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 - Senior Database Operations Engineer

Job Summary
Reporting to the Manager, Database Administration, the Senior Database Operations Engineer will provide timely and quality database design, development, maintenance, and problem resolution services for internal and external customers. They will manage highly resilient corporate and cloud database infrastructure utilized by GHX DaaS/SaaS solutions. The Sr Database Ops Engineer will work with various operational and development teams to plan, design and implement and support core database functionality that meets company initiatives with respect to performance, scalability, reliability, and adherence to operational policies and principles.

Roles and Responsibilities:

•Administration and management of GHX databases, including:Backup and recovery ,Monitoring of data database capacity and performance ,Security and data access management ,Installations, upgrades, and patching ,Fail over server management
•Safeguard the company's data, tools and information systems by adhering to Operational and Security policies and procedures throughout the lifecycle of service delivery.
•24/7 monitoring, on-call support and troubleshooting database issues, provide operational feedback to development and release teams.
• Provide guidance and assistance to junior database engineers
• Collaborate with DB platform engineers on DB version and upgrades as well as best practices

Required Qualifications

•Bachelor’s degree from an accredited college in CS or related discipline or equivalent experience
•5-8 years’ experience in Database Administration
•In depth knowledge of at least one RDBMS platform or No-SQL platform (ie MongoDB, MySQL, PostgreSQL, ElasticSearch, Redis, Oracle or SQL server) with familiarity and the ability to support additional platforms at a basic level
•Experience with hybrid and public cloud concepts
•Part of a support organization involved in implementation projects
•Proven ability to manage databases in a high transaction/high availability environment
•Experience with horizontal scaling and high availability technologies/concepts (ie Oracle RAC & Dataguard, SQL Server ‘Always On’)
•Hands-on experience with Solaris, UNIX, Linux, or Windows operating systems in a physical and/or virtual environment
•Experience with cloud hosted databases AWS preferred

Preferred Skills

•Strong critical thinking, analytical and problem-solving skills
•Interpersonal skills with a strong orientation towards customer service
•Excellent written and oral communications skills with demonstrated commitment to production of high-quality documentation
•Excellent team player with good experience working with departmental and cross functional teams

Role - Database Operations Engineer III

Job Summary Reporting to the Manager, Database Administration, the Database Operations Engineer will provide timely and quality database design, development, maintenance, and problem resolution services for internal and external customers. They will manage highly resilient corporate and cloud database infrastructure utilized by GHX DaaS/SaaS solutions. The Database Ops Engineer will work with various operational and development teams to plan, design and implement and support core database functionality that meets company initiatives with respect to performance, scalability, reliability, and adherence to operational policies and principles.

Roles and Responsibilities:

•Administration and management of GHX databases, including Backup and recovery Monitoring of data database capacity and performance Security and data access management
Installations, upgrades, and patching fail over server management
•Safeguard the company's data, tools and information systems by adhering to Operational and Security policies and procedures throughout the lifecycle of service delivery.
•24/7 monitoring, on-call support and troubleshooting database issues, provide operational feedback to development and release teams.
• Provide guidance and assistance to junior database engineers
• Collaborate with DB platform engineers on DB version and upgrades as well as best practices
Required Qualifications
•Bachelor’s degree from an accredited college in CS or related discipline or equivalent experience
•2-5 years’ experience in Database Administration
•In depth knowledge of at least one RDBMS platform or No-SQL platform DBs (ie MongoDB, MySQL, PostgreSQL, ElasticSearch, Redis, Oracle or SQL server) with familiarity and the ability to support additional platforms at a basic level
•Experience with hybrid and public cloud concepts
•Part of a support organization involved in implementation projects
•Proven ability to manage databases in a high transaction/high availability environment
•Experience with horizontal scaling and high availability technologies/concepts (ie Oracle RAC & Dataguard, SQL Server ‘Always On’)
•Hands-on experience with Solaris, UNIX, Linux, or Windows operating systems in a physical and/or virtual environment
•Experience with cloud hosted databases AWS preferred

Preferred Skills
•Strong critical thinking, analytical and problem-solving skills
•Interpersonal skills with a strong orientation towards customer service
•Excellent written and oral communications skills with demonstrated commitment to production of high-quality documentation
•Excellent team player with good experience working with departmental and cross functional teams

Job Summary:

We are looking for a Senior Software Engineer to build production-level reference architecture applications.The ideal candidate will be skilled in building back-end applications in AWS using Java, Springboot, Kubernetes, Kafka, Mongo, understands API and microservice concepts, built DR capabilities, and has utilized AI in generating code and tests. On the front-end, knowledge of Angular and Micro-Frontend approaches are ideal.

