency, building the foundations that will scale across Stripe's merchant base.

What you’ll do

As a Software Engineer on Fee Insights, you'll work on crafting billing-related experiences for both internal teams and external merchants. You'll partner closely with product teams to build reporting, dashboards, insights, and guided user journeys that help users interact with pricing and understand fees. You’ll be navigating one of Stripe's most complex domains, gaining deep end-to-end understanding of how Stripe works—from payments to pricing to billing.

Responsibilities

• Building and iterating on fee explainability experiences that empower users to find answers independently
• Developing agentic systems with strong accuracy guarantees—building evaluation frameworks and ensuring reliability at scale
• Creating performant data aggregations and optimizations to handle complex pricing scenarios
• Working across the stack: backend services, frontend experiences, data pipelines, and AI agents
• Collaborating with stakeholders across engineering, product, operations, finance, accounting, and sales
• Independently identifying solutions to user pain points and executing against roadmaps
• Mentoring junior engineers and raising the technical bar for the team

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 5+ years of professional experience in a software development role
• Strong coding skills in any programming language
• Ability to drive and lead large-scale initiatives that solve critical business challenges
• Strong collaboration skills across teams and workstreams
• Track record of developing and delivering high-quality software using industry best practices
• Ability to make effective tradeoffs that balance business priorities, user experience, and technical sustainability

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the Organization 

Our mission is to enable effective financial decisions through reliable data, increased efficiency and automation. We support Marketing, Sales, Seller, Accounting, Tax, Finance & Strategy (F&S), Finance Operations (FinOps) and Treasury functions across Automation, Data insights and process improvements.

You may work on a wide variety of critical business areas including: 

Seller Systems: Responsible for building the systems and tooling that make Stripe’s sellers and internal revenue teams dramatically more productive and effective. We partner with Sales, Finance, Legal, and Product to deliver a single “plane of glass” selling experience that spans deal creation and modeling, negotiation and approvals, contracting, onboarding, and activation. The Seller Systems team composes first‑party, custom Stripe components with best‑in‑class third‑party business systems to deliver configurable, auditable, and globally scalable workflows. Engineers on Seller Systems build services, APIs, integrations, data pipelines, and internal UIs that power seller productivity, reduce time‑to‑activation, improve deal velocity, and enable AI‑driven assistive workflows. Use cases include deal modeling and pricing engines, approval and orchestration platforms, CLM/CPQ integrations, onboarding automation, seller analytics, and AI‑assisted seller tooling.

Finance Engineering: Responsible for building the robust and scalable infrastructure that powers the company's core financial operations, including payments processing, fund settlement, accounting, and business intelligence. The Finance Engineering team is at the core of Stripe to empower mission-critical financial domains including Accounting, Finance operations, Finance & Strategy, and Treasury. Engineers on the Financial Engineering team build platforms, data pipelines, and financial products for the Finance team. The use cases include financial analytics and insights, accounting automation, auditing, financial planning & forecasting, and financial business intelligence. 

Marketing/Sales Systems: Responsible for building the most measurable, cross-channel messaging capability possible, to attract and engage customers. We will do this through scalable motions, with the most relevant messaging and increasing reach of our marketing motions. We are a cross functional team of engineers, analysts, marketers, and product managers that deliver the insights, internal systems and tools that fuel Stripe’s growth. 

As part of the Marketing Systems team, you will own systems that power go-to-market motions productizing gathered insights and intelligence. This includes building tools that 1/ power better digital experiences, 2/ accelerate customer journey with intelligent orchestrations 3/ drive smarter decisions with CDP 4/ improve marketer and seller productivity.

What you’ll do

We’re looking for Software Engineers who want to make an impact on managing money at a global scale with a passion for building ergonomic APIs. You’ll play a key role in extending our balance management platform and in building out a new funds accessibility platform leveraged by enterprises and SMBs alike. Our team collaborates with many cross-functional teams – from Infrastructure to Product –  at Stripe to deliver innovative solutions that address evolving user needs.

Responsibilities

• Design, build, and maintain beautiful, robust, and high-performance APIs and services
• Ensure our infrastructure is extensible, scalable, reliable, and meets SLAs for both external and internal users
• Hide complexity from our users behind simple yet powerful abstractions
• Partner closely with other engineers, analysts and scientists to build highly scalable system(s), to deliver delightful developer experiences and comprehensive interfaces
• Build the APIs that power internal stakeholder facing UI experiences, defining composable data models and durable interfaces.
• Debug production issues across services and multiple levels of the stack with an eye towards improving maintainability over the long term.
• Improve engineering standards, tooling, and processes.

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 7-12 years of experience designing, implementing, and operating large-scale, high-performance APIs and services 
• You have implemented server-side APIs in dynamic languages like Ruby, working with document and relational datastores (especially Mongo and MySQL).
• You enjoy spelunking through new datasets (especially in systems like Redshift or Presto/Trino).
• Empathetic, collaborative, and user-first mindset in everything you build
• Experience proactively seeking feedback from users, teammates, and subject matter experts
• The skills to build holistically – from specs and documentation to implementation, testing, deployment, and measuring impact
• The ability to balance speed, complexity, and scope in service of user needs
• You have excellent oral and written communication.