Qualifications:

• 5+ years of experience designing and implementing technological solutions using Java and SpringBoot within cloud environments
• Proficiency in Frontend WebApp development building SPA applications in Angular and deploying via AWS CloudFront
• Experience building sync/async/batch back-end microservices.
• Expertise in using AWS services like CloudFront, S3, SQS, Secrets Manager, KMS, API Gateway, IAM, EKS, ECS
• Proficient at debugging full-stack issues including AWS cloud network, access or configuration issues
• Kubernetes expertise running and debugging and optionally in admin/setup of clusters.
• 1+ years Mongo/Atlas experience
• Experience using Kafka
• Experience in designing, building and documenting APIs (i.e. OpenAPI) and building REST and/or GraphQL endpoints and using API Gateways
• Experienced with DR site fail-over, turn-away concepts and DR testing
• Proficiency using AI to generate code, unit test/code coverage and API tests
• Quality engineering experience running API, performance and scalability tests
• Experienced working within Agile SDLC environments (Kanban or Scrum)

Knowledge, Skills, and Abilities

• Good communication skills and collaborates well
• Responsible and trusted employee that raises questions and concerns early and often.
• Comfortable working in an Agile fast-paced environment
• Self-motivated and self-sufficient and is willing to learn and work in environment with only directional guidance and minor hand-holding Strong project management skills, with experience delivering complex automation initiatives.

Role: Sr, Software Engineer
Location: Hyderabad, India (Hybrid)
Department: Product Engineering
Reports to: Manager, Software Engineering

About GHX:
GHX (Global Healthcare Exchange) is a leading healthcare technology company on a mission to simplify the business of healthcare and improve patient outcomes. Founded in 2000, GHX has built the GHX Global Network — the world’s largest cloud-based supply chain community connecting healthcare providers, suppliers, distributors, and partners to automate key processes, reduce costs, and increase operational efficiency. Its solutions span electronic trading, procurement automation, inventory and contract management, business intelligence, and data synchronization, helping healthcare organizations improve productivity and focus more on patient care. Over the years, GHX has enabled significant cost savings for the industry and continues to innovate with intelligent automation and AI-driven capabilities.

Website: https://www.ghx.com/
LinkedIn: https://www.linkedin.com/company/ghx/

About the Role

GHX is seeking a Sr Software Engineer with deep technical expertise and a proven track record in designing, developing, and delivering high-quality, scalable software solutions. The Senior Software Engineer will play a pivotal role in the development of technological solutions, contributing to both existing and next-generation applications. The ideal candidate will be proficient in Java and Spring framework, skilled in software design patterns, experienced with AWS cloud services, and adept in CI/CD pipelines, with a passion for leading innovative projects in a collaborative environment.

Duties and Responsibilities

• Develop scalable, secure, and maintainable software systems that align with business needs, creating flexible, reusable, and efficient solutions.
• Maintain a deep understanding of software subsystems, their components, interfaces, and data integrations to ensure seamless functionality and scalability.
• Perform branching updates on the Git repository along with CI/CD responsibilities.
• Collaborate proactively with cross-functional teams to address technical dependencies, review ideas and concerns, and deliver high-quality products.
• Identify root causes of challenges, analyze upstream and downstream impacts, and recommend impactful, broad-reaching solutions while considering corporate strategy and trade-offs.
• Establish and guide best practices for design, development, testing, and Agile workflows, mentoring team members and fostering a collaborative environment.
• Build and maintain strong business relationships to influence decision-making and drive innovative solutions across teams.

Qualifications

• 5+ years of experience in software development.
• BS degree in Computer Science.
• Experience designing and implementing technological solutions using Java and its frameworks (e.g., Spring, Hibernate).
• Proficiency in AWS technologies including EC2, SNS, SQS, S3, SES, Elasticsearch Service, Lambda, etc.
• Expertise in databases such as MongoDB, Elasticsearch, and MySQL.
• Familiarity with front-end technologies such as HTML, CSS, JavaScript, Angular, and TypeScript.
• In-depth knowledge and experience implementing RESTful APIs and web services.
• Experience with Rules Engine and/or event-driven architecture.
• Exposure to design best practices including performance, scalability, robustness, and resiliency.
• Prior experience working in Agile/Scrum environments.
• Ability to work independently and as part of a team on multiple overlapping projects.
• Proven track record of successfully delivering large, complex, cross-functional projects.
• Strong problem-solving, analytical, and communication skills.

Knowledge, Skills, and Abilities

• Develops and implements innovative solutions that challenge the status quo and drive process improvement.
• Communicates complex technical concepts effectively to diverse audiences, including technical and non-technical teams.
• Demonstrates a strong understanding of system-wide impacts and interdependencies across products, teams, and the organization.
• Addresses internal and external customer needs effectively, with the ability to interact directly with customers.
• Ability to work collaboratively in a global team environment.
• Adapts to changing conditions with flexibility and leads others through transitions with clarity and confidence.
• Leads by example, fostering teamwork, trust, and a shared purpose while promoting success and strategic thinking.
• Experience in healthcare or invoicing domains is an added advantage.
• Experience using AI coding tools and AI agents is an advantage, including Python and machine learning experience.

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

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

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

This role can be remotely in the India region.

About You

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

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

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

Key Responsibilities

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

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

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

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

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

What You'll Bring:

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

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

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

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

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

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

Why Join MongoDB

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

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

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

About MongoDB

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

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

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

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

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

MongoDB is an equal opportunities employer.

About Us:

Sauce Labs is the world's largest full-lifecycle, test automation platform, and the company behind Selenium. Trusted by 80% of the world's top ten largest financial institutions and over 300,000 enterprise users, Sauce Labs provides the only AI platform capable of turning business intent into autonomous testing and quality assurance. With a proprietary dataset of 8.7 billion test runs, Sauce Labs empowers the Fortune 2000 to bridge the gap between AI-driven code generation and enterprise-grade software quality. Learn more at saucelabs.com.

The Role:

This pivotal role drives the design and implementation of high-value features and the foundational Error-Reporting/Backtrace platform. This is a strategic product in the Sauce Labs portfolio, and you will be instrumental in enabling customers to analyze multi-dimensional data and debug at scale to resolve their business-critical production issues. Your solutioning and development expertise in native, low-level systems (Rust, C/C++) will accelerate the evolution of this intricate product with a highly performant custom columnar database. Core Linux backend skills and a DevOps perspective are essential to design and evolve a scalable, maintainable platform. You will collaborate remotely with a global engineering team on new capabilities, enhancing backend performance, reliability, data analysis, and user experience. If you have compelling code to share, we would love to see it—we hire for demonstrable talent first!

Responsibilities:

• Extend core subsystems including work scheduling, networking (HTTP), storage, indexing, and data analysis. Performance-sensitive components are primarily in Rust and C/C++.
• Enhance platform observability by integrating bespoke and off-the-shelf OpenTelemetry capabilities, encompassing metrics, tracing, and profiling, and evolving Grafana dashboards to provide deeper insights.
• Collaborate with business and management functions to develop and execute the product roadmap.
• Provide technical leadership, advising on investments, leading solution design and development, and mentoring junior staff.
• Participate in on-call rotation.
• Contribute to improvements in the software development lifecycle for increased velocity and quality.

Required Skills:

• 7+ years of development experience in C/C++ and Rust.
• Demonstrable skill in developing specialized data structures, algorithms, and supporting infrastructure for real-world workloads.
• Solid experience with cloud platforms (GCP, AWS).
• Proficiency with live and post-mortem debugging tools.
• Expertise in the development of AI-driven features, as well as agents and skills integrated with internal workflows.
• Strong experience managing/scripting CI and scaling infrastructure using DevOps tools like Jenkins, Docker, Kubernetes, and Salt.
• You are autonomous, take initiative, and act on it.
• You stay current with the field, having read at least 2 relevant computer systems papers in the last year.
• You have a proven track record of collaboration and pragmatism, leveraging the strengths of others to build great products.

This Saucer can be found globally.  We believe in the power of in-person collaboration to build strong relationships and drive innovation. To support this, our office models are tailored by region:

• Poland, Berlin, and the US: We operate on a hybrid basis, offering flexibility alongside collaboration with in-office days as required.
• India: We operate in-office 5 days a week to maximize team synergy and real-time collaboration and mentorship.

Regardless of location, Saucers living near an office are expected to be present and engaged with their local teams.

Please note our privacy terms when applying for a job at Sauce Labs.

Sauce Labs is proud to be an Equal Opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity/expression/status, sexual orientation, age, marital status, veteran status or disability status.

Security responsibilities at Sauce

At Sauce, we will commit to supporting the health and safety of employees and properties, partnering with internal stakeholders to learn and act on ever-evolving security protocols and procedures. You’ll be expected to fully comply with all policies and procedures related to security at the department and org wide level and exercise a ‘security first’ approach to how we design, build & run our products and services.