Preferred Qualifications

• Experience with large-scale financial tracking systems
• Good understanding and practical knowledge in cloud based services (e.g. gRPC, GraphQL, Docker/Kubernetes, cloud services such as AWS, etc.) 
• Experience in marketing domain building products that contribute to marketing tech stack.
• Experience with machine learning, recommender systems, product-led growth, and/or lifecycle marketing.
• Prior experience building distributed systems or a microservices architecture

About the Team

The Integrations Team is responsible for enabling seamless connectivity between Postman and the broader developer ecosystem — from version control and CI/CD tools to messaging platforms, monitoring systems, gateways, and more. You’ll help build robust integration layers, APIs, and tooling that allow users and organization to plug Postman into their end-to-end workflows with minimal friction.

What You'll Do

• Implement and maintain features, improve performance and quality of Postman’s products.
• Interact with Product, Design and Engineering teams to spec, build, test and deliver new features.
• Improve quality and reliability by improving existing tests and writing new ones.
• Work on the scalability aspects of features and services that the team owns.
• Work with the manager for the roadmap and SLAs for the micro-services that you own.
• Perform code reviews and advocate better practices for software engineering by mentoring and encouraging others around you to build a quality product.
• Design & build any additional internal tooling required to ease the development & maintenance of the product.

About You

• You have at least 3 years of experience developing complex, distributed software applications at scale.
• You’ve experience with high level programming languages - e.g. Node.js, Python, Ruby, Go. We code primarily in Node.js.
• Strong understanding of web fundamentals.
• Strong knowledge of Database fundamentals especially on the performance aspects such as optimising queries, schema design, indexing, caching.
• Experience with cloud computing and distributed systems
• You possess strong Computer Science fundamentals - Algorithms, Networking and Operating Systems, and are familiar with various JavaScript tools, frameworks, and development practices.
• Has a point of view and is comfortable and prior experience in collaborating and respectfully challenging other stakeholders, such as PM, EM etc.
• You write testable, maintainable code that’s easy to understand.
• You have curiosity about how things work and to learn new things.
• Good written and verbal communication.

Nice to Have

• Previous experience with systems with scale and familiarity with problems related to scalability and performance
• A learning mindset and the willingness to do beyond what’s being told.
• An innate curiosity about how things work under the hood.
• Alignment with our Values.

About The Role 

We are looking for a highly skilled Cloud Platform Developer to join a fast-paced and rapidly growing engineering team. The ideal candidate has a strong background in building and operating high-scale distributed systems and thrives in environments where ownership, technical excellence, and collaboration are essential.

Key Responsibilities

• Design, build, and maintain large-scale distributed systems that are reliable, performant, and scalable
• Contribute across the full software development lifecycle, from architecture and design to deployment, monitoring, and operations
• Collaborate closely with cross-functional engineering teams to deliver high- quality features and system improvements
• Debug complex production issues with strong analytical and problem-solving skills
• Drive technical initiatives, set best practices, and contribute to continuous improvement of system reliability and performance
• Provide technical leadership on new projects and infrastructure enhancements

Basic Qualifications

• 8+ years of software development experience in a fast-paced, high-growth environment
• Demonstrated experience building large-scale, distributed systems
• Proficiency in Go microservices and Kubernetes / SaaS platforms
• Experience operating distributed systems in production, with a strong sense of ownership and accountability
• Excellent communication skills and the ability to collaborate effectively across teams 

Preferred Qualifications

• Proficiency in Secure Software Development practices

Responsibilities:

• • Manage a group of highly skilled senior engineers by providing technical management, guidance, coaching, best practices and principles
  • Active participation in the design, development, delivery, and maintenance of software projects
  • Responsible for resource planning, execution, and quality of the software delivered by the group
  • Lead the group to build sophisticated products using cutting-edge technology stack. The products will be used by retail customers and internal business users.
  • Work closely with various business stakeholders like Product Management Team, and other Engineering teams to drive the execution of multiple business strategies and technologies
  • Act as a point of contact for TCO (total cost of ownership), managing and driving production defects & stability improvements to resolution
  • Ensuring operational efficiency and actively participating in organizational initiatives with the objective of ensuring the highest customer value
  • Tailor processes to help manage time-sensitive issues and bring them to appropriate closure

Skills required:

• • A bachelor's degree in Computer Science with 7-9  years of experience
  • Minimum 3+ years of experience in Java programming and any of the Java frameworks such as Spring or Spring boot
  • Must have done Performance Appraisal, Hiring and building teams from ground up
  • Experience of working in highly dynamic Engineering environment like a start-up
  • Deep understanding of Object-Oriented programming languages
  • Strong technology acumen, knowledge of software engineering process, design knowledge and architecture intelligence
  • Exposure to any of the prominent cloud service providers (AWS/Azure/GCP)
  • Exceptional verbal and written communications skills
  • Attention to detail and quality, and the ability to work well in and across teams
  • Ability to advocate & influence multiple stakeholders
  • Experience and knowledge of delivering products with low/no-touch support along with SRE principles

Responsibilities:

• Manage a group of highly skilled senior engineers by providing technical management, guidance, coaching, best practices and principles
• Active participation in the design, development, delivery, and maintenance of software projects
• Responsible for resource planning, execution, and quality of the software delivered by the group
• Lead the group to build sophisticated products using a cutting-edge technology stack. The products will be used by retail customers and internal business users.
• Work closely with various business stakeholders, like the Product Management Team, and other Engineering teams to drive the execution of multiple business strategies and technologies
• Act as a point of contact for TCO (total cost of ownership), managing and driving production defects & stability improvements to resolution
• Ensuring operational efficiency and actively participating in organisational initiatives with the objective of ensuring the highest customer value
• Tailor processes to help manage time-sensitive issues and bring them to an appropriate closure

Skills required:

• A bachelor's degree in Computer Science with 8-10  years of experience
• Minimum 3+ years of experience in Java programming and any of the Java frameworks, such as Spring or Spring Boot
• Must have done Performance Appraisal, Hiring and building teams from the ground up
• Experience of working in a highly dynamic Engineering environment like a start-up
• Deep understanding of Object-Oriented programming languages
• Strong technology acumen, knowledge of software engineering process, design knowledge and architecture intelligence
• Exposure to any of the prominent cloud service providers (AWS/Azure/GCP)
• Exceptional verbal and written communication skills
• Attention to detail and quality, and the ability to work well in and across teams
• Ability to advocate & influence multiple stakeholders
• Experience and knowledge of delivering products with low/no-touch support, along with SRE principles

About the role

Hiring is one of the most consequential decisions a company makes. 3,000+ enterprises rely on HackerRank to get it right. We are now reinventing how that works for the agentic era. The ML systems that power this platform are not auxiliary features. They are the product.

Open Problems

The agentic era is reshaping every layer of the hiring stack. These are some of the core problems you'll be working across, none of them fully solved.

• Chakra: Building an autonomous AI interviewer that conducts, adapts to, and evaluates technical interviews end to end.
• Integrity: Detecting fraud and suspicious behavior across multiple signal types. The ways candidates game assessments change frequently, and the models need to keep up.
• Evaluation: Measuring technical skill in a world where AI writes the code. The old proxies no longer hold and the new ones have not been defined yet.

Your focus will shift across these depending on where the highest-leverage work is at any given time.

What you will do

• Design and ship production ML systems across Chakra, integrity, and evaluation domains.
• Own the full ML lifecycle: problem framing, data strategy, experimentation, deployment, and iteration.
• Build evaluation infrastructure and benchmarking pipelines that reliably measure model quality before and after deployment.
• Define the architecture and production bar for different signal categories from scratch. 
• Mentor and support junior ML engineers, helping shape their technical thinking and raise the quality bar across the team.
• Establish ML best practices for the team: monitoring, model feedback loops, and quality standards.

Who you are

• 4+ years building and shipping ML systems that run in production at scale.
• Systems thinking comes naturally. Model accuracy, data pipelines, serving infrastructure, and customer outcomes are one problem, not four.
• Evaluation methodology matters as much as model performance. A metric measured wrong is worse than no metric.
• Proficient in Python, with practical experience building data pipelines and deploying models to production.

Even better if you have

• Experience with multimodal systems: vision, NLP, audio, or behavioral signal pipelines.
• LLM experience: fine-tuning, RLHF, or multi-turn agentic systems.
• Background in adversarial ML, fraud detection, or anomaly detection.
• Publications or open-source contributions in detection, robustness, or evaluation methodology.

You will thrive here if

• Messy, undefined problems are more interesting to you than optimizing within clean ones.
• Ambiguity energizes you, especially when the right framing is itself part of the work.
• Direct access to leadership, fast feedback loops, and genuinely unsolved problems is what you are looking for.
• Defining what a system should be is more compelling than maintaining what already exists. 

Zeta Marketing Platform (ZMP) is a machine learning/AI powered customer acquisition and CRM multi-tenant platform. The backend developer will work on server-side APIs and services that enable a highly distributed event pipeline and a stack that gets tens of thousands of messages per second.

As a senior member of the Software Engineering team, you will join the group responsible for designing, developing, and owning the distributed systems CRI 1 platform for Zeta. You will collaborate with your fellow Engineers and Product managers to develop a roadmap and subsequent projects to build the next generation comprehensive, multichannel marketing solution that unifies and unlocks data across digital touch points, driving return on marketing investment.

You should have a deep knowledge of distributed systems and cloud architecture. You will need extensive design and development experience and be passionate about working with high-throughput systems where the issues of throughput, performance, redundancy, and concurrency are paramount.

 Key Responsibilities:

 As a Senior Software Developer, you will be:

• Responsible for independently and cooperatively understanding business requirements, designing, and implementing core components for real-world marketing automation platform.
• Designing, implementing application code to satisfy product requirements
• Ensuring high product quality through rigorous code reviews and unit tests
• Fixing bugs and implementing enhancements
• Taking ownership of a significant product component in design and implementation

Requirements:

• We are looking for exceptional talent with superior academic credentials and a solid foundation in computer sciences and distributed systems design and development.
• The candidate will have at least 4 years of experience developing scalable, robust sohware platforms using Java/Ruby/Python or an equivalent language.
• An undergraduate degree in Computer Science (or a related field) from a university where the primary language of instruction is English is strongly desired.
• Strong communication skills in a large-distributed development team environment are essential.
• Experience in Advertising Attribution domain is a plus

Requirements:

• BS or MS in Computer Science or related field
• 4 - 8 years of working experience with J2EE technology, Python or equivalent OO paradigm
• Strong knowledge and experience with Kafka, Elastic Search, Airflow, NoSQL databases such as Aerospike,Thrift, Cl, and AWS.
• Experience with SQL languages
• Experience working with container-based solutions is a plus.
• Experience working in a fast-paced technology environment.
• Strong object-oriented programming and design skills.
• Excellent problem solving, critical thinking, and communication skills.
• Ability and desire to learn new skills and take on new tasks.