About Us:

At Sauce Labs, we empower the world's top enterprises - like Walmart, Bank of America, and Indeed - to deliver quality web and mobile applications at speed. Our industry-leading platform ensures continuous quality across the SDLC, using AI-powered analytics to identify key quality signals from development through production. With our unified solution, teams can release and innovate with confidence, knowing their apps will always look, function, and perform exactly as they should. Backed by TPG and Riverwood Capital, we are shaping the future of digital confidence - join us!

The Role:

Sauce Labs is looking for a passionate Senior Backend Engineer to join the Sauce Connect team. This agile development team plays a critical role in enabling enterprise customers to maximize their use of Sauce Labs by providing a fast, secure connection between their internal development networks and our cloud-based virtual testing environments. You will work closely with the Product Owner, Engineering Manager, and other talented Sauce Connect engineers to achieve excellent results and shape the future of Sauce Connect

Responsibilities:

• Lead the technical direction and architectural design of Sauce Connect, collaborating with a cross-functional team to deliver a fast, secure, and scalable tunneling solution.
• Design, develop, and own projects across the full stack, from the backend server infrastructure to the client-side application on Linux, Windows, and macOS.
• Act as a technical expert for complex, escalated customer issues, performing root cause analysis and implementing robust solutions to prevent future problems.
• Drive continuous improvements in the scale, performance, and quality of our Trusted Connection Technologies, mentoring other engineers on best practices and system health.
• Proactively identify and evaluate emerging technologies in the open-source community, presenting well-researched proposals for adoption to drive innovation and technical excellence.
• Make and defend architectural decisions based on your extensive experience, balancing trade-offs between technical debt, velocity, and long-term maintainability.

Required Skills:

• 5+ years of professional software development experience in Python or Golang, with a proven track record of designing, building, and operating complex distributed systems and high-availability online services at scale.
• Experience in working with CI/CD tools (designing and implementing robust, automated pipelines using tools like GitHub Actions, GitLab CI, or Jenkins)
• Advanced experience with tunneling, proxy, or VPN-related solutions, with a understanding of their security implications and performance characteristics.
• Deep knowledge of TCP/IP networking, HTTP2, SSL/TLS, and WebSockets. You should be able to debug network issues at the packet level.
• Hands-on experience deploying and managing containerized applications at scale using Kubernetes.
• Demonstrable product development experience, including the ability to influence product strategy and make technical trade-offs to deliver customer-facing value.
• Exceptional ownership mentality and a passion for crafting elegant, well-architected products that deliver stellar user experiences.

Nice to Haves:

• Experience with asynchronous programming
• Experience building and consuming microservices
• Knowledge and understanding of data structures, algorithms, distributed systems, and design patterns.
• Familiarity with modern monitoring systems (e.g., Prometheus or OpenTelemetry)
• Understanding of common security practices involved in protecting customer data

We are a hybrid workplace that recognizes the importance of flexibility while valuing in-person collaboration and relationship building. As a result, Saucers located near an office location must be able and willing to come into the office. Those hired remotely must be able and willing to travel to an office as required by the specific role.

Please note our privacy terms when applying for a job at Sauce Labs.

Sauce Labs is proud to be an Equal Opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity/expression/status, sexual orientation, age, marital status, veteran status or disability status.

Security responsibilities at Sauce

At Sauce, we will commit to supporting the health and safety of employees and properties, partnering with internal stakeholders to learn and act on ever-evolving security protocols and procedures. You’ll be expected to fully comply with all policies and procedures related to security at the department and org wide level and exercise a ‘security first’ approach to how we design, build & run our products and services.

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

The Principal Applied AI Engineer will lead the development of internal AI capabilities that empower teams across Poppulo to work faster, smarter, and securely. This role partners with business leaders, engineers, and IT teams to identify high-value opportunities for AI and translate them into practical solutions including GPT assistants, AI agents, and automated workflows while protecting company data, customer trust, and regulatory compliance.

Reporting to the Chief Information Security Officer, this position focuses on driving internal AI innovation effectively and safely across the organization.

The ideal candidate combines strong AI skills & security engineering with a passion for turning cutting-edge AI capabilities into real outcomes.