 Company Profile:

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

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

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

Zeta Global Recognized in Enterprise Marketing Software and Cross-Channel Campaign Management Reports by Independent Research Firm

https://www.forbes.com/sites/shelleykohan/2024/06/19/amazon-partners-with-zeta-global-to-deliver-gen-ai-marketing-automation/

https://www.cnbc.com/video/2024/05/06/zeta-global-ceo-david-steinberg-talks-ai-in-focus-at-milken-conference.html

https://www.businesswire.com/news/home/20240904622808/en/Zeta-Increases-3Q%E2%80%9924-Guidance

https://www.prnewswire.com/news-releases/zeta-global-opens-ai--data-labs-in-san-francisco-and-nyc-300945353.html

https://www.prnewswire.com/news-releases/zeta-global-recognized-in-enterprise-marketing-software-and-cross-channel-campaign-management-reports-by-independent-research-firm-300938241.html

We invite you to explore this opportunity to be a part of the Zeta family……

Should you need any assistance or require further information, please do not hesitate to contact us.

Greetings From Zeta Global !!

Requirements:

• Education:
• B.S. or M.S. in Computer Science or a related field.

• Experience:
• 8+ years of experience with UI Automation tools such as Selenium, and API automation works.
• 5+ years of experience working with Python and/or J2EE technology or equivalent OO paradigm.
• Experience with automating test validation either via API or through databases using Snowflake, HIVE, or AWS Athena is highly desirable.
• Web application testing experience required both in frontend and backend validations.
• Experience working in a fast-paced technology environment.

• Technical Skills:
• Knowledge and experience with Robot Framework and its libraries using Python.
• Strong proficiency in Python programming.
• Knowledgeable in Git workflows like branching, merging, and conflict resolution.
• Solid understanding of SDLC and Agile testing methodologies.
• Experience with Atlassian tools such as Jira and Confluence preferred.
• Knowledge and experience with Kafka, Elasticsearch, and SQL/NoSQL databases such as Aerospike, Thrift, CI, and AWS is highly desirable.
• Knowledge of other test automation frameworks such as Selenium, Appium, or Cucumber is a plus.
• Experience working with container-based solutions is a plus.

• Soft Skills:
• Strong communication and interpersonal skills.
• Excellent problem-solving, critical thinking, and analytical skills.
• Ability and desire to learn new skills and take on new tasks.

Responsibilities:

• Testing and Automation:
• Perform automated tests covering both frontend/UI and backend/API tests, analyze results, and report defects.
• Continuously improve the test automation strategy to enhance test coverage and efficiency.
• Proactively involve in the development of automation frameworks to satisfy business requirements as well as improve the performance and usability of the framework.
• Automate tests to ensure functional requirements and performance KPIs are met.
• Ensure high product quality through rigorous functional and API level tests.

• Collaboration and Mentorship:
• Understand business requirements independently and cooperatively.
• Mentor and guide other QA engineers on best practices in test automation.
• Collaborate with cross-functional teams to integrate automated tests into the CI/CD pipeline.

• Development and Documentation:
• Architect, design, and implement a reliable and scalable automation framework for a real-world machine learning platform.
• Develop comprehensive test plans covering business use cases and test cases.
• Identify, record, document thoroughly, and track bugs.
• Perform thorough regression testing when bugs are resolved.

Company Summary

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

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

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

Zeta Global Recognized in Enterprise Marketing Software and Cross-Channel Campaign Management Reports by Independent Research Firm

https://www.forbes.com/sites/shelleykohan/2024/06/19/amazon-partners-with-zeta-global-to-deliver-gen-ai-marketing-automation/

https://www.cnbc.com/video/2024/05/06/zeta-global-ceo-david-steinberg-talks-ai-in-focus-at-milken-conference.html

https://www.businesswire.com/news/home/20240904622808/en/Zeta-Increases-3Q%E2%80%9924-Guidance

https://www.prnewswire.com/news-releases/zeta-global-opens-ai--data-labs-in-san-francisco-and-nyc-300945353.html

https://www.prnewswire.com/news-releases/zeta-global-recognized-in-enterprise-marketing-software-and-cross-channel-campaign-management-reports-by-independent-research-firm-300938241.html

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

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

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

Key Responsibilities:

Threat Modeling & Security Validation

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

Embedding Security into the SDLC

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

Emerging Threat Monitoring & Proactive Defense

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

Security Awareness & Policy Implementation

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

What You Need to Succeed

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

Nice to Have

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

WHO WE ARE

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

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

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

ZETA IN THE NEWS!

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

At Zeta Global, identity is at the core of our marketing cloud. The Identity team builds and operates backend services that power the Zeta Identity Graph - collecting, resolving, and maintaining billions of behavioural, demographic, and transactional signals. These services enable people-based marketing at scale, ensure trust and transparency in how identity data is managed, and provide critical APIs and event streams consumed across Zeta’s platform. Our systems support more than 235 million consumer profiles and process billions of events monthly, requiring services that are highly available, low-latency, and built to scale.

We are looking for a Lead Software Engineer who brings strength in both backend distributed systems and data engineering. In this role, you’ll design APIs and event-driven services, scale our systems to handle rapidly growing data volumes, and modernize our platform for resilience, transparency, and performance.

You Will:

• Design and build backend services and APIs for identity resolution, graph transparency, and integrations.
• Develop and optimize event-driven pipelines and workflows processing billions of signals.
• Deploy and operate cloud-native services on EKS/Kubernetes, leveraging Helm for repeatable deployments.
• Ensure reliability, observability, and scalability across services and data pipelines.
• Collaborate across engineering, product, and data teams to deliver end-to-end identity solutions.
• Mentor engineers and influence architecture and roadmap decisions.