Primary Responsibilities

• Define the technical direction and implementation standards for internal AI solutions, ensuring consistent, secure, and scalable adoption across teams.
• Provide technical leadership across internal AI initiatives by evaluating solution approaches, guiding technical decisions, and balancing business value, feasibility, and risk.
• Lead the design and deployment of internal AI solutions such as GPT assistants, AI agents, integrations, and automated workflows.
• Implement technical controls, monitoring, and safeguards for AI-enabled systems.
• Develop integrations between AI systems and enterprise platforms including internal tools, knowledge bases, and business applications.
• Partner with business teams to identify and deliver AI solutions that improve productivity and operational efficiency.
• Work with Security, Privacy, and Legal teams to ensure AI solutions align with internal policies, compliance requirements, and regulatory standards.
• Collaborate with IT, Engineering, and DevOps teams to ensure AI solutions are reliable, secure, and scalable.

Leadership Responsibilities

Although this role is an individual contributor, the Principal Applied AI Engineer will:

• Be a technical advisor to the CISO and business leaders on AI capabilities and risks.
• Encourage experimentation and innovation while ensuring AI solutions are deployed with appropriate safeguards.
• Foster cross-functional collaboration between IT, Security, Engineering, Product Development, and business units.

Qualifications

• 8+ years of experience in AI engineering, or machine learning engineering.
• Hands-on experience designing and implementing AI security controls and guardrails, including mitigation of prompt injection, data exfiltration risks, output validation, monitoring and access control for AI systems.
• Experience designing and deploying AI assistants, GPT-based tools, or agent-driven workflows integrated with enterprise systems or internal data.
• Strong experience securing and integrating APIs, MCP, automation frameworks, and enterprise systems.
• Experience working with AI model platforms or APIs such as OpenAI, Anthropic, AWS Bedrock, Azure OpenAI, or similar technologies.
• Experience building systems within cloud environments (AWS, Azure, or GCP).
• Ability to translate business requirements into scalable AI solutions while considering speed, security, reliability, and enterprise operational needs.

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, the UK and India.

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.

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. 

See yourself at Twilio

Join the team as our next Technical Support Engineer 2.

About the job

This position is needed to support our customers’ use of Twilio’s Programmable Messaging product. This role will function as the voice of Twilio to our customers and partners and operate as a subject-matter expert for Twilio’s Programmable Messaging API. In addition, focus on providing friendly, professional customer service, while problem-solving and demonstrating a high competency in communicating complex technical issues to both technical and non-technical audiences via phone, email, and chat mediums. Advanced time management skills are able to work well under pressure, and are proficient at developing workflows to remain efficient at tasks while still following standard processes and procedures.

Responsibilities

In this role, you’ll:

• Work on messaging email cases submitted by both individual developers and major brands. 
• Assist customers with troubleshooting message deliverability issues and debug customer code. 
• Speak with a customer on the phone and chat in order to guide them through the development of their SMS application. 
• Collaborate with your teammates and the Twilio Product and Engineering teams via Slack. File Jira’s to report reproducible bugs and review our internal knowledge base to stay up to speed with industry shifts and standards. 
• Work with your manager to surface customer problems to assist in process betterment.

Qualifications 

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

*Required:

• 2+ years of experience in a client-facing technical role, preferably in supporting REST API or enterprise software
• A firm understanding of the technology stacks common to the Web ecosystem.
• Functional knowledge of general-purpose programming languages.
• Strong problem-solving and technical troubleshooting skills
• Ability to professionally and diplomatically address customer concerns and provide concise feedback.
• Ability to de-escalate tense/tough customer situations in a live environment. 
• Excellent reading comprehension, listening, and writing skills  

Desired:

• Previous exposure or knowledge of Twilio products.
• Coding experience in any language. (reading and debugging)
• Previous experience with JIRA or a similar ticketing system.

Location

This role will be remote, and based in India (only in Karnataka, TamilNadu, Telangana, Maharashtra and Delhi).

Travel 

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.

What We Offer

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

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 

Stripe Infrastructure is responsible for the reliability, scale, performance, and cost of Stripe’s systems and the productivity and sentiment of Stripe’s people. You may work on a wide variety of critical business areas including: 

• Core Infrastructure: We’re the home for Stripe's critical tier 0 infrastructure systems (Compute, Networking, DocumentDB, Distributed Caching and High assurance engineering). We build the foundational platform for Stripe products and services to allow them to operate at scale. We drive reliability, availability, efficiency and scalability of these systems.
• Developer Infrastructure: We’re responsible for the productivity of all developers at Stripe. Ensure Stripe’s engineers have a reliable, fast, and easy-to-use inner dev loop to maximize productivity while building everything from low-latency microservices to large-scale data pipelines and machine learning models.
• Security : We’re a newly formed security team tasked with building the guardrails to extend Stripe’s secure platform, allowing engineers to leverage new technologies that best meet their needs. We work on enabling new technologies for product and platform teams, prioritizing on business needs as well as building the tooling and controls that further enables self-serve, guaranteeing a high bar is maintained across all Stripe surfaces with security in-built into foundations.
• Application and Revenue Platform: Building the powerful and scalable infrastructure that powers the company’s innovative application offerings and supports the seamless processing and management of Stripe’s global transaction volumes.