You Have:

• 7+ years of experience in backend and/or data engineering at scale.
• Strong skills in Python, Java, or Scala, with expertise in APIs, distributed systems, and event-driven design.
• Hands-on experience with Kafka (or similar), Spark/Hive/Flink, and workflow schedulers (Airflow/Luigi).
• Proficiency with Kubernetes (EKS preferred) and deployment practices (Helm, service meshes).
• Solid knowledge of SQL, data modelling, and cloud platforms (AWS).
• Familiarity with columnar / NoSQL databases (Aerospike, Snowflake, HBase, Scylla, Elasticsearch)
• Knowledge of performance optimization and resilience patterns (caching, retries, fault tolerance).
• Familiarity with CI/CD and automated testing practices for backend services.
• Strong communication skills and a track record of driving technical direction and mentoring teams.

Bonus Skills:

• Experience with large-scale or multi-tenant distributed systems.
• Exposure to real-time streaming frameworks (Flink, Storm).
• Knowledge of open table formats (Iceberg, Hudi, Delta Lake).
• Background in security, compliance, or privacy related to identity systems.

Company Summary:

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

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

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

Zeta Global Recognized in Enterprise Marketing Software and Cross-Channel Campaign Management Reports by Independent Research Firm

https://www.forbes.com/sites/shelleykohan/2024/06/19/amazon-partners-with-zeta-global-to-deliver-gen-ai-marketing-automation/

https://www.cnbc.com/video/2024/05/06/zeta-global-ceo-david-steinberg-talks-ai-in-focus-at-milken-conference.html

https://www.businesswire.com/news/home/20240904622808/en/Zeta-Increases-3Q%E2%80%9924-Guidance

https://www.prnewswire.com/news-releases/zeta-global-opens-ai--data-labs-in-san-francisco-and-nyc-300945353.html

https://www.prnewswire.com/news-releases/zeta-global-recognized-in-enterprise-marketing-software-and-cross-channel-campaign-management-reports-by-independent-research-firm-300938241.html

We invite you to explore this opportunity to be a part of the Zeta family……

Should you need any assistance or require further information, please do not hesitate to contact us.

As a Staff Backend Engineer, you will be a highly technical individual contributor responsible for designing, building, and optimizing the backend systems that power our low-latency ad platform. You will take the lead in developing scalable microservices and streaming data infrastructure to handle high-throughput workloads with minimal latency. This role requires deep expertise in distributed systems and real-time data processing (ideally in the programmatic advertising domain) to ensure our systems remain highly performant and reliable. You’ll work closely with product managers, data scientists, and other engineering teams to translate business needs into technical solutions and ensure the platform is fast, fault-tolerant, and observable. This role is based in the United States and can be performed remotely, with a preference for candidates who can join us in a hybrid capacity in San Francisco, New York, or Atlanta.

Responsibilities:

• System Architecture & Development: Lead the design and implementation of scalable, high-performance backend services, including microservices and APIs, that can efficiently handle large volumes of requests with low latency. Ensure the architecture accommodates real-time bidding and personalization use cases common in AdTech.
• Streaming Data Infrastructure: Develop and maintain streaming data pipelines and event-driven systems to process and analyze continuous data flows in real time (e.g., using Apache Kafka). Optimize data ingestion and processing for timeliness and accuracy to support downstream analytics and machine-learning models.
• Performance & Reliability: Ensure the backend systems are highly performant, resilient, and stable under heavy load. Implement robust fault-tolerance mechanisms and optimize for low-latency response times in a high-concurrency environment. Leverage observability best practices (comprehensive monitoring, logging, and tracing) to enable engineers to quickly analyze system behavior and take proactive measures to boost performance and reliability.
• Cross-Functional Collaboration: Work closely with cross-functional teams – including Product, Data Science, DevOps, and Frontend – to translate business requirements into scalable technical solutions. Facilitate effective communication and collaborative problem-solving to deliver new features and improvements that align with our product roadmap.
• Technical Leadership & Mentorship: Provide technical leadership within the engineering team without direct managerial duties. Guide and mentor junior engineers through code reviews, design discussions, and best practice adoption, fostering a culture of technical excellence and continuous improvement.
• Technical Strategy & Innovation: Stay abreast of emerging technologies and industry trends (e.g. new AWS services, streaming frameworks, database technologies) and evaluate their potential benefit to our platform. Contribute to the technical roadmap, making build-vs-buy recommendations and driving innovation to keep our systems ahead of the curve.

Required Qualifications:

• 8+ years of software engineering experience building backend systems, with 3+ years in a senior or lead role (e.g. Staff Engineer, Principal Engineer) in the AdTech or a similar high-volume, low-latency domain.
• Proven track record in designing and building high-throughput, low-latency distributed systems that operate at scale (e.g. handling thousands of requests per second or more).
• Expertise in microservices architecture and distributed system design, including experience decomposing monoliths or building greenfield microservices with well-defined APIs.
• Proficiency in Java and Go for backend development, and experience with Python for scripting, automation, or data processing tasks.
• Hands-on experience with streaming data technologies and event-driven frameworks, such as Apache Kafka (or AWS Kinesis), and possibly stream processing frameworks (Spark Streaming, Flink, or similar, experience with Apache Kafka is highly desired).
• Strong experience with cloud platforms (AWS preferred) and deploying services in a cloud-native environment. Familiarity with AWS components like EC2, S3, Lambda, SNS/SQS, etc., and ability to design cost-effective, performant cloud architectures.
• Experience with both SQL and NoSQL databases for high-volume applications. Comfortable with technologies like PostgreSQL/MySQL as well as key-value or wide-column stores (e.g. DynamoDB, Cassandra, Redis) for caching and fast lookups.
• Familiarity with containerization and orchestration tools (Docker, Kubernetes) and CI/CD pipelines to build and deploy microservices reliably.
• Deep understanding of system observability and monitoring – experience instrumenting applications and using monitoring/logging tools to ensure visibility into system performance (e.g. Prometheus, Grafana, ELK stack or similar).
• Excellent problem-solving and communication skills. Ability to communicate complex technical concepts clearly to cross-functional team members and stakeholders. Proven collaboration skills in an agile development environment.