Team Matching: exact team matching for one of the subteams within one of these orgs will begin during final stages. Please note we may also consider you for different orgs based on your experience, location, etc. 

What you’ll do

We’re looking for Software Engineers who are interested in building software services and platforms that impact thousands of employees and millions of Stripe users, regardless of whether they’re an end user, developer, or partner. You will work on projects that span technologies, systems, and processes where you will design, build, test, and ship great code every day.

Responsibilities

• Build a great customer experience for internal and external Stripe teams using our infrastructure
• Participate in roadmap planning and prioritization
• Deliver value through a strong collaborative approach with multiple customers and stakeholders across Stripe
• Debug production issues across services and several levels of the stack

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

• 6-12+ years of industry software engineering experience (does not include internships or co-ops)
• Ability to write well-factored algorithms and have experience with commonly used data structures and algorithms
• Hands-on experience contributing to or building large scale distributed systems
• Strong coding skills in any programming language (we understand new languages can be learned on the job so our interview process is language agnostic)
• Strong collaboration skills, can work across workstreams within your team and contribute to your peers’ success
• Have the ability to thrive on a high level of autonomy, responsibility, and think of yourself as entrepreneurial
• Interest in working as a generalist across varying technologies and stacks to solve problems and delight both internal and external users

Preferred Qualifications

• Experience optimizing the end to end performance of distributed systems
• Focuses on the needs of our users, both internal and external
• Hold yourself and others to a high bar when working with production

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 

The Big Data Infrastructure operates the critical infrastructure that powers the batch data processing at Stripe. The team supports a variety of use cases, including Payment, Ledger, ML, Fraud Detection, Product Analytics, Regulatory Reporting, Financial Data Reconciliation, and externally facing products like Radar and Sigma. As an example of the scale, the team’s systems serve hundreds of teams, thousands of workflows, 100,000+ task executions, O(billion) transformations, and moving terabytes of data processing over 1 GB/second every day. Our users inside Stripe include other engineering teams, Data Scientists, Sales & Operations, Finance, etc. 

Data Orchestration builds and operates the time-based and event-based orchestration infrastructure that powers and accelerates batch data pipelines. The team operates on a wide range of tech stacks including Airflow, Spark, SQL, Kafka, Flink, Hive MetaStore, Trino, Pinot, Python, Java, Scala, S3, and Iceberg. 

What you’ll do 

As a Software Engineer on our team, you will do the following: 

• Design, build, and maintain innovative next-generation or first-generation versions of key Data Platform products, with an emphasis on usability, reliability, security, and efficiency. 
• Design ergonomic APIs and abstractions that build a great customer experience for internal Stripes, that will in turn enhance the experience of millions of Stripe users.
• Ensure operational excellence and enable a highly available & reliable Data Orchestration platform across batch workloads. 
• Collaborate nimbly with high-visibility teams and their stakeholders to support their key initiatives - while building a robust platform that benefits all of Stripe in the long term. 
• Plan for the growth of Stripe’s infrastructure by unblocking, supporting, and communicating proactively with internal partners to achieve results. ● Connect your work with improvements in the usability and reliability of Open Source Software (OSS) like Apache Airflow, Iceberg, Spark and contribute back to the OSS community. 

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 

• 8+ years of professional experience writing high quality production level code or software programs and interest in Data Infrastructure. 
• Has experience operating or enabling large-scale, high-availability data pipelines from design, to execution and safe change management. Expertise in Spark, Flink, Spark, Airflow, Python, Java, SQL, and API design is a plus. 
• Has experience developing, maintaining, and debugging distributed systems built with open source tools 
• Has experience building infrastructure-as-a-product with a strong focus on users needs 
• Has strong collaboration and communication skills, and can comfortably interact with both technical and non-technical participants. 
• Has the curiosity to continuously learn about new technologies and business processes. 
• Is energized by delivering effective, user-first solutions through creative problem-solving and collaboration. 

Preferred qualifications 

• Has experience writing production-level code in Expertise in Scala, Spark, Flink, Spark, Airflow, Python, Java, and SQL is a plus.
• Has experience designing APIs or building developer platforms ● Has experience optimizing the end to end performance of distributed systems ● Has experience with scaling distributed systems in a rapidly moving environment ● Has experience working with Airflow Infrastructure. 
• Genuine enjoyment of innovation and a deep interest in understanding how things work 

Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams. 

Office location - Bengaluru , KA, India 

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

Job Description

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

Key Responsibilities

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

Skills and Experience

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

What You'll Do

At HG Insights, we run one of the most data-rich go-to-market environments in B2B SaaS. We're looking for a Senior AI GTM Automation Engineer who will sit inside our Sales Engineering and Solutions team and build the tools, integrations, and AI-powered workflows that make our Sales Engineers, Solutions Engineers, and Enterprise CSMs dramatically more effective.

This is a force-multiplier role. You'll embed with revenue teams, understand their daily jobs to be done, and turn manual, repetitive work into fast, reliable automations—so our best people spend their time on the work only humans can do.

Core Responsibilities

• Workflow discovery: Shadow and interview Sales Engineers, Solutions Engineers, and Enterprise CSMs to map their day-to-day workflows and build a prioritized automation backlog ranked by impact and effort
• Sales Engineering tools: Build data-assembly tools that pull from HG's APIs, automate technical discovery prep, and generate proof-of-concept materials—reducing manual pre-call and post-call work for SEs
• Solutions Engineering tools: Automate the generation of technical scoping docs, integration-architecture diagrams, and solution briefs; maintain a reusable library of solution templates and sandbox configurations
• Enterprise CSM automations: Build automations for account health briefs, QBR summaries, risk-detection alerts, and personalized outreach workflows using data from Vitally, Salesforce, and Slack
• AI-powered workflow engineering: Design and deploy LLM-based workflows using Claude and the Claude Agent SDK—building agents, MCP server integrations, and agentic pipelines that operate across the GTM tool stack
• Platform ownership: Maintain and evolve the internal GTM automation stack; document every tool so teams can self-serve; instrument monitoring so failures surface quickly

What We're Looking For

Experience

• 3–7 years in a technical role—software engineering, solutions engineering, RevOps engineering, or a closely related field
• Demonstrated track record of building internal tools or automations that eliminated manual work for a GTM or customer-facing team
• Hands-on experience integrating with SaaS APIs (Salesforce, Slack, HubSpot, Vitally, or similar)

Technical skills

• Expert-level user of Claude Code—you use it daily, understand its agentic capabilities, and can build production workflows with it
• Proficiency in Python and/or JavaScript/TypeScript for scripting, API integration, and automation
• Working knowledge of MCP (Model Context Protocol) servers and LLM-based agent frameworks
• Comfort with workflow automation platforms such as n8n, Zapier, or Make
• Familiarity with the GTM tool ecosystem: Salesforce, Vitally, Slack, Gong, Granola, Outreach, or equivalent

How you work

• Business mindset: You understand that tools are only valuable if people use them—you design for adoption, not just functionality
• Discovery-first: You run structured discovery sessions with non-technical stakeholders and translate fuzzy pain points into scoped, buildable solutions
• Ship fast, iterate often: You prefer a useful tool in users' hands over a perfect tool on a roadmap
• High reliability bar: If an automation breaks, the team loses trust—you build with monitoring and graceful failure in mind

Nice to have

• Experience working in or embedded with a Sales Engineering, Solutions Consulting, or Customer Success team
• Familiarity with HG Insights products and use cases—technology intelligence, installed-base data, or intent signals
• Prior experience building Claude-powered agents or working with the Anthropic API at a production level

Why HG Insights

We're the global leader in technology intelligence—the data that helps the world's best B2B sales and marketing teams find and close the right customers. This role offers an uncommon combination of technical depth and business impact: you'll define your own roadmap, work directly with the teams you're serving, and see your work reflected in real revenue outcomes.

We offer competitive compensation, equity, and a team that genuinely invests in your growth as an engineer and as a GTM thinker.

HG Insights is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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. 

Role

We are looking for a Senior Staff Software Development Engineer to join our ZIA Cloud team. This is a hybrid role based in Bangalore, reporting to the Senior Manager, ZIA Core Engineering. You will make ZIA software run in Public Cloud Infrastructure, bringing strong public cloud infrastructure knowledge, technical expertise in network security, hands-on development experience, and proven leadership capabilities. You will bring your vision and passion to our team of experts who are enabling organizations worldwide to harness speed and agility with a cloud-first strategy through the world's largest cloud security platform.