Preferred Qualifications:

• Domain Expertise: Deep knowledge of the programmatic advertising ecosystem, including how Demand-Side Platforms (DSPs), Supply-Side Platforms (SSPs), ad exchanges, and real-time bidding (RTB) work together. Prior experience building or optimizing components of a DSP or ad server is a strong plus.
• High-Scale Data Processing: Experience designing systems that operate at extreme scale, such as real-time auction systems or high-frequency trading platforms, and optimizing algorithms for latency and throughput (e.g. understanding of auction theory or bidding optimization strategies).
• Data Pipelines & Analytics: Familiarity with big data processing and analytics pipelines (Spark, Hadoop, or columnar data stores) for batch and streaming workloads. Experience with data warehousing or real-time analytics databases (e.g. Druid, ClickHouse) is a plus.
• Advanced Performance Tuning: Demonstrated experience in performance profiling and optimization (e.g. JVM tuning, concurrency, GC optimization, network I/O) in large-scale Java or Go applications.
• Leadership in the Tech Community: A track record of contributing to open-source projects, technical publications, or speaking at industry conferences. Keeping on top of emerging trends and sharing knowledge both inside and outside the organization.
• Education: Bachelor’s degree in Computer Science, Engineering, or related field (Master’s or Ph.D. a plus), with strong foundations in algorithms and data structures.

Company Profile:

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

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

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

ZETA IN THE NEWS!

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

As a Staff Backend Engineer, you will be a highly technical individual contributor responsible for designing, building, and optimizing the backend systems that power our low-latency ad platform. You will take the lead in developing scalable microservices and streaming data infrastructure to handle high-throughput workloads with minimal latency. This role requires deep expertise in distributed systems and real-time data processing (ideally in the programmatic advertising domain) to ensure our systems remain highly performant and reliable. You’ll work closely with product managers, data scientists, and other engineering teams to translate business needs into technical solutions and ensure the platform is fast, fault-tolerant, and observable. This role is based in the United States and can be performed remotely, with a preference for candidates who can join us in a hybrid capacity in San Francisco, New York, or Atlanta.

Key Responsibilities

• System Architecture & Development: Lead the design and implementation of scalable, high-performance backend services, including microservices and APIs, that can efficiently handle large volumes of requests with low latency. Ensure the architecture accommodates real-time bidding and personalization use cases common in AdTech.
• Streaming Data Infrastructure: Develop and maintain streaming data pipelines and event-driven systems to process and analyze continuous data flows in real time (e.g., using Apache Kafka). Optimize data ingestion and processing for timeliness and accuracy to support downstream analytics and machine-learning models.
• Performance & Reliability: Ensure the backend systems are highly performant, resilient, and stable under heavy load. Implement robust fault-tolerance mechanisms and optimize for low-latency response times in a high-concurrency environment. Leverage observability best practices (comprehensive monitoring, logging, and tracing) to enable engineers to quickly analyze system behavior and take proactive measures to boost performance and reliability.
• Cross-Functional Collaboration: Work closely with cross-functional teams – including Product, Data Science, DevOps, and Frontend – to translate business requirements into scalable technical solutions. Facilitate effective communication and collaborative problem-solving to deliver new features and improvements that align with our product roadmap.
• Technical Leadership & Mentorship: Provide technical leadership within the engineering team without direct managerial duties. Guide and mentor junior engineers through code reviews, design discussions, and best practice adoption, fostering a culture of technical excellence and continuous improvement.
• Technical Strategy & Innovation: Stay abreast of emerging technologies and industry trends (e.g. new AWS services, streaming frameworks, database technologies) and evaluate their potential benefit to our platform. Contribute to the technical roadmap, making build-vs-buy recommendations and driving innovation to keep our systems ahead of the curve.

Required Qualifications:

• 8+ years of software engineering experience building backend systems, with 3+ years in a senior or lead role (e.g. Staff Engineer, Principal Engineer) in the AdTech or a similar high-volume, low-latency domain.
• Proven track record in designing and building high-throughput, low-latency distributed systems that operate at scale (e.g. handling thousands of requests per second or more).
• Expertise in microservices architecture and distributed system design, including experience decomposing monoliths or building greenfield microservices with well-defined APIs.
• Proficiency in Java and Go for backend development, and experience with Python for scripting, automation, or data processing tasks.
• Hands-on experience with streaming data technologies and event-driven frameworks, such as Apache Kafka (or AWS Kinesis), and possibly stream processing frameworks (Spark Streaming, Flink, or similar, experience with Apache Kafka is highly desired).
• Strong experience with cloud platforms (AWS preferred) and deploying services in a cloud-native environment. Familiarity with AWS components like EC2, S3, Lambda, SNS/SQS, etc., and ability to design cost-effective, performant cloud architectures.
• Experience with both SQL and NoSQL databases for high-volume applications. Comfortable with technologies like PostgreSQL/MySQL as well as key-value or wide-column stores (e.g. DynamoDB, Cassandra, Redis) for caching and fast lookups.
• Familiarity with containerization and orchestration tools (Docker, Kubernetes) and CI/CD pipelines to build and deploy microservices reliably.
• Deep understanding of system observability and monitoring – experience instrumenting applications and using monitoring/logging tools to ensure visibility into system performance (e.g. Prometheus, Grafana, ELK stack or similar).
• Excellent problem-solving and communication skills. Ability to communicate complex technical concepts clearly to cross-functional team members and stakeholders. Proven collaboration skills in an agile development environment.

Preferred Qualifications:

• Domain Expertise: Deep knowledge of the programmatic advertising ecosystem, including how Demand-Side Platforms (DSPs), Supply-Side Platforms (SSPs), ad exchanges, and real-time bidding (RTB) work together. Prior experience building or optimizing components of a DSP or ad server is a strong plus.
• High-Scale Data Processing: Experience designing systems that operate at extreme scale, such as real-time auction systems or high-frequency trading platforms, and optimizing algorithms for latency and throughput (e.g. understanding of auction theory or bidding optimization strategies).
• Data Pipelines & Analytics: Familiarity with big data processing and analytics pipelines (Spark, Hadoop, or columnar data stores) for batch and streaming workloads. Experience with data warehousing or real-time analytics databases (e.g. Druid, ClickHouse) is a plus.
• Advanced Performance Tuning: Demonstrated experience in performance profiling and optimization (e.g. JVM tuning, concurrency, GC optimization, network I/O) in large-scale Java or Go applications.
• Leadership in the Tech Community: A track record of contributing to open-source projects, technical publications, or speaking at industry conferences. Keeping on top of emerging trends and sharing knowledge both inside and outside the organization.
• Education: Bachelor’s degree in Computer Science, Engineering, or related field (Master’s or Ph.D. a plus), with strong foundations in algorithms and data structures.

WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS!

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

As a Senior AI/ML Engineer in our AdTech team, you will be a hands-on individual contributor building and deploying machine learning models and AI-driven features for our advertising platform. You will partner with engineering, product, and data science to deliver production-grade ML for campaign optimization, user personalization, and creative intelligence—operating at large scale and low latency across billions of ad events per day. You will contribute to modern ML/LLM capabilities and agentic workflows that automate and enhance campaign operations, with a strong focus on reliability, performance, and measurable business impact.

Key Responsibilities

• Machine Learning Delivery: Design, implement, and ship scalable ML solutions for core AdTech use cases (targeting, ranking, pacing, measurement). Own features end-to-end from experimentation to production rollout.
• ML System Design: Build and evolve the ML lifecycle—data preparation, training, evaluation, and real-time inference—ensuring models integrate cleanly with ad serving systems and meet low-latency, high-throughput requirements.
• Technical Contribution: Contribute to the AI/ML technical roadmap by evaluating tools and techniques (including deep learning, LLMs, and retrieval/feature systems). Make pragmatic trade-offs with an eye toward maintainability and operational excellence.
• AI & Agentic Applications: Develop and integrate LLM-powered features and agentic workflows that assist with campaign workflows such as audience insights, bid/budget recommendations, and creative generation—within well-defined guardrails.
• Cross-Functional Collaboration: Work closely with engineering, product, and data science partners to translate marketing objectives into ML-driven solutions, define success metrics, and deliver iterative improvements.
• Performance & Reliability: Operate ML services in a high-concurrency, latency-sensitive environment. Optimize inference paths, implement monitoring/alerting, manage model drift, and ensure safe deployment practices (A/B testing, canaries, rollbacks).
• Mentorship & Best Practices: Mentor and support other engineers through code/model reviews and knowledge sharing. Champion engineering rigor in testing, observability, documentation, and reproducible ML workflows.

Required Qualifications

• 5+ years of experience in software engineering and/or applied machine learning, with a track record of shipping ML systems to production.
• Experience designing and building high-throughput, low-latency services or data pipelines for large-scale applications.
• Working knowledge of the programmatic advertising ecosystem (DSP/SSP/RTB) is a plus; strong adjacent experience (recommendation, ranking, marketplaces) is also valued.
• Proficiency in at least one of Java, Go, or Python for backend services and ML tooling.
• Hands-on experience with ML frameworks (PyTorch or TensorFlow) and common modeling approaches (classification, ranking, embeddings, deep learning).
• Experience with big data and streaming frameworks (e.g., Spark, Kafka) for processing and analyzing large datasets.
• Experience deploying ML to cloud environments (preferably AWS) and operating services at scale.
• Familiarity with data stores (SQL/NoSQL) such as PostgreSQL/MySQL, Cassandra/DynamoDB, Redis, etc.
• Familiarity with containerization/orchestration (Docker, Kubernetes) and CI/CD practices.
• Strong communication skills and ability to collaborate across disciplines; comfort explaining technical concepts to both technical and non-technical stakeholders.