What you’ll do (Role Expectations)

• Participate in the design, development, and optimization of firewall/SWG platforms in Cloud Infrastructure

• Execute the technical roadmap for firewalls/SWG in Cloud Infrastructure, ensuring alignment with business goals

• Work closely with engineering teams to enhance platform support for virtualized environments

• Drive professional development and growth initiatives for team members

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.

• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.

• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.

• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• 8+ years of experience in designing and implementing networking security software and public clouds infrastructure

• Direct experience working on C/C++ programming and firewall technology 

• Strong understanding of AWS services including VPCs, Subnets, Route Tables, Security Groups, NACLs, Transit Gateway, ELB, Route 53, and Network Firewall

• Experience in designing how FW/SWG solutions integrate with or extend native public cloud services- Firewall/IPS, FreeBSD, OpenSSL

• Technical knowledge in BSD/Linux operating systems and their application in platform development

What Will Make You Stand Out (Preferred Qualifications)

• Mastery of Network Security Fundamentals including TCP/IP, DNS, Http(s), VPN technologies, NAT, and load balancing

• Proven experience with Virtualization technologies

#LI-Hybrid

#LI-RG

Role 

We are looking for a Senior Software Development Engineer to join our Engineering department. This is a hybrid role based in Bangalore, reporting to the Sr. Manager, Software Engineering. 

You will be responsible for writing the frameworks and tools used to test our products, occupying a unique space that combines the "building" mindset of software design with the "breaking" mindset of software test engineering. In this role, you will design and develop wide-reaching tools and write code that automatically verifies product quality, often writing more code than the developers themselves.

What you’ll do (Role Expectations)

• Build robust frameworks and tools specifically designed to test complex products
• Design and develop wide-reaching tools that impact the entire engineering lifecycle
• Write high-quality code to automatically verify product quality and ensure seamless performance

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
• You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are a learner. You have a true growth mindset and never stop developing yourself, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
• You operate with urgency. You understand that in a high-growth environment, speed and quality are not mutually exclusive. You have a relentless focus on execution and a bias for action, delivering high-impact results quickly to win for the customer and the team.

What We’re Looking for (Minimum Qualifications)

• 3+ years of experience working on systems or distributed systems with a focus on networking, firewall technologies, and cloud infrastructure
• Hands-on proficiency in Python or Golang
• Foundational knowledge of public cloud computing platforms such as AWS, GCP, or Azure
• Experience with virtual environments including Docker, containers, Kubernetes, and OVA
• Proven track record of building automated testing frameworks

What Will Make You Stand Out (Preferred Qualifications)

• Deep understanding of TCP/IP protocol stack, HTTP, TLS, PKI, and related networking products like DNS, DHCP, VPN, and HA
• Familiarity with security technologies such as firewalls, IPS, and Authentication
• Advanced expertise in software development lifecycles and high-level development automation

#LI-GL2 #LI-Hybrid

Role:

We are looking for a Senior Software Development Engineer to join our Shared Platform Services team. This is a hybrid role based in Bangalore, reporting to the Senior Manager - Software Development Engineering.

You will be working on the Zscaler Client Connector team to protect corporate devices by securely and privately sending traffic to Zscaler’s global network, where advanced web filtering and Zero Trust policies are applied.

What you’ll do (Role Expectations)

• Lead ZCC feature design and hands-on C++ implementation on Linux
  environment.
• Take full technical ownership of complex projects, from concept to deployment.
• Elevate code quality and enforce best practices to ensure a robust, efficient, and secure client.

Who You Are (Success Profile)

• You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
• You act like an owner, operating with integrity because you genuinely care about the outcome.
• You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
• You are customer-obsessed, championing their needs from start to finish because their success is our success.
• You are driven by innovation, believing in the power of technology to accelerate transformation and always looking for a better, more secure, and scalable way.

What We’re Looking for (Minimum Qualifications)

• 3+ years of experience of developing enterprise applications with distributed systems background
• Strong C/C++ programming, Data structures/Algorithms & debugging skills in a cloud environment
• Deep understanding of Operating System principles and OS like Linux/Unix
• Extensive network programming experience (TCP/IP, HTTP/S, DNS, proxy) with knowledge of kernel-mode networking or NDIS drivers
• Strong understanding of cybersecurity principles, encryption (PKI, TLS/SSL), authentication, endpoint agents, and anti-tampering

What Will Make You Stand Out (Preferred Qualifications)

• In-depth understanding of QT frameworks
• Experience in Network Data Path & Socket programming & POSIX Multi-thread programming

#LI-HYBRID

#LI-GL2