Preferred Qualifications

• Experience with Large Language Models (LLMs) and generative AI applied to advertising (e.g., ad copy generation, creative optimization, or personalized messaging).
• Experience designing and implementing agentic workflows that support autonomous or semi-autonomous decision-making with strong safety/observability guardrails.
• Experience with model serving and optimization for real-time inference (latency-critical environments).
• Familiarity with modern data lake and table formats (e.g., Apache Iceberg, Apache Hudi) for managing large-scale analytical datasets.
• Knowledge of microservices architecture and event-driven design patterns in distributed systems.
• Contributions to open-source projects, publications, or speaking engagements that demonstrate thought leadership in AI/ML are a plus.

WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com. 

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS!

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

Secure Every Identity, from AI to Human

Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

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

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MongoDB is growing and gaining adoption rapidly across the globe with the most demanding and innovative companies and development teams in enterprise software.

We are seeking a Senior Staff Engineer to join our growing Gurugram Products & Technology team to provide technical direction, direct architecture, and implement core parts of a new platform we are building to make it easier for customers to build AI applications using MongoDB. 

As a Senior Staff Engineer on this new team, you will be responsible for providing technical leadership to teams developing cutting edge technologies related to enabling deployment at scale of AI applications. You will take on challenging, high-visibility projects that improve and enhance the performance, scalability, and reliability of the distributed systems infrastructure for this new product. MongoDB engineering teams pride themselves on building high-quality software and living MongoDB cultural values every day – we value intellectual curiosity and honesty, and building together in an environment that prioritizes collaboration over competition. 

We are looking to speak to candidates who are based in Bengaluru for our hybrid working model. We are open to considering candidates in other cities, including in Gurugram

Position Expectations

• Work closely with research, product management, product engineering, product design, peers as well as other teams within the company to define the first version and future evolution of the service 
• Design, build and deliver well-tested core pieces of the platform in collaboration with other vested parties
• Contribute to shaping architecture, code reviews and development practices, developer experience as the teams and product grow 
• Mentor fellow engineers and assume ownership and accountability of projects

Qualifications

• Strong background in building core components for high scale compute and data distributed systems
• 15+ years experience of building distributed systems, and/or foundational cloud services at scale and an interest in working with Python, Go and Java
• Proven success in designing, writing, testing, debugging, performance tuning, possessing a strong grip on the foundational materials of computer science and maintaining distributed and/or highly concurrent software systems in large, long-lived code bases
• Track record of identifying problems, implementing solutions and delivering complex projects in distributed systems or databases
• Experience leading 15-20 people projects involving distributed systems infrastructure from conception to successful delivery
• Good verbal and written technical communication skills, desire to collaborate with colleagues
• Bonus points for experience with containerization and orchestration platforms (eg. Kubernetes) and AI frameworks and tools
• Be a force multiplier in our software development process. Enable teams to deliver great products through leadership and technical contributions
• Eager to learn, with a strong technical background

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. 

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.

Req ID - 1273354568

About the Role

We’re looking for a Software Engineer for Cloud Data Warehouse database connector team and supporting other databases teams to drive improved performance, reliability, and analytical power for our platform to delight our customers in how they use their data.

This team is tasked with evolving a high performance extract-load-transform data integration system that enables our connector teams to ship the Fivetran ELT product using powerful abstractions. The role will challenge you to solve problems in the domains of performance engineering, data security, and cluster orchestration. You don’t need to be a subject matter expert before you join us (you will become one within this role!), but you will need to have experience working carefully with a high impact software team — especially in environments where the best option may not be obvious, your decisions have cascading implications, and where you sometimes need to measure three times before you cut once.

A successful candidate will be humble enough to collect diverse input and build consensus, will be experienced and confident enough to be decisive when it’s needed, and will be practical enough to build and iterate on the system while it’s in production. We are also looking for a high level of expertise and productivity with modern software development environments (we use Java).

We're looking for people who can understand the key values that make our product great and implement those values in the many small decisions you make every day as one of our most senior engineers.

This is a full-time position based out of our Bangalore office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

Technologies You’ll Use

• Java, SQL Server, SQL, Docker, AWS, GCP, BuildKite, DBeaver, Grafana

What You’ll Do

• Be a horizontally-scaling engineer (we grow together as a team)
• Design and implement features and performance improvements in the Fivetran core to create highly scalable distributed data pipelines on the cloud
• Care and feel ownership of our product platform, and leverage your skills towards improving it
• Advocate for core values, business impact, better engineering, and simple and direct solutions
• Lead engineering-wide initiatives for a number of key technologies
• Collaborate across engineering on cross-functional projects creating innovative solutions
• Work across the project lifecycle: requirements, design, prototype, implementation, review, release, monitoring
• Review and approve technical design documents and pull requests
• Improve and enhance engineering systems documentation and development processes
• Coach and mentor other software engineers
• Contribute to hiring by participating in the interview process

Skills We’re Looking For

• Typically, 5+ years of software development experience in fast paced environments
• Demonstrated passion to learn how large-scale software engineering projects work
• Lead and mentor junior team members
• Has developed an ability to write, test, and deploy well-structured and performant code
• Experience developing data-processing systems, preferably for an external-facing product
• Strong technical communication skills (written and verbal) in English
• Proficient level programming in an object oriented / systems language such as Java, Python, C# etc.
• Experienced with end-to-end systems profiling, performance, and optimization
• Experience troubleshooting problems with existing code and systems
• Experienced working in a cloud environment architecture utilizing AWS, GCP, Postgres, Kubernetes, Docker, or similar technologies

Bonus Skills​

• Experience with BigQuery, Snowflake, Databricks, SQL Server, Oracle, Postgres, MySQL, MongoDB, CosmosDB databases
• Developed any ETL/ELT pipelines

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